CN115953877A - Chemistry experiment room safety emergency wisdom platform - Google Patents

Abstract

The invention belongs to the field of safety emergency of a chemical laboratory, and provides a safety emergency intelligent platform of the chemical laboratory, which comprises: the system comprises a monitored object acquisition module, a data monitoring module, an environmental characteristic acquisition module, a communication matching module, a data screening module, a data analysis module, a data processing module and an early warning module; firstly, acquiring monitored objects corresponding to each chemical laboratory based on the use characteristics of the chemical laboratory, fragmentizing each monitoring data into a plurality of sub-monitoring data fragments according to time domain characteristics, constructing a monitoring data matrix, and screening out the monitoring data according to a screening rule; and analyzing the screened monitoring data into a uniform data format, extracting a first characteristic component of the monitoring data and a second characteristic component of the real-time environment characteristic, respectively inputting the two characteristic components into an AND gate, judging whether the monitoring data in the uniform data format exceeds a preset threshold value, and carrying out early warning prompt according to the type of the monitored object when the monitoring data exceeds the threshold value.

Description

A chemical laboratory safety emergency intelligence platform

technical field

The invention relates to the field of chemical laboratory safety emergency response, in particular to a chemical laboratory safety emergency intelligent platform.

Background technique

At present, there are many kinds of chemical laboratories, and for all kinds of chemical laboratories, monitoring objects need to be monitored for real-time alarm processing. However, for different chemical laboratories, the types and quantities of sensors that need to be equipped are different, and most sensors use the communication mode corresponding to the sensor type for data transmission, which leads to the need for the CPU controller to match the communication of each sensor. In addition, for the data transmitted by various sensors, the CPU controller needs to analyze various data. In the end, the monitoring system of the chemical laboratory needs to perform various types of data analysis and matching of communication methods, making it difficult to realize A CPU controller realizes the access of multiple types of sensors and communication modes at the same time, and at the same time, it is difficult to realize the simultaneous monitoring and control of the operating status of various equipment caused by environmental restrictions.

See the patent application with the application number CN202020446370.9, which discloses a chemical laboratory intelligent monitoring system, including a data acquisition system, a wireless transmission module, an item positioning module, an alarm system, a background management system, a power supply module and a liquid crystal display, Among them, the data acquisition system and the object positioning module are connected to the microprocessor, the microprocessor is connected to the background management system through the wireless transmission module, and the background management system is connected to the alarm system; the above-mentioned modules are connected to the power module; Manage the cameras and LCD screens connected to the system. This patent application can realize all-weather monitoring and monitoring of chemical laboratories, avoid burns, scalds, corrosion, poisoning, fires, explosions, electric shocks and other accidents in the absence of laboratory personnel, and prevent and warn in advance.

See also the patent application whose application number is CN202210641585.X, which discloses a chemical and chemical laboratory fire prevention warning method and system. First, the environmental signal of the laboratory is collected; The comprehensive judgment unit is used to generate the alarm control signal and the existence time signal; the alarm signal is generated to the outside according to the alarm control signal. The chemical chemical laboratory fire prevention warning method and system provided by the present invention, the method transplants the improved yolov2 neural network model after training into the single chip microcomputer, and combines the signals collected by various sensors in the laboratory environment to comprehensively judge the flame property state , so as to generate different levels of alarm signals, monitor the development of laboratory flames in real time, and call the police in time to extinguish the fire phenomenon as soon as possible, avoiding property loss and expansion of safety accidents. This method predicts accurately and timely.

It can be seen that the above two application documents are monitoring and early warning schemes for a single type of chemical laboratory, and cannot be equipped with corresponding monitoring data for various chemical laboratories according to the use characteristics of chemical laboratories, nor are they suitable for each sensor used. In the end, the system will burden the data processing of various sensors, and the degree of intelligent monitoring is low.

Contents of the invention

The purpose of the present invention is to provide a chemical laboratory safety emergency intelligence platform, which can match the corresponding monitored objects for each chemical laboratory according to the use characteristics of the chemical laboratory, so as to obtain monitoring data corresponding to the use characteristics of the chemical laboratory. And it can match the appropriate communication mode for each data monitoring module according to the data type and real-time environment characteristics, and can also filter out reasonable monitoring data. On the premise of matching the monitoring needs of each chemical laboratory, it can also ensure the accuracy of the monitoring data Real-time performance and monitoring data transmission can also reduce the processing burden of the data processing module, and finally, realize accurate early warning prompts when abnormalities occur in various chemical laboratories.

The present invention solves its technical problem, and the technical solution adopted is:

The present invention proposes a chemical laboratory safety emergency intelligence platform, which includes:

The monitoring object acquisition module is used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory;

A data monitoring module, configured to obtain monitoring data corresponding to the monitored object;

The environmental feature acquisition module is used to acquire the real-time environmental features of the chemical laboratory;

The communication matching module is used to match the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environmental characteristics, and send the monitoring data to the data analysis module based on the matched communication mode;

The data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to time-domain characteristics, construct a monitoring data matrix according to the number of sub-monitoring data segments, and filter out monitoring data according to screening rules;

The data analysis module is used to analyze the screened monitoring data into a unified data format;

The data processing module is used to extract the first feature component of the monitoring data in a unified data format, and simultaneously extract the second feature component of the real-time environment feature, and input the first feature component and the second feature component into the AND gate respectively to judge the unified data format Whether the monitoring data exceeds the preset threshold, and output the judgment result through the output terminal of the AND gate;

The early warning module is used to give an early warning prompt according to the type of the monitored object when the output judgment result indicates that the monitoring data in the unified data format exceeds the threshold.

As a further optimization, if the usage characteristics of the chemical laboratory are different, the scope of the monitored objects corresponding to the chemical laboratory is different;

The scope of the monitored objects includes: temperature and humidity, gas, emergency treatment, fire electrical, access control, video, cleanliness and dangerous materials.

As a further optimization, the chemical laboratory includes: biological laboratory, clean laboratory, high temperature heating room, chemical analysis room, instrument analysis room, sample room, standardization room, gas cylinder room, waste storage room and balance room;

Based on its use characteristics, the biological laboratory obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video, cleanliness and dangerous materials;

Based on its use characteristics, the clean laboratory obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video, cleanliness and dangerous materials;

The high-temperature heating chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video;

Based on its use characteristics, the chemical analysis room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video;

Based on its use characteristics, the instrument analysis room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video;

Based on its use characteristics, the sample room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video and dangerous materials;

Based on its use characteristics, the standardization room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials;

Based on its use characteristics, the gas cylinder room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials;

Based on its use characteristics, the waste storage room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials;

Based on its use characteristics, the balance room obtains the corresponding monitored objects, including: temperature and humidity, emergency treatment, fire protection electrical, access control and video.

As a further optimization, when the data monitoring module acquires the monitoring data corresponding to the monitored object, the monitoring data is divided into M categories based on the data volume of the monitoring data, and M is a positive integer greater than or equal to 2;

When acquiring the real-time environmental features of the chemical laboratory, the environmental feature acquisition module divides the real-time environmental features into N categories, where N is a positive integer greater than or equal to 2.

As a further optimization, the platform also includes a mapping module, which is used to establish a mapping relationship with the corresponding real-time environmental feature category based on the category of the monitoring data, that is, M→N.

As a further optimization, when the communication matching module matches the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environment characteristics, it matches the corresponding communication mode for the data monitoring module based on the mapping relationship, expressed as: (M→N )→Y, where Y is the category of the communication mode.

As a further optimization, when the data screening module slices each monitoring data into multiple sub-monitoring data segments according to the time-domain characteristics, the time-domain characteristics refer to: the data monitoring module acquires and monitors within a specified time period Multiple time nodes in the monitoring data corresponding to the object;

When constructing the monitoring data matrix according to the number of sub-monitoring data segments, it includes: sequentially storing a plurality of sub-monitoring data segments correspondingly in the matrix array unit according to the order of the time nodes, and the number of the matrix array units is greater than equals four, and the number of rows equals the number of columns.

As a further optimization, the screening rules refer to:

After the monitoring data matrix is constructed, the sub-monitoring data segment stored in the matrix array unit of the first column and the last row is used as the starting point, and the sub-5 monitoring data segment stored in the matrix array unit of the last column and the first row is used as the end point for connection. line, constructing the vector, and for each matrix array in the vector

The average value of the sub-monitoring data fragments stored in the element is taken as the filtered monitoring data.

As a further optimization, when the data processing module extracts the first characteristic component of the monitoring data in a unified data format, the monitoring data corresponding to each monitoring object in the chemical laboratory are respectively

Set constants, multiply each constant by the monitoring data in the corresponding unified data format and add them to 0 as the first characteristic component;

When the data processing module extracts the real-time environment features, the mean value of the corresponding real-time environment features under each time node is taken as the second feature component;

When determining whether the monitoring data in the unified data format exceeds a preset threshold, it is determined based on the second feature component whether the monitoring data corresponding to the first feature component exceeds the threshold.

5 As a further optimization, when the monitoring data corresponding to the first characteristic component exceeds the threshold, match the corresponding communication mode for the monitoring data, and send early warning prompt information to the corresponding controlled device and/or remote terminal in this communication mode.

The beneficial effects of the present invention are: through the above-mentioned chemical laboratory safety emergency intelligence platform,

First, the monitored objects corresponding to each chemical laboratory can be obtained based on the usage characteristics of the chemical laboratory, and then the monitoring data corresponding to the monitored object can be obtained, and the real-time environmental characteristics of the chemical laboratory can be obtained, and then, the Match the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environment characteristics, and send the monitoring data to the data analysis module based on the matched communication mode, and then, each monitoring data can be sliced and processed according to the time domain characteristics into multiple Personal monitoring

For data fragments, the monitoring data matrix is constructed according to the number of sub-monitoring data fragments, and the monitoring data is screened out according to the screening rule 5. Then, the screened monitoring data can be parsed into a unified data format,

Then, the first feature component of the monitoring data in the unified data format can be extracted, and the second feature component of the real-time environment feature can be extracted at the same time, and the first feature component and the second feature component can be respectively input into the AND gate to judge the monitoring data in the unified data format Whether the preset threshold value is exceeded, and the judgment result is output through the output terminal of the AND gate. Finally, when the output judgment result indicates that the monitoring data in the unified data format exceeds the threshold value, an early warning prompt is given according to the type of the monitoring object.

Therefore, intelligent monitoring of various chemical laboratories can be realized through the above-mentioned chemical laboratory safety emergency intelligence platform proposed by the present invention.

Description of drawings

FIG. 1 is a block diagram of the overall structure of a chemical laboratory safety emergency intelligence platform proposed in Embodiment 1 of the present invention;

2 is a schematic diagram of the composition and structure of a chemical laboratory safety emergency intelligence platform proposed in Embodiment 1 of the present invention;

Among them, 1--temperature and humidity, 2--gas, 3--emergency treatment, 4--fire electrical, 5--access control, 6--video, 7--cleanliness and 8--dangerous materials.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

Example

The embodiment of the present invention proposes a chemical laboratory safety emergency intelligence platform, whose overall structural block diagram is shown in Figure 1, wherein the platform includes: a monitoring object acquisition module, a data monitoring module, an environmental feature acquisition module, a communication matching module, Screening module, data analysis module, data processing module and early warning module, in which:

The monitoring object acquisition module is used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory;

A data monitoring module, configured to obtain monitoring data corresponding to the monitored object;

The environmental feature acquisition module is used to acquire the real-time environmental features of the chemical laboratory;

The communication matching module is used to match the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environmental characteristics, and send the monitoring data to the data analysis 5 module based on the matched communication mode;

The data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to time-domain characteristics, construct a monitoring data matrix according to the number of sub-monitoring data segments, and filter out monitoring data according to screening rules;

The data analysis module is used to analyze the screened monitoring data into a unified data format; the O data processing module is used to extract the first characteristic component of the monitoring data in a unified data format,

Simultaneously extract the second feature component of the real-time environment feature, input the first feature component and the second feature component into the AND gate respectively, judge whether the monitoring data in the unified data format exceeds the preset threshold, and output the judgment result through the output terminal of the AND gate ;

The early warning module is used to give an early warning prompt according to the type of the monitored object when the output judgment result indicates that the monitoring data in the unified data format exceeds the 5th threshold.

See Figure 2, due to the wide variety of chemical laboratories, even some monitored objects such as video, access control, fire protection, electrical and emergency disposal are basic monitored objects, that is to say, many chemical laboratories need to monitor these monitored objects , however, there are still some monitored objects such as cleanliness, hazardous materials, temperature and humidity, and gases, etc., not every chemical laboratory needs to be monitored. Therefore, the objects that need to be monitored in each chemical laboratory will also Due to the use characteristics of chemical laboratories are not

There are differences in the same way. For various chemical laboratories, if the usage characteristics of the chemical laboratories are different, the scope of the monitored objects corresponding to the chemical laboratories is different. In this embodiment, the monitored objects The range can include: temperature and humidity 1, gas 2, emergency treatment 3, fire electrical 4, access control 5, video 6, cleanliness 7 and hazardous materials 8 and so on.

5 In order to facilitate the understanding of the use characteristics of each chemical laboratory, and thus match reasonable monitoring objects for each chemical laboratory, in this embodiment, several typical chemical laboratories are selected as examples for illustration. Here, the chemical The laboratory can include: biological laboratory, clean laboratory, high temperature heating room, chemical analysis room, instrument analysis room, sample room, standardization room, gas cylinder room, waste storage room and balance room, etc.

In the above-mentioned chemical laboratory, the biological laboratory obtains the corresponding monitored objects based on its usage characteristics, which may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5, video 6, cleanliness 7 and dangerous materials 8, etc.; based on its use characteristics, the clean laboratory obtains the corresponding monitored objects, which may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5, video 6, clean Degree 7 and hazardous materials 8, etc.; the high-temperature heating chamber obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5 and video 6, etc. The chemical analysis room obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5 and video 6, etc.; the instrument analysis room is based on Its use characteristics, to obtain the corresponding monitored objects, may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5 and video 6, etc.; the sample room obtains the corresponding monitoring objects based on its use characteristics The monitored objects may include: temperature and humidity 1, gas 2, emergency treatment 3, fire protection electrical 4, access control 5, video 6, and dangerous materials 8, etc.; the standardization room obtains the corresponding monitored objects based on its use characteristics, It may include: gas 2, emergency treatment 3, fire protection electrical 4, access control 5, video 6, and hazardous materials 8, etc.; the gas cylinder room obtains the corresponding monitored object based on its use characteristics, which may include: gas 2, emergency Disposal 3, fire protection electrical 4, access control 5, video 6 and hazardous materials 8, etc.; the waste storage room obtains the corresponding monitored objects based on its usage characteristics, which may include: gas 2, emergency disposal 3, fire protection electrical 4 , access control 5, video 6 and hazardous materials 8, etc.; the balance room obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, emergency treatment 3, fire protection electrical 4, access control 5 and video 6, etc. , and other general chemical formula chambers obtain corresponding monitored objects based on their use characteristics, which may include: emergency response 3, fire protection electrical 4, access control 5 and video 6, etc.

This embodiment no longer enumerates all chemical laboratories, but only takes the above-mentioned chemical laboratory as an example to illustrate that various chemical experiments should monitor the monitoring objects corresponding to the use characteristics based on their use characteristics. Therefore, the monitoring object acquisition module is based on the chemical laboratory Obtain the monitored objects corresponding to each chemical laboratory according to the usage characteristics, and obtain the monitoring data corresponding to the monitored objects through the data monitoring module.

The data monitoring module generally uses corresponding sensors or videos to obtain monitoring data. For example, in this embodiment, for temperature and humidity objects, the environment/device temperature and humidity sensors can be used to obtain monitoring data, and, through this implementation An example of a chemical laboratory safety emergency smart platform monitors temperature and humidity data. If the temperature and humidity are abnormal, it will remind the abnormal temperature and humidity. It can perform remote temperature and humidity adjustment and constant temperature and humidity intelligent adjustment through the controlled equipment. For access control pairs

For example, it is possible to locate people through video, and to control 0 smart on/off through face recognition or RFID recognition.

Generally speaking, for different chemical laboratories, due to the different objects to be monitored, different sensors and/or video acquisition devices need to be equipped, and the amount of data collected by different sensors is also different. The amount of data is small, and the image sensor collects

If the data volume is large, the wireless communication mode can be used for small data volume, such as NB-IOT and LORA. 5 For large data volume, limited communication mode should be used as much as possible. , in this embodiment, for the data monitoring module, when acquiring the monitoring data corresponding to the monitored object, the monitoring data can be divided into M categories based on the data volume of the monitoring data, and M is a positive integer greater than or equal to 2 ; while for real-time environment features, the chemical

In the laboratory, different environmental characteristics will also affect the data collection work of the data monitoring module, and will also affect the information transmission work after collecting data. Therefore, in order to meet the data transmission requirements of different types of monitoring data, in this embodiment , for the environmental feature acquisition module, when acquiring the real-time environmental features of the chemical laboratory, it can divide the real-time environmental features into N categories, where N is a positive integer greater than or equal to 2.

For the monitoring data of the same category or different categories, under different environmental characteristics, it is necessary to match the communication mode that is more conducive to data transmission. Therefore, in this embodiment, for a chemical experiment

For indoor safety emergency intelligence platform, in order to meet the communication mode matching requirements of different types of monitoring data, it can also include a mapping module, which is used to establish the mapping relationship of real-time environmental feature categories corresponding to the category of monitoring data , that is, M→N.

It should be pointed out that, based on the monitoring data, in order to match the most suitable communication mode for data transmission in different real-time environments, in this embodiment, the communication matching module matches the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environment characteristics. For the communication mode, match the corresponding communication mode for the data monitoring module based on the mapping relationship, which can be expressed as: (M→N)→Y, where Y is the category of the communication mode.

In the specific application process, since most of the data monitoring modules are sensors that collect various types of data, and for sensors, if they only collect data at one time node when collecting data, then the data collected at this time node may not be Accurate, there may also be data loss. Therefore, in order to avoid the discarding of data collection and to collect more accurate data, in this embodiment, a specified time period can be set for the data monitoring module. In this In the time period, multiple time nodes can be divided, and the data monitoring module collects data at each time node. Therefore, when the data screening module slices each monitoring data into multiple sub-monitoring data segments according to the characteristics of the time domain, The time domain feature refers to: multiple time nodes when the data monitoring module acquires monitoring data corresponding to the monitored object within a specified time period; Within seconds, you can set the time node to collect data every 200 milliseconds, collect 10 data in total, and then filter out one of them as the final collected data. This approach can avoid the discarding problem of data collection.

In addition, for the sub-monitoring data segments collected at each time node, there is no guarantee that each sub-monitoring data segment is accurate, that is, not every sub-monitoring data segment can be used as the final monitoring data. Therefore, this In an embodiment, when constructing a monitoring data matrix according to the number of sub-monitoring data segments, it may include: sequentially storing a plurality of sub-monitoring data segments correspondingly in the matrix array unit according to the order of the time nodes, and the matrix array unit The number is greater than or equal to four, and the number of rows is equal to the number of columns. Among them, the purpose of setting the matrix is to orderly arrange these sub-monitoring data segments more regularly, so that the final monitoring data can be screened out by using the screening rules.

For this reason, screening rules can be set according to the matrix formed by the sub-monitoring data. Here, the screening rules refer to:

After constructing the monitoring data matrix, start with the sub-monitoring data segment stored in the matrix array unit in the first column and last row, and connect with the sub-monitoring data segment stored in the matrix array unit in the last column and first row as the end point , constructing a vector, and taking the mean value of the sub-monitoring data segments stored in each matrix array unit in the vector, as the filtered monitoring data.

For the setting of screening rules, since each sub-monitoring data segment is sorted in an orderly manner according to the time point solution, the integrity of the data is satisfied, and in the matrix, the sub-monitoring data in the diagonally diagonal matrix units are first screened out Fragments can reflect the randomness of data screening. In the array unit of the matrix, since the constructed vector is composed of diagonal lines, it can also reflect the orderliness of data screening. Therefore, the final screened monitoring data is more real data.

It should be noted that, as mentioned in this implementation, due to the different usage characteristics of each chemical laboratory, the types of monitoring data that need to be collected are also different, resulting in the data monitoring module being equipped with different types and quantities of sensors. The different real-time environmental characteristics of the laboratory will affect the data collection work of various sensors, and will also affect the data transmission work. Therefore, in this embodiment, each chemical laboratory will set different data processing modules to extract the unified data format. When monitoring the first characteristic component of data, set constants for the monitoring data corresponding to each monitoring object in the chemical laboratory, multiply each constant by the corresponding monitoring data in a unified data format and add them together as the first characteristic component ;

When the data processing module extracts the real-time environment features, the mean value of the corresponding real-time environment features under each time node is taken as the second feature component;

When determining whether the monitoring data in the unified data format exceeds a preset threshold, it is determined based on the second feature component whether the monitoring data corresponding to the first feature component exceeds the threshold.

Here, the constants set will vary according to the types of sensors. For the monitored object in this embodiment, a monitored object may require multiple sensors of different types to collect data at the same time, and then use the data collected by these sensors to calculate and obtain the monitored Therefore, this embodiment can calculate more accurate monitoring data by setting constants, and real-time environmental characteristics will directly affect the data collected and transmitted by various sensors. Therefore, it is necessary to judge the first based on the second characteristic component. The feature component judges whether the corresponding monitoring data exceeds the threshold.

Therefore, in this embodiment, when the monitoring data corresponding to the first characteristic component exceeds the threshold, the monitoring data is matched with a corresponding communication mode, and early warning prompt information is sent to the corresponding controlled device and/or remote terminal in this communication mode.

The above are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. A chemical laboratory safety emergency intelligence platform, characterized in that the platform includes: The monitoring object acquisition module is used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory; A data monitoring module, configured to obtain monitoring data corresponding to the monitored object; The environmental feature acquisition module is used to acquire the real-time environmental features of the chemical laboratory; The communication matching module is used to match the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environmental characteristics, and send the monitoring data to the data analysis module based on the matched communication mode; The data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to time-domain characteristics, construct a monitoring data matrix according to the number of sub-monitoring data segments, and filter out monitoring data according to screening rules; The data analysis module is used to analyze the screened monitoring data into a unified data format; The data processing module is used to extract the first feature component of the monitoring data in a unified data format, and simultaneously extract the second feature component of the real-time environment feature, and input the first feature component and the second feature component into the AND gate respectively to judge the unified data format Whether the monitoring data exceeds the preset threshold, and output the judgment result through the output terminal of the AND gate; The early warning module is used to give an early warning prompt according to the type of the monitored object when the output judgment result indicates that the monitoring data in the unified data format exceeds the threshold. 2. A chemical laboratory safety emergency intelligence platform according to claim 1, characterized in that, if the use characteristics of the chemical laboratory are different, the scope of the monitored object corresponding to the chemical laboratory is different; The scope of the monitored objects includes: temperature and humidity, gas, emergency treatment, fire electrical, access control, video, cleanliness and dangerous materials. 3. A chemical laboratory safety emergency intelligence platform according to claim 2, characterized in that the chemical laboratory includes: a biological laboratory, a clean laboratory, a high temperature heating room, a chemical analysis room, an instrument analysis room, Sample room, standardization room, gas cylinder room, waste storage room and balance room; Based on its use characteristics, the biological laboratory obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video, cleanliness and dangerous materials; Based on its use characteristics, the clean laboratory obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video, cleanliness and dangerous materials; The high-temperature heating chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video; Based on its use characteristics, the chemical analysis room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video; Based on its use characteristics, the instrument analysis room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control and video; Based on its use characteristics, the sample room obtains the corresponding monitored objects, including: temperature and humidity, gas, emergency treatment, fire protection electrical, access control, video and dangerous materials; Based on its use characteristics, the standardization room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials; Based on its use characteristics, the gas cylinder room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials; Based on its use characteristics, the waste storage room obtains the corresponding monitored objects, including: gas, emergency treatment, fire protection electrical, access control, video and dangerous materials; Based on its use characteristics, the balance room obtains the corresponding monitored objects, including: temperature and humidity, emergency treatment, fire protection electrical, access control and video. 4. A chemical laboratory safety emergency intelligence platform according to claim 1, characterized in that, when the data monitoring module obtains the monitoring data corresponding to the monitored object, based on the data volume of the monitoring data, the monitoring data Divided into M categories, M is a positive integer greater than or equal to 2; When acquiring the real-time environmental features of the chemical laboratory, the environmental feature acquisition module divides the real-time environmental features into N categories, where N is a positive integer greater than or equal to 2. 5. A kind of chemical laboratory safety emergency intelligence platform according to claim 4, is characterized in that, this platform also comprises mapping module, is used to establish the mapping relation of the real-time environment characteristic category corresponding to its category based on the category of monitoring data, That is, M→N. 6. A chemical laboratory safety emergency intelligence platform according to claim 1, characterized in that, when the communication matching module matches the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environment characteristics, based on the The mapping relationship is that the data monitoring module matches the corresponding communication mode, expressed as: (M→N)→Y, where Y is the category of the communication mode. 7. A chemical laboratory safety emergency intelligence platform according to claim 6, characterized in that, when the data screening module slices each monitoring data into a plurality of sub-monitoring data segments according to time-domain characteristics, the The time-domain feature refers to: multiple time nodes when the data monitoring module acquires monitoring data corresponding to the monitored object within a specified time period; When constructing the monitoring data matrix according to the number of sub-monitoring data segments, it includes: sequentially storing a plurality of sub-monitoring data segments correspondingly in the matrix array unit according to the order of the time nodes, and the number of the matrix array units is greater than equals four, and the number of rows equals the number of columns. 8. A chemical laboratory safety emergency intelligence platform according to claim 7, wherein the screening rules refer to: After constructing the monitoring data matrix, start with the sub-monitoring data segment stored in the matrix array unit in the first column and last row, and connect with the sub-monitoring data segment stored in the matrix array unit in the last column and first row as the end point , constructing a vector, and taking the mean value of the sub-monitoring data segments stored in each matrix array unit in the vector, as the filtered monitoring data. 9. A chemical laboratory safety emergency intelligence platform according to claim 8, characterized in that, when the data processing module extracts the first characteristic component of the monitoring data in a unified data format, it is respectively in the chemical laboratory and The monitoring data corresponding to each monitoring object is set as a constant, and each constant is multiplied by the corresponding monitoring data in a unified data format and added as the first characteristic component; When the data processing module extracts the real-time environment features, the mean value of the corresponding real-time environment features under each time node is taken as the second feature component; When determining whether the monitoring data in the unified data format exceeds a preset threshold, it is determined based on the second feature component whether the monitoring data corresponding to the first feature component exceeds the threshold. 10. A chemical laboratory safety emergency intelligence platform according to claim 9, characterized in that, when the monitoring data corresponding to the first characteristic component exceeds a threshold, the monitoring data is matched with a corresponding communication mode, and the communication mode is used to Send early warning prompt information to the corresponding controlled device and/or remote terminal.

Images