Novel intelligent environment monitoring laboratory system

Abstract

The invention discloses a novel intelligent environment monitoring laboratory system. According to the technical scheme, the novel intelligent environment monitoring laboratory system is characterized by comprising a digital inventory management system, an intelligent cleaning system and a digital quality control system, wherein the digital inventory management system is used for managing warehouse-in and warehouse-out, and the intelligent cleaning system is used for cleaning a laboratory and based on an intelligent robot; the digital inventory management system, the intelligent cleaning system based on the intelligent robot and the digital quality control system are respectively connected with the cloud control system; by means of the intelligent cleaning system based on the intelligent robot, digital management of warehouse-in and warehouse-out can be achieved, the intelligent cleaning system based on the intelligent robot can conduct intelligent cleaning on a laboratory, the intelligent cleaning effect can be monitored in real time by being connected with a digital quality control system, and the working efficiency is improved. In addition, the cloud control system can realize intelligent remote control; by utilizing the method, intelligent management of experimenters can be realized, and integrated scientific research can be carried out on experimental data.

Description

Technical Field

[0001] The invention belongs to the technical field of laboratory systems, and in particular relates to a novel intelligent environment monitoring laboratory system. Background Art

[0002] Laboratory environment monitoring refers to a series of activities that use professional instruments and equipment to monitor and manage parameters such as temperature, humidity, cleanliness, and gas composition in the laboratory in real time. This monitoring ensures that the experimental conditions meet the requirements of specific experiments, thereby ensuring the accuracy and repeatability of the experimental results.

[0003] For example, the existing Chinese patent with publication number CN106020302A discloses a laboratory environment monitoring device, including a first infrared sensor, a second infrared sensor, a photosensor and a relay connected to the laboratory equipment power supply and the lighting power supply. The first single-chip microcomputer and the first infrared sensor and the second infrared sensor are connected to the external interrupt port of the first single-chip microcomputer in an external interrupt mode; the data collected by the temperature and humidity sensor, the pressure difference sensor and the camera are transmitted to the second single-chip microcomputer, and the second single-chip microcomputer controls the actuator through the relay. The actuator includes an exhaust cabinet installed in the laboratory and an air supply unit and an exhaust unit installed outside the laboratory.

[0004] Another example is the Chinese patent with the existing publication number CN105300448A, which discloses a laboratory environment monitoring method. A time frequency setting module, a sensor module and a wireless communication module are installed in the processor, and the time frequency setting module and the sensor module are respectively connected to the wireless communication module circuit. A temperature sensor and a humidity sensor are connected to the sensor module, and the wireless communication module is connected to the communication interface. Through the sensor module, the ambient temperature and humidity in the test room are sensed in real time, and the serial port RS485 is used to connect the sensor, and the temperature and humidity of each area in the test room are summarized. The sensor module converts and processes the temperature and humidity data, sends it in the form of a data packet, sets the data sending time and frequency, uses GPRS wireless communication technology, integrates the wireless communication module, and uploads the temperature and humidity data packets in the test room.

[0005] The above-mentioned patents and current technologies have some advantages respectively, but still have the following disadvantages, such as: being unable to perform digital inventory management and quality control for laboratories, and being inconvenient for remote control. Summary of the invention

[0006] The purpose of the present invention is to provide a novel intelligent environment monitoring laboratory system to solve the problems raised in the above background technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a new type of intelligent environment monitoring laboratory system, including a digital inventory management system for managing the entry and exit of the warehouse, an intelligent cleaning system based on intelligent robots for cleaning the laboratory, a digital quality control system, a personnel safety management system for managing the identity and scientific research working time of scientific researchers, and an environmental monitoring scientific research management system for studying the acquired laboratory environmental parameters; the digital inventory management system, the intelligent cleaning system based on intelligent robots, the digital quality control system, the personnel safety management system and the environmental monitoring scientific research management system are respectively connected to the cloud control system; the personnel safety management system collects the personal information of laboratory personnel through the laboratory face data collector, and stores the personal information of the laboratory personnel in the laboratory personnel database and transmits it to the cloud control system, and the personnel safety management system performs security identification on personnel entering and leaving the laboratory.

[0008] Among them, the safety management process of the personnel safety management system is as follows: the characteristics of personnel entering and leaving the laboratory in real time are compared with the laboratory personnel database. After abnormal personnel entering and leaving are found, the abnormal personnel entering and leaving are imported into the key observation personnel pool and the demeanor characteristics of the key observation personnel are collected and stored. The demeanor characteristics include gait, expression, movement trajectory, and stay time. The abnormal behavior recognition algorithm is used to determine the abnormality of the personnel, and the judgment results are assigned different warning levels; the personnel safety management system collects the entry and exit time of people entering and leaving the community through a timestamp recording method; the abnormal behavior recognition algorithm is: data collection: collect data that needs to be detected for anomaly; data preprocessing: clean, standardize, and normalize the data; feature selection: select features that are helpful for anomaly detection; model training: use random forest algorithms and neural network algorithms for model training; anomaly detection: apply the model to identify anomalies; result analysis: analyze the detected anomalies to determine their importance and potential causes.

[0009] Among them, the environmental monitoring and scientific research management system includes an environmental data acquisition module, a scientific research institution management module, a scientific research achievement management module, an academic activity management module, a report statistics management module and a project management module. The environmental data acquisition module, the scientific research institution management module, the scientific research achievement management module, the academic activity management module, the report statistics management module and the project management module are connected to the cloud data storage center of the cloud control system through the Internet; after the user enters the environmental monitoring and scientific research management system, the identity is verified through an identity confirmation device. After the verification is successful, the computer starts, and then the user can enter text information related to the laboratory environment scientific research project through the computer, enter image information related to the scientific research project through the image reading device, and check the text and image information related to the scientific research project through the computer, and transmit the information to the storage unit at the same time, so that other personnel can check the text and image information related to the scientific research project through the client.

[0010] Among them, the digital inventory management system includes a coding database that classifies laboratory instruments, sets individual codes, and establishes unique barcodes for identification, and an in-and-out warehouse management module for real-time and timely tracking of laboratory instruments in and out of the warehouse and the persons handling them; the digital inventory management system also includes an inventory warning module that sets a warning lower limit for different categories of instruments, issues a warning when the inventory is insufficient, and prompts the cleaning system to work or submit a purchase application; the in-and-out warehouse management module is connected to the warning module, and the in-and-out warehouse management module includes a coding scanning module, which is used to scan and identify the unique barcode issued by the coding database.

[0011] Among them, the intelligent cleaning system based on the intelligent robot includes a waste separation system, a rough cleaning system, a fine cleaning module, a robot, and a high-temperature module. The waste separation system controls the robot and the solid-liquid separation system to separate debris from the surface of the equipment, and the rough cleaning system controls the robot and the ultrasonic cleaning machine to remove obvious surface dirt; the fine cleaning module controls the robot and the ultrasonic cleaning machine to remove trace pollutants on the surface of scientific research instruments; the high-temperature module controls the robot and the high-temperature equipment to remove trace volatile substances that can be pyrolyzed from scientific research instruments; the intelligent cleaning system based on the intelligent robot is also connected to a cleanliness detection module, which is respectively connected to the waste separation system, the rough cleaning system, the fine cleaning module and the high-temperature module, and the cleanliness detection module is connected to a cleanliness alarm module.

[0012] Among them, the digital quality control system includes a random quality verification module and a quality verification record module; the random quality verification module automatically generates the instrument number that needs to undergo laboratory background verification, and assigns experimental tasks to relevant monitoring personnel; the quality verification record module directly generates instrument quality control records through experimental feedback; the quality verification module and the verification record module are respectively connected to the verification management module, and the verification management module is used to record the quality verification module and the verification record module.

[0013] Among them, the cloud control system is connected to a laboratory parameter monitoring system, and the laboratory parameter monitoring system includes an oxygen monitoring module, a temperature monitoring module, a humidity monitoring module, a TVOC monitoring module, a smoke monitoring module and a door magnetic sensor module. The oxygen monitoring module, the temperature monitoring module, the humidity monitoring module, the TVOC monitoring module, the smoke monitoring module and the door magnetic sensor module are electrically connected to the control input end of the PLC controller respectively, and the control output end of the PLC controller is connected to an alarm threshold adjustment module, and the alarm threshold adjustment module is used to input the alarm threshold, and the alarm threshold adjustment module is connected to a parameter alarm module; the digital inventory management system, the intelligent cleaning system based on intelligent robots and the digital quality control system are connected to the cloud control system through the intelligent gateway and the wireless communication module respectively, and the cloud control system is connected to the communication terminal through the 4G / WIFI module.

[0014] Among them, the cloud control system is connected to an automatic emergency response system, which includes a fire monitoring module, a chemical leakage monitoring module, an emergency protocol management module, a gas valve closing module and a power cut-off module. The fire monitoring module and the chemical leakage monitoring module are respectively used to monitor whether a fire and a chemical leakage occur. The gas valve closing module and the power cut-off module compare the monitoring results of the fire monitoring module and the chemical leakage monitoring module with the protocol of the emergency protocol management module to determine whether the set threshold is exceeded to close the gas valve and cut off the power.

[0015] The cloud control system includes a cloud storage server and a cloud sharing server. The cloud storage server includes a data encryption module and a data decryption module. The cloud sharing server includes an identity authentication management module and a permission management module.

[0016] Among them, the cloud control system is connected to a laboratory waste gas emission intelligent monitoring subsystem, and the laboratory waste gas emission intelligent monitoring subsystem includes a control module, the control module is electrically connected to a voltage regulating module, the voltage regulating module is electrically connected to an anti-surge module, the anti-surge module is electrically connected to a power supply module, the control module is electrically connected to a first information module, the first information module is electrically connected to a communication module, the control module is electrically connected to a second information module, the second information module is electrically connected to a detection module, the detection module is electrically connected to a negative feedback regulation module, the negative feedback regulation module is electrically connected to the control module, the control module is electrically connected to a drive module, and the drive module is electrically connected to a purification module; the anti-surge module is used to effectively prevent the voltage peak from damaging the circuit by impact of the power transmitted by the power supply module, and the anti-surge module uses an inductor, a resistor and a capacitor to cache the voltage peak to prevent the impact of the voltage peak from causing damage to the subsequent electronic equipment in the circuit by the voltage impact; the voltage regulating module is used to control and regulate the voltage transmitted by the power supply module , so that the voltage can be stably supplied to the control module at a low voltage for operation and use, the voltage regulating module includes a step-down circuit, a rectifier circuit, a filter circuit, a voltage stabilizing circuit, a current and voltage detection circuit and a feedback circuit, the step-down circuit is electrically connected to the surge protection module, the step-down circuit is electrically connected to the rectifier circuit, the voltage stabilizing circuit and the filter circuit in sequence, the filter circuit is electrically connected to the control module, the current and voltage detection circuit is electrically connected to the voltage stabilizing circuit, the current and voltage detection circuit is electrically connected to the feedback circuit, the feedback circuit is electrically connected to the control module, the step-down circuit is used to reduce the high voltage to a low voltage, the rectifier circuit is used to convert the AC voltage into a DC voltage, the voltage stabilizing circuit is used to stabilize the voltage and adjust the voltage, the filter circuit is used to filter out the AC voltage in the DC voltage, the current and voltage detection circuit is used to detect the adjusted voltage and current, the feedback circuit is used to transmit the detected voltage and current to the control module, and the control module then realizes the reverse control voltage and current adjustment through the feedback circuit.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The present invention can be used to realize digital management of in and out of the warehouse, and the intelligent cleaning system based on the intelligent robot of the present invention can perform intelligent cleaning of the laboratory, and then by connecting with the digital quality control system, the effect of intelligent cleaning can be monitored in real time. In addition, the cloud control system can realize intelligent remote control. The present invention can improve laboratory safety, data accuracy, and operating efficiency by integrating information technology and automation technology, and promote scientific research cooperation and data sharing. The present invention can also realize environmental control and automatic data recording to ensure data accuracy, resource optimization management, remote operation to improve efficiency, and data cloud storage and real-time collaboration to promote cooperation. The present invention not only realizes highly automated and intelligent functions, but also improves the safety and data accuracy of the laboratory, improves work efficiency and scientific research quality; in addition, the present method can realize intelligent management of experimental personnel, and can integrate experimental data for scientific research. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 One of the system block diagrams of the present invention;

[0020] Figure 2 This is the second system block diagram of the present invention;

[0021] Figure 3 This is the third system block diagram of the present invention;

[0022] Figure 4 This is the fourth system block diagram of the present invention;

[0023] Figure 5 Flowchart of the method for personnel safety management system. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Example 1

[0026] See also Figures 1 to 5The present invention provides a technical solution: a new intelligent environment monitoring laboratory system, including a digital inventory management system for managing the entry and exit of the warehouse, an intelligent cleaning system based on intelligent robots for cleaning the laboratory, a digital quality control system, a personnel safety management system for managing the identity of scientific researchers and scientific research working time, and an environmental monitoring scientific research management system for studying the acquired laboratory environmental parameters; the digital inventory management system, the intelligent cleaning system based on intelligent robots, the digital quality control system, the personnel safety management system and the environmental monitoring scientific research management system are respectively connected to the cloud control system; the personnel safety management system collects the personal information of laboratory personnel through a laboratory face data collector, stores the personal information of the laboratory personnel in a laboratory personnel database and transmits it to the cloud control system, and the personnel safety management system performs security identification on personnel entering and leaving the laboratory.

[0027] See also Figures 1 to 5 , this new intelligent environment monitoring laboratory system can realize digital management of in and out storage, and the intelligent cleaning system based on intelligent robots of the present invention can perform intelligent cleaning of the laboratory, and then by connecting with the digital quality control system, the effect of intelligent cleaning can be monitored in real time. In addition, the cloud control system can realize intelligent remote control. The present invention can improve laboratory safety, data accuracy, and operating efficiency by integrating information technology and automation technology, and promote scientific research cooperation and data sharing. The present invention can also realize environmental control and automatic data recording to ensure data accuracy, optimize resource management, remote operation to improve efficiency, and promote cooperation through data cloud storage and real-time collaboration. The present invention not only realizes highly automated and intelligent functions, but also improves laboratory safety and data accuracy, and improves work efficiency and scientific research quality.

[0028] See also Figures 1 to 5 Among them, the safety management process of the personnel safety management system is as follows: the characteristics of personnel entering and leaving the laboratory in real time are compared with the laboratory personnel database. After abnormal personnel entering and leaving are found, the abnormal personnel entering and leaving are imported into the key observation personnel pool and the demeanor characteristics of the key observation personnel are collected and stored. The demeanor characteristics include gait, expression, movement trajectory, and stay time. The abnormal behavior recognition algorithm is used to identify the abnormality of the personnel, and the judgment results are assigned different warning levels; the personnel safety management system collects the entry and exit time of people entering and leaving the community through the timestamp recording method; the abnormal behavior recognition algorithm is: data collection: collect data that needs to be detected for anomaly; data preprocessing: clean, standardize, and normalize the data; feature selection: select features that are helpful for anomaly detection; model training: use random forest algorithms and neural network algorithms for model training; anomaly detection: apply the model to identify anomalies; result analysis: analyze the detected anomalies to determine their importance and potential causes.

[0029] See also Figures 1 to 5 In order to monitor whether the operation of personnel during the experiment is standardized, the operation monitoring algorithm used is mainly based on the target detection algorithm, especially the single-stage target detection algorithm such as YOLOv5, which is used to monitor and analyze the operation behavior of on-site personnel in real time. The target detection algorithm can be divided into two categories: Two-Stage and One-Stage. Two-Stage algorithms, such as Faster R-CNN, are mainly divided into two parts: first, candidate boxes are generated through a special module, and then the foreground is found and the bounding box is adjusted. The advantage of this type of algorithm is high detection accuracy. One-Stage algorithms, represented by SSD and YOLO, directly classify and adjust the bounding box based on the anchor, which can monitor the operation behavior of personnel in real time, identify non-compliant operations and issue alarm signals to remind relevant personnel.

[0030] See also Figures 1 to 5 , wherein the environmental monitoring scientific research management system includes an environmental data acquisition module, a scientific research institution management module, a scientific research achievement management module, an academic activity management module, a report statistics management module and a project management module, and the environmental data acquisition module, the scientific research institution management module, the scientific research achievement management module, the academic activity management module, the report statistics management module and the project management module are connected to the cloud data storage center of the cloud control system through the Internet; after the user enters the environmental monitoring scientific research management system, the identity is verified through the identity confirmation device, and the computer is started after the verification is successful, and then the user can enter the text information related to the laboratory environment scientific research project through the computer, enter the image information related to the scientific research project through the image reading device, and check the text and image information related to the scientific research project through the computer, and transmit the information to the storage unit at the same time, so that other personnel can check the text and image information related to the scientific research project through the client.

[0031] See also Figures 1 to 5 The digital inventory management system includes a coding database that classifies laboratory instruments, sets individual codes, and establishes unique barcodes for identification, and an in-and-out management module for real-time tracking of laboratory instruments in and out of the warehouse and the persons handling them; the digital inventory management system also includes an inventory warning module that issues a warning when the inventory is insufficient by setting the lower limit of the warning for different categories of instruments and prompts the cleaning system to work or submit a purchase application; the in-and-out management module is connected to the warning module, and the in-and-out management module includes a coding scanning module, which is used to scan and identify the unique barcode issued by the coding database. The digital inventory management system can effectively realize the management, classification, and coding of laboratory instruments.

[0032] See also Figures 1 to 5, where the intelligent cleaning system based on intelligent robots includes a waste separation system, a rough cleaning system, a fine cleaning module, a robot, and a high-temperature module. The waste separation system controls the robot and the solid-liquid separation system to separate debris from the surface of the equipment, and the rough cleaning system controls the robot and the ultrasonic cleaning machine to remove obvious dirt on the surface; the fine cleaning module controls the robot and the ultrasonic cleaning machine to remove trace pollutants on the surface of scientific research instruments and equipment; the high-temperature module controls the robot and the high-temperature equipment to remove trace substances that can be pyrolyzed and volatile in scientific research instruments and equipment; the intelligent cleaning system based on intelligent robots is also connected to a cleanliness detection module, which is respectively connected to the waste separation system, the rough cleaning system, the fine cleaning module and the high-temperature module, and the cleanliness detection module is connected to a cleanliness alarm module. The waste separation system, the rough cleaning system, and the fine cleaning module can achieve good cleaning of laboratory instruments and equipment, and the cleanliness detection module can detect the cleanliness, and the cleanliness alarm module can be used to alarm when the cleanliness does not meet the standard.

[0033] See also Figures 1 to 5 Among them, the digital quality control system includes a random quality verification module and a quality verification record module; the random quality verification module automatically generates the instrument number that needs to be verified by the laboratory background, and assigns experimental tasks to relevant monitoring personnel; the quality verification record module directly generates instrument quality control records through experimental feedback; the quality verification module and the verification record module are respectively connected to the verification management module, and the verification management module is used to record the quality verification module and the verification record module.

[0034] See also Figures 1 to 5 Among them, the cloud control system is connected to the laboratory parameter monitoring system, and the laboratory parameter monitoring system includes an oxygen monitoring module, a temperature monitoring module, a humidity monitoring module, a TVOC monitoring module, a smoke monitoring module and a door magnetic sensor module. The oxygen monitoring module, the temperature monitoring module, the humidity monitoring module, the TVOC monitoring module, the smoke monitoring module and the door magnetic sensor module are electrically connected to the control input end of the PLC controller respectively, and the control output end of the PLC controller is connected to the alarm threshold adjustment module. The alarm threshold adjustment module is used to input the alarm threshold, and the alarm threshold adjustment module is connected to the parameter alarm module; the digital inventory management system, the intelligent cleaning system based on the intelligent robot and the digital quality control system are connected to the cloud control system through the intelligent gateway and the wireless communication module respectively, and the cloud control system is connected to the communication terminal through the 4G / WIFI module.

[0035] See also Figures 1 to 5The cloud control system is connected to an automatic emergency response system, which includes a fire monitoring module, a chemical leakage monitoring module, an emergency protocol management module, a gas valve closing module and a power cut-off module. The fire monitoring module and the chemical leakage monitoring module are used to monitor whether a fire and a chemical leakage occur respectively. The gas valve closing module and the power cut-off module compare the monitoring results of the fire monitoring module and the chemical leakage monitoring module with the protocol of the emergency protocol management module to determine whether the set threshold is exceeded to close the gas valve and cut off the power. The cloud control system includes a cloud storage server and a cloud sharing server. The cloud storage server includes a data encryption module and a data decryption module. The cloud sharing server includes an identity authentication management module and a permission management module.

[0036] See also Figures 1 to 5 , wherein, the cloud control system is connected to a laboratory waste gas emission intelligent monitoring subsystem, and the laboratory waste gas emission intelligent monitoring subsystem includes a control module, the control module is electrically connected to a voltage regulating module, the voltage regulating module is electrically connected to an anti-surge module, the anti-surge module is electrically connected to a power supply module, the control module is electrically connected to a first information module, the first information module is electrically connected to a communication module, the control module is electrically connected to a second information module, the second information module is electrically connected to a detection module, the detection module is electrically connected to a negative feedback regulation module, the negative feedback regulation module is electrically connected to the control module, the control module is electrically connected to a drive module, and the drive module is electrically connected to a purification module; the anti-surge module is used to effectively prevent the voltage peak from damaging the circuit by impact on the power transmitted by the power supply module, and the anti-surge module uses an inductor, a resistor and a capacitor to cache the voltage peak to prevent the impact of the voltage peak from causing damage to the subsequent electronic equipment in the circuit by the voltage impact; the voltage regulating module is used to transmit the power to the power supply module. The voltage is controlled and adjusted so that the voltage can be stably supplied to the control module at a low voltage for operation and use. The voltage regulating module includes a step-down circuit, a rectifier circuit, a filter circuit, a voltage stabilizing circuit, a current and voltage detection circuit and a feedback circuit. The step-down circuit is electrically connected to the surge protection module. The step-down circuit is electrically connected to the rectifier circuit, the voltage stabilizing circuit and the filter circuit in sequence. The filter circuit is electrically connected to the control module. The current and voltage detection circuit is electrically connected to the voltage stabilizing circuit. The current and voltage detection circuit is electrically connected to the feedback circuit. The feedback circuit is electrically connected to the control module. The step-down circuit is used to reduce the high voltage to a low voltage. The rectifier circuit is used to convert the AC voltage into a DC voltage. The voltage stabilizing circuit is used to stabilize the voltage and adjust the voltage. The filter circuit is used to filter out the AC voltage in the DC voltage. The current and voltage detection circuit is used to detect the regulated voltage and current. The feedback circuit is used to transmit the detected voltage and current to the control module. The control module then controls the voltage and current through the feedback circuit.

[0037] See also Figures 1 to 5 The laboratory waste gas emission intelligent monitoring subsystem can effectively detect the gas in the laboratory through a number of monitoring sensors, can effectively detect the gas composition in the environment, and can effectively control and adjust the monitoring module through the negative feedback regulation module, which is convenient for control, and can effectively purify the detected gas composition and then discharge it. When the laboratory waste gas emission intelligent monitoring subsystem is in use, the control module is effectively and stably powered by the surge protection module and the voltage regulation module, which can realize stable power supply to the system, and can upload data information through the communication module, and can remotely control the operation instructions.

[0038] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A new intelligent environmental monitoring laboratory system, characterized by: It includes a digital inventory management system for managing the entry and exit of the warehouse, an intelligent cleaning system based on intelligent robots for cleaning the laboratory, a digital quality control system, a personnel safety management system for managing the identity of scientific researchers and scientific research working hours, and an environmental monitoring scientific research management system for studying the acquired laboratory environmental parameters; the digital inventory management system, the intelligent cleaning system based on intelligent robots, the digital quality control system, the personnel safety management system and the environmental monitoring scientific research management system are respectively connected to the cloud control system; the personnel safety management system collects the personal information of laboratory personnel through the laboratory face data collector, and stores the personal information of the laboratory personnel in the laboratory personnel database and transmits it to the cloud control system, and the personnel safety management system performs security identification on personnel entering and leaving the laboratory.

2. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The safety management process of the personnel safety management system is as follows: the characteristics of the personnel entering and leaving the laboratory in real time are compared with the laboratory personnel database. After the abnormal personnel entering and leaving are found, the abnormal personnel entering and leaving are imported into the key observation personnel pool and the demeanor characteristics of the key observation personnel are collected and stored. The demeanor characteristics include gait, expression, movement trajectory, and stay time. The abnormal behavior recognition algorithm is used to identify the abnormality of the personnel, and the identification results are assigned different warning levels; the personnel safety management system collects the entry and exit time of the personnel entering and leaving the community through the timestamp recording method; the abnormal behavior recognition algorithm is as follows: data collection: collect the data required for abnormal detection; data preprocessing: clean, standardize and normalize the data; Feature selection: Select features that are helpful for anomaly detection; Model training: Use random forest algorithms and neural network algorithms to train models; Anomaly detection: Apply models to identify anomalies; Result analysis: Analyze detected anomalies to determine their importance and potential causes.

3. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The environmental monitoring and scientific research management system includes an environmental data acquisition module, a scientific research institution management module, a scientific research achievement management module, an academic activity management module, a report statistics management module and a project management module. The environmental data acquisition module, the scientific research institution management module, the scientific research achievement management module, the academic activity management module, the report statistics management module and the project management module are connected to the cloud data storage center of the cloud control system through the Internet; after the user enters the environmental monitoring and scientific research management system, the identity is verified through an identity confirmation device, and the computer is started after the verification is successful. Then the user can enter text information related to the laboratory environment scientific research project through the computer, enter image information related to the scientific research project through the image reading device, and check the text and image information related to the scientific research project through the computer, and transmit the information to the storage unit at the same time, so that other personnel can check the text and image information related to the scientific research project through the client.

4. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The digital inventory management system includes a coding database for classifying laboratory instruments and setting individual codes and establishing unique barcodes for identification, and an in-and-out management module for real-time and timely tracking of laboratory instruments in and out of the warehouse and the persons handling them; The digital inventory management system also includes an inventory warning module that issues an early warning when inventory is insufficient by setting early warning lower limit quantities for different categories of appliances and prompts the cleaning system to work or submit a purchase application; The in-and-out warehouse management module is connected to the early warning module, and the in-and-out warehouse management module includes a coding scanning module, and the coding scanning module is used to scan and identify the unique barcode issued by the coding database.

5. The novel intelligent environment monitoring laboratory system according to claim 1 is characterized in that: The intelligent cleaning system based on the intelligent robot includes a waste separation system, a rough cleaning system, a fine cleaning module, a robot, and a high-temperature module. The waste separation system controls the robot and the solid-liquid separation system to separate debris from the surface of the equipment, and the rough cleaning system controls the robot and the ultrasonic cleaning machine to remove obvious dirt on the surface; the fine cleaning module controls the robot and the ultrasonic cleaning machine to remove trace pollutants on the surface of scientific research instruments; the high-temperature module controls the robot and the high-temperature equipment to remove trace volatile substances that can be pyrolyzed from scientific research instruments; the intelligent cleaning system based on the intelligent robot is also connected to a cleanliness detection module, which is respectively connected to the waste separation system, the rough cleaning system, the fine cleaning module and the high-temperature module, and the cleanliness detection module is connected to a cleanliness alarm module.

6. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The digital quality control system includes a random quality verification module and a quality verification record module; the random quality verification module automatically generates the instrument number that requires laboratory background verification and assigns experimental tasks to relevant monitoring personnel; the quality verification record module directly generates instrument quality control records through experimental feedback; the quality verification module and the verification record module are respectively connected to the verification management module, and the verification management module is used to record the quality verification module and the verification record module.

7. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The cloud control system is connected to a laboratory parameter monitoring system, which includes an oxygen monitoring module, a temperature monitoring module, a humidity monitoring module, a TVOC monitoring module, a smoke monitoring module and a door magnetic sensor module. The oxygen monitoring module, the temperature monitoring module, the humidity monitoring module, the TVOC monitoring module, the smoke monitoring module and the door magnetic sensor module are electrically connected to the control input end of the PLC controller, respectively; the control output end of the PLC controller is connected to an alarm threshold adjustment module, the alarm threshold adjustment module is used to input an alarm threshold, and the alarm threshold adjustment module is connected to a parameter alarm module; the digital inventory management system, the intelligent cleaning system based on intelligent robots and the digital quality control system are connected to the cloud control system through an intelligent gateway and a wireless communication module, respectively, and the cloud control system is connected to a communication terminal through a 4G / WIFI module.

8. The novel intelligent environment monitoring laboratory system according to claim 1 is characterized by: The cloud control system is connected to an automatic emergency response system, which includes a fire monitoring module, a chemical leakage monitoring module, an emergency protocol management module, a gas valve closing module and a power cut-off module. The fire monitoring module and the chemical leakage monitoring module are respectively used to monitor whether a fire and a chemical leakage occur. The gas valve closing module and the power cut-off module compare the monitoring results of the fire monitoring module and the chemical leakage monitoring module with the protocols of the emergency protocol management module to determine whether the set threshold is exceeded to close the gas valve and cut off the power.

9. The novel intelligent environment monitoring laboratory system according to claim 1 is characterized by: The cloud control system includes a cloud storage server and a cloud sharing server. The cloud storage server includes a data encryption module and a data decryption module. The cloud sharing server includes an identity authentication management module and a permission management module.

10. A novel intelligent environment monitoring laboratory system according to claim 1, characterized in that: The cloud control system is connected to a laboratory waste gas emission intelligent monitoring subsystem, and the laboratory waste gas emission intelligent monitoring subsystem includes a control module, the control module is electrically connected to a voltage regulating module, the voltage regulating module is electrically connected to an anti-surge module, the anti-surge module is electrically connected to a power supply module, the control module is electrically connected to a first information module, the first information module is electrically connected to a communication module, the control module is electrically connected to a second information module, the second information module is electrically connected to a detection module, the detection module is electrically connected to a negative feedback regulation module, the negative feedback regulation module is electrically connected to the control module, the control module is electrically connected to a drive module, and the drive module is electrically connected to a purification module; the anti-surge module is used to effectively prevent the voltage peak from damaging the circuit by impact on the amount of electricity transmitted by the power supply module, and the anti-surge module uses an inductor, a resistor and a capacitor to cache the voltage peak to prevent the impact of the voltage peak from causing damage to the subsequent electronic equipment in the circuit by the voltage impact; the voltage regulating module is used to control and regulate the voltage transmitted by the power supply module, The voltage can be stably supplied to the control module at a low voltage for operation. The voltage regulating module includes a step-down circuit, a rectifier circuit, a filter circuit, a voltage stabilizing circuit, a current and voltage detection circuit and a feedback circuit. The step-down circuit is electrically connected to the surge protection module. The step-down circuit is electrically connected to the rectifier circuit, the voltage stabilizing circuit and the filter circuit in sequence. The filter circuit is electrically connected to the control module. The current and voltage detection circuit is electrically connected to the voltage stabilizing circuit. The current and voltage detection circuit is electrically connected to the feedback circuit. The feedback circuit is electrically connected to the control module. The step-down circuit is used to reduce the high voltage to a low voltage. The rectifier circuit is used to convert the AC voltage into a DC voltage. The voltage stabilizing circuit is used to stabilize the voltage and adjust the voltage. The filter circuit is used to filter out the AC voltage in the DC voltage. The current and voltage detection circuit is used to detect the adjusted voltage and current. The feedback circuit is used to transmit the detected voltage and current to the control module. The control module then adjusts the reverse control voltage and current through the feedback circuit.

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