Part cooling control system based on data processing

Abstract

The invention belongs to the technical field of part supervision, and particularly relates to a part cooling control system based on data processing, which comprises a temperature detection output unit, a cooling strategy making unit, an automatic matching control unit, a control risk decision unit and an intelligent supervision terminal, according to the invention, the cooling strategy making unit analyzes the current temperature expression of the part based on the temperature data of the part and generates the corresponding cooling signal, and the automatic matching control unit judges the currently matched cooling strategy of the part based on the corresponding cooling signal so as to realize the automatic precise control of the cooling operation of the part. Energy consumption can be reduced while the heat dissipation cooling effect of the parts is guaranteed, the cooling process of the parts is tracked and monitored, and the risk is accurately judged and controlled, so that managers can take reasonable improvement measures in time, the subsequent cooling operation is stably and accurately executed, and the reliability of the parts is improved. And the cooling effect on the parts is improved, and safe operation of the parts is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of component supervision, and specifically to a component cooling control system based on data processing. Background Art

[0002] With the continuous improvement of the power density of industrial equipment, the requirements for the accuracy and energy efficiency of component cooling control are becoming increasingly stringent. Traditional cooling control systems generally adopt threshold-triggered control, which monitors the temperature of components through temperature sensors and compares the real-time temperature with the corresponding set value. When the real-time temperature exceeds the set value, the cooling operation is started. However, the existing technical solutions are difficult to reasonably match and execute the corresponding cooling strategies, which is not conducive to ensuring the cooling effect of components and reducing energy consumption. It is easy to cause failures of the corresponding industrial equipment due to insufficient heat dissipation of components, and it is impossible to effectively monitor the cooling process and accurately evaluate the risk of cooling control. It is difficult to ensure the stable and accurate execution of the cooling operation, which is not conducive to improving the cooling effect of components and ensuring the safe operation of components, and the intelligent level is low. In view of the above technical defects, a solution is proposed herein. Summary of the Invention

[0003] The purpose of the present invention is to provide a component cooling control system based on data processing, which solves the problems that the existing technology is difficult to reasonably match and execute the corresponding cooling strategies, and is unable to effectively monitor the cooling process and accurately evaluate the risk of cooling control, making it difficult to ensure the stable and accurate execution of the cooling operation, not conducive to improving the cooling effect of components and ensuring the safe operation of components, and having a low intelligent level.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: A component cooling control system based on data processing includes a temperature detection and output unit, a cooling strategy formulation unit, an automatic matching control unit, a control risk decision-making unit, and an intelligent supervision terminal; the temperature detection and output unit monitors the temperature of components through temperature sensors and sends the temperature data of the components to the cooling strategy formulation unit; the cooling strategy formulation unit analyzes the current temperature performance of the components based on the temperature data of the components, generates a high-efficiency cooling signal, a medium-efficiency cooling signal, or a low-efficiency cooling signal accordingly, and sends the high-efficiency cooling signal, the medium-efficiency cooling signal, or the low-efficiency cooling signal to the automatic matching control unit and the intelligent supervision terminal; The automatic matching control unit determines the current cooling strategy matched by the component based on the corresponding cooling signal. The high-efficiency cooling signal, medium-efficiency cooling signal, and low-efficiency cooling signal correspond to the high-speed cooling strategy, medium-speed cooling strategy, and low-speed cooling strategy respectively. It controls the cooling operation for the component based on the matched cooling strategy and sends the control information to the intelligent supervision terminal. The control risk decision unit analyzes to determine the control risk and generates a high-risk cooling control signal or a low-risk cooling control signal, and sends the high-risk cooling control signal or the low-risk cooling control signal to the intelligent supervision terminal. When the intelligent supervision terminal receives the high-risk control signal, it issues a corresponding warning.

[0005] Furthermore, the specific analysis process of the cooling strategy formulation unit is as follows: Obtain the temperature at the current time node and the temperature at the adjacent previous time node and mark them as the first temperature and the second temperature respectively. Mark the increase value of the second temperature compared to the first temperature as the third temperature. Calculate the cooling strategy determination value by performing a weighted sum of the first temperature and the third temperature, and compare the cooling strategy determination value with the preset cooling strategy determination value range. If the cooling strategy determination value exceeds the maximum value of the preset cooling strategy determination value range, generate a high-efficiency cooling signal. If the cooling strategy determination value is within the preset cooling strategy determination value range, generate a medium-efficiency cooling signal. If the cooling strategy determination value does not exceed the minimum value of the preset cooling strategy determination value range, generate a low-efficiency cooling signal.

[0006] Furthermore, the control risk decision unit is communicatively connected to the parameter tracking and feedback unit. The parameter tracking and feedback unit monitors the cooling process of the component, analyzes the cooling execution deviation condition to determine whether it is in an unreasonable cooling state, and sends the analysis and judgment information to the control risk decision unit in real time.

[0007] Furthermore, the specific analysis process of the parameter tracking and feedback unit includes: During the cooling process of the component, collect the air blowing speed and mark it as the air blowing detection value, and collect the conveying speed and temperature of the coolant and mark them as the infusion speed detection value and the infusion temperature detection value respectively. Compare the air blowing detection value, infusion speed detection value, and infusion temperature detection value with the preset air blowing detection value range, preset infusion speed detection value range, and preset infusion temperature detection value range respectively. If the air blowing detection value, infusion speed detection value, or infusion temperature detection value is not within the corresponding preset range, it is determined that the current state is an unreasonable cooling state.

[0008] Further, if the air-blowing detection value, the infusion speed detection value, and the infusion temperature detection value are all within their corresponding preset ranges, the absolute value of the difference between the air-blowing detection value and the median of the preset air-blowing detection value range is calculated to obtain the air-blowing characteristic value. Similarly, the liquid speed characteristic value and the liquid temperature characteristic value are obtained. The parameter tracking value is calculated by performing a weighted sum of the air-blowing characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value. The parameter tracking value is compared numerically with the preset parameter tracking threshold. If the parameter tracking value exceeds the preset parameter tracking threshold, it is determined that the current state is a non-reasonable cooling state.

[0009] Further, the specific analysis process of the control risk decision-making unit includes: When it is determined that the current state is a non-reasonable cooling state, timing is performed until the non-reasonable cooling state ends. Based on this, the single non-reasonable cooling duration is obtained. The sum value of all single non-reasonable cooling durations within a unit time is marked as the non-reasonable cooling detection value. The non-reasonable cooling detection value is compared numerically with the preset non-reasonable cooling detection threshold. If the non-reasonable cooling detection value exceeds the preset non-reasonable cooling detection threshold, a high-risk cooling control signal is generated. If the non-reasonable cooling detection value does not exceed the preset non-reasonable cooling detection threshold, the single non-reasonable cooling duration is compared numerically with the preset single non-reasonable cooling duration threshold. The number of single non-reasonable cooling durations that exceed the preset non-reasonable duration threshold within a unit time is counted and marked as the non-reasonable cooling risk value, and the maximum single non-reasonable cooling duration within a unit time is marked as the non-reasonable cooling holding amplitude value. The control risk decision value is calculated by performing a weighted sum of the non-reasonable cooling detection value, the non-reasonable cooling risk value, and the non-reasonable cooling holding amplitude value. The control risk decision value is compared numerically with the preset control risk decision threshold. If the control risk decision value exceeds the preset control risk decision threshold, a high-risk cooling control signal is generated; if the control risk decision value does not exceed the preset control risk decision threshold, a low-risk cooling control signal is generated.

[0010] Further, the control risk decision-making unit is communicatively connected to the cooling impact assessment unit. The control risk decision-making unit sends the low-risk cooling control signal to the cooling impact assessment unit. When the cooling impact assessment unit receives the low-risk cooling control signal, it analyzes the potential cooling hazards of the components, generates a cooling impact alarm signal or a cooling impact safety signal accordingly, and sends the cooling impact alarm signal or the cooling impact safety signal to the intelligent supervision terminal. When the intelligent supervision terminal receives the cooling impact alarm signal, it issues a corresponding warning.

[0011] Further, the specific analysis process of the cooling impact assessment unit is as follows: Equipment related to cooling of components is collected, and the corresponding equipment is marked as the affected object i, where i is a natural number greater than 1; the duration from the production date of the affected object i to the current date is collected and marked as the target duration, and the target duration is numerically compared with the corresponding preset target duration threshold. If the target duration exceeds the corresponding preset target duration threshold, the affected object i is marked as an obstacle object; If the target duration does not exceed the corresponding preset target duration threshold, the total duration of the affected object i in the running state in the historical stage is marked as the state duration, and the state duration is numerically compared with the corresponding preset state duration threshold. If the state duration exceeds the corresponding preset state duration threshold, the affected object i is marked as an obstacle object; if there is an obstacle object in the equipment related to cooling of components, a cooling impact alarm signal is generated.

[0012] Furthermore, if there is no obstacle object in the equipment related to cooling of components, the ratio of the target duration of the affected object i to the corresponding preset target duration threshold is marked as the target situation value, and the average value of the target situation values of all equipment is marked as the target analysis value. Also, the ratio of the state duration of the affected object i to the corresponding preset state duration threshold is marked as the state situation value, and the average value of the state situation values of all equipment is marked as the state analysis value; And with the current moment as the ending moment, a detection period is set by tracing back. The number of times the cooling process cannot proceed normally due to equipment abnormalities during the detection period is collected and its ratio to the total duration of the cooling process during the detection period is calculated to obtain the operation abnormality value; by performing a weighted summation calculation on the target analysis value, the state analysis value, and the operation abnormality value, a cooling impact characteristic value is obtained, and the cooling impact characteristic value is numerically compared with the preset cooling impact characteristic threshold; if the cooling impact characteristic value exceeds the preset cooling impact characteristic threshold, a cooling impact alarm signal is generated; if the cooling impact characteristic value does not exceed the preset cooling impact characteristic threshold, a cooling impact safety signal is generated.

[0013] Compared with the prior art, the beneficial effects of the present invention are: 1. In the present invention, the cooling strategy formulation unit analyzes the current temperature performance of the components based on the temperature data of the components and generates corresponding cooling signals. The automatic matching control unit determines the cooling strategy currently matched by the components based on the corresponding cooling signals to achieve automatic and precise control of the cooling operation of the components, which can reduce energy consumption while ensuring the heat dissipation and cooling effect of the components. Also, by tracking and monitoring the cooling process of the components and accurately judging the control risk, it is convenient for managers to take reasonable improvement measures in a timely manner, improve the cooling effect of the components, and ensure the safe operation of the components; 2. In the present invention, the risk decision-making unit controls the sending of a low-risk cooling control signal to the cooling impact assessment unit. When the cooling impact assessment unit receives the low-risk cooling control signal, it analyzes the potential cooling hazards of the components. When generating a cooling impact alarm signal, it performs maintenance and replacement of the corresponding equipment and strengthens the supervision of the cooling process in the subsequent stage, further ensuring the cooling effect and cooling stability for the components, guaranteeing the safe operation of the components and reducing energy consumption, with a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is the system block diagram of the first embodiment in the present invention; Figure 2 It is the system block diagram of the second embodiment in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0016] Embodiment 1: As Figure 1 shown, the component cooling control system based on data processing proposed by the present invention includes a temperature detection and output unit, a cooling strategy formulation unit, an automatic matching control unit, a parameter tracking and feedback unit, a control risk decision-making unit, and an intelligent supervision terminal; the temperature detection and output unit monitors the temperature of the components through temperature sensors and sends the temperature data of the components to the cooling strategy formulation unit, realizing the real-time monitoring and timely transmission and feedback of the component temperature, and providing data support for the analysis process of the cooling strategy formulation unit; The cooling strategy formulation unit analyzes the current temperature performance of the components based on the temperature data of the components, generates a high-efficiency cooling signal, a medium-efficiency cooling signal, or a low-efficiency cooling signal accordingly, and sends the high-efficiency cooling signal, the medium-efficiency cooling signal, or the low-efficiency cooling signal to the automatic matching control unit and the intelligent supervision terminal. The automatic matching control unit determines the cooling strategy currently matched by the components based on the corresponding cooling signal. The high-efficiency cooling signal, the medium-efficiency cooling signal, and the low-efficiency cooling signal respectively correspond to the high-speed cooling strategy, the medium-speed cooling strategy, and the low-speed cooling strategy. Based on the matched cooling strategy, it controls the cooling operation for the components and sends the control information to the intelligent supervision terminal, realizing the automatic and precise control of the component cooling operation, ensuring the heat dissipation and cooling effect of the components while reducing energy consumption; It should be noted that the air-blowing speed during air cooling corresponding to the high-speed cooling strategy is greater than that of the medium-speed cooling strategy which is greater than that of the low-speed cooling strategy. The coolant delivery speed during liquid cooling corresponding to the high-speed cooling strategy is greater than that of the medium-speed cooling strategy which is greater than that of the low-speed cooling strategy. And the coolant temperature during liquid cooling corresponding to the high-speed cooling strategy is less than that of the medium-speed cooling strategy which is less than that of the low-speed cooling strategy. Specifically, the specific analysis process of the cooling strategy formulation unit is as follows: Obtain the temperature at the current time node and the temperature at the adjacent previous time node and mark them as the first temperature and the second temperature respectively. Mark the increase value of the second temperature compared to the first temperature as the third temperature. Calculate the cooling strategy determination value by performing a weighted sum of the first temperature and the third temperature, that is, assign corresponding preset weight coefficients to the first temperature and the third temperature in advance, multiply the first temperature and the third temperature by the corresponding preset weight coefficients respectively, and mark the two product results as the cooling strategy determination value. And the larger the value of the cooling strategy determination value, the more it indicates that the cooling speed needs to be increased currently. Compare the cooling strategy determination value with the preset cooling strategy determination value range numerically; If the cooling strategy determination value exceeds the maximum value of the preset cooling strategy determination value range, it indicates that a high cooling speed needs to be maintained currently, then generate a high-efficiency cooling signal; if the cooling strategy determination value is within the preset cooling strategy determination value range, it indicates that a moderate cooling speed needs to be maintained currently, then generate a medium-efficiency cooling signal; if the cooling strategy determination value does not exceed the minimum value of the preset cooling strategy determination value range, it indicates that a low cooling speed needs to be maintained currently, then generate a low-efficiency cooling signal.

[0017] The parameter tracking and feedback unit monitors the cooling process of the component parts, judges whether it is in an unreasonable cooling state by analyzing the cooling execution deviation condition, and sends the analysis and judgment information to the control risk decision-making unit in real time. It can not only accurately feedback the real-time execution performance of the cooling strategy for the component parts, but also provide information support for the analysis process of the control risk decision-making unit to ensure the accuracy of its analysis result. The specific analysis process of the parameter tracking and feedback unit is as follows: During the cooling process of the component parts, collect the air-blowing speed and mark it as the air-blowing detection value, and collect the coolant delivery speed and the coolant temperature and mark them as the infusion speed detection value and the infusion temperature detection value respectively. Compare the air-blowing detection value, the infusion speed detection value and the infusion temperature detection value with the preset air-blowing detection value range, the preset infusion speed detection value range and the preset infusion temperature detection value range respectively numerically. If the air-blowing detection value, the infusion speed detection value or the infusion temperature detection value is not within the corresponding preset range, it indicates that the real-time execution performance of the cooling strategy for the component parts does not meet the requirements, then judge that the current state is an unreasonable cooling state.

[0018] If the blast detection value, the infusion speed detection value, and the infusion temperature detection value are all within their corresponding preset ranges, then calculate the difference between the blast detection value and the median of the preset blast detection value range and take the absolute value to obtain the blast characteristic value. Similarly, obtain the liquid speed characteristic value and the liquid temperature characteristic value; Calculate the parameter tracking value by performing a weighted sum calculation on the blast characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value; that is, assign corresponding preset weight coefficients to the blast characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value in advance, multiply the blast characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value by their respective preset weight coefficients, and mark the sum of the three product results as the parameter tracking value; moreover, the larger the value of the parameter tracking value, the more the real-time execution performance of the cooling strategy for the component does not meet the requirements; Compare the parameter tracking value with the preset parameter tracking threshold. If the parameter tracking value exceeds the preset parameter tracking threshold, it indicates that the real-time execution performance of the cooling strategy for the component does not meet the requirements and corresponding cooling parameters need to be corrected in a timely manner. Then, it is determined that the current is in a non-reasonable cooling state.

[0019] The control risk decision unit analyzes to judge the control risk and generates a high cooling control risk signal or a low cooling control risk signal, and sends the high cooling control risk signal or the low cooling control risk signal to the intelligent supervision terminal. When the intelligent supervision terminal receives the high control risk signal, it issues a corresponding warning to remind the management personnel to conduct a cause investigation and analysis in a timely manner and take reasonable improvement measures to ensure the stable and accurate execution of subsequent cooling operations, improve the cooling effect for the component, and ensure the safe operation of the component; the specific analysis process of the control risk decision unit is as follows: When it is determined that the current is in a non-reasonable cooling state, start timing until the non-reasonable cooling state ends. Accordingly, obtain the single non-reasonable cooling duration. Mark the sum of all single non-reasonable cooling durations within a unit time as the non-reasonable cooling detection value. Compare the non-reasonable cooling detection value with the preset non-reasonable cooling detection threshold. If the non-reasonable cooling detection value exceeds the preset non-reasonable cooling detection threshold, it indicates that the cooling control performance for the component within a unit time is poor, and then generate a high cooling control risk signal; If the non-reasonable cooling detection value does not exceed the preset non-reasonable cooling detection threshold, then compare the single non-reasonable cooling duration with the preset single non-reasonable cooling duration threshold, count the number of single non-reasonable cooling durations that exceed the preset non-reasonable duration threshold within a unit time and mark it as the non-reasonable cooling risk value, and mark the maximum single non-reasonable cooling duration within a unit time as the non-reasonable cooling holding amplitude; The control risk decision value is calculated by weighted summation of the cooling unreasonable detection value, the cooling unreasonable risk value, and the cooling unreasonable holding value; that is, corresponding preset weight coefficients are assigned to the cooling unreasonable detection value, the cooling unreasonable risk value, and the cooling unreasonable holding value in advance, the cooling unreasonable detection value, the cooling unreasonable risk value, and the cooling unreasonable holding value are respectively multiplied by the corresponding preset weight coefficients, and the sum value of the three groups of product results is marked as the control risk decision value; moreover, the larger the value of the control risk decision value, the worse the comprehensive cooling control performance of the component per unit time. The control risk decision value is numerically compared with the preset control risk decision threshold. If the control risk decision value exceeds the preset control risk decision threshold, it indicates that the comprehensive cooling control performance of the component per unit time is poor and is not conducive to ensuring the cooling effect, then a high cooling control risk signal is generated; if the control risk decision value does not exceed the preset control risk decision threshold, it indicates that the comprehensive cooling control performance of the component per unit time is good, then a low cooling control risk signal is generated.

[0020] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the control risk decision unit is communicatively connected to the cooling impact assessment unit. The control risk decision unit sends the low cooling control risk signal to the cooling impact assessment unit. When the cooling impact assessment unit receives the low cooling control risk signal, it analyzes the potential cooling hazards of the component and generates a cooling impact alarm signal or a cooling impact safety signal through the analysis. And the cooling impact alarm signal or the cooling impact safety signal is sent to the intelligent supervision terminal. When the intelligent supervision terminal receives the cooling impact alarm signal, it issues a corresponding warning to remind the management personnel to timely perform the maintenance and replacement of the corresponding equipment, and strengthen the supervision of the cooling process in the follow-up to further ensure the cooling effect and cooling stability of the component, ensure the safe operation of the component and reduce energy consumption, with a high level of intelligence. The specific analysis process of the cooling impact assessment unit is as follows: The equipment associated with the cooling of the component (including the cooling fan, pump, etc.) is collected, and the corresponding equipment is marked as the influencing object i, and i is a natural number greater than 1; the duration from the production date of the influencing object i to the current date is collected and marked as the target duration. The target duration is numerically compared with the corresponding preset target duration threshold. If the target duration exceeds the corresponding preset target duration threshold, it indicates that the equipment condition of the influencing object i is poor, then the influencing object i is marked as an obstacle object. If the target duration does not exceed the corresponding preset target duration threshold, the total duration of the historical stage in which the influence object i is in the running state is marked as the status duration, and the status duration is numerically compared with the corresponding preset status duration threshold. If the status duration exceeds the corresponding preset status duration threshold, indicating that the equipment condition of the influence object i is poor, then the influence object i is marked as an obstacle object; if there is an obstacle object in the equipment associated with cooling the parts, indicating that the cooling hidden danger for the parts is relatively high, a cooling influence alarm signal is generated.

[0021] Furthermore, if there is no obstacle object in the equipment associated with cooling the parts, the ratio of the target duration of the influence object i to the corresponding preset target duration threshold is marked as the target situation value, and the average value of the target situation values of all equipment is marked as the target analysis value. Also, the ratio of the status duration of the influence object i to the corresponding preset status duration threshold is marked as the status situation value, and the average value of the status situation values of all equipment is marked as the status analysis value; And taking the current moment as the ending moment, trace back and set the detection period. Preferably, the detection period is ten days; collect the number of times the cooling process cannot proceed normally due to equipment abnormalities during the detection period and calculate the ratio with the total duration of the cooling process during the detection period to obtain the operation abnormal value; among them, the larger the value of the operation abnormal value, the more unstable the cooling process for the parts during the detection period; The cooling influence characteristic value is obtained by performing a weighted summation calculation on the target analysis value, the status analysis value, and the operation abnormal value; that is, corresponding preset weight coefficients are assigned to the target analysis value, the status analysis value, and the operation abnormal value in advance, the target analysis value, the status analysis value, and the operation abnormal value are respectively multiplied by the corresponding preset weight coefficients, and the sum value of the three groups of product results is marked as the cooling influence characteristic value; moreover, the larger the value of the cooling influence characteristic value, the higher the overall cooling hidden danger for the parts; The cooling influence characteristic value is numerically compared with the preset cooling influence characteristic threshold; if the cooling influence characteristic value exceeds the preset cooling influence characteristic threshold, indicating that the overall cooling hidden danger for the parts is relatively high, a cooling influence alarm signal is generated; if the cooling influence characteristic value does not exceed the preset cooling influence characteristic threshold, indicating that the overall cooling hidden danger for the parts is relatively low, a cooling influence safety signal is generated.

[0022] Working principle of the present invention: During use, the temperature detection and output unit monitors the temperature of components. The cooling strategy formulation unit analyzes the current temperature performance of components based on the temperature data of the components and generates corresponding cooling signals. The automatic matching control unit determines the cooling strategy currently matched by the components based on the corresponding cooling signals, and controls the cooling operation for the components based on the matched cooling strategy, realizing automatic and precise control of the cooling operation for components, being able to reduce energy consumption while ensuring the heat dissipation and cooling effect of components. Moreover, the parameter tracking and feedback unit monitors the cooling process of components to determine whether it is in an unreasonable cooling state, providing information support for the analysis process of the control risk decision-making unit. The control risk decision-making unit analyzes to judge the control risk, conducts cause investigation and analysis when generating a high-risk control signal and makes reasonable improvement measures, enabling the subsequent cooling operation to be stably and accurately executed, improving the cooling effect for components and ensuring the safe operation of components.

[0023] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, enabling those skilled in the relevant technical field to understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A component cooling control system based on data processing, characterized in that: It includes a temperature detection output unit, a cooling strategy formulation unit, an automatic matching control unit, a risk control decision unit and an intelligent supervision terminal; the temperature detection output unit monitors the temperature of the components through a temperature sensor, and the cooling strategy formulation unit analyzes the current temperature performance of the components based on the temperature data of the components, and generates a high-efficiency cooling signal, a medium-efficiency cooling signal or a low-efficiency cooling signal accordingly; The automatic matching control unit determines the cooling strategy currently matched by the component based on the corresponding cooling signal, and controls the cooling operation of the component based on the matched cooling strategy; the control risk decision unit determines the control risk through analysis and generates a cooling control high risk signal or a cooling control low risk signal, and sends the cooling control high risk signal or the cooling control low risk signal to the intelligent supervision end.

2. The component cooling control system based on data processing according to claim 1, characterized in that: The specific analysis process of the cooling strategy formulation unit is as follows: The temperature at the current time node and the temperature at the adjacent previous time node are obtained and marked as the first temperature and the second temperature, and the growth value of the second temperature compared to the first temperature is marked as the third temperature; the cooling strategy judgment value is obtained by weighted summing the first temperature and the third temperature; if the cooling strategy judgment value exceeds the maximum value of the preset cooling strategy judgment value range, a high-efficiency cooling signal is generated; if the cooling strategy judgment value is within the preset cooling strategy judgment value range, a medium-efficiency cooling signal is generated; if the cooling strategy judgment value does not exceed the minimum value of the preset cooling strategy judgment value range, an inefficient cooling signal is generated.

3. The component cooling control system based on data processing according to claim 1, characterized in that: The control risk decision unit is communicatively connected to the parameter tracking feedback unit, which tracks and monitors the cooling process of the parts, determines whether the cooling is in an unreasonable state by analyzing the cooling execution deviation status, and sends the analysis and judgment information to the control risk decision unit in real time.

4. The component cooling control system based on data processing according to claim 3 is characterized in that: The specific analysis process of the parameter tracking feedback unit is as follows: during the cooling process of the parts, the air blowing speed is collected and marked as the air blowing detection value, and the coolant delivery speed and coolant temperature are collected and marked as the infusion speed detection value and the infusion temperature detection value, respectively. If the air blowing detection value, the infusion speed detection value or the infusion temperature detection value is not within the corresponding preset range, it is judged that the current cooling is in an unreasonable state.

5. The component cooling control system based on data processing according to claim 4, characterized in that: If the air blast detection value, the infusion speed detection value and the infusion temperature detection value are all within the corresponding preset range, the difference between the air blast detection value and the median of the preset air blast detection value range is calculated and the absolute value is taken to obtain the air blast characteristic value. Similarly, the liquid speed characteristic value and the liquid temperature characteristic value are obtained. The parameter tracking value is obtained by weighted summing up the air blast characteristic value, the liquid speed characteristic value and the liquid temperature characteristic value. If the parameter tracking value exceeds the preset parameter tracking threshold, it is judged that the current cooling is in an unreasonable state.

6. The component cooling control system based on data processing according to claim 3, characterized in that: The specific analysis process of the control risk decision-making unit includes: The control risk decision value is calculated by weighted summing up the unreasonable cooling detection value, unreasonable cooling risk value and unreasonable cooling amplitude value. If the control risk decision value exceeds the preset control risk decision threshold, a high-risk cooling control signal is generated; otherwise, a low-risk cooling control signal is generated.

7. The component cooling control system based on data processing according to claim 6, characterized in that: The control risk decision unit is communicatively connected to the cooling impact assessment unit. When the cooling impact assessment unit receives a cooling control low risk signal, it analyzes potential cooling hazards of components and generates a cooling impact alarm signal or a cooling impact safety signal accordingly. When the intelligent supervision end receives the cooling impact alarm signal, it issues a warning.

8. The component cooling control system based on data processing according to claim 7, characterized in that: The specific analysis process of the cooling impact assessment unit is as follows: collect the equipment associated with the cooling of the components, mark the corresponding equipment as the impact object i, and i is a natural number greater than 1; if the target duration exceeds the corresponding preset target duration threshold, mark the impact object i as an obstacle object; If the target duration does not exceed the corresponding preset target duration threshold, the total duration of the impact object i in the historical stage in the running state will be marked as the state duration; if the state duration exceeds the corresponding preset state duration threshold, the impact object i will be marked as an obstacle object; if there is an obstacle object in the equipment associated with the cooling of the components, a cooling impact alarm signal is generated.

9. The component cooling control system based on data processing according to claim 8, characterized in that: If there is no obstacle object in the equipment associated with the cooling of the components, the cooling impact characteristic value is calculated by weighted summing up the target time analysis value, the state time analysis value and the operating abnormality value. If the cooling impact characteristic value exceeds the preset cooling impact characteristic threshold, a cooling impact alarm signal is generated; if the cooling impact characteristic value does not exceed the preset cooling impact characteristic threshold, a cooling impact safety signal is generated.

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