Intelligent emergency lighting control method and system, controller and storage medium

Abstract

The invention provides an intelligent emergency lighting control method and system, a controller and a storage medium, and relates to the technical field of data processing. The intelligent emergency lighting control method comprises the following steps: acquiring building environment data of a target building, and determining emergency information, personnel distribution information and current building facility information according to the building environment data; according to the emergency information, determining an occurrence point position and an event degree of an emergency of the target building; determining event expansion information according to the current building facility information, the external environment data, the occurrence point position and the event degree; and generating emergency lighting measures according to the personnel distribution information, the current building facility information and the event expansion information. The emergency information is quickly recognized according to the building environment data, the emergency lighting measures are formulated in combination with the external environment data and the current building setting information, the lighting effect is improved, the crowd evacuation difficulty is reduced, and then the escape efficiency is improved.

Description

Technical Field

[0001] This application relates to the technical field of data processing, for example, to an intelligent emergency lighting control method, system, controller, and storage medium. Background Art

[0002] With the acceleration of the urbanization process, the number of high-rise buildings and large public places is increasing day by day. To protect people's lives and property safety, fire safety has become the focus of social public safety. In the event of sudden situations such as fires and earthquakes that lead to fire safety problems, the power supply inside a building or a place may be damaged, resulting in problems with the internal lighting facilities, which in turn affects the escape process.

[0003] In the related art, most existing emergency lighting systems adopt a static pre-setting method, and when a sudden situation is detected, a pre-set plan is activated to turn on the emergency lighting in the corresponding area. This method relies on pre-set emergency lines or manual triggers, and it is difficult to dynamically adjust the lighting method in a sudden situation, resulting in an increase in the difficulty of crowd evacuation and thus reducing the escape efficiency. Summary of the Invention

[0004] This application aims to provide an intelligent emergency lighting control method, system, controller, and storage medium, which can reduce the difficulty of crowd evacuation and thus improve the escape efficiency.

[0005] According to one aspect of this application, an intelligent emergency lighting control method is proposed, including: Obtain the building environment data of the target building, and determine the emergency event information, personnel distribution information, and current building facility information according to the building environment data; According to the emergency event information, determine the location of the occurrence point and the degree of the emergency event of the target building; According to the current building facility information, external environment data, location of the occurrence point, and degree of the event, determine the event expansion information; Generate emergency lighting measures according to the personnel distribution information, current building facility information, and event expansion information.

[0006] Through the above embodiments provided by the present application, by obtaining the building environment data of the target building in real time, it is possible to quickly identify and determine the information of emergencies, including the location of the occurrence point and the degree of the event. This rapid response ability is crucial for ensuring the safety of personnel in emergency situations and can greatly reduce the potential risks caused by delays. The present application can not only identify the location where an emergency occurs, but also accurately evaluate the expansion trend and potential impact range of the event based on the current building facility information and external environment data, which helps to formulate more effective emergency lighting measures and ensure that lighting resources can be accurately allocated to the places where they are most needed. By combining the personnel distribution information and the event expansion information, the emergency lighting measures can be dynamically adjusted. This means that in an emergency, the lighting system can be flexibly adjusted according to the actual situation to illuminate the escape route and indicate the safe exit in the most optimized way, thus helping personnel to evacuate quickly and safely.

[0007] According to some embodiments, determining the location of the occurrence point and the degree of the emergency of the target building based on the emergency information includes: Obtaining the sending source and the sub-event information corresponding to the sending source from the emergency information; Determining the data analysis method according to the device attribute of the sending source; Processing the sub-event information according to the data analysis method to determine the sub-location and the sub-impact degree corresponding to the sending source; Determining the location of the occurrence point and the degree of the event based on the sub-locations and sub-impact degrees corresponding to multiple sending sources.

[0008] Through the above embodiments provided by the present application, by accurately obtaining the sending source and its corresponding sub-event information from the emergency information, the preliminary location of the emergency can be quickly locked. Combining the device attributes of the sending source (such as sensor type, location distribution, etc.), the specific area where the event occurs can be further narrowed down to achieve precise positioning. The data analysis method determined according to the device attribute of the sending source can scientifically and reasonably process different types of event information (such as smoke concentration, temperature anomaly, sound intensity, etc.). By deeply analyzing the sub-event information, the sub-impact degree corresponding to each sending source can be accurately evaluated. By comprehensively considering the sub-locations and sub-impact degrees of multiple sending sources, the location of the occurrence point and the degree of the emergency can be quickly determined, providing timely and accurate information support for the emergency response team, facilitating the emergency response team to quickly formulate effective rescue plans, improving the emergency response efficiency, and reducing casualties and property losses.

[0009] According to some embodiments, processing the sub-event information according to the data analysis method to determine the sub-location and the sub-impact degree corresponding to the sending source includes: Extracting the location description elements and the monitoring data elements from the sub-event information according to the data analysis method; Determine the sub - location according to the preset area setting, location description elements, and corresponding monitoring data elements corresponding to the sending source. Determine the sub - impact degree of the corresponding sub - event according to the preset area setting.

[0010] Through the above - mentioned embodiments provided by the present application, by extracting location description elements from sub - event information and combining with the preset area setting corresponding to the sending source, the sub - location where the emergency event occurs can be quickly and accurately determined. With the help of monitoring data elements, based on the preset area setting, the sub - impact degree of the sub - event can be scientifically evaluated. By analyzing monitoring data (such as smoke concentration, temperature anomaly value, sound intensity, etc.), the severity of the event can be quantified. By accurately judging the sub - location and sub - impact degree, the ability of the emergency response team to optimize resource allocation can be improved.

[0011] According to some embodiments, determine the event expansion information according to the current building facility information, external environment data, occurrence point location, and event degree, including: Determine the relative position relationship between the occurrence point location and the target building according to the current building settings. Determine the influence information of the occurrence point location by the external environment according to the current building settings. Determine the event expansion information according to the influence information, external environment data, and event degree.

[0012] Through the above - mentioned embodiments provided by the present application, by analyzing the current building settings and external environment data, the expansion trend of the event (such as fire, gas leakage, etc.), including the expansion speed, direction, and potential impact area, can be predicted. According to the event expansion information, the emergency lighting equipment that needs to be allocated can be judged more precisely. By real - time analyzing the building facility information and external environment data, potential safety hazards can be discovered and evaluated in a timely manner, providing an important basis for the safety management and maintenance of the building.

[0013] According to some embodiments, determine the event expansion information according to the influence information, external environment data, and event degree, including: Determine the diffusion speed and diffusion direction of the corresponding emergency event according to the external environment data and external environment data. Determine the diffusion speed, diffusion direction, and event degree as the event expansion information.

[0014] Through the above - mentioned embodiments provided by the present application, by real - time analyzing the external environment data and event degree, the diffusion speed and direction of the emergency event can be quickly predicted. Accurate event expansion information can provide a scientific basis for the allocation of emergency resources. According to the predicted diffusion speed and direction, the escape route and the use of emergency lighting equipment can be set more accurately.

[0015] According to some embodiments, emergency lighting measures are generated based on personnel distribution information, current building facility information, and event expansion information, including: Determine alternative paths in the target building from the current building facility information; Based on the personnel distribution information, determine the number of people and relative positions in multiple distribution areas; Generate emergency lighting measures based on the number of people, relative positions, event expansion information, and alternative paths.

[0016] Through the above embodiments provided by the present application, with accurate personnel distribution information, it is possible to quickly identify crowded areas and evacuation difficulties in the building, thereby strengthening the lighting in these areas targeted to ensure that people can quickly find evacuation paths in case of emergency. The emergency lighting measures can guide people to evacuate along the optimal path, avoid congestion and chaos, and significantly improve the evacuation efficiency. Combining with the event expansion information, the lighting strategy can be dynamically adjusted to ensure sufficient lighting is provided in the key areas where the event spreads, helping people avoid dangerous areas. The emergency lighting measures can also provide clear visual guidance in the dark, reducing safety accidents such as falls and collisions caused by unclear vision.

[0017] According to some embodiments, emergency lighting measures are generated based on the number of people, relative positions, event expansion information, and alternative paths, including: Divide crowded areas and sparse areas based on the number of people in multiple distribution areas; Based on the regional location of the crowded area and the event expansion information, determine the main emergency path from the alternative paths; Based on the regional location, relative position, and event expansion information of the sparse area, determine the secondary emergency path from the alternative paths; Obtain the target lighting devices on the main emergency path and the secondary emergency path; Based on the number of people, current building facility information, and preset operating modes of lighting devices, determine the lighting color, brightness levels, and brightness change rates of the target lighting devices; Determine the main emergency path, the secondary emergency path, the lighting color, the brightness levels, and the brightness change rates as the emergency lighting measures.

[0018] Through the above embodiments provided by the present application, by partitioning the interior of a building and identifying crowded and sparse areas of people, it is possible to accurately locate the areas that require key lighting, thereby guiding people to evacuate quickly and orderly. Dynamically adjust the main emergency path and the secondary emergency path according to the event expansion information to ensure that the evacuation path always avoids dangerous areas and improve the safety of the evacuation process. Through intelligent analysis of the personnel distribution and event expansion situation, reasonably allocate lighting resources to ensure sufficient lighting in crowded areas and key evacuation paths, while avoiding over-illumination in sparse areas of people, and achieve the effective utilization of resources. Dynamically adjust the lighting color, brightness gradient, and brightness change rate according to the preset lighting device operation mode and real-time personnel and event information, so that the lighting system can adapt to different emergency scenarios and requirements.

[0019] According to one aspect of the present application, an intelligent emergency lighting control system is proposed, including: An information acquisition and analysis module, configured to acquire building environment data of a target building, and determine emergency event information, personnel distribution information, and current building facility information according to the building environment data; A location degree determination module, configured to determine the occurrence point location and event degree of an emergency event in the target building according to the emergency event information; An expansion information determination module, configured to determine event expansion information according to the current building facility information, external environment data, occurrence point location, and event degree; A measure generation module, configured to generate emergency lighting measures according to the personnel distribution information, current building facility information, and event expansion information.

[0020] Optionally, the location degree determination module is specifically configured to: Obtain the sending source and the sub-event information corresponding to the sending source from the emergency event information; Determine the data analysis method according to the device attribute of the sending source; Process the sub-event information according to the data analysis method to determine the sub-location and sub-influence degree corresponding to the sending source; Determine the occurrence point location and event degree according to the sub-locations and sub-influence degrees corresponding to multiple sending sources.

[0021] Optionally, when the location degree determination module processes the sub-event information according to the data analysis method to determine the sub-location and sub-influence degree corresponding to the sending source, it is specifically configured to: Extract location description elements and monitoring data elements from the sub-event information according to the data analysis method; Determine the sub-location according to the preset area setting, location description elements, and corresponding monitoring data elements corresponding to the sending source; Determine the sub-influence degree of the corresponding sub-event according to the preset area setting.

[0022] Optionally, the expansion information determination module is specifically configured to: Determine the relative position relationship between the occurrence point location and the target building according to the current building settings; Determine the influence information of the occurrence point location affected by the external environment according to the current building settings; Determine the event expansion information according to the influence information, external environment data, and event degree.

[0023] Optionally, when the expansion information determination module determines the event expansion information according to the influence information, external environment data, and event degree, it is specifically configured to: Determine the diffusion speed and diffusion direction of the corresponding emergency event according to the external environment data and the external environment data; Determine the diffusion speed, diffusion direction, and event degree as the event expansion information.

[0024] Optionally, the measure generation module is specifically configured to: Determine the optional paths in the target building from the current building facility information; Determine the number of people and relative positions in multiple distribution areas according to the personnel distribution information; Generate emergency lighting measures according to the number of people, relative positions, event expansion information, and optional paths.

[0025] Optionally, when the measure generation module generates emergency lighting measures according to the number of people, relative positions, event expansion information, and optional paths, it is specifically configured to: Divide the personnel-intensive areas and personnel-sparse areas according to the number of people in multiple distribution areas; Determine the main emergency path from the optional paths according to the regional location of the personnel-intensive area and the event expansion information; Determine the secondary emergency path from the optional paths according to the regional location, relative position, and event expansion information of the personnel-sparse area; Obtain the target lighting devices on the main emergency path and the secondary emergency path; Determine the lighting color, brightness gradient, and brightness change rate of the target lighting devices according to the number of people, the current building facility information, and the preset lighting device operation mode; Determine the main emergency path, the secondary emergency path, the lighting color, the brightness gradient, and the brightness change rate as the emergency lighting measures.

[0026] According to one aspect of the present application, a controller is provided, which includes: a processor; a memory storing a computer program, and when the computer program is executed by the processor, the processor executes the intelligent emergency lighting control method as described above.

[0027] According to one aspect of the present application, a non-transitory computer-readable medium is provided, on which readable instructions are stored. When the instructions are executed by a processor, the processor is caused to execute the intelligent emergency lighting control method as described above.

[0028] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without exceeding the scope of protection required by the present application.

[0030] Figure 1 is a flowchart of the intelligent emergency lighting control method provided by an embodiment of the present application; Figure 2 is a block diagram of the intelligent emergency lighting control system provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of the controller provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Identical reference numerals in the figures denote identical or similar parts, and thus their repetitive description will be omitted.

[0032] In addition, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will realize that the technical solutions of the present application can be practiced without one or more of the specific details, or can be implemented using other methods, components, devices, steps, etc. In other cases, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present application.

[0033] The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0034] The flowcharts shown in the accompanying drawings are merely illustrative and not necessarily inclusive of all content and operations / steps, nor are they necessarily to be executed in the order described. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined, so the actual execution order may change according to the actual situation.

[0035] It should be understood that although terms such as first, second, and third may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another. Thus, the first component discussed below may be referred to as the second component without departing from the teachings of the concept of this application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more of them.

[0036] Specific implementation manners can refer to the following embodiments.

[0037] Figure 1 The flowchart of the intelligent emergency lighting control method provided for the embodiments of this application. The method of this embodiment can be applied to a controller. As Figure 1 shown, the method includes: step S10, step S11, step S12, and step S13.

[0038] In step S10, obtain the building environment data of the target building, and determine the emergency event information, personnel distribution information, and current building facility information according to the building environment data.

[0039] In this application, the target building can be used to represent the building or place where emergency lighting control is carried out. The controller can interact with devices in the building management system such as sensors and monitoring devices in these target buildings to directly obtain the corresponding detected building environment data. The building environment data can include emergency event information, personnel distribution information, and current building facility information. Among them, the emergency event information is used to represent the relevant data of preset emergency events such as fires and earthquakes, such as monitoring data, smoke concentration, brightness, etc. The personnel distribution information can be the data of the positions and relative positions of personnel in the target building. The current building facility information can be used to represent the setting conditions of various areas in the target building at the current moment, the setting positions of devices, relative positions, the on-off status of devices and other components, etc.

[0040] In some implementation manners, the building environment information sent by the target building can be obtained, and the emergency event information, personnel distribution information, and current building facility information can be extracted therefrom.

[0041] In step S11, according to the emergency event information, determine the occurrence point position and event degree of the emergency event in the target building.

[0042] In this application, emergencies can be used to characterize, for example, fires, earthquakes, and other unexpected situations. The location of the occurrence point may be a point or an area. The event severity can be used to characterize the severity of the emergency in the target building.

[0043] In some implementations, the emergency information may include the location of the occurrence point and the event severity.

[0044] In step S12, based on the current building facility information, external environment data, location of the occurrence point, and event severity, determine the event expansion information.

[0045] In this application, the external environment data may include temperature, wind force, wind direction, etc. The event expansion information can be used to characterize the expansion of the emergency, such as the direction of spread, the spread speed, and additional events such as smoke and dust generated. The controller can interact with the monitoring devices of the external environment to obtain the external environment data.

[0046] In some implementations, an event expansion determination model can be preset. By inputting the current building facility information, external environment data, location of the occurrence point, and event severity into this model, the event expansion information can be directly output.

[0047] In step S13, based on the personnel distribution information, current building facility information, and event expansion information, generate emergency lighting measures.

[0048] This application can determine the locations of the personnel through the personnel distribution information. Combining with the setting of the escape routes in the current building facility information, the evacuation areas and the dangerous roads between these areas can be delimited. The emergency lighting measures may include the emergency lighting devices used, escape routes, etc.

[0049] In some implementations, a measure determination model can be set. By inputting the personnel distribution information, current building facility information, and event expansion information into this model, the emergency lighting measures can be directly output.

[0050] By obtaining the building environment data of the target building in real time, this application can quickly identify and determine the information of emergencies, including the location of the occurrence point and the degree of the event. This rapid response ability is crucial for ensuring the safety of personnel in emergency situations and can greatly reduce the potential risks caused by delays. This application can not only identify the location where an emergency occurs, but also accurately evaluate the expansion trend and potential impact range of the event based on the current building facility information and external environment data, which helps to formulate more effective emergency lighting measures and ensure that lighting resources can be accurately allocated to the places where they are most needed. Combining the personnel distribution information and the event expansion information, the emergency lighting measures can be dynamically adjusted. This means that in an emergency, the lighting system can be flexibly adjusted according to the actual situation to illuminate the escape route and indicate the safety exit in the most optimized way, thereby helping personnel to evacuate quickly and safely.

[0051] According to some embodiments, the sending source and the sub-event information corresponding to the sending source can be obtained from the emergency event information; according to the device attributes of the sending source, the data analysis method can be determined; the sub-event information can be processed according to the data analysis method to determine the sub-location and sub-impact degree corresponding to the sending source; according to the sub-locations and sub-impact degrees corresponding to multiple sending sources, the location of the occurrence point and the degree of the event can be determined.

[0052] In this application, the sending source can be used to represent the device that sends the sub-event information, and all the sub-event information and all the sending sources can be used as the emergency event information. The device attributes of the sending source can be stored in advance, and these attributes may be the settings at the time of factory or may include the settings of the staff. The data analysis methods corresponding to different device attributes can be set and stored in advance, and may include threshold judgment, trend analysis, pattern recognition, etc.

[0053] In some implementation manners, different sending sources have unique and non-repeating IDs. When the sending source sends information, it will carry a unique ID to distinguish the sub-event information sent by different sending sources. Obtain the device attributes of the sending source, match the corresponding data analysis method, and process the sub-event information according to this data analysis method to obtain the corresponding sub-location and sub-impact degree. In other implementation manners, the data analysis method may include machine learning algorithms. By inputting the sub-event information, the model can be processed to obtain the corresponding self and sub-impact degree.

[0054] Take the sub-locations corresponding to multiple sending sources as the location of the occurrence point, and take the sub-impact degrees corresponding to multiple sending sources as the degree of the event.

[0055] By accurately obtaining the sending source and its corresponding sub - event information from the emergency event information, this application can quickly lock the preliminary location of the emergency event. Combining the device attributes of the sending source (such as sensor type, location distribution, etc.), the specific area where the event occurs can be further narrowed down to achieve precise positioning. According to the data analysis method determined by the device attributes of the sending source, scientific and reasonable processing can be carried out for different types of event information (such as smoke concentration, temperature anomaly, sound intensity, etc.). By deeply analyzing the sub - event information, the sub - impact degree corresponding to each sending source can be accurately evaluated. By comprehensively considering the sub - locations and sub - impact degrees of multiple sending sources, the occurrence point location and event degree of the emergency event can be quickly determined, providing timely and accurate information support for the emergency response team, facilitating the emergency response team to quickly formulate effective rescue plans, improving the emergency response efficiency, and reducing casualties and property losses.

[0056] According to some embodiments, location description elements and monitoring data elements can be extracted from the sub - event information according to the data analysis method; according to the preset area setting corresponding to the sending source, the location description elements, and the corresponding monitoring data elements, the sub - location is determined; according to the preset area setting, the sub - impact degree of the corresponding sub - event is determined.

[0057] In this application, the location description elements may include, for example, sensor location identifiers, camera viewing ranges, etc., and the monitoring data elements may include, for example, smoke concentration values, temperatures, sound intensities, etc. Regular expressions or string matching algorithms can be used to extract the location description elements and monitoring data elements from the text description of the sub - event information.

[0058] According to the preset area setting corresponding to the sending source, a region mapping table is constructed. This table maps the sending source (such as device number) to its corresponding preset area (such as floor, room number, etc.). Using the extracted location description elements (such as device number), the corresponding preset area is searched in the region mapping table. Combining the monitoring data elements (such as smoke concentration, temperature value, etc.), the sub - location is fine - tuned. For example, if the smoke concentration is particularly high near a certain device, it can be considered that the small area where the device is located is the key area of the sub - location. Use a search algorithm (such as hash table search) to quickly locate the preset area in the region mapping table; use conditional judgment (such as if - else statements) to fine - tune the sub - location in combination with the monitoring data elements to obtain the sub - location.

[0059] According to the preset area settings, a basic impact degree value is set for each area. This value can be set according to the type of the area (such as office area, warehouse area, etc.) and importance (such as personnel density, item value, etc.). According to the values of the monitoring data elements, the basic impact degree value is adjusted using a preset calculation formula to obtain the sub - impact degree of the sub - event. In some other implementation manners, a degree determination model can be preset, and by inputting the preset area settings and information of different sub - events, the sub - impact degree is obtained.

[0060] This application can quickly and accurately determine the sub - location where the emergency occurs by extracting the location description elements from the sub - event information and combining with the preset area settings corresponding to the sending source. With the help of the monitoring data elements, the sub - impact degree of the sub - event can be scientifically evaluated based on the preset area settings. By analyzing the monitoring data (such as smoke concentration, temperature anomaly value, sound intensity, etc.), the severity of the event can be quantified. By accurately judging the sub - location and sub - impact degree, the ability of the emergency response team to optimize resource allocation can be improved.

[0061] According to some embodiments, the relative position relationship between the occurrence point location and the target building can be determined according to the current building settings; according to the current building settings, the information about the influence of the external environment on the occurrence point location can be determined; according to the influence information, external environment data and event degree, the event expansion information can be determined.

[0062] In some implementation manners, the current building facility information can be parsed to obtain key information such as building layout diagrams, room distributions, corridor structures, etc. Map the occurrence point location (usually presented in coordinate form) onto the building layout diagram to determine its specific location. According to the building layout diagram, calculate the relative distance and direction between the occurrence point location and the target building (such as key areas like safety exits, fire equipment rooms, etc.). Use spatial analysis algorithms, such as distance calculation, direction determination, etc., to determine the relative position relationship.

[0063] According to the current building settings (such as window positions, ventilation system layouts, etc.), analyze the possible influence of the external environment data on the occurrence point location. Through a preset quantification model, using the current building settings and external environment data as inputs, quantify these influences and output the influence information, including influence types (such as smoke diffusion, flame spread, etc.) and influence degrees (such as diffusion speed, spread range, etc.). Use environmental factor analysis algorithms, combined with building facility information, to quantify the influence of the external environment on the occurrence point location.

[0064] According to the influence information and external environment data, predict the possible expansion trend of the event (such as fire, gas leakage, etc.). Combine with the event degree (such as fire scale, gas concentration, etc.) to further refine the prediction results. Generate event expansion information, including expansion speed, expansion range, potential danger areas, etc.

[0065] By analyzing the current building settings and external environmental data, this application can predict the expansion trends of events (such as fires, gas leaks, etc.), including the expansion speed, direction, and potential impact areas. Based on the event expansion information, it is possible to more accurately determine the emergency lighting equipment that needs to be allocated. By analyzing the building facility information and external environmental data in real time, potential safety hazards can be discovered and evaluated in a timely manner, providing an important basis for the safety management and maintenance of the building.

[0066] According to some embodiments, based on the external environmental data and the external environmental data, the diffusion speed and diffusion direction of the corresponding emergency event can be determined; the diffusion speed, diffusion direction, and event severity are determined as event expansion information.

[0067] In this application, key meteorological parameters including wind speed, wind direction, temperature, humidity, etc. are extracted from the external environmental data. These parameters have a significant impact on the diffusion speed and direction of emergency events. According to the impact information, the types of emergency events (such as fires, gas leaks, chemical pollution, etc.) and their characteristics are analyzed. The diffusion behaviors of different types of emergency events may be different under the same external environment. Apply the diffusion model. Based on the external environmental data and the impact information, a suitable diffusion model is selected to calculate the diffusion speed and direction.

[0068] In some implementation manners, for the diffusion of certain types of pollutants, the Gaussian model can be used. It assumes that the pollutants are normally distributed in space and calculates the diffusion speed and diffusion range based on parameters such as wind speed, wind direction, and pollutant release rate.

[0069] In other implementation manners, the computational fluid dynamics model can be used to more accurately simulate the fluid flow and pollutant diffusion in a complex environment. It is based on fluid mechanics principles such as the Navier-Stokes equations and predicts the diffusion speed and direction through numerical solutions.

[0070] Taking the external environmental data (such as wind speed, wind direction) and the event severity (such as pollutant concentration, fire source intensity) as input parameters, they are substituted into a preset diffusion model. The model will output the predicted values of the diffusion speed and diffusion direction. The obtained diffusion speed and diffusion direction, as well as the event severity (such as pollutant concentration, fire source intensity, duration, etc.) are integrated into event expansion information.

[0071] By analyzing the external environmental data and the event severity in real time, this application can quickly predict the diffusion speed and direction of emergency events. Accurate event expansion information can provide a scientific basis for the allocation of emergency resources. According to the predicted diffusion speed and direction, the escape routes and the use of emergency lighting equipment can be set more accurately.

[0072] According to some embodiments, optional paths in a target building can be determined from the current building facility information; according to the personnel distribution information, the number of personnel and relative positions in multiple distribution areas can be determined; according to the number of personnel, relative positions, event expansion information, and optional paths, emergency lighting measures can be generated.

[0073] This application can parse the current building facility information, including the locations and statuses of key facilities such as building floor plans, evacuation routes, stairs, exits, etc. Based on the building floor plan, a path network within the building is constructed using graph theory algorithms (such as depth-first search or breadth-first search). Each node represents a location within the building (such as a room, corridor intersection, etc.), and each edge represents a direct passage between two locations (such as a door, corridor). According to the locations of evacuation routes, stairs, and exits, all optional paths from any location to a safe area (such as outdoors or a designated safe assembly point) are marked. These paths should avoid obstacles and dangerous areas.

[0074] Personnel distribution information usually can come from sensor data, video surveillance, or personnel reports, and includes the specific locations (such as room numbers, floors, etc.) and quantities of personnel within the building. Map the personnel locations onto the above-mentioned constructed path network to determine the nodes or edges where each person is located. According to the personnel locations, the building is divided into multiple distribution areas, and each area contains a certain number of personnel. The size and shape of the areas should be flexibly adjusted according to the personnel density and building layout.

[0075] Analyze the event expansion information, including the event type (such as fire, earthquake), spread speed, spread direction, influence range, etc. This information can be used to evaluate the safety and feasibility of different paths. For each distribution area, calculate the shortest path (or the safest path) to the nearest safe exit, considering the impact of event expansion information on path safety. This may require using dynamic programming, heuristic search, or other path planning algorithms. According to the path planning results, determine the requirements for emergency lighting. Increase emergency lighting equipment in key paths (such as near evacuation routes, stairs, exits) and crowded areas to ensure that people can clearly see the paths and indicator signs in the dark. Consider the coverage range, brightness, and duration of lighting equipment, as well as the power supply situation (such as backup power supply, battery life, etc.), and formulate a detailed emergency lighting deployment plan as the emergency lighting measure.

[0076] Based on precise personnel distribution information, this application can quickly identify crowded areas and evacuation bottlenecks within a building, thereby strengthening the lighting in these areas in a targeted manner to ensure that people can quickly find the evacuation route in case of an emergency. Emergency lighting measures can guide people to evacuate along the optimal route, avoid congestion and chaos, and significantly improve the evacuation efficiency. Combining with event expansion information, the lighting strategy can be dynamically adjusted to ensure sufficient lighting is provided in the critical areas where the event spreads, helping people avoid dangerous areas. Emergency lighting measures can also provide clear visual guidance in the dark, reducing safety accidents such as falls and collisions caused by poor visibility.

[0077] According to some embodiments, the crowded areas and sparse areas can be divided based on the number of people in multiple distribution areas; based on the regional location of the crowded areas and event expansion information, the main emergency path can be determined from the optional paths; based on the regional location, relative position of the sparse areas and event expansion information, the secondary emergency path can be determined from the optional paths; obtain the target lighting devices on the main emergency path and the secondary emergency path; according to the number of people, the current building facility information and the preset operating mode of the lighting devices, determine the lighting color, brightness gradient and brightness change rate of the target lighting devices; determine the main emergency path, the secondary emergency path, the lighting color, the brightness gradient and the brightness change rate as the emergency lighting measures.

[0078] In some implementation manners, a threshold (such as the number of people per square meter exceeding a certain amount) can be set based on the number of people in multiple distribution areas to distinguish between crowded areas and sparse areas. For each distribution area, calculate its population density (number of people / area) and compare it with the set threshold. If the density exceeds the threshold, it is marked as a crowded area; otherwise, it is marked as a sparse area. Based on the regional location of the crowded areas and event expansion information, use a path planning algorithm to find the optimal path to the safe area from the optional paths as the main emergency path. Construct a path network graph, where the nodes represent key positions in the building (such as room, corridor intersections, etc.), and the edges represent the direct channels between the nodes (such as doors, corridors). Assign weights to each edge, and the weights can be dynamically adjusted according to the event expansion information (such as increasing the weight of the edges close to the dangerous area). Then, use the path planning algorithm to find the shortest path from the crowded area to the safe area.

[0079] Based on the regional location, relative position of the sparse areas and event expansion information, use a similar path planning algorithm to determine the secondary emergency path from the optional paths. The secondary emergency path should be used as an alternative or supplement to the main emergency path to ensure the safe evacuation of people when the main path is blocked. Similar to determining the main emergency path, but it is necessary to consider multiple possible paths from the sparse areas to the safe area and select a relatively safe and less blocked path as the secondary emergency path.

[0080] Based on the location information on the main emergency path and the secondary emergency path, obtain the target lighting devices at these locations from the building facility information. Check whether the lighting devices at each path node or edge exist and are available, and mark them as target lighting devices. Develop a lighting strategy according to the number of people, the current building facility information, and the preset operating mode of the lighting devices. Select an appropriate lighting color according to the type of event (for example, use red lighting to warn in case of a fire, and use blue or green to soothe emotions in case of an earthquake). Set different brightness levels according to the importance of the path and the density of people. For example, the brightness of the lighting devices on the main emergency path should be higher than that on the secondary emergency path; the brightness in areas with high population density should be higher than that in areas with low population density. Set the brightness change rate according to the evacuation time and the movement speed of people. In the initial stage of evacuation, the brightness can gradually increase to guide people; in the later stage of evacuation, the brightness can remain stable or slightly decrease to avoid causing panic. Integrate information such as the main emergency path, the secondary emergency path, the lighting color, the brightness level, and the brightness change rate into emergency lighting measures.

[0081] By partitioning the interior of the building and identifying areas with high and low population density in this application, it is possible to accurately locate the areas that require key lighting, thereby guiding people to evacuate quickly and orderly. Dynamically adjust the main emergency path and the secondary emergency path according to the event expansion information to ensure that the evacuation path always avoids dangerous areas and improves the safety of the evacuation process. Through intelligent analysis of the personnel distribution and the event expansion situation, reasonably allocate lighting resources to ensure sufficient lighting on paths with high population density and critical evacuation paths, while avoiding over-illumination in areas with low population density, and achieving the effective utilization of resources. Dynamically adjust the lighting color, the brightness level, and the brightness change rate according to the preset operating mode of the lighting devices and the real-time personnel and event information, so that the lighting system can adapt to different emergency scenarios and requirements.

[0082] The device embodiments of the present application are described below, which can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, reference can be made to the method embodiments of the present application.

[0083] Figure 2 It is a block diagram of the intelligent emergency lighting control system provided by the embodiments of the present application. As Figure 2 shown, the intelligent emergency lighting control system 200 includes an information acquisition and analysis module 201, a location degree determination module 202, an expansion information determination module 203, and a measure generation module 204.

[0084] The information acquisition and analysis module 201 is configured to acquire the building environment data of the target building, and determine the emergency event information, the personnel distribution information, and the current building facility information according to the building environment data; The location degree determination module 202 is configured to determine the location of the occurrence point and the degree of the emergency event of the target building according to the emergency event information; The expansion information determination module 203 is configured to determine event expansion information according to the current building facility information, external environment data, occurrence point location, and event severity. The measure generation module 204 is configured to generate emergency lighting measures according to the personnel distribution information, current building facility information, and event expansion information.

[0085] Optionally, the location severity determination module 202 is specifically configured to: Obtain the sending source and the sub-event information corresponding to the sending source from the emergency event information; Determine the data analysis method according to the device attributes of the sending source; Process the sub-event information according to the data analysis method to determine the sub-location and sub-impact severity corresponding to the sending source; Determine the occurrence point location and event severity according to the sub-locations and sub-impact severities corresponding to multiple sending sources.

[0086] Optionally, when the location severity determination module 202 processes the sub-event information according to the data analysis method to determine the sub-location and sub-impact severity corresponding to the sending source, it is specifically configured to: Extract the location description elements and monitoring data elements from the sub-event information according to the data analysis method; Determine the sub-location according to the preset area setting, location description elements, and corresponding monitoring data elements corresponding to the sending source; Determine the sub-impact severity of the corresponding sub-event according to the preset area setting.

[0087] Optionally, the expansion information determination module 203 is specifically configured to: Determine the relative position relationship between the occurrence point location and the target building according to the current building settings; Determine the influence information of the occurrence point location affected by the external environment according to the current building settings; Determine the event expansion information according to the influence information, external environment data, and event severity.

[0088] Optionally, when the expansion information determination module 203 determines the event expansion information according to the influence information, external environment data, and event severity, it is specifically configured to: Determine the diffusion speed and diffusion direction of the corresponding emergency event according to the external environment data and the external environment data; Determine the diffusion speed, diffusion direction, and event severity as the event expansion information.

[0089] Optionally, the measure generation module 204 is specifically configured to: Determine the optional paths in the target building from the current building facility information; Determine the number of people and relative positions in multiple distribution areas according to the personnel distribution information; Generate emergency lighting measures based on the number of people, relative positions, event expansion information, and optional paths.

[0090] Optionally, when the measure generation module 204 generates emergency lighting measures based on the number of people, relative positions, event expansion information, and optional paths, it is specifically used for: Divide the densely populated areas and sparsely populated areas according to the number of people in multiple distribution areas; Determine the main emergency path from the optional paths according to the regional location of the densely populated area and the event expansion information; Determine the secondary emergency path from the optional paths according to the regional location, relative position, and event expansion information of the sparsely populated area; Obtain the target lighting devices on the main emergency path and the secondary emergency path; Determine the lighting color, brightness level, and brightness change rate of the target lighting devices according to the number of people, current building facility information, and preset lighting device operation modes; Determine the main emergency path, secondary emergency path, lighting color, brightness level, and brightness change rate as the emergency lighting measures.

[0091] The device performs functions similar to the methods provided above. For other functions, refer to the previous description and will not be elaborated here.

[0092] Figure 3 The following is a schematic structural diagram of the controller provided in the embodiments of the present application. As Figure 3 shown, the controller 300 in this embodiment may include: a memory 301 and a processor 302.

[0093] A computer program is stored on the memory 301. When the computer program is executed by the processor 302, the aforementioned processor 302 executes the methods in the above embodiments.

[0094] Among them, the processor 302 and the memory 301 are connected, such as through a bus.

[0095] Optionally, the controller 300 may further include a transceiver. It should be noted that in practical applications, the transceiver is not limited to one, and the structure of the controller 300 does not constitute a limitation to the embodiments of the present application.

[0096] The processor 302 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of this application. The processor 302 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0097] The bus may include a path for transmitting information between the above components. The bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0098] The memory 301 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or it may also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0099] The memory 301 is used to store the application program code for executing the solution of this application and is controlled by the processor 302 to execute. The processor 302 is used to execute the application program code stored in the memory 301 to implement the content shown in the foregoing method embodiments.

[0100] Among them, the controller includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The controller shown is only an example and should not impose any limitations on the functions and scope of use of the embodiments of the present application.

[0101] The controller of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be elaborated here.

[0102] The present application also provides a non-transitory computer-readable storage medium, on which computer-readable instructions are stored. When the foregoing instructions are executed by a processor, the processor is caused to execute the method in the above embodiments.

[0103] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a non-transitory computer-readable storage medium. When this program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0104] The above has introduced the embodiments of the present application in detail. Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, changes or deformations made by those skilled in the art based on the idea of the present application, within the specific implementation manners and application scope of the present application, all fall within the protection scope of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.

Claims

1. An intelligent emergency lighting control method, characterized in that, Including: Obtain the building environment data of the target building, and determine the emergency event information, personnel distribution information, and current building facility information according to the building environment data; Determine the occurrence point location and event degree of the emergency event in the target building according to the emergency event information; Determine the event expansion information according to the current building facility information, external environment data, the occurrence point location, and the event degree; Generate emergency lighting measures according to the personnel distribution information, the current building facility information, and the event expansion information.

2. The method according to claim 1, characterized in that The determining the occurrence point location and event degree of the emergency event in the target building according to the emergency event information includes: Obtain the sending source and the sub-event information corresponding to the sending source from the emergency event information; Determine the data analysis method according to the device attribute of the sending source; Process the sub-event information according to the data analysis method to determine the sub-location and sub-influence degree corresponding to the sending source; Determine the occurrence point location and the event degree according to the sub-locations and sub-influence degrees corresponding to multiple sending sources.

3. The method according to claim 2, characterized in that, The processing the sub-event information according to the data analysis method to determine the sub-location and sub-influence degree corresponding to the sending source includes: Extract the location description elements and monitoring data elements from the sub-event information according to the data analysis method; Determine the sub-location according to the preset area setting corresponding to the sending source, the location description element, and the corresponding monitoring data element; Determine the sub-influence degree of the corresponding sub-event according to the preset area setting.

4. The method according to claim 1, wherein The determining the event expansion information according to the current building facility information, external environment data, the occurrence point location, and the event degree includes: Determine the relative position relationship between the occurrence point location and the target building according to the current building setting; Determine the influence information of the occurrence point location by the external environment according to the current building setting; Determine the event expansion information according to the influence information, the external environment data, and the event degree.

5. The method according to claim 4, wherein The determining the event expansion information according to the influence information, the external environment data, and the event degree includes: Determine the diffusion speed and diffusion direction of the corresponding emergency event according to the external environment data and the external environment data; Determine the diffusion speed, the diffusion direction, and the event degree as the event expansion information.

6. The method according to claim 1, wherein The generating emergency lighting measures according to the personnel distribution information, the current building facility information, and the event expansion information includes: Determine the optional paths in the target building from the current building facility information; Determine the number of personnel and relative positions in multiple distribution areas according to the personnel distribution information; Generate the emergency lighting measures according to the number of personnel, the relative positions, the event expansion information, and the optional paths.

7. The method according to claim 6, wherein The generating the emergency lighting measures according to the number of personnel, the relative positions, the event expansion information, and the optional paths includes: Divide the crowded area and the sparse area according to the number of people in the multiple distribution areas; Determine the main emergency path from the optional paths according to the regional location of the crowded area and the event expansion information; Determine the secondary emergency path from the optional paths according to the regional location of the sparse area, the relative position and the event expansion information; Obtain the target lighting devices on the main emergency path and the secondary emergency path; Determine the lighting color, brightness level and brightness change rate of the target lighting devices according to the number of people, the current building facility information and the preset lighting device operation mode; Determine the main emergency path, the secondary emergency path, the lighting color, the brightness level and the brightness change rate as the emergency lighting measures.

8. An intelligent emergency lighting control system, characterized in that, Include: An information acquisition and analysis module, configured to acquire the building environment data of the target building, and determine the emergency event information, personnel distribution information and current building facility information according to the building environment data; A location and degree determination module, configured to determine the occurrence point location and event degree of the emergency event in the target building according to the emergency event information; An expansion information determination module, configured to determine the event expansion information according to the current building facility information, external environment data, the occurrence point location and the event degree; A measure generation module, configured to generate emergency lighting measures according to the personnel distribution information, the current building facility information and the event expansion information.

9. A controller, characterized in that, Include: A processor; A memory storing a computer program, which when executed by the processor causes the processor to execute the intelligent emergency lighting control method according to any one of claims 1-7.

10. A non-transitory computer-readable storage medium, characterized in that, A computer-readable instruction is stored thereon, which when executed by the processor causes the processor to execute the intelligent emergency lighting control method according to any one of claims 1-7.

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