Thermal infrared detection power supply intelligent management and control system

Abstract

The invention relates to the technical field of thermal management, in particular to an intelligent management and control system for a thermal infrared detection power supply. The method comprises the following steps: a thermal infrared detection unit monitors an infrared radiation signal and temperature change of a target area in real time based on a multimode sensor module, and corrects an output signal in consideration of a material aging problem; the multi-mode power supply unit dynamically switches power supply modes to optimize energy consumption; the intelligent management and control unit designs and adjusts an alarm threshold value, a sampling frequency and a communication strategy based on a self-adaptive algorithm; and the processing storage unit compresses, encrypts and stores the thermal infrared detection data based on the data processing module. Infrared radiation signals and temperature changes of a target area are monitored in real time through the multi-mode sensor module, output signals are corrected through a linear temperature compensation algorithm and aging correction, and the long-term stability and data accuracy of the system are improved. By dynamically switching the power supply mode, the optimal power supply is automatically selected according to the load requirement, and the power supply voltage is adjusted, so that the optimization of the energy consumption is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal management, and more specifically, to an intelligent control system for the power supply of thermal infrared detection. Background Art

[0002] An intelligent control system for the power supply of thermal infrared detection is a comprehensive solution integrating thermal infrared detection technology and intelligent power management functions. It aims to achieve temperature detection by accurately monitoring the infrared radiation of the target object, and at the same time, uses advanced power electronics technology and automatic control algorithms to efficiently and stably supply and manage power to each module in the system. This system uses an embedded control system and necessary communication technologies, which can not only ensure that the thermal infrared detection equipment works in the optimal state, but also realize remote monitoring and data transmission.

[0003] In an existing intelligent control system for the power supply of thermal infrared detection, measurement errors often occur due to environmental changes and material aging; the single power supply mode results in a low battery life; the aging of the equipment is not taken seriously, and there is a possibility of false alarms and missed alarms; data management is not strict, and there is a possibility of data loss. Therefore, an intelligent control system for the power supply of thermal infrared detection is designed. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent control system for the power supply of thermal infrared detection, so as to solve the problems in the existing intelligent control system for the power supply of thermal infrared detection, that is, measurement errors often occur due to environmental changes and material aging; the single power supply mode results in a low battery life; the aging of the equipment is not taken seriously, and there is a possibility of false alarms and missed alarms; data management is not strict, and there is a possibility of data loss as mentioned in the above background art.

[0005] To achieve the above purpose, the present invention aims to provide an intelligent control system for the power supply of thermal infrared detection, including a thermal infrared detection unit, which based on a multi-mode sensor module, real-time monitors the infrared radiation signal and temperature change of the target area, and corrects the output signal considering the material aging problem;

[0006] A multi-mode power supply unit, which dynamically switches the power supply mode to optimize energy consumption;

[0007] An intelligent control unit, which based on an adaptive algorithm design, adjusts the alarm threshold, sampling frequency and communication strategy;

[0008] A processing and storage unit, which based on a data processing module, compresses, encrypts and stores the thermal infrared detection data.

[0009] As a further improvement of this technical solution, the multi-mode sensor module includes an infrared sensor array, a signal conditioning module, and an environmental compensation module;

[0010] Among them, the infrared sensor array is used to capture the infrared radiation emitted by the target area in real time;

[0011] The signal conditioning module is used to perform amplification and filtering preprocessing operations on the received signal;

[0012] The environmental compensation module corrects the environmental temperature difference through a temperature sensor and outputs a corrected signal.

[0013] As a further improvement of this technical solution, the specific process of correcting the environmental temperature difference through the temperature sensor and outputting a corrected signal is as follows:

[0014] Perform dynamic correction on the original voltage signal through a linear temperature compensation algorithm to obtain an initial electronic signal ;

[0015] Considering the material aging problem, correct the linear temperature compensation algorithm and output a corrected signal .

[0016] As a further improvement of this technical solution, the specific process of the dynamic switching power supply mode for optimizing energy consumption is as follows:

[0017] Determine the priority logic through a power selector;

[0018] Adjust the supply voltage according to the load current ; ;

[0019] Calculate the remaining power based on the Coulomb counting method .

[0020] As a further improvement of this technical solution, considering that the remaining power is affected by material aging and the static current loss of the self-discharge effect, resulting in the attenuation of the remaining power. Therefore, calculate the final remaining power through a corrected Coulomb counting method .

[0021] As a further improvement of this technical solution, the specific process of designing and adjusting the alarm threshold, sampling frequency, and communication strategy based on an adaptive algorithm is as follows:

[0022] Receive signals from the thermal infrared detection unit ;

[0023] Dynamically adjust the alarm threshold according to historical data and the aging coefficient ; ;

[0024] Based on the PID control algorithm, according to the temperature change rate Dynamically adjust the sampling frequency .

[0025] As a further improvement of this technical solution, the specific steps of dynamically adjusting the alarm threshold according to historical data and aging coefficient are as follows: The specific steps are as follows:

[0026] Set a reference alarm threshold when the system starts ;

[0027] Determine the temperature threshold attenuation coefficient according to the aging coefficient ; ;

[0028] Based on the reference alarm threshold and the temperature threshold attenuation coefficient Obtain the alarm threshold .

[0029] As a further improvement of this technical solution, the specific steps of dynamically adjusting the sampling frequency based on the PID control algorithm according to the temperature change rate are as follows: The specific steps are as follows:

[0030] Calculate the temperature change rate of the target area in real time , as the input error signal of the PID controller;

[0031] Map the temperature change rate to the normalized error range ;

[0032] Calculate the sampling frequency through the proportional, integral, and differential links .

[0033] As a further improvement of this technical solution, the data processing module includes a data compression module, a data encryption module, and a storage management module;

[0034] Among them, the data compression module is used to efficiently compress the processed thermal infrared detection data;

[0035] The data encryption module is used to perform AES-256 encryption on the compressed data;

[0036] The storage management module is used to manage local storage resources and implement orderly writing and overwriting of data using a circular storage strategy.

[0037] As a further improvement of this technical solution, the specific steps of the circular storage strategy are as follows:

[0038] Divide the local storage medium into storage blocks of a fixed size ;

[0039] Write data in ascending order of address, and update the address pointer cyclically;

[0040] When the number of available blocks is less than 5% of the total number of blocks trigger the overwrite process, and select the earliest written non-protected block for overwriting;

[0041] When a block with CRC check failure is detected, automatically jump to the next available block .

[0042] Compared with the prior art, the beneficial effects of the present invention are:

[0043] 1. In the intelligent control system for the power supply of thermal infrared detection, the infrared radiation signal and temperature change of the target area are monitored in real time through the multi-mode sensor module, and the output signal is corrected by using the linear temperature compensation algorithm and aging correction, improving the long-term stability and data accuracy of the system. By dynamically switching the power supply mode, the optimal power supply is automatically selected according to the load demand, and the power supply voltage is adjusted, realizing the optimization of energy consumption.

[0044] 2. In the intelligent control system for the power supply of thermal infrared detection, based on the adaptive algorithm, the alarm threshold, sampling frequency and communication strategy can be dynamically adjusted to ensure that the system can operate efficiently in different environments. By compressing and encrypting the collected data, both storage space is saved and the security of the data is protected. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is the overall flow block diagram of the present invention;

[0046] The meanings of the various reference numerals in the figure are as follows:

[0047] 1. Thermal infrared detection unit; 11. Multi-mode sensor module; 111. Infrared sensor array; 112. Signal conditioning module; 113. Environmental compensation module; 2. Multi-mode power supply unit; 3. Intelligent control unit; 4. Processing and storage unit; 41. Data processing module; 411. Data compression module; 412. Data encryption module; 413. Storage management module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] Example: Please refer to Figure 1 As shown, a smart control system for the power supply of thermal infrared detection is provided, including a thermal infrared detection unit 1. The thermal infrared detection unit 1 monitors the infrared radiation signal and temperature change of the target area in real time based on the multi-mode sensor module 11, and corrects the output signal considering the material aging problem;

[0050] In this embodiment, the multi-mode sensor module 11 includes an infrared sensor array 111, a signal conditioning module 112, and an environmental compensation module 113;

[0051] Among them, the infrared sensor array 111 is used to capture the infrared radiation emitted by the target area in real time;

[0052] The signal conditioning module 112 is used to perform amplification and filtering preprocessing operations on the received signal;

[0053] The environmental compensation module 113 corrects the environmental temperature difference through a temperature sensor and outputs a corrected signal.

[0054] In this embodiment, the specific process of correcting the environmental temperature difference through a temperature sensor and outputting a corrected signal is as follows:

[0055] The original voltage signal is dynamically corrected through a linear temperature compensation algorithm to obtain an initial electronic signal ;

[0056] Specifically, the initial electronic signal is:

[0057] ;

[0058] In the formula, represents the linear temperature coefficient; represents the change in environmental temperature;

[0059] Considering the material aging problem, the linear temperature compensation algorithm is corrected to output a corrected signal .

[0060] Specifically, the corrected signal is:

[0061] ;

[0062] In the formula, represents the linear temperature coefficient changing with time; represents the time variable;

[0063] Among them, ;

[0064] In the formula, represents the initial linear temperature coefficient; represents the aging coefficient;

[0065] Among them, the aging coefficient , and its value is related to the material type (such as silicon-based sensors ≈0.001 / year, metal oxide sensors ≈0.003 / year);

[0066] Specifically, material aging refers to the microscopic deformation or fatigue cracks of the key materials of the sensor caused by temperature changes, which directly affect the accuracy, stability and life of the sensor.

[0067] Furthermore, by considering the material aging problem, the output signal is corrected to ensure the accuracy and reliability of the data. The infrared sensor array captures the infrared radiation emitted by the target area, the signal conditioning module performs preprocessing operations such as amplification and filtering on these original signals, and the environmental compensation module uses the temperature sensor data to dynamically correct the influence of the environmental temperature difference through the linear temperature compensation algorithm, and finally outputs the signal corrected by time aging. This design not only improves the measurement accuracy of the system, but also effectively compensates for the errors caused by material aging, enabling the entire system to maintain stability and efficiency during long-term operation, and is suitable for various application scenarios that require precise temperature monitoring, such as security, industrial inspection and environmental monitoring, etc. In addition, through accurate data acquisition and processing, the system can provide a reliable basis for subsequent power management optimization, further improving the energy efficiency ratio and intelligent level of the overall system.

[0068] The multi-mode power supply unit 2 dynamically switches the power supply mode to optimize the energy consumption;

[0069] In this embodiment, the specific process of dynamically switching the power supply mode to optimize the energy consumption is as follows:

[0070] Determine the priority logic through the power selector;

[0071] Specifically, the priority logic is: mains power > lithium battery (capacity C≥10,000 mAh) > solar energy (conversion efficiency η≥22%);

[0072] Adjust the supply voltage according to the load current ; ;

[0073] ;

[0074] In the formula, represents the system efficiency; represents the output power; represents the input power; represents the source current; represents the load voltage; represents the source voltage;

[0075] When the system is directly powered, then ;

[0076] When powered through a voltage regulator, then is the regulated load voltage ;

[0077] Calculate the remaining battery capacity based on coulomb counting method .

[0078] Specifically, the remaining battery capacity is:

[0079] ;

[0080] In the formula, represents the battery capacity percentage at the start; represents the time battery charge and discharge current at the moment; represents the rated capacity of the battery; represents the result of integrating the ratio of the battery charge and discharge current to the battery capacity from time 0 to time for calculating the change in state of charge due to charge and discharge during this period;

[0081] In this embodiment, considering that the remaining battery capacity is affected by material aging and the static current loss of the self-discharge effect, resulting in the attenuation of the remaining battery capacity, therefore, the final remaining battery capacity is calculated by correcting the coulomb counting method .

[0082] Specifically, considering the influence of material aging on the remaining battery capacity, the corrected remaining battery capacity is:

[0083] ;

[0084] In the formula, represents the actual battery capacity at time ;

[0085] Among them, ;

[0086] In the formula, represents the initial capacity; represents the capacity attenuation coefficient;

[0087] And introduce a self-discharge compensation term to optimize the corrected remaining battery capacity , and obtain the final remaining battery capacity ;

[0088] Specifically, the final remaining battery power is:

[0089] ;

[0090] In the formula, represents the self-discharge compensation term;

[0091] Among them, the self-discharge compensation term is:

[0092] ;

[0093] In the formula, represents the temperature-dependent self-discharge rate function;

[0094] Among them, is:

[0095] ;

[0096] In the formula, represents the reference temperature; represents the reference temperature at the initial self-discharge rate; represents the self-discharge temperature sensitivity coefficient;

[0097] Furthermore, first, the power selector determines the optimal power supply based on the priority logic (mains power > lithium battery > solar energy), and adjusts the supply voltage according to the load current to match the actual demand. The system efficiency is evaluated by calculating the ratio of the output power to the input power to ensure the high efficiency of the energy conversion process. At the same time, this unit adopts the coulomb counting method combined with the correction of the battery aging effect to accurately calculate the remaining battery power, taking into account the influence of the battery capacity decay over time and making corrections. This strategy not only improves the accuracy of battery management, extends the battery life, but also enhances the adaptability and reliability of the entire system under different working conditions, providing a stable and efficient power support environment for thermal infrared detection, and is applicable to application scenarios such as security monitoring, industrial detection, and environmental monitoring that require long-term continuous operation.

[0098] The intelligent control unit 3, and the intelligent control unit 3 adjusts the alarm threshold, sampling frequency, and communication strategy based on the adaptive algorithm design;

[0099] In this embodiment, the specific process of adjusting the alarm threshold, sampling frequency, and communication strategy based on the adaptive algorithm design is as follows:

[0100] Receive the signal from the thermal infrared detection unit 1 ;

[0101] Based on historical data and aging coefficient Dynamically adjust the alarm threshold ;

[0102] In this embodiment, based on historical data and aging coefficient Dynamically adjust the alarm threshold The specific steps are as follows:

[0103] Set the reference alarm threshold when the system starts ;

[0104] Determine the temperature threshold attenuation coefficient according to the aging coefficient ; ;

[0105] Specifically, the temperature threshold attenuation coefficient is:

[0106] ;

[0107] In the formula, represents the safety factor, and ;

[0108] When fully compensates for the aging effect;

[0109] Based on the reference alarm threshold and the temperature threshold attenuation coefficient obtain the alarm threshold .

[0110] Specifically, the alarm threshold is:

[0111] ;

[0112] In the formula, represents the initial temperature threshold; represents the temperature threshold attenuation coefficient;

[0113] The trigger condition is: ;

[0114] In the formula, represents the current temperature value;

[0115] Based on the PID control algorithm, dynamically adjust the sampling frequency according to the temperature change rate ; .

[0116] In this embodiment, based on the PID control algorithm, dynamically adjust the sampling frequency according to the temperature change rate ; The specific steps are as follows:

[0117] Calculate the temperature change rate of the target area in real time as the input error signal of the PID controller ;

[0118] Specifically, the temperature change rate of the target area is:

[0119] ;

[0120] In the formula, represents the current sampled temperature value; represents the previous sampled temperature value; represents the time interval between two adjacent samplings;

[0121] Map the temperature change rate to the normalized error range ;

[0122] Specifically, the error range is:

[0123] ;

[0124] In the formula, represents the maximum allowable temperature change rate of the system;

[0125] Calculate the sampling frequency through the proportional, integral, and derivative links .

[0126] Specifically, the sampling frequency is:

[0127] ;

[0128] In the formula, represents the proportional gain; represents the integral gain; represents the derivative gain.

[0129] Furthermore, by performing real-time analysis on the signals collected by the thermal infrared detection unit and dynamically adjusting the alarm threshold in combination with the degree of equipment aging, it is ensured that the alarm judgment is more accurate and reliable, avoiding false alarms or missed alarms caused by sensor performance degradation. At the same time, the sampling frequency is automatically adjusted according to the speed of temperature change using the control algorithm, reducing the system power consumption while ensuring data sensitivity. In addition, the communication strategy can be optimized to improve the system response speed and energy efficiency performance, enabling the entire system to have higher stability, self-adaptability, and intelligence level in complex environments.

[0130] Processing and storage unit 4, and processing and storage unit 4 compresses, encrypts, and stores the thermal infrared detection data based on data processing module 41.

[0131] In this embodiment, the data processing module 41 includes a data compression module 411, a data encryption module 412, and a storage management module 413;

[0132] Among them, the data compression module 411 is used to efficiently compress the processed thermal infrared detection data;

[0133] The data encryption module 412 is used to perform AES-256 encryption on the compressed data;

[0134] The storage management module 413 is used to manage local storage resources and adopts a cyclic storage strategy to achieve orderly writing and overwriting of data.

[0135] In this embodiment, the specific steps of the cyclic storage strategy are as follows:

[0136] Divide the local storage medium into storage blocks of a fixed size ;

[0137] Specifically, the storage block is:

[0138] ;

[0139] Write data in ascending order of addresses, and update the address pointer cyclically;

[0140] Specifically, the cyclic update of the address pointer is:

[0141] ;

[0142] In the formula, represents the position of the newly obtained address pointer; represents the position of the address pointer in the previous storage operation; represents the total number of blocks of the storage medium;

[0143] When the number of available blocks is lower than 5% of the total number of blocks, trigger the overwrite process and select the earliest written non-protected block for overwriting;

[0144] Specifically, when the number of available blocks is lower than the total number of blocks by 5%, trigger the overwrite process and select the earliest written non-protected block for overwriting as:

[0145] ;

[0146] When a block with a CRC check failure is detected, automatically jump to the next available block .

[0147] Specifically, the available block is:

[0148] ;

[0149] In the formula, represents the minimum valid block offset;

[0150] Furthermore, by compressing the thermal infrared detection data, the data volume is effectively reduced, and the transmission and storage efficiency are improved; the security of the data during transmission and storage is guaranteed through encryption to prevent the leakage of sensitive information; at the same time, a cyclic storage strategy is adopted to reasonably manage the local storage resources, ensuring that the system can operate continuously and stably under limited storage space. This unit not only improves the intelligent level of data processing, but also enhances the error resistance ability and long-term operation reliability of the system, and is applicable to application scenarios that require long-term continuous monitoring and data recording.

[0151] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A thermal infrared detection power supply intelligent management and control system, characterized by: It comprises a thermal infrared detection unit (1), wherein the thermal infrared detection unit (1) monitors the infrared radiation signal and temperature change of the target area in real time based on a multi-mode sensor module (11), and corrects the output signal in consideration of the material aging problem; A multi-mode power supply unit (2), wherein the multi-mode power supply unit (2) dynamically switches power supply modes to optimize energy consumption; An intelligent control unit (3), wherein the intelligent control unit (3) is designed to adjust the alarm threshold, sampling frequency and communication strategy based on an adaptive algorithm; A processing storage unit (4), wherein the processing storage unit (4) compresses, encrypts and stores the thermal infrared detection data based on the data processing module (41).

2. The thermal infrared detection power supply intelligent management and control system according to claim 1 is characterized in that: The multi-mode sensor module (11) comprises an infrared sensor array (111), a signal conditioning module (112) and an environmental compensation module (113); Wherein, the infrared sensor array (111) is used to capture infrared radiation emitted by the target area in real time; The signal conditioning module (112) is used to perform amplification and filtering preprocessing operations on the received signal; The environmental compensation module (113) corrects the environmental temperature difference through a temperature sensor and outputs a corrected signal.

3. The thermal infrared detection power supply intelligent management and control system according to claim 2 is characterized in that: The specific process of the temperature sensor correcting the ambient temperature difference and outputting the corrected signal is as follows: The original voltage signal is compensated by a linear temperature compensation algorithm. Perform dynamic correction to obtain the initial electronic signal ; Introducing the aging coefficient correction linear temperature compensation algorithm to output the corrected signal .

4. The thermal infrared detection power supply intelligent management and control system according to claim 1 is characterized in that: The specific process of dynamically switching the power supply mode to optimize energy consumption is as follows: Prioritization logic is determined by the power selector; According to the load current Adjusting the supply voltage ; Calculate remaining capacity based on Coulomb counting method .

5. The thermal infrared detection power supply intelligent management and control system according to claim 4 is characterized in that: Considering that the remaining power is affected by material aging and the static current loss caused by the self-discharge effect, the final remaining power is calculated using the modified coulomb counting method. .

6. The thermal infrared detection power supply intelligent management and control system according to claim 5 is characterized in that: The specific process of the adaptive algorithm design to adjust the alarm threshold, sampling frequency and communication strategy is as follows: Receives signals from the thermal infrared detection unit (1) ; Based on historical data and aging coefficient Dynamically adjust alarm thresholds ; Based on the PID control algorithm according to the temperature change rate Dynamically adjust sampling frequency .

7. The thermal infrared detection power supply intelligent management and control system according to claim 6 is characterized in that: Based on historical data and aging coefficient Dynamically adjust alarm thresholds The specific steps are: Set baseline alarm thresholds at system startup ; According to the aging factor Determine the temperature threshold attenuation coefficient ; Based on baseline alarm thresholds and temperature threshold attenuation coefficient Get the alarm threshold .

8. The thermal infrared detection power supply intelligent management and control system according to claim 1 is characterized in that: The PID control algorithm is based on the temperature change rate Dynamically adjust sampling frequency The specific steps are: Calculate the temperature change rate of the target area in real time , as the input error signal of the PID controller; Mapping temperature change rate to normalized error range ; Calculate the sampling frequency through the three links of proportion, integration and differentiation .

9. The thermal infrared detection power supply intelligent management and control system according to claim 1 is characterized in that: The data processing module (41) comprises a data compression module (411), a data encryption module (412) and a storage management module (413); Wherein, the data compression module (411) is used to efficiently compress the processed thermal infrared detection data; The data encryption module (412) is used to perform AES-256 encryption on the compressed data; The storage management module (413) is used to manage local storage resources and adopts a circular storage strategy to achieve orderly writing and overwriting of data.

10. The thermal infrared detection power supply intelligent management and control system according to claim 9 is characterized in that: The specific steps of the cyclic storage strategy are: Divide local storage media into fixed-size storage blocks ; Data is written in ascending order of address, and the address pointer is updated cyclically; When the number of available blocks Less than total blocks When the number of protected blocks reaches 5%, the overwrite process is triggered and the earliest non-protected block is selected for overwriting. When a block with CRC check failure is detected, it automatically jumps to the next available block .

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