Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an automatic sample injection device for a chromatograph based on vision and voice recognition.
The invention aims at realizing the technical scheme that the automatic sample injection device for the chromatograph based on vision and voice recognition comprises a main control board, wherein the main control board is connected with a PC end, a vision recognition system, a voice recognition system, a three-axis control module, an injection pump module, a switching valve module and a sample injection valve module;
The visual recognition system comprises a camera, a light source and an image processing unit, wherein the camera, the light source and the image processing unit are used for collecting images of sample bottles and recognizing the positions and the liquid levels of the sample bottles, the voice recognition system comprises a microphone and a voice recognition processing unit, the voice recognition processing unit is used for recognizing and recording sample information recorded by experimenters, the main control board is used for receiving and processing the recognition information transmitted by the visual recognition system and the voice recognition system, controlling the movement of a sample tray and a sampling needle according to the recognition information to complete automatic sample injection operation and control each module to work cooperatively, the triaxial control module is used for controlling the sampling position, driving a stepping motor or a servo motor to precisely move through the main control board to realize the positioning of the sampling position and the suction of the samples, the sample tray is used for placing the sample bottles and can rotate or translate to realize the switching of different sample bottles, the sampling needle is used for sucking samples and can move in the horizontal or vertical direction to realize the positioning, the injection pump module is used for sucking or discharging samples in the sample bottles and cleaning liquid in the sample bottles, the switching valve module is used for switching the sucking and discharging functions of the injection pump, the sampling valve module is connected between the infusion pump and the chromatographic column, and the chromatographic system;
the main control board is used for comparing the visual identification information and the voice identification information with each other and carrying out automatic sample injection through an automatic sample injection method.
Preferably, the camera and the light source are provided with a plurality of cameras and are used for monitoring the motion states of all the motion modules in real time.
Preferably, the sample information comprises a sample name, a sample type, real-time recording information input time, a sample injection amount and a sample injection method.
Preferably, a cleaning tank is further provided for cleaning the sampling needle, and according to the sample information identified by voice and vision, a corresponding cleaning mode is automatically formed and a corresponding cleaning action is executed.
Preferably, the sampling needle is made of stainless steel materials, is externally provided with an inert coating, and is provided with holes on the side face of the sampling needle.
Preferably, the injection pump module comprises a glass injector and a motor screw rod driving module.
Preferably, the sample injection valve module is an electric control high-pressure two-position six-way valve, and when the sample injection valve module is in a sample loading position, the sample is loaded by accurately moving the injection pump module, and when the sample injection valve module is cut to an injection position, the loaded sample is transferred to a chromatographic system and enters a chromatographic column for separation and rear end detection.
Preferably, the device is also provided with a cleaning solution bottle and a waste solution bottle, wherein the cleaning solution bottle is used for storing cleaning solution, the cleaning solution is used for flushing the inner wall and the outer wall of the sampling needle and all connecting pipelines of the device, and the waste solution bottle is used for storing all waste solution generated by the device.
Preferably, the automatic sample injection method comprises the following steps:
Placing the sample bottle on a sample tray, inputting the placed sample information through microphone voice, and transmitting the sample information to upper computer software after the sample bottle is identified by a main control board;
The visual recognition system monitors the inside of the device cavity in real time and transmits image information to the upper computer software;
The upper computer software compares the voice input information with the sample bottle information on the sample disk which is visually identified, and automatically generates a sample injection sequence after comparison is error-free;
after the upper computer software clicks the acquisition start button, the device starts to perform sample injection;
The main control board controls the sample tray seat to rotate or translate, and controls the sampling needle arm to accurately move, the sampling needle pierces the sample tray to absorb the sample, and meanwhile, the camera acquires the movement information of all modules and the state of the sample bottle in real time, so that accurate sample injection is realized;
after the sampling is completed, the sample injection valve module is cut to an injection position, and the loaded sample is transferred to a chromatographic system for subsequent separation and detection.
Preferably, a plurality of sample trays are provided.
The beneficial effects of the invention are as follows:
1) According to the sample information input by the user voice, the sample information is compared with the sample bottle image monitored by visual recognition, and mutual verification can ensure that the input is correct.
2) The high precision adopts the visual recognition technology, can realize the accurate positioning of the position and the liquid level height of the sample bottle, and improves the sampling precision.
3) The sample bottles with different specifications and shapes can be automatically identified, the clamp is not required to be replaced or parameters are not required to be adjusted, and the operation is simple and convenient.
4) Low failure rate, reduced use of mechanical parts and sensors, reduced failure rate, and improved instrument reliability.
5) The intelligent device can realize the functions of automatic identification, automatic positioning, automatic sample injection and the like, and improves the analysis efficiency.
6) And (3) automation, namely automatically inputting all sample information to be detected through voice recognition without manually inputting a large amount of sample information by a user.
7) High stability, namely detecting the internal state at any time through the real-time monitoring of visual capture, and calibrating the movement position in time to prevent the occurrence of instrument operation errors.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
Referring to fig. 1-2, the invention provides a technical scheme that an automatic sample injection device for chromatograph based on vision and voice recognition comprises a main control board, wherein the main control board is connected with a PC end, a vision recognition system, a voice recognition system, a three-axis control module, an injection pump module, a switching valve module and a sample injection valve module;
The visual recognition system comprises a camera, a light source and an image processing unit, wherein the camera, the light source and the image processing unit are used for collecting images of sample bottles and recognizing the positions and the liquid levels of the sample bottles, the voice recognition system comprises a microphone and a voice recognition processing unit, the voice recognition processing unit is used for recognizing and recording sample information recorded by experimenters, the main control board is used for receiving and processing the recognition information transmitted by the visual recognition system and the voice recognition system, controlling the movement of a sample tray and a sampling needle according to the recognition information to complete automatic sample injection operation and control each module to work cooperatively, the triaxial control module is used for controlling the sampling position, driving a stepping motor or a servo motor to precisely move through the main control board to realize the positioning of the sampling position and the suction of the samples, the sample tray is used for placing the sample bottles and can rotate or translate to realize the switching of different sample bottles, the sampling needle is used for sucking samples and can move in the horizontal or vertical direction to realize the positioning, the injection pump module is used for sucking or discharging samples in the sample bottles and cleaning liquid in the sample bottles, the switching valve module is used for switching the sucking and discharging functions of the injection pump, the sampling valve module is connected between the infusion pump and the chromatographic column, and the chromatographic system;
the main control board is used for comparing the visual identification information and the voice identification information with each other and carrying out automatic sample injection through an automatic sample injection method.
In the embodiment, the input of the sample sequence is performed through voice recognition, and the set sample information is accurately compared through visual recognition information and voice input information, so that the information of all samples is accurate during the test of a large number of samples. All movement modules (including X-axis-sampling needle arm, Y-axis-sample tray seat, Z-axis-sampling needle, injection pump, switching valve and sample injection valve) of the device are controlled by the accurate movement of the stepping motor or servo motor driven by the main control board. Sample information is input and is transmitted to the main control board through voice recognition of the microphone, and the main control board transmits input information to the PC end for input. The method comprises the steps of visually identifying image information in a cavity of the automatic sample injection device in real time, comparing all input information and images of the automatic sample injection device, monitoring actions of all motion modules of the automatic sample injection device and liquid level in a sample bottle in real time, feeding monitored information back to a main control board and a PC end in real time, and comparing and checking through PC end control software to ensure that all information and motions are correct. The main control board is used for controlling the movement and monitoring the state of all modules in the device, collecting voice and visual patterns, controlling movement logic and interacting with PC end upper computer software.
The visual recognition system adopts a deep learning algorithm to perform image recognition. Visual identification starts from the step of placing the sample bottle into the sample tray, and the identification is performed in real time, so that the sample injection of the device is ensured to be correct. Sample information input by the voice terminal is compared with sample bottle positions of visual identification, so that the sample is ensured to be placed without errors, and the risks of empty bottles or misplacement are avoided. After the combination and comparison of the voice and visual recognition, the upper computer software automatically generates a sample injection sequence. The visual recognition system monitors the liquid level in the sample bottle in real time, compares the liquid level with the sample injection amount of the sample bottle in the sample injection sequence, ensures the sample injection times and the sample injection volume of the sample in the bottle which are enough to edit in the sample injection sequence, and prevents the empty needle injection phenomenon. The visual recognition system monitors the running state of the injection pump in real time, and records and feeds back in time when a large section of bubbles are inhaled or the injection pump is empty.
The visual recognition system monitors the action state of the sampling needle in real time, ensures that each sample injection is a target sample bottle, and ensures that each sample injection is inserted from the center of a sample injection spacer of the sample bottle. According to the sample injection sequence generated by voice and vision, the cleaning of the sample injection system is automatically realized according to a plurality of sample injection amounts of the sample types, and the cleaning action is within the sample injection interval time, so that the analysis time is saved. The vision recognition system monitors the residual content of the cleaning liquid of the sample injection device in real time, and gives a prompt when the content is insufficient. The visual recognition system monitors the liquid leakage condition in the sample injection device in real time, the point position of easy liquid leakage is monitored in a key way, the liquid leakage phenomenon is found out in real time by comparison, and the alarm is given out or the corresponding protection action is carried out. The voice recognition can be used for inputting sample information in batches. For example, the voice input is "left 1 to left 75 are unknown samples 1 to 75", namely 75 sample injection tasks are automatically generated in the sample injection list, and the type is "unknown sample". The visual recognition system can automatically recognize the type of the sample bottle put into the sample injection device by a user.
In some embodiments, the camera and the light source are provided with a plurality of cameras and are used for monitoring the motion states of all the motion modules in real time.
In this embodiment, the visual recognition system includes a camera (or a plurality of cameras), a light source (or a plurality of cameras) and an image processing unit, and is used for collecting images of the sample bottles, collecting information such as positions of the sample bottles, liquid levels of the sample bottles, and the like, and monitoring motion states of all the motion modules in real time. The device comprises a camera, a light source, an image processing unit, a monitoring module, a light source switch, an image processing unit and an image processing unit, wherein the camera is used for carrying out real-time monitoring on all required monitoring modules, the light source is used for internal illumination, the light source switch can be controlled, the light source brightness is adjusted according to image information collected in real time, the image processing unit is used for identifying and processing images collected by the camera, and the device is accurately controlled according to the collected image information.
In some embodiments, the sample information includes a sample name, a sample type, a real-time recording information input time, a sample amount and a sample introduction method.
In this embodiment, the voice recognition system is used for recognizing all sample information recorded by voice of the user, including sample name, sample type, real-time recording information recording time, sample amount, and sample method (including whether ring is full, sample needle cleaning mode, etc.). The recorded information is transmitted to a main control board for analysis and uploaded to PC software to compare and check the recorded information with the image information identified by the camera module.
In some embodiments, a cleaning tank is further provided for cleaning the sampling needle, automatically forming a corresponding cleaning mode according to the sample information identified by voice and vision, and executing a corresponding cleaning action.
In this embodiment, the user does not need to input different cleaning modes for different samples, so that repeated cleaning is avoided, time is wasted, and test efficiency is improved.
In some embodiments, the sampling needle is made of stainless steel material with an inert coating applied to the side of the sampling needle.
In this embodiment, the sampling needle is used to accurately aspirate the sample, and the sampling needle is movable in both the horizontal and vertical directions to achieve accurate positioning. The sampling needle adopts stainless steel plus inert coating, so as to prevent liquid drop and cross contamination to the greatest extent. The sampling needle side opening prevents the needle from being blocked.
In some embodiments, the syringe pump module includes a glass syringe and a motor lead screw drive module.
In this embodiment, the syringe pump module is used for accurately controlling the sample suction volume, and the syringe pump module is composed of a high-precision glass syringe and a motor screw driving module.
In some embodiments, the sample injection valve module is an electrically controlled high-pressure two-position six-way valve, and the sample is loaded by the accurate movement of the injection pump module when the sample injection valve module is in the sample loading position, and the loaded sample is transferred to the chromatographic system when the sample injection valve module is cut to the injection position, and enters the chromatographic column for separation and rear end detection.
In this embodiment, the loading position is the Load position, and the injection position is the Inject positions.
In some embodiments, a cleaning solution bottle for storing cleaning solution for flushing the inner and outer walls of the sampling needle and all connecting lines of the device and a waste solution bottle for storing all waste solution generated by the device are also provided.
In this embodiment, the cleaning solution bottle is used for storing the cleaning solution of automatic sampling device, and the cleaning solution is used for washing the inside and outside wall of sampling needle and all connecting lines of the device, prevents the cross contamination between different samples, realizes accurate sampling.
In some embodiments, the method for autosampling includes the steps of:
Placing the sample bottle on a sample tray, inputting the placed sample information through microphone voice, and transmitting the sample information to upper computer software after the sample bottle is identified by a main control board;
The visual recognition system monitors the inside of the device cavity in real time and transmits image information to the upper computer software;
The upper computer software compares the voice input information with the sample bottle information on the sample disk which is visually identified, and automatically generates a sample injection sequence after comparison is error-free;
after the upper computer software clicks the acquisition start button, the device starts to perform sample injection;
The main control board controls the sample tray seat to rotate or translate, and controls the sampling needle arm to accurately move, the sampling needle pierces the sample tray to absorb the sample, and meanwhile, the camera acquires the movement information of all modules and the state of the sample bottle in real time, so that accurate sample injection is realized;
after the sampling is completed, the sample injection valve module is cut to an injection position, and the loaded sample is transferred to a chromatographic system for subsequent separation and detection.
In some embodiments, the sample tray is provided with a plurality of sample trays.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.