Closed circulating cooling water temperature control method and system

Abstract

The invention discloses a closed circulating cooling water temperature control method and system. The method comprises the steps that historical water temperature data of cooling water and historical operation data of equipment to be cooled are obtained and preprocessed; establishing a water temperature prediction model of the cooling water based on the preprocessed historical water temperature data and historical operation data, and predicting the temperature of the cooling water according to the water temperature prediction model to obtain a water temperature prediction value of the cooling water; obtaining a water temperature requirement range of cooling water, and determining a water temperature predicted value and a demand difference value between the water temperature predicted value; judging whether the demand difference value of the cooling water meets a set preset cooling water cooling condition or not; and when it is judged that the cooling water cooling condition is met, a cooling water cooling control strategy is made based on the demand difference value. By analyzing the water temperature predicted value and the demand difference value, the system formulates an intelligent cooling water cooling control strategy under the condition of predicting the temperature change in advance, so that the accurate control of the cooling water temperature is realized, the stability of the system is improved, and the requirements of equipment or a process are better met.

Description

Technical Field

[0001] The present invention relates to the technical field of closed-cycle cooling systems, and in particular to a closed-cycle cooling water temperature control method and system. Background Art

[0002] A closed-loop cooling system is a system used to control the temperature of industrial equipment or processes. In many industrial applications, machines, equipment or processes need to be kept within a specific temperature range in order to operate properly. Closed-loop cooling systems absorb the heat generated by the equipment or process by circulating a cooling medium (usually water or other coolant) and remove it to maintain a constant temperature. In order to ensure that the closed-loop cooling system can effectively control the temperature of the cooling water, the temperature of the cooling water is usually regulated by the cooling equipment in the closed-loop cooling system to ensure that the equipment or process can operate within a safe temperature range.

[0003] However, traditional cooling water temperature control methods usually use simple switch control. This method has limited control accuracy and is difficult to accurately control the temperature of cooling water, especially in applications with high temperature requirements. At the same time, traditional control methods respond slowly to temperature changes. The control system may not be able to adjust the cooling water flow or pressure in time to cope with sudden temperature fluctuations, thereby affecting the stability of equipment or processes. Traditional methods require frequent manual intervention and adjustments, lack intelligence and adaptability, and cannot be dynamically adjusted according to actual working conditions and needs. It is difficult to adapt to the complex and changeable industrial production environment and the system stability is poor. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a closed-loop cooling water temperature control method and system, comprising:

[0005] Obtain historical water temperature data of cooling water in the closed circulation system and historical operation data of the equipment to be cooled, and pre-process the historical water temperature data and historical operation data;

[0006] A cooling water temperature prediction model is established based on the pre-processed historical water temperature data and historical operation data, and the cooling water temperature is predicted according to the water temperature prediction model to obtain a cooling water temperature prediction value;

[0007] Obtain the required range of cooling water temperature and determine the demand difference between the predicted water temperature and the required range of water temperature;

[0008] Determine whether the cooling water demand difference value meets the preset cooling water temperature drop condition;

[0009] When it is determined that the demand difference value of the cooling water meets the cooling water temperature reduction condition, a cooling water temperature reduction control strategy is formulated based on the demand difference value.

[0010] Furthermore, the preprocessing of the historical water temperature data and the historical operation data includes:

[0011] Clean the historical water temperature data and historical operation data to remove or modify the erroneous values, missing values, and duplicate values ​​in the data;

[0012] The cleaned data are smoothed and normalized.

[0013] Furthermore, the water temperature prediction model of cooling water is established based on the pre-processed historical water temperature data and historical operation data, and the temperature of cooling water is predicted according to the water temperature prediction model to obtain the predicted value of the cooling water temperature, including:

[0014] The pre-processed historical water temperature data and historical operation data are aligned and arranged in chronological order to form a time series data set;

[0015] Construct a water temperature prediction model for a closed-loop system based on time-series historical water temperature data, historical operation data, and a preset neural network model;

[0016] The time series data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the water temperature prediction model to train and test the water temperature prediction model until the water temperature prediction model meets the preset convergence conditions;

[0017] The trained water temperature prediction model is used to make predictions to obtain the predicted value of cooling water temperature.

[0018] Furthermore, the step of obtaining the required range of cooling water temperature and determining the demand difference between the predicted water temperature value and the required range of cooling water temperature includes:

[0019] Obtain the required water temperature range of cooling water, and extract the maximum required water temperature value and the minimum required water temperature value from the required water temperature range;

[0020] Determine the magnitude relationship between the water temperature prediction value and the maximum water temperature requirement and the minimum water temperature requirement, and determine the demand difference value between the water temperature prediction value and the water temperature requirement range;

[0021] If the predicted water temperature value is greater than the maximum water temperature requirement, the difference between the maximum water temperature requirement and the predicted water temperature value is taken as the demand difference value;

[0022] If the water temperature forecast value is less than the minimum water temperature requirement, the difference between the water temperature forecast value and the minimum water temperature requirement is used as the demand difference value;

[0023] If the water temperature prediction value is less than the maximum water temperature requirement and greater than the minimum water temperature requirement, the first difference between the maximum water temperature requirement and the water temperature prediction value and the second difference between the water temperature prediction value and the minimum water temperature requirement are calculated respectively, and the third difference between the maximum water temperature requirement and the minimum water temperature requirement is calculated. The demand difference value is determined based on the first difference, the second difference and the third difference and comprehensively.

[0024] Further, the step of comprehensively determining the demand difference value based on the first difference, the second difference, and the third difference includes:

[0025] Comparing the first difference and the second difference with the third difference respectively to obtain a first ratio and a second ratio respectively, and using the first ratio and the second ratio as weight coefficients of the first difference and the second difference respectively;

[0026] The first difference and the second difference and their corresponding weight coefficients are weightedly added to obtain a demand difference value.

[0027] Furthermore, the step of determining whether the cooling water demand difference value satisfies a preset cooling water temperature reduction condition includes:

[0028] A preset cooling water temperature difference threshold is set in advance, and judging whether the cooling water meets the preset cooling water temperature condition according to the relationship between the demand difference value and the preset cooling water temperature difference threshold;

[0029] When the demand difference value is less than the preset cooling water temperature difference threshold, it is determined that the cooling water does not meet the preset cooling water temperature condition;

[0030] When the demand difference value is greater than or equal to the preset cooling water temperature difference threshold, it is determined that the cooling water meets the preset cooling water temperature condition.

[0031] Furthermore, the cooling water temperature control strategy is formulated based on the demand difference value, including:

[0032] A demand difference value interval-cooling temperature mapping table and a demand difference value interval-cooling duration mapping table are preset. The demand difference value interval-cooling temperature correspondence relationship is associated with a corresponding cooling temperature for each demand difference value interval, and the demand difference value interval-cooling duration correspondence relationship is associated with a corresponding cooling duration for each demand difference value interval;

[0033] Obtain the demand difference value, and determine the cooling temperature and cooling time of the cooling water based on the mapping relationship between the demand difference value interval in which the demand difference value is located in the preset demand difference value interval-cooling temperature mapping table and the demand difference value interval-cooling time mapping table.

[0034] The present invention also provides a closed-loop cooling water temperature control system, comprising:

[0035] An acquisition module is used to acquire historical water temperature data of cooling water in a closed circulation system and historical operation data of the equipment to be cooled, and to pre-process the historical water temperature data and historical operation data;

[0036] A prediction module is used to establish a cooling water temperature prediction model based on the pre-processed historical water temperature data and historical operation data, and predict the cooling water temperature according to the water temperature prediction model to obtain a cooling water temperature prediction value;

[0037] A determination module is used to obtain a required range of cooling water temperature and determine a demand difference between a predicted water temperature value and the required range of cooling water temperature;

[0038] A judgment module is used to judge whether the difference in demand for cooling water meets the preset cooling water temperature drop condition;

[0039] The strategy module is used to formulate a cooling water cooling control strategy based on the demand difference value when it is determined that the demand difference value of the cooling water meets the cooling water cooling condition.

[0040] Compared with the prior art, the closed-loop cooling water temperature control method and system of the present invention have the following beneficial effects:

[0041] The present invention establishes a cooling water temperature prediction model based on historical data, and can make a relatively accurate prediction of the future water temperature based on the historical operation data and the cooling water temperature data, and can predict the cooling water temperature in real time, which helps to discover possible temperature conditions in advance;

[0042] The present invention can quantify the deviation between the cooling water temperature and the required range by calculating the demand difference between the water temperature prediction value and the water temperature required range, and help determine whether the system meets the requirements;

[0043] According to the judgment result of the demand difference value, the present invention can formulate an intelligent cooling water temperature control strategy to achieve accurate control of the cooling water temperature and improve the stability and energy efficiency of the system;

[0044] The present invention can implement a prediction-driven control strategy through analysis of water temperature prediction values ​​and demand difference values, so that the system can make corresponding adjustments when temperature changes are predicted in advance, thereby better meeting the needs of equipment or processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 1 is a schematic diagram of the flow structure of a closed-loop cooling water temperature control method according to an embodiment of the present invention;

[0046] Figure 2 It is a schematic diagram of the composition of a closed-loop cooling water temperature control system in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0048] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0049] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0050] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0051] like Figure 1 As shown, in an embodiment of the present application, a closed-loop cooling water temperature control method is provided, including: S100: acquiring historical water temperature data of cooling water in a closed-loop system and historical operation data of a device to be cooled, and preprocessing the historical water temperature data and the historical operation data; S200: establishing a water temperature prediction model for cooling water based on the preprocessed historical water temperature data and the historical operation data, and predicting the temperature of cooling water according to the water temperature prediction model to obtain a predicted water temperature value for cooling water; S300: acquiring a required water temperature range for cooling water, and determining a demand difference value between the predicted water temperature value and the required water temperature range; S400: determining whether the demand difference value for cooling water meets a preset cooling water cooling condition; S500: when determining that the demand difference value for cooling water meets the cooling water cooling condition, formulating a cooling control strategy for cooling water based on the demand difference value.

[0052] Furthermore, the present invention establishes a cooling water temperature prediction model based on historical data, and can make relatively accurate predictions of future water temperatures based on historical operating data and cooling water temperature data, and can predict the cooling water temperature in real time, which is helpful to discover possible temperature conditions in advance; the present invention can quantify the deviation between the cooling water temperature and the required range by calculating the demand difference value between the water temperature prediction value and the water temperature requirement range, and help determine whether the system meets the requirements; the present invention can formulate an intelligent cooling water cooling control strategy based on the judgment result of the demand difference value, so as to achieve precise control of the cooling water temperature and improve the stability and energy efficiency of the system; the present invention can implement a prediction-driven control strategy through analysis of the water temperature prediction value and the demand difference value, so that the system can make corresponding adjustments in advance when temperature changes are foreseen, so as to better meet the needs of equipment or processes.

[0053] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, wherein the historical water temperature data and the historical operation data are preprocessed, including: cleaning the historical water temperature data and the historical operation data, removing, deleting or correcting the erroneous values, missing values ​​and duplicate values ​​in the data; and smoothing and normalizing the cleaned data.

[0054] Specifically, the historical water temperature data and historical operation data are cleaned, and the values ​​beyond the reasonable range are detected and processed. In combination with domain knowledge and actual conditions, abnormal values ​​are corrected or marked, missing values ​​are detected and processed, and processing is performed by interpolation, filling the mean / median, using adjacent values, etc. For seriously missing data, it is necessary to consider whether to discard the corresponding records or perform other processing according to the actual situation, detect and process duplicate data records, and ensure the uniqueness and accuracy of the data; the cleaned historical water temperature data and historical operation data are smoothed and normalized. For time series data, moving average, exponential weighted moving average and other methods can be used for smoothing to reduce noise interference and highlight data trends. The data is scaled to the range of [0, 1] and normalized by subtracting the minimum value and dividing by the range (maximum value minus minimum value). Through data cleaning, smoothing and normalization, the quality and availability of historical water temperature data and historical operation data can be improved, laying a good foundation for subsequent analysis and modeling.

[0055] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, wherein a water temperature prediction model for cooling water is established based on preprocessed historical water temperature data and historical operation data, and the temperature of cooling water is predicted according to the water temperature prediction model to obtain a water temperature prediction value of cooling water, including: aligning and arranging the preprocessed historical water temperature data and historical operation data in chronological order to form a time series data set; constructing a water temperature prediction model for a closed-loop system based on the time series historical water temperature data, historical operation data and a preset neural network model; dividing the time series data set into a training set and a test set according to a certain ratio, and inputting the training set and the test set into the water temperature prediction model, training and testing the water temperature prediction model until the water temperature prediction model meets the preset convergence conditions; and performing predictions through the trained water temperature prediction model to obtain a water temperature prediction value of cooling water.

[0056] Specifically, by preprocessing the historical water temperature data and historical operation data, aligning and arranging them in chronological order, a time series data set of the closed-loop system is formed, which provides a basis for subsequent modeling and prediction; based on the time series historical water temperature data, historical operation data and the preset neural network model, a water temperature prediction model for the closed-loop system is established; the time series data set is divided into training sets and test sets according to a certain ratio, and then these data are input into the water temperature prediction model for training and testing until the model meets the preset convergence conditions, ensuring that the model can make more accurate predictions for unknown data; through the trained water temperature prediction model, the water temperature of the closed-loop system can be predicted, and the water temperature prediction value of the cooling water can be obtained accordingly. This process can predict the water temperature prediction value of the cooling water in advance to formulate corresponding cooling strategies.

[0057] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, wherein the water temperature requirement range of the cooling water is obtained and the demand difference value between the water temperature prediction value and the water temperature requirement range is determined, including: obtaining the water temperature requirement range of the cooling water, extracting the maximum water temperature requirement value and the minimum water temperature requirement value from the water temperature requirement range; respectively judging the size relationship between the water temperature prediction value and the maximum water temperature requirement value and the minimum water temperature requirement value, and determining the demand difference value between the water temperature prediction value and the water temperature requirement range; if the water temperature prediction value is greater than the maximum water temperature requirement value, then the water temperature is The difference between the maximum required value and the predicted water temperature value is taken as the demand difference value; if the predicted water temperature value is less than the minimum required water temperature value, the difference between the predicted water temperature value and the minimum required water temperature value is taken as the demand difference value; if the predicted water temperature value is less than the maximum required water temperature value and greater than the minimum required water temperature value, the first difference between the maximum required water temperature value and the predicted water temperature value and the second difference between the predicted water temperature value and the minimum required water temperature value are calculated respectively, and the third difference between the maximum required water temperature value and the minimum required water temperature value is calculated, and the demand difference value is determined based on the first difference, the second difference and the third difference and comprehensively.

[0058] Specifically, obtain the required water temperature range for cooling water, which is usually determined by operating requirements or equipment requirements, and extract the maximum and minimum required water temperature from the required water temperature range; determine the required difference between the predicted water temperature and the required water temperature range based on the relationship between the predicted water temperature and the maximum and minimum required water temperature; calculate the required difference between the predicted water temperature and the required water temperature range based on the judgment conditions, including: if the predicted water temperature is greater than the maximum required water temperature, use the difference between the maximum required water temperature and the predicted water temperature as the required difference; if the predicted water temperature is less than the minimum required water temperature, use the difference between the predicted water temperature and the minimum required water temperature as the required difference; if the predicted water temperature is within the required water temperature range, calculate the first difference between the maximum required water temperature and the predicted water temperature, and the second difference between the predicted water temperature and the minimum required water temperature, and calculate the third difference between the maximum required water temperature and the minimum required water temperature, and determine the required difference based on the first, second, and third differences.

[0059] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, which is based on a first difference, a second difference, a third difference and a comprehensive determination of a demand difference value, including: comparing the first difference and the second difference with the third difference, respectively, to obtain a first ratio and a second ratio, respectively, and using the first ratio and the second ratio as weight coefficients of the first difference and the second difference, respectively; performing weighted addition calculation on the first difference and the second difference and their corresponding weight coefficients to obtain the demand difference value.

[0060] Specifically, the first difference and the second difference are compared with the third difference to obtain the first ratio and the second ratio, and the first ratio and the second ratio are used as the weight coefficients of the first difference and the second difference, respectively. These weight coefficients can reflect the influence of the first difference and the second difference on the overall demand difference value; the first difference and the second difference and their corresponding weight coefficients are weighted and added to obtain the final demand difference value, which will comprehensively consider the size of the first difference and the second difference and their weight coefficients, so as to more comprehensively evaluate the difference between the water temperature prediction value and the water temperature requirement range. In this way, the difference between the system water temperature and the required range can be quantified more finely, which helps operators to more accurately evaluate the operating status of the system and take corresponding measures.

[0061] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, and the method for judging whether the demand difference value of the cooling water meets the set preset cooling water cooling condition includes: a pre-set preset cooling water cooling difference threshold, and judging whether the cooling water meets the set preset cooling water cooling condition based on the relationship between the demand difference value and the preset cooling water cooling difference threshold; when the demand difference value is less than the preset cooling water cooling difference threshold, it is judged that the cooling water does not meet the set preset cooling water cooling condition; when the demand difference value is greater than or equal to the preset cooling water cooling difference threshold, it is judged that the cooling water meets the set preset cooling water cooling condition.

[0062] Specifically, a preset cooling water cooling difference threshold is pre-set, and this threshold is usually determined by the system operation requirements or equipment requirements; whether the cooling water meets the set preset cooling water cooling conditions is judged based on the relationship between the demand difference value and the preset cooling water cooling difference threshold; when the demand difference value is less than the preset cooling water cooling difference threshold, it can be judged that the cooling water does not meet the set preset cooling water cooling conditions; when the demand difference value is greater than or equal to the preset cooling water cooling difference threshold, it can be judged that the cooling water meets the set preset cooling water cooling conditions.

[0063] In an embodiment of the present application, a closed-loop cooling water temperature control method is provided, wherein a cooling water cooling control strategy is formulated based on a demand difference value, including: a demand difference value interval-cooling temperature mapping table and a demand difference value interval-cooling duration mapping table are preset, and a corresponding cooling temperature is associated with each demand difference value interval in the demand difference value interval-cooling temperature correspondence, and a corresponding cooling duration is associated with each demand difference value interval in the demand difference value interval-cooling duration correspondence; the demand difference value is obtained, and the cooling temperature and cooling duration of the cooling water are determined based on a mapping relationship between the demand difference value interval in which the demand difference value is located in the preset demand difference value interval-cooling temperature mapping table and the demand difference value interval-cooling duration mapping table.

[0064] Specifically, there are preset demand difference value interval-cooling temperature mapping table and demand difference value interval-cooling duration mapping table; according to the corresponding relationship of the demand difference value interval in the mapping table, the mapping relationship in the preset demand difference value interval-cooling temperature mapping table and demand difference value interval-cooling duration mapping table is determined to determine the cooling temperature and cooling duration of the cooling water, specifically, in the demand difference value interval-cooling temperature mapping table, according to the demand difference value interval in which the demand difference value is located, the corresponding cooling water cooling temperature is determined; in the demand difference value interval-cooling duration mapping table, according to the demand difference value interval in which the demand difference value is located, the corresponding cooling water cooling duration is determined. Through such a mapping relationship, the cooling water cooling processing parameters can be determined according to the actual demand difference value, so as to perform refined cooling processing according to the actual situation to meet the working requirements of the system.

[0065] like Figure 2 As shown, in an embodiment of the present application, a closed-loop cooling water temperature control system is provided, including: an acquisition module, used to acquire historical water temperature data of cooling water in a closed-loop system and historical operation data of a device to be cooled, and to preprocess the historical water temperature data and the historical operation data; a prediction module, used to establish a water temperature prediction model for cooling water based on the preprocessed historical water temperature data and the historical operation data, and to predict the temperature of cooling water according to the water temperature prediction model to obtain a predicted water temperature value of cooling water; a determination module, used to acquire a required water temperature range for cooling water, and to determine a demand difference value between the predicted water temperature value and the required water temperature range; a judgment module, used to judge whether the demand difference value for cooling water meets a set preset cooling water cooling condition; a strategy module, used to formulate a cooling control strategy for cooling water based on the demand difference value when it is judged that the demand difference value for cooling water meets the cooling water cooling condition.

[0066] In summary, the embodiment of the present invention provides a closed-loop cooling water temperature control method and system, which includes: obtaining and preprocessing historical water temperature data of cooling water and historical operation data of the equipment to be cooled; establishing a water temperature prediction model for cooling water based on the preprocessed historical water temperature data and historical operation data, and predicting the temperature of cooling water based on the model to obtain the predicted water temperature value of cooling water; obtaining the required water temperature range of cooling water, determining the demand difference value between the predicted water temperature value and the predicted water temperature value; judging whether the demand difference value of cooling water meets the preset cooling water cooling conditions; when judging that the cooling water cooling conditions are met, formulating a cooling control strategy for cooling water based on the demand difference value. The present invention analyzes the predicted water temperature value and the demand difference value, so that the system can formulate an intelligent cooling water cooling control strategy when the temperature change is predicted in advance, realizes precise control of the cooling water temperature, improves the stability of the system, and thus better meets the needs of equipment or processes.

[0067] Finally, it should be noted that it is obvious that 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 equivalents, the present invention is also intended to include these modifications and variations.

[0068] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0069] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0070] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings, but it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0071] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A closed-loop cooling water temperature control method, characterized in that: include: Obtain historical water temperature data of cooling water in the closed circulation system and historical operation data of the equipment to be cooled, and pre-process the historical water temperature data and historical operation data; A cooling water temperature prediction model is established based on the pre-processed historical water temperature data and historical operation data, and the cooling water temperature is predicted according to the water temperature prediction model to obtain a cooling water temperature prediction value; Obtain the required range of cooling water temperature and determine the demand difference between the predicted water temperature and the required range of water temperature; Determine whether the cooling water demand difference value meets the preset cooling water temperature drop condition; When it is determined that the demand difference value of the cooling water meets the cooling water temperature reduction condition, a cooling water temperature reduction control strategy is formulated based on the demand difference value.

2. A closed-loop cooling water temperature control method according to claim 1, characterized in that: The preprocessing of the historical water temperature data and the historical operation data includes: Clean the historical water temperature data and historical operation data to remove or modify the erroneous values, missing values, and duplicate values ​​in the data; The cleaned data are smoothed and normalized.

3. A closed-loop cooling water temperature control method according to claim 2, characterized in that: The method of establishing a cooling water temperature prediction model based on the pre-processed historical water temperature data and historical operation data, and predicting the temperature of the cooling water according to the water temperature prediction model to obtain a cooling water temperature prediction value includes: The pre-processed historical water temperature data and historical operation data are aligned and arranged in chronological order to form a time series data set; Construct a water temperature prediction model for a closed-loop system based on time-series historical water temperature data, historical operation data, and a preset neural network model; The time series data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the water temperature prediction model to train and test the water temperature prediction model until the water temperature prediction model meets the preset convergence conditions; The trained water temperature prediction model is used to make predictions to obtain the predicted value of cooling water temperature.

4. A closed-loop cooling water temperature control method according to claim 3, characterized in that: The step of obtaining the required range of cooling water temperature and determining the demand difference between the predicted water temperature value and the required range of cooling water temperature includes: Obtain the required water temperature range of cooling water, and extract the maximum required water temperature value and the minimum required water temperature value from the required water temperature range; Determine the magnitude relationship between the water temperature prediction value and the maximum water temperature requirement and the minimum water temperature requirement, and determine the demand difference value between the water temperature prediction value and the water temperature requirement range; If the predicted water temperature value is greater than the maximum water temperature requirement, the difference between the maximum water temperature requirement and the predicted water temperature value is taken as the demand difference value; If the water temperature forecast value is less than the minimum water temperature requirement, the difference between the water temperature forecast value and the minimum water temperature requirement is used as the demand difference value; If the water temperature prediction value is less than the maximum water temperature requirement and greater than the minimum water temperature requirement, the first difference between the maximum water temperature requirement and the water temperature prediction value and the second difference between the water temperature prediction value and the minimum water temperature requirement are calculated respectively, and the third difference between the maximum water temperature requirement and the minimum water temperature requirement is calculated. The demand difference value is determined based on the first difference, the second difference and the third difference and comprehensively.

5. A closed-loop cooling water temperature control method according to claim 4, characterized in that: The step of comprehensively determining the demand difference value based on the first difference, the second difference, and the third difference includes: Comparing the first difference and the second difference with the third difference respectively to obtain a first ratio and a second ratio respectively, and using the first ratio and the second ratio as weight coefficients of the first difference and the second difference respectively; The first difference and the second difference and their corresponding weight coefficients are weightedly added to obtain a demand difference value.

6. A closed-loop cooling water temperature control method according to claim 4, characterized in that: The step of determining whether the cooling water demand difference value satisfies the preset cooling water temperature reduction condition includes: A preset cooling water temperature difference threshold is set in advance, and judging whether the cooling water meets the preset cooling water temperature condition according to the relationship between the demand difference value and the preset cooling water temperature difference threshold; When the demand difference value is less than the preset cooling water temperature difference threshold, it is determined that the cooling water does not meet the preset cooling water temperature condition; When the demand difference value is greater than or equal to the preset cooling water temperature difference threshold, it is determined that the cooling water meets the preset cooling water temperature condition.

7. A closed-loop cooling water temperature control method according to claim 6, characterized in that: The cooling water temperature control strategy is formulated based on the demand difference value, including: A demand difference value interval-cooling temperature mapping table and a demand difference value interval-cooling duration mapping table are preset. The demand difference value interval-cooling temperature correspondence relationship is associated with a corresponding cooling temperature for each demand difference value interval, and the demand difference value interval-cooling duration correspondence relationship is associated with a corresponding cooling duration for each demand difference value interval; Obtain the demand difference value, and determine the cooling temperature and cooling time of the cooling water based on the mapping relationship between the demand difference value interval in which the demand difference value is located in the preset demand difference value interval-cooling temperature mapping table and the demand difference value interval-cooling time mapping table.

8. A closed-loop cooling water temperature control system, characterized in that: include: An acquisition module is used to acquire historical water temperature data of cooling water in a closed circulation system and historical operation data of the equipment to be cooled, and to pre-process the historical water temperature data and historical operation data; A prediction module is used to establish a cooling water temperature prediction model based on the pre-processed historical water temperature data and historical operation data, and predict the cooling water temperature according to the water temperature prediction model to obtain a cooling water temperature prediction value; A determination module is used to obtain a required range of cooling water temperature and determine a demand difference between a predicted water temperature value and the required range of cooling water temperature; A judgment module is used to judge whether the difference in demand for cooling water meets the preset cooling water temperature drop condition; The strategy module is used to formulate a cooling water cooling control strategy based on the demand difference value when it is determined that the demand difference value of the cooling water meets the cooling water cooling condition.

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