CN112768040B - Multi-type equipment monitoring data fusion device and method - Google Patents
Multi-type equipment monitoring data fusion device and method Download PDFInfo
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Abstract
The invention belongs to the technical field of data communication of medical equipment, and particularly relates to a multi-type equipment monitoring data fusion device, which comprises: the data communication module is used for transmitting related data aiming at the same target in the multi-type equipment to the data processing module in real time by utilizing a self-defined bedside equipment network protocol; and the data processing module is used for carrying out de-duplication processing on the related data which are received in real time and are aimed at the same target, obtaining the related data of a plurality of types of equipment which are aimed at the same target after de-duplication, and classifying, storing and displaying the related data.
Description
Technical Field
The invention belongs to the technical field of data communication of medical equipment, and particularly relates to a multi-type equipment monitoring data fusion device and method.
Background
In an Intensive Care Unit (ICU) or an operating room, a patient typically uses multiple types of devices such as monitors, anesthesia machines, ventilators, infusion pumps, and syringe pumps, and each individual device typically has multiple patient monitoring parameters, waveforms, and individual device information.
However, in the existing method, holographic data of a breathing machine, an anesthesia machine, a monitor, an infusion pump and a syringe pump cannot be directly connected to the same data platform, or the data of the breathing machine, the anesthesia machine, the infusion pump and the syringe pump are firstly connected to the monitor and then forwarded to a monitoring central station through the monitor; or the data of the breathing machine, the anesthesia machine, the monitor, the infusion pump and the injection pump are collected into the box through a data collection box, and then sent to a data center for centralized display.
However, in the existing method, the acquired parameters of the same patient on different devices are not fused, only the display screens on a plurality of devices can be focused on beside the bed of each patient, and the data of the plurality of devices are manually integrated, so that the workload is high, the working efficiency is greatly reduced, and the acquired data is not processed and analyzed.
Disclosure of Invention
In order to solve the above-mentioned drawbacks of the prior art, the present invention proposes a multi-type device monitoring data fusion apparatus, which includes:
the data communication module is used for transmitting related data aiming at the same target in the multi-type equipment to the data processing module in real time by utilizing a self-defined bedside equipment network protocol; and
The data processing module is used for carrying out de-duplication processing on the related data which are received in real time and are aimed at the same target, obtaining the related data of a plurality of types of equipment which are aimed at the same target after de-duplication, and carrying out classification, storage, display, review and forwarding.
As an improvement of the above solution, the bedside device network is a local area network capable of supporting network modes including, but not limited to, ethernet, WIFI, telemetry, radio, 4G or 5G.
As an improvement of the above technical solution, the multi-type device includes, but is not limited to: breathing machine, anesthesia machine, monitor, infusion pump and syringe pump.
As one of the improvements of the above technical solutions, the related data for the same object includes: ventilator data or/and anesthesia machine data, monitor data, infusion pump data and syringe pump data;
the monitor data includes, but is not limited to: real-time waveform data of the monitor, monitoring parameter data of the monitor and real-time alarm information of the monitor;
The infusion pump data includes, but is not limited to: real-time waveform data of the infusion pump, monitoring parameter data of the infusion pump, real-time alarm information of the infusion pump and setting parameter data of the infusion pump;
the syringe pump data includes, but is not limited to: real-time waveform data of the injection pump, monitoring parameter data of the injection pump, real-time alarm information of the injection pump and setting parameter data of the injection pump;
The ventilator data includes, but is not limited to: real-time waveform data of the breathing machine, monitoring parameter data of the breathing machine, real-time alarm information of the breathing machine and ventilation parameter data of the breathing machine; or/and the anesthesia machine data includes, but is not limited to: real-time waveform data of the anesthesia machine, monitoring parameter data of the anesthesia machine, real-time alarm information of the anesthesia machine, ventilation parameter data of the anesthesia machine, anesthetic gas data of the anesthesia machine and flowmeter data of the anesthesia machine.
As an improvement of the foregoing, the ventilator data further includes, but is not limited to: setting parameter data of the ventilator, event data of the ventilator, and ring data of the ventilator.
As an improvement of the foregoing aspect, the monitor data further includes, but is not limited to: setting parameter data of the monitor, event data of the monitor and operation log data of the monitor.
As an improvement of the foregoing technical solution, the infusion pump data further includes, but is not limited to: event data for the infusion pump and operation log data for the infusion pump.
As an improvement of the foregoing technical solution, the syringe pump data further includes, but is not limited to: event data for the syringe pump and log data for the operation of the syringe pump.
As an improvement of the foregoing technical solution, the anesthesia machine data further includes, but is not limited to: setting parameter data of the anesthesia machine, event data of the anesthesia machine, ring data of the anesthesia machine and operation log data of the anesthesia machine.
As one of the improvements of the above technical solution, the related data aiming at the same target in the multi-type device is sent to the data processing module in real time by using the self-defined bedside equipment network protocol; the specific process is as follows:
Transmitting real-time waveform data of each type of equipment aiming at the same target according to byte stream encryption, transmitting configuration information of each waveform including but not limited to waveform name, data type, sampling rate, data unit and waveform starting time, and then transmitting the waveform real-time data of each type of equipment aiming at the same target to a data processing module in real time according to the sampling rate;
Sending the monitoring parameter data of each type of equipment aiming at the same target according to byte stream encryption, sending configuration information of each monitoring parameter including but not limited to parameter name, data type, data unit, parameter type and parameter sampling rate, and then sending the numerical value of the monitoring parameter of each type of equipment aiming at the same target to a data processing module in real time according to the parameter sampling rate;
transmitting real-time alarm information of each type of equipment aiming at the same target according to byte stream encryption, transmitting configuration information of each alarm information including but not limited to an alarm name, an alarm type, an alarm parameter upper limit, an alarm parameter lower limit, an alarm level and an alarm switch, and then transmitting the alarm information of each type of equipment aiming at the same target to a data processing module when each real-time alarm is triggered, released, the alarm level is changed, the alarm switch is changed, alarm is reset or alarm is paused;
Transmitting the ventilation parameter data of each type of equipment aiming at the same target according to byte stream encryption, and immediately transmitting the configuration information of the parameter name, the parameter type, the data type and the numerical units of the ventilation parameter of each type of equipment aiming at the same target to a data processing module when the ventilation parameter changes;
Setting parameter data of each type of equipment aiming at the same target is sent according to byte stream encryption, and configuration information comprising, but not limited to, parameter names, parameter types, data types and numerical units of the setting parameters of each type of equipment aiming at the same target is immediately sent to a data processing module when the setting parameters change;
Sending the event data of each type of device aiming at the same target according to byte stream encryption, and immediately sending configuration information including but not limited to event name, event type, event change date and time of each type of device aiming at the same target to a data processing module when event triggering or event release occurs;
The ring data of each type of device aiming at the same target is sent according to byte stream encryption, configuration information including but not limited to parameter name, data type, sampling rate, data unit and ring starting time of each ring is sent, and the ring data of each type of device aiming at the same target is sent to a data processing module in real time according to the sampling rate.
As one of the improvements of the above technical solutions, the data processing module includes: the device comprises a de-duplication unit, a display unit, a review unit and a forwarding unit;
The de-duplication unit is used for fusing and summarizing the received related data of a plurality of types of devices aiming at the same target, and only preserving one data with the same function or the same monitoring parameter to obtain the related data of the plurality of types of devices aiming at the same target after de-duplication;
the display unit is used for displaying the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit is used for reviewing and viewing related data of a plurality of types of equipment aiming at the same target after repeated removal in the past;
The forwarding unit is used for forwarding the relevant data of the multiple types of equipment aiming at the same target after the duplication removal.
The invention also provides a multi-type equipment monitoring data fusion method, which comprises the following steps:
In a pre-established bedside equipment network, a data communication module utilizes a self-defined bedside equipment network protocol to send relevant data of a plurality of types of equipment aiming at the same target in the plurality of types of equipment to a data processing module in real time;
The data processing module performs de-duplication processing on the real-time received relevant data of multiple types of devices aiming at the same target to obtain the relevant data of multiple types of devices aiming at the same target after de-duplication, and performs classification, storage, display, review and forwarding, including but not limited to.
As one of the improvements of the above technical solution, the data processing module analyzes the related data received in real time for the same target to obtain the analyzed data for the same target, and performs classification, storage, display, review and forwarding; the specific process is as follows:
The data processing module receives related data aiming at the same target in real time, wherein the related data comprises: breathing machine data, anesthesia machine data, monitor data, infusion pump data and syringe pump data;
The deduplication unit fuses and gathers the received related data of a plurality of types of devices aiming at the same target, only one data with the same monitoring function or the same monitoring parameter is reserved, the related data of the plurality of types of devices aiming at the same target after deduplication is obtained, and the related data are classified and stored;
The display unit displays the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit reviews and views related data of a plurality of types of devices aiming at the same target after repeated removal in the past;
the forwarding unit forwards the relevant data of the multiple types of equipment aiming at the same target after the duplication removal.
As one of the improvements of the above technical solution, the deduplication unit fuses and summarizes the received related data of multiple types of devices for the same target, retains only one data with the same monitoring function or the same monitoring parameter, obtains the related data of multiple types of devices for the same target after deduplication, and classifies and stores the related data; the specific process is as follows:
the deduplication unit fuses and summarizes the received related data of a plurality of types of devices aiming at the same target;
Fusing and summarizing the data with the same monitoring function or the same monitoring parameter, and judging whether each monitoring parameter in the data with the same monitoring function or the same monitoring parameter needs to be reserved or not one by one;
If each monitoring parameter in the data with the same monitoring function or the same monitoring parameter is smaller than or equal to a preset safety threshold value, averaging all the monitoring parameters in the data with the same monitoring function or the same monitoring parameter, and only reserving the average value;
if a certain monitoring parameter in the data with the same monitoring function or the same monitoring parameter is larger than a preset safety threshold, only the monitoring parameter is reserved, and the monitoring parameter is further monitored according to the monitoring function of the monitoring parameter so as to judge whether the target is normal or not;
If the monitoring value obtained after the monitoring parameter is further monitored is smaller than or equal to a preset safety threshold value, the target is considered to be normal;
And if the monitoring value obtained after the monitoring parameter is further monitored is greater than a preset safety threshold value, the target is considered to be abnormal.
Compared with the prior art, the invention has the beneficial effects that:
According to the method, the holographic data of different equipment aiming at the same target can be displayed, fused and transmitted in a centralized way by using a breathing machine, an anesthesia machine, a monitor, an infusion pump, a syringe pump and the like without forwarding a monitor or a data collection box, multiple types of data aiming at the same target are associated, repeated data are abandoned, the workload of the patients is greatly reduced, and the running condition and the working state of each bedside equipment can be monitored more intuitively and efficiently; the working efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of a method of multi-type device monitoring data fusion of the present invention.
Detailed Description
The invention will now be further described with reference to the accompanying drawings.
The invention provides a multi-type equipment monitoring data fusion device, which comprises: a data communication module and a data processing module;
The data communication module is used for transmitting related data aiming at the same target in the multi-type equipment to the data processing module in real time by utilizing a self-defined bedside equipment network protocol;
Specifically, sending real-time waveform data of each type of equipment aiming at the same target according to byte stream encryption, sending configuration information including but not limited to waveform name, data type, sampling rate, data unit and waveform starting time of each waveform, and then sending the waveform real-time data of each type of equipment aiming at the same target to a data processing module in real time according to the sampling rate;
Sending the monitoring parameter data of each type of equipment aiming at the same target according to byte stream encryption, sending configuration information of each monitoring parameter including but not limited to parameter name, data type, data unit, parameter type and parameter sampling rate, and then sending the numerical value of the monitoring parameter of each type of equipment aiming at the same target to a data processing module in real time according to the parameter sampling rate;
transmitting real-time alarm information of each type of equipment aiming at the same target according to byte stream encryption, transmitting configuration information of each alarm information including but not limited to an alarm name, an alarm type, an alarm parameter upper limit, an alarm parameter lower limit, an alarm level and an alarm switch, and then transmitting the alarm information of each type of equipment aiming at the same target to a data processing module when each real-time alarm is triggered, released, the alarm level is changed, the alarm switch is changed, alarm is reset or alarm is paused;
Transmitting the ventilation parameter data of each type of device aiming at the same target according to byte stream encryption, and immediately transmitting configuration information comprising but not limited to parameter names, parameter types, data types and numerical units of the ventilation parameters of each type of device aiming at the same target to a data processing module when the ventilation parameters change;
Setting parameter data of each type of equipment aiming at the same target is sent according to byte stream encryption, and configuration information comprising, but not limited to, parameter names, parameter types, data types and numerical units of the setting parameters of each type of equipment aiming at the same target is immediately sent to a data processing module when the setting parameters change;
Sending the event data of each type of device aiming at the same target according to byte stream encryption, and immediately sending configuration information including but not limited to event name, event type, event change date and time of each type of device aiming at the same target to a data processing module when event triggering or event release occurs;
The ring data of each type of device aiming at the same target is sent according to byte stream encryption, configuration information including but not limited to parameter name, data type, sampling rate, data unit and ring starting time of each ring is sent, and the ring data of each type of device aiming at the same target is sent to a data processing module in real time according to the sampling rate.
The data processing module is used for carrying out de-duplication processing on the related data which are received in real time and are aimed at the same target, obtaining the related data of a plurality of types of equipment which are aimed at the same target after de-duplication, and carrying out classification, storage, display, review and forwarding.
Specifically, the data processing module includes: the device comprises a de-duplication unit, a display unit, a review unit and a forwarding unit;
The de-duplication unit is used for fusing and summarizing the received related data of a plurality of types of devices aiming at the same target, and only preserving one data with the same function or the same monitoring parameter to obtain the related data of the plurality of types of devices aiming at the same target after de-duplication;
the display unit is used for displaying the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit is used for reviewing and viewing related data of a plurality of types of equipment aiming at the same target after repeated removal in the past;
The forwarding unit is used for forwarding the relevant data of the multiple types of equipment aiming at the same target after the duplication removal.
Wherein the bedside device network is a local area network capable of supporting network modes including, but not limited to, ethernet, wireless WIFI, telemetry, radio, 4G, or 5G.
The multi-type device includes: breathing machine, anesthesia machine, monitor, infusion pump and syringe pump.
Wherein the related data for the same object includes: ventilator data and/or anesthesia machine data, monitor data, infusion pump data, and syringe pump data;
the monitor data includes, but is not limited to: real-time waveform data of the monitor, monitoring parameter data of the monitor and real-time alarm information of the monitor;
The infusion pump data includes, but is not limited to: real-time waveform data of the infusion pump, monitoring parameter data of the infusion pump, real-time alarm information of the infusion pump and setting parameter data of the infusion pump;
the syringe pump data includes, but is not limited to: real-time waveform data of the injection pump, monitoring parameter data of the injection pump, real-time alarm information of the injection pump and setting parameter data of the injection pump;
The ventilator data includes, but is not limited to: real-time waveform data of the breathing machine, monitoring parameter data of the breathing machine, real-time alarm information of the breathing machine and ventilation parameter data of the breathing machine; or/and the anesthesia machine data includes, but is not limited to: real-time waveform data of the anesthesia machine, monitoring parameter data of the anesthesia machine, real-time alarm information of the anesthesia machine, ventilation parameter data of the anesthesia machine, anesthetic gas data of the anesthesia machine and flowmeter data of the anesthesia machine.
Optionally, the ventilator data further includes, but is not limited to: setting parameter data of the ventilator, event data of the ventilator, and ring data of the ventilator.
Optionally, the monitor data further includes, but is not limited to: setting parameter data of the monitor, event data of the monitor and operation log data of the monitor.
Optionally, the infusion pump data further includes, but is not limited to: event data for the infusion pump and operation log data for the infusion pump.
Optionally, the syringe pump data further includes, but is not limited to: event data for the syringe pump and log data for the operation of the syringe pump.
Optionally, the anesthesia machine data further includes, but is not limited to: setting parameter data of the anesthesia machine, event data of the anesthesia machine, ring data of the anesthesia machine and operation log data of the anesthesia machine.
The invention also provides a multi-type equipment monitoring data fusion method, which comprises the following steps:
In a pre-established bedside equipment network, a data communication module utilizes a self-defined bedside equipment network protocol to send relevant data of a plurality of types of equipment aiming at the same target in the plurality of types of equipment to a data processing module in real time;
The data processing module performs de-duplication processing on the real-time received related data of a plurality of types of devices aiming at the same target to obtain de-duplicated related data of a plurality of types of devices aiming at the same target, and classifies, stores, displays, reviews and forwards the de-duplicated related data.
Specifically, the data processing module receives, in real time, related data for the same target, the related data including: ventilator data and/or anesthesia machine data, monitor data, infusion pump data, and syringe pump data;
The deduplication unit fuses and gathers the received related data of a plurality of types of devices aiming at the same target, only one data with the same monitoring function or the same monitoring parameter is reserved, and the rest of the same data are deleted, so that the related data of the plurality of types of devices aiming at the same target after deduplication are obtained, and classified and stored;
specifically, the deduplication unit fuses and summarizes the received related data of a plurality of types of devices aiming at the same target;
Fusing and summarizing the data with the same monitoring function or the same monitoring parameter, and judging whether each monitoring parameter in the data with the same monitoring function or the same monitoring parameter needs to be reserved or not one by one;
If each monitoring parameter in the data with the same monitoring function or the same monitoring parameter is smaller than or equal to a preset safety threshold value, averaging all the monitoring parameters in the data with the same monitoring function or the same monitoring parameter, and only reserving the average value;
if a certain monitoring parameter in the data with the same monitoring function or the same monitoring parameter is larger than a preset safety threshold, only the monitoring parameter is reserved, and the monitoring parameter is further monitored according to the monitoring function of the monitoring parameter so as to judge whether the target is normal or not;
If the monitoring value obtained after the monitoring parameter is further monitored is smaller than or equal to a preset safety threshold value, the target is considered to be normal;
And if the monitoring value obtained after the monitoring parameter is further monitored is greater than a preset safety threshold value, the target is considered to be abnormal.
The display unit displays the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit reviews and views related data of a plurality of types of devices aiming at the same target after repeated removal in the past;
The forwarding unit forwards the relevant data of the multiple types of equipment aiming at the same target after the duplication removal.
The invention is provided with the message server and the data center, the holographic data of the breathing machine, the anesthesia machine, the monitor, the infusion pump and the injection pump are collected to the data center through the method and the device, the data center carries out fusion calculation on the data, then the data of the data center can be sent to the outside of a hospital through the message server and transmitted to a superior diagnosis and treatment mechanism, remote real-time monitoring and remote real-time control can be realized, and powerful data support is provided for regional medical treatment and grading diagnosis and treatment.
The method can integrate the data of various types of equipment, namely the breathing machine, the monitor, the infusion pump and the injection pump, perform de-duplication treatment, and fuse the data among different bedside equipment, fuse the real-time monitoring parameters and waveforms aiming at the same target on different equipment, and utilize a big data analysis method on the basis, so that the running condition and the working state of the bedside equipment can be monitored more intuitively and more efficiently; providing a specific alarm prompt for each device, remotely monitoring a plurality of devices, safely transmitting and intensively displaying the low-delay holographic data of the breathing machine, and remotely reviewing the holographic data of the breathing machine, safely transmitting and intensively displaying the holographic data of the injection pump with low-delay, and remotely reviewing the holographic data of the injection pump; and the low-delay safe transmission and centralized display of the holographic data of the infusion pump, and the remote review of the holographic data of the infusion pump.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and are not limiting. Although the present invention has been described in detail with reference to the embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the present invention, which is intended to be covered by the appended claims.
Claims (11)
1. A multi-type device monitoring data fusion apparatus, the apparatus comprising:
the data communication module is used for transmitting related data aiming at the same target in the multi-type equipment to the data processing module in real time by utilizing a self-defined bedside equipment network protocol; and
The data processing module is used for carrying out de-duplication processing on the related data which are received in real time and are aimed at the same target, obtaining the related data of a plurality of types of equipment which are aimed at the same target after de-duplication, and carrying out classification, storage, display, review and forwarding;
the data processing module comprises: the device comprises a de-duplication unit, a display unit, a review unit and a forwarding unit;
The de-duplication unit is used for fusing and summarizing the received related data of a plurality of types of devices aiming at the same target, and only preserving one data with the same function or the same monitoring parameter to obtain the related data of the plurality of types of devices aiming at the same target after de-duplication;
the display unit is used for displaying the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit is used for reviewing and viewing related data of a plurality of types of equipment aiming at the same target after repeated removal in the past;
the forwarding unit is used for forwarding the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
the data processing process of the duplicate removal unit is as follows:
the deduplication unit fuses and summarizes the received related data of a plurality of types of devices aiming at the same target;
Fusing and summarizing the data with the same monitoring function or the same monitoring parameter, and judging whether each monitoring parameter in the data with the same monitoring function or the same monitoring parameter needs to be reserved or not one by one;
If each monitoring parameter in the data with the same monitoring function or the same monitoring parameter is smaller than or equal to a preset safety threshold value, averaging all the monitoring parameters in the data with the same monitoring function or the same monitoring parameter, and only reserving the average value;
if a certain monitoring parameter in the data with the same monitoring function or the same monitoring parameter is larger than a preset safety threshold, only the monitoring parameter is reserved, and the monitoring parameter is further monitored according to the monitoring function of the monitoring parameter so as to judge whether the target is normal or not;
If the monitoring value obtained after the monitoring parameter is further monitored is smaller than or equal to a preset safety threshold value, the target is considered to be normal;
And if the monitoring value obtained after the monitoring parameter is further monitored is greater than a preset safety threshold value, the target is considered to be abnormal.
2. The multi-type device monitoring data fusion apparatus of claim 1, wherein the bedside device network is a local area network capable of supporting network modes including ethernet, wireless WIFI, telemetry, radio, 4G or 5G.
3. The multi-type device monitoring data fusion apparatus of claim 1, wherein the multi-type device comprises: breathing machine, anesthesia machine, monitor, infusion pump and syringe pump.
4. A multi-type device monitoring data fusion apparatus according to claim 3, wherein the related data for the same object comprises: ventilator data or/and anesthesia machine data, monitor data, infusion pump data and syringe pump data;
The monitor data includes: real-time waveform data of the monitor, monitoring parameter data of the monitor and real-time alarm information of the monitor;
the infusion pump data includes: real-time waveform data of the infusion pump, monitoring parameter data of the infusion pump, real-time alarm information of the infusion pump and setting parameter data of the infusion pump;
The syringe pump data includes: real-time waveform data of the injection pump, monitoring parameter data of the injection pump, real-time alarm information of the injection pump and setting parameter data of the injection pump;
The ventilator data includes: real-time waveform data of the breathing machine, monitoring parameter data of the breathing machine, real-time alarm information of the breathing machine and ventilation parameter data of the breathing machine; or/and the anesthesia machine data comprises: real-time waveform data of the anesthesia machine, monitoring parameter data of the anesthesia machine, real-time alarm information of the anesthesia machine, ventilation parameter data of the anesthesia machine, anesthetic gas data of the anesthesia machine and flowmeter data of the anesthesia machine.
5. The multi-type device monitoring data fusion apparatus of claim 4, wherein the ventilator data further comprises: setting parameter data of the ventilator, event data of the ventilator, and ring data of the ventilator.
6. The multi-type device monitoring data fusion apparatus of claim 4, wherein the monitor data further comprises: setting parameter data of the monitor, event data of the monitor and operation log data of the monitor.
7. The multi-type device monitoring data fusion apparatus of claim 4, wherein the infusion pump data further comprises: event data for the infusion pump and operation log data for the infusion pump.
8. The multi-type device monitoring data fusion apparatus of claim 4, wherein the syringe pump data further comprises: event data for the syringe pump and log data for the operation of the syringe pump.
9. The multi-type device monitoring data fusion apparatus of claim 4, wherein the anesthesia machine data further comprises: setting parameter data of the anesthesia machine, event data of the anesthesia machine, ring data of the anesthesia machine and operation log data of the anesthesia machine.
10. The multi-type device monitoring data fusion apparatus according to claim 1, wherein the related data for the same object in the multi-type device is sent to the data processing module in real time by using a custom bedside device network protocol; the specific process is as follows:
The method comprises the steps of encrypting and transmitting real-time waveform data of each type of equipment aiming at the same target according to byte stream, transmitting configuration information of each waveform, including waveform name, data type, sampling rate, data unit and waveform starting time, and transmitting the waveform real-time data of each type of equipment aiming at the same target to a data processing module in real time according to the sampling rate;
The method comprises the steps of sending monitoring parameter data of each type of equipment aiming at the same target according to byte stream encryption, sending configuration information of each monitoring parameter, including parameter name, data type, data unit, parameter type and parameter sampling rate, and then sending the numerical value of the monitoring parameter of each type of equipment aiming at the same target to a data processing module in real time according to the parameter sampling rate;
The method comprises the steps of sending real-time alarm information of each type of equipment aiming at the same target according to byte stream encryption, sending configuration information of each alarm information, including an alarm name, an alarm type, an alarm parameter upper limit, an alarm parameter lower limit, an alarm level and an alarm switch, and then sending the alarm information of each type of equipment aiming at the same target to a data processing module when each real-time alarm is triggered, released, the alarm level is changed, the alarm switch is changed, alarm is reset or alarm is suspended;
Transmitting the ventilation parameter data of each type of equipment aiming at the same target according to byte stream encryption, and immediately transmitting the configuration information of the parameter name, the parameter type, the data type and the numerical units of the ventilation parameter of each type of equipment aiming at the same target to a data processing module when the ventilation parameter changes;
Setting parameter data of each type of equipment aiming at the same target is sent according to byte stream encryption, and configuration information comprising parameter names, parameter types, data types and numerical units of the setting parameters of each type of equipment aiming at the same target is immediately sent to a data processing module when the setting parameters change;
Sending the event data of each type of equipment aiming at the same target according to byte stream encryption, and immediately sending configuration information comprising event names, event types, event change dates and times of the event data of each type of equipment aiming at the same target to a data processing module when event triggering or event releasing occurs;
And transmitting the ring data of each type of equipment aiming at the same target according to byte stream encryption, transmitting configuration information comprising parameter names, data types, sampling rates, data units and ring starting time of each ring, and transmitting the ring data of each type of equipment aiming at the same target to a data processing module in real time according to the sampling rates.
11. A method of multi-type device monitoring data fusion, the method comprising:
In a pre-established bedside equipment network, a data communication module utilizes a self-defined bedside equipment network protocol to send relevant data of a plurality of types of equipment aiming at the same target in the plurality of types of equipment to a data processing module in real time;
The data processing module performs de-duplication processing on the real-time received related data of a plurality of types of devices aiming at the same target to obtain de-duplicated related data of a plurality of types of devices aiming at the same target, and performs classification, storage, display, review and forwarding;
The data processing module analyzes the related data which are received in real time and aim at the same target to obtain analyzed data which aim at the same target, and performs classification, storage, display, review and forwarding; the specific process is as follows:
The data processing module receives related data aiming at the same target in real time, wherein the related data comprises: breathing machine data, anesthesia machine data, monitor data, infusion pump data and syringe pump data;
The deduplication unit fuses and gathers the received related data of a plurality of types of devices aiming at the same target, only one data with the same monitoring function or the same monitoring parameter is reserved, the related data of the plurality of types of devices aiming at the same target after deduplication is obtained, and the related data are classified and stored;
The display unit displays the relevant data of the multiple types of equipment aiming at the same target after the duplication removal;
The review unit reviews and views related data of a plurality of types of devices aiming at the same target after repeated removal in the past;
the forwarding unit forwards the relevant data of the multiple types of equipment aiming at the same target after the duplication elimination;
The de-duplication unit fuses and gathers the received related data of a plurality of types of devices aiming at the same target, only one data with the same monitoring function or the same monitoring parameter is reserved, the related data of the plurality of types of devices aiming at the same target after de-duplication is obtained, and classification and storage are carried out; the specific process is as follows:
the deduplication unit fuses and summarizes the received related data of a plurality of types of devices aiming at the same target;
Fusing and summarizing the data with the same monitoring function or the same monitoring parameter, and judging whether each monitoring parameter in the data with the same monitoring function or the same monitoring parameter needs to be reserved or not one by one;
If each monitoring parameter in the data with the same monitoring function or the same monitoring parameter is smaller than or equal to a preset safety threshold value, averaging all the monitoring parameters in the data with the same monitoring function or the same monitoring parameter, and only reserving the average value;
if a certain monitoring parameter in the data with the same monitoring function or the same monitoring parameter is larger than a preset safety threshold, only the monitoring parameter is reserved, and the monitoring parameter is further monitored according to the monitoring function of the monitoring parameter so as to judge whether the target is normal or not;
If the monitoring value obtained after the monitoring parameter is further monitored is smaller than or equal to a preset safety threshold value, the target is considered to be normal;
And if the monitoring value obtained after the monitoring parameter is further monitored is greater than a preset safety threshold value, the target is considered to be abnormal.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109065143A (en) * | 2018-09-10 | 2018-12-21 | 深圳市前海澳威智控科技有限责任公司 | Intelligent guarding system custodial care facility collecting method |
| CN111010445A (en) * | 2019-12-20 | 2020-04-14 | 北京邮电大学 | Intelligent medical information system supporting multiple communication protocols, and acquisition method and device |
| CN113312428A (en) * | 2021-05-28 | 2021-08-27 | 中国人民解放军战略支援部队航天工程大学 | Multi-source heterogeneous training data fusion method, device and equipment |
| CN116543878A (en) * | 2023-05-23 | 2023-08-04 | 上海医加医科技有限公司 | Big data monitoring method and system for 24-hour online inquiry |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008503268A (en) * | 2004-06-18 | 2008-02-07 | ヴィーヴォメトリックス インコーポレイテッド | System and method for real-time physiological monitoring |
| US8255238B2 (en) * | 2005-01-03 | 2012-08-28 | Airstrip Ip Holdings, Llc | System and method for real time viewing of critical patient data on mobile devices |
| US8676937B2 (en) * | 2011-05-12 | 2014-03-18 | Jeffrey Alan Rapaport | Social-topical adaptive networking (STAN) system allowing for group based contextual transaction offers and acceptances and hot topic watchdogging |
| CN103700049A (en) * | 2013-12-11 | 2014-04-02 | 东南大学 | Communicable network monitoring system control method based on Internet of Things |
| WO2015158184A1 (en) * | 2014-04-18 | 2015-10-22 | 俞卫中 | Intelligently-analgesic infusion pump monitoring system and method |
| CN204334633U (en) * | 2014-12-24 | 2015-05-13 | 刘俊彪 | A kind of Multi-serial port medical treatment gateway and system |
| CN105050126B (en) * | 2015-06-25 | 2019-02-26 | 东华大学 | A wireless sensor network monitoring system based on endocrine regulation mechanism |
| CN104915569A (en) * | 2015-06-26 | 2015-09-16 | 柳州市自动化科学研究所 | Data collection and analog simulation method for medical clinical monitoring equipment |
| CN106934190A (en) * | 2015-12-29 | 2017-07-07 | 北京谊安医疗系统股份有限公司 | A kind of generation method of Anesthesia machine tendency chart |
| CN105678092B (en) * | 2016-02-01 | 2018-10-19 | 中国人民解放军第三军医大学第三附属医院 | Intensive Care Therapy intelligent alarm based on Internet of Things manages system |
| CN207008332U (en) * | 2017-04-25 | 2018-02-13 | 深圳市汇健医疗工程有限公司 | Clean operating room centralized displaying control system |
| JP7007178B2 (en) * | 2017-12-25 | 2022-01-24 | 日本光電工業株式会社 | Anesthetic machine |
| JP2022506459A (en) * | 2018-10-29 | 2022-01-17 | ストロング フォース ティエクス ポートフォリオ ２０１８，エルエルシー | How to improve machines and systems that automate the execution of distributed ledgers and other transactions in the spot and forward markets of energy, computation, storage, and other resources, and systems. |
| CN111431862B (en) * | 2020-02-28 | 2022-03-18 | 中国电子科技网络信息安全有限公司 | Network security deep protection method and system for threat-driven power monitoring system |
| CN111540459A (en) * | 2020-04-20 | 2020-08-14 | 深圳市科曼医疗设备有限公司 | Monitoring system and monitoring method |
| CN111933270A (en) * | 2020-07-17 | 2020-11-13 | 浙江理工大学 | Mobile medical data acquisition and transmission system based on Internet of things |
-
2020
- 2020-12-31 CN CN202011638058.0A patent/CN112768040B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109065143A (en) * | 2018-09-10 | 2018-12-21 | 深圳市前海澳威智控科技有限责任公司 | Intelligent guarding system custodial care facility collecting method |
| CN111010445A (en) * | 2019-12-20 | 2020-04-14 | 北京邮电大学 | Intelligent medical information system supporting multiple communication protocols, and acquisition method and device |
| CN113312428A (en) * | 2021-05-28 | 2021-08-27 | 中国人民解放军战略支援部队航天工程大学 | Multi-source heterogeneous training data fusion method, device and equipment |
| CN116543878A (en) * | 2023-05-23 | 2023-08-04 | 上海医加医科技有限公司 | Big data monitoring method and system for 24-hour online inquiry |
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|---|---|
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