A chemical laboratory safety emergency intelligence platform

Abstract

The invention belongs to the field of chemical laboratory safety emergency, and provides a chemical laboratory safety emergency intelligent platform, which comprises: a monitoring object acquisition module, a data monitoring module, an environmental feature acquisition module, a communication matching module, a data screening module, a data parsing module, a data processing module and an early warning module; in the invention, firstly, based on the use characteristics of the chemical laboratory, the monitored objects corresponding to each chemical laboratory are acquired, each monitoring data is processed into a plurality of sub-monitoring data segments according to the time domain characteristics, and a monitoring data matrix is ​​constructed, and the monitoring data is screened out according to the screening rules; then, the screened monitoring data is parsed into a unified data format, a first characteristic component of the monitoring data is extracted, and a second characteristic component of the real-time environmental feature is extracted, and the two characteristic components are respectively input into an AND gate, and it is judged whether the monitoring data in the unified data format exceeds a preset threshold value, and when the threshold value is exceeded, an early warning prompt is given according to the type of the monitored object.

Description

Technical Field

[0001] The present invention relates to the field of chemical laboratory safety emergency response, and in particular to a chemical laboratory safety emergency response intelligent platform. Background Art

[0002] At present, there are many types of chemical laboratories, and all chemical laboratories need to monitor their monitored objects in order to perform real-time alarm processing. However, for different chemical laboratories, the types and quantities of sensors required are different, and most sensors use the communication method corresponding to the sensor type for data transmission, resulting in the CPU controller needing to match the communication method of each sensor, and for the data transmitted by multiple sensors, the CPU controller needs to parse various data, and finally, the monitoring system of the chemical laboratory needs to perform various types of data parsing and communication method matching, making it difficult to achieve a CPU controller to simultaneously access multiple types of sensors and communication modes, and at the same time, it is also difficult to achieve simultaneous monitoring and control of the operating status of multiple devices caused by environmental restrictions.

[0003] See the patent application with application number CN202020446370.9, which discloses an intelligent monitoring system for chemical laboratories, including a data acquisition system, a wireless transmission module, an object positioning module, an alarm system, a background management system, a power module and a liquid crystal display screen, wherein the data acquisition system and the object positioning module are both connected to a microprocessor, the microprocessor is connected to the background management system through a wireless transmission module, and the background management system is connected to the alarm system; each of the above modules is connected to a power module; and also includes a camera and a liquid crystal display screen connected to the background management system. This patent application can realize all-weather monitoring and surveillance of chemical laboratories, avoid accidents such as burns, scalds, corrosion, poisoning, fire, explosion, electric shock, etc. when the experimenters are not present, and make preventive warnings in advance.

[0004] See also the patent application with application number CN202210641585.X, which discloses a fire warning method and system for chemical chemical laboratories, firstly, the environmental signal of the laboratory is collected; the state signal is identified through the environmental signal, and the alarm control signal is generated by a comprehensive judgment unit according to the flame area, change speed and existence time signal; an alarm signal is generated to the outside world according to the alarm control signal. The fire warning method and system for chemical chemical laboratories provided by the present invention transplants the trained improved yolov2 neural network model into a single-chip microcomputer, and comprehensively judges the flame property state in combination with the signals collected by various sensors in the laboratory environment, thereby generating alarm signals of different levels, real-time monitoring of the laboratory flame development trend, timely alarm, and extinguishing the fire phenomenon as soon as possible to avoid property losses and the expansion of safety accidents. The method predicts accurately and timely.

[0005] It can be seen that the above two application documents are both monitoring and early warning solutions for a single type of chemical laboratory. They cannot equip each type of chemical laboratory with the corresponding monitoring data based on the usage characteristics of the chemical laboratory, nor do they match the appropriate communication mode for each sensor used. Ultimately, the system is burdened with data processing for various sensors, and the level of intelligent monitoring is low. Summary of the invention

[0006] The purpose of the present invention is to provide a chemical laboratory safety emergency intelligent platform, which can match 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 can match appropriate communication modes for each data monitoring module according to the data type and real-time environment characteristics, and can screen out reasonable monitoring data. On the premise of being able to match the monitoring needs of each chemical laboratory, it can also ensure the accuracy of the monitoring data and the real-time transmission of the monitoring data, and can also reduce the processing burden of the data processing module. Finally, accurate early warning prompts for various chemical laboratories in abnormal situations can be achieved.

[0007] The present invention solves the technical problem and adopts the following technical solution:

[0008] The present invention proposes a chemical laboratory safety emergency intelligence platform, which includes:

[0009] A monitoring object acquisition module, used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory;

[0010] A data monitoring module, used to obtain monitoring data corresponding to the monitored object;

[0011] Environmental feature acquisition module, used to obtain real-time environmental features of chemical laboratories;

[0012] A communication matching module is used to match a 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;

[0013] The data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to the time domain characteristics, construct a monitoring data matrix according to the number of sub-monitoring data segments, and screen out the monitoring data according to the screening rules;

[0014] A data parsing module is used to parse the screened monitoring data into a unified data format;

[0015] A data processing module, used to extract a first characteristic component of the monitoring data in a unified data format, and simultaneously extract a second characteristic component of the real-time environmental feature, and input the first characteristic component and the second characteristic component into an AND gate respectively, to determine whether the monitoring data in the unified data format exceeds a preset threshold, and output the determination result through an output end of the AND gate;

[0016] The early warning module is used to issue 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.

[0017] As a further optimization, if the usage characteristics of the chemical laboratory are different, the range of monitored objects corresponding to the chemical laboratory is different;

[0018] The scope of the monitored objects includes: temperature and humidity, gas, emergency response, fire electrical, access control, video, cleanliness and hazardous materials.

[0019] As a further optimization, the chemical laboratory includes: a biological laboratory, a clean laboratory, a high temperature heating room, a chemical analysis room, an instrument analysis room, a sample room, a standardization room, a gas cylinder room, a waste storage room and a balance room;

[0020] The biological laboratory obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video, cleanliness and hazardous materials;

[0021] The clean laboratory obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video, cleanliness and hazardous materials;

[0022] The high temperature heating chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video;

[0023] The chemical analysis room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video;

[0024] The instrument analysis room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video;

[0025] The sample chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video and hazardous materials;

[0026] The standard room obtains the corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials;

[0027] The gas cylinder room obtains the corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials;

[0028] The waste storage room obtains corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials;

[0029] The balance room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, emergency disposal, fire electrical, access control and video.

[0030] As a further optimization, when the data monitoring module obtains 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, where M is a positive integer greater than or equal to 2;

[0031] When acquiring the real-time environmental characteristics of the chemical laboratory, the environmental characteristics acquisition module divides the real-time environmental characteristics into N categories, where N is a positive integer greater than or equal to 2.

[0032] As a further optimization, the platform also includes a mapping module for establishing a mapping relationship between the categories of the monitoring data and the categories of the real-time environmental features corresponding to the categories, ie, M→N.

[0033] 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 environmental characteristics, the communication matching module matches the corresponding communication mode for the data monitoring module based on the mapping relationship, which is expressed as: (M→N)→Y, where Y is the category of the communication mode.

[0034] As a further optimization, when the data screening module processes each monitoring data into multiple sub-monitoring data segments according to the time domain characteristics, the time domain characteristics refer to: multiple time nodes when the data monitoring module obtains the monitoring data corresponding to the monitored object within a specified time period;

[0035] When constructing the monitoring data matrix according to the number of sub-monitoring data fragments, it includes: storing multiple sub-monitoring data fragments in matrix array units in sequence according to the sequence of the time nodes, the number of matrix array units is greater than or equal to four, and the number of rows is equal to the number of columns.

[0036] As a further optimization, the screening rule refers to:

[0037] After the monitoring data matrix is ​​constructed, the sub-monitoring data fragment stored in the matrix array unit of the first column and the last row is used as the starting point, and the sub-monitoring data fragment stored in the matrix array unit of the last column and the first row is used as the end point to connect to construct a vector, and each matrix array unit in the vector is connected to the sub-monitoring data fragment stored in the matrix array unit of the last column and the first row.

[0038] The sub-monitoring data fragments stored in the element are averaged as the filtered monitoring data.

[0039] As a further optimization, when the data processing module extracts the first characteristic component of the monitoring data in the unified data format, the monitoring data corresponding to each monitoring object in the chemical laboratory are respectively

[0040] Set constants, multiply each constant by the corresponding monitoring data in a unified data format and add them to obtain 0 as the first characteristic component;

[0041] When extracting the real-time environment features, the data processing module takes the average of the real-time environment features corresponding to each time node as the second feature component;

[0042] When determining whether the monitoring data in the unified data format exceeds a preset threshold, it is determined based on the second characteristic component whether the monitoring data corresponding to the first characteristic component exceeds the threshold.

[0043] 5 As a further optimization, when the monitoring data corresponding to the first characteristic component exceeds the threshold, the corresponding communication mode is matched for the monitoring data, and an early warning prompt information is sent to the corresponding controlled device and / or remote terminal in the communication mode.

[0044] The beneficial effects of the present invention are: through the above-mentioned chemical laboratory safety emergency intelligent platform,

[0045] First, the monitored objects corresponding to each chemical laboratory can be obtained based on the usage characteristics of the chemical laboratory. Then, the monitoring data corresponding to the monitored objects can be obtained, and the real-time environmental characteristics of the chemical laboratory can be obtained. Then, the corresponding communication mode can be matched for the data monitoring module based on the monitoring data and the real-time environmental characteristics, and the monitoring data can be sent to the data parsing module based on the matched communication mode. Then, each monitoring data can be processed into multiple sub-monitoring data according to the time domain characteristics.

[0046] Data fragments, build a monitoring data matrix according to the number of sub-monitoring data fragments, and filter out monitoring data according to the filtering rules. Then, the filtered monitoring data can be parsed into a unified data format.

[0047] Then, the first characteristic component of the monitoring data in a unified data format can be extracted, and the second characteristic component of the real-time environmental feature can be extracted at the same time, and the first characteristic component and the second characteristic component can be respectively input into the AND gate to determine whether the monitoring data in the unified data format exceeds a preset threshold, and the judgment result is output through the output end of the AND gate. Finally, when the output judgment result indicates that the monitoring data in the unified data format exceeds the threshold, an early warning prompt is given according to the type of monitored object.

[0048] Therefore, the above-mentioned chemical laboratory safety emergency intelligent platform proposed by the present invention can be used to realize intelligent monitoring of various chemical laboratories. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is an overall structural diagram of a chemical laboratory safety emergency intelligent platform proposed in Example 1 of the present invention;

[0050] Figure 2 This is a schematic diagram of the composition structure of a chemical laboratory safety emergency intelligent platform proposed in Example 1 of the present invention;

[0051] Among them, 1--temperature and humidity, 2--gas, 3--emergency disposal, 4--fire electrical, 5--access control, 6--video, 7--cleanliness and 8--hazardous materials. DETAILED DESCRIPTION

[0052] 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 are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0053] Example

[0054] The embodiment of the present invention proposes a chemical laboratory safety emergency intelligent platform, and its overall structure diagram is shown in Figure 1 , wherein the platform includes: monitoring object acquisition module, data monitoring module, environmental feature acquisition module, communication matching module, data screening module, data parsing module, data processing module and early warning module, wherein:

[0055] A monitoring object acquisition module, used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory;

[0056] A data monitoring module, used to obtain monitoring data corresponding to the monitored object;

[0057] Environmental feature acquisition module, used to obtain real-time environmental features of chemical laboratories;

[0058] A 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 5 based on the matched communication mode;

[0059] The data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to the time domain characteristics, construct a monitoring data matrix according to the number of sub-monitoring data segments, and screen out the monitoring data according to the screening rules;

[0060] A data parsing module is used to parse the screened monitoring data into a unified data format; a data processing module is used to extract the first characteristic component of the monitoring data in the unified data format,

[0061] At the same time, a second characteristic component of the real-time environmental feature is extracted, and the first characteristic component and the second characteristic component are respectively input into an AND gate to determine whether the monitoring data in the unified data format exceeds a preset threshold, and the determination result is output through the output end of the AND gate;

[0062] The early warning module is used to issue an early warning prompt according to the type of monitored object when the output judgment result indicates that the monitoring data in the unified data format exceeds 5 thresholds.

[0063] See also Figure 2 Due to the wide variety of chemical laboratories, even if some of the monitored objects such as video, access control, fire electrical and emergency disposal are basic monitored objects, that is, many chemical laboratories need to monitor these monitored objects, but there are some monitored objects such as cleanliness, hazardous materials, temperature and humidity, and gas, which not every chemical laboratory needs to monitor. Therefore, the objects that need to be monitored in each chemical laboratory will also be different due to the different usage characteristics of the chemical laboratory.

[0064] The same but different, for various chemical laboratories, if the usage characteristics of the chemical laboratories are different, the range of monitored objects corresponding to the chemical laboratories will be different. In this embodiment, the range of monitored objects may include: temperature and humidity 1, gas 2, emergency disposal 3, fire electrical 4, access control 5, video 6, cleanliness 7 and hazardous materials 8, etc.

[0065] In order to facilitate understanding of the usage characteristics of each chemical laboratory and thus match a reasonable monitoring object for each chemical laboratory, in this embodiment, several typical chemical laboratories are selected as examples for explanation. Here, the chemical laboratories may include: biological laboratories, clean laboratories, high temperature heating rooms, chemical analysis rooms, instrument analysis rooms, sample rooms, standardization rooms, gas cylinder rooms, waste storage rooms, balance rooms, etc.

[0066] In the above-mentioned chemical laboratory, the biological laboratory obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, gas 2, emergency disposal 3, fire electrical 4, access control 5, video 6, cleanliness 7 and hazardous materials 8, etc.; the clean laboratory obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, gas 2, emergency disposal 3, fire electrical 4, access control 5, video 6, cleanliness 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 disposal 3, fire 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 disposal 3, fire electrical 4, access control 5 and video 6, etc.; the instrument analysis room obtains the corresponding monitored objects based on its use characteristics, which may include: temperature and humidity 1, gas 2, emergency disposal 3, fire electrical 4, access control 5 and video 6, etc.; the sample room obtains the corresponding monitored objects based on its use characteristics , obtain the corresponding monitored objects, which may include: temperature and humidity 1, gas 2, emergency disposal 3, fire electrical 4, access control 5, video 6 and hazardous materials 8, etc.; the standard room obtains the corresponding monitored objects based on its usage characteristics, which may include: gas 2, emergency disposal 3, fire electrical 4, access control 5, video 6 and hazardous materials 8, etc.; the gas cylinder room obtains the corresponding monitored objects based on its usage characteristics, which may include: gas 2, emergency disposal 3, fire 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 electrical 4, access control 5, video 6 and hazardous materials 8, etc.; the balance room obtains the corresponding monitored objects based on its usage characteristics, which may include: temperature and humidity 1, emergency disposal 3, fire electrical 4, access control 5 and video 6, etc., and other general chemical formula rooms obtain the corresponding monitored objects based on their usage characteristics, which may include: emergency disposal 3, fire electrical 4, access control 5 and video 6, etc.

[0067] This embodiment no longer enumerates all chemical laboratories, but only takes the above-mentioned chemical laboratory as an example to illustrate that various types of chemical experiments should monitor the monitoring objects corresponding to the usage characteristics based on their usage characteristics. Therefore, the monitored objects corresponding to each chemical laboratory are acquired based on the usage characteristics of the chemical laboratory through the monitoring object acquisition module, and the monitoring data corresponding to the monitored objects are acquired through the data monitoring module.

[0068] 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 / equipment temperature and humidity sensors can be used to obtain monitoring data. Moreover, when the temperature and humidity are monitored by a chemical laboratory safety emergency intelligent platform of this embodiment, if the temperature and humidity are abnormal, an abnormal temperature and humidity reminder will be issued, and the temperature and humidity can be remotely regulated and the constant temperature and humidity can be intelligently adjusted through the controlled equipment.

[0069] For example, people can be located through video, and face recognition or RFID recognition can be used to control the intelligent opening / closing of the device.

[0070] Generally speaking, different chemical laboratories need to be equipped with different sensors and / or video acquisition devices due to different monitored objects. The amount of data collected by different sensors is also different. The amount of data collected by general temperature and humidity sensors is small, while the amount of data collected by image sensors is large.

[0071] For large amounts of data, wireless communication modes such as NB-IOT and LORA can be used for small amounts of data. For large amounts of data, limited communication modes are used as much as possible. Therefore, in order to match communication modes with different amounts of data, in this embodiment, when the data monitoring module obtains the monitoring data corresponding to the monitored object, the monitoring data can be divided into M categories based on the amount of data, where M is a positive integer greater than or equal to 2; and for real-time environmental characteristics, chemical real

[0072] 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 the data is collected. Therefore, in order to meet the data transmission requirements of different categories of monitoring data, in this embodiment, for the environmental characteristic acquisition module, when acquiring the real-time environmental characteristics of the chemical laboratory, the real-time environmental characteristics can be divided into N categories, where N is a positive integer greater than or equal to 2.

[0073] For monitoring data of the same or different categories, under different environmental characteristics, it is necessary to match a communication mode that is more conducive to data transmission. Therefore, in this embodiment, for a chemical experiment

[0074] For the smart room safety emergency platform, in order to meet the communication mode matching requirements of different categories of monitoring data, it can also include a mapping module, which is used to establish a mapping relationship between the real-time environmental feature category corresponding to the category of the monitoring data, that is, M→N.

[0075] It should be pointed out that, based on the monitoring data, in order to meet the needs of matching the communication mode most suitable for data transmission in different real-time environments, in this embodiment, when the communication matching module matches the corresponding communication mode for the data monitoring module based on the monitoring data and real-time environmental characteristics, the communication matching module matches 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.

[0076] In the specific application process, since the data monitoring module is mostly a sensor that collects various types of data, and for the sensor, when it collects data, if it only collects data at one time node, then the data collected at this time node is likely to be inaccurate, and there may also be data loss. Therefore, in order to avoid the problem of discarding data collection and to collect more accurate data, in this embodiment, a specified time period can be set for the data monitoring module. Within this 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 processes each monitoring data into multiple sub-monitoring data fragments according to the time domain characteristics, the time domain characteristics refer to: the multiple time nodes when the data monitoring module obtains the monitoring data corresponding to the monitored object within the specified time period; for example, a specified time period of 2 seconds can be set for the corresponding sensor. Within these 2 seconds, it can be set to collect data once every 200 milliseconds, and a total of 10 times of data can be collected, and then one of them is selected as the final collected data. This approach can avoid the problem of discarding data collection.

[0077] In addition, for the sub-monitoring data fragments collected at each time node, it cannot be guaranteed that each sub-monitoring data fragment is accurate, that is, not every sub-monitoring data fragment can be used as the final monitoring data. Therefore, in this embodiment, when constructing the monitoring data matrix according to the number of sub-monitoring data fragments, it can include: storing multiple sub-monitoring data fragments in a matrix array unit in sequence according to the order of the time nodes, the number of the matrix array units is greater than or equal to four, and the number of rows is equal to the number of columns. The purpose of setting the matrix is ​​to arrange these sub-monitoring data fragments in an orderly manner in a more regular manner so as to filter out the final monitoring data using the screening rules.

[0078] To this end, a screening rule can be set according to the matrix formed by the sub-monitoring data. Here, the screening rule refers to:

[0079] After constructing the monitoring data matrix, a line is connected with the sub-monitoring data fragment stored in the matrix array unit of the first column and the last row as the starting point and the sub-monitoring data fragment stored in the matrix array unit of the last column and the first row as the end point to construct a vector, and the average of the sub-monitoring data fragments stored in each matrix array unit in the vector is taken as the filtered monitoring data.

[0080] Regarding the setting of the screening rules, since each sub-monitoring data fragment is sorted in order according to the time point solution, the integrity of the data is met, and in the matrix, the sub-monitoring data fragments in each diagonal matrix unit are first screened out, which 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 monitoring data finally screened out is more real data.

[0081] It should be noted that, as mentioned in this implementation, each chemical laboratory has different usage characteristics and needs to collect different types of monitoring data, which results in the data monitoring module being equipped with different types and numbers of sensors. The different real-time environmental characteristics of the chemical laboratory will affect the data collection work of various sensors and the data transmission work. Therefore, in this embodiment, each chemical laboratory will be equipped with different data processing modules. When extracting the first characteristic component of the monitoring data in a unified data format, constants are set for the monitoring data corresponding to each monitoring object in the chemical laboratory, and each constant is multiplied by the corresponding monitoring data in a unified data format and added as the first characteristic component;

[0082] When extracting the real-time environment features, the data processing module takes the average of the real-time environment features corresponding to each time node as the second feature component;

[0083] When determining whether the monitoring data in the unified data format exceeds a preset threshold, it is determined based on the second characteristic component whether the monitoring data corresponding to the first characteristic component exceeds the threshold.

[0084] Here, the set constants will vary depending on the type of sensor. For the monitored object in this embodiment, a monitored object may require multiple different types of sensors to collect data at the same time, and then use the data collected by these sensors to calculate the monitoring data. Therefore, this embodiment can calculate more accurate monitoring data through the setting of constants, and the real-time environmental characteristics will directly affect the collection and transmission of data by various sensors. Therefore, it is necessary to judge whether the monitoring data corresponding to the first characteristic component exceeds the threshold based on the second characteristic component.

[0085] Therefore, in this embodiment, when the monitoring data corresponding to the first characteristic component exceeds the threshold, the corresponding communication mode is matched for the monitoring data, and an early warning prompt message is sent to the corresponding controlled device and / or remote terminal in the communication mode.

[0086] 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 variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A chemical laboratory safety emergency intelligent platform, characterized in that: The platform includes: A monitoring object acquisition module, used to acquire the monitored objects corresponding to each chemical laboratory based on the usage characteristics of the chemical laboratory; A data monitoring module, used to obtain monitoring data corresponding to the monitored object; Environmental feature acquisition module, used to obtain real-time environmental features of chemical laboratories; A communication matching module is used to match a corresponding communication mode for a data monitoring module based on monitoring data and real-time environmental characteristics, and send the monitoring data to a data parsing module based on the matched communication mode; when the communication matching module matches a corresponding communication mode for a data monitoring module based on monitoring data and real-time environmental characteristics, the communication matching module matches a corresponding communication mode for the data monitoring module based on a mapping relationship, which is expressed as: (M→N)→Y, wherein M is the number of categories of monitoring data, N is the number of categories of real-time environmental characteristics, and Y is the category of the communication mode; A data screening module is used to slice and process each monitoring data into multiple sub-monitoring data segments according to time domain characteristics, wherein the time domain characteristics refer to: multiple time nodes when the data monitoring module obtains monitoring data corresponding to the monitored object within a specified time period; construct a monitoring data matrix according to the number of sub-monitoring data segments, including: storing multiple sub-monitoring data segments in a matrix array unit in sequence according to the sequence of the time nodes, wherein the number of the matrix array units is greater than or equal to four, and the number of rows is equal to the number of columns; and screening out the monitoring data according to a screening rule; the screening rule refers to: after the monitoring data matrix is ​​constructed, a sub-monitoring data segment stored in the matrix array unit of the first column and the last row is used as a starting point, and a sub-monitoring data segment stored in the matrix array unit of the last column and the first row is used as an end point to connect a line to construct a vector, and an average of the sub-monitoring data segments stored in each matrix array unit in the vector is taken as the screened monitoring data; A data parsing module is used to parse the screened monitoring data into a unified data format; The data processing module is used to extract the first characteristic component of the monitoring data in the unified data format, specifically: set constants for the monitoring data corresponding to each monitoring object in the chemical laboratory respectively, multiply each constant by the corresponding monitoring data in the unified data format and add them as the first characteristic component; extract the second characteristic component of the real-time environmental feature at the same time, specifically: take the average of the real-time environmental features corresponding to each time node as the second characteristic component; and input the first characteristic component and the second characteristic component into the AND gate respectively to judge whether the monitoring data in the unified data format exceeds a preset threshold, specifically: judge whether the monitoring data corresponding to the first characteristic component exceeds the threshold based on the second characteristic component; and output the judgment result through the output end of the AND gate; The early warning module is used to issue an early warning prompt according to the type of monitored object when the output judgment result indicates that the monitoring data in a unified data format exceeds a threshold value. Specifically, when the monitoring data corresponding to the first characteristic component exceeds the threshold value, the corresponding communication mode is matched for the monitoring data, and the early warning prompt information is sent to the corresponding controlled device and / or remote terminal in the communication mode.

2. A chemical laboratory safety emergency intelligent platform according to claim 1, characterized in that: If the usage characteristics of the chemical laboratory are different, the range of monitored objects corresponding to the chemical laboratory will be different; The scope of the monitored objects includes: temperature and humidity, gas, emergency response, fire electrical, access control, video, cleanliness and hazardous materials.

3. A chemical laboratory safety emergency intelligent 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, a sample room, a standardization room, a gas cylinder room, a waste storage room and a balance room; The biological laboratory obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video, cleanliness and hazardous materials; The clean laboratory obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video, cleanliness and hazardous materials; The high temperature heating chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video; The chemical analysis room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video; The instrument analysis room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control and video; The sample chamber obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, gas, emergency disposal, fire electrical, access control, video and hazardous materials; The standard room obtains the corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials; The gas cylinder room obtains the corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials; The waste storage room obtains corresponding monitored objects based on its usage characteristics, including: gas, emergency disposal, fire electrical, access control, video and hazardous materials; The balance room obtains the corresponding monitored objects based on its usage characteristics, including: temperature and humidity, emergency disposal, fire electrical, access control and video.

4. A chemical laboratory safety emergency intelligent platform according to claim 1, characterized in that: When the data monitoring module obtains 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, where M is a positive integer greater than or equal to 2; When acquiring the real-time environmental characteristics of the chemical laboratory, the environmental characteristics acquisition module divides the real-time environmental characteristics into N categories, where N is a positive integer greater than or equal to 2.

5. A chemical laboratory safety emergency intelligent platform according to claim 4, characterized in that: The platform also includes a mapping module for establishing a mapping relationship between the categories of the monitoring data and the categories of the real-time environmental characteristics corresponding to the categories, that is, M→N.

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