A multifunctional disaster situation analysis explosion-proof emergency light control system

Abstract

The present invention discloses a multifunctional disaster situation analysis explosion-proof emergency light control system, which relates to the technical field of explosion-proof lights. The system includes: a lamp control interaction network establishment module for making a partitioned and directed connection to a sensor group to establish a lamp control interaction network; a lamp control management unit construction module for constructing a lamp control management unit and distributing it to the control centers of each explosion-proof emergency light; a sensing level signal determination module for determining a sensing level signal; a lamp control strategy determination module for transmitting back and analyzing the sensing level signal to determine a lamp control strategy; and an environment adaptive control module for performing environment adaptive control on the explosion-proof emergency lights in a target control area. It solves the technical problems in the prior art that precise regional division of multiple sensors cannot be achieved and efficient dynamic control strategies are difficult to generate, resulting in insufficient disaster situation analysis accuracy and low real-time response and efficiency, and achieves the technical effects of improving the disaster situation analysis accuracy and the emergency response efficiency.

Description

Technical Field

[0001] This application relates to the technical field of explosion-proof lights, and specifically relates to a multi-functional disaster situation analysis explosion-proof emergency light control system. Background Art

[0002] In the field of disaster emergency response and protection, quickly and effectively conducting real-time monitoring of the target area and implementing emergency measures is the key to reducing disaster losses. The core of multi-functional disaster situation analysis explosion-proof emergency light control lies in realizing dynamic analysis during disasters and intelligent management of emergency lighting. Especially in special places involving flammable and explosive substances, traditional emergency lights and control systems usually have difficulty achieving flexible and efficient environmental perception and light control management while ensuring explosion-proof safety. Currently, the management of most sensor groups and emergency lights is realized separately. The sensor group is responsible for collecting environmental data, and the emergency lights are responsible for providing lighting and emergency signs, resulting in the inability to perform dynamic adjustment and control according to regional distribution, and it is difficult to generate and execute efficient strategies based on the real-time information of the sensor group, limiting the accuracy and efficiency of disaster situation analysis and making it difficult to quickly respond to changes in environmental conditions for timely rescue.

[0003] Therefore, in the current related technologies, there are technical problems such as the inability to achieve precise regional division of multiple sensors and the difficulty in generating efficient dynamic control strategies, resulting in insufficient accuracy of disaster situation analysis, low real-time response, and low efficiency. Summary of the Invention

[0004] This application provides a multi-functional disaster situation analysis explosion-proof emergency light control system, which solves the technical problems in the prior art that the precise regional division of multiple sensors cannot be achieved and it is difficult to generate efficient dynamic control strategies, resulting in insufficient accuracy of disaster situation analysis, low real-time response, and low efficiency, and achieves the technical effects of improving the accuracy of disaster situation analysis and the efficiency of emergency response.

[0005] The present application provides a multifunctional disaster analysis explosion-proof emergency light control system, the system comprising: a light control interactive network establishment module, for a target control area, with the explosion-proof emergency light as the interaction center, to partition the sensor group for directed connection, to establish a light control interactive network, wherein the sensor partition is performed based on a preset distance range based on the interaction center, the directed connection is a unidirectional connection from the sensor end to the interaction center, and the sensor group includes multiple types of sensors; a light control management unit construction module, for constructing a light control management unit based on the light control interactive network, and delegating the light control management unit to the control center of each explosion-proof emergency light, wherein the light control management unit includes a strong limit block and a coupling control block; a sensor level signal determination module, for determining a sensor level signal by staggered sampling by controlling the sensor group of the target control area; a light control strategy determination module, for transmitting the sensor level signal back and analyzing it based on the light control management unit according to the partition directed connection, to determine the light control strategy; an environment adaptive control module, for performing environment adaptive control of the explosion-proof emergency light in the target control area according to the light control strategy.

[0006] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency lighting control system also performs the following processing: traverse the N explosion-proof emergency lights in the target control area, determine N lighting control interaction networks, wherein each sensor is interactively connected to at least one explosion-proof emergency light; spatially splice the N lighting control interaction networks to generate the lighting control interaction network.

[0007] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency light control system also performs the following processing: identifying a first explosion-proof emergency light as a first interaction center, wherein the first explosion-proof emergency light is any one of the N explosion-proof emergency lights; for the first interaction center, determining a sensor distribution topology based on the preset distance range, and determining a first sensor network, wherein the first sensor network is composed of multiple types of sensors; establishing a directed interaction connection and a sensor interaction distance identifier from the first sensor network to the first interaction center, and determining a first light control interaction network, wherein the sensor interaction distance is the spatial distance from the sensor to the explosion-proof emergency light.

[0008] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency lighting control system also performs the following processing: determining the lighting control rigidity condition using the neighborhood position sensor of the explosion-proof emergency light, wherein the lighting control rigidity condition is determined using a risk sensing threshold based on a critical risk state, and the lighting control rigidity condition corresponds one-to-one to the neighborhood position sensor; constructing the strong limit block based on the lighting control rigidity condition; supervising the training of the coupling control block based on the lighting control interactive network; and determining the lighting control management unit by performing the strong limit block and the coupling control block in parallel.

[0009] In a possible implementation, the multifunctional disaster situation analysis explosion-proof emergency light control system further performs the following processing: determining a sensing interaction distance based on an interaction center, and performing coupling weight allocation, where the sensing interaction distance is positively correlated with the coupling weight; based on the coupling weight, taking multifunctional sensing coupling analysis based on partitioned directed connection as a target, performing sample-driven training, and constructing the coupling control block.

[0010] In a possible implementation, the multifunctional disaster situation analysis explosion-proof emergency light control system further performs the following processing: using the partitioned directed connection of the lamp control interaction network to transmit the sensing level signal back to the lamp control management unit built in the corresponding explosion-proof emergency light; traversing the sensing level signal to identify the neighborhood level signal; transmitting the neighborhood level signal to the strong limit block, and transmitting the sensing level signal to the coupling control block for parallel analysis to determine the first strategy and the second strategy; mutually verifying the first strategy and the second strategy, and outputting the lamp control strategy.

[0011] In a possible implementation, the multifunctional disaster situation analysis explosion-proof emergency light control system further performs the following processing: determining a first sampling rule based on the first sampling frequency of a neighborhood position sensor and the second sampling frequency of the sensor group, where the first sampling frequency is greater than the second sampling frequency; identifying the spatial distribution density of the sensor group, and performing sensing alternating sampling with a preset sensing spacing as a constraint to determine a second sampling rule; based on the first sampling rule and the second sampling rule, performing staggered sampling control on the sensor group in the target control area.

[0012] In a possible implementation, the multifunctional disaster situation analysis explosion-proof emergency light control system further performs the following processing: determining the underlying control logic of the explosion-proof emergency light and determining the parameter control conversion relationship; based on the parameter control conversion relationship, performing data format conversion on the lamp control strategy to determine the parameter control information; the parameter control information responds to the control center of the explosion-proof emergency light to perform environment-adaptive lamp control management.

[0013] A multi-functional disaster situation analysis explosion-proof emergency light control system proposed in this application, including a lamp control interaction network establishment module for making a partitioned and directed connection to a sensor group to establish a lamp control interaction network; a lamp control management unit construction module for constructing a lamp control management unit and distributing it to the control centers of each explosion-proof emergency light; a sensing level signal determination module for determining a sensing level signal; a lamp control strategy determination module for transmitting back and analyzing the sensing level signal to determine a lamp control strategy; and an environment adaptive control module for performing environment adaptive control on the explosion-proof emergency lights in a target control area. It solves the technical problems in the prior art that accurate regional division of multiple sensors cannot be achieved and it is difficult to generate an efficient dynamic control strategy, resulting in insufficient accuracy of disaster situation analysis and low real-time response and efficiency. It achieves the technical effects of improving the accuracy of disaster situation analysis and the efficiency of emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations described above or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0015] Figure 1 It is a schematic structural diagram of a multi-functional disaster situation analysis explosion-proof emergency light control system provided by an embodiment of the present application.

[0016] Figure 2 It is a schematic execution process diagram of the lamp control management unit construction module in a multi-functional disaster situation analysis explosion-proof emergency light control system provided by an embodiment of the present application.

[0017] Description of reference numerals: Lamp control interaction network establishment module 10, lamp control management unit construction module 20, sensing level signal determination module 30, lamp control strategy determination module 40, environment adaptive control module 50. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The above description is only an overview of the technical solutions of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specifically illustrates the specific embodiments of this application.

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following will further describe this application in detail with reference to the accompanying drawings. The described embodiments should not be construed as limitations on this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art of this application. The terms used herein are only for the purpose of describing the embodiments of this application.

[0021] An embodiment of this application provides a multifunctional disaster situation analysis explosion-proof emergency light control system, as Figure 1 shown. The system includes:

[0022] A lamp control interaction network establishment module 10, which is used to establish a lamp control interaction network by making a partitioned and directed connection to a sensor group with an explosion-proof emergency light as the interaction center for a target control area. Among them, sensing partitions are made based on a preset distance range centered on the interaction center, and the directed connection is a one-way connection from the sensing end to the interaction center. The sensor group includes multiple types of sensors.

[0023] Preferably, for the target control area, a lighting control interaction network with explosion-proof emergency lights as the interaction center is constructed, and a sensor group is used to perform regional monitoring and environmental adaptation control, wherein the target control area refers to the disaster area that needs to be monitored, such as industrial areas, mining areas, residential buildings and other environments that require explosion-proof and emergency lighting. Specifically, the explosion-proof emergency light serves as the interaction center, which means that each explosion-proof emergency light not only provides lighting and emergency indication functions, but also serves as a core node for data interaction and sensor control. The explosion-proof emergency light can collect, process information and respond in real time by connecting to other devices (such as sensors), and can respond to changes in sensor signals, and may adjust light intensity, color and other characteristics based on these data. The sensor group refers to multiple different types of sensors, such as temperature, humidity, gas leakage, fire, pressure and other sensors. Partitioning the sensor group with directed connection refers to partitioning according to the predicted The entire target area is divided into several sensing areas (or "partitions") according to the set distance range, area size or functional requirements, which helps to refine the data collection and sensor control to a smaller range. The sensors in each partition and the interaction center (i.e., explosion-proof emergency lights) transmit data through a one-way connection. The one-way connection means that the sensor only sends data to the interaction center and does not accept command feedback; each explosion-proof emergency light interaction center sets a preset distance range. Within this range, the sensor will divide the target area into different perception partitions according to the distance. Among them, the one-way connection from the sensor end to the interaction center means that the data collected by the sensor will be transmitted to the interaction center in one direction. The interaction center responds according to the received data, which may include adjusting the light intensity, switching modes, etc., thereby monitoring various environmental changes in the target area in real time, and intelligently adjusting the lights and alarms based on the sensor data.

[0024] The lighting control management unit construction module 20 is used to construct a lighting control management unit based on the lighting control interactive network, and to delegate the lighting control management unit to the control center of each explosion-proof emergency light, wherein the lighting control management unit includes a strong limit block and a coupling control block.

[0025] Preferably, a lighting control management unit is constructed according to the lighting control interactive network, wherein the lighting control management unit is a control unit in the entire lighting control interactive network, and is used to manage and control the explosion-proof emergency lights in the target control area, that is, it is responsible for determining the appropriate lighting control strategy based on the feedback information of the sensor group, and transmitting the strategy to the control center of each explosion-proof emergency light, so as to realize tasks such as emergency response, environmental adjustment and lighting control. Specifically, decentralizing the lighting control management unit to the control center of each explosion-proof emergency light means that the lighting control management unit does not directly control each explosion-proof emergency light, but "decentralizes" its instructions and management tasks to the local control unit equipped with each explosion-proof emergency light through a certain control mechanism (such as network protocol, signal transmission, etc.). Each explosion-proof emergency light has an independent control center, which executes instructions by communicating with the lighting control management unit, so as to realize distributed management of multiple explosion-proof lights. The lighting control management unit includes a strong limit block and a coupled control block. Specifically, the strong limit block is used The setting of management limit constraints or boundary conditions indicates that the equipment or operation behaviors in the target area will be strictly controlled and cannot exceed the preset limits. For example, the lighting intensity of explosion-proof emergency lights, the opening / closing time of lamps, etc. may be restricted by strong limit blocks to ensure that accidents caused by equipment overload or exceeding the safety range will not occur, thereby effectively preventing equipment operation abnormalities caused by environmental changes or equipment failures, and ensuring that the system is always in a safe and controllable state; the coupling control block is mainly responsible for the coordinated control and interconnection management between devices, that is, coordinating and synchronizing the control and response behaviors of multiple sensors and multiple explosion-proof emergency lights in the system. For example, in a certain area, when a sensor detects a toxic gas leak, it may not only be necessary to increase the intensity of the light, but also to enable other lamps or set different working modes simultaneously. The coupling control block can coordinate the working status of each control unit and realize the linkage control of multiple devices, thereby improving the efficiency of disaster response and regional management.

[0026] The sensor level signal determination module 30 is used to determine the sensor level signal by controlling the sensor group of the target control area to perform staggered sampling.

[0027] Preferably, the sensor group is controlled, such as enabling or disabling certain sensors, adjusting the sampling frequency of the sensors, or changing the sensitivity of the sensors, etc., to perform off-peak sampling on the target control area, that is, data is collected using different sensors at different time points, rather than all sensors sampling simultaneously, to avoid data conflicts or excessive consumption of computing resources caused by the simultaneous operation of sensors. Specifically, by staggering the sampling time, processing too much sensing data at the same moment can be avoided, and data noise can be reduced, which helps to better allocate processing tasks, and then a sensing level signal is obtained. The sensing level signal refers to the raw data or output signal obtained from the sensor, usually presented as an analog signal or a digital signal, representing the degree of environmental change monitored by the sensor. For example, for a gas sensor, the sensing level signal may be a voltage value proportional to the gas concentration; for a temperature and humidity sensor, the level signal may be proportional to the measured temperature or humidity value. Specifically, the sensor generates a signal by detecting environmental changes (such as temperature, humidity, gas concentration, etc.), and converts the signal into a level signal (i.e., a digitized or analogized output), and performs corresponding processing on these level signals such as filtering, amplification, digital conversion, etc., and finally determines the sensing level signal, which reflects the real-time change of the environment in the area, and then ensures the accuracy of disaster situation analysis.

[0028] The lamp control strategy determination module 40 is configured to perform feedback of the sensing level signal and analysis based on the lamp control management unit according to the partitioned directed connection, and determine the lamp control strategy.

[0029] Preferably, the sensing level signals are fed back according to the partitioned directed connection. The sensor is responsible for collecting environmental data (such as gas concentration, temperature, humidity, smoke concentration, etc.) within the area, generating sensing level signals (signals generated by the sensor according to the environmental changes it senses, such as temperature, gas concentration, etc.), and transmitting the data to the interaction center (explosion-proof emergency light) through the directed connection. Here, feedback means sending these sensing level signals from the sensor to the control center (i.e., transmitting to the lamp control management unit) through the network. The lamp control management unit is responsible for analyzing the fed-back sensing level signals, judging the abnormal state of the target area environment based on the changes in these signals (such as exceeding the preset threshold), and deciding whether to adopt corresponding lamp control strategies. During the analysis process, the lamp control management unit can use different algorithms and strategies (such as threshold judgment, pattern recognition, data filtering, etc.) to process the fed-back sensing data. For example, if the signal fed back by the gas sensor indicates that the gas concentration exceeds the safety threshold, the lamp control management unit may trigger the emergency lighting mode or the alarm mode. The lamp control strategy refers to formulating how to control the working mode of the explosion-proof emergency light based on the data fed back by the sensor and the analysis results of the lamp control management unit, ensuring that the explosion-proof emergency light can adjust its state in a timely manner under different environmental conditions to improve the regional safety and emergency response efficiency. Specifically, the lamp control strategy may include safety warning. When a certain sensor detects a dangerous environment (such as too high smoke or toxic gas concentration), the lamp control strategy can send a warning signal by controlling the flashing or color change of the lamp; staggered control. Based on the partition and staggered sampling of the sensor group, the lamp control management unit can control the lamps in different areas at different time periods to ensure that each area can obtain appropriate lighting and warnings according to the real-time environmental changes; environmental adaptive control. Automatically adjust the brightness, flashing mode, switch state, etc. of the lamp according to the sensor data (such as temperature, gas concentration, etc.). For example, when a gas leak occurs, adjust the brightness or mode of the lamp to indicate evacuation as soon as possible; thus, it can dynamically respond to environmental changes and improve the efficiency of disaster management and emergency response.

[0030] The environmental adaptive control module 50 is used to perform environmental adaptive control on the explosion-proof emergency lights in the target control area according to the lamp control strategy.

[0031] Preferably, environment - adaptive control refers to the behavior of being able to monitor the environmental conditions in real - time and automatically adjust the lights to adapt to various changing conditions, ensuring that the emergency lights can play the best role in different scenarios. Specifically, based on the environmental data transmitted back by sensors (such as gas concentration, temperature and humidity, smoke concentration, etc.), the behavior of the explosion - proof emergency lights (such as brightness, mode, switch, etc.) is dynamically adjusted, so that the emergency lights always maintain the working state most suitable for the current environment. This not only improves the flexibility and intelligence of the system, but also can provide effective guidance and warning through the lights in case of emergencies. The light control strategy includes the specific control modes of the explosion - proof emergency lights. For example, if the sensor detects a toxic gas leak, the light control strategy can automatically switch the flashing mode of the lights or change the color of the lights to attract people's attention and prompt evacuation; if the temperature is too high, it may trigger a high - temperature alarm and issue a warning by increasing the brightness of the lights; in a fire scene, the color of the lights is changed according to the data of the smoke sensor (such as turning red), and the brightness is controlled to guide people to evacuate safely; by carrying out environment - adaptive control on the explosion - proof emergency lights, it can quickly respond to environmental changes, automatically adjust the working state of the lights according to real - time data, provide more effective emergency lighting and guidance. Through flexible light control, it can guide people to evacuate quickly through the lights in case of emergencies such as fires and gas leaks, reduce the risks during accidents, not only improve the efficiency of emergency response, but also reduce energy waste, and further improve the flexibility of the system.

[0032] A multi - functional disaster - situation analysis explosion - proof emergency light control system according to an embodiment of the present invention is used to solve the technical problems in the prior art that it is impossible to achieve accurate regional division of multiple sensors and it is difficult to generate an efficient dynamic control strategy, resulting in insufficient accuracy of disaster - situation analysis, low real - time response and efficiency. It achieves the technical effects of improving the accuracy of disaster - situation analysis and the efficiency of emergency response. A multi - functional disaster - situation analysis explosion - proof emergency light control system includes: a lamp control interaction network establishment module 10, a lamp control management unit construction module 20, a sensing level signal determination module 30, a lamp control strategy determination module 40, and an environment - adaptive control module 50.

[0033] Next, the specific configuration of the lamp control interaction network establishment module 10 will be described in detail. The lamp control interaction network establishment module 10 may further include: traversing N explosion - proof emergency lights in the target control area to determine N lamp control interaction networks, where each sensor is interactively connected to at least one explosion - proof emergency light; performing spatial splicing on the N lamp control interaction networks to generate the lamp control interaction network.

[0034] Preferably, there are N explosion-proof emergency lights in the target control area, where N is a positive integer greater than 1, indicating that there are multiple explosion-proof emergency lights. Each explosion-proof emergency light is not only a lighting device but also an interaction and control node in the entire lighting control system. These lights are managed and controlled one by one. Each explosion-proof emergency light is interconnected with a certain number of sensor groups to form an independent lighting control interaction network, that is, a communication and data interaction network between the explosion-proof emergency light and its corresponding sensor group. The sensors are responsible for environmental monitoring (such as temperature, gas concentration, smoke, etc.) and transmit the data to the lighting control management unit, which adjusts the emergency lights. The interactive connection refers to the data flow and interaction of control instructions between the sensors and the explosion-proof emergency lights. Each sensor (such as a temperature sensor, gas sensor, smoke sensor, etc.) is "interactively connected" to at least one explosion-proof emergency light to ensure that the monitoring results of each sensor can affect the working state of the lights, and then N lighting control interaction networks are obtained; then, the N lighting control interaction networks are spatially spliced, that is, these independent lighting control interaction networks are integrated into a lighting control interaction network. Specifically, multiple lighting control interaction networks can be integrated through directed connections, data transmission protocols, wireless communication, etc. to cover the entire target control area. Each explosion-proof emergency light can automatically adjust lighting, warning, or other emergency behaviors according to local or remote sensing data (such as temperature, gas concentration, smoke, etc.), which not only enhances the flexibility of the system but also efficiently coordinates the lighting control in different areas, thus providing a faster and more accurate emergency response in case of an emergency.

[0035] Next, the specific configuration of the lighting control interaction network establishment module 10 will be further described in detail. The lighting control interaction network establishment module 10 may further include: identifying a first explosion-proof emergency light as the first interaction center, where the first explosion-proof emergency light is any one of the N explosion-proof emergency lights; for the first interaction center, determining the sensor distribution topology based on the preset distance range, determining a first sensing network, where the first sensing network is composed of multiple types of sensors; establishing a directed interaction connection and a sensing interaction distance identifier from the first sensing network to the first interaction center, and determining a first lighting control interaction network, where the sensing interaction distance is the spatial distance from the sensor to the explosion-proof emergency light.

[0036] Preferably, the first explosion-proof emergency light is any one of the N explosion-proof emergency lights in the target control area. As the first interaction center, that is, the center point for data aggregation and instruction distribution, it not only receives the data transmitted back by the sensor group, but also is responsible for controlling the lighting behavior within its range according to this data. Then, taking the first interaction center as the base point, a fixed radius (such as several meters to dozens of meters) is set. The sensors within this range will be included in the management scope of this interaction center. Then, according to the preset distance range, the spatial distribution of all sensors within this range is mapped and modeled, that is, the actual distribution positions of each sensor in the physical space are converted into recognizable sensor distribution topologies to describe the spatial relationship between sensors, the data interaction path, and the coupling strength with the interaction center. Specifically, taking the first interaction center as the center of the circle and the preset distance range as the radius, and considering the signal strength and transmission delay (to ensure that sensor data can be stably transmitted to the interaction center), an effective coverage area within the monitoring range is formed. Then, the spatial coordinates (x, y, z) of the sensors are obtained through the GPS coordinates of the sensors or the local positioning system (such as UWB, BLE). Taking the first interaction center as the origin (0, 0), a coordinate system is established, and all sensors are mapped into this coordinate system to generate a spatial distribution. Then, the Euclidean distance between each sensor and its interaction center is calculated, , where, ( ) is the position of the sensor, ( ) is the position of the first interaction center. Then, the sensors with a distance greater than the preset distance range are excluded, and the remaining sensors are used as effective sensors; taking the sensors and the first interaction center as nodes, and the data interaction path between the sensors and the interaction center as edges, and assigning weights to each edge according to factors such as the distance from the sensor to the interaction center, data importance, and transmission delay, a sensor topology network is constructed. For example, assume that 5 sensors (S1, S2, S3, S4, S5) and 1 interaction center (C1) are arranged, and their spatial coordinates and connection relationships are shown in Table 1:

[0037] Table 1 Spatial coordinates and connection relationships of sensors and interaction centers

[0038] Node Type Coordinate Connected node C1 Interaction center （0，0） S1, S2, S3, S4, S5 S1 Smoke sensor （3，4） C1 S2 Gas sensor （7，1） C1 S3 Temperature sensor （5，8） C1 S4 Infrared sensor （10，2） C1 S5 Humidity sensor （12，6） C1

[0039] The distances between the sensors (S1, S2, S3, S4, S5) and the interaction center are calculated using the Euclidean distance formula as (5, 7.07, 9.43, 10.2, 13.42) respectively. Then weights are set. For example, the transmission weights are defined based on the reciprocal of the distance. The larger the weight, the more reliable the data and the higher the priority. The weights are 0.2, 0.14, 0.11, 0.098, 0.074 respectively. The highest weight of S1 indicates that its data has the highest priority, and the lowest weight of S5 indicates that its data may have signal delay due to the far distance and relatively low priority. Finally, the sensor topology network is optimized through graph theory algorithms (such as the minimum spanning tree algorithm, shortest path algorithm) or machine learning models (such as K-means clustering, neural network optimization) to reduce data delay and energy consumption, and finally determine the first sensing network, and then determine which sensors belong to the management scope of this interaction center.

[0040] Preferably, a directed interaction connection from the first sensing network to the first interaction center is established, that is, the data transmission from the sensor to the interaction center is unidirectional, and the data flows from the sensor to the first interaction center. The sensing interaction distance identifier refers to the distance between each sensor and the first interaction center (explosion-proof emergency light). By assigning an interaction distance identifier to each sensor, the spatial relationship between the sensor and the interaction center can be quantified. For example, the sensor layout can be planned (such as adding relay devices for sensors with too far distances), and the priority can be determined (such as giving priority to processing data from closer sensors to improve the response speed), and then the first lamp control interaction network is determined, including the first interaction center (the first explosion-proof emergency light), the surrounding sensors and their connection relationships with the interaction center, as well as the functions, data types and interaction distances of each sensor, so as to be able to efficiently sense environmental changes and dynamically adjust the control strategy of the lamps, thereby enhancing the safety and response ability in the area.

[0041] Next, the specific configuration of the lamp control management unit construction module 20 will be described in detail. As Figure 2 shown, the lamp control management unit construction module 20 may further include: determining the lamp control rigid conditions with the neighborhood position sensors of the explosion-proof emergency light, where the lamp control rigid conditions are determined based on the risk sensing threshold of the risk critical state, and the lamp control rigid conditions correspond one-to-one with the neighborhood position sensors; constructing the strong limit block based on the lamp control rigid conditions; supervising and training the coupling control block according to the lamp control interaction network; paralleling the strong limit block and the coupling control block to determine the lamp control management unit.

[0042] Preferably, a neighborhood position sensor of the explosion-proof emergency light determines the lamp control rigid conditions. Here, the neighborhood position sensor refers to a sensor located within a certain range around the explosion-proof emergency light, which is used to monitor environmental conditions (such as gas concentration, temperature, humidity, smoke, etc.) and feed back data to the lamp control management system. The risk sensing threshold in the risk critical state determines the lamp control rigid conditions. The lamp control rigid conditions mean that the control of the lamp needs to meet certain hard conditions. For example, under specific environmental conditions, the explosion-proof emergency light must maintain a certain state or limit its adjustment range. The several nearby sensors are the most capable of reflecting the environmental state. Rigid limit means that as long as the data of one of these sensors exceeds the limit, direct lamp control management and alarm are carried out; among them, the risk critical state refers to certain specific dangerous states. When the environmental conditions exceed a certain threshold, it may lead to safety accidents (such as fires, gas leaks, etc.). The risk sensing threshold is a critical value set for each sensor to determine whether the environment is in a risk critical state. Whenever the signal detected by the sensor exceeds this threshold, the system is considered to be in a high-risk state, and the lighting control strategy needs to conform to the lamp control rigid conditions, and the lamp control rigid conditions correspond one-to-one with the neighborhood position sensors, that is, each sensor defines different lamp control rigid conditions according to its physical position (such as the distance from the explosion-proof emergency light) and different environmental changes.

[0043] Preferably, according to the determined lamp control rigid conditions, these conditions are converted into specific hard restrictions and incorporated into the control logic of the system to ensure that under various environmental conditions or emergency situations, the explosion-proof emergency light will not lose its response ability to environmental risks and the behavior of the light will not deviate from the preset safety range; then, according to the lamp control interaction network, the coupled control block is supervised and trained so that it can make the best decision according to different environmental conditions and sensing data. For example, in some cases, multiple sensors may detect problems (such as gas leaks) at the same time, and it is necessary to coordinate the data of these sensors and make reasonable lighting control decisions to ensure that the lighting responses in the whole area are consistent and reasonable; finally, the strong limit block and the coupled control block are processed in parallel to determine the lamp control management unit. The strong limit block is responsible for rigidly restricting the behavior of the light, while the coupled control block is responsible for coordinating the lighting behavior in different areas. The lamp control management unit is ultimately responsible for formulating the lighting control strategy based on the sensor data and the lamp control rigid conditions and scheduling the states of each explosion-proof emergency light to ensure that the emergency system can respond in time and execute emergency control tasks to ensure the disaster response efficiency.

[0044] Next, the specific configuration of the lamp control management unit construction module 20 will be further described in detail. The lamp control management unit construction module 20 may further include: determining the sensing interaction distance based on the interaction center, and performing coupling weight allocation, where the sensing interaction distance is positively correlated with the coupling weight; based on the coupling weight, aiming at the multi-functional sensing coupling analysis based on partitioned directed connection, performing sample-driven training to construct the coupling control block.

[0045] Preferably, determine the distance from the sensor to the interaction center (explosion-proof emergency lamp), which will affect the signal strength, data transmission delay, and control efficiency between the sensor and the interaction center, and assign different weights to different sensors according to this interaction distance. Among them, the sensing interaction distance is positively correlated with the coupling weight, indicating that the closer the sensor is to the interaction center, the greater the coupling weight. Conversely, the farther the distance, the smaller the coupling weight. Specifically, use to calculate the weight, where represents the coupling weight of the i-th sensor, represents the distance between the sensor and the interaction center, and k is a constant used to adjust the scale of the coupling weight (such as k = 1), is a small value to prevent zero storage error (such as 0.01). An exemplary coupling weight is shown in Table 2:

[0046] Table 2 Sensor coupling weights

[0047] Sensor <![CDATA[Distance d i (m)]]> <![CDATA[Coupling weight W i > S1 2 0.4975 S2 5 0.1996 S3 10 0.0999 S4 20 0.0499

[0048] In this way, it is possible to adjust the data contribution degree of each sensor according to the spatial position, signal quality of the sensor, and the degree of influence on the lighting control, so as to achieve more precise control; the partitioned directed connection means dividing the target area into multiple sub-areas, and configuring corresponding sensors and explosion-proof emergency lights for each sub-area. The multi-functional sensor coupling analysis refers to analyzing the mutual relationship between these different sensors and how they jointly affect the control behavior of the interaction center (explosion-proof emergency light). Then, through a large amount of historical data (i.e., sample data), a model is trained based on a convolutional neural network, enabling the system to automatically adjust the control strategy by learning the relationship between sensor data and lighting control behavior in historical scenarios. Specifically, during the training process, through different environmental data samples (such as changes in temperature, gas leakage, smoke concentration, etc.), sensor data is sampled in chronological order and mapped into a two-dimensional matrix according to the sensor positions. The data set is divided (70% for the training set, 15% for the validation set, and 15% for the test set). Then, the historical lighting control behaviors (such as brightness, flashing state) are used as training labels. For example, 0 represents maintaining the current lighting state, and 1 represents adjusting the lighting brightness or turning on the alarm mode; then, a convolutional neural network combined with a long short-term memory network LSTM (a special recurrent neural network used to process and predict long-term dependencies in sequence data, suitable for complex dynamic environments such as multi-functional sensor data analysis and intelligent lighting control strategy decision-making) can both extract local features and capture long-term dependencies in the time series. Among them, the input dimension is (m, n), where m is the time step and n is the number of sensors. The filter of the convolutional layer is 64, and the convolutional kernel size is 3, which is used to extract local time features and capture short-term data fluctuations. The pooling layer size is 2 to reduce the feature dimension and computational complexity. The number of units in the LSTM layer is 128, which is used to capture long-term dependencies in the data and adapt to the dynamic changes of time series data. The number of neurons in the fully connected layer is 64, and the number of neurons in the output layer is 1, representing the final lighting control decision, such as on / off, brightness adjustment, etc. Set the model training hyperparameters, including the batch size, learning rate, number of iterations, and regularization parameters to prevent overfitting. Exemplarily, set the batch size to 32, set the learning rate to 0.001, set the number of iterations to 70 - 80 times, and set the regularization parameter to prevent overfitting to 0.3; then perform model training to learn how to adjust behaviors such as lighting brightness and flashing frequency, and then construct a coupling control block responsible for comprehensively analyzing the data of each sensor and making decisions based on the coupling weights, that is, coordinating the behavior of the lights according to the input of the sensors (and their weights) and the control strategy to ensure that the emergency lights can provide correct responses in various emergency situations.

[0049] Next, the specific configuration of the lighting control strategy determination module 40 will be described in detail. The lighting control strategy determination module 40 may further include: returning the sensing level signal to the lighting control management unit built in the corresponding explosion-proof emergency light through the partitioned directed connection of the lighting control interaction network; traversing the sensing level signals to identify the neighborhood level signals; transmitting the neighborhood level signals to the strong limit block and the sensing level signals to the coupling control block for parallel analysis to determine the first strategy and the second strategy; mutually verifying the first strategy and the second strategy, and outputting the lighting control strategy.

[0050] Preferably, according to the partitioned directed connection of the lighting control interaction network, the collected environmental data (i.e., the sensing level signal) is transmitted to the lighting control management unit built in the affiliated explosion-proof emergency light. Among them, the target area is divided into multiple sub-areas, and a directed data connection is set between the corresponding sensors and the explosion-proof emergency lights in each sub-area. Then, all the sensing level signals of the sensors are traversed, the environmental data collected by each sensor is analyzed, and other level signals in the area near each sensor (i.e., the neighborhood) are identified; then the neighborhood level signals are transmitted to the strong limit block and the sensing level signals are transmitted to the coupling control block for parallel analysis, that is, to determine whether mandatory adjustment of the lighting behavior is required to ensure that the lighting behavior does not deviate from the preset safety range, analyze the data of multiple sensors (including neighborhood signals), and perform intelligent analysis to formulate the most suitable lighting control strategy, that is, determine the first strategy and the second strategy. Finally, the first strategy and the second strategy are mutually verified to ensure the coordination of the two strategies and avoid conflicts between them. For example, if the sampling frequencies are different, targeted analysis of the blocks is performed on the real-time sensing data. When there is a collision between the two, the outputs of the two are verified, that is, the general control directions should be the same; finally, the lighting control strategy is output, which determines the operations that the explosion-proof emergency light should perform under specific environmental conditions, ensuring that the lighting control system can flexibly and accurately respond to various environmental conditions, thereby providing safe and effective emergency lighting and warning functions.

[0051] Next, the specific configuration of the sensing level signal determination module 30 will be described in detail. The sensing level signal determination module 30 may further include: determining a first sampling rule based on the first sampling frequency of the neighborhood position sensor and the second sampling frequency of the sensor group, where the first sampling frequency is greater than the second sampling frequency; identifying the spatial distribution density of the sensor group, and performing sensing alternating sampling with a preset sensing spacing as a constraint to determine a second sampling rule; performing staggered sampling control on the sensor group in the target control area based on the first sampling rule and the second sampling rule.

[0052] Preferably, the first sampling frequency refers to the data acquisition frequency of the neighborhood position sensor, which is usually high to quickly respond to changes in the neighborhood environment. The second sampling frequency refers to the sampling frequency of the entire sensor group (including sensors at a relatively long distance), which is usually low to reduce the computational burden and power consumption of the overall system, ensuring that the key data of the neighborhood position is processed preferentially, while the data acquisition of the long-distance sensors can be slightly delayed to optimize resource allocation. By combining the high-frequency sampling of the neighborhood position sensor and the low-frequency sampling of the sensor group, a first sampling rule is formed to improve the data acquisition accuracy of the key area (neighborhood) and reduce the sampling frequency of the non-critical area, thereby reducing the occupancy of system resources; identifying the spatial distribution density of the sensor group, that is, the distribution of sensors in the target control area. For example, a higher sensor density in some areas may lead to data redundancy; while in areas with a lower density, there may be monitoring blind spots; a preset sensing distance is used to constrain the sampling interval. In high-density areas, through an alternating sampling method, different sensors collect data at different time points to avoid data conflicts or redundancies caused by multiple sensors sampling simultaneously, improving the sampling efficiency and reducing unnecessary data processing, thus forming a second sampling rule; finally, staggered sampling control is performed on the sensor group in the target control area, that is, according to the first sampling rule and the second sampling rule, different sampling time points are set for different sensors to avoid all sensors sampling simultaneously, reducing redundant data and improving the accuracy and response speed of environmental monitoring.

[0053] Next, the specific configuration of the environment adaptive control module 50 will be described in detail. The environment adaptive control module 50 may further include: determining the underlying control logic of the explosion-proof emergency light and determining the parameter control conversion relationship; based on the parameter control conversion relationship, performing data format conversion on the lamp control strategy to determine the parameter control information; the parameter control information responds to the control center of the explosion-proof emergency light to perform environment adaptive lamp control management.

[0054] Preferably, determine the underlying control logic of the explosion-proof emergency light, that is, determine the basic control rules, including but not limited to how to respond to environmental data, how to adjust the light brightness, mode, etc. according to sensor inputs. For example, if the gas sensor detects that the concentration of a certain gas exceeds the standard, the underlying control logic will determine whether the explosion-proof emergency light should be turned on, adjust the brightness, or switch to a flashing mode. Then determine the parameter-control conversion relationship, that is, determine the relationship mapping between sensor data (parameter) and lamp control operations (control), which may include threshold judgment of sensor data (such as temperature, humidity, gas concentration, etc.), and mapping the range of sensor data to the behavior of the lamp (such as the brightness, mode of the lamp, etc.); then according to the parameter-control conversion relationship, perform data format conversion on the lamp control strategy so that it can interact smoothly in the lamp control management system, determine the parameter-control information, ensure that the system can understand the data from different sensors, and convert these data into instructions that the lamp control management system can process and execute; finally, the obtained parameter-control information is responsive to the control center of the explosion-proof emergency light, that is, the explosion-proof emergency light adjusts its working state, such as turning on / off the light, adjusting the brightness, switching the light mode, etc. according to the data from the sensors, the lamp control strategy and the parameter-control information, and can automatically adjust the light behavior according to the changes in environmental conditions. In this way, the lighting control system can respond to environmental changes in real time, ensure that the lights provide appropriate lighting and warning functions in emergency situations, and thus improve the accuracy of disaster situation analysis and response efficiency.

[0055] Although this application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0056] The above specific implementation manners do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. A multifunctional disaster analysis explosion-proof emergency lighting control system, characterized in that: The system comprises: A light control interactive network establishment module is used to establish a light control interactive network for the target control area, with the explosion-proof emergency light as the interactive center, partitioning the sensor group and connecting them in a directed manner, wherein the sensor partitioning is performed based on a preset distance range based on the interactive center, and the directed connection is a unidirectional connection from the sensor end to the interactive center, and the sensor group includes multiple types of sensors; A lighting control management unit construction module is used to construct a lighting control management unit based on the lighting control interactive network, and to delegate the lighting control management unit to the control center of each explosion-proof emergency light, wherein the lighting control management unit includes a strong limit block and a coupling control block; A sensor level signal determination module, used to determine a sensor level signal by controlling the sensor group of the target control area to perform staggered sampling; A light control strategy determination module, used to return the sensing level signal according to the partition directed connection and determine the light control strategy based on the analysis of the light control management unit; An environmental adaptive control module, used to perform environmental adaptive control on the explosion-proof emergency lights in the target control area according to the light control strategy; The lighting control management unit building module includes: A light control rigidity condition determination unit, used to determine the light control rigidity condition by using a neighborhood position sensor of the explosion-proof emergency light, wherein the light control rigidity condition is determined by using a risk sensing threshold based on a risk critical state, and the light control rigidity condition corresponds to the neighborhood position sensor one by one; A strong limit block construction unit, used to construct the strong limit block based on the light control rigidity condition; A coupling control block training unit, used for supervising the training of the coupling control block according to the lighting control interaction network; A block parallel unit, used for parallelizing the strong limit block and the coupling control block to determine the light control management unit; The sensing level signal determination module comprises: A first sampling rule determining unit, configured to determine a first sampling rule based on a first sampling frequency of a neighborhood position sensor and a second sampling frequency of the sensor group, wherein the first sampling frequency is greater than the second sampling frequency; A second sampling rule determination unit, configured to identify the spatial distribution density of the sensor group, perform sensor alternating sampling with a preset sensing interval as a constraint, and determine a second sampling rule; A staggered sampling control unit is used to perform staggered sampling control on the sensor group of the target control area based on the first sampling rule and the second sampling rule.

2. A multifunctional disaster analysis explosion-proof emergency lighting control system as claimed in claim 1, characterized in that: The lighting control interactive network establishment module includes: An explosion-proof emergency light traversal unit, used to traverse N explosion-proof emergency lights in the target control area and determine N light control interactive networks, wherein each sensor is interactively connected with at least one explosion-proof emergency light; The spatial splicing unit is used to spatially splice the N lighting control interaction networks to generate the lighting control interaction network.

3. A multifunctional disaster analysis explosion-proof emergency light control system as claimed in claim 2, characterized in that: The lighting control interactive network establishment module includes: A first explosion-proof emergency light identification unit, used to identify a first explosion-proof emergency light as a first interaction center, wherein the first explosion-proof emergency light is any one of the N explosion-proof emergency lights; A first sensor network determining unit, configured to determine, for the first interaction center, a sensor distribution topology based on the preset distance range, and determine a first sensor network, wherein the first sensor network is composed of multiple types of sensors; The sensor interaction distance identification establishing unit is used to establish a directed interaction connection and a sensor interaction distance identification from the first sensor network to the first interaction center, and determine the first lighting control interaction network, wherein the sensor interaction distance is the spatial distance from the sensor to the explosion-proof emergency light.

4. The multifunctional disaster analysis explosion-proof emergency light control system according to claim 1, characterized in that: The lighting control management unit building module includes: A coupling weight allocation unit, used to determine a sensing interaction distance based on an interaction center and to allocate coupling weights, wherein the sensing interaction distance is positively correlated with the coupling weight; The sample driven training unit is used to perform sample driven training based on the coupling weight and take the multifunctional sensor coupling analysis based on partitioned directed connection as the goal to construct the coupling control block.

5. The multifunctional disaster analysis explosion-proof emergency light control system according to claim 1, characterized in that: The lighting control strategy determination module includes: A signal feedback unit, used to transmit the sensor level signal back to the built-in lighting control management unit of the corresponding explosion-proof emergency light through the partitioned directed connection of the lighting control interactive network; A neighborhood level signal identification unit, used to traverse the sensing level signal and identify a neighborhood level signal; A parallel analysis unit, used to transmit the neighborhood level signal to the strong limit block, transmit the sensing level signal to the coupling control block, perform parallel analysis, and determine the first strategy and the second strategy; The mutual verification unit is used to verify the first strategy and the second strategy and output the lighting control strategy.

6. The multifunctional disaster analysis explosion-proof emergency light control system according to claim 1, characterized in that: The environment adaptive control module includes: A parameter-control conversion relationship determination unit, used to determine the underlying control logic of the explosion-proof emergency light and determine the parameter-control conversion relationship; A data format conversion unit, configured to perform data format conversion on the lighting control strategy based on the parameter control conversion relationship to determine parameter control information; The parameter control information response unit is used to respond to the parameter control information of the explosion-proof emergency light control center to perform environment adaptive lighting control management.

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