Industrial personal computer heat dissipation control method and system based on environment perception

Abstract

The invention provides an industrial personal computer heat dissipation control method and system based on environmental perception, and the method comprises the steps: S1, monitoring the atmospheric moisture content parameter of an operation region in real time; s2, establishing a three-level humidity response mechanism: in primary response, when the atmospheric moisture content is monitored to break through a basic alarm value, activating an environment state tracking function; intermediate response: when the atmospheric moisture content exceeds a composite warning value, synchronously acquiring dust retention data of a heat dissipation channel and a heat conduction coefficient of equipment, and triggering an equipment protection mode after implementing multi-source data fusion processing; advanced response: when the atmospheric water content reaches the system safety upper limit, activating an environment adjusting device; and S3, executing a corresponding control strategy according to the response level. By sensitively sensing the environment humidity, the problem that the industrial personal computer cannot dissipate heat due to the fact that dust is agglomerated and condensed at the fins at the air outlet of the industrial personal computer under the condition of high environment humidity such as a plum rain season is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial control computers, and particularly to a heat dissipation control method and system for industrial control computers based on environmental perception. Background Art

[0002] Industrial control computers usually run for a long time in a dusty environment. However, in some areas in the middle and lower reaches of the Yangtze River, due to the influence of the plum rain season from June to July, the humidity in the air is high, which will cause dust to agglomerate and condense at the fins of the air outlet of the industrial control computer. If not processed for a long time, it will cause uneven heat dissipation of the industrial control computer and keep it in a high-temperature working environment for a long time, ultimately leading to the damage of the industrial control computer. Summary of the Invention

[0003] Based on the technical problems existing in the above background art, the present invention proposes a heat dissipation control method and system for industrial control computers based on environmental perception, and the technical solutions adopted are as follows:

[0004] A heat dissipation control method for industrial control computers based on environmental perception, the method comprising:

[0005] S1: Real-time monitoring of the atmospheric moisture content parameter in the operation area;

[0006] S2: Establish a three-level humidity response mechanism, wherein:

[0007] Primary response: When it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental state tracking function;

[0008] Intermediate response: When the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation amount data in the heat dissipation channel and the equipment heat conduction coefficient, and after implementing multi-source data fusion processing, trigger the equipment protection mode;

[0009] Advanced response: When the atmospheric moisture content reaches the system safety upper limit, activate the environmental regulation device;

[0010] S3: Execute the corresponding control strategy according to the response level.

[0011] Preferably, the multi-source data fusion processing in S2 includes: performing time-domain synchronization processing on the dust accumulation amount in the heat dissipation channel, the heat conduction coefficient, and the time series of environmental parameters.

[0012] Preferably, the primary response includes:

[0013] Enable a distributed sensor array, construct a dynamic monitoring network for humidity parameters, and implement adaptive adjustment of the data sampling frequency.

[0014] Preferably, the equipment protection mode of the intermediate response includes:

[0015] Activate the environment adaptation protocol, dynamically adjust the operating parameters of the dust removal device according to the dust accumulation amount, perform a thermal balance analysis, and generate a heat dissipation optimization plan.

[0016] Preferably, the advanced response includes:

[0017] Start the phase change humidity control device and optimize the dehumidification efficiency by combining the Kalman filtering algorithm.

[0018] Preferably, the environment adaptation protocol includes:

[0019] Establish an association model between the dust accumulation amount and the heat dissipation efficiency index. When the detected dust accumulation amount exceeds the preset critical value, implement:

[0020] a) Adjust the amplitude and action period of the acoustic wave dust collector;

[0021] b) Perform a thermal stability assessment;

[0022] c) Dynamically allocate heat dissipation resources based on the assessment results.

[0023] Preferably, the thermal stability assessment includes:

[0024] Construct a multi-dimensional parameter matrix, including the device operating temperature curve, thermal resistance characteristic parameters, reference operating condition temperature value, and heat dissipation response duration, and calculate the heat dissipation efficiency index through the thermodynamic transfer function.

[0025] When the efficiency index is lower than the safety threshold, activate the auxiliary heat dissipation unit.

[0026] Preferably, after the auxiliary heat dissipation unit is activated, it further includes:

[0027] Implement temperature gradient monitoring and establish a heat load prediction model.

[0028] Estimate the equipment temperature rise trend through time series analysis.

[0029] When the predicted temperature rise exceeds the allowable range, trigger a multi-level emergency protocol.

[0030] Preferably, the multi-level emergency protocol includes:

[0031] Implement the overclocking operation strategy of the heat dissipation unit.

[0032] Start the remote operation and maintenance warning system.

[0033] Generate an equipment maintenance work order and dispatch it to the designated terminal.

[0034] An industrial control computer heat dissipation control system based on environmental perception, the system includes:

[0035] Environmental humidity data acquisition system: Real-time monitor the atmospheric moisture content parameters of the operation area.

[0036] Humidity Threshold Judgment and Response Initiation System: Establish a three - level humidity response mechanism, where:

[0037] Primary Response Module: When it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental status tracking function;

[0038] Intermediate Response Module: When the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation data in the heat dissipation channel and the equipment heat conduction coefficient. After implementing multi - source data fusion processing, trigger the equipment protection mode;

[0039] Advanced Response Module: When the atmospheric moisture content reaches the system safety upper limit, activate the environmental regulation device;

[0040] Response Plan Execution System: Execute the corresponding control strategy according to the response level.

[0041] Advantages of the present invention: Through the sensitive perception of the environmental humidity, the present invention solves the problem that in environments with high humidity such as the plum rain season, dust caking and condensing at the fin of the industrial control computer air outlet, resulting in the inability of the industrial control computer to dissipate heat; in this process, the system simulates the influence of dust on equipment heat dissipation; then analyzes the simulation results from aspects such as temperature distribution changes and quantitative evaluation of heat dissipation efficiency index to ensure the timeliness and effectiveness of the maintenance and dust prevention measures of the industrial control computer. Brief Description of the Drawings

[0042] Figure 1 A heat dissipation control method for an industrial control computer based on environmental perception as described in the present invention. Detailed Embodiment

[0043] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not used to limit the present invention.

[0044] A heat dissipation control method for an industrial control computer based on environmental perception, the method includes:

[0045] S1: Real - time monitor the atmospheric moisture content parameter of the operation area;

[0046] S2: Establish a three - level humidity response mechanism, where:

[0047] Primary Response: When it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental status tracking function;

[0048] Intermediate Response: When the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation data in the heat dissipation channel and the equipment heat conduction coefficient. After implementing multi - source data fusion processing, trigger the equipment protection mode;

[0049] Advanced response: When the atmospheric moisture content reaches the system safety upper limit, activate the environmental regulation device;

[0050] S3: Execute the corresponding control strategy according to the response level.

[0051] The working principle and effect of the above technical solution are as follows: First, obtain the environmental humidity numerical data. When the humidity value exceeds the primary phase change point, start the primary response, which includes starting the monitoring device to monitor the change of environmental humidity in real time; when the humidity exceeds the secondary coupling point, start the intermediate response, which includes the industrial control computer entering the plum rain season mode; when the humidity value exceeds the tertiary failure point, start the advanced response, which includes starting the dehumidification device; The present invention solves the problem that dust caking and condensing at the fin of the air outlet of the industrial control computer, resulting in the inability of the industrial control computer to dissipate heat under the condition of high environmental humidity such as in the plum rain season through the sensitive perception of environmental humidity; in this process, the system simulates the influence of dust on the heat dissipation of the device; then analyzes the simulation results from aspects such as temperature distribution change and quantification evaluation of heat dissipation efficiency index to ensure the timeliness and effectiveness of the maintenance and dust prevention measures of the industrial control computer.

[0052] In an embodiment of the present invention, the multi-source data fusion processing of S2 includes: performing time-domain synchronization processing on the dust accumulation amount in the heat dissipation channel, the thermal conductivity coefficient, and the time series of environmental parameters.

[0053] The working principle and effect of the above technical solution are as follows: When the adsorption potential of gaseous water molecules breaks through the interface activation threshold (critical value 70% RH), the system will activate the molecular-level environmental perception network, capture high-frequency spectral environmental parameters through the quantization resonance sensing unit, generate an infiltration phase change characteristic matrix based on the time series, and use the nonlinear dynamics algorithm to reconstruct the humidity evolution trajectory; when the pattern recognition engine determines that the trajectory conforms to the metastable infiltration enhancement mode, it will trigger the preventive protection protocol, and establish an interface state migration buffer in advance through the preloaded surface energy regulation strategy and the thermodynamic entropy compensation mechanism, so as to realize the advanced intervention of the condensation phase change process, effectively reduce the risk of non-equilibrium heat transfer distortion, and maintain the topological stability of electronic devices in the multiphase flow coupling environment.

[0054] In an embodiment of the present invention, the primary response includes:

[0055] Enable the distributed sensor array, construct a dynamic monitoring network for humidity parameters, and implement adaptive adjustment of data sampling frequency.

[0056] The working principle and effects of the above technical solution are as follows: When the environmental humidity value exceeds the secondary coupling point (80%), the industrial control computer enters the plum rain season mode. In the plum rain season mode, on the one hand, a capacitance sensor set near the fins at the air outlet of the industrial control computer is used to obtain the dust thickness value at the fins of the air outlet of the industrial control computer. When the dust accumulation causes a change in the capacitance value, the capacitance sensor can automatically detect this change and convert it into an electrical signal. By using a capacitive sensor, not only because the capacitive sensor uses a non-contact measurement method and does not need to directly contact the dust, it directly avoids physical damage to the fins at the air outlet of the industrial control computer, and does not interfere with the natural accumulation state of the dust, and can more accurately reflect the actual dust accumulation situation. Moreover, due to the high sensitivity of the capacitive sensor and its high sensitivity to small changes in dust thickness, it can detect early signs of dust accumulation in a timely manner so as to take measures in advance; the internal resistance measurement circuit built into the industrial control computer is used to obtain the internal resistance value of the industrial control computer, which can realize real-time monitoring of the internal resistance of the industrial control computer. And because the built-in circuit is directly connected to the components of the industrial control computer, it can more accurately measure the internal resistance value of the industrial control computer.

[0057] In one embodiment of the present invention, the advanced response includes:

[0058] Start the phase change humidity control device and optimize the dehumidification efficiency by combining the Kalman filter algorithm.

[0059] The working principle and effects of the above technical solution are as follows: When the environmental humidity exceeds the third-level failure point (85%), the dehumidification device starts. The industrial control computer introduces the humid air into the dehumidification device through a fan. The dehumidification device is pre-cooled by a refrigerant in advance. When the humid air contacts the surface of the low-temperature heat exchanger in the dehumidification device, the water vapor in the air encounters cold and the temperature drops rapidly, reaching the saturation state. Since the ability of air to hold water vapor decreases in the saturated state, the excess water vapor will condense into water droplets on the surface of the heat exchanger. The water droplets on the surface of the heat exchanger flow down along the pipeline, converge into the drainage system, and finally are discharged outside the dehumidification device; Selecting this dehumidification device is on the one hand because it can significantly reduce the humidity in a short time and has high dehumidification efficiency; on the other hand, it has strong environmental adaptability, so it is also suitable for the harsh environment with high humidity during the plum rain season.

[0060] In one embodiment of the present invention, the environmental adaptation protocol includes:

[0061] Establish an association model between the dust accumulation amount and the heat dissipation efficiency index. When it is detected that the dust accumulation amount exceeds the preset critical value, implement:

[0062] a) Adjust the amplitude and action period of the acoustic wave dust collector;

[0063] b) Perform a thermal stability assessment;

[0064] c) Dynamically configure heat dissipation resources based on the evaluation results.

[0065] The working principle and effects of the above technical solution are as follows: Through the above capacitance sensor, continuously obtain the dust thickness value on the surface of the fins at the air outlet of the industrial control computer; when the dust thickness value exceeds the maximum dust thickness threshold, it indicates that the accumulation of dust has affected the normal heat dissipation of the industrial control computer; First, perform dust shaking treatment through the dust shaking device. During the dust shaking process, shorten the vibration frequency, make the interval time between each vibration longer, and let each vibration have a more sufficient action time; increase the vibration duration to avoid the condensed dust blocks not being shaken off sufficiently due to insufficient vibration time; At the same time, evaluate the heat dissipation risk of the industrial control computer, obtain the heat dissipation efficiency index of the industrial control computer in a quantitative manner, and perform subsequent operations based on the obtained heat dissipation efficiency index value; According to the obtained heat dissipation efficiency index value, the subsequent operations can be intelligently determined. If the heat dissipation efficiency index is still low, further strengthen the heat dissipation measures. If the heat dissipation efficiency index returns to normal, the current state can be maintained to avoid unnecessary energy consumption, ultimately reducing the shutdown risk during the production process and improving the continuity and efficiency of industrial production.

[0066] In an embodiment of the present invention, the thermal stability assessment includes:

[0067] Construct a multi-dimensional parameter matrix, including the device operating temperature curve, thermal resistance characteristic parameters, reference condition temperature value, and heat dissipation response duration, and calculate the heat dissipation efficiency index through the thermodynamic transfer function.

[0068] When the efficiency index is lower than the safety threshold, activate the auxiliary heat dissipation unit, and the heat dissipation efficiency index is obtained through the following formula:

[0069]

[0070] Where η represents the heat dissipation efficiency index, R represents the internal resistance value of the industrial control computer, Q represents the heat generated by the industrial control computer, T1 represents the actual working temperature of the industrial control computer, T0 represents the working temperature under the standard environment, and t represents the heat dissipation time of the industrial control computer.

[0071] The working principle and effects of the above technical solution are as follows: Due to the changeable temperature during the plum rain season, the set temperature sensor obtains the actual working temperature of the industrial control computer in real time. The increase in humidity will cause dust to condense on the fins at the air outlet of the industrial control computer, resulting in insufficient heat dissipation and thus changes in the internal resistance of the industrial control computer. Therefore, it is necessary to measure the internal resistance value of the industrial control computer (unit: Kelvin / Watt) in real time through the built-in circuit; the working temperature under standard conditions is 298K; the heat dissipation time is the average value measured through multiple experiments under the standard specified temperature (298K), humidity of 50%, and running at the rated power. Considering the special working conditions during the plum rain weather, the threshold value of the minimum heat dissipation efficiency index will be higher than the threshold value of the minimum heat dissipation efficiency index under the standard specified temperature. Because in an environment with high humidity and difficult heat dissipation, the conditions required for the device to achieve the same heat dissipation effect are more demanding. When the heat dissipation efficiency index is lower than the minimum heat dissipation efficiency index threshold, the system will start the cooling fan. During the plum rain season, the humidity is high and the temperature fluctuates, which easily causes the heat dissipation of the industrial control computer to be blocked and the temperature to be too high, affecting the operation. Therefore, the sensor obtains parameters such as the actual working temperature in real time to calculate the heat dissipation efficiency index, and can detect heat dissipation problems in time. When the efficiency is lower than the threshold value, the cooling fan is started, which can quickly discharge heat and prevent the computer from crashing due to overheating. At the same time, the plum rain season will also affect the internal resistance of the industrial control computer, thereby interfering with heat dissipation. Continuously monitoring the internal resistance value can detect heat dissipation anomalies caused by humidity in advance. Ultimately, the industrial control computer can better adapt to the complex and changeable environment during the plum rain season. Even under unfavorable humidity and temperature conditions, it can maintain a good operating state by adjusting the heat dissipation strategy, enhancing the adaptability of the device to special environments and broadening the application range of the industrial control computer in different regions and seasons.

[0072] In the above formula for calculating the heat dissipation efficiency index, the heat dissipation time is the average value measured through multiple experiments under the standard specified temperature (298K), humidity of 50%, and running at the rated power. The heat dissipation time measured by this method is the standard heat dissipation time. Moreover, by taking the average value through multiple experiments, the influence caused by the fluctuation of the environmental temperature due to factors such as season and geographical location is reduced; the operating power of the device will also change due to different working loads; the heat dissipation structure will have differences from the standard situation due to reasons such as installation methods and wear during use. Quantifying the heat dissipation efficiency index improves the accuracy of the quantitative evaluation of the device's heat dissipation efficiency index, enabling the operation and maintenance personnel to clearly and specifically understand the quality of the device's heat dissipation performance, avoiding the ambiguity of judging the heat dissipation situation only relying on subjective feelings or simple observations. At the same time, it improves the analysis ability of the factors affecting the heat dissipation efficiency index. By clarifying the relationship between each parameter and the heat dissipation efficiency index, the key factors causing heat dissipation problems can be quickly found, avoiding blindness and inefficiency in troubleshooting heat dissipation failures.

[0073] In one embodiment of the present invention, after the auxiliary heat dissipation unit is activated, it further includes:

[0074] Implement temperature gradient monitoring and establish a heat load prediction model.

[0075] Estimate the temperature rise trend of the equipment through time series analysis.

[0076] When the predicted temperature rise exceeds the allowable range, trigger a multi-level emergency protocol.

[0077] The working principle and effect of the above technical solution are as follows: After the cooling fan starts, due to the high humidity, the air heat transfer characteristics change, and the temperature fluctuates frequently. The temperature sensor continuously and periodically obtains the actual working temperature of the industrial control computer, and then through the trend analysis algorithm, the working temperature change trend of the industrial control computer is obtained. Based on the obtained temperature change trend, a time series prediction model is used to predict the working temperature after the cooling time of the industrial control computer. If the predicted temperature value is still higher than the working temperature under the standard environment, it means that the cooling fan fails to effectively control the temperature under the rainy season working conditions, and at the same time, the temperature will exceed the normal range, which will pose a threat to the performance and stability of the industrial control computer; at this time, the emergency system is immediately started. By periodically obtaining the actual working temperature and analyzing the trend, the temperature trend is predicted in advance, preventing equipment overheating failures, avoiding problems such as crashing, data loss, and hardware damage, and improving the stable operation of the industrial control computer; at the same time, continuously monitoring and dynamically predicting the actual working temperature can enable the system to quickly adapt to the environmental changes where humidity affects air heat transfer and temperature fluctuates frequently, and timely take emergency measures to enhance heat dissipation and contact the operation and maintenance personnel to ensure the good operation of the industrial control computer in a harsh environment. The stable operation of the industrial control computer can guarantee the production quality and efficiency, avoid the production of defective products and production interruptions caused by equipment failures, and thus reduce economic losses.

[0078] In one embodiment of the present invention, the emergency system includes: increasing the rotation speed of the cooling fan and issuing a warning to notify the operation and maintenance personnel to perform on-site dust cleaning, and the rotation speed of the fan is obtained through the following formula:

[0079] N = min(N0 + k×(T2 - T0), N max )

[0080] Wherein, N represents the adjusted rotation speed of the cooling fan, N0 represents the rotation speed of the cooling fan before adjustment, N max represents the maximum rotation speed of the cooling fan, T2 represents the working temperature predicted after the cooling time of the industrial control computer, k represents the influence coefficient of temperature change on the fan rotation speed; and the calculation formula of T2 is as follows:

[0081] T2 = T1 + (T1 - T O ) -ηt

[0082] The working principle and effects of the above technical solution are as follows: In the calculation formula of the above fan speed, k represents the influence coefficient of temperature change on the fan speed. It reflects the amplitude by which the fan speed needs to be increased when the temperature rises by 1K, with the unit of rmp / K. This coefficient is obtained through experimental testing or empirical estimation based on the actual conditions such as the heat dissipation structure of the industrial control computer and the fan performance, and k = 50 rmp / K; this formula improves the heat dissipation control accuracy of the industrial control computer in complex and humid environments. By predicting the working temperature after the heat dissipation time of the industrial control computer and the working temperature in the standard environment, it can match the different heat dissipation requirements caused by the humidity and temperature changes in the rainy season. It avoids the problems of insufficient or excessive heat dissipation caused by the inability of traditional fixed-speed fans to adapt to the working conditions in the rainy season, improves the stability of the operation of the industrial control computer, and also avoids the blind increase of the fan speed. While ensuring the heat dissipation effect, the speed is limited within a reasonable range N max to avoid problems such as increased equipment wear, excessive noise, and high power consumption caused by the long-term high-load operation of the fan, extend the overall service life of the fan and the industrial control computer, and reduce the maintenance cost.

[0083] An embodiment of the present invention is a heat dissipation control system for an industrial control computer based on environmental perception, and the system includes:

[0084] An environmental humidity data acquisition system: real-time monitoring of the atmospheric moisture content parameters in the operation area;

[0085] A humidity threshold judgment and response activation system: establishing a three-level humidity response mechanism, where:

[0086] A primary response module: when it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental status tracking function;

[0087] An intermediate response module: when the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation amount data of the heat dissipation channel and the equipment heat conduction coefficient. After implementing multi-source data fusion processing, trigger the equipment protection mode;

[0088] A high-level response module: when the atmospheric moisture content touches the system safety upper limit, activate the environmental regulation device;

[0089] A response plan execution system: execute the corresponding control strategy according to the response level.

[0090] The working principle and effects of the above technical solution are as follows: First, obtain the ambient humidity numerical data. When the humidity value exceeds the primary phase change point, start the primary response, which includes starting the monitoring device to monitor the change of ambient humidity in real time; when the humidity exceeds the secondary coupling point, start the intermediate response, which includes the industrial control computer entering the plum rain season mode; when the humidity value exceeds the tertiary failure point, start the advanced response, which includes starting the dehumidification device. The present invention solves the problem that dust caking and condensing at the fin of the air outlet of the industrial control computer, resulting in the inability of the industrial control computer to dissipate heat under the condition of high ambient humidity such as in the plum rain season through sensitive perception of ambient humidity. In this process, the system simulates the influence of dust on the heat dissipation of the device. Then, analyze the simulation results from aspects such as the change of temperature distribution and the quantification and evaluation of the heat dissipation efficiency index to ensure the timeliness and effectiveness of the maintenance and dust prevention measures of the industrial control computer.

[0091] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A heat dissipation control method for an industrial control computer based on environmental perception, characterized in that, The method includes: S1: Real-time monitor the atmospheric moisture content parameter in the operation area; S2: Establish a three-level humidity response mechanism, where: Primary response: When it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental status tracking function; Intermediate response: When the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation amount data in the heat dissipation channel and the equipment heat conduction coefficient. After implementing multi-source data fusion processing, trigger the equipment protection mode; Advanced response: When the atmospheric moisture content touches the system safety upper limit, activate the environmental regulation device; S3: Execute the corresponding control strategy according to the response level.

2. The method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 1, wherein The primary response includes: Enable the distributed sensor array, construct a dynamic monitoring network for humidity parameters, and implement adaptive adjustment of the data sampling frequency.

3. A method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 1, characterized in that, The multi-source data fusion processing in S2 includes: Perform time-domain synchronization processing on the time series of the dust accumulation amount in the heat dissipation channel, the heat conduction coefficient, and the environmental parameters.

4. A heat dissipation control method for an industrial control computer based on environmental perception according to claim 1, characterized in that, The equipment protection mode of the intermediate response includes: Activate the environmental adaptation protocol, dynamically adjust the operation parameters of the dust removal device according to the dust accumulation amount, perform heat balance analysis, and generate a heat dissipation optimization plan.

5. A method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 1, characterized in that, The advanced response includes: Start the phase change humidity control device and optimize the dehumidification efficiency in combination with the Kalman filter algorithm.

6. A method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 4, characterized in that, The environmental adaptation protocol includes: Establish an association model between the dust accumulation amount - heat dissipation efficiency index. When it is detected that the dust accumulation amount exceeds the preset critical value, implement: a) Adjust the amplitude and action period of the acoustic wave dust collector; b) Perform thermal stability assessment; c) Dynamically configure heat dissipation resources based on the assessment results.

7. The heat dissipation control method of an industrial control computer based on environmental perception according to claim 6, characterized in that, The thermal stability assessment includes: Construct a multi-dimensional parameter matrix, including the equipment operating temperature curve, thermal resistance characteristic parameters, reference working condition temperature value, and heat dissipation response duration. Calculate the heat dissipation efficiency index through the thermodynamic transfer function. When the efficiency index is lower than the safety threshold, activate the auxiliary heat dissipation unit, and the heat dissipation efficiency index is obtained through the following formula: where η represents the heat dissipation efficiency index, R represents the internal resistance value of the industrial control computer, Q represents the heat generated by the industrial control computer, T1 represents the actual working temperature of the industrial control computer, T0 represents the working temperature under the standard environment, and t represents the heat dissipation time of the industrial control computer.

8. The method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 7, characterized in that, After the auxiliary heat dissipation unit is activated, it also includes: Implement temperature gradient monitoring and establish a heat load prediction model; Estimate the equipment temperature rise trend through time series analysis; When the predicted temperature rise exceeds the allowable range, trigger a multi-level emergency protocol.

9. A method for controlling the heat dissipation of an industrial control computer based on environmental perception according to claim 8, characterized in that, The multi-level emergency protocol includes: Implement the overclocking operation strategy of the heat dissipation unit; Start the remote operation and maintenance warning system; Generate an equipment maintenance work order and dispatch it to the designated terminal.

10. An industrial control computer heat dissipation control system based on environmental perception, characterized in that, The system includes: Environmental humidity data acquisition system: Real-time monitor the atmospheric moisture content parameter in the operation area; Humidity threshold judgment and response activation system: Establish a three-level humidity response mechanism, where: Primary response module: When it is detected that the atmospheric moisture content breaks through the basic warning value, activate the environmental status tracking function; Intermediate response module: When the atmospheric moisture content exceeds the composite warning value, synchronously obtain the dust accumulation amount data in the heat dissipation channel and the equipment heat conduction coefficient. After implementing multi-source data fusion processing, trigger the equipment protection mode; Advanced response module: When the atmospheric moisture content touches the system safety upper limit, activate the environmental regulation device; Response plan execution system: Execute corresponding control strategies according to the response level.

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