A multi-information fusion-based anti-explosion LED lighting method and system

Abstract

A method, system, electronic device, and storage medium for explosion-proof LED lighting based on multi-information fusion are disclosed, relating to the field of lighting control technology. The method includes: acquiring microwave signals from a lighting area, and determining the number and location of personnel within the lighting area based on the microwave signals; determining the explosion-proof LED light to be adjusted within the lighting area based on the number and location of personnel; acquiring the ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED light is located; if the ambient illuminance, explosive concentration, and lamp temperature meet preset lighting conditions, determining the target illuminance of the explosion-proof LED light based on the ambient illuminance, explosive concentration, and lamp temperature; and adjusting the explosion-proof LED light to the target illuminance. Implementing the technical solution provided in this application achieves the effect of improving the lighting efficiency of explosion-proof LED lights.

Description

Technical Field

[0001] This application relates to the field of lighting control technology, specifically to an explosion-proof LED lighting method, system, electronic device, and storage medium based on multi-information fusion. Background Technology

[0002] With the continuous improvement of industrial safety standards and the rapid development of lighting technology, ensuring the safety and efficiency of lighting equipment in potentially hazardous environments has become an important research and application area. Especially in industries such as petrochemicals, mining, and dust processing, flammable and explosive gases or dusts are often present in the environment. These conditions require lighting equipment not only to meet basic lighting functions but also to have explosion-proof capabilities. LED lighting, with its advantages of energy saving, environmental friendliness, and long service life, has become an ideal choice for lighting in explosive hazardous environments.

[0003] Currently, existing explosion-proof LED lighting methods typically employ fixed lighting modes to control the LED explosion-proof lights. However, in practical applications, due to the complex and variable environment of the areas requiring illumination, coupled with significant personnel movement, using only fixed lighting modes often makes it difficult to dynamically adjust to changing environmental conditions and personnel movements, resulting in low lighting efficiency for explosion-proof LED lights. Summary of the Invention

[0004] This application provides a method, system, electronic device, and storage medium for explosion-proof LED lighting based on multi-information fusion, which can improve the lighting efficiency of explosion-proof LED lights.

[0005] In a first aspect, this application provides an explosion-proof LED lighting method based on multi-information fusion, comprising:

[0006] The microwave signal of the illuminated area is acquired, and based on the microwave signal, the number of people and their distribution location within the illuminated area are determined.

[0007] Based on the number and distribution of personnel, determine the explosion-proof LED lights to be adjusted within the lighting area;

[0008] The ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED lamp is located are obtained; if the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, explosive concentration, and lamp temperature.

[0009] Adjust the explosion-proof LED light to the target illuminance.

[0010] By employing the above technical solution, microwave signals from the illuminated area can be acquired, allowing for real-time determination of the number and distribution of personnel within the area. This enables the selection of explosion-proof LED lighting fixtures that require adjustment, achieving precise lighting control in critical areas. Furthermore, the system dynamically acquires data on ambient illuminance, explosive concentration, and fixture temperature at the selected LED fixture's location, determining whether the current environment is suitable for activating the explosion-proof LED lighting based on preset conditions. If the environmental parameters meet the requirements, the system calculates the target illuminance value for the LED fixture and precisely adjusts the LED output to achieve this target. This technical solution combines real-time monitoring of personnel location and environmental parameters—integrating information from multiple sensors—to provide real-time insights into the distribution of personnel and multi-dimensional environmental parameters within the area. Based on this, it enables dynamic adaptive adjustment of the illuminance of explosion-proof LED lighting fixtures in different areas, thereby improving the lighting efficiency of the explosion-proof LED lights.

[0011] Optionally, the timestamp and frequency of the microwave signal are obtained; a frequency distribution curve of the microwave signal is generated based on the timestamp and the frequency; anomalies in the frequency distribution curve with a frequency change rate greater than a preset change rate are identified, and the number of personnel is determined based on the number of anomalies; the signal strength and azimuth of the microwave signal are obtained, and the personnel distribution location is determined based on the signal strength and the azimuth.

[0012] By employing the above technical solution, the system acquires the timestamp and frequency information of microwave signals, generates microwave frequency distribution curves, analyzes the frequency variations of the curves, and uses this information to determine the number of people in the area. Simultaneously, acquiring the intensity and azimuth information of the microwave signals allows for accurate location of people within the area. This comprehensive analysis of the multidimensional characteristics of microwave signals, including parameters such as time, frequency, intensity, and direction, enables precise determination of the number and location of people within a given area.

[0013] Optionally, the lighting area is divided into several sub-areas; the number of sub-personnel corresponding to the location of each sub-area is determined according to the number of personnel and their distribution location; for each sub-area, it is determined whether the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to a preset number of personnel; if the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel, then the explosion-proof LED lights in the sub-area are used as the explosion-proof LED lights to be adjusted in the lighting area.

[0014] By adopting the above technical solution, the lighting area is divided into multiple sub-areas, enabling fine-grained determination of personnel distribution within each area. Based on the detected total number of people and their locations, the specific number of people in each sub-area is determined. For each sub-area, it is determined whether the number of people in that area reaches a preset value. If the number of people in a sub-area is greater than or equal to the preset value, then all explosion-proof LED lights in that area are identified as lights requiring adjustment. This allows for precise dimming of LED lights only in key sub-areas where the number of people reaches the preset value, rather than blindly adjusting all lights in the entire area.

[0015] Optionally, if the ambient illuminance is less than a preset illuminance, the explosive concentration is less than a preset concentration, and the lamp temperature is less than a preset temperature, then the lighting risk value of the explosion-proof LED lamp is calculated based on the ambient illuminance, the explosive concentration, and the lamp temperature; and based on the lighting risk value, the target illuminance corresponding to the explosion-proof LED lamp is matched in the database.

[0016] By adopting the above technical solution, when parameters such as ambient illuminance, explosive gas concentration, and lamp temperature are all within safe ranges, the system can calculate a lighting risk value. This value comprehensively considers the suitability of the current environment for explosion-proof lighting. Based on this lighting risk value, the corresponding explosion-proof LED target illuminance value can be quickly obtained from the database. In this way, by calculating the risk value, a quantitative assessment of the current environment can be performed, and the appropriate lighting brightness for the LED can be quickly determined. Compared to judging a single parameter, calculating the risk value can more comprehensively and accurately assess the environmental impact, and matching the target illuminance based on the database simplifies the calculation and accelerates the dimming response.

[0017] Optionally, the ambient illuminance, the explosive concentration, and the lamp temperature are substituted into a preset formula to obtain the lighting risk value of the explosion-proof LED lamp; wherein, the preset formula is:

[0018]

[0019] In the formula, R represents the lighting risk value of the explosion-proof LED lamp, k1 represents the first risk factor of the explosive concentration and the lamp temperature, C represents the explosive concentration, T represents the lamp temperature, k represents the second risk factor of the explosive concentration and the ambient illuminance, L represents the ambient illuminance, A represents the baseline environmental factor, α represents the risk coefficient of the baseline environmental factor, and k3 represents the third risk factor of the ambient illuminance.

[0020] By adopting the above technical solution, a lighting risk calculation formula is pre-established. The ambient illuminance, explosive gas concentration, and lamp temperature, obtained through detection, are substituted into the formula as variables to calculate a numerical lighting risk assessment value. This algorithmic calculation method can comprehensively calculate multiple environmental parameters to assess their impact on explosion-proof lighting. By adjusting the weights of each parameter in the formula, optimization can be performed for different application scenarios. The calculated risk value can intuitively determine the suitability of the current environment for the use of explosion-proof LEDs; the higher the value, the less suitable the environment is for turning on explosion-proof lighting.

[0021] Optionally, if at least one of the ambient illuminance, the explosive concentration, and the lamp temperature is greater than or equal to a preset threshold corresponding to the parameter, the explosion-proof LED lamp is switched off. The preset threshold includes the preset illuminance, the preset concentration, and the preset temperature.

[0022] By employing the above technical solution, the system continuously monitors ambient illuminance, explosive gas concentration, and luminaire temperature parameters, comparing them with their respective preset safety thresholds. When any of these parameters reaches or exceeds its corresponding threshold, the system immediately cuts off the power to the explosion-proof LED, turning it off and stopping the lighting output. By monitoring multiple environmental parameters and comparing them with thresholds, the system can quickly shut down the LED when an anomaly occurs, avoiding safety hazards or equipment damage from continued operation. Compared to monitoring only a single parameter, this solution can more comprehensively assess environmental risks and promptly shut down LED lighting in abnormal environmental conditions, improving emergency response speed.

[0023] Optionally, determine whether there are personnel in the illuminated area; if there are no personnel in the illuminated area, turn the explosion-proof LED light off.

[0024] By adopting the above technical solution, the presence of personnel in the illuminated area can be determined through detection methods. When it is determined that no personnel are present in the area, the explosion-proof LED lights in that area are switched off. This targeted on / off control can promptly cut off the LED power supply when no one is in the area, avoiding unnecessary energy waste. Compared with traditional timer switches, it can significantly improve the energy-saving effect of explosion-proof lighting, prevent LEDs from working for extended periods when no one is present, extend the lifespan of the LED light source, and reduce unnecessary spare parts replacement costs.

[0025] A second aspect of this application provides an explosion-proof LED lighting system based on multi-information fusion, the system comprising:

[0026] The information acquisition module is used to acquire microwave signals from the illuminated area and, based on the microwave signals, determine the number of people and their distribution locations within the illuminated area.

[0027] An explosion-proof LED light determination module is used to determine the explosion-proof LED lights to be adjusted within the lighting area based on the number of personnel and their distribution location.

[0028] The information fusion module is used to obtain the ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED lamp is located; if the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, explosive concentration, and lamp temperature.

[0029] An explosion-proof LED light adjustment module is used to adjust the explosion-proof LED light to the target illuminance.

[0030] A third aspect of this application provides an electronic device including a memory, a processor, and a program stored in the memory and executable on the processor, the program being loaded and executed by the processor to implement an explosion-proof LED lighting method based on multi-information fusion.

[0031] In a fourth aspect, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement an explosion-proof LED lighting method based on multi-information fusion.

[0032] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0033] By adopting the technical solution of this application, microwave signals from the lighting area can be acquired, allowing for real-time determination of the number and distribution of personnel within the area. This enables the selection of explosion-proof LED lighting fixtures that require adjustment, achieving precise lighting control in critical areas. Furthermore, the system dynamically acquires data on ambient illuminance, explosive concentration, and fixture temperature at the location of the selected LED fixture, determining whether the current environment is suitable for activating the explosion-proof LED lighting based on preset conditions. If the environmental parameters meet the requirements, the system calculates the current target illuminance value for the LED fixture and precisely adjusts the LED output to achieve this target illuminance. This technical solution combines real-time monitoring of personnel location and environmental parameters—that is, it integrates information from multiple sensors—to gain real-time insight into the distribution of personnel and multi-dimensional environmental parameters within the area. Based on this, it enables dynamic adaptive adjustment of the illuminance of explosion-proof LED lighting fixtures in different areas, thereby improving the lighting efficiency of the explosion-proof LED lights. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating an explosion-proof LED lighting method based on multi-information fusion provided in an embodiment of this application;

[0035] Figure 2 This is a schematic diagram of the structure of an explosion-proof LED lighting system based on multi-information fusion disclosed in an embodiment of this application;

[0036] Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0037] Explanation of reference numerals in the attached drawings: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Implementation

[0038] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0039] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0040] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0041] This application provides an explosion-proof LED lighting method based on multi-information fusion. In one embodiment, please refer to... Figure 1 , Figure 1 This is a flowchart illustrating the explosion-proof LED lighting method based on multi-information fusion provided in this application embodiment. This method can be implemented using a computer program, which can be integrated into an application or run as a standalone utility application. The method can also be implemented using a microcontroller and can run on an explosion-proof LED lighting system based on the von Neumann architecture and multi-information fusion. Specifically, the method may include the following steps:

[0042] Step 101: Acquire microwave signals from the illuminated area and determine the number and location of people within the illuminated area based on the microwave signals.

[0043] The lighting area refers to the area space that requires explosion-proof LED lighting. In this embodiment, it can be understood as a place with potential explosion hazards, such as a petrochemical production workshop, a mine tunnel, or a dust process operation area. It is used to provide sufficient and reasonable explosion-proof lighting for personnel and the working environment in the area to ensure the safety of workers and work efficiency.

[0044] Microwave signals refer to electromagnetic wave signals carrying personnel information that are sent and received by microwave sensors. In this application embodiment, they can be understood as radio wave signals that can penetrate smoke and reflect human movement information. These signals are used by the sensor to obtain information on the number and location distribution of people in the lighting area in real time, so as to realize intelligent control of explosion-proof LED lighting.

[0045] The number of people and their distribution location refer to the total number of people in the lighting area and their precise standing positions in the area, determined by analyzing microwave signals. In this embodiment, it can be understood that the system calculates the total number of people in the current area and their specific standing coordinates in the area based on the human movement information reflected in the microwave signals.

[0046] Specifically, to achieve intelligent control of explosion-proof LED lighting, it is necessary to monitor and obtain the number and distribution of people within the lighting area in real time. This information serves as the basis for determining which explosion-proof LEDs to dim. This function is achieved by acquiring microwave signals within the lighting area. Multiple microwave sensors are installed within the lighting area, covering various zones. These sensors emit radio wave microwave signals in real time, for example, in the frequency range of 300MHz to 300GHz. These microwave signals can penetrate walls and are reflected by human bodies. After receiving the reflected microwave signals, the multiple microwave sensors acquire information such as the timestamp, frequency, signal strength, and azimuth angle. The timestamp and frequency information are used to generate a frequency distribution curve. By analyzing abrupt changes in the curve, the number of people can be calculated. The signal strength and azimuth angle information determine the location coordinates of the people. By analyzing the microwave signals, the system can determine the real-time number of people within the entire lighting area and their specific locations.

[0047] Based on the above embodiments, as an optional embodiment, step 101, which involves determining the number and distribution of people within the illuminated area based on microwave signals, may further include the following steps:

[0048] Step 201: Obtain the timestamp and frequency of the microwave signal; based on the timestamp and frequency, generate the frequency distribution curve of the microwave signal.

[0049] The timestamp refers to the precise time point when the microwave signal is received. In this embodiment, it can be understood as a digital record of the transmission and reception time of a microwave signal obtained by the system, accurate to the millisecond or microsecond level. This record is used to match the frequency information of the microwave signal to generate a distribution curve of frequency change over time, and then analyze the abrupt change points of the curve to determine the number of people in the area.

[0050] Frequency refers to the number of oscillation cycles corresponding to a microwave signal. In this embodiment, it can be understood as the frequency parameter of the microwave signal sent and received by the microwave sensor. Its value represents the number of periodic oscillations of the microwave, and the unit is Hertz. It is used to pair with the timestamp information of the microwave signal to generate a frequency distribution curve. The number of people in the area is determined by analyzing the changes in the curve.

[0051] A frequency distribution curve refers to a curve plotted with timestamps as the horizontal axis and microwave signal frequencies as the vertical axis. In this embodiment, it can be understood as a two-dimensional coordinate curve plotted by the system based on the timestamps of microwave signals and the corresponding frequency parameters. It is used to determine the number of times people move within a region by analyzing the changes in frequency values ​​in the curve, and to estimate the total number of people in the region accordingly.

[0052] Specifically, precise timestamps are extracted from the received microwave signals, recording the transmission and reception times to the millisecond level. Simultaneously, the accurate frequency value corresponding to each microwave signal is obtained, i.e., the signal's frequency parameter. Then, based on the correspondence between these timestamps and frequencies, the signals are paired and arranged chronologically. A two-dimensional coordinate graph is plotted with the timestamp on the x-axis and the frequency value on the y-axis, generating a frequency distribution curve representing frequency changes over time. By analyzing the characteristics of this frequency distribution curve, a significant abrupt change in frequency value indicates detected human movement, as people cause changes in the microwave propagation path and frequency. The system can count the number of anomalies on the curve to estimate the number of people detected during that time period, representing the total number of people in the area. This process allows for rapid acquisition of personnel information within the illuminated area, serving as a key parameter for adjusting explosion-proof LED lighting. This ensures that the light output matches the pedestrian flow in real time, avoiding resource waste and improving the efficiency of explosion-proof LED usage.

[0053] Step 202: Identify outliers in the frequency distribution curve whose frequency change rate is greater than the preset change rate, and determine the number of personnel based on the number of outliers.

[0054] The frequency change rate refers to the amount of change in the microwave signal frequency within the sampling time interval. In this embodiment, it can be understood as the change value of the microwave signal frequency within a preset time, with the unit being Hertz per second. It is used to determine the frequency abrupt change. When the frequency change rate exceeds a preset threshold, it is identified as an abnormal point on the frequency distribution curve. Then, the number of people in the area is calculated based on the number of abnormal points.

[0055] An outlier point refers to a point on the frequency distribution curve where the rate of frequency change exceeds a preset threshold. In this embodiment, for example, it can be understood as when the microwave signal frequency changes by more than 100Hz within 0.01 seconds, the point is identified as an outlier point on the frequency distribution curve and used to count the number of outliers. Since each outlier point corresponds to one human passing through, the number of outliers directly reflects the total number of people passing through the detection area during that time period.

[0056] Specifically, a threshold for the rate of frequency change is preset; for example, a frequency change exceeding 100Hz within 0.01 seconds is considered an anomaly. The system then scans the frequency distribution curve, detecting the change in frequency value at each point within the sampling time, and determining if the rate of change exceeds the preset threshold. When the rate of frequency change at a point exceeds the threshold, the system identifies that point as an anomaly on the frequency distribution curve. By counting all anomalies on the curve within a certain time range, the number of people passing through the area during that time period can be determined. Since each passage corresponds to one person, the final number of anomalies directly reflects the total number of people in the area. By identifying points with abnormal frequency changes and counting their number to determine the actual number of people, the accuracy of the calculation can be improved, misjudgments caused by environmental noise can be avoided, and real-time information on the number of people in the area can be obtained.

[0057] Step 203: Obtain the signal strength and azimuth of the microwave signal, and determine the personnel distribution location based on the signal strength and azimuth.

[0058] The signal strength refers to the amount of energy during the propagation of the microwave signal. In this embodiment, it can be understood as the energy parameter of the reflected microwave signal received by the microwave sensor. The unit can be milliwatts. It is used to determine the source of the microwave signal, that is, the distance between the human target and the sensor. The greater the signal strength, the closer the human target is to the sensor.

[0059] Azimuth refers to the horizontal angle when the microwave signal reaches the sensor. In this embodiment, it can be understood as the angle parameter of the horizontal plane on which the microwave signal is incident on the sensor, in degrees. It is used to determine the source of the microwave signal, i.e. the specific direction of the human target. Combined with the signal strength, the precise position coordinates of the person can be calculated.

[0060] Specifically, to accurately determine the exact location of each person within the area, it is necessary to comprehensively analyze the signal strength and azimuth information of the microwave signals. The signal strength parameter of each microwave signal received by the microwave sensor is obtained, i.e., the energy level of the signal propagation, measured in milliwatts. Simultaneously, the azimuth information corresponding to the direction of the microwave signal's origin is obtained, i.e., the angle of the horizontal plane where the signal is incident. Then, the distance of the person to the sensor is determined based on the signal strength; the stronger the signal, the closer the person. The spatial orientation of the person is determined based on the azimuth parameter. Finally, the system can combine the signal strength and azimuth to calculate the precise planar coordinates of the person corresponding to each microwave signal. Through this process, the system can quickly obtain the specific distribution and location of all people within the lighting area, providing crucial information for subsequently determining which explosion-proof LEDs to activate and the direction of lighting focus, achieving dynamic and precise lighting, avoiding resource waste, and improving the efficiency of explosion-proof LED utilization.

[0061] Step 102: Based on the number of people and their distribution location, determine the explosion-proof LED lights to be adjusted within the lighting area.

[0062] Among them, the explosion-proof LED lights to be adjusted refer to the explosion-proof LED lights whose brightness output needs to be changed according to the number and distribution of personnel. In this embodiment of the application, it can be understood that the system determines the explosion-proof LED lights and their surrounding lights that need to be illuminated based on the personnel coordinate positions obtained by analysis, so as to perform precise dimming control in the future, so that the illumination range and intensity are matched with the personnel positions and numbers in real time, avoiding unnecessary waste of resources.

[0063] Specifically, to achieve precise and intelligent control of explosion-proof LED lighting, it is necessary to determine the explosion-proof LED lights whose brightness needs to be adjusted based on the known number of people in the area and their specific distribution and location. The total number of people in the area is obtained by analyzing microwave signals. Then, based on the signal strength and azimuth parameters in the microwave signal, the system determines the precise two-dimensional coordinate position of each person in the area, retrieves the specific distribution map of the explosion-proof LED lights in the area, compares the coordinate positions of each person with the LED light positions, and identifies the LED lights directly facing the person's position and the surrounding LED lights within a certain range. These LED lights directly illuminating the person and the surrounding LED lights are the explosion-proof LED lights to be adjusted.

[0064] Based on the above embodiments, as an optional embodiment, in step 102: determining the explosion-proof LED lights to be adjusted within the lighting area based on the number of personnel and their distribution location, this step may also include the following steps: Step 301: dividing the lighting area into several sub-areas; determining the number of sub-personnel corresponding to the location of each sub-area based on the number of personnel and their distribution location.

[0065] In this context, a sub-region refers to a constituent area obtained by dividing the entire lighting area according to a certain area size. In the embodiments of this application, it can be understood as dividing the entire explosion-proof LED lighting area into multiple smaller regional units, so that when adjusting the explosion-proof LED lighting in the future, more precise and reasonable lighting control can be carried out for each sub-region, avoiding energy waste between or in local areas.

[0066] The number of people in each sub-area refers to the number of people in each sub-area. In this embodiment, it can be understood as the total number of people in each sub-area, which is used to develop a more detailed and reasonable explosion-proof LED lighting scheme for each sub-area, so that the illuminance of each sub-area can meet the actual local population distribution and avoid uneven illuminance between areas or in local areas.

[0067] Specifically, to achieve more precise control of explosion-proof LED lighting, the entire lighting area needs to be divided into multiple sub-areas first, and then the number of personnel in each sub-area needs to be determined. Based on the size of the entire area, it is divided into several smaller sub-areas; for example, one sub-area can be set up for every 10 square meters. Then, based on the precise coordinates of all personnel within the area obtained earlier, the specific sub-area of ​​each person is determined. The number of people in each sub-area is statistically analyzed to calculate the number of personnel corresponding to each sub-area, i.e., the number of sub-personnel.

[0068] Step 302: For each sub-area, determine whether the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel; if the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel, then the explosion-proof LED lights in the sub-area are used as the explosion-proof LED lights to be adjusted in the lighting area.

[0069] The preset number of people refers to the threshold number of people required to determine whether lighting is needed in each sub-area. In this embodiment, it can be understood as a reference number of people set in advance by the system for comparison with the actual number of people in each sub-area. The unit can be people, and it is used to determine whether the flow of people in each sub-area meets the necessary conditions for turning on the lighting.

[0070] Specifically, to achieve precise control of explosion-proof LED lights in different sub-areas, it is necessary to determine the pedestrian traffic in each sub-area and only adjust the explosion-proof LED dimming in sub-areas where people are present. The number of people in each sub-area is statistically determined, and a threshold for judging pedestrian traffic is preset, for example, 5 people. Then, the number of people in each sub-area is compared with the preset threshold of 5 people. If the number of people in a sub-area is greater than or equal to 5 people, it is determined that there is a significant pedestrian traffic distribution in that sub-area. For these sub-areas where the number of people is greater than or equal to the threshold, all explosion-proof LED lights within them are marked as explosion-proof LED lights to be adjusted. This process avoids unnecessary adjustments to explosion-proof LEDs in sub-areas where no one is present, achieving separate control of different sub-areas, ensuring lighting effect, and improving the intelligence and energy efficiency of the lighting system.

[0071] Step 103: Obtain the ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED lamp is located.

[0072] Here, ambient illuminance refers to the natural light intensity in the environment where the explosion-proof LED is located. In this embodiment, it can be understood as the natural light brightness parameter in the installation area of ​​the explosion-proof LED obtained by the illuminance sensor, which is used to determine whether the area needs additional lighting and to calculate the additional illuminance value that the explosion-proof LED needs to provide.

[0073] Explosive concentration refers to the concentration parameter of explosive gases present in the working environment of explosion-proof LEDs. In the embodiments of this application, it can be understood as the volume fraction of combustible gases such as methane in the area detected by a concentration sensor, which is used to determine whether there is an explosion hazard in the environment and to determine whether the light intensity of the explosion-proof LED needs to be reduced to avoid triggering an explosion.

[0074] The lamp temperature refers to the temperature parameter of the explosion-proof LED lamp during operation. In this embodiment, it can be understood as the temperature value of the lamp surface or interior obtained by a temperature sensor installed in the LED lamp. This temperature value is used to monitor the heat flow status of the lamp in real time, determine whether the lamp is overheating, and adjust the LED driving current and illuminance output accordingly to ensure equipment safety.

[0075] Specifically, to achieve intelligent and precise control of explosion-proof LED lighting, it is necessary to acquire real-time parameters such as ambient illuminance, explosive concentration, and luminaire temperature of the current working environment of the explosion-proof LED. Illuminance sensors installed in the area detect and acquire the natural light level in the environment in real time, obtaining ambient illuminance data. Concentration sensors monitor the concentration of explosive gases such as methane, obtaining explosive concentration information. Furthermore, the system dynamically detects the operating temperature of the luminaire using temperature sensors installed inside the LED luminaire, acquiring luminaire temperature parameters. By continuously acquiring these three parameters, the system can monitor the illumination, explosion-proof, and heat flux status of the environment in which the explosion-proof LED is located in real time. This data reflects the current environmental requirements for the use of the explosion-proof LED and is an important basis for subsequently formulating lighting output strategies. Acquiring environmental parameters is the foundation for achieving intelligent and precise dimming control of explosion-proof LEDs.

[0076] Based on the above embodiments, as an optional embodiment, in step 103: obtaining the ambient illuminance, explosive concentration, and lamp temperature of the explosion-proof LED lamp, the following steps may also be included:

[0077] Step 401: If at least one parameter among ambient illuminance, explosive concentration, and lamp temperature is greater than or equal to the preset threshold corresponding to the parameter, the explosion-proof LED lamp is switched off. The preset threshold includes preset illuminance, preset concentration, and preset temperature.

[0078] Specifically, to ensure the safety of explosion-proof LEDs, the LEDs must be shut off if any environmental parameter exceeds a safety threshold. The system continuously monitors three parameters: ambient illuminance, explosive concentration, and lamp temperature, comparing them in real-time with their corresponding safety thresholds—preset illuminance, preset concentration, and preset temperature. If any of these parameters fails to meet the preset safety requirements (i.e., exceeds or equals the corresponding threshold), the system immediately cuts off the power to the explosion-proof LED, stopping the lighting output. By monitoring the real-time status of environmental parameters and quickly shutting down the LED when limits are exceeded, the system effectively avoids safety hazards or equipment damage from continued operation.

[0079] Step 104: If the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, then determine the target illuminance of the explosion-proof LED lamp based on the ambient illuminance, explosive concentration, and lamp temperature.

[0080] The preset lighting conditions refer to the threshold conditions for judging whether the environmental parameters are suitable for turning on the explosion-proof LED lighting. In this embodiment, it can be understood as the threshold range of parameters such as ambient illuminance, explosive concentration and lamp temperature set in advance by the system, which is used to compare with the current environmental parameters detected in real time to determine whether the explosion-proof LED can work normally and provide lighting.

[0081] The target illuminance refers to the ideal lighting illuminance value that the explosion-proof LED needs to output, calculated based on environmental parameters. In this embodiment, it can be understood as the target output value of the explosion-proof LED's lighting brightness, calculated and determined by the system based on environmental illuminance, explosive concentration, and lamp temperature parameters. This target illuminance value is used by the system to control the LED's driving current and adjust the actual lighting brightness of the explosion-proof LED.

[0082] Specifically, to optimize the control of explosion-proof LED lighting effects, the target illuminance value for the current moment needs to be dynamically determined based on environmental parameters. The system detects and obtains data on the ambient illuminance, explosive concentration, and luminaire temperature of the current environment. Then, the system compares these parameters with preset safety threshold ranges to determine if the lighting requirements are simultaneously met. If all three parameters are within reasonable ranges, the system calculates and determines the target illuminance for the explosion-proof LED: referencing the ambient illuminance, it determines the additional lighting required by the LED; considering the explosive concentration, it appropriately reduces the target illuminance; and simultaneously considering the luminaire temperature to prevent overheating. Through this process, the system intelligently determines the target illuminance output value of the LED at every moment based on the current environmental parameters, enabling the explosion-proof LED light to dynamically adapt to environmental changes.

[0083] Based on the above embodiments, as an optional embodiment, in step 104: if the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, then the target illuminance of the explosion-proof LED lamp is determined according to the ambient illuminance, explosive concentration, and lamp temperature. This step may further include the following steps:

[0084] Step 501: If the ambient illuminance is less than the preset illuminance, the explosive concentration is less than the preset concentration, and the lamp temperature is less than the preset temperature, then calculate the lighting risk value of the explosion-proof LED lamp based on the ambient illuminance, explosive concentration, and lamp temperature.

[0085] The lighting risk value refers to a quantitative index calculated based on current environmental parameters, used to assess the suitability and risk level of explosion-proof LED lighting in this environment. In this application embodiment, it can be understood as a value calculated by the system based on parameters such as ambient illuminance, explosive concentration and lamp temperature, used to determine the safety of the current environment for the use of explosion-proof LED.

[0086] Specifically, the system acquires data on the ambient illuminance, explosive concentration, and lamp temperature of the current environment for the explosion-proof LED. This data is then compared to their respective safety thresholds. If the ambient illuminance is below a preset value, the explosive concentration is within a safe range, and the lamp temperature is normal, thus meeting basic lighting requirements, the system uses these three parameters as input and calculates a lighting risk assessment value using a specific algorithm. This risk value comprehensively considers the impact of the current environment on lighting needs, explosion-proof requirements, and equipment thermal flux, using a quantitative index to evaluate the safety of the environment for the use of the explosion-proof LED.

[0087] Based on the above embodiments, as an optional embodiment, step 401, which calculates the lighting risk value of the explosion-proof LED lamp according to the ambient illuminance, explosive concentration, and lamp temperature, may further include the following steps:

[0088] Step 511: Substitute the ambient illuminance, explosive concentration, and lamp temperature into the preset formula to obtain the lighting risk value of the explosion-proof LED lamp; wherein, the preset formula is:

[0089]

[0090] In the formula, R represents the lighting risk value of the explosion-proof LED lamp, k1 represents the first risk factor of explosive concentration and lamp temperature, C represents explosive concentration, T represents lamp temperature, k2 represents the second risk factor of explosive concentration and ambient illuminance, L represents ambient illuminance, A represents the baseline environmental factor, α represents the risk coefficient of the baseline environmental factor, and k3 represents the third risk factor of ambient illuminance.

[0091] The preset formula refers to a mathematical formula used to calculate the lighting risk value of the explosion-proof LED lamp to be adjusted. In the embodiments of this application, the preset formula can be understood as a multivariate analysis formula that includes factors such as the ambient illuminance of the environment in which the explosion-proof LED lamp is located, the concentration of explosives, and the lamp temperature. The preset formula is used to quantitatively calculate and evaluate the lighting risk value of the explosion-proof LED lamp to be adjusted. By substituting actual test data, the lighting risk value of the explosion-proof LED lamp to be adjusted can be calculated.

[0092] Specifically, the ambient illuminance, explosive concentration, and lamp temperature data obtained from detection are used as variables and substituted into a pre-established risk value calculation formula. This formula comprehensively considers the values ​​of the three environmental parameters and calculates a comprehensive lighting risk assessment value according to a certain algorithm. The weights of each parameter in the formula can be predetermined according to the actual situation. The calculated risk value can quantitatively determine the suitability and potential risks of the current environment for explosion-proof LED lighting. The higher the risk value, the less suitable the environment is for the use of explosion-proof LEDs. In this way, quantitative indicators of lighting risk can be obtained through algorithmic calculation, enabling accurate assessment of the current environment and providing a basis for subsequently formulating reasonable LED usage strategies.

[0093] The formula consists of two parts. The first part, the numerator, describes the overall impact of ambient illuminance, explosive concentration, and luminaire temperature on the lighting risk value, k1×C. 2 The term ×T represents the interaction between concentration C and ambient temperature T. The square of concentration C 2 This means that the risk increases sharply with increasing concentration, and this effect is amplified by temperature T. The first risk factor k1 modulates the overall influence of this interaction. This section focuses on the relationship between concentration C and illuminance L. Since illuminance L appears as the square root of the denominator, this means that even lower concentrations can lead to higher risks in low-illuminance environments. The second risk factor, k2, moderates the impact of illuminance on risk. α×A 2 This item represents the baseline environmental factor, which indicates environmental parameters, excluding explosive concentration and ambient illuminance, that affect the lighting risk value within the illuminated area. These parameters include humidity and air pressure. The baseline environmental factor is determined by historical environmental parameters of the illuminated area. The square of the environmental parameter A 2 This indicates that the contribution of these factors to risk is non-linear, meaning that small changes can lead to significant changes in risk. The risk coefficient α is used to adjust for the degree of this impact. The numerator expression assesses a comprehensive effect by incorporating different environmental parameters, such as concentration, temperature, illuminance, and other environmental factors. Each parameter is adjusted using a scaling factor to adapt to different application needs and conditions. The design of this formula allows for flexible application to various environments and scenarios to assess the overall effect produced by the combined action of different factors.

[0094] The second part, the denominator, describes the influence of the interaction between ambient illuminance and luminaire temperature on the lighting risk value. In the formula, temperature is directly added to the denominator, typically indicating that an increase in temperature has a mitigating or reducing effect on the overall calculation result (i.e., risk calculation or other indicators). Specifically, when temperature T increases, the denominator increases, and the overall result of the formula relatively decreases. This can be understood as an increase in temperature potentially reducing certain types of risks or effects (e.g., the rate of certain chemical reactions increases with temperature, thus reducing their duration and potential risk). In the term k3×L, illuminance L is adjusted by the third risk factor k3. The role of the third risk factor k3 is to adjust the contribution of illuminance to the total effect according to different environmental or application requirements. When illuminance L increases, k3×L also increases, increasing the denominator of the entire formula, leading to a decrease in the overall calculation result. This may reflect the positive effects of increased illuminance, such as the faster decomposition of certain harmful substances in a brighter environment, thus reducing risk. The overall role of this denominator is to balance or mitigate the risk factors calculated in the numerator. By combining temperature and illuminance in this way, the formula can account for the impact of variations under different environmental conditions on the overall effect. Any factor that increases the denominator will reduce the output value of the entire formula, which usually means that potential risks or negative effects will be mitigated under higher temperatures or stronger light conditions.

[0095] Step 502: Based on the lighting risk value, match the target illuminance corresponding to the explosion-proof LED light in the database.

[0096] The database refers to a set of digital information that stores the mapping relationship between lighting risk values ​​and target illuminance. In this embodiment, it can be understood as a lookup table pre-established by the system that contains target illuminance data corresponding to different lighting risk values. It is used to store the matching relationship between environmental parameters and lighting output, so that the system can quickly obtain the ideal illuminance target value of explosion-proof LED in the current environment.

[0097] Specifically, to determine the target illuminance output of explosion-proof LEDs based on environmental parameters, it is necessary to find a matching target illuminance value in a database based on the calculated lighting risk value. After calculating the lighting risk value of the current environment, this value is used as input to search the database for the corresponding target illuminance value for explosion-proof LEDs. The database has a pre-established correspondence model between lighting risk values ​​and target illuminance values. Different risk values ​​correspond to different target illuminance values; the higher the risk value, the lower the target illuminance. Based on the currently calculated lighting risk value, a unique matching target illuminance value can be determined. The target illuminance reflects the reasonable lighting brightness that the explosion-proof LED should output under the current environmental conditions.

[0098] Step 105: Adjust the explosion-proof LED light to the target illuminance.

[0099] Specifically, to achieve precise illuminance control of explosion-proof LEDs, the output brightness of the LEDs needs to be adjusted based on the calculated target illuminance value. The reasonable target illuminance value for the explosion-proof LED at the current moment is determined based on environmental parameters. Then, the actual illuminance output reading of the explosion-proof LED is obtained. The difference between the two is calculated, and the illuminance output value of the explosion-proof LED is gradually adjusted by controlling the LED's drive current and power supply until the actual illuminance matches the target illuminance value or falls within the allowable error range. This allows for precise control of the output brightness of the explosion-proof LED lighting to maintain consistency with the calculated target illuminance, achieving optimized adjustment of the LED lighting effect.

[0100] Based on the above embodiments, as an optional embodiment, in step 105: adjusting the explosion-proof LED light to the target illuminance, this step may further include the following steps:

[0101] Step 601: Determine if there are any people in the illuminated area; if there are no people in the illuminated area, turn the explosion-proof LED lights off.

[0102] Specifically, to avoid wasting electricity, explosion-proof LEDs need to be turned off when no one is in the illuminated area. By installing infrared human body sensors in the illuminated area, the system monitors the presence of people in real time. When the system determines that no one is present in the illuminated area, it considers that there is no temporary need for lighting. The system then sends a control command to the explosion-proof LED fixtures to cut off the power, turning the LEDs off and stopping the lighting output. When someone is detected, the system turns the LED lighting back on. This allows the system to adjust the LED operation in real time according to the number of people in the area, avoiding energy waste caused by continuous operation when no one is present, thus achieving energy-saving effects.

[0103] Reference Figure 2 This application provides an explosion-proof LED lighting system based on multi-information fusion. The system includes: an information acquisition module, an explosion-proof LED lamp determination module, an information fusion module, and an explosion-proof LED lamp adjustment module, wherein:

[0104] The information acquisition module is used to acquire microwave signals from the illuminated area and, based on the microwave signals, determine the number and location of people within the illuminated area.

[0105] The explosion-proof LED light determination module is used to determine the explosion-proof LED lights to be adjusted within the lighting area based on the number and distribution of personnel.

[0106] The information fusion module is used to obtain the ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED lamp is located; if the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, explosive concentration, and lamp temperature.

[0107] The explosion-proof LED light adjustment module is used to adjust the explosion-proof LED light to the target illuminance.

[0108] Based on the above embodiments, the information acquisition module is also used to acquire the timestamp and frequency of the microwave signal; generate a frequency distribution curve of the microwave signal based on the timestamp and frequency; identify anomalies in the frequency distribution curve where the rate of frequency change is greater than a preset rate of change, and determine the number of personnel based on the number of anomalies; acquire the signal strength and azimuth of the microwave signal, and determine the personnel distribution location based on the signal strength and azimuth.

[0109] Based on the above embodiments, the explosion-proof LED light determination module is further used to divide the lighting area into several sub-areas; determine the number of sub-personnel corresponding to the location of each sub-area according to the number of personnel and their distribution location; for each sub-area, determine whether the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel; if the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel, then the explosion-proof LED light in the sub-area is used as the explosion-proof LED light to be adjusted in the lighting area.

[0110] Based on the above embodiments, the information fusion module is also used to calculate the lighting risk value of the explosion-proof LED lamp based on the ambient illuminance, explosive concentration, and lamp temperature if the ambient illuminance is less than the preset illuminance, the explosive concentration is less than the preset concentration, and the lamp temperature is less than the preset temperature; and to match the target illuminance corresponding to the explosion-proof LED lamp in the database based on the lighting risk value.

[0111] Based on the above embodiments, the information fusion module is further used to substitute ambient illuminance, explosive concentration, and lamp temperature into a preset formula to obtain the lighting risk value of the explosion-proof LED lamp; wherein, the preset formula is:

[0112]

[0113] In the formula, R represents the lighting risk value of the explosion-proof LED lamp, k1 represents the first risk factor of explosive concentration and lamp temperature, C represents explosive concentration, T represents lamp temperature, k represents the second risk factor of explosive concentration and ambient illuminance, L represents ambient illuminance, A represents the baseline environmental factor, α represents the risk coefficient of the baseline environmental factor, and k3 represents the third risk factor of ambient illuminance.

[0114] Based on the above embodiments, the information fusion module is also used to turn off the explosion-proof LED light if at least one of the ambient illuminance, explosive concentration and lamp temperature is greater than or equal to the preset threshold corresponding to the parameter. The preset threshold includes preset illuminance, preset concentration and preset temperature.

[0115] Based on the above embodiments, the explosion-proof LED light adjustment module is also used to determine whether there are personnel in the lighting area; if there are no personnel in the lighting area, the explosion-proof LED light is turned off.

[0116] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0117] This application also discloses an electronic device. (See reference...) Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0118] The communication bus 302 is used to enable communication between these components.

[0119] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0120] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0121] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface graphics, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 301.

[0122] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for an explosion-proof LED lighting method based on multi-information fusion.

[0123] exist Figure 3In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and acquire user input data; while the processor 301 can be used to call an application program stored in the memory 305 for an explosion-proof LED lighting method based on multi-information fusion. When executed by one or more processors 301, the electronic device 300 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0124] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0125] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0128] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0129] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0130] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only.

Claims

1. A method for explosion-proof LED lighting based on multi-information fusion, characterized in that, include: The microwave signal of the illuminated area is acquired, and based on the microwave signal, the number of people and their distribution location within the illuminated area are determined. Based on the number and distribution of personnel, determine the explosion-proof LED lights to be adjusted within the lighting area; The ambient illuminance, explosive concentration, and lamp temperature of the environment in which the explosion-proof LED lamp is located are obtained. If the ambient illuminance, the explosive concentration, and the lamp temperature meet the preset lighting conditions, then the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, the explosive concentration, and the lamp temperature. Adjust the explosion-proof LED light to the target illuminance; Determining the number and location of people within the illuminated area based on the microwave signal includes: Obtain the timestamp and frequency of the microwave signal; Based on the timestamp and the frequency, a frequency distribution curve of the microwave signal is generated; Identify outliers in the frequency distribution curve whose frequency change rate is greater than a preset change rate, and determine the number of personnel based on the number of outliers. Outliers refer to points on the frequency distribution curve where the frequency change rate exceeds a preset threshold. The signal strength and azimuth angle of the microwave signal are obtained, and the personnel distribution location is determined based on the signal strength and azimuth angle.

2. The explosion-proof LED lighting method based on multi-information fusion according to claim 1, characterized in that, The step of determining the explosion-proof LED lights to be adjusted within the lighting area based on the number and distribution of personnel includes: The lighting area is divided into several sub-areas; Based on the number of personnel and their distribution locations, determine the number of sub-personnel corresponding to the location of each sub-region; For each sub-region, determine whether the number of sub-personnel corresponding to the location of the sub-region is greater than or equal to the preset number of personnel; If the number of sub-personnel corresponding to the location of the sub-area is greater than or equal to the preset number of personnel, then the explosion-proof LED lights in the sub-area will be used as the explosion-proof LED lights to be adjusted in the lighting area.

3. The explosion-proof LED lighting method based on multi-information fusion according to claim 1, characterized in that, If the ambient illuminance, the explosive concentration, and the lamp temperature meet preset lighting conditions, then the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, the explosive concentration, and the lamp temperature, including: If the ambient illuminance is less than the preset illuminance, the explosive concentration is less than the preset concentration, and the lamp temperature is less than the preset temperature, then the lighting risk value of the explosion-proof LED lamp is calculated based on the ambient illuminance, the explosive concentration, and the lamp temperature. Based on the lighting risk value, the target illuminance corresponding to the explosion-proof LED light is matched in the database.

4. The explosion-proof LED lighting method based on multi-information fusion according to claim 3, characterized in that, The step of calculating the lighting risk value of the explosion-proof LED lamp based on the ambient illuminance, the explosive concentration, and the lamp temperature includes: Substituting the ambient illuminance, the explosive concentration, and the lamp temperature into a preset formula, the lighting risk value of the explosion-proof LED lamp is obtained; The preset formula is as follows: In the formula, R represents the lighting risk value of the explosion-proof LED lamp, k1 represents the first risk factor of the explosive concentration and the lamp temperature, C represents the explosive concentration, T represents the lamp temperature, k2 represents the second risk factor of the explosive concentration and the ambient illuminance, L represents the ambient illuminance, and A represents the baseline environmental factor. α k3 represents the risk coefficient of the baseline environmental factor, and k3 represents the third risk factor of the environmental illuminance.

5. The explosion-proof LED lighting method based on multi-information fusion according to claim 3, characterized in that, After obtaining the ambient illuminance, explosive concentration, and lamp temperature of the explosion-proof LED lamp, the process further includes: If at least one of the ambient illuminance, the explosive concentration, and the lamp temperature is greater than or equal to a preset threshold corresponding to the parameter, the explosion-proof LED lamp will be switched off. The preset threshold includes the preset illuminance, the preset concentration, and the preset temperature.

6. The explosion-proof LED lighting method based on multi-information fusion according to claim 1, characterized in that, After adjusting the explosion-proof LED light to the target illuminance, the method further includes: Determine whether there are people in the illuminated area; If there are no people in the illuminated area, the explosion-proof LED light should be switched off.

7. An explosion-proof LED lighting system based on multi-information fusion, characterized in that, The system includes: The information acquisition module is used to acquire microwave signals from the illuminated area and, based on the microwave signals, determine the number of people and their distribution locations within the illuminated area. An explosion-proof LED light determination module is used to determine the explosion-proof LED lights to be adjusted within the lighting area based on the number of personnel and their distribution location. The information fusion module is used to obtain the ambient illuminance, explosive concentration, and lamp temperature of the environment where the explosion-proof LED lamp is located; if the ambient illuminance, explosive concentration, and lamp temperature meet the preset lighting conditions, the target illuminance of the explosion-proof LED lamp is determined based on the ambient illuminance, explosive concentration, and lamp temperature. An explosion-proof LED light adjustment module is used to adjust the explosion-proof LED light to the target illuminance; Determining the number and location of people within the illuminated area based on the microwave signal includes: Obtain the timestamp and frequency of the microwave signal; Based on the timestamp and the frequency, a frequency distribution curve of the microwave signal is generated; Identify outliers in the frequency distribution curve whose frequency change rate is greater than a preset change rate, and determine the number of personnel based on the number of outliers. Outliers refer to points on the frequency distribution curve where the frequency change rate exceeds a preset threshold. The signal strength and azimuth angle of the microwave signal are obtained, and the personnel distribution location is determined based on the signal strength and azimuth angle.

8. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to perform the explosion-proof LED lighting method based on multi-information fusion as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the explosion-proof LED lighting method based on multi-information fusion as described in any one of claims 1-6.

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