Intelligent lighting explosion-proof wireless gateway integrated control system and method

Abstract

The invention relates to the technical field of intelligent lighting, and discloses an intelligent lighting explosion-proof wireless gateway integrated control method, which comprises the following steps: constructing a topological graph of explosion-proof lighting equipment; analyzing an illumination blind area of the topological graph, calculating a sensitivity coefficient of the illumination blind area, and deploying anti-explosion illumination equipment of the scene to be illuminated to obtain an illumination scene; determining a safety area of the lighting scene to establish an explosion-proof gateway of the lighting scene, and deploying a pre-trained personnel behavior recognition model and a pre-trained lighting demand analysis model at the explosion-proof gateway; a double-link communication network of the illumination scene and the explosion-proof gateway is established, personnel data and scene environment data of the illumination scene are collected, and personnel behaviors of the illumination scene are analyzed by using the personnel behavior recognition model; and analyzing the illumination demand characteristics of the personnel behaviors, analyzing the illumination demand parameters of the illumination scene by using the illumination demand analysis model, and executing intelligent illumination integrated control of the illumination scene according to the illumination demand parameters. The lighting effect of the lighting scene can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent lighting, and in particular to an intelligent lighting explosion-proof wireless gateway integrated control system. Background Art

[0002] Lighting explosion-proof wireless gateway integrated control refers to the use of specially designed explosion-proof wireless gateways to control and monitor lighting systems in a place where explosive gas or dust and other dangerous environments may exist. This system integrates wireless communication technology, explosion-proof technology and intelligent control technology to ensure remote control, automated management and energy efficiency optimization of lighting equipment under the premise of safety.

[0003] The traditional way of integrated control of lighting explosion-proof wireless gateways usually relies on wired connections, a single communication protocol and manual control. This method lacks intelligent analysis and advanced safety monitoring mechanisms, resulting in insufficient flexibility and poor compatibility, which results in poor lighting effects in lighting scenes. Summary of the invention

[0004] The present invention provides an intelligent lighting explosion-proof wireless gateway integrated control system and method, the main purpose of which is to improve the lighting effect of a lighting scene.

[0005] To achieve the above purpose, the present invention provides an intelligent lighting explosion-proof wireless gateway integrated control system, comprising:

[0006] The topology map construction module is used to obtain scene features of the scene to be illuminated to determine the lighting requirements and explosion-proof requirements of the scene to be illuminated, determine the explosion-proof lighting equipment of the scene to be illuminated according to the explosion-proof requirements, and construct a topology map of the explosion-proof lighting equipment;

[0007] The lighting scene construction module is used to analyze the lighting blind area of ​​the topological map, calculate the sensitivity coefficient of the lighting blind area, and deploy the explosion-proof lighting equipment of the scene to be illuminated based on the sensitivity coefficient and the topological map to obtain the lighting scene;

[0008] The explosion-proof gateway establishment module is used to determine the safe area of ​​the lighting scene to establish an explosion-proof gateway for the lighting scene, and deploy a pre-trained personnel behavior recognition model and a lighting demand analysis model on the explosion-proof gateway;

[0009] The personnel behavior analysis module is used to establish a dual-link communication network between the lighting scene and the explosion-proof gateway, collect personnel data and scene environment data of the lighting scene based on the dual-link communication network, and analyze the personnel behavior of the lighting scene based on the personnel data using the personnel behavior recognition model;

[0010] The lighting integrated control module is used to analyze the lighting demand characteristics of the personnel behavior, and based on the lighting demand characteristics and the scene environment data, use the lighting demand analysis model to analyze the lighting demand parameters of the lighting scene, and execute the intelligent lighting integrated control of the lighting scene according to the lighting demand parameters.

[0011] Optionally, determining the lighting demand and explosion protection demand of the to-be-lighted scene includes:

[0012] Based on the scene characteristics of the to-be-lighted scene, determine the environmental structure, equipment process and potential personnel distribution of the to-be-lighted scene;

[0013] Based on the environmental structure, equipment process and potential personnel distribution, determine the illuminance demand, lighting quality demand, lighting control demand and lighting emergency demand of the to-be-lighted scene;

[0014] According to the illuminance demand, lighting quality demand, lighting control demand and lighting emergency demand, determine the lighting demand of the to-be-lighted scene;

[0015] Based on the scene characteristics, identify the explosion factors of the to-be-lighted scene;

[0016] Analyze the potential risk coefficient of the explosion factors;

[0017] According to the potential risk coefficient, determine the explosion protection demand of the to-be-lighted scene.

[0018] Optionally, analyzing the potential risk coefficient of the explosion factors includes:

[0019] Analyze the factor characteristics of the explosion factors;

[0020] Based on the factor characteristics, determine the factor energy concentration of the explosion factors;

[0021] Identify the ignition source of the explosion factors;

[0022] Calculate the ignition probability of the ignition source;

[0023] Based on the factor energy concentration and the ignition probability, analyze the potential risk coefficient of the explosion factors.

[0024] Optionally, based on the factor energy concentration and the ignition probability, analyzing the potential risk coefficient of the explosion factors includes:

[0025] Identify the confinement index of the explosion factors corresponding to the to-be-lighted scene to analyze the environmental constraint coefficient of the to-be-lighted scene;

[0026] Analyze the safety distance attenuation coefficient of the explosion factors;

[0027] Based on the environmental constraint coefficient, the safety distance attenuation coefficient, the factor energy concentration, and the ignition probability, use the following formula to calculate the potential risk coefficient of the explosion factor:

[0028]

[0029] Wherein, R represents the potential risk coefficient of the explosion factor, E c represents the factor energy concentration, C f represents the environmental constraint coefficient, D s represents the safety distance attenuation coefficient, α represents the environmental risk weight, θ represents the personnel risk weight, P in represents the ignition probability, L env represents the environmental correction factor, L human represents the personnel activity correction factor.

[0030] Optionally, constructing the topology diagram of the explosion-proof lighting device includes:

[0031] Based on the lighting requirements corresponding to the explosion-proof lighting device, analyze the high-frequency lighting area and the low-frequency lighting area of the explosion-proof lighting device;

[0032] According to the high-frequency lighting area and the low-frequency lighting area, determine the installation position of the explosion-proof lighting device;

[0033] Based on the constructed installation position, establish the explosion-proof connection path of the explosion-proof lighting device;

[0034] Based on the explosion-proof connection path and the installation position, construct the topology diagram of the explosion-proof lighting device.

[0035] Optionally, analyzing the lighting blind area of the topology diagram includes:

[0036] Convert the topology diagram into a three-dimensional voxel grid;

[0037] Define the light path of the explosion-proof lighting device corresponding to the topology diagram;

[0038] Analyze the voxel light intensity of the light path in the three-dimensional voxel grid;

[0039] According to the voxel light intensity, mark the blind area voxels of the three-dimensional voxel grid;

[0040] Based on the blind area voxels, determine the lighting blind area of the topology diagram.

[0041] Optionally, analyzing the voxel light intensity of the light path in the three-dimensional voxel grid includes:

[0042] identifying an initial light intensity and a path length of the illumination path;

[0043] determining a transmittance and a reflectance of the illumination path;

[0044] Based on the initial light intensity, the path length, the transmittance and the reflectance, the voxel light intensity of the illumination path at the corresponding voxel point of the three-dimensional voxel grid is calculated using the following formula:

[0045]

[0046] Among them, I d represents the voxel light intensity of the voxel point, I0 represents the initial light intensity of the illumination path, P k represents the transmittance of the kth light path, μ k represents the reflectivity of the kth light path, d k represents the path length of the kth illumination path, m represents the number of illumination paths, Represents a very small constant.

[0047] Optionally, the establishing of a dual-link communication network between the lighting scene and the explosion-proof gateway includes:

[0048] Analyzing the communication requirements of the lighting scene and the explosion-proof gateway;

[0049] Based on the communication requirements, determining a dual-link topology of the lighting scene and the explosion-proof gateway;

[0050] Analyzing the redundancy coefficient of the backup link corresponding to the dual-link topology;

[0051] Deploying a link network of the dual-link topology according to the redundancy coefficient;

[0052] In combination with the link network and the dual-link topology, a dual-link communication network of the lighting scene and the explosion-proof gateway is established.

[0053] Optionally, analyzing the personnel behavior in the lighting scene by using the personnel behavior recognition model based on the personnel data includes:

[0054] Based on the personnel data, extracting personnel action features of the lighting scene using a feature extraction layer of the personnel behavior recognition model;

[0055] Analyzing the type of personnel action in the lighting scene using the category analysis layer of the personnel behavior recognition model according to the personnel action characteristics;

[0056] Based on the personnel action type, the personnel behavior of the lighting scene is determined using the behavior analysis layer of the personnel behavior recognition model.

[0057] An intelligent lighting explosion-proof wireless gateway integrated control method, characterized in that the method includes:

[0058] Obtain the scene characteristics of the scene to be illuminated to determine the lighting requirements and explosion-proof requirements of the scene to be illuminated. According to the explosion-proof requirements, determine the explosion-proof lighting equipment for the scene to be illuminated, and construct a topology map of the explosion-proof lighting equipment;

[0059] Analyze the lighting blind areas of the topology map, calculate the sensitivity coefficient of the lighting blind areas, and deploy the explosion-proof lighting equipment for the scene to be illuminated based on the sensitivity coefficient and the topology map to obtain a lighting scene;

[0060] Determine the safe area of the lighting scene to establish an explosion-proof gateway for the lighting scene, and deploy a pre-trained human behavior recognition model and a lighting demand analysis model on the explosion-proof gateway;

[0061] Establish a dual-link communication network between the lighting scene and the explosion-proof gateway. Based on the dual-link communication network, collect the human data and scene environment data of the lighting scene, and analyze the human behavior of the lighting scene using the human behavior recognition model based on the human data;

[0062] Analyze the lighting demand characteristics of the human behavior. Based on the lighting demand characteristics and the scene environment data, analyze the lighting demand parameters of the lighting scene using the lighting demand analysis model, and perform intelligent lighting integrated control of the lighting scene according to the lighting demand parameters.

[0063] First, by acquiring the characteristics of the scene to be illuminated, the system accurately determines the lighting requirements and explosion-proof requirements, ensuring the scientific and reasonable selection and deployment of explosion-proof lighting equipment. It constructs the topology diagram of the explosion-proof lighting equipment, enabling the lighting system to comprehensively cover the entire scene and avoid the emergence of lighting blind spots. By calculating the sensitivity coefficient of the lighting blind spots and deploying explosion-proof lighting equipment accordingly, the lighting effect is further optimized, and the lighting uniformity and visibility of the scene are improved, providing a strong guarantee for the safety of personnel and equipment. Secondly, the safety area of the lighting scene is determined and an explosion-proof gateway is established, laying the foundation for the safe operation of the system. In the explosion-proof gateway, pre-trained models for personnel behavior recognition and lighting demand analysis are deployed, enabling the system to analyze personnel behavior and lighting demand in real time and accurately, providing a basis for intelligent lighting control. A dual-link communication network between the lighting scene and the explosion-proof gateway is established to ensure the reliability and stability of data transmission. Even if one link fails, the backup link can immediately take over to ensure the continuous operation of the system. In addition, by collecting personnel data and scene environment data of the lighting scene and analyzing personnel behavior using the personnel behavior recognition model, the activity patterns and needs of personnel in the scene can be deeply understood. Combining with the lighting demand analysis model, the system can adjust lighting parameters in real time according to changes in personnel behavior and scene environment, realizing intelligent lighting control. This not only improves the energy efficiency of the lighting system, reduces energy consumption, but also enhances the comfort and satisfaction of personnel. Finally, the system also has good scalability and compatibility, and can be easily integrated with other intelligent systems to achieve a wider range of applications. Therefore, the present invention can improve the power consumption optimization effect of the RK main control chip. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 FIG. is a functional module diagram of an intelligent lighting explosion-proof wireless gateway integrated control system provided by an embodiment of the present invention;

[0065] Figure 2 FIG. is a schematic diagram for constructing a topology of an intelligent lighting explosion-proof wireless gateway integrated control method provided by an embodiment of the present invention;

[0066] Figure 3 FIG. is a schematic flow diagram of an intelligent lighting explosion-proof wireless gateway integrated control method provided by an embodiment of the present invention;

[0067] The implementation, functional features and advantages of the objectives of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0069] In addition, the step timing in the following method embodiments is only an example and is not strictly limited.

[0070] In fact, the server device deployed by the intelligent lighting explosion-proof wireless gateway integrated control system may be composed of one or more devices. The above intelligent lighting explosion-proof wireless gateway integrated control system can be implemented as: a service instance, a virtual machine, or a hardware device. For example, the intelligent lighting explosion-proof wireless gateway integrated control system can be implemented as a service instance deployed on one or more devices in a cloud node. Briefly, the intelligent lighting explosion-proof wireless gateway integrated control system can be understood as a software deployed on a cloud node for providing intelligent lighting explosion-proof wireless gateway integrated control services to each client. Or, the intelligent lighting explosion-proof wireless gateway integrated control system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Or, the intelligent lighting explosion-proof wireless gateway integrated control system can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide intelligent lighting explosion-proof wireless gateway integrated control services to each client.

[0071] In terms of implementation form, the intelligent lighting explosion-proof wireless gateway integrated control system and the client adapt to each other. That is, if the intelligent lighting explosion-proof wireless gateway integrated control system is an application installed on a cloud service platform, the client is a client that establishes a communication connection with the application; or if the intelligent lighting explosion-proof wireless gateway integrated control system is implemented as a website, the client is implemented as a web page; or if the intelligent lighting explosion-proof wireless gateway integrated control system is implemented as a cloud service platform, the client is implemented as a small program in an instant messaging application.

[0072] Refer to Figure 1 As shown, it is a functional module diagram of the intelligent lighting explosion-proof wireless gateway integrated control system provided by an embodiment of the present invention.

[0073] The intelligent lighting explosion-proof wireless gateway integrated control system 100 described in the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be used as an application installed on the cloud (such as a server for intelligent lighting explosion-proof wireless gateway integrated control, a server cluster, etc.), or can also be developed into a website. According to the functions achieved, the intelligent lighting explosion-proof wireless gateway integrated control system 100 includes a topology map construction module 101, a lighting scene construction module 102, an explosion-proof gateway establishment module 103, a personnel behavior analysis module 104, and a lighting integrated control module 105.

[0074] In the embodiment of the present invention, in the tracking based on the intelligent lighting explosion-proof wireless gateway integrated control, each of the above modules can be independently implemented and called with other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. In the intelligent lighting explosion-proof wireless gateway integrated control system provided by the embodiment of the present invention, without modifying the program code, the applicable range of the intelligent lighting explosion-proof wireless gateway integrated control architecture can be adjusted by adding modules and directly calling, so as to achieve cluster-level horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the intelligent lighting explosion-proof wireless gateway integrated control system. In practical applications, the above modules can be set in the same device or different devices, or can also be set in virtual devices, such as service instances in a cloud server.

[0075] Next, specific embodiments are combined to respectively describe the various components and specific working processes of the intelligent lighting explosion-proof wireless gateway integrated control system.

[0076] The topology map construction module 101 is used to obtain the scene characteristics of the to-be-illuminated scene to determine the lighting requirements and explosion-proof requirements of the to-be-illuminated scene, and according to the explosion-proof requirements, determine the explosion-proof lighting equipment of the to-be-illuminated scene and construct a topology map of the explosion-proof lighting equipment.

[0077] The present invention obtains the scene characteristics of the to-be-illuminated scene to determine the lighting requirements and explosion-proof requirements of the to-be-illuminated scene, which can comprehensively and accurately obtain the scene characteristics of the to-be-illuminated scene and determine the detailed information of its lighting requirements and explosion-proof requirements, providing a reliable basis for the subsequent design of the lighting explosion-proof wireless gateway integrated control scheme.

[0078] Specifically, the determination of the lighting requirements and explosion-proof requirements of the to-be-illuminated scene includes:

[0079] Based on the scene characteristics of the to-be-illuminated scene, determine the environmental structure, equipment process, and potential personnel distribution of the to-be-illuminated scene;

[0080] Determine the illuminance requirements, lighting quality requirements, lighting control requirements, and lighting emergency requirements of the scene to be illuminated through the environmental structure, equipment processes, and potential personnel distribution;

[0081] Determine the lighting requirements of the scene to be illuminated according to the illuminance requirements, lighting quality requirements, lighting control requirements, and lighting emergency requirements;

[0082] Based on the scene characteristics, identify the explosion factors of the scene to be illuminated;

[0083] Analyze the potential risk coefficient of the explosion factors;

[0084] Determine the explosion protection requirements of the scene to be illuminated according to the potential risk coefficient.

[0085] Among them, the scene to be illuminated refers to the specific place or area that requires lighting design and implementation. This place can be indoor or outdoor, such as a factory workshop, warehouse, stadium, road, tunnel, etc. The scene characteristics refer to the set of various physical, chemical, environmental, operation, and personnel-related attributes and parameters that describe the scene to be illuminated. The environmental structure refers to the physical space layout and structure of the scene to be illuminated. The equipment processes refer to the types of equipment, operating methods, and related production process flows existing in the scene to be illuminated. The potential personnel distribution refers to the areas, densities, and flow patterns where personnel may appear in the scene to be illuminated under normal operations or emergencies. The illuminance requirement refers to the minimum light level required in different areas of the scene to be illuminated to meet specific visual task requirements. The lighting quality requirements include requirements such as glare, light color, and uniformity. The lighting control requirement refers to the requirement for adjusting and controlling the lighting system according to different usage scenarios and times. The lighting emergency requirements include requirements such as emergency illuminance and emergency lighting time. The explosion factors refer to the risk factors that may cause an explosion in the scene to be illuminated, such as flammable substances and oxidizing substances. The potential risk coefficient refers to the quantitative index of the possibility and severity of an explosion evaluated based on factors such as the nature, quantity, concentration, release method, ventilation conditions, and likelihood of ignition sources of the explosion factors. The explosion protection requirements refer to the explosion protection measures and requirements put forward for the electrical equipment, lighting system, and other facilities in the scene to be illuminated to prevent the occurrence of an explosion or mitigate the consequences of an explosion.

[0086] Furthermore, the analysis of the potential risk coefficient of the explosion factors includes:

[0087] Analyze the factor characteristics of the explosion factors;

[0088] Based on the factor characteristics, determine the factor energy concentration of the explosion factors;

[0089] Identify the ignition sources of the explosion factors;

[0090] Calculate the ignition probability of the ignition source;

[0091] Based on the factor energy concentration and the ignition probability, analyze the potential risk coefficient of the explosion factor.

[0092] Wherein, the factor characteristics refer to the physical, chemical properties and behaviors describing the explosion factor itself, the factor energy concentration refers to the concentration of the explosion factor in a specific environment, the ignition source refers to an energy source capable of triggering the ignition of the explosion factor, such as energies like temperature, electric arc, spark, etc., and the ignition probability refers to the possibility of the ignition source triggering the ignition of the explosion factor.

[0093] Furthermore, the analyzing the potential risk coefficient of the explosion factor based on the factor energy concentration and the ignition probability includes:

[0094] Identify the confinement index of the explosion factor corresponding to the scene to be illuminated to analyze the environmental constraint coefficient of the scene to be illuminated;

[0095] Analyze the safety distance attenuation coefficient of the explosion factor;

[0096] Based on the environmental constraint coefficient, the safety distance attenuation coefficient, the factor energy concentration, and the ignition probability, use the following formula to calculate the potential risk coefficient of the explosion factor:

[0097]

[0098] Wherein, R represents the potential risk coefficient of the explosion factor, E c represents the factor energy concentration, C f represents the environmental constraint coefficient, D s represents the safety distance attenuation coefficient, α represents the environmental risk weight, θ represents the personnel risk weight, P in represents the ignition probability, L env represents the environmental correction factor, L human represents the personnel activity correction factor.

[0099] Among them, the hermeticity index refers to an index describing the hermeticity degree of the scene to be illuminated, the environmental constraint coefficient refers to the coefficient reflecting the constraint degree of the scene to be illuminated on the diffusion and accumulation of explosion factors based on factors such as the hermeticity index, the safety distance attenuation coefficient refers to the coefficient by which the energy and influence degree of the explosion factor gradually weaken as the distance increases, the environmental risk weight refers to the risk weight given to environmental factors when calculating the potential risk coefficient, the personnel risk weight refers to the risk weight given to personnel factors when calculating the potential risk coefficient, the environmental correction factor refers to the factor for correcting the environmental constraint coefficient, considering special influences under specific environmental conditions such as temperature, humidity, air pressure, etc., and the personnel activity correction factor refers to the factor for correcting the personnel risk weight, considering the activity frequency, duration, protection measures, etc. of personnel in the scene.

[0100] According to the explosion-proof requirements, the present invention determines the explosion-proof lighting equipment for the scene to be illuminated, and constructs a topology diagram of the explosion-proof lighting equipment to provide a basis for subsequent lighting control. Among them, the explosion-proof lighting equipment refers to the lighting equipment designed for safe use in places with dangerous environments such as explosive gases or dust, and the topology diagram refers to a graphical representation used to represent the connection relationships between various devices and components in a lighting system or an explosion-proof system.

[0101] Specifically, the construction of the topology diagram of the explosion-proof lighting equipment includes:

[0102] Based on the lighting requirements corresponding to the explosion-proof lighting equipment, analyze the high-frequency lighting area and the low-frequency lighting area of the explosion-proof lighting equipment;

[0103] According to the high-frequency lighting area and the low-frequency lighting area, determine the installation positions of the explosion-proof lighting equipment;

[0104] Based on the construction of the installation positions, establish the explosion-proof connection paths of the explosion-proof lighting equipment;

[0105] Based on the explosion-proof connection paths and the installation positions, construct the topology diagram of the explosion-proof lighting equipment.

[0106] Among them, the high-frequency lighting area refers to the area in the scene to be illuminated that requires frequent, continuous or high-brightness lighting, the low-frequency lighting area refers to the area in the scene to be illuminated with relatively low lighting requirements and does not require frequent or high-brightness lighting, the installation position refers to the position where the explosion-proof lighting equipment needs to be installed, the explosion-proof connection path refers to the path formed by explosion-proof components such as cables and junction boxes connecting various explosion-proof lighting equipment, power supplies, control equipment, etc. in the explosion-proof lighting system, and the topology diagram refers to a graphical representation used to represent the connection relationships between various devices and components in the explosion-proof lighting system.

[0107] Optionally, based on the constructed installation location and quantity, determining the explosion-proof connection path of the explosion-proof lighting equipment can be carried out through cable laying technology.

[0108] Referring to Figure 2 As shown, it is a schematic diagram of the construction of a topology map of an intelligent lighting explosion-proof wireless gateway integrated control method provided by an embodiment of the present invention: Among them, the explosion-proof area level refers to the area classification divided according to factors such as the type, concentration, frequency of occurrence, and duration of explosive gases in the on-site environment. The explosion-proof area levels include Zone 0, Zone 1, and Zone 2, etc. Among them, Zone 0 is a relatively more dangerous area that requires a higher level of explosion-proof protection. The equipment installation coordinates refer to the coordinate points indicating the specific positions of the equipment in space. The connection relationship matrix refers to the matrix used to represent the connection relationship between equipment. In this matrix, rows and columns represent different equipment respectively, and the elements in the matrix represent the connection status between equipment (such as connected, not connected, etc.). The safety constraint conditions refer to a series of regulations that must be complied with when designing and operating an explosion-proof lighting system, including but not limited to the explosion-proof certification of equipment, temperature and humidity limitations of the installation environment, and safety of power supply.

[0109] The lighting scene construction module 102 is used to analyze the lighting blind areas of the topology map, calculate the sensitivity coefficients of the lighting blind areas, and deploy explosion-proof lighting equipment for the to-be-illuminated scene based on the sensitivity coefficients and the topology map to obtain a lighting scene.

[0110] The present invention analyzes the lighting blind areas of the topology map to ensure the rationality and effectiveness of the design of the explosion-proof lighting system.

[0111] Specifically, the analysis of the lighting blind areas of the topology map includes:

[0112] Converting the topology map into a three-dimensional voxel grid;

[0113] Defining the light paths corresponding to the explosion-proof lighting equipment of the topology map;

[0114] Analyzing the voxel light intensity of the light paths in the three-dimensional voxel grid;

[0115] Marking the blind area voxels of the three-dimensional voxel grid according to the voxel light intensity;

[0116] Determining the lighting blind areas of the topology map based on the blind area voxels.

[0117] Among them, the three-dimensional voxel grid refers to a three-dimensional grid structure composed of multiple voxels, the illumination path refers to the propagation direction and path of the light emitted by the explosion-proof lighting equipment in space, the illumination attenuation coefficient refers to the intensity attenuation degree caused by factors such as medium absorption and scattering during the propagation process, the voxel light intensity refers to the light intensity value of the voxel under the illumination path in the three-dimensional voxel grid, and the lighting blind spot refers to the insufficiently illuminated area caused by factors such as lighting equipment layout, lighting path, and attenuation.

[0118] Optionally, the converting the topological map into a three-dimensional voxel grid may be performed by dividing the topological map into cubic grids of equal size through a spatial discretization technique.

[0119] Further, the analyzing the voxel light intensity of the illumination path in the three-dimensional voxel grid includes:

[0120] identifying an initial light intensity and a path length of the illumination path;

[0121] determining a transmittance and a reflectance of the illumination path;

[0122] Based on the initial light intensity, the path length, the transmittance and the reflectance, the voxel light intensity of the illumination path at the corresponding voxel point of the three-dimensional voxel grid is calculated using the following formula:

[0123]

[0124] Among them, I d represents the voxel light intensity of the voxel point, I0 represents the initial light intensity of the illumination path, P k represents the transmittance of the kth light path, μ k represents the reflectivity of the kth light path, d k represents the path length of the kth illumination path, m represents the number of illumination paths, Represents a very small constant.

[0125] The initial light intensity refers to the energy intensity of the light when it is directly emitted from the light source, the path length refers to the straight-line distance from the k-1th reflection point to the kth interaction point, the transmittance refers to the energy ratio retained when the light passes through the medium, the reflectivity refers to the energy ratio retained when the light is reflected on the surface, and the minimum constant refers to a small positive number that prevents the denominator from being zero when the path length is zero, which is 10 -6 .

[0126] The present invention calculates the sensitivity coefficient of the lighting blind area to provide a basis for subsequent lighting optimization. The sensitivity coefficient refers to the importance of the lighting blind area in the lighting scene. In detail, the sensitivity coefficient can be obtained by analyzing the sensitive characteristics of the lighting blind area.

[0127] Based on the sensitivity coefficient and the topological map, the explosion-proof lighting equipment for the to-be-illuminated scene is deployed in the present invention, so that the complete illumination of the to-be-illuminated scene can be realized in the illumination scene. Wherein, the illumination scene refers to the to-be-illuminated scene where illumination can be realized.

[0128] The explosion-proof gateway establishment module 103 is used to determine the safe area of the illumination scene, establish the explosion-proof gateway of the illumination scene, and deploy the pre-trained human behavior recognition model and light demand analysis model on the explosion-proof gateway.

[0129] It should be explained that the safe area refers to the area with a low explosion possibility in the explosion-proof lighting scene, and the explosion-proof gateway refers to the communication equipment used in the dangerous environment, which acts as an interface between the safe area and the non-safe area (or called the dangerous area).

[0130] In the present invention, the pre-trained human behavior recognition model and light demand analysis model are deployed on the explosion-proof gateway to realize intelligent lighting control and safety management, improving the energy efficiency and safety of the lighting system. Wherein, the human behavior recognition model refers to the model that uses computer vision and machine learning technologies to analyze and identify the human behavior in the video. Specifically, the human behavior recognition model mainly uses the labeled video data set to train the convolutional neural network. These video data sets usually contain video clips of human behavior in various scenarios and are attached with corresponding behavior labels (such as walking, running, waving, etc.). The light demand analysis model refers to the model used to analyze and predict the light demand in a specific scene. Specifically, the light demand analysis model mainly uses the data set containing factors such as environmental conditions, activity types, personnel distribution, and task requirements for training, and the light demand analysis model can be trained using a variety of machine learning methods.

[0131] The human behavior analysis module 104 is used to establish a dual-link communication network between the illumination scene and the explosion-proof gateway. Based on the dual-link communication network, the personnel data and scene environment data of the illumination scene are collected, and based on the personnel data, the human behavior in the illumination scene is analyzed using the human behavior recognition model.

[0132] In the present invention, establishing the dual-link communication network between the illumination scene and the explosion-proof gateway can establish a stable, reliable and safe dual-link communication network, meet the communication requirements of the illumination scene and the explosion-proof gateway, and improve the light control stability of the illumination scene.

[0133] Specifically, establishing the dual-link communication network between the illumination scene and the explosion-proof gateway includes:

[0134] Analyze the communication requirements between the illumination scene and the explosion-proof gateway;

[0135] Based on the communication requirements, determine the dual-link topology of the lighting scenario and the explosion-proof gateway;

[0136] Analyze the redundancy coefficient of the standby link corresponding to the dual-link topology;

[0137] According to the redundancy coefficient, deploy the link network of the dual-link topology;

[0138] Combine the link network and the dual-link topology to establish a dual-link communication network for the lighting scenario and the explosion-proof gateway.

[0139] Wherein, the communication requirements refer to the specific requirements for data transmission and communication between the lighting scenario and the explosion-proof gateway, the dual-link topology refers to the structure of using two independent communication links to connect the lighting scenario and the explosion-proof gateway in network design, the redundancy coefficient refers to the redundancy degree of the standby link relative to the main link, the link network refers to the physical or logical network actually deployed according to the communication requirements and the dual-link topology design, and the dual-link communication network refers to the finally established communication network with redundancy characteristics for connecting the lighting scenario and the explosion-proof gateway.

[0140] Optionally, the determining of the dual-link topology of the lighting scenario and the explosion-proof gateway based on the communication requirements can be constructed using dual wireless links.

[0141] Optionally, the analysis of the redundancy coefficient of the standby link corresponding to the dual-link topology can be determined by factors such as bandwidth ratio, delay difference, and failover time.

[0142] It should be explained that the personnel data refers to various information related to the personnel in the lighting scenario, including personnel location, movement trajectory, activity status and other data, and the scenario environment data refers to various information describing the environmental conditions in the lighting scenario, including lighting conditions, temperature, humidity, gas, smoke and other information.

[0143] Based on the personnel data, the present invention analyzes the personnel behavior in the lighting scenario by using the personnel behavior recognition model, which can effectively analyze the personnel behavior in the lighting scenario by using the personnel behavior recognition model and provide data support for intelligent lighting control.

[0144] Specifically, the analyzing of the personnel behavior in the lighting scenario based on the personnel data by using the personnel behavior recognition model includes:

[0145] Based on the personnel data, use the feature extraction layer of the personnel behavior recognition model to extract the personnel action features of the lighting scenario;

[0146] According to the personnel movement characteristics, analyze the personnel movement types of the lighting scene by using the category analysis layer of the personnel behavior recognition model;

[0147] Based on the personnel movement types, determine the personnel behavior of the lighting scene by using the behavior analysis layer of the personnel behavior recognition model.

[0148] Wherein, the feature extraction layer refers to the layer for recognizing and extracting key features, the personnel movement characteristics refer to the key information extracted from personnel data that can represent personnel movements, such as human body postures, movement directions, speeds, etc., the category analysis layer refers to the layer for judging the personnel movement types, and the personnel movement types refer to the classification results of personnel movements judged by the category analysis layer according to the personnel movement characteristics. For example, the personnel movement types may include walking, running, waving, bending down, etc., the behavior analysis layer refers to the layer for further analyzing and determining the overall behavior of personnel based on the personnel movement types provided by the category analysis layer, and the personnel behavior refers to the overall activity performance of personnel in the lighting scene determined according to the personnel movement types and other relevant information.

[0149] Optionally, the personnel movement characteristics of the lighting scene can be extracted by using a feature matching function.

[0150] The lighting integration control module 105 is configured to analyze the lighting demand characteristics of the personnel behavior, based on the lighting demand characteristics and the scene environment data, analyze the lighting demand parameters of the lighting scene by using the lighting demand analysis model, and perform intelligent lighting integration control of the lighting scene according to the lighting demand parameters.

[0151] The analysis of the lighting demand characteristics of the personnel behavior in the present invention can be used as the basis for subsequent lighting control analysis, improving the reliability of light control in the lighting scene. Among them, the lighting demand characteristics refer to the lighting characteristics required by the personnel behavior, such as high-intensity lighting, long-time lighting and other demand characteristics.

[0152] Based on the lighting demand characteristics and the scene environment data, the present invention analyzes the lighting demand parameters of the lighting scene by using the lighting demand analysis model, which can realize real-time lighting control of the lighting scene. Among them, the lighting demand parameters refer to the various indicators used to describe and quantify the lighting requirements of a specific lighting scene, including parameters such as illuminance, color temperature, color rendering index, and illuminance uniformity.

[0153] First, by obtaining the characteristics of the scene to be illuminated, the system accurately determines the lighting requirements and explosion-proof requirements, ensuring the scientific and reasonable selection and deployment of explosion-proof lighting equipment. It constructs a topology map of the explosion-proof lighting equipment, enabling the lighting system to fully cover the entire scene and avoid the emergence of lighting blind spots. By calculating the sensitivity coefficient of the lighting blind spots and deploying the explosion-proof lighting equipment accordingly, the lighting effect is further optimized, improving the lighting uniformity and visibility of the scene, and providing strong protection for the safety of personnel and equipment. Secondly, determining the safe area of the lighting scene and establishing an explosion-proof gateway lays the foundation for the safe operation of the system. Deploying a pre-trained human behavior recognition model and a lighting demand analysis model in the explosion-proof gateway enables the system to analyze human behavior and lighting demands in real time and accurately, providing a basis for intelligent lighting control. Establishing a dual-link communication network between the lighting scene and the explosion-proof gateway ensures the reliability and stability of data transmission. Even if one link fails, the backup link can immediately take over to ensure the continuous operation of the system. In addition, by collecting the personnel data and scene environment data of the lighting scene and analyzing human behavior using the human behavior recognition model, the activity patterns and demands of personnel in the scene can be deeply understood. Combining with the lighting demand analysis model, the system can adjust the lighting parameters in real time according to changes in human behavior and the scene environment, achieving intelligent lighting control. This not only improves the energy efficiency of the lighting system, reduces energy consumption, but also enhances the comfort and satisfaction of personnel. Finally, the system also has good scalability and compatibility, and can be easily integrated with other intelligent systems for wider applications. Therefore, the present invention can improve the power consumption optimization effect of the RK main control chip.

[0154] As Figure 3 shown, it is a schematic flowchart of an intelligent lighting explosion-proof wireless gateway integrated control method provided by an embodiment of the present invention. In this embodiment, the intelligent lighting explosion-proof wireless gateway integrated control method includes:

[0155] Obtain the scene characteristics of the scene to be illuminated to determine the lighting requirements and explosion-proof requirements of the scene to be illuminated. According to the explosion-proof requirements, determine the explosion-proof lighting equipment for the scene to be illuminated and construct a topology map of the explosion-proof lighting equipment;

[0156] Analyze the lighting blind spots of the topology map, calculate the sensitivity coefficient of the lighting blind spots, and based on the sensitivity coefficient and the topology map, deploy the explosion-proof lighting equipment for the scene to be illuminated to obtain a lighting scene;

[0157] Determine the safe area of the lighting scene to establish an explosion-proof gateway for the lighting scene, and deploy a pre-trained human behavior recognition model and a lighting demand analysis model in the explosion-proof gateway;

[0158] Establish a dual-link communication network for the lighting scene and the explosion-proof gateway. Based on the dual-link communication network, collect the personnel data and scene environment data of the lighting scene. Based on the personnel data, use the personnel behavior recognition model to analyze the personnel behavior in the lighting scene;

[0159] Analyze the lighting demand characteristics of the personnel behavior. Based on the lighting demand characteristics and the scene environment data, use the lighting demand analysis model to analyze the lighting demand parameters of the lighting scene. According to the lighting demand parameters, perform intelligent lighting integrated control of the lighting scene.

[0160] In several embodiments provided by the present invention, it should be understood that the provided systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0161] In addition, each functional module in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a hardware plus software functional module.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent lighting explosion-proof wireless gateway integrated control system, characterized in that, The intelligent lighting explosion-proof wireless gateway integrated control system includes: Obtain the scene characteristics of the scene to be illuminated, determine the lighting requirements and explosion-proof requirements of the scene to be illuminated, determine the explosion-proof lighting equipment for the scene to be illuminated according to the explosion-proof requirements, and construct a topology map of the explosion-proof lighting equipment; Analyze the lighting blind areas of the topology map, calculate the sensitivity coefficient of the lighting blind areas, and deploy the explosion-proof lighting equipment for the scene to be illuminated based on the sensitivity coefficient and the topology map to obtain an illuminated scene; Determine the safe area of the illuminated scene, establish an explosion-proof gateway for the illuminated scene, and deploy a pre-trained personnel behavior recognition model and a lighting demand analysis model on the explosion-proof gateway; Establish a dual-link communication network between the illuminated scene and the explosion-proof gateway, collect personnel data and scene environment data of the illuminated scene based on the dual-link communication network, and analyze the personnel behavior of the illuminated scene using the personnel behavior recognition model based on the personnel data; Analyze the lighting demand characteristics of the personnel behavior, analyze the lighting demand parameters of the illuminated scene using the lighting demand analysis model based on the lighting demand characteristics and the scene environment data, and perform intelligent lighting integrated control of the illuminated scene according to the lighting demand parameters; 2. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 1, characterized in that, Determining the lighting requirements and explosion-proof requirements of the scene to be illuminated includes: Based on the scene characteristics of the scene to be illuminated, determine the environmental structure, equipment process, and potential personnel distribution of the scene to be illuminated; Determine the illuminance requirements, lighting quality requirements, lighting control requirements, and lighting emergency requirements of the scene to be illuminated through the environmental structure, equipment process, and potential personnel distribution; Determine the lighting requirements of the scene to be illuminated according to the illuminance requirements, lighting quality requirements, lighting control requirements, and lighting emergency requirements; Based on the scene characteristics, identify the explosion factors of the scene to be illuminated; Analyze the potential risk coefficient of the explosion factors; Determine the explosion-proof requirements of the scene to be illuminated according to the potential risk coefficient; 3. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 2, characterized in that Analyzing the potential risk coefficient of the explosion factors includes: Analyze the factor characteristics of the explosion factors; Based on the factor characteristics, determine the factor energy concentration of the explosion factors; Identify the ignition sources of the explosion factors; Calculate the ignition probability of the ignition sources; Analyze the potential risk coefficient of the explosion factors based on the factor energy concentration and the ignition probability; 4. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 3, characterized in that, Based on the factor energy concentration and the ignition probability, analyzing the potential risk coefficient of the explosion factors includes: Identify the confinement index of the explosion factors corresponding to the scene to be illuminated to analyze the environmental constraint coefficient of the scene to be illuminated; Analyze the safety distance attenuation coefficient of the explosion factors; Based on the environmental constraint coefficient, the safety distance attenuation coefficient, the factor energy concentration, and the ignition probability, use the following formula to calculate the potential risk coefficient of the explosion factors: Among them, R represents the potential risk coefficient of the explosion factor, E c represents the factor energy concentration, C f represents the environmental constraint coefficient, D s represents the safety distance attenuation coefficient, α represents the environmental risk weight, θ represents the personnel risk weight, P in represents the ignition probability, L env represents the environmental correction factor, L human represents the personnel activity correction factor.

5. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 4, wherein Constructing the topology map of the explosion-proof lighting equipment includes: Based on the lighting requirements corresponding to the explosion-proof lighting equipment, analyze the high-frequency lighting area and low-frequency lighting area of the explosion-proof lighting equipment; According to the high-frequency lighting area and low-frequency lighting area, determine the installation position of the explosion-proof lighting equipment; Based on constructing the installation position, establish the explosion-proof connection path of the explosion-proof lighting equipment; Based on the explosion-proof connection path and the installation position, construct the topology diagram of the explosion-proof lighting equipment.

6. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 5, wherein, The analysis of the lighting blind area of the topology diagram includes: Convert the topology diagram into a three-dimensional voxel grid; Define the light path corresponding to the explosion-proof lighting equipment of the topology diagram; Analyze the voxel light intensity of the light path in the three-dimensional voxel grid; According to the voxel light intensity, mark the blind area voxels of the three-dimensional voxel grid; Based on the blind area voxels, determine the lighting blind area of the topology diagram.

7. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 6, wherein, The analysis of the voxel light intensity of the light path in the three-dimensional voxel grid includes: Identify the initial light intensity and path length of the light path; Determine the transmittance and reflectivity of the light path; Based on the initial light intensity, the path length, the transmittance, and the reflectivity, use the following formula to calculate the voxel light intensity of the light path at the corresponding voxel point in the three-dimensional voxel grid: Among them, I d represents the voxel light intensity of the voxel point, I0 represents the initial light intensity of the illumination path, P k represents the transmittance of the kth light path, μ k represents the reflectivity of the kth light path, d k represents the path length of the kth illumination path, m represents the number of illumination paths, Represents a very small constant.

8. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 7, wherein The establishment of the dual-link communication network between the lighting scene and the explosion-proof gateway includes: Analyze the communication requirements between the lighting scene and the explosion-proof gateway; Based on the communication requirements, determine the dual-link topology between the lighting scene and the explosion-proof gateway; Analyze the redundancy coefficient of the standby link corresponding to the dual-link topology; According to the redundancy coefficient, deploy the link network of the dual-link topology; Combined with the link network and the dual-link topology, establish the dual-link communication network between the lighting scene and the explosion-proof gateway.

9. The intelligent lighting explosion-proof wireless gateway integrated control system according to claim 8, characterized in that, The use of the personnel behavior recognition model to analyze the personnel behavior in the lighting scene based on the personnel data includes: Based on the personnel data, use the feature extraction layer of the personnel behavior recognition model to extract the personnel action features in the lighting scene; According to the personnel action features, use the category analysis layer of the personnel behavior recognition model to analyze the personnel action types in the lighting scene; Based on the personnel action types, use the behavior analysis layer of the personnel behavior recognition model to determine the personnel behavior in the lighting scene.

10. An intelligent lighting explosion-proof wireless gateway integrated control method, characterized in that, The method includes: Obtain the scene features of the to-be-illuminated scene to determine the lighting requirements and explosion-proof requirements of the to-be-illuminated scene. According to the explosion-proof requirements, determine the explosion-proof lighting equipment of the to-be-illuminated scene, and construct the topology diagram of the explosion-proof lighting equipment; Analyze the lighting blind area of the topology diagram, calculate the sensitivity coefficient of the lighting blind area, and based on the sensitivity coefficient and the topology diagram, deploy the explosion-proof lighting equipment of the to-be-illuminated scene to obtain the lighting scene; Determine the safe area of the lighting scene to establish the explosion-proof gateway of the lighting scene, and deploy the pre-trained personnel behavior recognition model and light demand analysis model on the explosion-proof gateway; Establish a dual - link communication network for the lighting scene and the explosion - proof gateway. Based on the dual - link communication network, collect the personnel data and scene environment data of the lighting scene. Based on the personnel data, use the personnel behavior recognition model to analyze the personnel behavior in the lighting scene; Analyze the lighting demand characteristics of the personnel behavior. Based on the lighting demand characteristics and the scene environment data, use the lighting demand analysis model to analyze the lighting demand parameters of the lighting scene. According to the lighting demand parameters, perform the intelligent lighting integrated control of the lighting scene.

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