Multi-sensor fusion laboratory safety alarm method and system

Abstract

The invention relates to the technical field of sensors, in particular to a multi-sensor fusion laboratory safety alarm method and system, and the method comprises the steps: setting a sensor unit, collecting space humidity, space temperature and gas concentration, building a data prediction model, carrying out the data processing to obtain corrected humidity, corrected temperature and corrected concentration, and calculating the sensing delay. If the sensing delay is greater than a delay threshold value, switching the sensing unit, carrying out delay adjustment and switching the sensing unit again, and if the sensing delay is not greater than the delay threshold value, designing a scheduling cooperation plan, operating the sensor unit, predicting to obtain predicted humidity, predicted temperature and predicted concentration, and defining a humidity grade, a temperature grade and a concentration grade; and designing an anomaly detection rule, performing level judgment to obtain a parameter level, performing evaluation based on the parameter level and the anomaly detection rule to obtain an evaluation level, and triggering an alarm system by using the evaluation level. According to the invention, the reliability and accuracy of safety early warning can be improved.

Description

Technical Field

[0001] The present invention relates to the field of sensor technology, and in particular to a multi-sensor fusion laboratory safety alarm method and system. Background Art

[0002] With the continuous advancement of sensor technology, multi-sensor fusion monitoring technology has been widely used in industrial production, smart cities, laboratory safety and other fields. The sensor unit can collect environmental parameters such as humidity, temperature, and gas concentration in real time to provide basic data for environmental monitoring.

[0003] Traditional laboratory safety alarm systems usually rely on a single sensor to detect key parameters, which makes it difficult to deal with sensor delays, sensor failures, or data anomalies. In addition, when faced with complex environmental changes, they lack the ability to predict environmental parameters and early warning mechanisms for potential anomalies, which can easily lead to delayed responses to dangerous situations, and in serious cases may cause safety accidents. Building a system that can comprehensively collect, calibrate, and predict environmental parameters and implement safety alarms based on regularized levels is of great significance for improving the performance and stability of laboratory safety alarm systems. Therefore, how to improve the reliability and accuracy of safety alarms is a difficult problem that needs to be solved in the current technological development. Summary of the invention

[0004] The present invention provides a multi-sensor fusion laboratory safety alarm method and system, the main purpose of which is to improve the reliability and accuracy of safety warning.

[0005] To achieve the above object, the present invention provides a multi-sensor fusion laboratory safety alarm method, comprising:

[0006] A sensor unit is provided, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit;

[0007] The humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit are used to collect space humidity, space temperature and gas concentration;

[0008] Constructing a data prediction model, performing data processing on the space humidity, space temperature and gas concentration, and obtaining a corrected humidity, a corrected temperature and a corrected concentration;

[0009] Calculate the sensing delay and determine whether the sensing delay is greater than a preset delay threshold;

[0010] If the sensing delay is greater than the delay threshold, switch to the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit, adjust the delay of the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and switch the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit to the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and return to the above step of calculating the sensing delay;

[0011] If the sensing delay is not greater than the preset delay threshold, a scheduling coordination plan is designed and the sensor unit is operated using the coordination scheduling plan;

[0012] Perform prediction based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration;

[0013] Define humidity levels, temperature levels and concentration levels, and design anomaly detection rules based on humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration;

[0014] Using the humidity level, temperature level and concentration level, the predicted humidity, predicted temperature and predicted concentration are graded to obtain a parameter level;

[0015] An evaluation is performed based on the parameter level and the anomaly detection rule to obtain an evaluation level, and the evaluation level is used to trigger a pre-built alarm system to complete a security alarm.

[0016] Optionally, the collecting of space humidity, space temperature and gas concentration by using the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit includes:

[0017] Detecting the central position, installing the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit at the central position and obtaining the ambient temperature;

[0018] Utilizing the temperature main sensing unit to detect the sensing temperature, comparing the ambient temperature with the sensing temperature to obtain a comparative temperature difference;

[0019] Determining whether the compared temperature difference is less than a preset temperature difference threshold;

[0020] If the comparison temperature difference is not less than the temperature difference threshold, a linear correction is performed on the temperature main sensing unit to obtain a corrected temperature main unit, the corrected temperature main unit is used to update the temperature main sensing unit and the process returns to the above step of detecting the sensing temperature using the temperature main sensing unit;

[0021] If the compared temperature difference is less than the temperature difference threshold, confirming that the temperature main sensing unit is a calibrated temperature unit;

[0022] Using a preset sodium chloride solution to create a humidity environment, placing the humidity main sensing unit in the humidity environment and recording the sensing humidity data;

[0023] Acquire ambient humidity data of the humidity environment, compare the sensed humidity data with the ambient humidity data to obtain a humidity error, calibrate the humidity main sensing unit based on the humidity error, obtain a calibrated humidity unit and set a gas calibration environment;

[0024] The gas main sensing unit is calibrated based on the gas calibration environment to obtain a calibrated gas unit and the calibrated temperature unit, calibrated humidity unit and calibrated gas unit are used to collect space humidity, space temperature and gas concentration.

[0025] Optionally, the constructing of the data prediction model includes:

[0026] Constructing a state matrix and an input matrix, and constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration;

[0027] Obtain input noise, input vector and state time, and use the state matrix, input matrix, state vector, input noise, input vector and state time to build a data prediction model:

[0028] E α+1 =Q×E α +W×R α +ω α

[0029] Among them, E α+1 refers to the state vector when the state time is α+1, Q refers to the state matrix, E α refers to the state vector when the state time is α, W refers to the input matrix, R α refers to the input vector when the state time is α, ω α Refers to the input noise when the state time is α.

[0030] Optionally, the constructing state matrix includes:

[0031] Obtaining the temperature-to-humidity coefficient of the corrected temperature to the corrected humidity, the temperature-to-gas coefficient of the corrected temperature to the corrected concentration, the humidity-to-temperature coefficient of the corrected humidity to the corrected temperature, the humidity-to-gas coefficient of the corrected humidity to the corrected concentration, the gas-to-temperature coefficient of the corrected concentration to the corrected temperature, and the gas-to-humidity coefficient of the corrected concentration to the corrected humidity;

[0032] A state matrix is ​​constructed based on the temperature to humidity coefficient, the temperature to gas coefficient, the humidity to temperature coefficient, the humidity to gas coefficient, the gas to temperature coefficient and the gas to humidity coefficient:

[0033]

[0034] Among them, Q refers to the state matrix, Q 11 Refers to the corrected temperature, Q 12 Refers to the temperature to humidity coefficient, Q 13 Refers to the temperature-gas coefficient, Q 21 Refers to the humidity-temperature coefficient, Q 22 Refers to corrected humidity, Q 23 Refers to the humidity to gas coefficient, Q 31 Refers to the temperature coefficient of gas, Q 32 Refers to the gas humidity coefficient, Q 33 Refers to the calibration concentration.

[0035] Optionally, constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration includes:

[0036] The state vector is constructed using the corrected humidity, corrected temperature and corrected concentration:

[0037]

[0038] Where Q′ refers to the state vector.

[0039] Optionally, the design scheduling collaborative plan includes:

[0040] Obtaining a humidity sampling frequency, a temperature sampling frequency, and a gas sampling frequency, dividing humidity collection points, temperature collection points, and gas collection points based on the humidity sampling frequency, the temperature sampling frequency, and the gas sampling frequency, and calculating humidity change values, temperature change values, and concentration change values ​​using the humidity collection points, the temperature collection points, and the gas collection points;

[0041] Determining whether the concentration change value is less than a preset concentration change threshold;

[0042] If the concentration change value is less than the concentration change threshold, the gas sampling frequency is reduced to obtain the gas reduction frequency, and the humidity sampling frequency and the temperature sampling frequency are increased to obtain the humidity increase frequency and the temperature increase frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas reduction frequency, the humidity increase frequency and the temperature increase frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step;

[0043] If the concentration change value is not less than the concentration change threshold, the gas sampling frequency is increased to obtain the gas increase frequency, and the humidity sampling frequency and the temperature sampling frequency are reduced to obtain the humidity reduction frequency and the temperature reduction frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas increase frequency, the humidity reduction frequency and the temperature reduction frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step;

[0044] A scheduling coordination plan is set based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency.

[0045] Optionally, the definition of humidity level, temperature level and concentration level includes:

[0046] The humidity levels are as follows:

[0047] Dry humidity: [0%, 30%], normal humidity: [31%, 60%], wet humidity: [61%, 100%];

[0048] The temperature ratings are as follows:

[0049] Low temperature: (-∞, 15°C], normal temperature: [16°C, 30°C], high temperature: [31°C, +∞);

[0050] Concentration levels are defined according to the ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration.

[0051] Optionally, the defining concentration levels according to the ammonia concentration, the carbon dioxide concentration, the methane concentration, the oxygen concentration and the volatile organic compound concentration includes:

[0052] The concentration levels of ammonia gas concentration are as follows:

[0053] Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: 27ppm, +∞);

[0054] The concentration levels of carbon dioxide are as follows:

[0055] Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: 27ppm, +∞);

[0056] The concentration levels of methane concentration are as follows:

[0057] Normal concentration: [0%, 1.00%], medium concentration: [1.01%, 5.00%], dangerous concentration: 5.01%, +∞);

[0058] The concentration levels of oxygen concentration are as follows:

[0059] Normal concentration: [0.00%, 18.50%], medium concentration: [18.60%, 21.50%], dangerous concentration: 21.60%, +∞);

[0060] The concentration levels of VOC concentrations are as follows:

[0061] Normal concentration: [0.00ppm, 0.30ppm], medium concentration: [0.31ppm, 1.00ppm], dangerous concentration: [1.01ppm, +∞).

[0062] Optionally, the designing of anomaly detection rules according to humidity level, temperature level and concentration level includes:

[0063] Construct danger levels, including safety level, warning level and emergency level;

[0064] Construct anomaly detection rules based on the risk level:

[0065] A1: The humidity level is normal humidity and the temperature level is normal temperature. The concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, and the hazard level is confirmed to be safe.

[0066] A2: The humidity level is not normal humidity and the temperature level is normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be a warning level.

[0067] A3: The humidity level is normal humidity and the temperature level is not normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be warning level.

[0068] A5: If the humidity level is not normal and the temperature level is not normal, and the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, then the danger level is confirmed to be a warning level;

[0069] A5: If the humidity level is normal humidity and the temperature level is not normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level;

[0070] A6: If the humidity level is not normal humidity and the temperature level is normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level;

[0071] A7: If the humidity level is not the normal humidity and the temperature level is not the normal temperature, the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be an emergency level.

[0072] To achieve the above object, the present invention also provides a multi-sensor fusion laboratory safety alarm system, comprising:

[0073] A space parameter acquisition module is used to set a sensor unit, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit; the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit are used to collect space humidity, space temperature and gas concentration;

[0074] The sensor delay judgment module is used to build a data prediction model, perform data processing on the space humidity, space temperature and gas concentration, and obtain the corrected humidity, corrected temperature and corrected concentration; calculate the sensor delay, and determine whether the sensor delay is greater than a preset delay threshold; if the sensor delay is greater than the delay threshold, switch to the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit, adjust the delay of the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and switch the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit to the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and return to the above step of calculating the sensor delay; if the sensor delay is not greater than the preset delay threshold, design a scheduling coordination plan, and use the coordinated scheduling plan to run the sensor unit

[0075] A prediction model prediction module, used to make predictions based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration;

[0076] A parameter level determination module is used to define humidity levels, temperature levels and concentration levels, and to design anomaly detection rules according to the humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration; the predicted humidity, predicted temperature and predicted concentration are determined by using the humidity levels, temperature levels and concentration levels to obtain parameter levels; an evaluation is performed based on the parameter levels and anomaly detection rules to obtain an evaluation level, and a pre-built alarm system is triggered by the evaluation level to complete a safety alarm.

[0077] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0078] A memory storing at least one instruction;

[0079] The processor executes the instructions stored in the memory to implement the multi-sensor fusion laboratory safety alarm method described above.

[0080] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the multi-sensor fusion laboratory safety alarm method described above.

[0081] The present invention solves the problems described in the background technology. By collecting spatial humidity, temperature and gas concentration data, a comprehensive monitoring process of multiple steps such as data correction, delay judgment, switching of main and auxiliary sensor units, coordinated scheduling, prediction analysis and anomaly detection is constructed to achieve efficient monitoring and safety warning of the laboratory environment. It not only ensures the real-time response and dynamic adjustment of the sensor unit in a complex environment, but also improves the accuracy and reliability of data processing through precise data prediction and correction technology. In addition, by triggering warnings based on parameter levels and anomaly detection rules, the present invention can accurately generate safety alarms according to the dynamic changes of environmental parameters, significantly improves the safety warning capability of the monitoring system, and meets the high requirements for reliability and accuracy in laboratory environment monitoring. First, through the design of the main sensor unit and the auxiliary sensor unit, multiple backup collection of key environmental parameters: spatial humidity, spatial temperature and gas concentration is achieved, which ensures the continuity and reliability of the data collection process and provides a stable data source for subsequent data processing and correction. Secondly, a data prediction model is constructed, and spatial humidity, spatial temperature and gas concentration are processed and corrected. Positive, effectively eliminate noise and outliers, ensure the accuracy and credibility of environmental data, and provide reliable input for anomaly detection rules; then, use the delay judgment mechanism to dynamically monitor the performance of the sensor unit to ensure that when the main sensor unit exceeds the delay threshold, it can quickly switch to the auxiliary sensor unit, improve the robustness and fault tolerance of the system, and avoid delays affecting the timely processing of data; further, through a reasonable scheduling plan, coordinate the operation of multiple sensor units, optimize resource allocation, improve the adaptability of the system in a complex environment, and ensure the efficiency and consistency of data acquisition and processing; then, use the correction humidity, temperature and concentration to predict, discover possible abnormal changes in advance, provide early warning information for anomaly detection, and significantly enhance the foresight and initiative of the monitoring system; finally, define the parameter level, design anomaly detection rules and trigger the alarm system based on the parameter level and anomaly detection rules, complete the safety alarm, and realize the refined management and hierarchical judgment of environmental parameters by predicting the level of humidity, temperature and concentration, combined with specific anomaly detection rules, and provide a clear judgment basis for alarm triggering. Therefore, the present invention can improve the reliability and accuracy of safety warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 A schematic diagram of a flow chart of a multi-sensor fusion laboratory safety alarm method provided by an embodiment of the present invention;

[0083] Figure 2 A functional module diagram of a multi-sensor fusion laboratory safety alarm system provided by an embodiment of the present invention;

[0084] Figure 3A schematic diagram of the structure of an electronic device for implementing the multi-sensor fusion laboratory safety alarm method provided by an embodiment of the present invention.

[0085] Description of reference numerals:

[0086] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0087] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0088] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0089] The embodiment of the present application provides a multi-sensor fusion laboratory safety alarm method. The execution subject of the multi-sensor fusion laboratory safety alarm method includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the multi-sensor fusion laboratory safety alarm method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0090] Reference Figure 1 FIG. 1 is a flow chart of a multi-sensor fusion laboratory safety alarm method provided by an embodiment of the present invention. In this embodiment, the multi-sensor fusion laboratory safety alarm method includes:

[0091] S1. Set up sensor units, wherein the sensor units include: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit.

[0092] It can be explained that the sensor unit refers to a unit installed in the laboratory, which senses the space temperature, space humidity and gas concentration in the laboratory. The space temperature refers to the real-time temperature in the laboratory, the space humidity refers to the real-time humidity in the laboratory, and the gas concentration refers to the concentration of the gas in the laboratory. The sensor unit includes a humidity main sensing unit, a humidity auxiliary sensing unit, a temperature main sensing unit, a temperature auxiliary sensing unit, a gas main sensing unit and a gas auxiliary sensing unit. The humidity main sensing unit refers to a unit that senses the humidity in the laboratory. In the absence of accidents, it is responsible for all humidity sensing tasks. An accident refers to excessive sensing delay. Sensing delay refers to the time interval between the humidity main sensing unit, the humidity auxiliary sensing unit, the temperature main sensing unit, the temperature auxiliary sensing unit, the gas main sensing unit and the gas auxiliary sensing unit receiving the physical signal and outputting the data. The sensing delay reflects the response speed of the sensor unit to the physical signal, and is an important factor affecting the laboratory safety alarm. The physical signal refers to the space temperature, space humidity and gas concentration The humidity auxiliary sensing unit refers to a spare unit for sensing the humidity in the laboratory. When the sensing delay of the humidity main sensing unit is too large, it will switch to the humidity auxiliary sensing unit, and use the humidity auxiliary sensing unit to sense the humidity in the laboratory. The temperature main sensing unit refers to a unit for sensing the temperature in the laboratory. In the absence of accidents, it takes on all temperature sensing tasks. The temperature auxiliary sensing unit refers to a spare unit for sensing the humidity in the laboratory. When the sensing delay of the temperature main sensing unit is too large, it will switch to the temperature auxiliary sensing unit, and use the temperature auxiliary sensing unit to sense the temperature in the laboratory. The gas main sensing unit refers to a unit for sensing the gas concentration in the laboratory. In the absence of accidents, it takes on all gas concentration sensing tasks. The gas auxiliary sensing unit refers to a spare unit for sensing the gas concentration in the laboratory. When the sensing delay of the gas main sensing unit is too large, it will switch to the gas auxiliary sensing unit, and use the gas auxiliary sensing unit to sense the gas concentration in the laboratory.

[0093] It can be understood that the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit so that when the sensing delay is too large, the humidity main sensor unit can be switched to the humidity auxiliary sensor unit, the temperature main sensor unit can be switched to the temperature auxiliary sensor unit, and the gas main sensor unit can be switched to the gas auxiliary sensor unit. In addition, the data of the humidity auxiliary sensor unit and the humidity main sensor unit, the temperature auxiliary sensor unit and the temperature main sensor unit, and the gas auxiliary sensor unit and the gas main sensor unit are connected. When the humidity main sensor unit, the humidity auxiliary sensor unit, and the temperature main sensor unit collect data, the collected data will be backed up and the backed-up data will be transmitted to the corresponding auxiliary sensor unit. Similarly, when the temperature auxiliary sensor unit, the gas main sensor unit, and the gas auxiliary sensor unit collect data, the collected data will be backed up and the backed-up data will be transmitted to the corresponding main sensor unit.

[0094] S2. Collect space humidity, space temperature and gas concentration using the humidity main sensing unit, temperature main sensing unit and gas main sensing unit.

[0095] It can be understood that the humidity main sensing unit is the DHT22 humidity sensor, the temperature main sensing unit is the TMP36 temperature sensor, and the gas main sensing unit is the CCS811 gas sensor;

[0096] In detail, the use of the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit to collect space humidity, space temperature and gas concentration includes:

[0097] Detecting the central position, installing the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit at the central position and obtaining the ambient temperature;

[0098] Utilizing the temperature main sensing unit to detect the sensing temperature, comparing the ambient temperature with the sensing temperature to obtain a comparative temperature difference;

[0099] Determining whether the compared temperature difference is less than a preset temperature difference threshold;

[0100] If the comparison temperature difference is not less than the temperature difference threshold, a linear correction is performed on the temperature main sensing unit to obtain a corrected temperature main unit, the corrected temperature main unit is used to update the temperature main sensing unit and the process returns to the above step of detecting the sensing temperature using the temperature main sensing unit;

[0101] If the compared temperature difference is less than the temperature difference threshold, confirming that the temperature main sensing unit is a calibrated temperature unit;

[0102] Using a preset sodium chloride solution to create a humidity environment, placing the humidity main sensing unit in the humidity environment and recording the sensing humidity data;

[0103] Acquire ambient humidity data of the humidity environment, compare the sensed humidity data with the ambient humidity data to obtain a humidity error, calibrate the humidity main sensing unit based on the humidity error, obtain a calibrated humidity unit and set a gas calibration environment;

[0104] The gas main sensing unit is calibrated based on the gas calibration environment to obtain a calibrated gas unit and the calibrated temperature unit, calibrated humidity unit and calibrated gas unit are used to collect space humidity, space temperature and gas concentration.

[0105] Explainable, the central position refers to the center of the laboratory ceiling, the ambient temperature refers to the temperature in the laboratory, the sensed temperature refers to the temperature in the laboratory detected by the temperature main sensor unit, the contrast temperature difference refers to the difference between the ambient temperature and the sensed temperature, and the temperature main sensor unit is adjusted according to this difference, the temperature difference threshold refers to a value for adjusting the temperature main sensor unit, when the contrast temperature difference is greater than the temperature difference threshold, it means that the temperature main sensor unit needs to be adjusted, when the contrast temperature is not greater than the temperature difference threshold, it means that the temperature main sensor unit does not need to be adjusted, linear correction of the temperature main sensor unit refers to adding a compensation value to the temperature main sensor unit, after obtaining the sensed temperature using the temperature main sensor unit, the compensation value should be added to the sensed temperature to obtain the compensated temperature, for example, the sensed temperature is 35°C, the compensation value is -2°C, then the compensated temperature after linear compensation is 33°C, the corrected temperature main unit refers to the temperature main sensor unit that has been linearly corrected, calibrated The temperature unit refers to a temperature main sensing unit whose comparison temperature difference is less than the temperature difference threshold and does not need to be calibrated. Creating a humidity environment using a preset sodium chloride solution refers to setting up a closed container, obtaining a beaker, adding the pre-prepared sodium chloride solution into the beaker, and placing the beaker in the closed container to complete the creation of the humidity environment. The closed container is a glass closed jar. The humidity environment refers to the environment in which the humidity main sensing unit is calibrated. The sensor humidity data refers to the humidity obtained after humidity detection using the humidity main sensing unit. The ambient humidity data refers to the humidity of the humidity environment. The humidity error refers to the difference between the ambient humidity data and the sensor humidity data. The calibrated humidity unit refers to the unit obtained after calibrating the humidity main sensing unit. The gas calibration environment refers to the environment in which the gas main sensing unit is calibrated. The gas calibration environment includes carbon dioxide, ammonia, methane, oxygen and volatile organic compounds. The calibrated gas unit refers to the gas main sensing unit that has been calibrated.

[0106] S3. Construct a data prediction model, perform data processing on the space humidity, space temperature and gas concentration, and obtain corrected humidity, corrected temperature and corrected concentration.

[0107] Explainably, the data prediction model refers to a model for predicting space humidity, space temperature and gas concentration, data processing of the space humidity, space temperature and gas concentration refers to first removing high-frequency noise and outliers from the space humidity, space temperature and gas concentration, the corrected humidity refers to the humidity obtained after data processing of the space humidity, the corrected temperature refers to the temperature obtained after data processing of the space temperature, and the corrected concentration refers to the concentration obtained after data processing of the gas concentration.

[0108] In detail, the building of the data prediction model includes:

[0109] Constructing a state matrix and an input matrix, and constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration;

[0110] Obtain input noise, input vector and state time, and use the state matrix, input matrix, state vector, input noise, input vector and state time to build a data prediction model:

[0111] E α+1 =Q×E α +W×R α +ω α

[0112] Among them, E α+1 refers to the state vector when the state time is α+1, Q refers to the state matrix, E α refers to the state vector when the state time is α, W refers to the input matrix, R α refers to the input vector when the state time is α, ω α Refers to the input noise when the state time is α.

[0113] Interpretable, the state matrix refers to the matrix that describes the change of the state vector from state time α to state time α+1, the state vector refers to the vector that describes the corrected humidity, corrected temperature and corrected concentration, the input matrix refers to the matrix that describes the influence of external factors on the state vector, the external factors refer to wind speed and experimental operation status, the input noise refers to zero-mean Gaussian white noise, the input vector refers to the vector that describes the wind speed and experimental operation status, and the state time refers to the time in the laboratory, for example, α is 10:00 and α+1 is 10:10.

[0114] In detail, the construction state matrix includes:

[0115] Obtaining the temperature-to-humidity coefficient of the corrected temperature to the corrected humidity, the temperature-to-gas coefficient of the corrected temperature to the corrected concentration, the humidity-to-temperature coefficient of the corrected humidity to the corrected temperature, the humidity-to-gas coefficient of the corrected humidity to the corrected concentration, the gas-to-temperature coefficient of the corrected concentration to the corrected temperature, and the gas-to-humidity coefficient of the corrected concentration to the corrected humidity;

[0116] A state matrix is ​​constructed based on the temperature to humidity coefficient, the temperature to gas coefficient, the humidity to temperature coefficient, the humidity to gas coefficient, the gas to temperature coefficient and the gas to humidity coefficient:

[0117]

[0118] Among them, Q refers to the state matrix, Q 11 Refers to the corrected temperature, Q 12 Refers to the temperature to humidity coefficient, Q 13 Refers to the temperature-gas coefficient, Q 21 Refers to the humidity-temperature coefficient, Q 22 Refers to corrected humidity, Q 23 Refers to the humidity to gas coefficient, Q 31 Refers to the temperature coefficient of gas, Q 32 Refers to the gas humidity coefficient, Q 33 Refers to the calibration concentration.

[0119] It can be explained that the temperature to humidity coefficient refers to the influence coefficient of the corrected temperature on the corrected humidity. For example, a temperature to humidity coefficient of 0.01 means that the corrected humidity will change by 0.01% for every 1°C change in the corrected temperature. The temperature to gas coefficient refers to the influence coefficient of the corrected temperature on the corrected concentration. For example, a temperature to gas coefficient of 0.00 means that the corrected temperature has no direct influence on the corrected concentration. The humidity to temperature coefficient refers to the influence coefficient of the corrected humidity on the corrected temperature. The humidity to gas coefficient refers to the influence coefficient of the corrected humidity on the corrected concentration. For example, a humidity to gas coefficient of 0.02 means that the corrected concentration will change by 0.02ppm for every 1% change in the corrected humidity. The gas to temperature coefficient refers to the influence coefficient of the corrected concentration on the corrected temperature. The gas to humidity coefficient refers to the influence coefficient of the corrected concentration on the corrected humidity.

[0120] In detail, constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration includes:

[0121] The state vector is constructed using the corrected humidity, corrected temperature and corrected concentration:

[0122]

[0123] Where Q′ refers to the state vector.

[0124] S4. Calculate the sensing delay and determine whether the sensing delay is greater than a preset delay threshold.

[0125] It can be explained that the delay threshold refers to a preset value of the maximum sensing delay that does not affect the laboratory safety alarm.

[0126] If the sensing delay is greater than the delay threshold, execute S5, switch to the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit, perform delay adjustment on the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and switch the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit to the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and return to the above step of calculating the sensing delay.

[0127] If the sensing delay is not greater than the preset delay threshold, S6 is executed to design a coordinated scheduling plan, and the sensor unit is operated using the coordinated scheduling plan.

[0128] It can be explained that the coordinated scheduling plan refers to a plan for setting the sampling frequency of the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and the sampling frequency refers to the frequency at which the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit perform sampling.

[0129] In detail, the design scheduling collaborative plan includes:

[0130] Obtaining a humidity sampling frequency, a temperature sampling frequency, and a gas sampling frequency, dividing humidity collection points, temperature collection points, and gas collection points based on the humidity sampling frequency, the temperature sampling frequency, and the gas sampling frequency, and calculating humidity change values, temperature change values, and concentration change values ​​using the humidity collection points, the temperature collection points, and the gas collection points;

[0131] Determining whether the concentration change value is less than a preset concentration change threshold;

[0132] If the concentration change value is less than the concentration change threshold, the gas sampling frequency is reduced to obtain the gas reduction frequency, and the humidity sampling frequency and the temperature sampling frequency are increased to obtain the humidity increase frequency and the temperature increase frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas reduction frequency, the humidity increase frequency and the temperature increase frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step;

[0133] If the concentration change value is not less than the concentration change threshold, the gas sampling frequency is increased to obtain the gas increase frequency, and the humidity sampling frequency and the temperature sampling frequency are reduced to obtain the humidity reduction frequency and the temperature reduction frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas increase frequency, the humidity reduction frequency and the temperature reduction frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step;

[0134] A scheduling coordination plan is set based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency.

[0135] It can be explained that the humidity sampling frequency refers to the sampling frequency of the humidity main sensor unit, the temperature sampling frequency refers to the sampling frequency of the temperature main sensor unit, and the gas sampling frequency refers to the sampling frequency of the gas main sensor unit. The humidity collection point refers to the time point of the collection space humidity obtained according to the humidity sampling frequency, the temperature collection point refers to the time point of the collection space temperature obtained according to the temperature sampling frequency, and the gas collection point refers to the time point of the collection gas concentration obtained according to the gas sampling frequency. The humidity change value refers to the difference between the space humidity of the previous humidity collection point calculated according to the humidity sampling frequency and the current collection space humidity. The previous humidity collection point is the previous time point relative to the current time. For example, the humidity collection point The sampling frequency is once per second, and the current time is 8:00am, then the previous humidity collection point is 7:59:59am. The temperature change value refers to the difference between the space temperature of the previous temperature collection point calculated according to the temperature sampling frequency and the currently collected space temperature. The concentration change value refers to the difference between the gas concentration of the previous gas collection point calculated according to the gas sampling frequency and the currently collected gas concentration. The previous temperature collection point and the previous gas collection point are consistent with the explanation of the previous humidity collection point mentioned above. The concentration change threshold refers to a value that describes the change in gas concentration. When the change in gas concentration exceeds the concentration change threshold, it means that the change in gas concentration exceeds expectations and it is necessary to pay special attention to the change in gas concentration.

[0136] It can be understood that the gas reduction frequency refers to the frequency after the gas sampling frequency is reduced, the humidity increase frequency refers to the frequency after the humidity sampling frequency is increased, the temperature increase frequency refers to the frequency after the temperature sampling frequency is increased, the gas increase frequency refers to the frequency after the gas sampling frequency is increased, the humidity reduction frequency refers to the frequency after the humidity sampling frequency is reduced, and the temperature reduction frequency refers to the frequency after the temperature sampling frequency is reduced.

[0137] S7. Predicting based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration.

[0138] Interpretable, predicted humidity refers to the humidity in the laboratory predicted by the data prediction model, predicted temperature refers to the temperature in the laboratory predicted by the data prediction model, and predicted concentration refers to the gas concentration in the laboratory predicted by the data prediction model.

[0139] S8. Define humidity levels, temperature levels and concentration levels, and design anomaly detection rules based on the humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration.

[0140] Explainable, humidity level refers to the humidity level in the laboratory, humidity levels are divided into dry humidity, normal humidity and humid humidity, dry humidity refers to the humidity range of 0% to 30%, normal humidity refers to the humidity range of 31% to 60%, humid humidity refers to the humidity range of 61% to 100%, temperature level refers to the temperature level in the laboratory, temperature levels are divided into low temperature, normal temperature and high temperature, low temperature refers to the temperature less than or equal to 15℃, normal temperature refers to the temperature between 16℃ and 30℃, high temperature refers to the temperature greater than or equal to 31℃, concentration level refers to the concentration level of various gases in the laboratory, concentration levels are divided into ordinary concentration, medium concentration and dangerous concentration ,Ordinary concentration refers to normal or low concentration levels, which have little or no effect on the human body, medium concentration refers to medium concentration levels, long-term exposure will cause harm to the human body, dangerous concentration refers to dangerous concentration levels, which will cause serious harm to the human body, abnormal detection rules refer to rules designed based on humidity levels, temperature levels, and concentration levels, which are used to judge abnormal conditions in the laboratory, for example, the methane concentration is too high, the ammonia concentration refers to the concentration of ammonia in the laboratory, the carbon dioxide concentration refers to the concentration of carbon dioxide in the laboratory, the methane concentration refers to the concentration of methane in the laboratory, the oxygen concentration refers to the concentration of oxygen in the laboratory, and the volatile organic compound concentration refers to the concentration of volatile organic compounds in the laboratory.

[0141] In detail, the definition of humidity level, temperature level and concentration level includes:

[0142] The humidity levels are as follows:

[0143] Dry humidity: [0%, 30%], normal humidity: [31%, 60%], wet humidity: [61%, 100%];

[0144] The temperature ratings are as follows:

[0145] Low temperature: (-∞, 15°C], normal temperature: [16°C, 30°C], high temperature: [31°C, +∞);

[0146] Concentration levels are defined according to the ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration.

[0147] In detail, the concentration levels are defined according to the ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration, including:

[0148] The concentration levels of ammonia gas concentration are as follows:

[0149] Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: 27ppm, +∞);

[0150] The concentration levels of carbon dioxide are as follows:

[0151] Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: 27ppm, +∞);

[0152] The concentration levels of methane concentration are as follows:

[0153] Normal concentration: [0%, 1.00%], medium concentration: [1.01%, 5.00%], dangerous concentration: 5.01%, +∞);

[0154] The concentration levels of oxygen concentration are as follows:

[0155] Normal concentration: [0.00%, 18.50%], medium concentration: [18.60%, 21.50%], dangerous concentration: 21.60%, +∞);

[0156] The concentration levels of VOC concentrations are as follows:

[0157] Normal concentration: [0.00ppm, 0.30ppm], medium concentration: [0.31ppm, 1.00ppm], dangerous concentration: [1.01ppm, +∞).

[0158] In detail, the anomaly detection rules are designed according to the humidity level, temperature level and concentration level, including:

[0159] Construct danger levels, including safety level, warning level and emergency level;

[0160] Construct anomaly detection rules based on the risk level:

[0161] A1: The humidity level is normal humidity and the temperature level is normal temperature. The concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, and the hazard level is confirmed to be safe.

[0162] A2: The humidity level is not normal humidity and the temperature level is normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be a warning level.

[0163] A3: The humidity level is normal humidity and the temperature level is not normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be warning level.

[0164] A5: If the humidity level is not normal and the temperature level is not normal, and the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, then the danger level is confirmed to be a warning level;

[0165] A5: If the humidity level is normal humidity and the temperature level is not normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level;

[0166] A6: If the humidity level is not normal humidity and the temperature level is normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level;

[0167] A7: If the humidity level is not the normal humidity and the temperature level is not the normal temperature, the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be an emergency level.

[0168] It can be explained that the hazard level refers to the level obtained after a comprehensive assessment of the temperature, humidity and gas concentration in the laboratory. This level represents the conditions in the laboratory. The higher the hazard level, the more dangerous the conditions in the laboratory. The safety level means that the conditions in the laboratory are stable and no danger will occur. The warning level means that there are dangerous factors in the laboratory, such as excessive concentration of volatile organic compounds, which may cause dangerous situations. The emergency level means that there are too many dangerous factors in the laboratory, which can easily cause dangerous situations.

[0169] S9. Using the humidity level, temperature level and concentration level, the predicted humidity, predicted temperature and predicted concentration are graded to obtain a parameter level.

[0170] It can be explained that using the humidity level, temperature level and concentration level to make a level determination on the predicted humidity, predicted temperature and predicted concentration means substituting the predicted humidity, predicted temperature and predicted concentration into the humidity level, temperature level and concentration level to obtain the parameter level. The parameter level refers to the temperature level of the predicted temperature, the humidity level of the predicted humidity and the concentration level of the predicted concentration obtained by substituting the predicted humidity, predicted temperature and predicted concentration into the humidity level, temperature level and concentration level. For example, the predicted humidity is 33%, and the normal humidity refers to the range of 31% to 60%, then the humidity level of the predicted humidity is the normal humidity.

[0171] S10, performing an assessment based on the parameter level and the anomaly detection rule to obtain an assessment level, and using the assessment level to trigger a pre-built alarm system to complete a security alarm.

[0172] It can be explained that evaluation based on the parameter level and anomaly detection rule refers to substituting the parameter level into the anomaly detection rule to obtain the evaluation level, the evaluation level refers to the danger level of the parameter level obtained after evaluating the parameter level according to anomaly detection, the alarm system refers to a system for danger warning according to the danger level, the system includes an alarm light and a data panel, the alarm light refers to a lamp that flashes according to the danger level, the alarm light has three modes: solid green, flashing green and solid red. Solid green means that the alarm light keeps green light continuously, flashing green means that the alarm light flashes alternately with green light, and solid red means that the alarm light keeps red light continuously. The data panel refers to a screen that displays predicted humidity, predicted temperature and predicted concentration. The alarm system sets three alarm modes based on the danger level, namely, safety alarm of safety level, warning alarm of warning level and danger alarm of danger level. When at the safety level, the alarm light executes the solid green mode according to the safety alarm, when at the warning level, the alarm light executes the flashing green mode according to the warning alarm, and when at the danger level, the alarm light executes the solid red mode according to the danger alarm.

[0173] The present invention solves the problems described in the background technology. By collecting spatial humidity, temperature and gas concentration data, a comprehensive monitoring process of multiple steps such as data correction, delay judgment, switching of main and auxiliary sensor units, coordinated scheduling, prediction analysis and anomaly detection is constructed to achieve efficient monitoring and safety warning of the laboratory environment. It not only ensures the real-time response and dynamic adjustment of the sensor unit in a complex environment, but also improves the accuracy and reliability of data processing through precise data prediction and correction technology. In addition, by triggering warnings based on parameter levels and anomaly detection rules, the present invention can accurately generate safety alarms according to the dynamic changes of environmental parameters, significantly improves the safety warning capability of the monitoring system, and meets the high requirements for reliability and accuracy in laboratory environment monitoring. First, through the design of the main sensor unit and the auxiliary sensor unit, multiple backup collection of key environmental parameters: spatial humidity, spatial temperature and gas concentration is achieved, which ensures the continuity and reliability of the data collection process and provides a stable data source for subsequent data processing and correction. Secondly, a data prediction model is constructed, and spatial humidity, spatial temperature and gas concentration are processed and corrected. Positive, effectively eliminate noise and outliers, ensure the accuracy and credibility of environmental data, and provide reliable input for anomaly detection rules; then, use the delay judgment mechanism to dynamically monitor the performance of the sensor unit to ensure that when the main sensor unit exceeds the delay threshold, it can quickly switch to the auxiliary sensor unit, improve the robustness and fault tolerance of the system, and avoid delays affecting the timely processing of data; further, through a reasonable scheduling plan, coordinate the operation of multiple sensor units, optimize resource allocation, improve the adaptability of the system in a complex environment, and ensure the efficiency and consistency of data acquisition and processing; then, use the correction humidity, temperature and concentration to predict, discover possible abnormal changes in advance, provide early warning information for anomaly detection, and significantly enhance the foresight and initiative of the monitoring system; finally, define the parameter level, design anomaly detection rules and trigger the alarm system based on the parameter level and anomaly detection rules, complete the safety alarm, and realize the refined management and hierarchical judgment of environmental parameters by predicting the level of humidity, temperature and concentration, combined with specific anomaly detection rules, and provide a clear judgment basis for alarm triggering. Therefore, the present invention can improve the reliability and accuracy of safety warnings.

[0174] like Figure 2 , which is a functional module diagram of a multi-sensor fusion laboratory safety alarm system provided by an embodiment of the present invention.

[0175] The multi-sensor fusion laboratory safety alarm system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the multi-sensor fusion laboratory safety alarm system 100 can include a spatial parameter acquisition module 101, a sensor delay judgment module 102, a prediction model prediction module 103 and a parameter level judgment module 104. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0176] The spatial parameter acquisition module 101 is used to set a sensor unit, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit; the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit are used to collect space humidity, space temperature and gas concentration;

[0177] The sensor delay judgment module 102 is used to construct a data prediction model, perform data processing on the space humidity, space temperature and gas concentration, and obtain the corrected humidity, corrected temperature and corrected concentration; calculate the sensor delay, and determine whether the sensor delay is greater than a preset delay threshold; if the sensor delay is greater than the delay threshold, switch to the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit, adjust the delay of the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and switch the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit to the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and return to the above step of calculating the sensor delay; if the sensor delay is not greater than the preset delay threshold, design a scheduling coordination plan, and use the coordinated scheduling plan to operate the sensor unit;

[0178] The prediction model prediction module 103 is used to make predictions based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration;

[0179] The parameter level determination module 104 is used to define humidity level, temperature level and concentration level, and design abnormality detection rules according to the humidity level, temperature level and concentration level, wherein the humidity level includes: dry humidity, normal humidity and humid humidity, the temperature level includes: low temperature, normal temperature and high temperature, the concentration level includes: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentration includes: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration; the predicted humidity, predicted temperature and predicted concentration are determined by using the humidity level, temperature level and concentration level to obtain the parameter level; an evaluation is performed based on the parameter level and the abnormality detection rule to obtain the evaluation level, and the pre-built alarm system is triggered by the evaluation level to complete the safety alarm.

[0180] In detail, each module in the multi-sensor fusion laboratory safety alarm system 100 in the embodiment of the present invention adopts the same Figure 1 The multi-sensor fusion laboratory safety alarm method described in the invention has the same technical means and can produce the same technical effects, so it will not be repeated here.

[0181] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a multi-sensor fusion laboratory safety alarm method provided by an embodiment of the present invention.

[0182] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a multi-sensor fusion laboratory safety alarm method program.

[0183] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 can be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 can also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the multi-sensor fusion laboratory safety alarm method program, but also can be used to temporarily store data that has been output or is to be output.

[0184] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as multi-sensor fusion laboratory safety alarm method programs, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0185] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0186] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0187] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0188] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0189] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0190] The multi-sensor fusion laboratory safety alarm method program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0191] A sensor unit is provided, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit;

[0192] The humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit are used to collect space humidity, space temperature and gas concentration;

[0193] Constructing a data prediction model, performing data processing on the space humidity, space temperature and gas concentration, and obtaining a corrected humidity, a corrected temperature and a corrected concentration;

[0194] Calculate the sensing delay and determine whether the sensing delay is greater than a preset delay threshold;

[0195] If the sensing delay is greater than the delay threshold, switch to the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit, adjust the delay of the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and switch the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit to the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and return to the above step of calculating the sensing delay;

[0196] If the sensing delay is not greater than the preset delay threshold, a scheduling coordination plan is designed and the sensor unit is operated using the coordination scheduling plan;

[0197] Perform prediction based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration;

[0198] Define humidity levels, temperature levels and concentration levels, and design anomaly detection rules based on humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration;

[0199] Using the humidity level, temperature level and concentration level, the predicted humidity, predicted temperature and predicted concentration are graded to obtain a parameter level;

[0200] An evaluation is performed based on the parameter level and the anomaly detection rule to obtain an evaluation level, and the evaluation level is used to trigger a pre-built alarm system to complete a security alarm.

[0201] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0202] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0203] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0204] A sensor unit is provided, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit;

[0205] The humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit are used to collect space humidity, space temperature and gas concentration;

[0206] Constructing a data prediction model, performing data processing on the space humidity, space temperature and gas concentration, and obtaining a corrected humidity, a corrected temperature and a corrected concentration;

[0207] Calculate the sensing delay and determine whether the sensing delay is greater than a preset delay threshold;

[0208] If the sensing delay is greater than the delay threshold, switch to the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit, adjust the delay of the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and switch the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit to the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and return to the above step of calculating the sensing delay;

[0209] If the sensing delay is not greater than the preset delay threshold, a scheduling coordination plan is designed and the sensor unit is operated using the coordination scheduling plan;

[0210] Perform prediction based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration;

[0211] Define humidity levels, temperature levels and concentration levels, and design anomaly detection rules based on humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration;

[0212] Using the humidity level, temperature level and concentration level, the predicted humidity, predicted temperature and predicted concentration are graded to obtain a parameter level;

[0213] An evaluation is performed based on the parameter level and the anomaly detection rule to obtain an evaluation level, and the evaluation level is used to trigger a pre-built alarm system to complete a security alarm.

[0214] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0215] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0216] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0217] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0218] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A multi-sensor fusion laboratory safety alarm method, characterized in that: The method comprises: A sensor unit is provided, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit; The humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit are used to collect space humidity, space temperature and gas concentration; Constructing a data prediction model, performing data processing on the space humidity, space temperature and gas concentration, and obtaining a corrected humidity, a corrected temperature and a corrected concentration; Calculate the sensing delay and determine whether the sensing delay is greater than a preset delay threshold; If the sensing delay is greater than the delay threshold, switch to the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit, adjust the delay of the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and switch the humidity auxiliary sensing unit, the temperature auxiliary sensing unit and the gas auxiliary sensing unit to the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit, and return to the above step of calculating the sensing delay; If the sensing delay is not greater than the preset delay threshold, a scheduling coordination plan is designed and the sensor unit is operated using the coordination scheduling plan; Perform prediction based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration; Define humidity levels, temperature levels and concentration levels, and design anomaly detection rules based on humidity levels, temperature levels and concentration levels, wherein the humidity levels include: dry humidity, normal humidity and humid humidity, the temperature levels include: low temperature, normal temperature and high temperature, the concentration levels include: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentrations include: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration; Using the humidity level, temperature level and concentration level, the predicted humidity, predicted temperature and predicted concentration are graded to obtain a parameter level; An evaluation is performed based on the parameter level and the anomaly detection rule to obtain an evaluation level, and the evaluation level is used to trigger a pre-built alarm system to complete a security alarm.

2. The multi-sensor fusion laboratory safety alarm method according to claim 1, characterized in that: The method of collecting space humidity, space temperature and gas concentration by using the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit includes: Detecting the central position, installing the humidity main sensing unit, the temperature main sensing unit and the gas main sensing unit at the central position and obtaining the ambient temperature; Utilizing the temperature main sensing unit to detect the sensing temperature, comparing the ambient temperature with the sensing temperature to obtain a comparative temperature difference; Determining whether the compared temperature difference is less than a preset temperature difference threshold; If the comparison temperature difference is not less than the temperature difference threshold, a linear correction is performed on the temperature main sensing unit to obtain a corrected temperature main unit, the corrected temperature main unit is used to update the temperature main sensing unit and the process returns to the above step of detecting the sensing temperature using the temperature main sensing unit; If the compared temperature difference is less than the temperature difference threshold, confirming that the temperature main sensing unit is a calibrated temperature unit; Using a preset sodium chloride solution to create a humidity environment, placing the humidity main sensing unit in the humidity environment and recording the sensing humidity data; Acquire ambient humidity data of the humidity environment, compare the sensed humidity data with the ambient humidity data to obtain a humidity error, calibrate the humidity main sensing unit based on the humidity error, obtain a calibrated humidity unit and set a gas calibration environment; The gas main sensing unit is calibrated based on the gas calibration environment to obtain a calibrated gas unit and the calibrated temperature unit, calibrated humidity unit and calibrated gas unit are used to collect space humidity, space temperature and gas concentration.

3. The multi-sensor fusion laboratory safety alarm method according to claim 2, characterized in that: The constructing of the data prediction model comprises: Constructing a state matrix and an input matrix, and constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration; Obtain input noise, input vector and state time, and use the state matrix, input matrix, state vector, input noise, input vector and state time to build a data prediction model: E α+1 =Q×E α +W×R α +oh α Among them, E α+1 refers to the state vector when the state time is α+1, Q refers to the state matrix, E α refers to the state vector when the state time is α, W refers to the input matrix, R α refers to the input vector when the state time is α, ω α Refers to the input noise when the state time is α.

4. The multi-sensor fusion laboratory safety alarm method according to claim 3, characterized in that: The construction state matrix comprises: Obtaining the temperature-to-humidity coefficient of the corrected temperature to the corrected humidity, the temperature-to-gas coefficient of the corrected temperature to the corrected concentration, the humidity-to-temperature coefficient of the corrected humidity to the corrected temperature, the humidity-to-gas coefficient of the corrected humidity to the corrected concentration, the gas-to-temperature coefficient of the corrected concentration to the corrected temperature, and the gas-to-humidity coefficient of the corrected concentration to the corrected humidity; A state matrix is ​​constructed based on the temperature to humidity coefficient, the temperature to gas coefficient, the humidity to temperature coefficient, the humidity to gas coefficient, the gas to temperature coefficient and the gas to humidity coefficient: Among them, Q refers to the state matrix, Q 11 Refers to the corrected temperature, Q 12 Refers to the temperature to humidity coefficient, Q 13 Refers to the temperature-gas coefficient, Q 21 Refers to the humidity-temperature coefficient, Q 22 Refers to corrected humidity, Q 23 Refers to the humidity to gas coefficient, Q 31 Refers to the temperature coefficient of gas, Q 32 Refers to the gas humidity coefficient, Q 33 Refers to the calibration concentration.

5. The multi-sensor fusion laboratory safety alarm method according to claim 4, characterized in that: The constructing a state vector based on the corrected humidity, corrected temperature and corrected concentration includes: The state vector is constructed using the corrected humidity, corrected temperature and corrected concentration: Where Q′ refers to the state vector.

6. The multi-sensor fusion laboratory safety alarm method according to claim 5, characterized in that: The design and scheduling collaborative plan includes: Obtaining a humidity sampling frequency, a temperature sampling frequency, and a gas sampling frequency, dividing humidity collection points, temperature collection points, and gas collection points based on the humidity sampling frequency, the temperature sampling frequency, and the gas sampling frequency, and calculating humidity change values, temperature change values, and concentration change values ​​using the humidity collection points, the temperature collection points, and the gas collection points; Determining whether the concentration change value is less than a preset concentration change threshold; If the concentration change value is less than the concentration change threshold, the gas sampling frequency is reduced to obtain the gas reduction frequency, and the humidity sampling frequency and the temperature sampling frequency are increased to obtain the humidity increase frequency and the temperature increase frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas reduction frequency, the humidity increase frequency and the temperature increase frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step; If the concentration change value is not less than the concentration change threshold, the gas sampling frequency is increased to obtain the gas increase frequency, and the humidity sampling frequency and the temperature sampling frequency are reduced to obtain the humidity reduction frequency and the temperature reduction frequency. The humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency are updated using the gas increase frequency, the humidity reduction frequency and the temperature reduction frequency, and the step of calculating the humidity change value, the temperature change value and the concentration change value based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency is returned to the above step; A scheduling coordination plan is set based on the humidity sampling frequency, the temperature sampling frequency and the gas sampling frequency.

7. The multi-sensor fusion laboratory safety alarm method according to claim 6, characterized in that: The defined humidity level, temperature level and concentration level include: The humidity levels are as follows: Dry humidity: [0%, 30%], normal humidity: [31%, 60%], wet humidity: [61%, 100%]; The temperature ratings are as follows: Low temperature: (-∞, 15°C], normal temperature: [16°C, 30°C], high temperature: [31°C, +∞); Concentration levels are defined according to the ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration.

8. The multi-sensor fusion laboratory safety alarm method according to claim 7, characterized in that: Defining concentration levels according to the ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration includes: The concentration levels of ammonia gas concentration are as follows: Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: 27ppm, +∞); The concentration levels of carbon dioxide are as follows: Normal concentration: [0ppm, 10ppm], medium concentration: [11ppm, 26ppm], dangerous concentration: [27ppm, +∞); The concentration levels of methane concentration are as follows: Normal concentration: [0%, 1.00%], medium concentration: [1.01%, 5.00%], dangerous concentration: [5.01%, +∞); The concentration levels of oxygen concentration are as follows: Normal concentration: [0.00%, 18.50%], medium concentration: [18.60%, 21.50%], dangerous concentration: [21.60%, +∞); The concentration levels of VOC concentrations are as follows: Normal concentration: [0.00ppm, 0.30ppm], medium concentration: [0.31ppm, 1.00ppm], dangerous concentration: [1.01ppm, +∞).

9. The multi-sensor fusion laboratory safety alarm method according to claim 8, characterized in that: The anomaly detection rules are designed according to humidity level, temperature level and concentration level, including: Construct danger levels, including safety level, warning level and emergency level; Construct anomaly detection rules based on the risk level: A1: The humidity level is normal humidity and the temperature level is normal temperature. The concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, and the hazard level is confirmed to be safe. A2: The humidity level is not normal humidity and the temperature level is normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be a warning level. A3: The humidity level is normal humidity and the temperature level is not normal temperature. Among the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds, the concentration levels of two or more gases are not at normal concentrations. The danger level is confirmed to be warning level. A5: If the humidity level is not normal and the temperature level is not normal, and the concentration levels of ammonia, carbon dioxide, methane, oxygen and volatile organic compounds are all at normal concentrations, then the danger level is confirmed to be a warning level; A5: If the humidity level is normal humidity and the temperature level is not normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level; A6: If the humidity level is not normal humidity and the temperature level is normal temperature, and the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be emergency level; A7: If the humidity level is not the normal humidity and the temperature level is not the normal temperature, the concentration levels of ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration, and volatile organic compound concentration are not at normal concentrations, then the danger level is confirmed to be an emergency level.

10. A multi-sensor fusion laboratory safety alarm system, characterized in that: The system comprises: A space parameter acquisition module is used to set a sensor unit, wherein the sensor unit includes: a humidity main sensor unit, a humidity auxiliary sensor unit, a temperature main sensor unit, a temperature auxiliary sensor unit, a gas main sensor unit and a gas auxiliary sensor unit, and the humidity auxiliary sensor unit is interconnected with the humidity main sensor unit, the temperature auxiliary sensor unit is interconnected with the temperature main sensor unit, and the gas auxiliary sensor unit is interconnected with the gas main sensor unit; the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit are used to collect space humidity, space temperature and gas concentration; A sensor delay judgment module is used to construct a data prediction model, perform data processing on the space humidity, space temperature and gas concentration, and obtain corrected humidity, corrected temperature and corrected concentration; calculate the sensor delay, and determine whether the sensor delay is greater than a preset delay threshold; if the sensor delay is greater than the delay threshold, switch to the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit, adjust the delay of the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and switch the humidity auxiliary sensor unit, the temperature auxiliary sensor unit and the gas auxiliary sensor unit to the humidity main sensor unit, the temperature main sensor unit and the gas main sensor unit, and return to the above step of calculating the sensor delay; if the sensor delay is not greater than the preset delay threshold, design a scheduling coordination plan, and use the coordinated scheduling plan to operate the sensor unit; A prediction model prediction module, used to make predictions based on the corrected humidity, corrected temperature, corrected concentration and the data prediction model to obtain predicted humidity, predicted temperature and predicted concentration; A parameter level determination module is used to define humidity level, temperature level and concentration level, and to design anomaly detection rules according to humidity level, temperature level and concentration level, wherein the humidity level includes: dry humidity, normal humidity and humid humidity, the temperature level includes: low temperature, normal temperature and high temperature, the concentration level includes: ordinary concentration, medium concentration and dangerous concentration, and the predicted concentration includes: ammonia concentration, carbon dioxide concentration, methane concentration, oxygen concentration and volatile organic compound concentration; the predicted humidity, predicted temperature and predicted concentration are determined by using the humidity level, temperature level and concentration level to obtain parameter level; an evaluation is performed based on the parameter level and anomaly detection rules to obtain an evaluation level, and a pre-built alarm system is triggered by the evaluation level to complete a safety alarm.

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