Multifunctional disaster analysis explosion-proof emergency lamp management and control system

Abstract

The invention discloses a multifunctional disaster analysis explosion-proof emergency lamp management and control system, and relates to the technical field of explosion-proof lamps, and the system comprises a lamp control interaction network building module which is used for carrying out the partition directed connection of a sensor group, and building a lamp control interaction network; the lamp control management unit construction module is used for constructing a lamp control management unit and lowering the lamp control management unit to a control center of each explosion-proof emergency lamp; the sensing level signal determination module is used for determining a sensing level signal; the lamp control strategy determination module is used for returning and analyzing the sensing level signal and determining a lamp control strategy; and the environment self-adaptive management and control module is used for performing environment self-adaptive management and control on the explosion-proof emergency lamp in the target management and control area. The technical problems that in the prior art, accurate region division of multiple sensors cannot be achieved, an efficient dynamic management and control strategy is difficult to generate, consequently, disaster situation analysis precision is insufficient, and response real-time performance and efficiency are not high are solved, and the technical effects of improving disaster situation analysis precision and improving emergency response efficiency are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to explosion-proof lamps, and specifically to a multifunctional disaster analysis explosion-proof emergency lamp management and control system. Background Art

[0002] In the field of disaster emergency response and protection, fast and effective real-time monitoring of target areas and implementation of emergency measures are the key to reducing disaster losses. The core of multifunctional disaster analysis explosion-proof emergency lighting control lies in the realization of dynamic analysis of disasters and intelligent management of emergency lighting. Especially in special places involving flammable and explosive materials, traditional emergency lights and control systems are usually difficult to achieve flexible and efficient environmental perception and lighting control while ensuring explosion-proof safety. Currently, the management of sensor groups and emergency lights is mostly implemented separately. The sensor group is responsible for collecting environmental data, and the emergency lights are responsible for providing lighting and emergency signs, which makes it impossible to dynamically adjust 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, which limits the accuracy and efficiency of disaster analysis and makes it difficult to quickly respond to changes in environmental conditions and conduct timely rescue.

[0003] Therefore, at the current stage, relevant technologies have the technical problems of being unable to achieve accurate regional division of multiple sensors and difficult to generate efficient dynamic control strategies, resulting in insufficient accuracy of disaster analysis, low real-time response and low efficiency. Summary of the invention

[0004] This application provides a multifunctional disaster analysis explosion-proof emergency lighting control system to solve the technical problems in the prior art that it is impossible to achieve accurate regional division of multiple sensors and difficult to generate efficient dynamic control strategies, resulting in insufficient disaster analysis accuracy, low response time and efficiency, thereby achieving the technical effect of improving the accuracy of disaster analysis and improving emergency response efficiency.

[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 analysis explosion-proof emergency lighting control system also performs the following processing: determining the sensor interaction distance based on the interaction center, and allocating coupling weights, wherein the sensor interaction distance is positively correlated with the coupling weight; based on the coupling weights, with the multifunctional sensor coupling analysis based on partitioned directed connections as the goal, sample-driven training is performed to construct the coupling control block.

[0010] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency lighting control system also performs the following processing: using the partitioned directed connection of the lighting control interactive network, the sensor level signal is transmitted back to the lighting control management unit built into the corresponding explosion-proof emergency light; the sensor level signal is traversed to identify the neighborhood level signal; the neighborhood level signal is transmitted to the strong limit block, and the sensor level signal is transmitted to the coupling control block, and parallel analysis is performed to determine the first strategy and the second strategy; the first strategy and the second strategy are mutually verified, and the lighting control strategy is output.

[0011] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency lighting control system also performs the following processing: determining 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; identifying the spatial distribution density of the sensor group, performing alternating sensor sampling with a preset sensor spacing as a constraint, and determining a second sampling rule; and performing staggered sampling control on the sensor group in the target control area based on the first sampling rule and the second sampling rule.

[0012] In a possible implementation, the multifunctional disaster analysis explosion-proof emergency lighting control system also 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 lighting control strategy and determining the parameter control information; the parameter control information responds to the control center of the explosion-proof emergency light to perform environmental adaptive lighting control management.

[0013] The multifunctional disaster analysis explosion-proof emergency lighting control system proposed in this application includes a lighting control interactive network establishment module, which is used to partition the sensor group and connect it in a directed manner to establish a lighting control interactive network; a lighting control management unit construction module, which is used to build a lighting control management unit and delegate it to the control center of each explosion-proof emergency light; a sensor level signal determination module, which is used to determine the sensor level signal; a lighting control strategy determination module, which is used to transmit and analyze the sensor level signal to determine the lighting control strategy; and an environmental adaptive control module, which is used to perform environmental adaptive control of the explosion-proof emergency lights in the target control area. The technical problems existing in the prior art, such as the inability to achieve accurate regional division of multiple sensors and the difficulty in generating efficient dynamic control strategies, which lead to insufficient disaster analysis accuracy, low response time and efficiency, are solved, and the technical effect of improving the accuracy of disaster analysis and the efficiency of emergency response is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of a multifunctional disaster analysis explosion-proof emergency lighting control system provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of the execution process of a lighting control management unit construction module in a multifunctional disaster analysis explosion-proof emergency lighting management and control system provided in an embodiment of the present application.

[0017] Explanation of the reference numerals: lighting control interactive network establishing module 10 , lighting control management unit constructing module 20 , sensor level signal determining module 30 , lighting control strategy determining module 40 , environment adaptive control module 50 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are 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, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a multifunctional disaster analysis explosion-proof emergency light control system, such as Figure 1 As shown, the system comprises: The lighting control interactive network establishment module 10 is used to establish a lighting control interactive network for the target control area, with the explosion-proof emergency light as the interaction center, and to partition the sensor group for directed connection, wherein the sensor partition is performed based on a preset distance range based on the interaction center, and the directed connection is a unidirectional connection from the sensor end to the interaction center, and the sensor group includes multiple types of sensors.

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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.

[0026] Preferably, the sensor group is controlled, such as enabling or disabling certain sensors, adjusting the sampling frequency of the sensor, or changing the sensitivity of the sensor, etc., to perform staggered sampling of the target control area, that is, by using different sensors to collect data at different time points instead of sampling all sensors at the same time, data conflicts or excessive computing resource consumption caused by the simultaneous operation of sensors are avoided. Specifically, by staggering the sampling time, too much sensor data is avoided from being processed at the same time, and data noise can be reduced, which helps to better allocate processing tasks, thereby obtaining a sensor level signal. The sensor level signal refers to the raw data or output signal obtained from the sensor, usually expressed as an analog signal or a digital signal, indicating the degree of environmental change monitored by the sensor. For example, for a gas sensor, the sensor 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 digital or analog output), and performs corresponding processing on these level signals such as filtering, amplification, digital conversion, etc., and finally determines the sensor level signal, which reflects the real-time changes in the environment in the area, thereby ensuring the accuracy of disaster analysis.

[0027] The lighting control strategy determination module 40 is used to transmit back the sensing level signal according to the partition directed connection and determine the lighting control strategy based on the analysis of the lighting control management unit.

[0028] Preferably, the sensor level signal is transmitted back according to the partition directed connection. The sensor is responsible for collecting environmental data in the area (such as gas concentration, temperature, humidity, smoke concentration, etc.), generating a sensor level signal (a signal generated by the sensor based on the environmental changes it perceives, such as temperature, gas concentration, etc.), and transmitting the data to the interaction center (explosion-proof emergency light) through a directed connection. The transmission refers to sending these sensor level signals from the sensor to the control center through the network (i.e., transmitting them to the lighting control management unit). The lighting control management unit is responsible for analyzing the transmitted sensor level signals, judging the abnormal state of the target area environment according to the changes in these signals (such as exceeding a preset threshold), and deciding whether to adopt a corresponding lighting control strategy. During the analysis process, the lighting control management unit can use different algorithms and strategies (such as threshold judgment, pattern recognition, data filtering, etc.) to process the transmitted sensor data. For example, if the signal transmitted back by the gas sensor indicates that the gas concentration exceeds the safety threshold, the lighting control management unit may trigger an emergency lighting mode or an alarm mode. ,The lighting control strategy refers to the work mode of controlling the explosion-proof emergency lights based on the data sent back by the sensors and the analysis results of the lighting control management unit, ensuring that the explosion-proof emergency lights can adjust their status in a timely manner under different environmental conditions to improve regional safety and emergency response efficiency. Specifically, the lighting control strategy may include safety warnings. When a sensor detects a dangerous environment (such as excessive smoke or toxic gas concentration), the lighting control strategy can send out a warning signal by controlling the flashing or color change of the lamp; staggered control, based on the partitioning and staggered sampling of the sensor group, the lighting 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 real-time environmental changes; environmental adaptive control, automatically adjust the brightness, flashing mode, switch status, etc. of the lamp according to 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; and then be able to dynamically respond to environmental changes and improve the efficiency of disaster management and emergency response.

[0029] The environment adaptive control module 50 is used to perform environment adaptive control on the explosion-proof emergency lights in the target control area according to the light control strategy.

[0030] Preferably, environmental adaptive control refers to the ability to monitor environmental conditions in real time and automatically adjust the behavior of lights to adapt to various changing conditions, ensuring that emergency lights can play the best role in different scenarios. Specifically, based on the environmental data sent back by sensors (such as gas concentration, temperature and humidity, smoke concentration, etc.), the behavior of explosion-proof emergency lights (such as brightness, mode, switch, etc.) is dynamically adjusted, so that the emergency lights always remain in the most suitable working state for the current environment. This not only improves the flexibility and intelligence of the system, but also provides effective guidance and warnings through lights when emergencies occur. The lighting control strategy includes specific control modes for explosion-proof emergency lights. For example, if the sensor detects a toxic gas leak, the lighting control strategy can automatically switch the flashing mode of the light. Or change the color of the light 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 light; in a fire scene, change the color of the light (such as to red) according to the data of the smoke sensor, and guide people to evacuate safely by controlling the brightness; through environmental adaptive control of explosion-proof emergency lights, it can respond quickly to environmental changes, automatically adjust the working status of the lamps according to real-time data, provide more effective emergency lighting and guidance, and through flexible lighting control, it can guide people to evacuate quickly through lights in emergency situations such as fire and gas leakage, reducing the risk of accidents, which not only improves the efficiency of emergency response, but also reduces energy waste, thereby improving the flexibility of the system.

[0031] A multifunctional disaster analysis explosion-proof emergency light control system according to an embodiment of the present invention is used to solve the technical problems existing in the prior art that it is impossible to achieve accurate regional division of multiple sensors and it is difficult to generate efficient dynamic control strategies, resulting in insufficient disaster analysis accuracy, low response time and efficiency, and achieves the technical effect of improving disaster analysis accuracy and emergency response efficiency. A multifunctional disaster analysis explosion-proof emergency light control system includes: a light control interactive network establishment module 10, a light control management unit construction module 20, a sensor level signal determination module 30, a light control strategy determination module 40, and an environmental adaptive control module 50.

[0032] The specific configuration of the light control interactive network establishment module 10 will be described in detail below. The light control interactive network establishment module 10 may further include: traversing the N explosion-proof emergency lights in the target control area, determining N light control interactive networks, wherein each sensor is interactively connected with at least one explosion-proof emergency light; and spatially splicing the N light control interactive networks to generate the light control interactive network.

[0033] 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 lamps 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 sensor is responsible for environmental monitoring (such as temperature, gas concentration, smoke, etc.) and transmits the data to the lighting control management unit, which adjusts the emergency light. The interactive connection refers to the data flow and interaction of control instructions between the sensor and the explosion-proof emergency light. Each sensor (such as temperature sensor, gas sensor, smoke sensor) Devices, etc.) are "interactively connected" with at least one explosion-proof emergency light to ensure that the monitoring results of each sensor can affect the working status of the lamp, and then N light-control interaction networks are obtained; then the N light-control interaction networks are spatially spliced, that is, these independent light-control interaction networks are integrated into one light-control interaction network. Specifically, multiple light-control interaction networks can be integrated through directed connections, data transmission protocols, wireless communications, etc. to cover the entire target control area, where each explosion-proof emergency light can automatically adjust lighting, warnings or other emergency behaviors according to local or remote sensor data (such as temperature, gas concentration, smoke, etc.), which not only enhances the flexibility of the system, but also can efficiently coordinate lighting control in different areas, thereby providing faster and more accurate emergency response in emergency situations.

[0034] The specific configuration of the light control interactive network establishment module 10 will be described in detail below. The light control interactive network establishment module 10 may further include: identifying a first explosion-proof emergency light as a first interactive center, wherein the first explosion-proof emergency light is any one of the N explosion-proof emergency lights; for the first interactive 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 interactive connection and a sensor interaction distance identifier from the first sensor network to the first interactive center, and determining a first light control interactive network, wherein the sensor interaction distance is the spatial distance from the sensor to the explosion-proof emergency light.

[0035] Preferably, the first explosion-proof emergency light is any one of the N explosion-proof emergency lights in the target control area, and it is used as the first interaction center, that is, as the central point for data aggregation and command distribution. It not only receives the data sent back by the sensor group, but also controls the lighting behavior within its range according to these data. Then, with the first interaction center as the base point, a fixed radius (such as several meters to tens of meters) is set. The sensors within this range will be included in the management scope of the interaction center. Then, according to the preset distance range, the spatial distribution of all sensors within the range is mapped and modeled, that is, the actual distribution position of each sensor in the physical space is converted into a recognizable sensor distribution topology. , to describe the spatial relationship between sensors, the data interaction path, and the coupling strength with the interaction center. Specifically, with the first interaction center as the center and the preset distance range as the radius, and considering the signal strength and transmission delay (to ensure that the 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 sensor are obtained through the GPS coordinates of the sensor or the local positioning system (such as UWB, BLE). With the first interaction center as the origin (0, 0), a coordinate system is established, all sensors are mapped to the coordinate system, and the spatial distribution is generated. Then, the Euclidean distance between each sensor and its interaction center is calculated. ,in,( ) is the position of the sensor, ( ) is the position of the first interaction center, and then the sensors whose distance is greater than the preset distance range are eliminated, and the remaining sensors are used as valid sensors; the sensor and the first interaction center are used as nodes, the data interaction path between the sensor and the interaction center is used as the edge, and a weight is assigned to each edge according to factors such as the distance from the sensor to the interaction center, data importance, and transmission delay. The sensor topology network is constructed. For example, 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: Table 1 Spatial coordinates and connection relationship between sensors and interaction centers node type coordinate Connecting Nodes C1 Interaction Center （0，0） S1, S2, S3, S4, S5 S1 Smoke Sensor （3，4） C1 S2 Gas Sensors （7，1） C1 S3 Temperature Sensor （5，8） C1 S4 Infrared sensor （10，2） C1 S5 Humidity Sensor （12，6） C1 The Euclidean distance formula is used to calculate the distances between sensors (S1, S2, S3, S4, S5) and the interaction center, which are (5, 7.07, 9.43, 10.2, 13.42), and then set weights. For example, the transmission weight is defined based on the inverse 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, and 0.074, respectively. S1 has the highest weight, indicating that its data has the highest priority, and S5 has the lowest weight, indicating that its data may have signal delays due to the long distance and has a relatively low priority. Finally, the sensor topology network is optimized through graph theory algorithms (such as minimum spanning tree algorithm, shortest path algorithm) or machine learning models (such as K-means clustering, neural network optimization) to reduce data delays and energy consumption, and finally determine the first sensor network, and then determine which sensors belong to the management scope of the interaction center.

[0036] Preferably, a directed interactive connection is established from the first sensor network to the first interactive center, that is, the data transmission from the sensor to the interactive center is unidirectional, and the data flows from the sensor to the first interactive center. The sensor interaction distance identifier refers to the distance between each sensor and the first interactive 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 equipment to sensors that are too far away), and the priority can be determined (such as giving priority to processing data from closer sensors to improve response speed). Then, the first lighting control interactive network is determined, which consists of the first interactive center (first explosion-proof emergency light), surrounding sensors and their connection relationship with the interactive center, and the function, data type and interaction distance of each sensor, so that environmental changes can be efficiently sensed and the control strategy of the lamps can be dynamically adjusted, thereby improving the safety and responsiveness in the area.

[0037] The specific configuration of the lighting control management unit building module 20 will be described in detail below. Figure 2 As shown, the lighting control management unit construction module 20 may further include: determining the lighting control rigidity condition by using the neighborhood position sensor of the explosion-proof emergency light, wherein the lighting control rigidity condition is determined by using a risk sensing threshold based on a risk critical 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 according to the lighting control interaction network; and determining the lighting control management unit by running the strong limit block and the coupling control block in parallel.

[0038] Preferably, the neighborhood position sensor of the explosion-proof emergency light is used to determine the rigid condition of light control, wherein 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 light control management system. The risk sensing threshold of the critical risk state determines the rigid condition of light control. The rigid condition of light control means that the control of the lamp needs to meet certain rigid conditions. For example, under specific environmental conditions, the explosion-proof emergency light must maintain a certain state or limit its adjustment range. Several nearby sensors are the most able to reflect the environmental state. Rigid limit means that as long as the data of one of these sensors exceeds Limitations, directly perform lighting control management and alarm lights; among them, the risk critical state refers to certain specific dangerous states. When environmental conditions exceed a certain threshold, it may lead to safety accidents (such as fire, gas leakage, etc.). The risk sensing threshold is a critical value set for each sensor, which is used to determine whether the environment is in a risk critical state. Whenever the signal detected by the sensor exceeds the threshold, the system is considered to be in a high-risk state, and the lighting control strategy needs to comply with the lighting control rigidity conditions, and the lighting control rigidity conditions correspond to the neighborhood position sensors one by one, that is, each sensor defines different lighting control rigidity conditions according to its physical location (such as the distance from the explosion-proof emergency light) and environmental changes.

[0039] Preferably, according to the determined rigid conditions of lighting control, these conditions are converted into specific hard restrictions, and they are incorporated into the control logic of the system to ensure that under various environmental conditions or emergency situations, the explosion-proof emergency lights will not lose their ability to respond to environmental risks, and the behavior of the lights will not deviate from the preset safety range; then, the coupled control block is supervised and trained according to the lighting control interaction network so that it can make the best decision according to different environmental conditions and sensor 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 response of the entire area is consistent and reasonable; finally, the strong limit block and the coupled control block are processed in parallel to determine the lighting control management unit. The strong limit block is responsible for hard constraints on lighting behavior, while the coupled control block is responsible for coordinating the lighting behavior of different areas. The lighting control management unit is ultimately responsible for formulating lighting control strategies based on sensor data and lighting control rigid conditions, and dispatching the status of each explosion-proof emergency light to ensure that the emergency system can respond and perform emergency control tasks in a timely manner, and ensure the efficiency of disaster response.

[0040] The specific configuration of the light control management unit construction module 20 will be described in detail below. The light control management unit construction module 20 may further include: determining the sensor interaction distance based on the interaction center, and performing coupling weight allocation, wherein the sensor interaction distance is positively correlated with the coupling weight; based on the coupling weight, with the multifunctional sensor coupling analysis based on partitioned directed connections as the goal, performing sample driven training, and constructing the coupling control block.

[0041] Preferably, the distance from the sensor to the interaction center (explosion-proof emergency light) is determined. This distance will affect the signal strength, data transmission delay, and control efficiency between the sensor and the interaction center, and different weights are assigned to different sensors according to this interaction distance. The sensor 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, and vice versa, the farther the distance, the smaller the coupling weight; specifically, using Calculate the weights, where represents the coupling weight of the i-th sensor, represents the distance between the sensor and the interaction center, k is a constant used to adjust the scale of the coupling weight (such as k=1), is a small value (such as 0.01) to prevent zero storage errors. Exemplary coupling weights are shown in Table 2: Table 2 Sensor coupling weights 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 In this way, the data contribution of each sensor can be adjusted according to the spatial position of the sensor, the signal quality and the degree of influence on the lighting control, so as to achieve more precise control; partitioned directed connection refers to dividing the target area into multiple sub-areas and configuring corresponding sensors and explosion-proof emergency lights for each sub-area. Multifunctional sensor coupling analysis refers to analyzing the 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), the model is trained based on a convolutional neural network, so that the system can learn the relationship between sensor data and lighting control behavior in historical scenes. Specifically, during the training process, different environmental data samples (such as changes in temperature, gas leakage, smoke concentration, etc.) are used to sample sensor data in chronological order, and mapped into a two-dimensional matrix according to the sensor position. The data set is divided (70% for training set, 15% for validation set, and 15% for test set). The historical lighting control behaviors (such as brightness and flashing state) are used as training labels. For example, 0 means keeping the current light state, and 1 means adjusting the light brightness or turning on the alarm mode. A convolutional neural network is then used in combination with a long short-term memory network (LSTM) (a special recurrent neural network used to process and predict long-term Dependency, suitable for complex dynamic environments, such as multi-function sensor data analysis and intelligent lighting control strategy decision-making) can not only extract local features, but also capture long-term dependencies in time series. Among them, the input dimension is (m, n), m is the time step, n is the number of sensors, the filter of the convolution layer is 64, the convolution 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 reduce the computational complexity. The number of LSTM layer units 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, which represents the final lighting control decision. Such as on / off, brightness adjustment, etc., set the model training hyperparameters, including batch size, learning rate, number of iterations and regularization parameters to prevent overfitting. For example, 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 light brightness, flashing frequency and other behaviors, and then build a coupling control block, which is 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 sensor input (and its weight) and control strategy to ensure that the emergency lights can provide correct responses in various emergency situations.

[0042] The specific configuration of the lighting control strategy determination module 40 will be described in detail below. The lighting control strategy determination module 40 may further include: using the partitioned directed connection of the lighting control interactive network to transmit the sensor level signal back to the lighting control management unit built into the corresponding explosion-proof emergency light; traversing the sensor level signal to identify the neighborhood level signal; transmitting the neighborhood level signal to the strong limit block, transmitting the sensor level signal to the coupling control block, performing parallel analysis, and determining the first strategy and the second strategy; mutually verifying the first strategy and the second strategy, and outputting the lighting control strategy.

[0043] Preferably, according to the partitioned directed connection of the lighting control interactive network, the collected environmental data (i.e., the sensor level signal) is transmitted to the lighting control management unit built into the corresponding explosion-proof emergency light, wherein the target area is divided into multiple sub-areas, and a directed data connection between the corresponding sensor and the explosion-proof emergency light is set in each sub-area. Then, the sensor level signals of all sensors are traversed, the environmental data collected by each sensor is analyzed, and other level signals in the vicinity of each sensor (i.e., the neighborhood) are identified; then, the neighborhood level signal is transmitted to the strong limit block, and the sensor level signal is transmitted to the coupling control block for parallel analysis, that is, to determine whether it is necessary to make mandatory adjustments to the lighting behavior to ensure that the lighting behavior is not Deviating from the preset safety range, analyzing the data of multiple sensors (including neighborhood signals), and conducting intelligent analysis to formulate the most suitable lighting control strategy, that is, determining the first strategy and the second strategy, and finally verifying the first strategy and the second strategy against each other to ensure the coordination of the two strategies and avoid conflicts between the two. For example, the sampling frequencies are different, and targeted analysis of blocks is carried out on real-time sensor data. When there is a collision between the two, the outputs of the two are verified, that is, the general control direction should be consistent; the final output lighting control strategy 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.

[0044] The specific configuration of the sensor level signal determination module 30 will be described in detail below. The sensor level signal determination module 30 may further include: determining 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; identifying the spatial distribution density of the sensor group, performing sensor alternating sampling with a preset sensor spacing as a constraint, and determining a second sampling rule; and performing staggered sampling control on the sensor group of the target control area based on the first sampling rule and the second sampling rule.

[0045] Preferably, the first sampling frequency refers to the data collection frequency of the neighborhood location 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 longer distance), which is usually low to reduce the computing burden and power consumption of the overall system, ensuring that key data at the neighborhood location are processed first, while the collection of long-distance sensor data can be slightly delayed to optimize resource allocation. By combining the high-frequency sampling of the neighborhood location sensor and the low-frequency sampling of the sensor group, a first sampling rule is formed to improve the data collection accuracy of the key area (neighborhood), reduce the sampling frequency of the non-key area, and reduce the occupation of system resources; identify the spatial distribution density of the sensor group, that is, the sensors in the target control area The distribution of sensors in the domain, such as high sensor density in some areas, may lead to data redundancy; while in areas with lower density, monitoring blind spots may occur; the preset sensor spacing is used to constrain the sampling interval. In high-density areas, different sensors are allowed to collect data at different time points through alternating sampling, so as to avoid data conflicts or redundancies caused by simultaneous sampling of multiple sensors, improve sampling efficiency, and reduce unnecessary data processing, thereby forming the second sampling rule; finally, the sensor group in the target control area is sampled at different times, that is, different sampling time points are set for different sensors according to the first sampling rule and the second sampling rule, so as to avoid sampling of all sensors at the same time, reduce redundant data, and improve the accuracy and response speed of environmental monitoring.

[0046] The specific configuration of the environment adaptive control module 50 will be described in detail below. The environment adaptive control module 50 may further include: determining the underlying control logic of the explosion-proof emergency light, determining the parameter control conversion relationship; based on the parameter control conversion relationship, performing data format conversion on the light control strategy, and determining the parameter control information; the parameter control information responds to the control center of the explosion-proof emergency light to perform environment adaptive light control management.

[0047] Preferably, the underlying control logic of the explosion-proof emergency light is determined, that is, the basic control rules are determined, including but not limited to how to respond to environmental data, how to adjust the light brightness and mode according to sensor input, etc. 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, the brightness should be adjusted, or switched to a flashing mode, and then the parameter-control conversion relationship is determined, that is, the relationship mapping between the sensor data (parameter) and the light control operation (control) is determined, which may include the threshold judgment of the sensor data (such as temperature, humidity, gas concentration, etc.), and the range of the sensor data is mapped to the behavior of the light (such as the brightness and mode of the lamp); then, according to the parameter-control conversion relationship, the light control strategy is converted into a data format so that it can interact smoothly in the light control management system, and the parameter-control information is determined to ensure that the system can understand the data from different sensors and convert these data into instructions that the light control management system can process and execute; the parameter-control information finally obtained responds to the control center of the explosion-proof emergency light, that is, the explosion-proof emergency light adjusts the working state of the explosion-proof emergency light according to the data from the sensor, the light control strategy and the parameter-control information, such as turning the light on and off, adjusting the brightness, switching the light mode, etc., and can automatically adjust the light behavior according to changes in environmental conditions. In this way, the lighting control system can respond to environmental changes in real time, ensuring that the lights provide appropriate lighting and warning functions in emergency situations, thereby improving the accuracy of disaster analysis and response efficiency.

[0048] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and 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 distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0049] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art 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 principles of this application should be included in 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; The environment adaptive control module is used to perform environment adaptive control on the explosion-proof emergency lights in the target control area according to the light control strategy.

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 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; The block parallel unit is used to parallelize the strong limit block and the coupling control block to determine the lighting control management unit.

5. A multifunctional disaster analysis explosion-proof emergency light control system as claimed in claim 4, 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.

6. 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.

7. The multifunctional disaster analysis explosion-proof emergency light control system according to claim 1, characterized in that: 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.

8. 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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