Control system and method of LED lighting and emergency integrated lamp

Abstract

The invention relates to the technical field of electric heating control, in particular to a control system and method of an LED lighting and emergency integrated lamp. The method comprises the following steps: collecting battery electric quantity information of the LED lighting and emergency integrated lamp, and carrying out normalization processing on the battery electric quantity information to obtain standardized electric quantity data; ambient light intensity is collected, light intensity data is filtered, and smooth light intensity data is obtained; the method comprises the following steps: acquiring environment temperature data, and discretizing the environment temperature data to obtain temperature state characteristics; according to the invention, by collecting and processing the battery electric quantity, the light intensity and the temperature data and generating the control signal based on the electro-optical cooperative correlation coefficient and the electric temperature cooperative correlation coefficient, the intelligent illumination range and power control of the LED illumination and emergency integrated lamp are realized, and the illumination effect, the energy-saving performance and the equipment reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrothermal control, and particularly to a control system and method for an integrated LED lighting emergency lamp. Background Art

[0002] The existing integrated LED lighting emergency lamp is composed of multiple LED lamp beads, installed on a reflector to provide efficient and energy-saving lighting. The reflector can optimize the light distribution and improve the lighting effect; it is internally provided with a power supply device including a battery, an AC-DC converter, and a driving circuit. The AC-DC converter converts alternating current into direct current to charge the battery; the battery provides emergency power for the lamp in case of power failure; however, the power of the existing control power supply is usually fixed and cannot be adjusted according to actual needs. Specifically, in the emergency state, it cannot automatically reduce the power according to the battery power to extend the lighting time, resulting in the battery power being unable to support sufficient emergency lighting during a long power outage; the battery management circuit of the emergency lamp is usually relatively simple and cannot achieve intelligent charging and discharging management; specifically, the battery will be prematurely damaged due to frequent charging and discharging, and when not used for a long time, the battery power cannot be maintained in the best state. The existing integrated LED lighting emergency lamp usually adopts a simple power-off start mode and lacks intelligent control functions; specifically, it cannot flexibly adjust the lighting mode according to the ambient light or actual needs, nor can it achieve remote monitoring and self-check functions. Summary of the Invention

[0003] Based on this, it is necessary to provide a control system and method for an integrated LED lighting emergency lamp to solve at least one of the above technical problems.

[0004] To achieve the above object, a control method for an integrated LED lighting emergency lamp, the method includes the following steps:

[0005] Step S1: Collect the battery power information of the integrated LED lighting emergency lamp, perform normalization processing on the battery power information to obtain standardized power data; collect the ambient light intensity, perform filtering processing on the light intensity data to obtain smooth light intensity data; collect the ambient temperature data, perform discretization processing on the ambient temperature data to obtain temperature state characteristics;

[0006] Step S2: Perform time series analysis on the standardized power data to generate a power change rate characteristic; perform differential processing on the smooth light intensity data to generate a light intensity change rate characteristic; calculate the electro-optical collaborative correlation coefficient by combining the power change rate characteristic and the light intensity change rate characteristic; calculate the electro-temperature collaborative correlation coefficient by combining the power change rate characteristic and the temperature state characteristic;

[0007] Step S3: Perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical synergy correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-temperature synergy correlation coefficient, and adjust the power output to generate a power control signal;

[0008] Step S4: Determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

[0009] By normalizing the battery power information, the present invention can standardize the power data, eliminate the differences caused by different initial states and ranges, and provide a unified data basis for subsequent analysis. Filtering the ambient light intensity data effectively removes noise interference, making the light intensity data more stable and reliable, and avoiding misjudgment caused by instantaneous fluctuations. Discretizing the ambient temperature data simplifies the data structure, facilitates collaborative analysis with features such as power changes, and improves the data processing efficiency. These processes provide high-quality data support for the subsequent precise control of the operating mode of the LED lighting emergency integrated lamp, ensuring that the control strategy can make decisions based on accurate and stable input data. Generating the power change rate feature and the light intensity change rate feature, and calculating the electro-optical collaborative correlation coefficient can quantify the correlation between the power change and the light intensity change, providing a scientific basis for reasonably adjusting the lighting power and optimizing the lighting effect according to the light conditions. At the same time, calculating the electro-temperature collaborative correlation coefficient establishes the correlation between the power change and the ambient temperature, providing support for optimizing the battery management and lighting power output according to the temperature conditions, helping to extend the battery life and improve the stability of the device in different temperature environments. The extraction of these collaborative features provides key decision-making parameters for the subsequent intelligent control strategy, enabling the LED lighting emergency integrated lamp to dynamically adjust its operating state according to the actual operating environment. Based on the electro-optical collaborative correlation coefficient, the irradiation range sine-cosine wave control and the light intensity distribution adjustment can dynamically optimize the irradiation range and light intensity of the lighting, achieve the balance between the lighting effect and the power consumption, and improve the adaptability and energy-saving effect of the lighting device under different ambient light conditions. According to the electro-temperature collaborative correlation coefficient, the power tangent wave control and the power output adjustment can accurately optimize the power output according to the temperature and power conditions, avoid the performance degradation of the device caused by temperature changes, and reduce the impact of power mutations on the device and the power grid, improving the stability and reliability of the lighting device. These control strategies enable the LED lighting emergency integrated lamp to achieve refined lighting control in complex environments, improving the lighting quality and the operating efficiency of the device. By determining the lighting response mode through the irradiation range control signal and the power control signal, and dividing it into the energy-saving response mode and the emergency response mode, the automatic switching of the lighting mode according to the actual demand is realized. In the energy-saving mode, the current and voltage output are reduced, effectively saving power; in the emergency mode, the current and voltage output waveforms of the drive circuit are adjusted to ensure the lighting demand in case of emergency. This mode switching mechanism improves the adaptability and flexibility of the lighting device, enabling it to achieve the optimal lighting effect and energy-saving goal in different scenarios, and enhancing the intelligent level and practicality of the device. Through precise mode switching, the LED lighting emergency integrated lamp can minimize energy consumption during daily use, quickly respond and provide reliable lighting support in case of emergency, meeting the dual requirements of the LED lighting emergency integrated lamp for energy-saving and emergency functions.Therefore, the present invention collects and processes battery power, light intensity, and temperature data, and generates a control signal based on the electro-optical correlation coefficient and the electro-temperature correlation coefficient, realizing intelligent illumination range and power control of the LED lighting emergency integrated lamp, and improving the lighting effect, energy-saving performance, and equipment reliability.

[0010] Preferably, the time series analysis of the standardized power data in step S2 includes:

[0011] Feature mark the lamp emitting group, battery unit group, and light control unit group of the LED lighting emergency integrated lamp to obtain lamp emitting characteristics, battery unit characteristics, and light control unit characteristics;

[0012] According to the lamp emitting characteristics, battery unit characteristics, and light control unit characteristics, divide the standardized power data into power segments to obtain the lamp emitting power segment, battery unit power segment, and light control unit power segment;

[0013] In the lamp emitting power segment, calculate the lamp power change value in units of 5 seconds; in the battery unit power segment, calculate the battery power change value in units of 10 seconds; in the light control unit power segment, calculate the light control power change value in units of 15 seconds;

[0014] Accumulate the lamp power change value, battery power change value, and light control power change value, and divide by the total time of the three power segments to generate a power change rate characteristic.

[0015] The present invention realizes refined management and accurate evaluation of the power consumption of each functional unit of the lamp by feature marking the lamp emitting group, battery unit group, and light control unit group of the LED lighting emergency integrated lamp, dividing the power segments, calculating the power change values of each unit in different time units, and then comprehensively generating a power change rate characteristic. This processing method not only improves the accuracy of power monitoring, but also provides a scientific basis for subsequent energy-saving control and emergency response, ensuring the performance optimization and efficient management of the LED lighting emergency integrated lamp under different operating conditions.

[0016] Preferably, the differential processing of the smoothed light intensity data in step S2 includes:

[0017] Arrange the smoothed light intensity data in the order of light intensity acquisition time to form a light intensity time series;

[0018] For each data point in the light intensity time series, calculate the difference between it and the previous data point to obtain a light intensity difference series;

[0019] Normalize each difference value in the light intensity difference series so that its range is between [-1,1]; perform a moving window average process on the normalized difference series, and the window size is 3;

[0020] Perform a second-order difference process on the difference sequence after the sliding window averaging process to obtain the light intensity second-order difference sequence;

[0021] Take the absolute value of each difference value in the second-order difference sequence to obtain the light intensity absolute difference sequence;

[0022] Perform a weighted sum on each difference value in the absolute difference sequence to generate the light intensity change rate feature.

[0023] Through the time series processing of the smoothed light intensity data, the present invention successively calculates the light intensity difference sequence, normalization processing, sliding window averaging, second-order difference, absolute value processing, and weighted sum, and can effectively extract the dynamic features of the light intensity change. This process not only smooths the noise in the original data, but also eliminates the trend influence through the difference processing, making the light intensity change rate feature more capable of reflecting the instantaneous change and fluctuation of the ambient light. This feature extraction method provides an accurate ambient light basis for the intelligent control of the LED lighting emergency integrated lamp, helps to optimize the light intensity adjustment strategy of the lamp, and improves the response speed and energy-saving effect of the lighting system.

[0024] Preferably, calculating the electro-optical cooperation correlation coefficient from the power change rate feature and the light intensity change rate feature in step S2 includes:

[0025] For each data point in the power change rate feature data, calculate the difference between it and the previous data point to obtain the power difference data;

[0026] For each data point in the light intensity change rate feature data, calculate the difference between it and the previous data point to obtain the light intensity difference data;

[0027] Align the difference components of the power difference data and the light intensity difference data to obtain the power-light intensity difference data;

[0028] For each difference value in the power-light intensity difference data, calculate the product value with the previous difference value, and sum all the product values to obtain the power-light intensity product sum;

[0029] For each difference value in the power-light intensity difference data, calculate the squared difference amount with the previous difference value, and sum all the squared difference amounts to obtain the power-light intensity squared difference sum;

[0030] Determine the electro-optical cooperation correlation coefficient based on the power-light intensity product sum and the power-light intensity squared difference sum.

[0031] Through differential processing, alignment, product calculation, and squared difference calculation of the characteristic data of the power change rate and the characteristic data of the light intensity change rate, and based on the product sum and the sum of squared differences of power-light intensity, the electro-optical synergy correlation coefficient is determined, which can accurately quantify the dynamic correlation between the power change and the light intensity change. This process can not only effectively capture the instantaneous change relationship between the two, but also intuitively reflect their synergy degree through the correlation coefficient, providing a scientific basis for the intelligent control of the LED lighting emergency integrated lamp, so as to realize dynamically adjusting the lighting power according to the environmental light change, optimizing the energy-saving effect and the emergency response performance.

[0032] Preferably, calculating the electro-thermal synergy correlation coefficient from the power change rate characteristic and the temperature state characteristic in step S2 includes:

[0033] Performing segmented processing on the power change rate characteristic, and dividing the power change rate characteristic into the power charging change rate and the power discharging change rate;

[0034] Performing segmented processing on the temperature state characteristic, and dividing the temperature state characteristic into the constant temperature operation state and the overheat operation state;

[0035] Aligning the power charging change rate with the constant temperature operation state, and calculating the electro-thermal difference value of constant temperature charging to obtain the constant temperature charging difference sequence;

[0036] Aligning the power discharging change rate with the overheat operation state, and calculating the electro-thermal value of overheat discharging to obtain the overheat discharging difference sequence;

[0037] Determining the electro-thermal synergy correlation coefficient based on the constant temperature charging difference sequence and the overheat discharging difference sequence.

[0038] By performing segmented processing on the power change rate characteristic, dividing it into the power charging change rate and the power discharging change rate, and performing segmented processing on the temperature state characteristic, dividing it into the constant temperature operation state and the overheat operation state, the present invention can accurately distinguish the power and temperature change characteristics under different working conditions. Aligning the power charging change rate with the constant temperature operation state to obtain the constant temperature charging difference sequence; aligning the power discharging change rate with the overheat operation state to obtain the overheat discharging difference sequence. Determining the electro-thermal synergy correlation coefficient based on these two difference sequences can quantify the dynamic correlation between the power change and the temperature state, providing a scientific basis for the intelligent control of the LED lighting emergency integrated lamp, so as to realize optimizing the power management according to the temperature state and improving the operation efficiency and reliability of the device under different working conditions.

[0039] Preferably, in step S3, performing sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical synergy correlation coefficient and adjusting the light intensity distribution includes:

[0040] The illumination range of the LED lighting emergency integrated lamp is divided into multiple illumination areas according to the magnitude of the electro-optical collaborative correlation coefficient, and each illumination area corresponds to a specific sine-cosine wave control signal;

[0041] For each illumination area, a regional sine-cosine wave control signal is generated according to the electro-optical collaborative correlation coefficient, wherein the frequency and amplitude of the regional sine-cosine wave control signal are determined according to the positive or negative of the electro-optical collaborative correlation coefficient;

[0042] The angle of the reflector of the LED lamp group is adjusted through the regional sine-cosine wave control signal, and the driving rotation speed direction of the micro-motor corresponding to the reflector is controlled;

[0043] In each illumination area, the control signal for the driving rotation speed direction of the micro-motor adopts sine-cosine waveform control, with a frequency range of 0.1 Hz to 10 Hz and an amplitude range of 0.1 V to 5 V;

[0044] The light intensity level of the LED lamp group is determined for each illumination area, and the number of LED light-emitting beads corresponding to the light intensity level of the LED lamp group is identified;

[0045] The on-off situation of the number of LED light-emitting beads is adjusted through the regional sine-cosine wave control signal.

[0046] In the present invention, the illumination range of the LED lighting emergency integrated lamp is divided into multiple illumination areas according to the magnitude of the electro-optical collaborative correlation coefficient, and a specific sine-cosine wave control signal is generated for each area, which can dynamically adjust the illumination range and light intensity distribution of the lamp according to the light conditions. The frequency and amplitude of the regional sine-cosine wave control signal are determined according to the positive or negative of the electro-optical collaborative correlation coefficient. By adjusting the reflector angle and the driving rotation speed direction of the micro-motor through this signal, precise control of the LED lamp group is achieved. The control signal for the driving rotation speed direction of the micro-motor adopts a sine-cosine waveform, and its frequency and amplitude ranges are 0.1 Hz to 10 Hz and 0.1 V to 5 V respectively, which can flexibly adapt to the lighting requirements in different environments. At the same time, by determining the light intensity level of the LED lamp group and the corresponding number of LED light-emitting beads in each illumination area, and using the regional sine-cosine wave control signal to adjust the on-off situation of the beads, fine adjustment of the light intensity is realized. This control method can significantly improve the lighting effect and energy-saving performance of the LED lighting emergency integrated lamp in different scenarios, and ensure efficient and reliable lighting support in case of emergency.

[0047] Preferably, in step S3, power tangent wave control is performed on the LED lighting emergency integrated lamp according to the electro-temperature collaborative correlation coefficient, and adjusting the power output includes:

[0048] The power output of the LED lighting emergency integrated lamp is divided into multiple power intervals according to the value of the electro-temperature collaborative correlation coefficient, and each power interval corresponds to a specific tangent wave control signal;

[0049] For each power interval, an interval tangent wave control signal is generated according to the electro-temperature cooperation correlation coefficient. Among them, the rising edge slope and falling edge slope of the interval tangent wave control signal are determined according to the positive or negative of the electro-temperature cooperation correlation coefficient;

[0050] For each power interval, the power output of the LED lamp group is adjusted according to the interval tangent wave control signal, and the power output is adjusted by changing the driving current of the LED lamp group;

[0051] In each power interval, the adjustment range of the driving current is set to 0.1 A to 2 A, and the specific driving current is determined according to the rising edge and falling edge slopes of the tangent wave control signal.

[0052] The present invention divides the power output of the LED lighting emergency integrated lamp into multiple power intervals according to the value of the electro-temperature cooperation correlation coefficient, and each power interval corresponds to a specific tangent wave control signal. The rising edge slope and falling edge slope of the tangent wave control signal are determined according to the positive or negative of the electro-temperature cooperation correlation coefficient, and then the power output of the LED lamp group is adjusted. In each power interval, the adjustment range of the driving current is set to 0.1 A to 2 A, and the specific driving current is determined according to the slope of the tangent wave control signal. This control method can dynamically adjust the power output according to the temperature state, ensure that the LED lighting emergency integrated lamp can operate efficiently under different temperature conditions, optimize energy consumption and extend the service life of the device.

[0053] Preferably, in step S4, determining the lighting response mode according to the irradiation range control signal and the power control signal, and dividing the lighting response mode into an energy-saving response mode and an emergency response mode includes:

[0054] Parameterize the irradiation range control signal and the power control signal, and perform weighted summation according to a weight ratio of 0.6:0.4 to obtain a control signal cooperation coefficient;

[0055] Numericalize the control signal cooperation coefficient and determine the lighting response mode; when the control signal cooperation coefficient is less than 0.3, it is determined as the energy-saving response mode; when the control signal cooperation coefficient is greater than or equal to 0.3, it is determined as the emergency response mode.

[0056] The present invention parameterizes the irradiation range control signal and the power control signal, and performs weighted summation according to a weight ratio of 0.6:0.4 to obtain a control signal cooperation coefficient. Numerically process the control signal cooperation coefficient, and when it is less than 0.3, it is determined as the energy-saving response mode, and when it is greater than or equal to 0.3, it is determined as the emergency response mode. This mode division method can accurately judge the working state of the LED lighting emergency integrated lamp according to the numerical characteristics of the comprehensive control signal, so as to realize the rapid switching between the energy-saving and emergency functions.

[0057] Preferably, in step S4, the LED lighting emergency integrated lamp is switched between modes based on the lighting response mode. When in the energy-saving response mode, reducing the current and voltage output includes:

[0058] In the energy-saving response mode, the voltage is reduced to 80% of the rated value and maintained for 1 minute; then further reduced to 70% of the rated value; the current is reduced to 70% of the rated value and maintained for 1 minute; then further reduced to 60% of the rated value;

[0059] During each reduction of voltage and current, the actual current and voltage of the LED lamp group are monitored through the current feedback circuit;

[0060] The operating temperature of the LED lamp group in the energy-saving response mode is monitored through the temperature sensor, and the operating temperature of the LED lamp group is controlled within a preset temperature range.

[0061] In the energy-saving response mode of the present invention, by gradually reducing the voltage and current to 80%, 70%, and 60% of the rated value and maintaining for a certain time, the energy consumption of the LED lamp group can be gradually reduced. At the same time, the actual current and voltage are monitored in real time through the current feedback circuit to ensure precise control of the current and voltage. In addition, by using the temperature sensor to monitor the operating temperature of the LED lamp group and controlling it within the preset temperature range, it can effectively prevent abnormal temperature changes caused by the reduction of current and voltage, ensure the stable operation of the LED lamp group in the energy-saving mode, extend the service life of the lamp, and achieve the dual goals of high energy efficiency and equipment safety.

[0062] This specification also provides a control system for an LED lighting emergency integrated lamp, which is used to execute the control method of the LED lighting emergency integrated lamp as described above. The control system of the LED lighting emergency integrated lamp includes:

[0063] An LED lighting information acquisition module, which is used to acquire the battery power information of the LED lighting emergency integrated lamp, perform normalization processing on the battery power information to obtain standardized power data; acquire the ambient light intensity, perform filtering processing on the light intensity data to obtain smooth light intensity data; acquire the ambient temperature data, and perform discretization processing on the ambient temperature data to obtain temperature state characteristics;

[0064] A cooperation coefficient calculation module, which is used to perform time series analysis on the standardized power data to generate a power change rate characteristic; perform differential processing on the smooth light intensity data to generate a light intensity change rate characteristic; calculate the electro-optical cooperation correlation coefficient by combining the power change rate characteristic and the light intensity change rate characteristic; calculate the electro-temperature cooperation correlation coefficient by combining the power change rate characteristic and the temperature state characteristic;

[0065] A control signal generation module is used to perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical cooperation correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-temperature cooperation correlation coefficient, and adjust the power output to generate a power control signal;

[0066] An LED lighting control module is used to determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

[0067] In the present invention, the LED lighting information acquisition module collects and preprocesses the battery power, ambient light intensity, and temperature data, providing accurate data support for subsequent control; the cooperation coefficient calculation module generates the electro-optical cooperation correlation coefficient and the electro-temperature cooperation correlation coefficient based on the processed data, quantifying the dynamic relationship between the power and the light and temperature; the control signal generation module generates the irradiation range control signal and the power control signal accordingly, realizing the refined control of the LED lighting emergency integrated lamp; the LED lighting control module determines the lighting response mode according to the control signal and performs mode switching, ensuring that the current and voltage output are reduced in the energy-saving response mode to save energy, and the current and voltage output waveforms are adjusted in the emergency response mode to ensure the lighting demand. The entire system realizes the intelligent and refined control of the LED lighting emergency integrated lamp, improves the lighting effect, energy-saving performance, and equipment reliability, and adapts to the requirements of various application scenarios. Brief Description of the Drawings

[0068] Figure 1 It is a schematic diagram of the step flow of a control method for an LED lighting emergency integrated lamp;

[0069] Figure 2 For Figure 1 It is a schematic diagram of the detailed implementation steps of performing time series analysis on the standardized power data in step S2 in

[0070] The realization, functional characteristics, and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the drawings. Specific Embodiments

[0071] The technical method of the present invention will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0072] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor methods and / or microcontroller methods.

[0073] It should be understood that although terms such as "first" and "second" may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0074] To achieve the above object, please refer to Figures 1 to 2 , a control method for an integrated LED lighting emergency lamp, the method comprising the following steps:

[0075] Step S1: Collect the battery power information of the integrated LED lighting emergency lamp, normalize the battery power information to obtain normalized power data; collect the ambient light intensity, filter the light intensity data to obtain smoothed light intensity data; collect the ambient temperature data, and discretize the ambient temperature data to obtain temperature state characteristics;

[0076] Step S2: Perform time series analysis on the normalized power data to generate a power change rate characteristic; perform differential processing on the smoothed light intensity data to generate a light intensity change rate characteristic; calculate the electro-optical collaborative correlation coefficient by combining the power change rate characteristic and the light intensity change rate characteristic; calculate the electro-temperature collaborative correlation coefficient by combining the power change rate characteristic and the temperature state characteristic;

[0077] Step S3: Perform sinusoidal and cosine wave control on the irradiation range of the integrated LED lighting emergency lamp according to the electro-optical collaborative correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the integrated LED lighting emergency lamp according to the electro-temperature collaborative correlation coefficient, and adjust the power output to generate a power control signal;

[0078] Step S4: Determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

[0079] In the embodiment of the present invention, refer to Figure 1 As shown, it is a schematic diagram of the step flow of a control method for an LED lighting emergency integrated lamp of the present invention. In this example, the control method for the LED lighting emergency integrated lamp includes the following steps:

[0080] Step S1: Collect the battery power information of the LED lighting emergency integrated lamp, perform normalization processing on the battery power information to obtain standardized power data; collect the ambient light intensity, perform filtering processing on the light intensity data to obtain smooth light intensity data; collect the ambient temperature data, perform discretization processing on the ambient temperature data to obtain temperature state characteristics.

[0081] In the embodiments of the present invention, a voltage acquisition module in a battery management system (BMS) is used to perform real-time sampling on the voltage signal of the battery through an analog-to-digital converter (ADC) of an embedded microcontroller (such as STM32). The battery voltage acquisition module converts the voltage signal of the battery into an electrical signal suitable for the input of the ADC. The ADC module of the microcontroller digitizes the battery voltage at a fixed sampling frequency (for example, sampling 10 times per second) to obtain the original data of the battery power; according to the characteristics of the battery, the minimum threshold voltage (V_min) and the full charge state voltage (V_max) of the battery power are preset in advance. The acquired battery voltage value (V_battery) is compared with these two thresholds. By means of linear mapping, the value of V_battery is mapped to the range of 0 to 1, where V_min corresponds to 0 and V_max corresponds to 1. The specific operation is to subtract V_min from V_battery and then divide by (V_max - V_min) to obtain the normalized power data (V_normalized). For example, if V_min is 3.0V, V_max is 4.2V, and the acquired V_battery is 3.6V, then the normalized V_normalized is 0.5, indicating that the battery power is 50%. An ambient light sensor (such as BH1750FVI) is used to detect the ambient light intensity. The sensor converts the light intensity into an analog voltage signal and converts it into a digital signal through an analog-to-digital converter (ADC). The sensor outputs the original data of the light intensity at a fixed frequency (such as sampling 1 time per second), denoted as Raw_light; in order to eliminate the noise in the ambient light intensity data, a moving average filtering algorithm is adopted. Set a window size N (for example, N = 5). Starting from the first data point of the Raw_light sequence, continuously take N consecutive data points and calculate the average value of these N data points as the new smoothed data point. Then move the window backward by one data point and repeat the above calculation process until the entire Raw_light sequence is processed, and finally obtain the smoothed light intensity data Smooth_light. For example, if the Raw_light of 5 consecutive sampling points is 100, 120, 110, 130, 105 respectively, then the corresponding Smooth_light is 115. An integrated digital temperature sensor (such as DS18B20) is used to measure the ambient temperature. The sensor is connected to the microcontroller through a single-wire interface and outputs the original data of the ambient temperature at a fixed frequency (such as sampling 1 time per second), denoted as T_raw; according to the requirements of the actual application scenario, the ambient temperature is divided into several discrete states. For example, the temperature range is set as low temperature (T_low, range from 0°C to 15°C), medium temperature (T_medium, range from 16°C to 25°C), and high temperature (T_high, range from 26°C to 40°C).By judging the temperature range where T_raw is located, it is converted into the corresponding discrete state value to obtain the temperature state feature T_state. For example, if the collected T_raw is 20 °C, then T_state is medium temperature (T_medium).

[0082] Step S2: Perform time series analysis on the standardized power data to generate a power change rate feature; perform differential processing on the smoothed light intensity data to generate a light intensity change rate feature; calculate the electro-optical collaborative correlation coefficient from the power change rate feature and the light intensity change rate feature; calculate the electro-temperature collaborative correlation coefficient from the power change rate feature and the temperature state feature;

[0083] In the embodiments of the present invention, time series analysis technology is used to process the normalized power data (V_normalized). Through the timer module of the embedded microcontroller, the values of V_normalized are recorded at fixed time intervals (such as 1 second). Then, differential calculation is performed on two adjacent V_normalized values, that is, subtracting the V_normalized value at the previous moment from the V_normalized value at the current moment to obtain the charge rate feature (Charge_rate). For example, if V_normalized at the current moment is 0.6 and at the previous moment is 0.55, then Charge_rate is 0.05. This process is carried out sequentially for the entire V_normalized sequence, and finally a charge rate feature sequence is obtained. Differentiate the smoothed light intensity data (Smooth_light). The discrete difference method is adopted to calculate the difference between adjacent sampling points. The specific operation is to subtract the Smooth_light value at the previous moment from the Smooth_light value at the current moment to obtain the light intensity rate feature (Light_rate). For example, if Smooth_light at the current moment is 120 and at the previous moment is 115, then Light_rate is 5. This process is also carried out sequentially for the entire Smooth_light sequence, and finally a light intensity rate feature sequence is obtained. Perform correlation analysis on the charge rate feature (Charge_rate) and the light intensity rate feature (Light_rate). First, calculate the covariance of the two feature sequences, that is, statistically calculate the average value of the product of the deviations of the two sequences. Then, calculate the standard deviations of the two sequences respectively, that is, the square root of the average value of the squares of the deviations of each sequence from its mean. Finally, divide the covariance by the product of the two standard deviations to obtain the electro-optical synergy correlation coefficient (Corr_EL). Perform correlation analysis on the charge rate feature (Charge_rate) and the temperature state feature (T_state). Since the temperature state feature is discrete, first convert it into a numerical sequence. For example, map low temperature (T_low) to 0, medium temperature (T_medium) to 1, and high temperature (T_high) to 2. Then, calculate the covariance of the charge rate feature (Charge_rate) and the numerical sequence of the temperature state feature, and calculate the standard deviations of the two sequences respectively. Finally, divide the covariance by the product of the two standard deviations to obtain the electro-temperature synergy correlation coefficient (Corr_ET).

[0084] Step S3: Perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical synergy correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-temperature synergy correlation coefficient, and adjust the power output to generate a power control signal;

[0085] In the embodiment of the present invention, the timer module of an embedded microcontroller (such as STM32) is used to generate sine and cosine wave signals. By setting the interrupt frequency and duty cycle change rule of the timer, the sine and cosine waveforms are simulated. According to the magnitude of the electro-optical cooperation coefficient (Corr_EL), the frequency and amplitude of the sine and cosine waves are dynamically adjusted. When Corr_EL is relatively high, the frequency of the sine and cosine waves is increased to make the irradiation range change rapidly; when Corr_EL is relatively low, the frequency is decreased to make the irradiation range change slowly. The generated sine and cosine wave signals are transmitted to the driving module of the LED lamp through the PWM driving circuit to control the irradiation angle of the LED lamp. By adjusting the duty cycle of the PWM signal, the light intensity distribution of the LED lamp is changed, thereby generating an irradiation range control signal. The timer module of the embedded microcontroller is used to generate tangent wave signals. By setting the interrupt frequency and duty cycle change rule of the timer, the tangent waveform is simulated. According to the magnitude of the electro-temperature cooperation coefficient (Corr_ET), the frequency and amplitude of the tangent wave are dynamically adjusted. When Corr_ET is relatively high, the frequency and amplitude of the tangent wave are increased to make the power output of the LED lamp increase rapidly; when Corr_ET is relatively low, the frequency and amplitude are decreased to make the power output decrease. The generated tangent wave signals are transmitted to the power control module of the LED lamp through the PWM driving circuit to adjust the power output of the LED lamp, thereby generating a power control signal.

[0086] Step S4: Determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; based on the lighting response mode, perform mode switching on the LED lighting emergency integrated lamp. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the driving circuit.

[0087] In the embodiments of the present invention, when both the electro-optical collaborative correlation coefficient (Corr_EL) and the electro-thermal collaborative correlation coefficient (Corr_ET) are at a relatively low level, it is determined as the energy-saving response mode. At this time, the system outputs a control signal through the I / O interface of the microcontroller to reduce the current and voltage output of the LED driver circuit. The specific parameter settings are as follows: the output current of the LED driver circuit is reduced to 30% - 50% of the rated current, and the voltage is reduced to 70% - 80% of the rated voltage to reduce energy consumption. When any one of the electro-optical collaborative correlation coefficient (Corr_EL) or the electro-thermal collaborative correlation coefficient (Corr_ET) exceeds a preset threshold, it is determined as the emergency response mode. At this time, the system outputs a control signal through the I / O interface of the microcontroller to adjust the current and voltage output waveforms of the driver circuit. The specific parameter settings are as follows: the output current of the LED driver circuit is increased to 80% - 100% of the rated current, and the voltage is adjusted to 90% - 100% of the rated voltage to ensure sufficient brightness and illumination range. In the energy-saving response mode, the microcontroller reduces the current and voltage output of the LED driver circuit by controlling the duty cycle of the PWM signal. For example, the duty cycle of the PWM signal is reduced from 100% to 30% - 50%, thereby achieving a reduction in current and voltage. In the emergency response mode, the microcontroller adjusts the frequency and duty cycle of the PWM signal according to the preset waveform parameters to change the current and voltage output waveforms of the driver circuit. For example, the frequency of the PWM signal is adjusted to 50Hz - 100Hz, and the duty cycle is adjusted to 80% - 100%, thereby achieving sufficient power output.

[0088] Especially importantly, when in the emergency response mode, adjusting the current and voltage output waveforms of the driver circuit includes:

[0089] In the emergency response mode, generating a specific modulation signal through the microcontroller;

[0090] Adjusting the current output waveform to a square wave and the voltage output waveform to a sine wave;

[0091] Setting the frequency of the square wave current to 50Hz and the frequency of the sine wave voltage to 60Hz;

[0092] Gradually transitioning the current waveform from a sine wave to a square wave, with the frequency of the square wave current set to 50Hz; gradually transitioning the voltage waveform from a square wave to a sine wave, with the frequency of the sine wave voltage set to 60Hz; the transition time is set to 2 seconds for both;

[0093] Continuously monitoring the battery power of the LED lighting emergency integrated lamp, when it is detected that the battery power of the LED lighting emergency integrated lamp decreases, reducing the amplitude of the current square wave while maintaining the amplitude of the voltage sine wave.

[0094] In an embodiment of the present invention, a microcontroller (such as STM32) generates a PWM signal through its built-in timer module to control the waveforms of current and voltage. The timer is configured in PWM output mode, and the frequency and duty cycle of the PWM signal are set to achieve precise control of the current and voltage waveforms. The current output waveform is adjusted to a square wave with a frequency set to 50 Hz. The specific operation is to configure the frequency of the PWM signal to 50 Hz and the duty cycle to 50% through the timer module of the microcontroller, thereby generating a square wave current. To achieve the transition from a sine wave to a square wave, the microcontroller gradually adjusts the duty cycle of the PWM signal within 2 seconds, linearly increasing from the initial duty cycle of the sine wave (e.g., 30%) to 50% to complete the transition. The voltage output waveform is adjusted to a sine wave with a frequency set to 60 Hz. Through the timer module of the microcontroller, the frequency of the PWM signal is configured to 60 Hz, and a sine wave modulation signal is generated through a software algorithm. To achieve the transition from a square wave to a sine wave, the microcontroller gradually adjusts the duty cycle of the PWM signal within 2 seconds, linearly changing from the initial duty cycle of the square wave (e.g., 50%) to the initial duty cycle of the sine wave (e.g., 30%) to complete the transition. The microcontroller real-time monitors the battery power of the LED lighting emergency integrated light through a battery management system (BMS). When it detects a decrease in the battery power, it reduces the amplitude of the square wave current by adjusting the duty cycle of the PWM signal. The specific operation is to gradually decrease the duty cycle of the PWM signal according to the degree of decrease in the battery power, thereby reducing the amplitude of the current while keeping the amplitude of the voltage sine wave unchanged.

[0095] As an example of the present invention, refer to Figure 2 As shown, the time series analysis of the standardized power data in step S2 of this example includes:

[0096] Step S21: Feature mark the lamp emitting group, battery unit group, and light control unit group of the LED lighting emergency integrated light to obtain the lamp emitting feature, battery unit feature, and light control unit feature;

[0097] Step S22: Divide the standardized power data according to the lamp emitting feature, battery unit feature, and light control unit feature to obtain the lamp emitting power segment, battery unit power segment, and light control unit power segment;

[0098] Step S23: In the lamp emitting power segment, calculate the lamp power change value in units of 5 seconds; in the battery unit power segment, calculate the battery power change value in units of 10 seconds; in the light control unit power segment, calculate the light control power change value in units of 15 seconds;

[0099] Step S24: Accumulate the lamp power change value, battery power change value, and light control power change value, and divide by the total time of the three power segments to generate the power change rate feature.

[0100] In the embodiments of the present invention, by detecting parameters such as the brightness and color temperature of the lighting group of the lamp, the characteristic values in different working states are marked. For example, a light sensor is used to measure the luminous intensity of the lamp, and the brightness change curve at different currents is recorded. The battery unit group is characterized and marked, and the change curves of parameters such as its voltage, current, and temperature are recorded. The open-circuit voltage (OCV) and charge-discharge current of the battery are collected through a battery management system (BMS), and its characteristics at different states of charge (SOC) are marked. The light control unit group is characterized and marked, and its working states at different ambient light intensities are recorded. For example, an ambient light sensor is used to measure the ambient light intensity, and the response characteristics of the light control unit at different light intensities are recorded. According to the lighting characteristics of the lamp, the part of the standardized power data related to the lighting of the lamp is divided into a lamp lighting power segment. For example, when the brightness of the lamp reaches a certain threshold, the corresponding power interval is the lamp lighting power segment. According to the characteristics of the battery unit, the part of the standardized power data related to the charge and discharge of the battery is divided into a battery unit power segment. For example, according to the OCV-SOC relationship curve of the battery, the power data is divided into different SOC intervals. According to the characteristics of the light control unit, the part of the standardized power data related to the light control is divided into a light control unit power segment. For example, when the ambient light intensity is lower than a certain threshold, the corresponding power interval is the light control unit power segment. Within the lamp lighting power segment, the power data at each time point is recorded in units of 5 seconds. By calculating the power difference between adjacent time points, the lamp power change value is obtained. For example, if the power drops from 0.45 to 0.43 within a certain 5 seconds, the power change value is -0.02. Within the battery unit power segment, the power data at each time point is recorded in units of 10 seconds. By calculating the power difference between adjacent time points, the battery power change value is obtained. Within the light control unit power segment, the power data at each time point is recorded in units of 15 seconds. By calculating the power difference between adjacent time points, the light control power change value is obtained. The power change values within each power segment are accumulated to obtain the total power change value. Calculate the total time of the three power segments (for example, the total time of the lamp segment is 5 seconds × the number of segments, the total time of the battery segment is 10 seconds × the number of segments, and the total time of the light control segment is 15 seconds × the number of segments). Divide the total power change value by the total time to obtain the power change rate characteristic. For example, if the total power change value is -0.1 and the total time is 30 seconds, the power change rate characteristic is -0.0033.

[0101] Preferably, the differential processing of the smoothed light intensity data in step S2 includes:

[0102] Arrange the smoothed light intensity data in the order of the light intensity acquisition time to form a light intensity time series;

[0103] For each data point in the light intensity time series, calculate the difference between it and the previous data point to obtain the light intensity difference sequence;

[0104] Normalize each difference value in the light intensity difference sequence so that its range is between [-1, 1]; perform a moving window average on the normalized difference sequence with a window size of 3;

[0105] Perform a second-order difference on the difference sequence after the moving window average to obtain the light intensity second-order difference sequence;

[0106] Take the absolute value of each difference value in the second-order difference sequence to obtain the light intensity absolute difference sequence;

[0107] Perform a weighted sum of each difference value in the absolute difference sequence to generate the light intensity change rate feature.

[0108] In the embodiments of the present invention, the collected smooth light intensity data (Smooth_light) is arranged in the order of light intensity collection time to form a light intensity time series (Light_seq). Each data point in the light intensity time series is the light intensity value recorded in chronological order. Then, for each data point in the light intensity time series, the difference between it and the previous data point is calculated to obtain a light intensity difference sequence (Diff_seq). The specific operation is as follows: for the i-th data point Smooth_light[i] in the sequence, calculate the difference between it and the previous data point Smooth_light[i - 1], that is, Diff_seq[i] = Smooth_light[i] - Smooth_light[i - 1]. Then, each difference value in the light intensity difference sequence is normalized so that its range is between [-1, 1]. Normalization is achieved by calculating the ratio of each difference value to the maximum absolute value in the difference sequence, that is, the normalized difference value is Norm_diff[i] = Diff_seq[i] / max(abs(Diff_seq)). After that, a moving window average process is performed on the normalized difference sequence, and the window size is 3. The specific operation is as follows: for the i-th data point Norm_diff[i] in the normalized difference sequence, take the average of it and the previous two data points Norm_diff[i - 1], Norm_diff[i - 2], that is, the difference value after the moving window average is Smooth_diff[i] = (Norm_diff[i - 2] + Norm_diff[i - 1] + Norm_diff[i]) / 3. Subsequently, a second-order difference process is performed on the difference sequence after the moving window average process to obtain a light intensity second-order difference sequence (Second_diff_seq). The specific operation is as follows: for the i-th data point Smooth_diff[i] in the difference sequence after the moving window average, calculate the difference between it and the previous data point Smooth_diff[i - 1], that is, Second_diff_seq[i] = Smooth_diff[i] - Smooth_diff[i - 1]. Then, an absolute value process is performed on each difference value in the second-order difference sequence to obtain a light intensity absolute difference sequence (Abs_diff_seq). The specific operation is as follows: take the absolute value of each data point Second_diff_seq[i] in the second-order difference sequence, that is, Abs_diff_seq[i] = abs(Second_diff_seq[i]). Finally, each difference value in the absolute difference sequence is weighted and summed to generate a light intensity change rate feature (Light_rate).Set the weight coefficient, for example, the weight coefficient w[i] that increases in chronological order, and perform weighted summation on each data point in the absolute difference sequence, that is, Light_rate = Σ(w[i] * Abs_diff_seq[i]), where the weight coefficient w[i] can be adjusted according to actual needs to reflect the importance of data at different time points.

[0109] Preferably, calculating the electro-optical synergy correlation coefficient from the power change rate feature and the light intensity change rate feature in step S2 includes:

[0110] For each data point in the power change rate feature data, calculate the difference between it and the previous data point to obtain the power difference data;

[0111] For each data point in the light intensity change rate feature data, calculate the difference between it and the previous data point to obtain the light intensity difference data;

[0112] Align the difference components of the power difference data and the light intensity difference data to obtain the power-light intensity difference data;

[0113] For each difference value in the power-light intensity difference data, calculate the product value with the previous difference value, and sum all the product values to obtain the power-light intensity product sum;

[0114] For each difference value in the power-light intensity difference data, calculate the squared difference amount with the previous difference value, and sum all the squared difference amounts to obtain the power-light intensity squared difference sum;

[0115] Determine the electro-optical synergy correlation coefficient based on the power-light intensity product sum and the power-light intensity squared difference sum.

[0116] In the embodiments of the present invention, for each data point in the charge rate characteristic data (Charge_rate), the difference between it and the previous data point is calculated to obtain the charge difference data (Charge_diff). The specific operation is as follows: for the i-th data point Charge_rate[i] in the charge rate characteristic data, calculate the difference between it and the previous data point Charge_rate[i - 1], that is, Charge_diff[i] = Charge_rate[i] - Charge_rate[i - 1]. For each data point in the light intensity rate characteristic data (Light_rate), the difference between it and the previous data point is calculated to obtain the light intensity difference data (Light_diff). The specific operation is as follows: for the i-th data point Light_rate[i] in the light intensity rate characteristic data, calculate the difference between it and the previous data point Light_rate[i - 1], that is, Light_diff[i] = Light_rate[i] - Light_rate[i - 1]. The charge difference data (Charge_diff) and the light intensity difference data (Light_diff) are time-aligned to obtain the charge-light intensity difference data (Charge_Light_diff). The alignment operation is based on the synchrony of the time series to ensure that each data point corresponds to the same timestamp. For each difference value in the charge-light intensity difference data (Charge_Light_diff), calculate the product value of it and the previous difference value, and sum all the product values to obtain the charge-light intensity product sum (Product_sum). The specific operation is as follows: for the i-th data point Charge_Light_diff[i] in the charge-light intensity difference data, calculate the product of it and the previous data point Charge_Light_diff[i - 1], that is, Product[i] = Charge_Light_diff[i] × Charge_Light_diff[i - 1], and then sum all the product values, Product_sum = Σ(Product[i]). For each difference value in the charge-light intensity difference data (Charge_Light_diff), calculate the square of the difference between it and the previous difference value, and sum all the squared difference values to obtain the charge-light intensity squared difference sum (Diff_square_sum).The specific operation is as follows: For the i-th data point Charge_Light_diff[i] in the charge-light intensity differential data, calculate the square of the difference between it and the previous data point Charge_Light_diff[i - 1], that is, Diff_square[i] = (Charge_Light_diff[i] - Charge_Light_diff[i - 1])², and then sum all the squared difference quantities, Diff_square_sum = Σ(Diff_square[i]). Based on the charge-light intensity product sum (Product_sum) and the charge-light intensity squared difference sum (Diff_square_sum), calculate the electro-optical synergy correlation coefficient (Corr_EL). The specific operation is as follows: The electro-optical synergy correlation coefficient can be calculated by the following formula, Corr_EL = Product_sum / Diff_square_sum.

[0117] Preferably, calculating the electro-thermal synergy correlation coefficient from the charge change rate feature and the temperature state feature in step S2 includes:

[0118] Perform segmented processing on the charge change rate feature, and divide the charge change rate feature into a charge change rate during charging and a charge change rate during discharging;

[0119] Perform segmented processing on the temperature state feature, and divide the temperature state feature into a constant temperature operation state and an overheat operation state;

[0120] Align the charge change rate during charging with the constant temperature operation state, and calculate the electro-thermal difference value during constant temperature charging to obtain a constant temperature charging difference sequence;

[0121] Align the charge change rate during discharging with the overheat operation state, and calculate the electro-thermal value during overheat discharging to obtain an overheat discharging difference sequence;

[0122] Determine the electro-thermal synergy correlation coefficient based on the constant temperature charging difference sequence and the overheat discharging difference sequence.

[0123] In the embodiments of the present invention, the characteristic data of the power change rate is obtained by performing time series analysis on the standardized power data, representing the change rate of power over time; traverse the sequence of the characteristic data of the power change rate, and for each data point Charge_rate[i], judge the positive or negative of its value: if Charge_rate[i]>0, it means the power is increasing, and this data point is classified into the power charging change rate sequence (Charge_rate_charge). If Charge_rate[i]<0, it means the power is decreasing, and this data point is classified into the power discharging change rate sequence (Charge_rate_discharge). In this way, the characteristic data of the power change rate is completely divided into two independent sequences of charging and discharging. The characteristic data of the temperature state is obtained by discretizing the ambient temperature data, representing the state of the temperature. It is assumed that the characteristic data of the temperature state has been discretized into three states: low temperature (0), medium temperature (1), and high temperature (2). Traverse the sequence of the characteristic data of the temperature state, and for each data point T_state[i]: if T_state[i]=1 (medium temperature state), then this data point is classified into the constant temperature operation state sequence (T_state_constant). If T_state[i]=2 (high temperature state), then this data point is classified into the overheat operation state sequence (T_state_overheat). In this way, the characteristic data of the temperature state is completely divided into two independent sequences of constant temperature and overheat. Perform time alignment on the power charging change rate sequence (Charge_rate_charge) and the constant temperature operation state sequence (T_state_constant) to ensure that their timestamps are consistent. Traverse the aligned sequence, and for each time point i, calculate the difference between the power charging change rate and the corresponding temperature state: Diff_charge_constant[i]=Charge_rate_charge[i]-T_state_constant[i]. Perform time alignment on the power discharging change rate sequence (Charge_rate_discharge) and the overheat operation state sequence (T_state_overheat) to ensure that their timestamps are consistent. Traverse the aligned sequence, and for each time point i, calculate the difference between the power discharging change rate and the corresponding temperature state: Diff_discharge_overheat[i]=Charge_rate_discharge[i]-T_state_overheat[i].Calculate the mean (Mean_charge_constant, Mean_discharge_overheat) and standard deviation (Std_charge_constant, Std_discharge_overheat) of the constant-temperature charging difference sequence (Diff_charge_constant) and the overheat discharging difference sequence (Diff_discharge_overheat) respectively. Traverse the two sequences. For each time point i, calculate the product of the differences: Product[i] = (Diff_charge_constant[i] - Mean_charge_constant) × (Diff_discharge_overheat[i] - Mean_discharge_overheat). Sum all the product values and divide by the sequence length minus 1 to obtain the covariance: Cov_charge_temp = Σ(Product[i]) / (N - 1), where N is the sequence length. Calculate the correlation coefficient according to the covariance and the standard deviation: Corr_ET = Cov_charge_temp / (Std_charge_constant × Std_discharge_overheat).

[0124] Preferably, in step S3, the illumination range of the LED lighting emergency integrated lamp is controlled by a sine-cosine wave according to the electro-optical collaborative correlation coefficient, and adjusting the light intensity distribution includes:

[0125] Divide the illumination range of the LED lighting emergency integrated lamp into multiple illumination areas according to the magnitude of the electro-optical collaborative correlation coefficient, and each illumination area corresponds to a specific sine-cosine wave control signal;

[0126] For each illumination area, generate a regional sine-cosine wave control signal according to the electro-optical collaborative correlation coefficient, where the frequency and amplitude of the regional sine-cosine wave control signal are determined according to the positive or negative of the electro-optical collaborative correlation coefficient;

[0127] Adjust the reflector angle of the LED lamp group through the regional sine-cosine wave control signal, and control the rotation speed direction of the micro-motor corresponding to the reflector;

[0128] In each illumination area, the control signal for the rotation speed direction of the micro-motor drive adopts a sine-cosine waveform control, with a frequency range of 0.1 Hz to 10 Hz and an amplitude range of 0.1 V to 5 V;

[0129] Determine the light intensity level of the LED lamp group for each illumination area, and identify the number of LED light-emitting lamp beads corresponding to the light intensity level of the LED lamp group;

[0130] Adjust the on-off situation of the number of LED light-emitting lamp beads through the regional sine-cosine wave control signal.

[0131] In the embodiments of the present invention, according to the numerical range of the electro-optical collaborative correlation coefficient (Corr_EL), it is divided into several intervals. For example, Corr_EL is divided into three intervals: [-1, -0.5], (-0.5, 0.5), [0.5, 1], corresponding to three irradiation regions: Region 1, Region 2, and Region 3 respectively. Each irradiation region corresponds to a specific sine-cosine wave control signal for adjusting the lighting effect of that region. If the electro-optical collaborative correlation coefficient is positive (Corr_EL > 0), the frequency of the region sine-cosine wave control signal is set to a higher value (e.g., 5 Hz to 10 Hz), and the amplitude is set to a higher value (e.g., 3 V to 5 V). If the electro-optical collaborative correlation coefficient is negative (Corr_EL < 0), the frequency of the region sine-cosine wave control signal is set to a lower value (e.g., 0.1 Hz to 2 Hz), and the amplitude is set to a lower value (e.g., 0.1 V to 1 V). If the electro-optical collaborative correlation coefficient is close to zero (-0.5 < Corr_EL < 0.5), the frequency and amplitude of the region sine-cosine wave control signal are set to intermediate values (e.g., 2 Hz to 5 Hz, amplitude 1 V to 3 V). For each irradiation region, the control signal for the rotational speed direction of the micro motor drive adopts a sine-cosine waveform control. The frequency range of the sine-cosine wave control signal is 0.1 Hz to 10 Hz, and the amplitude range is 0.1 V to 5 V. The region sine-cosine wave control signal is used to generate a corresponding drive signal through PWM (pulse width modulation) technology and input into the micro motor driver to control the rotational speed and direction of the micro motor. The rotational speed and direction of the micro motor determine the angular change of the reflector, thereby realizing the dynamic adjustment of the irradiation range. According to the magnitude of the electro-optical collaborative correlation coefficient (Corr_EL), the light intensity is divided into multiple levels. For example, the light intensity is divided into three levels: low light intensity (Corr_EL < -0.5), medium light intensity (-0.5 ≤ Corr_EL ≤ 0.5), high light intensity (Corr_EL > 0.5). Each light intensity level corresponds to a different number of LED light-emitting beads. For example, low light intensity corresponds to turning on 1 / 3 of the LED beads, medium light intensity corresponds to turning on 2 / 3 of the LED beads, and high light intensity corresponds to turning on all the LED beads. The amplitude of the region sine-cosine wave control signal is compared with the threshold value corresponding to the light intensity level. According to the comparison result, the on-off state of the LED beads is controlled through the I / O interface of the microcontroller to realize the dynamic adjustment of the light intensity. For example, when the amplitude of the region sine-cosine wave control signal is greater than the high light intensity threshold, all the LED beads are turned on; when the amplitude is less than the low light intensity threshold, only 1 / 3 of the LED beads are turned on.

[0132] Especially importantly, adjusting the on-off situation of the number of LED light-emitting beads through the region sine-cosine wave control signal includes:

[0133] Identify the arrangement characteristics of the light-emitting lamp beads of the LED lighting emergency integrated lamp, and divide the arrangement characteristics of the light-emitting lamp beads into a linear arrangement mode, a dot matrix arrangement mode, and a curved surface arrangement mode;

[0134] For the linear arrangement mode, set the frequency of the regional sinusoidal and cosinusoidal wave control signal to 50 Hz, and the amplitude range to 0.1 V to 5 V;

[0135] For the dot matrix arrangement mode, set the frequency of the regional sinusoidal and cosinusoidal wave control signal to 60 Hz, and the amplitude range to 0.2 V to 4 V;

[0136] For the curved surface arrangement mode, set the frequency of the regional sinusoidal and cosinusoidal wave control signal to 55 Hz, and the amplitude range to 0.3 V to 3 V.

[0137] In the embodiments of the present invention, a high-resolution camera or an infrared sensor array is used to scan the LED lamp group to obtain the distribution image or position data of the lamp beads. The arrangement pattern of the lamp beads is analyzed through image processing algorithms (such as edge detection and feature extraction), and three arrangement methods, namely linear arrangement, dot matrix arrangement, and curved surface arrangement, are identified. The recognition result is stored as arrangement feature data (Arrangement_feature) for subsequent control signal adjustment. For the LED lamp beads in the linear arrangement, the frequency of the regional sine-cosine wave control signal is set to 50 Hz, and the amplitude range is set to 0.1 V to 5 V. The specific implementation method is as follows: a PWM signal with a frequency of 50 Hz is generated through the timer module of a microcontroller (such as STM32). The duty cycle of the PWM signal is adjusted so that its amplitude varies between 0.1 V and 5 V. For example, by adjusting the duty cycle from 2% to 100%, the dynamic adjustment of the amplitude is achieved. For the LED lamp beads in the dot matrix arrangement, the frequency of the regional sine-cosine wave control signal is set to 60 Hz, and the amplitude range is set to 0.2 V to 4 V. The specific implementation method is as follows: a PWM signal with a frequency of 60 Hz is generated through the timer module of the microcontroller. The duty cycle of the PWM signal is adjusted so that its amplitude varies between 0.2 V and 4 V. For example, by adjusting the duty cycle from 4% to 80%, the dynamic adjustment of the amplitude is achieved. For the LED lamp beads in the curved surface arrangement, the frequency of the regional sine-cosine wave control signal is set to 55 Hz, and the amplitude range is set to 0.3 V to 3 V. The specific implementation method is as follows: a PWM signal with a frequency of 55 Hz is generated through the timer module of the microcontroller. The duty cycle of the PWM signal is adjusted so that its amplitude varies between 0.3 V and 3 V. For example, by adjusting the duty cycle from 6% to 60%, the dynamic adjustment of the amplitude is achieved. The generated PWM signal is output to the LED driving circuit through the I / O interface of the microcontroller. The LED driving circuit adjusts the brightness and blinking frequency of the lamp beads according to the received PWM signal to achieve the dynamic control of the lighting effect. For the lamp beads with different arrangement methods, the corresponding control signal parameters are applied respectively to ensure that the brightness and blinking frequency of each lamp bead meet the preset requirements.

[0138] Preferably, in step S3, power tangent wave control is performed on the LED lighting emergency integrated lamp according to the electro-thermal cooperation correlation coefficient, and adjusting the power output includes:

[0139] The power output of the LED lighting emergency integrated lamp is divided into multiple power intervals according to the value of the electro-thermal cooperation correlation coefficient, and each power interval corresponds to a specific tangent wave control signal;

[0140] For each power interval, an interval tangent wave control signal is generated according to the electro-thermal cooperation correlation coefficient, wherein the rising edge slope and the falling edge slope of the interval tangent wave control signal are determined according to the positive and negative of the electro-thermal cooperation correlation coefficient;

[0141] For each power interval, adjust the power output of the LED lamp group according to the interval tangent wave control signal, and adjust the power output by changing the driving current of the LED lamp group;

[0142] In each power interval, set the adjustment range of the driving current to 0.1 A to 2 A, where the specific driving current is determined according to the slopes of the rising edge and falling edge of the tangent wave control signal.

[0143] In the embodiments of the present invention, a microcontroller (such as STM32) is used to read the value of the electric temperature collaboration correlation coefficient (Corr_ET), and the power output of the integrated LED lighting emergency lamp is divided into multiple power intervals according to its magnitude. Each power interval corresponds to a specific tangent wave control signal. Interval 1: When the electric temperature collaboration correlation coefficient (Corr_ET) is less than -0.5, it is defined as a low power interval. Interval 2: When the electric temperature collaboration correlation coefficient (Corr_ET) is between -0.5 and 0.5, it is defined as a medium power interval. Interval 3: When the electric temperature collaboration correlation coefficient (Corr_ET) is greater than 0.5, it is defined as a high power interval. For each power interval, a corresponding tangent wave control signal is generated according to the electric temperature collaboration correlation coefficient (Corr_ET). The slopes of the rising edge and falling edge of the tangent wave control signal are determined according to the positive or negative of the electric temperature collaboration correlation coefficient.

[0144] Interval 1 (low power interval):

[0145] Rising edge slope: Set to a gentle slope, and the microcontroller adjusts the rising speed of the tangent wave signal to be slow.

[0146] Falling edge slope: Set to a steep slope, and the microcontroller adjusts the falling speed of the tangent wave signal to be fast.

[0147] Interval 2 (medium power interval):

[0148] Rising edge slope: Set to a medium slope, and the microcontroller adjusts the rising speed of the tangent wave signal to be moderate.

[0149] Falling edge slope: Set to a medium slope, and the microcontroller adjusts the falling speed of the tangent wave signal to be moderate.

[0150] Interval 3 (high power interval):

[0151] Rising edge slope: Set to a steep slope, and the microcontroller adjusts the rising speed of the tangent wave signal to be fast.

[0152] Falling edge slope: Set to a gentle slope, and the microcontroller adjusts the falling speed of the tangent wave signal to be slow.

[0153] Adjust the power output of the LED lamp group according to the generated tangent wave control signal. Adjust the power output by changing the drive current of the LED lamp group.

[0154] Interval 1 (low power interval): According to the gentle rising edge slope and steep falling edge slope of the tangent wave signal, adjust the drive current to vary between 0.1 A and 1 A.

[0155] Interval 2 (medium power interval): According to the medium rising edge slope and medium falling edge slope of the tangent wave signal, adjust the drive current to vary between 0.5 A and 1.5 A.

[0156] Interval 3 (high power interval): According to the steep rising edge slope and gentle falling edge slope of the tangent wave signal, adjust the drive current to vary between 1 A and 2 A.

[0157] Generate a tangent wave control signal through the microcontroller and output it to the drive circuit of the LED lamp group to adjust the drive current. Tangent wave signal generation: The timer module of the microcontroller generates a corresponding tangent wave signal according to the interval of the electro-temperature correlation coefficient (Corr_ET). By adjusting the parameters of the timer, the rising edge and falling edge slopes of the tangent wave signal are set. Drive current regulation: Output the generated tangent wave signal to the LED drive circuit through the I / O interface of the microcontroller. The LED drive circuit dynamically adjusts the drive current of the LED lamp group according to the received tangent wave signal. Power output adjustment: By changing the magnitude of the drive current, the power output of the LED lamp group changes accordingly. Within each power interval, the change range of the drive current is strictly controlled within the set range to ensure that the power output meets the preset requirements.

[0158] Preferably, in step S4, determining the lighting response mode according to the illumination range control signal and the power control signal, and dividing the lighting response mode into an energy-saving response mode and an emergency response mode includes:

[0159] Parametrize the illumination range control signal and the power control signal, and perform weighted summation according to the weight ratio of 0.6:0.4 to obtain the control signal coordination coefficient;

[0160] Numericalize the control signal coordination coefficient and determine the lighting response mode; when the control signal coordination coefficient is less than 0.3, it is determined as the energy-saving response mode; when the control signal coordination coefficient is greater than or equal to 0.3, it is determined as the emergency response mode.

[0161] In the embodiments of the present invention, the irradiation range control signal (Lighting_Control_Signal) and the power control signal (Power_Control_Signal) are subjected to signal parameterization processing. The specific operations are as follows: Use a microcontroller (such as STM32) to read the values of the irradiation range control signal and the power control signal, and convert them into standardized digital signals; perform quantization processing on the two control signals respectively to ensure that their numerical ranges are between 0 and 1. The irradiation range control signal and the power control signal are weighted and summed according to a weight ratio of 0.6:0.4 to obtain the control signal cooperation coefficient (Combined_Control_Coefficient). A weight of 0.6 is assigned to the irradiation range control signal (Lighting_Control_Signal), and a weight of 0.4 is assigned to the power control signal (Power_Control_Signal). The weighted sum is calculated by the microcontroller: Combined_Control_Coefficient = 0.6 × Lighting_Control_Signal + 0.4 × Power_Control_Signal. Numerically process the control signal cooperation coefficient, and determine the lighting response mode according to its value; Numerically process the calculated control signal cooperation coefficient (Combined_Control_Coefficient) to ensure that it is a specific value; According to the numerical range of the control signal cooperation coefficient, determine the lighting response mode: When the control signal cooperation coefficient is less than 0.3, it is determined as the energy-saving response mode (Energy_Saving_Mode). When the control signal cooperation coefficient is greater than or equal to 0.3, it is determined as the emergency response mode (Emergency_Mode).

[0162] Preferably, in step S4, the LED lighting emergency integrated lamp is switched between modes based on the lighting response mode. When in the energy-saving response mode, reducing the current and voltage output amounts includes:

[0163] In the energy-saving response mode, the voltage is reduced to 80% of the rated value and maintained for 1 minute; then it is further reduced to 70% of the rated value; the current is reduced to 70% of the rated value and maintained for 1 minute; then it is further reduced to 60% of the rated value;

[0164] During each reduction process of the voltage and current, the actual current and voltage of the LED lamp group are monitored through a current feedback circuit;

[0165] The operating temperature of the LED lamp group in the energy-saving response mode is monitored through a temperature sensor, and the operating temperature of the LED lamp group is controlled within a preset temperature range.

[0166] In the embodiments of the present invention, a microcontroller (such as STM32) is used to control the LED driving circuit to reduce the voltage to 80% of the rated value and maintain this state for 1 minute. During this process, the current feedback circuit is used to monitor the actual current and voltage of the LED lamp group in real time to ensure that they are within the set range. Subsequently, the voltage is further reduced to 70% of the rated value. At the same time, the current is reduced to 70% of the rated value and maintained for 1 minute. During this stage, the actual current and voltage are continuously monitored through the current feedback circuit. Finally, the current is further reduced to 60% of the rated value. During the entire energy-saving response mode, the operating temperature of the LED lamp group is continuously monitored through a temperature sensor. The temperature sensor transmits the collected temperature data to the microcontroller, and the microcontroller controls the operating temperature of the LED lamp group according to the preset temperature range (such as 25°C to 40°C). If the monitored temperature exceeds the preset range, the microcontroller will control the temperature within the preset range by adjusting the driving current of the LED lamp group or temporarily pausing the further current reduction operation.

[0167] This specification also provides a control system for an integrated LED lighting emergency lamp, which is used to execute the control method of the integrated LED lighting emergency lamp as described above. The control system of the integrated LED lighting emergency lamp includes:

[0168] An LED lighting information acquisition module, which is used to acquire the battery power information of the integrated LED lighting emergency lamp, normalize the battery power information to obtain standardized power data; acquire the ambient light intensity, filter the light intensity data to obtain smooth light intensity data; acquire the ambient temperature data, and discretize the ambient temperature data to obtain temperature state characteristics;

[0169] A collaborative coefficient calculation module, which is used to perform time series analysis on the standardized power data to generate a power change rate characteristic; perform differential processing on the smooth light intensity data to generate a light intensity change rate characteristic; calculate the electro-optical collaborative correlation coefficient from the power change rate characteristic and the light intensity change rate characteristic; calculate the electro-temperature collaborative correlation coefficient from the power change rate characteristic and the temperature state characteristic;

[0170] A control signal generation module, which is used to perform sine-cosine wave control on the irradiation range of the integrated LED lighting emergency lamp according to the electro-optical collaborative correlation coefficient and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the integrated LED lighting emergency lamp according to the electro-temperature collaborative correlation coefficient and adjust the power output to generate a power control signal;

[0171] The LED lighting control module is used to determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; based on the lighting response mode, perform mode switching on the LED lighting emergency integrated lamp. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

[0172] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to encompass all changes falling within the meaning and scope of the equivalent elements of the application document within the present invention.

[0173] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features invented herein.

Claims

1. A control method for an integrated LED lighting emergency lamp, characterized in that, Including the following steps: Step S1: Collect the battery power information of the LED lighting emergency integrated lamp, normalize the battery power information, and obtain the standardized power data; Collect the ambient light intensity, filter the light intensity data to obtain the smoothed light intensity data; collect the ambient temperature data, discretize the ambient temperature data to obtain the temperature state characteristics; Step S2: Conduct time series analysis on the standardized power data to generate the power change rate characteristics; Differentiate the smoothed light intensity data to generate the light intensity change rate characteristics; calculate the electro-optical collaborative correlation coefficient by combining the power change rate characteristics and the light intensity change rate characteristics; calculate the electro-temperature collaborative correlation coefficient by combining the power change rate characteristics and the temperature state characteristics; Step S3: Perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical collaborative correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-temperature collaborative correlation coefficient, and adjust the power output to generate a power control signal; Step S4: Determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode. When in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

2. The control method for an integrated LED lighting emergency lamp according to claim 1, characterized in that, The time series analysis of the standardized power data in Step S2 includes: Mark the characteristics of the lamp emitting group, battery unit group, and light control unit group of the LED lighting emergency integrated lamp to obtain the lamp emitting characteristics, battery unit characteristics, and light control unit characteristics; Divide the standardized power data according to the lamp emitting characteristics, battery unit characteristics, and light control unit characteristics to obtain the lamp emitting power segment, battery unit power segment, and light control unit power segment; In the lamp emitting power segment, calculate the lamp power change value in units of 5 seconds; in the battery unit power segment, calculate the battery power change value in units of 10 seconds; in the light control unit power segment, calculate the light control power change value in units of 15 seconds; Accumulate the lamp power change value, battery power change value, and light control power change value, and divide by the total time of the three power segments to generate the power change rate characteristics.

3. The control method for an integrated LED lighting emergency lamp according to claim 1, characterized in that, The differentiation process of the smoothed light intensity data in Step S2 includes: Arrange the smoothed light intensity data in the order of light intensity collection time to form a light intensity time series; For each data point in the light intensity time series, calculate its difference from the previous data point to obtain the light intensity difference series; Normalize each difference value in the light intensity difference series so that its range is between [-1, 1]; perform a moving window average process on the normalized difference series, and the window size is 3; Perform a second-order difference process on the difference series after the moving window average process to obtain the light intensity second-order difference series; Take the absolute value of each difference value in the second-order difference series to obtain the light intensity absolute difference series; Perform weighted summation on each difference value in the absolute difference sequence to generate a light intensity change rate feature.

4. The control method for an integrated LED lighting emergency lamp according to claim 1, characterized in that, The calculation of the electro-optical synergy correlation coefficient from the power change rate feature and the light intensity change rate feature in step S2 includes: For each data point in the power change rate feature data, calculate the difference between it and the previous data point to obtain power difference data; For each data point in the light intensity change rate feature data, calculate the difference between it and the previous data point to obtain light intensity difference data; Align the difference components of the power difference data and the light intensity difference data to obtain power-light intensity difference data; For each difference value in the power-light intensity difference data, calculate the product value with the previous difference value, and sum all the product values to obtain the power-light intensity product sum; For each difference value in the power-light intensity difference data, calculate the squared difference amount with the previous difference value, and sum all the squared difference amounts to obtain the power-light intensity squared difference sum; Determine the electro-optical synergy correlation coefficient based on the power-light intensity product sum and the power-light intensity squared difference sum.

5. The control method for an integrated LED lighting emergency lamp according to claim 1, characterized in that, The calculation of the electro-thermal synergy correlation coefficient from the power change rate feature and the temperature state feature in step S2 includes: Perform segmented processing on the power change rate feature, and divide the power change rate feature into a power charging change rate and a power discharging change rate; Perform segmented processing on the temperature state feature, and divide the temperature state feature into a constant temperature operation state and an overheat operation state; Align the power charging change rate with the constant temperature operation state, and calculate the electro-thermal difference value of constant temperature charging to obtain a constant temperature charging difference sequence; Align the power discharging change rate with the overheat operation state, and calculate the electro-thermal value of overheat discharging to obtain an overheat discharging difference sequence; Determine the electro-thermal synergy correlation coefficient based on the constant temperature charging difference sequence and the overheat discharging difference sequence.

6. The control method of the integrated LED lighting emergency lamp according to claim 1, characterized in that In step S3, perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical synergy correlation coefficient, and adjust the light intensity distribution, including: Divide the irradiation range of the LED lighting emergency integrated lamp into multiple irradiation areas according to the magnitude of the electro-optical synergy correlation coefficient, and each irradiation area corresponds to a specific sine-cosine wave control signal; For each irradiation area, generate a regional sine-cosine wave control signal according to the electro-optical synergy correlation coefficient, where the frequency and amplitude of the regional sine-cosine wave control signal are determined according to the positive or negative of the electro-optical synergy correlation coefficient; Adjust the reflector angle of the LED lamp group through the regional sine-cosine wave control signal, and control the rotation speed direction of the micro motor corresponding to the reflector; In each irradiation area, the control signal for the rotation speed direction of the micro motor drive adopts sine-cosine waveform control, with a frequency range of 0.1 Hz to 10 Hz and an amplitude range of 0.1 V to 5 V; Determine the light intensity level of the LED lamp group for each irradiation area, and identify the number of LED light-emitting beads corresponding to the light intensity level of the LED lamp group; Adjust the on-off situation of the number of LED light-emitting beads through the regional sine-cosine wave control signal.

7. The control method of the integrated LED lighting emergency lamp according to claim 1, characterized in that In step S3, perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-thermal synergy correlation coefficient, and adjust the power output, including: Divide the power output of the LED lighting emergency integrated lamp into multiple power intervals according to the value of the electro-thermal coordination correlation coefficient, and each power interval corresponds to a specific tangent wave control signal; For each power interval, generate an interval tangent wave control signal according to the electro-thermal coordination correlation coefficient, wherein the rising edge slope and falling edge slope of the interval tangent wave control signal are determined according to the positive and negative of the electro-thermal coordination correlation coefficient; For each power interval, adjust the power output of the LED lamp group according to the interval tangent wave control signal, and adjust the power output by changing the driving current of the LED lamp group; In each power interval, set the adjustment range of the driving current to 0.1A to 2A, and the specific driving current is determined according to the rising edge and falling edge slopes of the tangent wave control signal.

8. The control method of the integrated LED lighting emergency lamp according to claim 1, characterized in that In step S4, determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode, including: Parameterize the irradiation range control signal and the power control signal, and perform weighted summation according to the weight ratio of 0.6:0.4 to obtain the control signal coordination coefficient; Numericalize the control signal coordination coefficient and determine the lighting response mode; when the control signal coordination coefficient is less than 0.3, it is determined as the energy-saving response mode; when the control signal coordination coefficient is greater than or equal to 0.3, it is determined as the emergency response mode.

9. The control method of the integrated LED lighting emergency lamp according to claim 1, characterized in that In step S4, perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode. When in the energy-saving response mode, reduce the current and voltage output, including: In the energy-saving response mode, reduce the voltage to 80% of the rated value and keep it for 1 minute; then further reduce it to 70% of the rated value; reduce the current to 70% of the rated value and keep it for 1 minute; then further reduce it to 60% of the rated value; During each reduction process of the voltage and current, monitor the actual current and voltage of the LED lamp group through the current feedback circuit; Monitor the operating temperature of the LED lamp group in the energy-saving response mode through the temperature sensor, and control the operating temperature of the LED lamp group within a preset temperature range.

10. A control system of an integrated LED lighting emergency lamp, characterized in that Used to execute the control method of the LED lighting emergency integrated lamp as described in claim 1, and the control system of the LED lighting emergency integrated lamp includes: The LED lighting information acquisition module is used to acquire the battery power information of the LED lighting emergency integrated lamp, normalize the battery power information to obtain standardized power data; acquire the ambient light intensity, filter the light intensity data to obtain smooth light intensity data; acquire the ambient temperature data, and discretize the ambient temperature data to obtain the temperature state characteristics; The coordination coefficient calculation module is used to perform time series analysis on the standardized power data to generate a power change rate characteristic; perform differential processing on the smooth light intensity data to generate a light intensity change rate characteristic; calculate the electro-optical coordination correlation coefficient from the power change rate characteristic and the light intensity change rate characteristic; calculate the electro-thermal coordination correlation coefficient from the power change rate characteristic and the temperature state characteristic; A control signal generation module, which is used to perform sine-cosine wave control on the irradiation range of the LED lighting emergency integrated lamp according to the electro-optical cooperation correlation coefficient, and adjust the light intensity distribution to generate an irradiation range control signal; perform tangent wave control on the power of the LED lighting emergency integrated lamp according to the electro-temperature cooperation correlation coefficient, and adjust the power output to generate a power control signal; An LED lighting control module, which is used to determine the lighting response mode according to the irradiation range control signal and the power control signal, and divide the lighting response mode into an energy-saving response mode and an emergency response mode; perform mode switching on the LED lighting emergency integrated lamp based on the lighting response mode, and when in the energy-saving response mode, reduce the current and voltage output; when in the emergency response mode, adjust the current and voltage output waveforms of the drive circuit.

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