Power drive control method and controller for emergency device

Abstract

The invention relates to the field of power supply driving control, in particular to a power supply driving control method of an emergency device and a controller. The method comprises the following steps: detecting an emergency lighting signal, activating an emergency device to enter a pre-power-on state, and performing real-time power supply capability evaluation to obtain an energy supply evaluation coefficient; environment light parameters of the emergency scene are collected; performing scene illumination demand calculation based on the ambient light parameters to obtain brightness compensation values of a plurality of positions; performing power matching analysis on the brightness compensation value based on an energy supply evaluation coefficient, and when it is judged that the power supply is insufficient, adjusting the illuminance demand, and outputting the lowest illuminance demand at different positions; adjusting a power supply driving parameter based on the minimum illuminance demand, and outputting an illumination driving parameter; and performing temperature rise prediction on the driving circuit to obtain temperature rise prediction data. According to the invention, the energy-saving and stable illumination driving in the emergency scene is improved, and the operation quality and stability of the emergency device are improved.

Description

Technical Field

[0001] This invention relates to the field of power drive control, and more particularly to a power drive control method and controller for an emergency device. Background Technology

[0002] During long-term operation of emergency lighting, the power capacity may gradually decrease due to the continuous discharge and charge cycles of the internal power source (such as a battery or backup power supply), leading to unstable output voltage and current. Dynamic changes in ambient light conditions, load distribution, and lighting demands also have complex effects on the power drive system, increasing the risk of uneven lighting, insufficient illumination, or circuit overload. External electromagnetic interference or power supply anomalies may cause drive failures in emergency devices, and in severe cases, even lead to lighting outages in critical areas, thereby reducing emergency response capabilities. Traditional emergency lighting power control methods mainly rely on fixed power output strategies or simple timed drive adjustments. While these methods can provide basic lighting under normal circumstances, they often lack targeted and intelligent adjustment capabilities, failing to optimize drive parameters in real time based on power status, ambient light changes, and load demands. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a power drive control method and controller for an emergency device, thereby resolving at least one of the aforementioned technical problems.

[0004] To achieve the above objectives, the present invention provides a power supply drive control method for an emergency device, comprising the following steps: Step S1: Detecting an emergency lighting signal activates the emergency device to enter a pre-power-on state, performs a real-time power supply capacity assessment, and obtains the power supply assessment coefficient. Step S2: Collect ambient light parameters of the emergency scene; calculate the scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations; Step S3: Perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. If it is determined that the power supply is insufficient, adjust the illuminance requirement and output the minimum illuminance requirement for different locations. Step S4: Adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters; Step S5: Perform temperature rise prediction on the drive circuit to obtain temperature rise prediction data; dynamically fine-tune the lighting drive parameters based on the temperature rise prediction data, and output the power drive control parameters.

[0005] This specification provides a controller for executing the power drive control method of the emergency device as described above, comprising: The power supply assessment unit is used to detect emergency lighting signals, activate emergency devices to enter the pre-power-on state, perform real-time power supply capacity assessment, and obtain the power supply assessment coefficient. A brightness compensation unit is used to collect ambient light parameters in emergency scenarios; and to calculate scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations. The power matching unit is used to perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. When it is determined that the power supply is insufficient, the illuminance requirement is adjusted and the minimum illuminance requirement for different positions is output. The parameter adjustment unit is used to adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters. The temperature rise prediction unit is used to predict the temperature rise of the drive circuit and obtain temperature rise prediction data; based on the temperature rise prediction data, the lighting drive parameters are dynamically fine-tuned and the power drive control parameters are output.

[0006] The specific benefits of this invention are as follows: By obtaining the power supply evaluation coefficient, the actual power supply capacity of the power source can be accurately grasped, avoiding insufficient lighting or overload caused by unclear power supply status. Real-time evaluation of the power supply status provides a scientific basis for subsequent lighting drive, ensuring that the lighting system can meet basic lighting needs in emergency situations without exceeding the power supply's tolerance range, thus improving system safety and reliability. A refined analysis of insufficient lighting in different areas within the scene generates brightness compensation values, achieving regional-level optimization of lighting needs. Compared with traditional fixed lighting solutions, this method avoids excessively bright or dark areas, improves the uniformity and visual safety of emergency lighting, and reduces energy waste. It achieves "intelligent load reduction" in emergency situations, ensuring minimum safe illuminance in critical areas while avoiding lighting interruptions due to insufficient power. Power matching analysis tightly couples lighting needs with actual available power, improving the reliability and adaptability of emergency devices under different power supply states. It ensures that the lighting load operates within the allowable range of the power supply, achieving energy-efficient and dynamic power supply. By finely adjusting the drive parameters, power consumption and heat generation can be reduced without affecting the minimum illuminance, extending the battery life and overall reliability of the emergency device. Effectively avoids safety accidents or performance degradation caused by overheating of the drive circuit, improving system reliability and lifespan. Dynamic fine-tuning ensures optimized heat dissipation management for stable illumination, ensuring that emergency lighting can still operate safely under long-term operation or high load conditions. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the steps of one method of the present invention; Figure 2 This is a detailed flowchart illustrating the implementation steps of step S1. Figure 3 This is a flowchart illustrating the detailed implementation steps of step S2. Detailed Implementation

[0008] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0009] This application provides a power drive control method and controller for an emergency device. The execution entities of the power drive control method and controller for the emergency device include, but are not limited to, mechanical equipment, data processing platforms, cloud server nodes, network upload devices, etc., which can be considered as general computing nodes in this application. The data processing platform includes, but is not limited to, at least one of an audio / image management system, an information management system, and a cloud data management system.

[0010] Please see Figures 1 to 3 This invention provides a power drive control method for an emergency device, comprising the following steps: Step S1: Detecting an emergency lighting signal activates the emergency device to enter a pre-power-on state, performs a real-time power supply capacity assessment, and obtains the power supply assessment coefficient. Step S2: Collect ambient light parameters of the emergency scene; calculate the scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations; Step S3: Perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. If it is determined that the power supply is insufficient, adjust the illuminance requirement and output the minimum illuminance requirement for different locations. Step S4: Adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters; Step S5: Perform temperature rise prediction on the drive circuit to obtain temperature rise prediction data; dynamically fine-tune the lighting drive parameters based on the temperature rise prediction data, and output the power drive control parameters.

[0011] In the embodiments of the present invention, see Figure 1 The diagram below illustrates the steps of a power drive control method for an emergency device according to the present invention. In this example, the steps of the power drive control method for the emergency device include: Step S1: Detecting an emergency lighting signal activates the emergency device to enter a pre-power-on state, performs a real-time power supply capacity assessment, and obtains the power supply assessment coefficient. In this embodiment, when the emergency lighting device is in standby mode, it continuously monitors emergency signals from fire alarms, manual triggering, or power outages. Upon detecting a signal, the device immediately enters a pre-power-on state, meaning the drive circuit begins to power on, but the output is still limited by power, remaining in a safe pre-start mode. During the pre-power-on phase, key components can collect real-time power data, including parameters such as output voltage, current, instantaneous power, energy storage unit temperature, and battery internal resistance. During data acquisition, transient fluctuations in current and voltage are recorded at high frequencies to capture rapidly changing characteristics; for example, the current sampling frequency is set to 1 kHz, and the temperature sampling frequency is once per second. The collected data is filtered and differentially processed to reduce noise interference, and transient response calculations are performed on the internal resistance measurement. Based on these real-time parameters, the remaining power supply capacity is calculated using indicators such as capacity decay model, voltage recovery slope, and temperature rise rate, generating a power supply evaluation coefficient. The power supply evaluation coefficient quantifies the current available power, ranging from 0 to 1, with values ​​close to 1 indicating sufficient power and close to 0 indicating severe power degradation.

[0012] Step S2: Collect ambient light parameters of the emergency scene; calculate the scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations; In this embodiment, in emergency scenarios, it is necessary to collect ambient light parameters at key locations using distributed spectral sensors, including light intensity, color temperature, and spectral energy density. The sensor spacing is determined based on the scene area, for example, one group of sensors is placed every 10 square meters to ensure uniform coverage. The acquisition frequency is set to once per second to capture instantaneous changes in illumination. After acquiring the data, the spectrum is analyzed, including the dominant wavelength, the ratio of blue to red light, and the spectral distribution of the visible light band. These characteristics can be used to assess the illumination conditions at different locations. Subsequently, based on the illumination requirement standards for each location (e.g., evacuation routes require 150–200 lux, exits require 200–250 lux), the contribution of natural light is combined with the target illuminance to calculate the brightness compensation value. The brightness compensation value represents the amount of artificial lighting required to achieve a safe illuminance under the current natural light conditions. For example, if the natural illuminance of an evacuation route is 80 lux and the target illuminance is 150 lux, then the brightness compensation value is 70 lux.

[0013] Step S3: Perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. If it is determined that the power supply is insufficient, adjust the illuminance requirement and output the minimum illuminance requirement for different locations. In this embodiment, after obtaining the brightness compensation value and power supply evaluation coefficient, the brightness requirement is first converted into the corresponding power requirement. The power for each location is calculated based on the light source efficacy and the irradiated area. For example, with a luminous efficacy of 100 lumens / watt, a brightness compensation value of 70 lux, and an area of ​​10 square meters, the power requirement is approximately 7 watts. The power requirements for all locations are summed and compared with the maximum available output power. If the maximum output power is less than the total power requirement, it is determined that the power supply is insufficient, and illuminance adjustment is required. The adjustment strategy is based on lighting priority. For example, evacuation routes and exits have the highest priority, while secondary areas have lower priority. Power is allocated according to priority, with higher priority locations receiving more power and lower priority locations receiving the remaining power. The minimum illuminance requirement for each location is output through power-illuminance conversion. For example, the minimum illuminance for critical routes is maintained at 150 lux, while it is reduced to 100 lux in auxiliary areas, ensuring that critical areas still meet safety lighting requirements even under power constraints.

[0014] Step S4: Adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters; In this embodiment, after obtaining the minimum illuminance requirements for each location, these requirements need to be converted into specific power supply drive parameters, including the constant current source reference voltage, PWM duty cycle, and switching frequency. First, the required luminous flux for each location is calculated based on the light source efficiency and illumination area; for example, 15 watts of drive power corresponds to 1800 lumens. Then, the required current value is calculated based on the LED forward voltage and constant current characteristics, and the constant current source reference voltage is set accordingly. The PWM duty cycle is set based on the ratio of the target current to the maximum current; for example, if the target current is 1.0 A and the maximum current is 1.2 A, the PWM duty cycle is approximately 83%. The switching frequency is selected between 20–40 kHz to avoid visible light flicker. By assigning parameters to each location, a complete set of lighting drive parameters can be generated, ensuring uniform and safe power output under the minimum illuminance requirements.

[0015] Step S5: Perform temperature rise prediction on the drive circuit to obtain temperature rise prediction data; dynamically fine-tune the lighting drive parameters based on the temperature rise prediction data, and output the power drive control parameters.

[0016] In this embodiment, after the drive parameters are set, it is necessary to predict the temperature rise of the drive circuit to ensure that the circuit does not exceed the operating temperature. First, temperature rise data of key components and ambient temperature are collected, and the temperature rise trend curve is analyzed. For example, the temperature rise rate of a power MOSFET under rated load is 0.2°C / s. Based on trend extrapolation and considering ambient temperature interference, the temperature change in the future time period is predicted, such as predicting that the temperature may reach 85°C in 10 minutes. If the predicted temperature rise exceeds the junction temperature threshold, overheat protection is triggered, and the constant current reference voltage, PWM duty cycle, and switching frequency are dynamically fine-tuned. For example, the drive current amplitude is reduced by 10%, the PWM duty cycle is reduced from 80% to 70%, and the switching frequency is increased from 20 kHz to 40 kHz. Through real-time voltage monitoring and constant current correction, the output voltage adjustment value is determined to ensure that the fine-tuned luminous flux is close to the target value.

[0017] In this embodiment, see Figure 2 The diagram below illustrates the detailed implementation steps of step S1. In this embodiment, the detailed implementation steps of step S1 include: Upon detecting an emergency lighting signal, the emergency device is activated and enters a pre-power-on state, collecting real-time status parameters of the drive power supply. Based on the real-time state parameters, the remaining capacity of the power supply is calculated, and the input voltage fluctuation spectrum, voltage recovery slope, transient change of battery internal resistance, temperature rise rate of energy storage unit and self-discharge rate are obtained to obtain the power supply feature set. Battery polarization effect analysis was performed based on voltage recovery slope to obtain aging state data; Battery health is analyzed based on power feature set to obtain health index; Real-time power supply capacity is assessed based on aging status data and health index to obtain power supply assessment coefficients.

[0018] In this embodiment, when the emergency lighting device is in standby mode, the device continuously monitors emergency signals from fire alarms, power outages, or manual triggering. Once a signal appears, the emergency device enters a pre-power-on state. At this time, the power supply driver has not yet output high power, but the key measurement and control unit is operational and can begin acquiring real-time power supply status data. This stage primarily collects parameters such as voltage, current, power fluctuations, energy storage unit temperature, and battery terminal internal resistance, with the sampling frequency set at a high frequency to capture transient fluctuations. Temperature-related parameters are tracked at a lower sampling frequency to monitor temperature changes. The acquisition process uses filtering to reduce noise interference and employs a differential method to reduce the impact of external interference on internal resistance acquisition. During the pre-power-on stage, the output current is limited to less than one-third of the rated value to prevent rapid battery overheating or protection device activation. After acquiring real-time status parameters, the remaining battery capacity can be estimated based on current integral and capacity curve models. By accumulating current consumption and combining the nominal capacity with capacity decay curves, the current available energy percentage can be obtained. Spectral analysis of the input voltage is performed, and the frequency characteristics and amplitude distribution of voltage fluctuations are obtained through Fast Fourier Transform, reflecting the power supply's response to load disturbances. The voltage recovery slope is observed through a step change in load, recording the rate at which the voltage recovers from a sudden change, and is used to analyze the energy storage unit's response capability. The transient change in internal resistance can be calculated by applying a short pulse current to obtain the instantaneous voltage change. The temperature rise rate is obtained from the temperature change over time, and the self-discharge rate is obtained by observing the voltage drop after the battery has been de-energized for a period of time. Integrating these parameters forms a complete power supply characteristic set, including remaining capacity, internal resistance, temperature rise rate, voltage fluctuation spectrum, voltage recovery slope, and self-discharge characteristics.

[0019] Battery polarization effect refers to the instantaneous voltage shift caused by restricted ion migration and electrochemical reaction kinetics during sudden load changes or pulse discharges. The voltage recovery slope can be calculated by observing the voltage recovery curve when the load abruptly changes from one level to another. A larger recovery slope indicates good internal chemical activity and a fast reaction rate; a decreasing slope indicates increased polarization resistance and potential degradation of internal active materials, thus serving as an indicator of aging. For comprehensive analysis, the voltage recovery trend can be observed at different ambient temperatures, and the slope data can be temperature-corrected to eliminate the influence of external conditions. A battery health index can be calculated by analyzing the power supply characteristic set. Capacity degradation has a significant weight; for example, if the current battery capacity is 10% lower than the nominal capacity, it indicates a decrease in overall energy storage capacity. Changes in internal resistance also reflect health status; if the internal resistance increases by more than half, it indicates a significant increase in internal impedance. A rapid temperature rise rate indicates uneven internal reactions, and abnormal voltage fluctuations or accelerated self-discharge rates all suggest performance degradation. After normalization, all indicators are comprehensively calculated according to their weights to form a health index, with a value ranging from 0 to 1. A value closer to 1 indicates that the battery performance is nearing a new state; a decreasing value indicates a greater degree of degradation. The health index quantifies the current available power of the battery.

[0020] By combining aging status data and health index, real-time power supply capacity can be assessed, resulting in a power supply assessment coefficient. This coefficient comprehensively considers remaining capacity, transient response capability, polarization impedance, internal resistance level, temperature rise rate, and health index, reflecting the percentage of power that the emergency power supply device can provide under specific conditions. When the remaining capacity is high, the recovery slope is large, and the health index is high, the power supply assessment coefficient is close to 1, indicating that the device can provide near-rated emergency power. Conversely, when capacity decreases, polarization impedance increases, or the temperature rise rate is too rapid, the coefficient decreases, indicating limited available power supply. Based on the obtained power supply assessment coefficient, load allocation and output strategies can be adjusted, such as limiting instantaneous peak loads or optimizing power output sequence, thereby extending the power supply time under limited conditions and ensuring that emergency lighting devices can operate reliably at critical moments.

[0021] In this embodiment, see Figure 3 The diagram below illustrates the detailed implementation steps of step S2. In this embodiment, the detailed implementation steps of step S2 include: Deploy distributed spectral sensors to collect ambient light parameters in emergency scenarios; Identify multiple emergency scenario locations; Based on the multiple emergency scenario locations, the ambient light parameters are analyzed for illumination characteristics to obtain the natural illumination conditions for different emergency locations; the natural illumination conditions include ambient light intensity distribution, color temperature variation characteristics, and spectral energy density. Scenario type analysis was performed on multiple emergency scenario locations to obtain the scenario types for different locations; Based on the scene type, differentiated lighting requirements are calculated to obtain the lighting brightness requirements for different locations; Based on the natural lighting conditions, the required lighting brightness is calculated to obtain brightness compensation values ​​for multiple locations.

[0022] In this embodiment, in an emergency scenario, distributed spectral sensors need to be deployed at key locations to accurately understand ambient light conditions. Each sensor can collect light intensity, spectral distribution, and color temperature information, and the spacing between them is determined based on the scene area, for example, one sensor per 10 square meters, to ensure uniform coverage of light parameter collection. The sensors continuously record spectral energy density, from the ultraviolet to the near-infrared light band, with a resolution of up to 5 nanometers. The acquisition frequency is typically once per second to capture short-term fluctuations in light intensity. During deployment, obstructions, reflective surfaces, and ceiling structures are considered to ensure unobstructed sensor views and that the sensor is oriented towards the main illumination area. The collected data includes ambient light intensity (in lux), color temperature variation (in Kelvin), and spectral energy density distribution (in μW / cm² / nm).

[0023] Emergency scenarios typically include multiple key locations, such as evacuation routes, stairwells, emergency exits, and safe assembly points. Before analyzing illumination, it is necessary to determine the spatial coordinates and layout characteristics of these locations. Identification methods include measuring site dimensions, recording passageways and the locations of key facilities, and labeling each location with its spatial coordinates and height information within the scene. For large scenarios, a gridding method can be used to divide the scene into multiple regional units, with the center of each unit being the emergency scenario location point, to ensure the spatial accuracy of the illumination data. The surrounding reflective surface material, obstacles, and potential light obstruction are recorded for each location, as this information will affect illumination characteristics. By identifying the scene locations, the illumination collection point for each location can be clearly identified. After acquiring the illumination data for each emergency scenario location, the illumination characteristics need to be analyzed. First, the light intensity data is statistically processed to calculate the average, maximum, and minimum ambient light intensity for each location, and a spatial distribution curve is plotted to reflect the range of light intensity variation at different locations. Time-series analysis of color temperature variations was performed to extract trends under diurnal or emergency conditions. For example, color temperature fluctuations between 3000K and 6500K revealed the characteristics of a mixture of natural and artificial light. Furthermore, band integration and normalization of spectral energy density were performed to obtain the energy distribution characteristics of the visible spectrum (380–780 nm), and the proportion of light and color components at different locations was analyzed.

[0024] Emergency scenarios in different locations may serve different functions. For example, evacuation routes require continuous lighting, stairwells need to emphasize vertical illuminance, and exits need concentrated brightness. By analyzing the functional and layout characteristics of each scenario location, the scenario type for each location can be determined. The analysis methods include examining traffic density, spatial structure, and safety importance level. Based on lighting requirements, locations are divided into three categories: evacuation route type, critical node type, and open area type, each corresponding to different illuminance standards and lighting uniformity requirements. For example, evacuation routes require a brightness of no less than 150 lux, critical nodes require a vertical illuminance of over 200 lux, and open areas are allowed a brightness between 100 and 150 lux. The lighting requirements for each location are quantified based on scenario type and safety requirements. First, the target brightness range is determined according to functional requirements and specifications; for example, evacuation routes need to maintain 150–200 lux, and stairwells need to reach 200–250 lux. Then, the actual required light output is adjusted by considering spatial reflectivity and viewing angle. For example, a white wall has a reflectivity of 0.7, and a gray floor has a reflectivity of 0.3, allowing for adjustments to the power of the light source. The luminance requirement for each location is calculated using a lighting demand model, taking into account the contribution of natural light and the supplementary amount of artificial light, to obtain the target illuminance value. The luminance requirement for each location includes horizontal illuminance, vertical illuminance, and minimum illuminance in key line-of-sight directions, ensuring visual perception and safety of movement for personnel in emergency situations.

[0025] The brightness deviation is calculated by comparing the natural lighting conditions at each location with the required brightness. The brightness deviation is the difference between the target brightness and the natural light intensity, and the amount of artificial lighting needed is determined through calculation. For example, if the natural light intensity at an evacuation route is 80 lux, while the target brightness is 150 lux, the brightness deviation is 70 lux. Color temperature and spectral distribution are also taken into consideration for compensation. If the natural light is too warm or too cool, the color temperature of the compensation light source needs to be adjusted to maintain visual comfort and scene consistency. The brightness deviation calculated for each location is the brightness compensation value, which can be used to guide the adjustment of the light source output of emergency lighting devices, ensuring that each critical location still meets the safety lighting requirements when natural light is insufficient. At the same time, precise calculations avoid over-illumination and optimize power usage efficiency.

[0026] In this embodiment, the specific steps for calculating the differentiated lighting requirements based on the scene type to obtain the lighting requirements brightness for different locations are as follows: Based on the ambient light parameters, spectral analysis is performed to obtain the environmental spectral characteristics; Air scattering medium analysis is performed based on environmental spectral characteristics to obtain scattering medium data; the scattering medium data includes smoke and dust. Illumination penetration interference analysis was performed on the scattering medium data to obtain the penetration interference characteristics; Constructing the human eye's visual adaptation curve; Based on the human eye's visual adaptation curve, high color rendering index lighting standards are calculated for the scene type and penetration interference characteristics to obtain the required brightness of light at different locations.

[0027] In this embodiment, after acquiring the ambient light parameters at various locations in the emergency scenario, spectral analysis is required to clarify the light energy distribution across different wavelengths. The spectral analysis method involves illuminating the incident end of a spectral sensor with ambient light, separating light of different wavelengths using a grating, and recording their energy density. The spectral range typically covers the visible light band from 380 to 780 nanometers and extends to the near-ultraviolet and near-infrared bands to capture the complete energy distribution of the light source. The spectral resolution of each acquisition point can be set to 5 nanometers, with a data recording frequency of once per second, reflecting short-term fluctuations and transient characteristics of the illumination. The acquired spectral data is processed, including noise filtering, wavelength correction, and energy normalization, and then a spectral energy distribution curve for each location is generated. By analyzing the spectral peak positions, intensity ratios, and band energy distribution, environmental spectral characteristics can be obtained, including the dominant light band, the ratio of blue to red light, and the proportion of short-wave and long-wave energy. The propagation of ambient light is affected by the scattering and absorption of suspended particles in the air; therefore, the properties and concentration of the air scattering medium can be analyzed based on the environmental spectral characteristics. By comparing the differences in spatial attenuation of different wavelengths of light, the type and distribution of scattering media can be identified. Short-wavelength blue light attenuates significantly in smoke or fine dust, while long-wavelength red light attenuates less; ratio analysis can distinguish between smoke and dust components. Based on the spectral attenuation curves, the scattering coefficient, absorption coefficient, and scattering particle density can be calculated to obtain scattering media data for each location. Scattering media data includes not only the type but also the concentration range; for example, smoke concentration can be expressed as 10³ to 10³ per cubic meter. 6 Particulate matter and dust concentrations can range from 10² to 10² per cubic meter. 4 Within the particle range, the effect of air scattering on different colors of light can be identified by changes in band energy ratio, providing accurate data for analyzing illumination transmittance.

[0028] After obtaining the scattering medium data, it is necessary to analyze its impact on light penetration. Penetration interference analysis is performed by simulating the attenuation of light propagating in a space containing smoke and dust. By calculating the attenuation rate and scattering angle distribution of light at different wavelengths, the penetration interference characteristics of light at different locations can be obtained. Interference characteristics include transmittance, scattering increment, and light energy loss ratio, for example, at a concentration of 10... 5In particulate smoke environments, the transmittance of blue light can drop to 50%, while the transmittance of red light is approximately 80%. Increased light scattering angles can cause uneven illuminance distribution, affecting the visibility of emergency locations. By combining penetration interference characteristics with spectral characteristics, the actual lighting conditions at each emergency scenario location can be accurately described, providing necessary information for lighting brightness compensation and visual adaptation design. Human eye visual adaptation curves describe the eye's response to brightness and color under different lighting conditions, providing a reference for emergency lighting brightness calculations. The method for constructing these curves involves correlating ambient light intensity with perceived brightness based on the nonlinear response of the human eye to brightness. When the horizontal illuminance is below 10 lux, visual sensitivity changes rapidly, falling within the dark adaptation range; when the illuminance is between 100 and 300 lux, vision enters a bright adaptation state. The curves also need to consider color response, i.e., blue light has high sensitivity to short wavelengths, while red light has low sensitivity to long wavelengths. By mapping environmental spectral characteristics onto a visual response function, a visual adaptation curve for each location can be generated, showing the relationship between perceived brightness and actual light intensity in that environment. Furthermore, the effects of light attenuation and scattering on the scattering medium can be incorporated into the curve correction, enabling the visual adaptation curve to truly reflect the perceptual characteristics in smoky or dusty environments.

[0029] By combining the scene type, penetration interference characteristics, and human visual adaptation curve for each emergency location, the required illuminance under high color rendering index (CRI) lighting standards can be calculated. First, the target illuminance range is determined based on the scene type; for example, evacuation routes require a horizontal illuminance of 150–200 lux, while critical nodes require 200–250 lux. The visual adaptation curve is then used to map the environmental spectral characteristics and the light energy corrected for penetration interference to the perceived illuminance, calculating the actual perceptible light intensity. By comparing the difference between the target illuminance and the perceived illuminance, the required illuminance compensation for each location is obtained to ensure that the human eye can still clearly identify paths and exits under different scattering conditions. The calculation process considers color temperature adjustment and band equalization to ensure that the lighting meets safety standards while maintaining high CRI, facilitating visual comfort and object recognition in smoky or dusty environments.

[0030] In this embodiment, step S3 includes the following steps: Power conversion calculations are performed based on the energy supply assessment coefficients to obtain the maximum output power parameters; Power demand analysis is performed on the brightness compensation value to obtain the compensation power demand value; The power matching is performed based on the maximum output power parameter to the compensation power requirement value. When the maximum output power parameter is not less than the compensation power requirement value, it is determined that the power supply is sufficient and the full power lighting mode is activated. When the maximum output power parameter is less than the compensation power requirement value, the illuminance requirement is adjusted to output the minimum illuminance requirement for different locations.

[0031] In this embodiment, in the emergency lighting device, the power supply assessment coefficient reflects the power supply capacity that the current power source can provide under specific conditions. Based on the power supply assessment coefficient, it can be converted to the device's rated power to calculate the maximum output power parameter. Specifically, the power supply assessment coefficient is multiplied by the device's total power capacity. When the device's rated power is 500 watts and the power supply assessment coefficient is 0.85, the maximum output power is 500 × 0.85 = 425 watts. This calculation method quantifies the instantaneous maximum power output that can be tolerated under the current power supply conditions, providing a precise basis for light source power allocation. During the calculation process, the impact of remaining battery capacity and voltage fluctuations on output power must also be considered. This can be corrected using a voltage-power relationship curve to ensure that the output power fluctuation does not exceed ±5% of the rated value within a safe range. The brightness compensation value for each emergency location reflects the additional lighting required at that location to meet safety illuminance standards. By correlating the brightness compensation value with the luminous efficiency and photoelectric conversion efficiency of the light source, the corresponding compensation power requirement value can be obtained. The specific method involves first calculating the optical power requirement for each location. The formula is: Optical Power (Wt) = Brightness Compensation Value (lux) × Illuminated Area (m²) ÷ Light Source Efficiency (lumens / Wt). For example, if the brightness compensation value for an evacuation passage is 70 lux, the passage area is 10 m², and the light source efficiency is 100 lumens / Wt, then the compensation power requirement is approximately 7 watts. Next, the power requirements for all locations are summed to obtain the total compensation power requirement for the entire scene. The analysis also needs to consider the spatial uniformity of light distribution and the influence of reflective surfaces. For example, if the wall reflectivity is 0.6, the light source power can be appropriately reduced to ensure uniform compensation illumination without wasting energy.

[0032] After obtaining the maximum output power parameter and the total compensation power requirement, the two are compared. If the maximum output power is greater than or equal to the compensation power requirement, it means the power supply can meet the brightness compensation needs of all emergency locations. At this time, the full-power lighting mode can be activated, distributing the light source to each location according to the calculated brightness compensation value. When the maximum output power is 425 watts and the total compensation power requirement is 400 watts, the full power output can be distributed to evacuation routes, exits, and key nodes to achieve the target brightness for each location. To maintain illumination uniformity, power can be proportionally allocated based on the area and brightness differences of each location, ensuring that each location receives the required brightness compensation value. In full-power lighting mode, the light source output is stable and fully utilizes the power supply's energy storage capacity, ensuring visual safety and passage efficiency in emergency scenarios. When the maximum output power is less than the total compensation power requirement, the illuminance requirement needs to be dynamically adjusted to ensure that the power supply provides a minimum safe brightness for key locations with limited power. Specifically, this is done by first dividing the locations according to scenario type and location priority, with key evacuation routes and exits having the highest priority, and open areas or secondary areas having lower priority. Based on priority, the maximum output power is proportionally allocated to each location. For example, if the maximum output power is 350 watts, but the total compensation requirement is 400 watts, the power is allocated according to priority: 70% for critical passageways and 30% for other areas. This yields the actual output power for each location, which is then converted to actual illuminance based on light source efficiency. This method ensures that each location receives the minimum safety illuminance required; for example, a minimum illuminance of 150 lux for evacuation passageways, 200 lux for exits, and 100–120 lux for secondary areas based on remaining power. This step ensures visual safety in critical locations under power constraints, avoids waste due to over-allocation, and achieves dynamic power optimization and reliable control of the emergency lighting system.

[0033] In this embodiment, the specific steps for adjusting the illuminance requirement and outputting the minimum illuminance requirement at different locations when the maximum output power parameter is less than the compensation power requirement value are as follows: If the maximum output power parameter is less than the compensation power requirement value, it is determined that the power supply is insufficient. Lighting priority analysis is performed based on the scene type to obtain the lighting priority for different locations; Based on the lighting priority, the minimum illuminance requirement for each location is adjusted, and the minimum illuminance requirement for different locations is output.

[0034] In this embodiment, in the emergency lighting device, the maximum output power parameter reflects the instantaneous power that the current power supply can provide under specific conditions, while the compensation power requirement value represents the total power required to meet the brightness compensation of each emergency location. When the maximum output power is less than the total compensation power requirement, it means that the power supply cannot meet the brightness requirements of all locations under the current conditions, and it is determined that the power supply is insufficient. The specific judgment method is to compare the maximum output power with the total compensation power one by one to form a power difference list, which is used to quantify the power supply gap. For example, if the maximum output power is 350 watts and the total compensation requirement is 400 watts, the power gap is 50 watts, which indicates that the illumination distribution must be optimized and adjusted to ensure that key locations receive at least the minimum safe illuminance. In the case of insufficient power supply, it is necessary to perform lighting priority analysis on each emergency location to reasonably allocate limited power resources. The priority analysis method is determined according to the scene type and safety requirements, and each location is assigned a weight value. Evacuation routes and exits have the highest priority to ensure that personnel can evacuate smoothly; stairwells and key nodes are secondary to ensure vertical visibility and key operating areas; open areas or auxiliary passages have the lowest priority, and the illuminance can be reduced when necessary. Priority quantification can be standardized using a 0-1 range, for example, evacuation routes have a priority of 1.0, stairwells 0.8, exits 0.9, and auxiliary areas 0.5. By sorting each location, a lighting priority list is formed, providing a clear guideline for power allocation.

[0035] The total available power is allocated proportionally to each location according to priority, with higher priority locations receiving more power and lower priority locations receiving the remaining power. Then, based on the light source's luminous efficacy and the illuminated area, the allocated power is converted into the minimum achievable illuminance. For example, if an evacuation passage is allocated 100 watts of power with a luminous efficacy of 100 lumens / watt and an area of ​​10 square meters, the minimum illuminance is 100 lux. Each location is adjusted based on the space's reflectivity; for example, a wall reflectivity of 0.6 can increase the actual illuminance by approximately 10% to optimize light utilization efficiency. During this point-by-point adjustment, if the remaining power is insufficient after allocating power to a high-priority location, the illuminance of lower priority locations is reduced to a safe minimum to ensure the overall power does not exceed power supply limits.

[0036] In this embodiment, the specific steps of step S4 are as follows: The minimum illuminance requirement is constrained and allocated to obtain the minimum illuminance allocation power. Predict the power capacity attenuation trend based on the minimum illumination allocation power to obtain attenuation trend data; The power allocation ratio is adjusted based on the attenuation trend data to generate lighting power at different locations; The LED luminous flux is obtained by reverse calculation based on the lighting power. The power drive parameters of the LED luminous flux are adjusted to output lighting drive parameters; the lighting drive parameters include PWM duty cycle, constant current source reference voltage value and switching frequency.

[0037] In this embodiment, the minimum illuminance requirement for each location is combined with its illuminated area to calculate the required optical power. For example, if the minimum illuminance of an evacuation passage is 150 lux, the passage area is 12 square meters, and the luminous efficiency of the light source is 100 lumens / watt, then the corresponding power requirement is approximately 18 watts. The optical power requirements of all locations are summed and compared with the maximum output power parameter to determine whether the power supply constraints are met. In the event of insufficient power, the power of each location is adjusted by proportional reduction or priority allocation to ensure that the total power does not exceed the available output. If the total power requirement is 200 watts and the available power is 180 watts, then the power of high-safety-requirement locations is maintained at 90% according to priority, and the power of low-priority locations is reduced accordingly. The power supply capacity change trend is predicted to ensure that the lighting at each location can continuously meet safety requirements under long-term power supply. The attenuation trend prediction method is based on the analysis of the current power supply capacity, historical discharge curves, and internal resistance changes. For an energy storage unit with a capacity of 12 Ah and a current remaining capacity of 10 Ah, the power supply time can be predicted based on constant current consumption under continuous load power allocation. Considering the voltage drop caused by the increase in battery internal resistance over time, the power output prediction is corrected using the voltage-power curve. By iterating over the power output demand at each time point, power capacity degradation trend data can be generated, including the maximum power available at different future time points and the remaining power supply time.

[0038] The available power at each time point in the decay trend is compared with the minimum illuminance allocation power at each location. For locations with insufficient power, the proportion is adjusted according to priority or lighting importance. For example, critical evacuation routes maintain 90% power, while secondary routes are reduced to 50%, ensuring safe lighting in the most critical areas even with insufficient power. The adjustment process also considers light source efficiency and light reflection coefficient to ensure the actual illuminance reaches the target. After obtaining the lighting power at each location, the power needs to be converted into the corresponding LED luminous flux for precise control of the light source output. The reverse calculation method is: Luminous flux (lumens) = Lighting power (watts) × Light source luminous efficacy (lumens / watt). If the allocated power at a location is 15 watts and the LED luminous efficacy is 120 lumens / watt, then the corresponding luminous flux is 1800 lumens. This process also needs to consider the LED light source beam angle and illumination area, spatially correcting the luminous flux to ensure uniform illuminance in the target area. After obtaining the LED luminous flux at each location, it needs to be converted into power drive parameters to achieve precise current and brightness control. The driving parameters include the PWM duty cycle, the constant current source reference voltage, and the switching frequency. Specifically, the required driving current is calculated based on the luminous flux demand and the LED's electro-optical conversion efficiency, and then the constant current source reference voltage is determined to stabilize the output current. To achieve an output of 1800 lumens, with a nominal LED efficiency of 120 lumens / watt, the required current can be calculated as the constant current value corresponding to 15 watts. The PWM duty cycle is set according to the ratio of the driving current to the maximum current to ensure continuous and flicker-free light output; the switching frequency is adjusted based on the driver characteristics and the light source response time, typically set above 20 kHz to avoid visible flicker. Through these adjustments, the luminous flux demand is translated into precise power driving parameters, enabling real-time control of the lighting power at each location, while simultaneously considering illumination uniformity, energy efficiency, and power safety.

[0039] In this embodiment, the specific steps for predicting the temperature rise of the driving circuit and obtaining the temperature rise prediction data are as follows: Acquire ambient temperature data and temperature rise parameters of the power supply drive circuit; By performing time-series variation analysis on ambient temperature data, the characteristics of ambient temperature variation are obtained; The temperature rise parameters are periodically tracked and recorded, and the temperature rise trend curve is extracted. Based on the characteristics of ambient temperature change, a heat dissipation interference analysis was performed on the temperature rise trend curve to obtain the heat dissipation interference effect. Temperature rise prediction data for the drive circuit is obtained based on the heat dissipation interference effect.

[0040] In this embodiment, ambient temperature data and temperature rise parameters of the power drive circuit are acquired. Ambient temperature data is obtained by placing temperature acquisition devices at key locations in the lighting environment, such as the midpoint of the channel, near the power drive module, and in poorly ventilated corners. The acquired data needs to cover the entire operating period, and the frequency can be set to once per second or per minute to capture short-term fluctuations and long-term trends. The temperature rise parameters of the power drive circuit are obtained by measuring the temperature changes of the core components of the driver (such as power MOSFETs, constant current source modules, and heat sink surfaces), including transient and steady-state temperature rises. When recording parameters, it is important to ensure good contact between the temperature sensor and the drive components, and to consider the impact of heat conduction paths and heat dissipation effects on the temperature rise. The temperature rise of the drive module under rated power can reach 30–40°C, and the temperature rise rate under continuous load conditions is approximately 0.1–0.3°C / s. The time-series temperature data is processed to extract the mean, peak value, fluctuation amplitude, and rate of change. For example, in one channel, the temperature gradually rises from 20°C to 28°C, with a fluctuation amplitude of 8°C, and the average temperature rise rate is approximately 0.02°C / s. Comparing temperature curves at different locations reveals variations in temperature changes influenced by ventilation conditions, light source radiance, and the external environment. Analyzing temperature fluctuations caused by diurnal or load variations allows for the extraction of ambient temperature change characteristics, including average temperature, instantaneous peak temperature, and rate of rise. These characteristics can be used to assess the heat dissipation conditions of the drive circuit under the influence of the external environment.

[0041] Temperature data of key components is continuously collected under different load and time conditions and plotted as time-temperature curves. The recording frequency is typically once per second or per minute to capture rapid temperature rise and slow, cumulative temperature trends. For example, a power MOSFET at a rated output power of 300 watts starts to rise from an ambient temperature of 25°C, reaches a peak of 50°C after 5 minutes, and then stabilizes. Periodic tracking records provide a complete temperature rise trend curve, showing the pattern of temperature change over time, including the initial rise phase, transition phase, and steady-state phase. Overlaying the temperature rise trend curve with the characteristics of ambient temperature changes allows for the identification of periods of impeded or accelerated heat dissipation by comparing the correlation between the temperature rise curve and ambient temperature fluctuations over different time periods. When the ambient temperature rises from 22°C to 28°C, the peak temperature rise of the drive module increases by 5°C compared to the low-temperature condition, and the temperature rise rate increases from 0.1°C / s to 0.15°C / s, indicating that ambient temperature disturbances exacerbate heat accumulation. By analyzing these thermal interference effects, the contribution of ambient temperature to the temperature rise of the drive circuit can be quantified, including the additional temperature rise and the temperature rise delay time. Thermal interference analysis can consider airflow, module mounting location, heat sink contact area, and heat conduction efficiency, providing correction parameters for temperature rise prediction. After obtaining the thermal interference effects, the future temperature rise of the drive circuit can be predicted, yielding temperature rise prediction data. Prediction methods include combining the current temperature rise value, temperature rise trend curve, and ambient temperature interference correction parameters, using linear or nonlinear trend extrapolation to calculate the temperature at each future time point. For example, if the current temperature of the drive module is 35°C, and the ambient temperature continues to rise, it is predicted that the temperature may reach 50°C in 10 minutes, with the temperature rise rate potentially increasing by 0.05°C / s. Temperature rise prediction data can be generated in time series, including temperature changes of key components, maximum temperature, and steady-state temperature trends. The prediction results can be used to determine the safety margin of the drive circuit under different load and environmental conditions, guide the adjustment of power output and heat dissipation optimization, ensure that the emergency lighting device maintains a safe temperature range under high load and long-term operation, avoid overheating that leads to reduced light or drive damage, and achieve reliable power drive control.

[0042] In this embodiment, the specific steps for dynamically fine-tuning the lighting drive parameters based on temperature rise prediction data and outputting power drive control parameters are as follows: Based on the temperature rise prediction data, a comparative analysis is performed on the preset circuit junction temperature threshold. When the temperature rise prediction data is greater than the preset circuit junction temperature threshold, overheat protection is triggered, the lighting drive parameters are dynamically fine-tuned, and the power drive control parameters are output. The overheat protection triggering process specifically includes: Reduce the drive current amplitude and increase the PWM dimming frequency; Real-time monitoring of power supply voltage during the thermal protection process, and extraction of power supply voltage; The power supply voltage is corrected by constant current drive, and the output voltage is adjusted. The lighting drive parameters are dynamically fine-tuned based on the voltage adjustment value, and the power supply drive control parameters are output.

[0043] In this embodiment, the predicted temperature rise data of the driving circuit is compared point by point with the preset junction temperature threshold. The junction temperature threshold is usually set within the safe operating range of the driver, for example, the maximum junction temperature of a power MOSFET is 85°C. If the predicted temperature exceeds the threshold, for example, if the predicted temperature is 90°C, an overheating risk is determined, and overheat protection is immediately triggered. When overheat protection is triggered, the lighting driving parameters are dynamically fine-tuned to reduce the circuit's thermal load and extend the driver's lifespan. The fine-tuning process includes reducing the constant current drive amplitude, adjusting the PWM duty cycle, and optimizing the switching frequency to reduce heat generation. The original drive current is 1.2 A, which can be dynamically reduced to 1.0 A, while the PWM duty cycle is reduced from 80% to 70%, effectively reducing energy input. Through these adjustments, the temperature rise can be controlled within a safe range while ensuring the minimum illuminance requirement. The core operation of overheat protection is to achieve power distribution and heat reduction by reducing the drive current amplitude and increasing the PWM dimming frequency. Reducing the drive current amplitude means that the current flowing through the LED is reduced, thereby reducing instantaneous power and overall heat generation. Reducing the current from 1.2 A to 1.0 A can decrease heat accumulation by approximately 15%. Increasing the PWM dimming frequency shortens the conduction time interval and improves the switching speed, resulting in more uniform current fluctuations and avoiding heat concentration caused by low-frequency pulses. Increasing the adjustment frequency from 20 kHz to 40 kHz can significantly reduce the possibility of localized hotspots while maintaining stable light output. During operation, the adjustment range must be controlled within an acceptable range based on the light source brightness requirements; for example, the illuminance should not decrease by more than 10% to ensure that emergency lighting functionality is not affected.

[0044] Real-time monitoring of the power supply voltage is necessary for thermal protection operations to ensure stable constant current drive and luminous flux. Specifically, this involves acquiring the input voltage at the drive terminal using voltage acquisition points and recording fluctuations at a high sampling rate. For example, during PWM regulation, the power supply voltage may experience momentary drops or spikes due to load changes. By extracting real-time voltage data, it can be determined whether the current voltage meets the LED constant current drive requirements and whether there are any abnormal light outputs caused by load reduction or power supply regulation delays. Voltage monitoring can employ filtering and transient response analysis to ensure accurate and timely data acquisition, providing input for subsequent constant current correction. Based on the real-time acquired power supply voltage, constant current drive correction can be performed, generating a voltage adjustment value to compensate for voltage deficiencies caused by current reduction and PWM changes. The correction method compares the target constant current value with the actual voltage, calculating the required voltage adjustment based on the LED voltage-current characteristic curve. For example, if the LED nominal voltage is 36 V, and the actual voltage drops to 34 V after current reduction, the power supply drive output voltage needs to be adjusted to 36 V to maintain constant current output. The voltage adjustment value takes into account the effects of LED forward voltage drop, line impedance, and PWM duty cycle variations, and can be finely corrected in 0.1 V steps to ensure that the LED can still provide close to the target luminous flux under dynamic thermal protection conditions. Constant current correction balances power supply safety and lighting brightness, while preventing LED light output degradation or flickering due to excessively low voltage. After obtaining the voltage adjustment value, the drive parameters undergo final dynamic fine-tuning, including the constant current reference value, PWM duty cycle, and switching frequency, to achieve a balance between temperature rise control and lighting stability. Specifically, the voltage adjustment value is applied to the constant current source reference voltage to correct the drive current amplitude, and the pulse width is recalculated in conjunction with the PWM duty cycle to maintain the target luminous flux. For example, increasing the constant current reference voltage by 0.5 V corresponds to adjusting the PWM duty cycle to 95% of its original value, and maintaining the switching frequency at 40 kHz to ensure smooth light output. After adjustment, the final power supply drive control parameters are generated, ensuring that the LED luminous flux and illumination uniformity still meet emergency lighting requirements under controlled circuit temperature rise.

[0045] In this embodiment, a controller is provided for executing the power drive control method of the emergency device as described above, including: The power supply assessment unit is used to detect emergency lighting signals, activate emergency devices to enter the pre-power-on state, perform real-time power supply capacity assessment, and obtain the power supply assessment coefficient. A brightness compensation unit is used to collect ambient light parameters in emergency scenarios; and to calculate scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations. The power matching unit is used to perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. When it is determined that the power supply is insufficient, the illuminance requirement is adjusted and the minimum illuminance requirement for different positions is output. The parameter adjustment unit is used to adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters. The temperature rise prediction unit is used to predict the temperature rise of the drive circuit and obtain temperature rise prediction data; based on the temperature rise prediction data, the lighting drive parameters are dynamically fine-tuned and the power drive control parameters are output.

[0046] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0047] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein are implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A power supply drive control method for an emergency device, characterized in that, Includes the following steps: Step S1: Detecting an emergency lighting signal activates the emergency device to enter a pre-power-on state, performs a real-time power supply capacity assessment, and obtains the power supply assessment coefficient. Step S2: Collect ambient light parameters of the emergency scene; calculate the scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations; Step S3: Perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. If it is determined that the power supply is insufficient, adjust the illuminance requirement and output the minimum illuminance requirement for different locations. Step S4: Adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters; Step S5: Perform temperature rise prediction on the drive circuit to obtain temperature rise prediction data; dynamically fine-tune the lighting drive parameters based on the temperature rise prediction data, and output the power drive control parameters.

2. The power supply drive control method for the emergency device according to claim 1, characterized in that, The specific steps of step S1 are as follows: Upon detecting an emergency lighting signal, the emergency device is activated and enters a pre-power-on state, collecting real-time status parameters of the drive power supply. Based on the real-time state parameters, the remaining capacity of the power supply is calculated, and the input voltage fluctuation spectrum, voltage recovery slope, transient change of battery internal resistance, temperature rise rate of energy storage unit and self-discharge rate are obtained to obtain the power supply feature set. Battery polarization effect analysis was performed based on voltage recovery slope to obtain aging state data; Battery health is analyzed based on power feature set to obtain health index; Real-time power supply capacity is assessed based on aging status data and health index to obtain power supply assessment coefficients.

3. The power supply drive control method for the emergency device according to claim 1, characterized in that, The specific steps of step S2 are as follows: Deploy distributed spectral sensors to collect ambient light parameters in emergency scenarios; Identify multiple emergency scenario locations; Based on the multiple emergency scenario locations, the ambient light parameters are analyzed for illumination characteristics to obtain the natural illumination conditions for different emergency locations; the natural illumination conditions include ambient light intensity distribution, color temperature variation characteristics, and spectral energy density. Scenario type analysis was performed on multiple emergency scenario locations to obtain the scenario types for different locations; Based on the scene type, differentiated lighting requirements are calculated to obtain the lighting brightness requirements for different locations; Based on the natural lighting conditions, the required lighting brightness is calculated to obtain brightness compensation values ​​for multiple locations.

4. The power supply drive control method for the emergency device according to claim 3, characterized in that, The specific steps for calculating the differentiated lighting requirements based on the scene type to obtain the lighting requirements for different locations are as follows: Based on the ambient light parameters, spectral analysis is performed to obtain the environmental spectral characteristics; Air scattering medium analysis is performed based on environmental spectral characteristics to obtain scattering medium data; the scattering medium data includes smoke and dust. Illumination penetration interference analysis was performed on the scattering medium data to obtain the penetration interference characteristics; Constructing the human eye's visual adaptation curve; Based on the human eye's visual adaptation curve, high color rendering index lighting standards are calculated for the scene type and penetration interference characteristics to obtain the required brightness of light at different locations.

5. The power supply drive control method for the emergency device according to claim 1, characterized in that, Step S3 is as follows: Power conversion calculations are performed based on the energy supply assessment coefficients to obtain the maximum output power parameters; Power demand analysis is performed on the brightness compensation value to obtain the compensation power demand value; The power matching is performed based on the maximum output power parameter to the compensation power requirement value. When the maximum output power parameter is not less than the compensation power requirement value, it is determined that the power supply is sufficient and the full power lighting mode is activated. When the maximum output power parameter is less than the compensation power requirement value, the illuminance requirement is adjusted to output the minimum illuminance requirement for different locations.

6. The power supply drive control method for the emergency device according to claim 3, characterized in that, The specific steps for adjusting the illuminance requirement and outputting the minimum illuminance requirement at different locations when the maximum output power parameter is less than the compensation power requirement value are as follows: If the maximum output power parameter is less than the compensation power requirement value, it is determined that the power supply is insufficient. Lighting priority analysis is performed based on the scene type to obtain the lighting priority for different locations; Based on the lighting priority, the minimum illuminance requirement for each location is adjusted, and the minimum illuminance requirement for different locations is output.

7. The power supply drive control method for the emergency device according to claim 1, characterized in that, The specific steps of step S4 are as follows: The minimum illuminance requirement is constrained and allocated to obtain the minimum illuminance allocation power. Predict the power capacity attenuation trend based on the minimum illumination allocation power to obtain attenuation trend data; The power allocation ratio is adjusted based on the attenuation trend data to generate lighting power at different locations; The LED luminous flux is obtained by reverse calculation based on the lighting power. The power drive parameters of the LED luminous flux are adjusted to output lighting drive parameters; The lighting drive parameters include PWM duty cycle, constant current source reference voltage value, and switching frequency.

8. The power supply drive control method for the emergency device according to claim 1, characterized in that, The specific steps for predicting the temperature rise of the drive circuit and obtaining the temperature rise prediction data are as follows: Acquire ambient temperature data and temperature rise parameters of the power supply drive circuit; By performing time-series variation analysis on ambient temperature data, the characteristics of ambient temperature variation are obtained; The temperature rise parameters are periodically tracked and recorded, and the temperature rise trend curve is extracted. Based on the characteristics of ambient temperature change, a heat dissipation interference analysis was performed on the temperature rise trend curve to obtain the heat dissipation interference effect. Temperature rise prediction data for the drive circuit is obtained based on the heat dissipation interference effect.

9. The power supply drive control method for the emergency device according to claim 1, characterized in that, The specific steps for dynamically fine-tuning the lighting drive parameters based on temperature rise prediction data and outputting power drive control parameters are as follows: Based on the temperature rise prediction data, a comparative analysis is performed on the preset circuit junction temperature threshold. When the temperature rise prediction data is greater than the preset circuit junction temperature threshold, overheat protection is triggered, the lighting drive parameters are dynamically fine-tuned, and the power drive control parameters are output. The overheat protection triggering process specifically includes: Reduce the drive current amplitude and increase the PWM dimming frequency; Real-time monitoring of power supply voltage during the thermal protection process, and extraction of power supply voltage; The power supply voltage is corrected by constant current drive, and the output voltage is adjusted. The lighting drive parameters are dynamically fine-tuned based on the voltage adjustment value, and the power supply drive control parameters are output.

10. A controller, characterized in that, The power drive control method for executing the emergency device as described in claim 1 includes: The power supply assessment unit is used to detect emergency lighting signals, activate emergency devices to enter the pre-power-on state, perform real-time power supply capacity assessment, and obtain the power supply assessment coefficient. A brightness compensation unit is used to collect ambient light parameters in emergency scenarios; and to calculate scene lighting requirements based on the ambient light parameters to obtain brightness compensation values ​​for multiple locations. The power matching unit is used to perform power matching analysis on the brightness compensation value based on the power supply evaluation coefficient. When it is determined that the power supply is insufficient, the illuminance requirement is adjusted and the minimum illuminance requirement for different positions is output. The parameter adjustment unit is used to adjust the power drive parameters based on the minimum illuminance requirement and output the lighting drive parameters. The temperature rise prediction unit is used to predict the temperature rise of the drive circuit and obtain temperature rise prediction data; based on the temperature rise prediction data, the lighting drive parameters are dynamically fine-tuned and the power drive control parameters are output.

Images