Component Cooling Control System Based on Data Processing

Abstract

The present invention belongs to the technical field of component supervision, specifically a component cooling control system based on data processing, including 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; based on the temperature data analysis of the components, the cooling strategy formulation unit of the present invention analyzes the current temperature performance 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 component cooling operation, which can reduce energy consumption while ensuring the heat dissipation and cooling effect of the components. Moreover, by tracking and monitoring the cooling process of the components and accurately judging the control risk, it enables managers to make reasonable improvement measures in a timely manner, so that the subsequent cooling operation can be stably and accurately executed, improving the cooling effect for the components and ensuring the safe operation of the components.

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. The temperature of components is monitored through temperature sensors, and the real-time temperature is compared with the corresponding set value. When the real-time temperature exceeds the set value, the cooling operation is started;

[0003] 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 cooling operations, which is not conducive to improving the cooling effect of components and ensuring the safe operation of components, and the intelligent level is low;

[0004] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0005] 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 cannot effectively monitor the cooling process and accurately evaluate the risk of cooling control, making it difficult to ensure the stable and accurate execution of cooling operations, not conducive to improving the cooling effect of components and ensuring the safe operation of components, and having a low intelligent level.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] 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;

[0008] 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 respectively correspond to the high-speed cooling strategy, medium-speed cooling strategy, and low-speed cooling strategy. 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 judge 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.

[0009] Furthermore, the specific analysis process of the cooling strategy formulation unit is as follows:

[0010] 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 weighted sum of the first temperature and the third temperature to obtain the cooling strategy determination value, and numerically compare the cooling strategy determination value with the preset cooling strategy determination value range.

[0011] 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.

[0012] Furthermore, the control risk decision unit is communicatively connected to the parameter tracking and feedback unit. The parameter tracking and feedback unit tracks and monitors the cooling process of the component, analyzes the cooling execution deviation condition to judge whether it is in an unreasonable cooling state, and sends the analysis and judgment information to the control risk decision unit in real time.

[0013] Furthermore, the specific analysis process of the parameter tracking and feedback unit includes:

[0014] During the cooling process of the component, the blowing speed is collected and marked as the blowing detection value, and the conveying speed and temperature of the coolant are collected and marked as the infusion speed detection value and the infusion temperature detection value respectively. Numerically compare the blowing detection value, the infusion speed detection value, and the infusion temperature detection value with the preset blowing detection value range, the preset infusion speed detection value range, and the preset infusion temperature detection value range respectively. If the 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 state is an unreasonable cooling state.

[0015] 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, calculate the difference between the air-blowing detection value and the median of the preset air-blowing detection value range and take the absolute value to obtain the air-blowing 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 air-blowing characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value. Compare the parameter tracking value 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.

[0016] Further, the specific analysis process of the control risk decision-making unit includes:

[0017] When it is determined that the current state is 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 value 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, generate a high-risk cooling control signal;

[0018] If the non-reasonable cooling detection value does not exceed the preset non-reasonable cooling detection threshold, 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 cooling duration threshold within a unit time and mark it as the non-reasonable cooling risk value, and mark the single non-reasonable cooling duration with the largest value within a unit time as the non-reasonable cooling holding value;

[0019] Calculate the control risk decision value by performing a weighted sum calculation on the non-reasonable cooling detection value, the non-reasonable cooling risk value, and the non-reasonable cooling holding value. Compare the control risk decision value with the preset control risk decision threshold. If the control risk decision value exceeds the preset control risk decision threshold, generate a high-risk cooling control signal; if the control risk decision value does not exceed the preset control risk decision threshold, generate a low-risk cooling control signal.

[0020] 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, accordingly generates a cooling impact alarm signal or a cooling impact safety signal, 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.

[0021] Further, the specific analysis process of the cooling impact assessment unit is as follows:

[0022] Collect the equipment associated with cooling the component parts, mark the corresponding equipment as the affected object i, where i is a natural number greater than 1; collect the duration from the production date of the affected object i to the current date and mark it as the target duration, and numerically compare the target duration with the corresponding preset target duration threshold. If the target duration exceeds the corresponding preset target duration threshold, mark the affected object i as an obstacle object;

[0023] If the target duration does not exceed the corresponding preset target duration threshold, mark the total duration of the affected object i in the running state in the historical stage as the state duration, and numerically compare the state duration with the corresponding preset state duration threshold. If the state duration exceeds the corresponding preset state duration threshold, mark the affected object i as an obstacle object; If there is an obstacle object among the equipment associated with cooling the component parts, generate a cooling influence alarm signal.

[0024] Furthermore, if there is no obstacle object among the equipment associated with cooling the component parts, mark the ratio of the target duration of the affected object i to the corresponding preset target duration threshold as the target situation value, mark the average value of the target situation values of all equipment as the target analysis value, and mark the ratio of the state duration of the affected object i to the corresponding preset state duration threshold as the state situation value, and mark the average value of the state situation values of all equipment as the state analysis value;

[0025] And set the detection period by tracing back with the current moment as the ending moment, 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, thereby obtaining the operation abnormality value; obtain the cooling influence characteristic value by performing a weighted summation calculation on the target analysis value, the state analysis value, and the operation abnormality value, and numerically compare the cooling influence characteristic value with the preset cooling influence characteristic threshold; If the cooling influence characteristic value exceeds the preset cooling influence characteristic threshold, generate a cooling influence alarm signal; If the cooling influence characteristic value does not exceed the preset cooling influence characteristic threshold, generate a cooling influence safety signal.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] 1. In the present invention, the cooling strategy formulation unit analyzes the current temperature performance of the component parts based on the temperature data of the component parts and generates corresponding cooling signals. The automatic matching control unit determines the cooling strategy currently matched by the component parts based on the corresponding cooling signals to achieve automatic and precise control of the cooling operation of the component parts, which can reduce energy consumption while ensuring the heat dissipation and cooling effect of the component parts, and accurately judge the control risk by tracking and monitoring the cooling process of the component parts, so that the management personnel can make reasonable improvement measures in a timely manner, improve the cooling effect of the component parts and ensure the safe operation of the component parts;

[0028] 2. In the present invention, the cooling control low-risk signal is sent to the cooling impact assessment unit through the control risk decision unit. When the cooling impact assessment unit receives the cooling control low-risk signal, it analyzes the potential cooling hazards of the components. When generating the cooling impact alarm signal, it repairs and replaces the corresponding equipment and strengthens the supervision of the cooling process in the follow-up, 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

[0029] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0030] Figure 1 It is the system block diagram of the first embodiment in the present invention;

[0031] Figure 2 It is the system block diagram of the second embodiment in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] 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 unit, and an intelligent supervision terminal; the temperature detection and output unit monitors the temperature of the components through a temperature sensor 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 temperature of the components, and providing data support for the analysis process of the cooling strategy formulation unit;

[0034] The cooling strategy formulation unit analyzes the current temperature performance of 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 components based on the corresponding cooling signal. The high-efficiency cooling signal, the medium-efficiency cooling signal, and the low-efficiency cooling signal correspond to the high-speed cooling strategy, the medium-speed cooling strategy, and the low-speed cooling strategy respectively. It controls the cooling operation for the components based on the matched cooling strategy, and sends the control information to the intelligent supervision terminal, realizing the automatic and precise control of the cooling operation of the components, reducing energy consumption while ensuring the heat dissipation and cooling effect of the components;

[0035] 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:

[0036] 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. 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; Moreover, 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;

[0037] 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.

[0038] The parameter tracking and feedback unit monitors the cooling process of components, determines whether it is in an unreasonable cooling state by analyzing the deviation of cooling execution, 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 components, but also provide information support for the analysis process of the control risk decision-making unit to ensure the accuracy of its analysis results. The specific analysis process of the parameter tracking and feedback unit is as follows:

[0039] During the cooling process of components, the blowing speed is collected and marked as the blowing detection value, and the conveying speed and temperature of the coolant are collected and marked as the infusion speed detection value and the infusion temperature detection value respectively. The blowing detection value, the infusion speed detection value and the infusion temperature detection value are respectively compared with the preset blowing detection value range, the preset infusion speed detection value range and the preset infusion temperature detection value range. If the 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 components does not meet the requirements, and it is judged that the current state is an unreasonable cooling state.

[0040] If the blowing detection value, the infusion speed detection value and the infusion temperature detection value are all within the corresponding preset ranges, the difference between the blowing detection value and the median of the preset blowing detection value range is calculated and the absolute value is taken to obtain the blowing characteristic value. Similarly, the liquid speed characteristic value and the liquid temperature characteristic value are obtained;

[0041] The parameter tracking value is obtained by calculating the weighted sum of the blowing characteristic value, the liquid speed characteristic value and the liquid temperature characteristic value. That is, corresponding preset weight coefficients are assigned to the blowing characteristic value, the liquid speed characteristic value and the liquid temperature characteristic value in advance. The blowing characteristic value, the liquid speed characteristic value and the liquid temperature characteristic value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three product results is marked 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 components does not meet the requirements;

[0042] The parameter tracking value is compared 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 components does not meet the requirements and the corresponding cooling parameters need to be corrected in time, and it is judged that the current state is an unreasonable cooling state.

[0043] The control risk decision-making 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 timely cause investigation and analysis and make reasonable improvement measures, so that the subsequent cooling operation is executed stably and accurately, improving the cooling effect for components and ensuring the safe operation of components. The specific analysis process of the control risk decision-making unit is as follows:

[0044] When it is determined that the current state is a non - reasonable cooling state, timing is performed until the non - reasonable cooling state ends, and based on this, the single - time non - reasonable cooling duration is obtained. The sum of all single - time non - reasonable cooling durations within a unit time is marked as the non - reasonable cooling detection value. The non - reasonable cooling detection value is numerically compared with a 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 a high - risk cooling control signal is generated.

[0045] If the non - reasonable cooling detection value does not exceed the preset non - reasonable cooling detection threshold, then the single - time non - reasonable cooling duration is numerically compared with a preset single - time non - reasonable cooling duration threshold. The number of single - time non - reasonable cooling durations that exceed the preset non - reasonable cooling duration threshold within a unit time is counted and marked as the non - reasonable cooling risk value, and the maximum single - time non - reasonable cooling duration within a unit time is marked as the non - reasonable holding amplitude value.

[0046] A control risk decision value is obtained by performing a weighted sum calculation on the non - reasonable cooling detection value, the non - reasonable cooling risk value, and the non - reasonable holding amplitude value. That is, corresponding preset weight coefficients are assigned to the non - reasonable cooling detection value, the non - reasonable cooling risk value, and the non - reasonable holding amplitude value in advance. The non - reasonable cooling detection value, the non - reasonable cooling risk value, and the non - reasonable holding amplitude value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three 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 for the component within a unit time.

[0047] The control risk decision value is numerically compared with a 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 for the component within a unit time is poor and is not conducive to ensuring the cooling effect, and then a high - risk cooling control 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 for the component within a unit time is good, and then a low - risk cooling control signal is generated.

[0048] 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 - 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 component and generates a cooling impact alarm signal or a cooling impact safety signal through the analysis.

[0049] And send 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 early warning to remind the management staff to timely repair and replace the corresponding equipment, and strengthen the supervision of the cooling process in the follow-up to further ensure the cooling effect and cooling stability for the components, ensure the safe operation of the components and reduce energy consumption, with a high level of intelligence. The specific analysis process of the cooling impact assessment unit is as follows:

[0050] Collect the equipment associated with the cooling of the components (including cooling fans, pumps, etc.), mark the corresponding equipment as the influencing object i, and i is a natural number greater than 1; collect the duration from the production date of the influencing object i to the current date and mark it as the target duration, and compare the target duration with the corresponding preset target duration threshold value numerically. If the target duration exceeds the corresponding preset target duration threshold value, it indicates that the equipment condition of the influencing object i is poor, then mark the influencing object i as an obstacle object;

[0051] If the target duration does not exceed the corresponding preset target duration threshold value, then mark the total duration of the influencing object i in the running state in the historical stage as the state duration, and compare the state duration with the corresponding preset state duration threshold value numerically. If the state duration exceeds the corresponding preset state duration threshold value, it indicates that the equipment condition of the influencing object i is poor, then mark the influencing object i as an obstacle object; If there is an obstacle object among the equipment associated with the cooling of the components, it indicates that the cooling hidden danger for the components is relatively high, then generate a cooling impact alarm signal.

[0052] Furthermore, if there is no obstacle object among the equipment associated with the cooling of the components, then mark the ratio of the target duration of the influencing object i to the corresponding preset target duration threshold value as the target situation value, and mark the average value of the target situation values of all equipment as the target analysis value, and mark the ratio of the state duration of the influencing object i to the corresponding preset state duration threshold value as the state situation value, and mark the average value of the state situation values of all equipment as the state analysis value;

[0053] And set the detection period by tracing back with the current moment as the ending moment. Preferably, the detection period is ten days; collect the number of times when 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, and thus obtain the operation abnormal situation value; among them, the larger the value of the operation abnormal situation value, the more unstable the cooling process for the components during the detection period;

[0054] The cooling influence eigenvalue is obtained by calculating the weighted sum of the target time analysis value, the state time analysis value, and the operation anomaly value; that is, corresponding preset weight coefficients are assigned to the target time analysis value, the state time analysis value, and the operation anomaly value in advance, the target time analysis value, the state time analysis value, and the operation anomaly value are multiplied by the corresponding preset weight coefficients respectively, and the sum of the three groups of product results is marked as the cooling influence eigenvalue; moreover, the larger the value of the cooling influence eigenvalue, the higher the overall cooling hidden danger for the component.

[0055] The cooling influence eigenvalue is numerically compared with the preset cooling influence characteristic threshold; if the cooling influence eigenvalue exceeds the preset cooling influence characteristic threshold, indicating that the overall cooling hidden danger for the component is relatively high, a cooling influence alarm signal is generated; if the cooling influence eigenvalue does not exceed the preset cooling influence characteristic threshold, indicating that the overall cooling hidden danger for the component is relatively low, a cooling influence safety signal is generated.

[0056] The working principle of the present invention: During use, the temperature detection output unit monitors the temperature of the component, the cooling strategy formulation unit analyzes the current temperature performance of the component based on the temperature data of the component and generates a corresponding cooling signal, 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 for the component based on the matched cooling strategy, realizing the automatic and precise control of the cooling operation for the component, being able to reduce energy consumption while ensuring the heat dissipation and cooling effect of the component, and the parameter tracking feedback unit tracks and monitors the cooling process of the component to determine whether it is in a non - reasonable 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 a cause investigation and analysis when generating a control high - risk signal and makes reasonable improvement measures, enabling the subsequent cooling operation to be stably and accurately executed, improving the cooling effect for the component and ensuring the safe operation of the component.

[0057] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the 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 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 the cooling strategy formulation unit analyzes the current temperature performance of components based on the temperature data of the components, and accordingly generates a high-efficiency cooling signal, a medium-efficiency cooling signal, or a low-efficiency cooling signal; The automatic matching control unit determines the current cooling strategy matched by the component based on the corresponding cooling signal, and controls the cooling operation for the component based on the matched cooling strategy; the control risk decision-making 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; 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, and mark the increase value of the second temperature compared to the first temperature as the third temperature; calculate the weighted sum of the first temperature and the third temperature to obtain the cooling strategy determination value; 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.

2. The component cooling control system based on data processing according to claim 1, wherein The control risk decision-making 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 judge whether it is in an unreasonable cooling state, and sends the analysis and judgment information to the control risk decision-making unit in real time.

3. The component cooling control system based on data processing according to claim 2, characterized in that, The specific analysis process of the parameter tracking and feedback unit is: during the cooling process of the component, the blowing speed is collected and marked as the blowing detection value, and the conveying speed and the coolant temperature of the coolant are collected and marked as the infusion speed detection value and the infusion temperature detection value respectively. If the 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 is in an unreasonable cooling state.

4. The component cooling control system based on data processing according to claim 3, characterized in that, If the blowing detection value, the infusion speed detection value, and the infusion temperature detection value are all within the corresponding preset ranges, calculate the difference between the blowing detection value and the median of the preset blowing detection value range and take the absolute value to obtain the blowing characteristic value. Similarly, obtain the liquid speed characteristic value and the liquid temperature characteristic value. Calculate the weighted sum of the blowing characteristic value, the liquid speed characteristic value, and the liquid temperature characteristic value to obtain the parameter tracking value. If the parameter tracking value exceeds the preset parameter tracking threshold, it is judged that the current is in an unreasonable cooling state.

5. The component cooling control system based on data processing according to claim 2, wherein The specific analysis process of the control risk decision-making unit includes: When it is determined that the current state is an unreasonable cooling state, timing is carried out until the unreasonable cooling state ends. Based on this, the single unreasonable cooling duration is obtained. The sum of all single unreasonable cooling durations within a unit time is marked as the unreasonable cooling detection value. The unreasonable cooling detection value is numerically compared with the preset unreasonable cooling detection threshold. If the unreasonable cooling detection value exceeds the preset unreasonable cooling detection threshold, a high-risk cooling control signal is generated; If the unreasonable cooling detection value does not exceed the preset unreasonable cooling detection threshold, the single unreasonable cooling duration is numerically compared with the preset single unreasonable cooling duration threshold. The number of single unreasonable cooling durations that exceed the preset unreasonable cooling duration threshold within a unit time is counted and marked as the unreasonable cooling risk value, and the maximum single unreasonable cooling duration within a unit time is marked as the unreasonable cooling holding value; The control risk decision value is obtained by performing a weighted sum calculation on the unreasonable cooling detection value, the unreasonable cooling risk value, and the unreasonable cooling holding value. 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, 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.

6. The component cooling control system based on data processing according to claim 5, wherein The control risk decision unit is communicatively connected 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, and accordingly generates a cooling impact alarm signal or a cooling impact safety signal. When the intelligent supervision terminal receives the cooling impact alarm signal, it issues a warning.

7. The component cooling control system based on data processing according to claim 6, wherein The specific analysis process of the cooling impact assessment unit is as follows: The equipment associated with the cooling of the components is collected, and the corresponding equipment is marked as the influencing object i, where i is a natural number greater than 1; if the target duration exceeds the corresponding preset target duration threshold, 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 influencing object i in the running state in the historical stage is marked as the state duration. If the state duration exceeds the corresponding preset state duration threshold, the influencing object i is marked as an obstacle object; if there is an obstacle object among the equipment associated with the cooling of the components, a cooling impact alarm signal is generated.

8. The component cooling control system based on data processing according to claim 7, wherein If there is no obstacle object among the equipment associated with the cooling of the components, the ratio of the target duration of the influencing 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. The ratio of the state duration of the influencing 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; Moreover, trace back from the current moment as the end moment and set the detection period, collect the number of times when the cooling process cannot proceed normally due to equipment abnormalities during the detection period, and calculate the ratio of this number to the total duration of the cooling process during the detection period, thereby obtaining the operation anomaly value; calculate the weighted sum of the target time analysis value, the state time analysis value, and the operation anomaly value to obtain the cooling impact characteristic value, and compare the cooling impact characteristic value with the preset cooling impact characteristic threshold value; If the cooling impact characteristic value exceeds the preset cooling impact characteristic threshold value, generate a cooling impact alarm signal; if the cooling impact characteristic value does not exceed the preset cooling impact characteristic threshold value, generate a cooling impact safety signal.

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