Refrigeration type medium-wave infrared thermal imaging system
By dynamically adjusting the synergy between cooling control and imaging output, the problems of high power consumption and imaging delay in cooled mid-wave infrared thermal imaging systems are solved, achieving efficient detection and imaging output.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-27
- Publication Date
- 2026-04-10
AI Technical Summary
In existing cooled mid-wave infrared thermal imaging systems, the cooling control is mismatched with the detector's operating state, resulting in high power consumption; poor coordination between signal processing and imaging output leads to imaging delay and resource waste.
Through the coordinated operation of the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module, optical parameters, cooling temperature, and imaging frequency are dynamically adjusted to achieve real-time matching of the detector and optimization of signal processing.
It achieves precise cooling on demand, reduces power consumption, reduces imaging latency, improves response speed and imaging stability, and enhances system synergy.
Smart Images
Figure CN121829773A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of infrared thermal imaging technology, in particular to a refrigeration type mid-wave infrared thermal imaging system. BACKGROUND
[0002] The mid-wave infrared band (2-5 μm) has the advantages of strong penetration of smoke and dust, good environmental adaptability, etc., and is widely used in security monitoring, industrial detection, aerospace, military reconnaissance and other fields. The refrigeration type mid-wave infrared thermal imaging system can effectively reduce the dark current noise of the detector by low-temperature refrigeration of the infrared detector, improve the detection sensitivity and imaging quality of the system, and is more suitable for low-illumination, long-distance, high-precision infrared detection scenes than the non-refrigeration type system.
[0003] With the increasing requirements of various application fields on infrared thermal imaging systems, higher demands are put forward for the imaging resolution, response speed, stability, miniaturization and low power consumption of the refrigeration type mid-wave infrared thermal imaging system. At present, the refrigeration type mid-wave infrared thermal imaging system has become the research focus in the field of infrared technology, and the core is to realize efficient acquisition, processing, refrigeration temperature control and imaging output of infrared signals through the cooperation of various functional modules. However, the existing system still has many shortcomings in module cooperation, unit linkage and performance optimization, which limits its further popularization and application, as follows:
[0004] 1. The refrigeration control and the working state of the detector do not match, the refrigeration efficiency is low and the power consumption is high: The temperature setting of the refrigeration control link is mostly a fixed value, which is not dynamically adjusted according to the real-time working load of the detector (such as signal acquisition frequency, output signal strength, etc.). For example, in the industrial detection scene, when detecting the static equipment for a long time, the working load of the detector is low, and the required refrigeration temperature does not need to be too low to meet the detection requirements, but the existing system still maintains the lowest refrigeration temperature, resulting in continuous high-load work of the refrigeration link, and the power consumption is greatly increased. When detecting the high-speed moving workpiece, the working load of the detector increases suddenly, and the fixed refrigeration temperature cannot reduce the dark current noise of the detector in time, resulting in blurred imaging and loss of details.
[0005] 2. Poor signal processing and imaging output coordination, high imaging delay: After the signal processing link completes the enhancement, correction and other processing of the signal, it is directly transmitted to the imaging output link. The imaging output link does not dynamically adjust the imaging refresh frequency in combination with the real-time progress and data volume of the signal processing. For example, in the aerospace reconnaissance scene, when the number of targets in the detection area increases, the processing data volume of the signal processing link increases suddenly, and the processing time is prolonged. However, the imaging output link still maintains a fixed high refresh frequency, which will cause some signals that have not been completed to be forced to output, resulting in imaging lag, ghosting and other problems. On the contrary, when there is no target in the detection area, the signal processing data volume is small, and the fixed low refresh frequency will cause resource waste and cannot quickly respond to sudden targets. SUMMARY
[0006] To solve the above technical problems of mismatching between refrigeration control and detector working state and poor signal processing and imaging output coordination, the present application provides the following technical solutions:
[0007] A refrigeration type middle wave infrared thermal imaging system, comprising:
[0008] An infrared signal acquisition module, which senses environmental parameters, dynamically adjusts optical parameters, acquires original middle wave infrared signals through a detector, and synchronously outputs environmental parameter and working state data;
[0009] A signal preprocessing module, which receives the original middle wave infrared signals output by the infrared signal acquisition module, and after buffering and feature extraction, dynamically reduces noise and enhances the signals in combination with their optical parameters, and outputs optimized signals;
[0010] A signal quality evaluation module, which receives the optimized signals output by the signal preprocessing module, extracts features and determines quality in combination with the environmental data output by the infrared signal acquisition module, and outputs corresponding results in combination with the determination results;
[0011] A refrigeration temperature control module, which, based on the determination results of the signal quality evaluation module, in combination with the environmental parameter and working state data output by the infrared signal acquisition module, analyzes the real-time working load of the infrared detector through a detection load sensing unit, and outputs the load analysis results. Based on the load analysis results, a refrigeration parameter calculation unit calculates the optimal refrigeration temperature and refrigeration power and outputs the refrigeration parameters. Finally, a precise refrigeration unit using a Stirling refrigerator starts refrigeration work based on the refrigeration parameters, while monitoring the actual temperature of the detector in real time and outputting the temperature data;
[0012] A core signal processing module, which receives the qualified optimized signals output by the signal quality evaluation module, decodes and extracts targets, corrects compression in combination with the refrigeration parameters of the refrigeration temperature control module, and outputs optimized image data;
[0013] An imaging output module receives the optimized image data output by the core signal processing module, matches output parameters, renders the image, and displays the image.
[0014] A system total control module collects data of the infrared signal acquisition module, the signal preprocessing module, the signal quality evaluation module, the refrigeration temperature control module, the core signal processing module, and the imaging output module, and issues control instructions after analysis.
[0015] As a preferred scheme of the refrigeration type mid-wave infrared thermal imaging system, the infrared signal acquisition module comprises:
[0016] An environment sensing unit collects external environment parameters in real time and outputs the environment parameters.
[0017] An optical adjustment unit dynamically adjusts optical parameters based on the environment parameters output by the environment sensing unit and outputs the adjusted optical parameters.
[0018] An infrared detection unit adopts a refrigeration type mid-wave infrared detector, sets a signal acquisition frequency and a detection sensitivity based on the optical parameters output by the optical adjustment unit, and outputs the collected original mid-wave infrared signals and its own working state data.
[0019] As a preferred scheme of the refrigeration type mid-wave infrared thermal imaging system, the signal preprocessing module comprises:
[0020] A signal buffering unit receives the original mid-wave infrared signals output by the infrared signal acquisition module, buffers and synchronously shapes the signals, and extracts and outputs the original signal basic features.
[0021] An adaptive noise reduction unit dynamically selects a noise reduction algorithm and adjusts a noise reduction parameter based on the original signal basic features output by the signal buffering unit and the optical parameters in the infrared signal acquisition module, and outputs the noise-reduced signals.
[0022] A signal enhancement unit performs contrast enhancement and edge sharpening processing on the signals based on the noise-reduced signals output by the adaptive noise reduction unit and the environment parameters output by the infrared signal acquisition module, and outputs the preprocessed optimized signals.
[0023] As a preferred scheme of the refrigeration type mid-wave infrared thermal imaging system, the signal quality evaluation module comprises:
[0024] A signal feature extraction unit receives the optimized signals output by the signal preprocessing module, synchronously acquires the environment parameters output by the infrared signal acquisition module, extracts key quality features of the signals, and outputs the extracted feature data and corresponding environment parameters.
[0025] The quality threshold determination unit compares the feature data output by the signal feature extraction unit with the corresponding environmental parameters based on preset signal quality thresholds under different environments; it also outputs the quality determination result and feature difference data.
[0026] If the quality threshold judgment unit outputs a qualified result, the feedback control unit transmits the preprocessed qualified optimization signal to the core signal processing module; if the judgment result is unqualified, the feature difference data is fed back to the system master control module.
[0027] As a preferred embodiment of the cooled mid-wave infrared thermal imaging system of the present invention, the core signal processing module includes:
[0028] The signal decoding unit receives the qualified optimized signal output by the signal quality assessment module, decodes and converts the signal, converting the analog signal into digital image data; and outputs the decoded digital image data.
[0029] The target extraction unit, based on the digital image data output by the signal decoding unit, uses a deep learning target detection algorithm to extract the target region in the image; simultaneously, it combines the environmental parameters output by the infrared signal acquisition module to perform preliminary screening of the extracted target region; and outputs the screened target image data.
[0030] The data optimization unit performs image correction and data compression processing on the target image data output by the target extraction unit; at the same time, it outputs the optimized image data.
[0031] As a preferred embodiment of the cooled mid-wave infrared thermal imaging system of the present invention, the imaging output module includes:
[0032] The output parameter matching unit receives the optimized image data output by the core signal processing module, combines it with the control commands issued by the system's central control module, matches the corresponding image output parameters, and outputs the matched output parameters.
[0033] The image rendering unit performs color mapping, grayscale adjustment, and detail rendering on the optimized image data based on the output parameters of the output parameter matching unit; at the same time, it outputs the rendered image data.
[0034] The display output unit uses a display screen and displays images in real time based on the image data output by the image rendering unit.
[0035] As a preferred embodiment of the cooled mid-wave infrared thermal imaging system of the present invention, the system control module includes:
[0036] The information aggregation unit receives data transmitted from the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module; it then classifies, aggregates, and standardizes the data; and simultaneously outputs the aggregated information.
[0037] The decision analysis unit, based on the aggregated information output by the information aggregation unit and combined with preset system performance indicators, analyzes whether the module's working state is optimal and adjusts the strategy accordingly; at the same time, it transforms the analysis results and adjustment strategies into specific control commands for output.
[0038] The instruction issuing unit sends the control instructions output by the decision analysis unit to the corresponding modules or units.
[0039] Compared with existing technologies:
[0040] This invention precisely solves the problems of mismatch between cooling control and detector operating status, as well as poor coordination between signal processing and imaging output. By dynamically matching the detector's real-time workload with the ambient temperature through a cooling temperature control module, it achieves precise cooling on demand. This avoids the high power consumption problem caused by a fixed cooling temperature and ensures that the detector is in an optimal low-temperature environment under different loads to guarantee detection performance. At the same time, through the system's internal linkage mechanism, the imaging output stage can dynamically adjust its operating parameters according to the real-time progress and data volume of signal processing. The signal processing stage can also receive feedback from the front end to optimize processing strategies, effectively reducing imaging delay and stuttering. While improving cooling efficiency and reducing power consumption, it significantly enhances the system's response speed and imaging stability, achieving highly efficient coordination between cooling, signal processing, and imaging output. Attached Figure Description
[0041] Figure 1 This is a schematic diagram of the overall framework of the present invention;
[0042] Figure 2 This is a schematic diagram of the infrared signal acquisition module framework of the present invention;
[0043] Figure 3 This is a schematic diagram of the signal preprocessing module framework of the present invention;
[0044] Figure 4 This is a schematic diagram of the signal quality assessment module framework of the present invention;
[0045] Figure 5 This is a schematic diagram of the cooling and temperature control module frame of the present invention;
[0046] Figure 6 This is a schematic diagram of the core signal processing module framework of the present invention;
[0047] Figure 7 This is a schematic diagram of the imaging output module framework of the present invention;
[0048] Figure 8 This is a schematic diagram of the overall control module framework of the present invention. Detailed Implementation
[0049] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
[0050] This invention provides a cooled mid-wave infrared thermal imaging system. Please refer to [link / reference]. Figure 1 ,include:
[0051] The infrared signal acquisition module senses environmental parameters, dynamically adjusts optical parameters, acquires raw mid-wave infrared signals through a detector, and simultaneously outputs environmental parameters and operating status data.
[0052] The signal preprocessing module receives the raw mid-wave infrared signal output by the infrared signal acquisition module, buffers and extracts features, and then dynamically reduces noise and enhances the signal based on its optical parameters to output an optimized signal.
[0053] The signal quality assessment module receives the optimized signal output by the signal preprocessing module, combines it with the environmental data output by the infrared signal acquisition module, extracts features, determines the quality, and outputs the corresponding results.
[0054] The cooling and temperature control module calculates cooling parameters based on the judgment results of the signal quality assessment module, combined with the environmental parameters and working status data output by the infrared signal acquisition module, in order to accurately control the temperature and monitor it in a closed loop.
[0055] The core signal processing module receives the qualified optimized signal output by the signal quality assessment module, decodes and extracts the target, and then combines the cooling parameters of the cooling temperature control module to correct and compress the signal before outputting optimized image data.
[0056] The imaging output module receives optimized image data from the core signal processing module, matches output parameters, renders the image, and displays it.
[0057] The system's central control module aggregates data from the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module, and then issues control commands after analysis.
[0058] Please see Figure 2 The infrared signal acquisition module includes:
[0059] The environmental sensing unit collects external environmental parameters in real time, including ambient temperature, humidity, light intensity and atmospheric transmittance, and outputs the environmental parameters.
[0060] The optical adjustment unit dynamically adjusts the optical parameters of the optical lens, such as focal length, aperture, and filter, based on the environmental parameters output by the environmental sensing unit. For example, when the environmental sensing unit detects a decrease in atmospheric transmittance (such as the presence of smoke), it automatically increases the aperture to increase the amount of infrared signal incident, and switches to an appropriate filter to filter out interference bands; and outputs the adjusted optical parameters.
[0061] The infrared detection unit uses a cooled mid-wave infrared detector. Based on the optical parameters output by the optical adjustment unit, the signal acquisition frequency and detection sensitivity are set. For example, when the optical adjustment unit increases the focal length for long-distance detection, the infrared detection unit automatically increases the detection sensitivity to compensate for the reduction in signal strength. It also outputs the acquired raw mid-wave infrared signal and its own operating status data.
[0062] Please see Figure 3 The signal preprocessing module includes:
[0063] The signal buffer unit receives the raw mid-wave infrared signal output from the infrared signal acquisition module, buffers and synchronously shapes the signal to avoid data loss due to signal transmission delay, and extracts the basic characteristics of the original signal (such as signal amplitude and frequency range) for output.
[0064] The adaptive noise reduction unit dynamically selects the noise reduction algorithm and adjusts the noise reduction parameters based on the basic characteristics of the original signal output from the signal buffer unit and the optical parameters in the infrared signal acquisition module. For example, when the original signal amplitude reported by the signal buffer unit is low (corresponding to long-distance detection scenarios), a low-impact wavelet threshold noise reduction algorithm is used, and the threshold is lowered to preserve weak signal details. When the signal amplitude is high and fluctuates greatly (corresponding to close-range strong light scenarios), an adaptive median filtering algorithm is used to enhance the suppression of impulse noise. At the same time, the noise-reduced signal is output.
[0065] The signal enhancement unit, based on the denoised signal output by the adaptive noise reduction unit and combined with the environmental parameters output by the infrared signal acquisition module, performs contrast enhancement and edge sharpening processing on the signal; for example, in low-light environments, the contrast enhancement coefficient is appropriately increased to ensure the distinction between the target and the background; at the same time, the pre-processed optimized signal is output.
[0066] Please see Figure 4 The signal quality assessment module includes:
[0067] The signal feature extraction unit receives the optimized signal output by the signal preprocessing module, simultaneously acquires the environmental parameters output by the infrared signal acquisition module, and extracts key quality features of the signal, including signal-to-noise ratio, signal amplitude stability, and target signal integrity; at the same time, it outputs the extracted feature data and the corresponding environmental parameters.
[0068] The quality threshold determination unit compares the feature data output by the signal feature extraction unit with the corresponding environmental parameters based on preset signal quality thresholds under different environments (the thresholds are dynamically adjusted according to environmental parameters). For example, in a smoke environment, the signal-to-noise ratio pass threshold is appropriately reduced while the target signal integrity threshold is increased to balance detection sensitivity and anti-interference capability. At the same time, the quality determination result (pass / fail) and feature difference data are output.
[0069] If the quality threshold judgment unit outputs a qualified result, the preprocessed qualified optimized signal is transmitted to the core signal processing module. If the judgment result is unqualified, the feature difference data is fed back to the system master control module, which then issues adjustment instructions to the infrared signal acquisition module (such as adjusting optical parameters) or the signal preprocessing module (such as optimizing noise reduction parameters). At the same time, the current signal is temporarily stored and will be received and evaluated again after the front-end module adjusts it.
[0070] Please see Figure 5 The refrigeration temperature control module includes:
[0071] The load sensing unit receives the operating status data (acquisition frequency, signal strength, etc.) output by the infrared signal acquisition module, and combines it with the qualified optimization signal output by the signal quality evaluation module to analyze the real-time workload of the infrared detector. For example, when the acquisition frequency is high and the signal strength fluctuates greatly, it is determined that the detector workload is high and the cooling temperature needs to be further reduced to suppress dark current noise. At the same time, the load analysis results are output.
[0072] The cooling parameter calculation unit calculates the optimal cooling temperature and cooling power based on the load analysis results of the detection load sensing unit and the environmental parameters output by the infrared signal acquisition module. For example, when the ambient temperature is low and the detector load is low, a higher optimal cooling temperature and a lower cooling power are calculated to reduce system power consumption; when the ambient temperature is high and the detector load is high, a lower optimal cooling temperature and a suitable cooling power are calculated to ensure the cooling effect. At the same time, the calculated cooling parameters are output.
[0073] The precision cooling unit uses a Stirling refrigerator. Based on the cooling parameters output by the cooling parameter calculation unit, it starts the cooling operation and monitors the actual temperature of the detector in real time. At the same time, it outputs the actual temperature data of the detector, forming a closed-loop control to ensure that the detector always operates in the optimal low-temperature environment.
[0074] Please see Figure 6 The core signal processing module includes:
[0075] The signal decoding unit receives the qualified optimized signal output by the signal quality assessment module, decodes and converts the signal, converting the analog signal into digital image data; and outputs the decoded digital image data.
[0076] The target extraction unit, based on the digital image data output by the signal decoding unit, uses a deep learning target detection algorithm to extract the target region in the image; at the same time, it combines the environmental parameters output by the infrared signal acquisition module to perform preliminary screening of the extracted target region, eliminating false targets formed by environmental interference (such as smoke and dust); and outputs the screened target image data.
[0077] The data optimization unit performs image correction (including non-uniformity correction and geometric correction) and data compression on the target image data output by the target extraction unit. The correction parameters are dynamically adjusted based on the actual detector temperature data fed back by the cooling temperature control module to ensure correction accuracy. The compression algorithm is selected according to the resolution requirements of the imaging output module (synchronously acquired through the system control module) to reduce the amount of data transmission while ensuring image quality. At the same time, the optimized image data is output.
[0078] Please see Figure 7 The imaging output module includes:
[0079] The output parameter matching unit receives optimized image data output by the core signal processing module, combines it with control commands issued by the system's overall control module (such as imaging requirements (resolution, refresh rate, etc.)), and matches the corresponding image output parameters. At the same time, it receives data volume and processing speed information fed back by the core signal processing module, dynamically adjusts the output parameters to avoid imaging lag, and outputs the matched output parameters.
[0080] The image rendering unit performs color mapping, grayscale adjustment, and detail rendering on the optimized image data based on the output parameters of the output parameter matching unit. During the rendering process, it combines the target area information output by the target extraction unit to highlight the target area and improve the target recognition. At the same time, it outputs the rendered image data.
[0081] The display output unit uses a high-resolution display screen and displays images in real time based on the image data output by the image rendering unit. At the same time, it feeds back display status data (such as display resolution, refresh rate, etc.) to the system control module.
[0082] Please see Figure 8 The system control module includes:
[0083] The information aggregation unit receives data (environmental parameters, operating status parameters, processing effect data, etc.) transmitted from the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module. It then classifies, aggregates, and standardizes the data to ensure data consistency and readability. Simultaneously, it outputs the aggregated information.
[0084] The decision analysis unit, based on the aggregated information output by the information aggregation unit and combined with preset system performance indicators (imaging quality threshold, power consumption threshold, response speed threshold, etc.), analyzes whether the module's working state is optimal and adjusts the strategy accordingly. For example, when a stuttering phenomenon is detected in the imaging output module, it is determined that the core signal processing module's processing speed is insufficient, and then an adjustment strategy is formulated (such as reducing the processing accuracy of non-critical areas). At the same time, the analysis results and adjustment strategies are converted into specific control commands for output.
[0085] The instruction issuing unit accurately issues the control instructions output by the decision analysis unit to the corresponding modules or units to achieve adaptive adjustment of the system. For example, it issues instructions to the core signal processing module to reduce the processing accuracy of non-critical areas and instructions to the imaging output module to temporarily reduce the refresh rate. At the same time, it receives feedback data after each module executes the instructions and transmits it to the information aggregation unit to form a complete closed-loop control.
[0086] The working process of the cooled mid-wave infrared thermal imaging system of the present invention is as follows:
[0087] S1: The environmental sensing unit of the infrared signal acquisition module collects external environmental parameters and transmits them to the optical adjustment unit; the optical adjustment unit adjusts the optical parameters based on the environmental parameters and transmits them to the infrared detection unit; the infrared detection unit collects the raw mid-wave infrared signal based on the optical parameters and transmits it to the signal preprocessing module, while simultaneously feeding back its own working status to the cooling and temperature control module.
[0088] S2: The signal buffer unit of the signal preprocessing module buffers and extracts features from the original signal and transmits it to the adaptive noise reduction unit; the adaptive noise reduction unit combines signal features and optical parameters to dynamically reduce noise and transmits it to the signal enhancement unit; the signal enhancement unit combines environmental parameters to enhance the signal and transmits it to the signal quality assessment module.
[0089] S3: The signal feature extraction unit of the signal quality assessment module extracts the quality features of the optimized signal and combines them with environmental parameters, then transmits them to the quality threshold judgment unit; the quality threshold judgment unit compares the threshold and outputs the judgment result; if qualified, it is transmitted to the core signal processing module; if unqualified, it is fed back to the system master control module through the feedback control unit, and the master control module instructs the front-end module to adjust and re-evaluate.
[0090] S4: The detection load sensing unit of the cooling temperature control module analyzes the load based on the detector's working status and noise reduction effect, and transmits it to the cooling parameter calculation unit; the cooling parameter calculation unit calculates the cooling parameters in combination with the ambient temperature, and transmits them to the precision cooling unit; the precision cooling unit cools the detector based on the cooling parameters, and feeds back the actual temperature to the detection load sensing unit, forming a closed-loop temperature control.
[0091] S5: The signal decoding unit of the core signal processing module decodes the qualified signals and transmits them to the target extraction unit; the target extraction unit extracts and filters the target area and transmits it to the data optimization unit; the data optimization unit performs image correction and compression in conjunction with the detector temperature and transmits it to the imaging output module.
[0092] S6: The output parameter matching unit of the imaging output module matches the output parameters based on the imaging requirements and processing speed, and transmits them to the image rendering unit; the image rendering unit renders the image and highlights the target, and transmits it to the display output unit; the display output unit displays the image and provides feedback on the status.
[0093] S7: The information aggregation unit of the system's overall control module aggregates data from each module and transmits it to the decision analysis unit. The decision analysis unit analyzes the working status and formulates adjustment strategies, and issues instructions to each module through the instruction issuing unit to achieve adaptive control.
[0094] Although the present invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the disclosed embodiments can be combined with each other in any manner. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. A cooled mid-wave infrared thermal imaging system, characterized in that, include: The infrared signal acquisition module senses environmental parameters, dynamically adjusts optical parameters, acquires raw mid-wave infrared signals through a detector, and simultaneously outputs environmental parameters and operating status data. The signal preprocessing module receives the raw mid-wave infrared signal output by the infrared signal acquisition module, buffers and extracts features, and then dynamically reduces noise and enhances the signal based on its optical parameters to output an optimized signal. The signal quality assessment module receives the optimized signal output by the signal preprocessing module, combines it with the environmental data output by the infrared signal acquisition module, extracts features, determines the quality, and outputs the corresponding results. The cooling and temperature control module, based on the judgment results of the signal quality assessment module, combined with the environmental parameters and working status data output by the infrared signal acquisition module, analyzes the real-time working load of the infrared detector through the detection load sensing unit and outputs the load analysis results. Then, the cooling parameter calculation unit calculates the optimal cooling temperature and cooling power based on the load analysis results and outputs the cooling parameters. Finally, the precise cooling unit using a Stirling refrigerator starts the cooling operation based on the cooling parameters, while monitoring the actual temperature of the detector in real time and outputting the temperature data. The core signal processing module receives the qualified optimized signal output by the signal quality assessment module, decodes and extracts the target, and then combines the cooling parameters of the cooling temperature control module to correct and compress the signal before outputting optimized image data. The imaging output module receives optimized image data from the core signal processing module, matches output parameters, renders the image, and displays it. The system's central control module aggregates data from the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module, and then issues control commands after analysis.
2. The cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The infrared signal acquisition module includes: The environmental sensing unit collects external environmental parameters in real time and outputs the environmental parameters. The optical adjustment unit dynamically adjusts the optical parameters based on the environmental parameters output by the environmental sensing unit, and outputs the adjusted optical parameters. The infrared detection unit uses a cooled mid-wave infrared detector. Based on the optical parameters output by the optical adjustment unit, it sets the signal acquisition frequency and detection sensitivity; and outputs the acquired raw mid-wave infrared signal and its own operating status data.
3. The cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The signal preprocessing module includes: The signal buffer unit receives the raw mid-wave infrared signal output from the infrared signal acquisition module, buffers and synchronously shapes the signal, and extracts the basic features of the raw signal for output. The adaptive noise reduction unit dynamically selects the noise reduction algorithm and adjusts the noise reduction parameters based on the basic characteristics of the original signal output from the signal buffer unit and the optical parameters in the infrared signal acquisition module; at the same time, it outputs the noise-reduced signal. The signal enhancement unit, based on the denoised signal output by the adaptive noise reduction unit and combined with the environmental parameters output by the infrared signal acquisition module, performs contrast enhancement and edge sharpening processing on the signal; at the same time, it outputs the pre-processed optimized signal.
4. A cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The signal quality assessment module includes: The signal feature extraction unit receives the optimized signal output by the signal preprocessing module, simultaneously acquires the environmental parameters output by the infrared signal acquisition module, and extracts the key quality features of the signal; at the same time, it outputs the extracted feature data and the corresponding environmental parameters. The quality threshold determination unit compares the feature data output by the signal feature extraction unit with the corresponding environmental parameters based on preset signal quality thresholds under different environments; it also outputs the quality determination result and feature difference data. If the quality threshold judgment unit outputs a qualified result, the feedback control unit transmits the preprocessed qualified optimization signal to the core signal processing module; if the judgment result is unqualified, the feature difference data is fed back to the system master control module.
5. A cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The core signal processing module includes: The signal decoding unit receives the qualified optimized signal output by the signal quality assessment module, decodes and converts the signal, converting the analog signal into digital image data; and outputs the decoded digital image data. The target extraction unit, based on the digital image data output by the signal decoding unit, uses a deep learning target detection algorithm to extract the target region in the image; simultaneously, it combines the environmental parameters output by the infrared signal acquisition module to perform preliminary screening of the extracted target region; and outputs the screened target image data. The data optimization unit performs image correction and data compression processing on the target image data output by the target extraction unit; at the same time, it outputs the optimized image data.
6. A cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The imaging output module includes: The output parameter matching unit receives the optimized image data output by the core signal processing module, combines it with the control commands issued by the system's central control module, matches the corresponding image output parameters, and outputs the matched output parameters. The image rendering unit performs color mapping, grayscale adjustment, and detail rendering on the optimized image data based on the output parameters of the output parameter matching unit; at the same time, it outputs the rendered image data. The display output unit uses a display screen and displays images in real time based on the image data output by the image rendering unit.
7. A cooled mid-wave infrared thermal imaging system according to claim 1, characterized in that, The system's central control module includes: The information aggregation unit receives data transmitted from the infrared signal acquisition module, signal preprocessing module, signal quality assessment module, cooling and temperature control module, core signal processing module, and imaging output module; it then classifies, aggregates, and standardizes the data; and simultaneously outputs the aggregated information. The decision analysis unit, based on the aggregated information output by the information aggregation unit and combined with preset system performance indicators, analyzes whether the module's working state is optimal and adjusts the strategy accordingly; at the same time, it transforms the analysis results and adjustment strategies into specific control commands for output. The instruction issuing unit sends the control instructions output by the decision analysis unit to the corresponding modules or units.