A circulating cooling water intelligent control system and method based on the Internet of Things

Abstract

The present invention provides an intelligent control system and method for circulating cooling water based on the Internet of Things, which relates to the technical field of cooling water control. The system comprises: pre-deploying sensors to monitor circulating cooling water equipment in real time, acquiring circulating cooling water data and transmitting the data to an Internet of Things platform; performing data analysis to determine the operating status and divide the circulating cooling water areas, and determining the current distribution data of the circulating cooling water in combination with the data analysis results; acquiring the control distribution data of the circulating cooling water, constructing an intelligent control model for the circulating cooling water, outputting the current control data of the circulating cooling water according to the intelligent control strategy of the circulating cooling water and the current distribution data of the circulating cooling water, and performing intelligent control of the circulating cooling water; establishing a circulating cooling water control feedback mechanism, and performing periodic feedback control optimization on the intelligent control of the circulating cooling water, thereby realizing intelligent control of the circulating cooling water.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling water control, and in particular to an intelligent control system and method for circulating cooling water based on the Internet of Things. Background Art

[0002] With the continuous development of science and technology, the application fields of circulating cooling water equipment are becoming more and more extensive. In order to ensure the stable operation of circulating cooling water equipment during operation, it is usually necessary to control the temperature, flow and pressure of the circulating cooling water. However, a large amount of data will be generated during the operation of circulating cooling water equipment, and the existing control technology mainly performs overall control, with low control quality and efficiency.

[0003] Therefore, the present invention provides an intelligent control system and method for circulating cooling water based on the Internet of Things. Summary of the Invention

[0004] The present invention provides an intelligent control system and method for circulating cooling water based on the Internet of Things. The system monitors circulating cooling water equipment in real time through pre-deployed sensors, obtains circulating cooling water data and transmits it to an Internet of Things platform. The system performs data analysis to determine the operating status of the circulating cooling water equipment, divides the circulating cooling water into areas, and determines the current distribution data of the circulating cooling water based on the data analysis results. The control distribution data of the circulating cooling water is obtained according to the control requirements of the circulating cooling water, and an intelligent control model for the circulating cooling water is constructed. The current control data of the circulating cooling water is output according to the intelligent control strategy of the circulating cooling water and the current distribution data of the circulating cooling water, and the circulating cooling water is intelligently controlled. A circulating cooling water control feedback mechanism is established, and periodic feedback control optimization of the circulating cooling water intelligent control is performed according to the intelligent control feedback data of the circulating cooling water, thereby realizing intelligent control of the circulating cooling water.

[0005] The present invention provides an intelligent control system for circulating cooling water based on the Internet of Things, comprising:

[0006] The sensor deployment module is used to pre-deploy sensors to monitor circulating cooling water equipment in real time, obtain circulating cooling water data, and transmit it to the IoT platform;

[0007] The circulating cooling water distribution module is used to analyze the circulating cooling water data transmitted to the IoT platform, determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results;

[0008] The intelligent control module is used to obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water;

[0009] The control feedback module is used to establish a circulating cooling water control feedback mechanism and perform periodic feedback control optimization on the circulating cooling water intelligent control strategy based on the circulating cooling water intelligent control feedback data.

[0010] According to the present invention, a circulating cooling water intelligent control system based on the Internet of Things and a sensor deployment module are provided, including:

[0011] A sensor selection unit, configured to select a sensor type according to circulating cooling water control requirements, wherein the circulating cooling water control requirements include: temperature control requirements, flow control requirements, and pressure control requirements;

[0012] A sensor deployment unit is used to obtain the equipment layout of the circulating cooling water equipment, determine the flow path of the circulating cooling water, set the flow nodes of the circulating cooling water, and pre-deploy sensors at the flow nodes of the circulating cooling water. The pre-deployed sensors include: temperature sensors, flow sensors, and pressure sensors;

[0013] The data transmission unit is used to monitor the circulating cooling water equipment in real time based on pre-deployed sensors, obtain circulating cooling water data and transmit it to the Internet of Things platform. The circulating cooling water data includes: circulating cooling water temperature data, circulating cooling water flow data and circulating cooling water pressure data.

[0014] According to the present invention, a circulating cooling water intelligent control system based on the Internet of Things, a circulating cooling water distribution module, includes:

[0015] A data analysis unit, used for pre-processing the circulating cooling water data transmitted to the IoT platform;

[0016] The circulating cooling water data after data preprocessing is stored in the Internet of Things platform according to the transmission time sequence. The data is extracted and analyzed according to the circulating cooling water data type to determine the operating status of the circulating cooling water equipment. The circulating cooling water data type includes: temperature data type, flow data type, and pressure data type;

[0017] An operating status unit is used to obtain normal operating parameter data of the circulating cooling water equipment and determine a circulating cooling water data range when the circulating cooling water equipment is in a normal operating state, which is recorded as a normal circulating cooling water data range;

[0018] When the data analysis results show that the circulating cooling water data are all within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in normal operating state;

[0019] When the data analysis results show that the circulating cooling water data is not within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in an abnormal operating state;

[0020] The circulating cooling water distribution unit is used to divide the circulating cooling water area and determine the current distribution data of the circulating cooling water in combination with the data analysis results.

[0021] According to the present invention, a circulating cooling water intelligent control system based on the Internet of Things is provided, and the circulating cooling water distribution unit includes:

[0022] The area division block is used to set the circulating cooling water area, divide the circulating cooling water area according to the equipment layout of the circulating cooling water equipment, and determine the circulating cooling water sub-areas;

[0023] The circulating cooling water distribution block is used to match the circulating cooling water sub-area with the data analysis results, obtain the operating status of the circulating cooling water sub-area and the circulating cooling water data, and determine the current distribution data of the circulating cooling water.

[0024] According to the present invention, an intelligent control system for circulating cooling water based on the Internet of Things, an intelligent control module, includes:

[0025] A control distribution unit, used for obtaining control distribution data of circulating cooling water according to circulating cooling water control requirements;

[0026] A model building unit is used to select a preset model, build a circulating cooling water intelligent control model, and perform model training on the circulating cooling water intelligent control model based on historical circulating cooling water data;

[0027] A control strategy unit, configured to determine a control difference value of current circulating cooling water data according to current distribution data of the circulating cooling water and control distribution data of the circulating cooling water;

[0028] A control threshold is set according to historical circulating cooling water data, and when the control difference is not lower than the control threshold, the corresponding control difference is marked as a large control difference;

[0029] When the control difference is lower than the control threshold, the corresponding control difference is marked as a small control difference;

[0030] Obtaining a circulating cooling water intelligent control strategy, matching the circulating cooling water intelligent control strategy to the current circulating cooling water data based on the control difference marking result, matching the current circulating cooling water data corresponding to a small control difference to the predictive control strategy, and matching the current circulating cooling water data corresponding to a large control difference to the real-time control strategy, wherein the circulating cooling water intelligent control strategy includes: a real-time control strategy and a predictive control strategy;

[0031] Obtaining the operating state of the circulating cooling water equipment corresponding to the current circulating cooling water data of the primary matching predictive control strategy, and maintaining the primary matching when the operating state of the corresponding circulating cooling water equipment is a normal operating state;

[0032] When the operating status of the corresponding circulating cooling water equipment is abnormal, secondary matching is performed and the real-time control strategy is switched;

[0033] An intelligent control unit is used to apply the circulating cooling water intelligent control strategy, input the control difference of the current circulating cooling water data into the circulating cooling water intelligent control model that has been trained, and output the current control data of the circulating cooling water;

[0034] Wherein, ui1 represents the current control data of the circulating cooling water of the i1th flow node; xi1 represents the current distribution data of the circulating cooling water of the i1th flow node; yi1 represents the control distribution data of the circulating cooling water of the i1th flow node; (yi1-xi1) represents the control difference of the current circulating cooling water data of the i1th flow node; t1 represents the current control period of the circulating cooling water; represents the cumulative control error of the circulating cooling water at the i1th flow node; represents the instantaneous control error of the circulating cooling water at the i1th flow node; a1 represents the cumulative error control parameter of the circulating cooling water intelligent control model after model training; a2 represents the instantaneous error control parameter of the circulating cooling water intelligent control model after model training; n1 represents the number of flow nodes of the circulating cooling water;

[0035] Generate control instructions based on the current control data of the circulating cooling water to perform intelligent control of the circulating cooling water.

[0036] According to the present invention, a circulating cooling water intelligent control system based on the Internet of Things is provided, and the control feedback module includes:

[0037] A control feedback unit is used to establish a circulating cooling water control feedback mechanism according to the circulating cooling water control demand, and set control performance evaluation indicators to control and evaluate the circulating cooling water control effect, wherein the control performance evaluation indicators include: temperature control performance evaluation indicators, flow control performance evaluation indicators, and pressure control performance evaluation indicators;

[0038] Generate circulating cooling water intelligent control feedback data based on the control evaluation results, set the feedback cycle, and optimize the periodic feedback control of the circulating cooling water intelligent control strategy.

[0039] According to the present invention, an intelligent control system for circulating cooling water based on the Internet of Things is provided, further comprising:

[0040] Control visual module, used to visualize the intelligent control process of circulating cooling water;

[0041] The control alarm module is used to set the circulating cooling water data threshold. When the monitored circulating cooling water data exceeds the circulating cooling water data threshold, the corresponding circulating cooling water equipment is determined to be faulty and fault alarm data is automatically generated.

[0042] The present invention provides an intelligent control method for circulating cooling water based on the Internet of Things, comprising:

[0043] Step 1: Monitor the circulating cooling water equipment in real time, obtain circulating cooling water data and transmit it to the IoT platform;

[0044] Step 2: Analyze the circulating cooling water data transmitted to the IoT platform to determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results;

[0045] Step 3: Obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water;

[0046] Step 4: Establish a circulating cooling water control feedback mechanism and perform periodic feedback control optimization on the circulating cooling water intelligent control strategy based on the circulating cooling water intelligent control feedback data.

[0047] Compared with the prior art, the present invention has the following advantages:

[0048] Through pre-deployed sensors, circulating cooling water equipment is monitored in real time, circulating cooling water data is obtained and transmitted to the Internet of Things platform; data analysis is performed to determine the operating status and divide the circulating cooling water areas, and the current distribution data of the circulating cooling water is determined based on the data analysis results; the control distribution data of the circulating cooling water is obtained, and a circulating cooling water intelligent control model is constructed. According to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, the current control data of the circulating cooling water is output, and the circulating cooling water is intelligently controlled; a circulating cooling water control feedback mechanism is established, and periodic feedback control optimization of the circulating cooling water intelligent control is performed, thus realizing intelligent control of the circulating cooling water.

[0049] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 This is a schematic structural diagram of an IoT-based circulating cooling water intelligent control system provided by an embodiment of the present invention;

[0053] Figure 2 This is a flow chart of an intelligent control system for circulating cooling water based on the Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0055] Example 1:

[0056] The embodiment of the present invention provides an intelligent control system for circulating cooling water based on the Internet of Things, such as Figure 1 As shown, including:

[0057] The sensor deployment module is used to pre-deploy sensors to monitor circulating cooling water equipment in real time, obtain circulating cooling water data, and transmit it to the IoT platform;

[0058] The circulating cooling water distribution module is used to analyze the circulating cooling water data transmitted to the IoT platform, determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results;

[0059] The intelligent control module is used to obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water;

[0060] The control feedback module is used to establish a circulating cooling water control feedback mechanism and perform periodic feedback control optimization on the circulating cooling water intelligent control strategy based on the circulating cooling water intelligent control feedback data.

[0061] In this embodiment, the pre-deployed sensors include: a temperature sensor, a flow sensor, and a pressure sensor.

[0062] In this embodiment, the circulating cooling water equipment refers to equipment that uses water as a cooling medium and circulates, and mainly includes: a cooling device, a water pump, and a circulation pipeline.

[0063] In this embodiment, the circulating cooling water data refers to data generated during the operation of the circulating cooling water equipment, including temperature data, pressure data, and flow data.

[0064] In this embodiment, the Internet of Things platform refers to a platform that performs data analysis and processing on circulating cooling water based on the Internet of Things.

[0065] In this embodiment, the operating state of the circulating cooling water equipment includes: a normal operating state and an abnormal operating state.

[0066] In this embodiment, the circulating cooling water area refers to the working area of ​​the circulating cooling water, including all equipment layouts of the circulating cooling water equipment, including the cooling device sub-area, water pump sub-area and circulating pipe sub-area, to facilitate subsequent intelligent control of the circulating cooling water.

[0067] In this embodiment, the current distribution data of the circulating cooling water refers to the operating status, temperature distribution, pressure distribution, and flow distribution of the circulating cooling water equipment at the current moment.

[0068] In this embodiment, the circulating cooling water control requirement refers to a control requirement for ensuring stable operation of the circulating cooling water, such as a temperature control requirement, a flow control requirement, and a pressure control requirement.

[0069] In this embodiment, the control distribution data of the circulating cooling water refers to the data required for intelligent control of the circulating cooling water, for example, the control distribution data a1 of the circulating cooling water. When the current distribution data of the circulating cooling water reaches a1, the circulating cooling water equipment operates stably.

[0070] In this embodiment, the circulating cooling water intelligent control model refers to a model for intelligently controlling the circulating cooling water.

[0071] In this embodiment, the circulating cooling water intelligent control strategy refers to a strategy for implementing the intelligent control of the circulating cooling water, including: a real-time control strategy and a predictive control strategy.

[0072] In this embodiment, the current control data of the circulating cooling water refers to the data that realizes the control of the current distribution data of the circulating cooling water to the control distribution data. For example, the current control data a2 of the circulating cooling water is output so that the current distribution data a3 of the circulating cooling water is controlled to the control distribution data a1 of the circulating cooling water.

[0073] In this embodiment, the circulating cooling water feedback mechanism refers to a mechanism for performing control feedback on the circulating cooling water, for example, generating circulating cooling water intelligent control feedback data and performing periodic feedback control optimization on the circulating cooling water intelligent control.

[0074] In this embodiment, the circulating cooling water intelligent control feedback data refers to data used for the intelligent control of the circulating cooling water cycle.

[0075] The working principle and beneficial effects of the above technical solution are: through pre-deployed sensors, the circulating cooling water equipment is monitored in real time, the circulating cooling water data is obtained and transmitted to the Internet of Things platform; data analysis is performed to determine the operating status and divide the circulating cooling water area, and the current distribution data of the circulating cooling water is determined in combination with the data analysis results; the control distribution data of the circulating cooling water is obtained, and a circulating cooling water intelligent control model is constructed. According to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, the current control data of the circulating cooling water is output, and the circulating cooling water is intelligently controlled; a circulating cooling water control feedback mechanism is established, and the intelligent control of the circulating cooling water is optimized through periodic feedback control; and intelligent control of the circulating cooling water is realized.

[0076] Example 2:

[0077] The embodiment of the present invention provides an Internet of Things-based circulating cooling water intelligent control system and a sensor deployment module, including:

[0078] A sensor selection unit, configured to select a sensor type according to circulating cooling water control requirements, wherein the circulating cooling water control requirements include: temperature control requirements, flow control requirements, and pressure control requirements;

[0079] A sensor deployment unit is used to obtain the equipment layout of the circulating cooling water equipment, determine the flow path of the circulating cooling water, set the flow nodes of the circulating cooling water, and pre-deploy sensors at the flow nodes of the circulating cooling water. The pre-deployed sensors include: temperature sensors, flow sensors, and pressure sensors;

[0080] The data transmission unit is used to monitor the circulating cooling water equipment in real time based on pre-deployed sensors, obtain circulating cooling water data and transmit it to the Internet of Things platform. The circulating cooling water data includes: circulating cooling water temperature data, circulating cooling water flow data and circulating cooling water pressure data.

[0081] In this embodiment, the sensor type is determined according to the circulating cooling water control requirement. For example, if the temperature control requirement is required, a temperature sensor is selected.

[0082] In this embodiment, the flow path of the circulating cooling water refers to the path of the circulating cooling water during operation, for example, a1-a2-a3, where a1, a2, and a3 represent flow nodes of the circulating cooling water.

[0083] In this embodiment, the flow node of the circulating cooling water refers to a node used to divide the flow path of the circulating cooling water. For example, a change in the flow path of the circulating cooling water, such as a turning position, is set as a flow node of the circulating cooling water.

[0084] In this embodiment, the Internet of Things platform refers to a platform that performs data analysis and processing on circulating cooling water data based on the Internet of Things.

[0085] The working principle and beneficial effects of the above technical solution are: through pre-deployed sensors, circulating cooling water equipment is monitored in real time, circulating cooling water data is obtained and transmitted to the Internet of Things platform, laying a data foundation for subsequent intelligent control of circulating cooling water.

[0086] Example 3:

[0087] The embodiment of the present invention provides an Internet of Things-based circulating cooling water intelligent control system, a circulating cooling water distribution module, including:

[0088] A data analysis unit, used for pre-processing the circulating cooling water data transmitted to the IoT platform;

[0089] The circulating cooling water data after data preprocessing is stored in the Internet of Things platform according to the transmission time sequence. The data is extracted and analyzed according to the circulating cooling water data type to determine the operating status of the circulating cooling water equipment. The circulating cooling water data type includes: temperature data type, flow data type, and pressure data type;

[0090] An operating status unit is used to obtain normal operating parameter data of the circulating cooling water equipment and determine a circulating cooling water data range when the circulating cooling water equipment is in a normal operating state, which is recorded as a normal circulating cooling water data range;

[0091] When the data analysis results show that the circulating cooling water data are all within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in normal operating state;

[0092] When the data analysis results show that the circulating cooling water data is not within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in an abnormal operating state;

[0093] The circulating cooling water distribution unit is used to divide the circulating cooling water area and determine the current distribution data of the circulating cooling water in combination with the data analysis results.

[0094] In this embodiment, data preprocessing includes: data cleaning and data standardization processing, wherein data cleaning is used to eliminate abnormal data and missing data; data standardization processing is used to unify the data format.

[0095] In this embodiment, the circulating cooling water data after data preprocessing is stored in the Internet of Things platform according to the transmission sequence. For example, the data with a unified transmission sequence is stored together to facilitate subsequent data analysis.

[0096] In this embodiment, data is extracted and analyzed according to the type of circulating cooling water data. For example, temperature data is extracted and analyzed.

[0097] In this embodiment, the normal operating parameter data of the circulating cooling water equipment refers to data when the circulating cooling water equipment is in a normal operating state, such as the normal operating temperature parameter data a1.

[0098] In this embodiment, the circulating cooling water data range when the circulating cooling water equipment is in normal operation refers to a data range consisting of normal operating parameter data of the circulating cooling water equipment, for example, the temperature data range (a1, a2).

[0099] In this embodiment, the current distribution data of the circulating cooling water refers to the operating status, temperature distribution, pressure distribution and flow distribution of the circulating cooling water equipment at the current moment. For example, the temperature data a2 of the circulating cooling water area b1 is in a normal operating state.

[0100] The working principle and beneficial effects of the above technical solution are: by analyzing the circulating cooling water data transmitted to the Internet of Things platform, determining the operating status of the circulating cooling water equipment and dividing the circulating cooling water areas, it is conducive to the subsequent precise control of the circulating cooling water and improving the control quality.

[0101] Example 4:

[0102] The embodiment of the present invention provides an intelligent control system for circulating cooling water based on the Internet of Things, and a circulating cooling water distribution unit, including:

[0103] The area division block is used to set the circulating cooling water area, divide the circulating cooling water area according to the equipment layout of the circulating cooling water equipment, and determine the circulating cooling water sub-areas;

[0104] The circulating cooling water distribution block is used to match the circulating cooling water sub-area with the data analysis results, obtain the operating status of the circulating cooling water sub-area and the circulating cooling water data, and determine the current distribution data of the circulating cooling water.

[0105] In this embodiment, the circulating cooling water area refers to the working area of ​​the circulating cooling water, including all equipment layouts of the circulating cooling water equipment.

[0106] In this embodiment, the circulating cooling water sub-area refers to an area divided according to the equipment layout of the circulating cooling water equipment, such as a cooling device sub-area, a water pump sub-area, and a circulating pipe sub-area.

[0107] In this embodiment, the circulating cooling water sub-area is matched with the data analysis results, the operating status of the circulating cooling water sub-area and the circulating cooling water data are obtained, and the current distribution data of the circulating cooling water is determined. For example, the temperature data a2 of the circulating cooling water b1 area is in a normal operating state.

[0108] The working principle and beneficial effects of the above technical solution are: by determining the circulating cooling water sub-area and matching it with the data analysis results, the current distribution data of the circulating cooling water is determined, which is conducive to the subsequent intelligent control of the circulating cooling water.

[0109] Example 5:

[0110] The embodiment of the present invention provides an intelligent control system for circulating cooling water based on the Internet of Things, including an intelligent control module, comprising:

[0111] A control distribution unit, used for obtaining control distribution data of circulating cooling water according to circulating cooling water control requirements;

[0112] A model building unit is used to select a preset model, build a circulating cooling water intelligent control model, and perform model training on the circulating cooling water intelligent control model based on historical circulating cooling water data;

[0113] A control strategy unit, configured to determine a control difference value of current circulating cooling water data according to current distribution data of the circulating cooling water and control distribution data of the circulating cooling water;

[0114] A control threshold is set according to historical circulating cooling water data, and when the control difference is not lower than the control threshold, the corresponding control difference is marked as a large control difference;

[0115] When the control difference is lower than the control threshold, the corresponding control difference is marked as a small control difference;

[0116] Obtaining a circulating cooling water intelligent control strategy, matching the circulating cooling water intelligent control strategy to the current circulating cooling water data based on the control difference marking result, matching the current circulating cooling water data corresponding to a small control difference to the predictive control strategy, and matching the current circulating cooling water data corresponding to a large control difference to the real-time control strategy, wherein the circulating cooling water intelligent control strategy includes: a real-time control strategy and a predictive control strategy;

[0117] Obtaining the operating state of the circulating cooling water equipment corresponding to the current circulating cooling water data of the primary matching predictive control strategy, and maintaining the primary matching when the operating state of the corresponding circulating cooling water equipment is a normal operating state;

[0118] When the operating status of the corresponding circulating cooling water equipment is abnormal, secondary matching is performed and the real-time control strategy is switched;

[0119] An intelligent control unit is used to apply the circulating cooling water intelligent control strategy, input the control difference of the current circulating cooling water data into the circulating cooling water intelligent control model that has been trained, and output the current control data of the circulating cooling water;

[0120] Wherein, ui1 represents the current control data of the circulating cooling water of the i1th flow node; xi1 represents the current distribution data of the circulating cooling water of the i1th flow node; yi1 represents the control distribution data of the circulating cooling water of the i1th flow node; (yi1-xi1) represents the control difference of the current circulating cooling water data of the i1th flow node; t1 represents the current control period of the circulating cooling water; represents the cumulative control error of the circulating cooling water at the i1th flow node; represents the instantaneous control error of the circulating cooling water at the i1th flow node; a1 represents the cumulative error control parameter of the circulating cooling water intelligent control model after model training; a2 represents the instantaneous error control parameter of the circulating cooling water intelligent control model after model training; n1 represents the number of flow nodes of the circulating cooling water;

[0121] Generate control instructions based on the current control data of the circulating cooling water to perform intelligent control of the circulating cooling water.

[0122] In this embodiment, the control distribution data of the circulating cooling water is acquired according to the control demand of the circulating cooling water, for example, the control distribution data a1 of the circulating cooling water, that is, the current distribution data of the circulating cooling water is controlled to a1.

[0123] In this embodiment, the preset models include: a neural network model and a regression model.

[0124] In this embodiment, the historical circulating cooling water data refers to the circulating cooling water data obtained in the historical process.

[0125] In this embodiment, the control difference of the current circulating cooling water data refers to the data difference between the current distribution data of the circulating cooling water and the control distribution data of the circulating cooling water. For example, the current distribution data of the circulating cooling water is a2, and the control distribution data of the circulating cooling water is a1, then the control difference of the current circulating cooling water data is a1-a2.

[0126] In this embodiment, a control threshold is set based on historical circulating cooling water data, where the control threshold refers to the control value of the circulating cooling water that needs to be intelligently controlled at the current moment, for example, the control threshold a3. If the control difference of the current circulating cooling water data exceeds the control threshold a3, intelligent control is performed in the current cycle.

[0127] In this embodiment, the large control difference refers to a control difference that is not lower than the control threshold; the small control difference refers to a control difference that is lower than the control threshold.

[0128] In this embodiment, the larger the control difference is, the priority is given to the intelligent control of the circulating cooling water.

[0129] In this embodiment, the circulating cooling water intelligent control strategy refers to a strategy for intelligent control of the circulating cooling water.

[0130] In this embodiment, the real-time control strategy refers to a strategy implemented on the circulating cooling water in the current cycle; the predictive control strategy refers to a strategy implemented in the future cycle.

[0131] In this embodiment, one-time matching refers to the operation of matching the current circulating cooling water data with the circulating cooling water intelligent control strategy. For example, the current circulating cooling water data corresponding to the small control difference is matched with the predictive control strategy once, and the current circulating cooling water data corresponding to the large control difference is matched with the real-time control strategy once.

[0132] In this embodiment, secondary matching refers to the operation of switching the real-time control strategy to ensure timely intelligent control of the circulating cooling water.

[0133] In this embodiment, the control instruction refers to an instruction for realizing intelligent control of circulating cooling water.

[0134] The working principle and beneficial effects of the above technical solution are: obtaining the control distribution data of circulating cooling water according to the circulating cooling water control requirements, constructing a circulating cooling water intelligent control model, outputting the current control data of circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of circulating cooling water, thereby realizing intelligent control of circulating cooling water.

[0135] Example 6:

[0136] The embodiment of the present invention provides an intelligent control system for circulating cooling water based on the Internet of Things, including a control feedback module, comprising:

[0137] A control feedback unit is used to establish a circulating cooling water control feedback mechanism according to the circulating cooling water control demand, and set control performance evaluation indicators to control and evaluate the circulating cooling water control effect, wherein the control performance evaluation indicators include: temperature control performance evaluation indicators, flow control performance evaluation indicators, and pressure control performance evaluation indicators;

[0138] Generate circulating cooling water intelligent control feedback data based on the control evaluation results, set the feedback cycle, and optimize the periodic feedback control of the circulating cooling water intelligent control.

[0139] In this embodiment, a control performance evaluation index is set to perform control evaluation on the circulating cooling water control effect, for example, to evaluate temperature control.

[0140] In this embodiment, a feedback cycle is set, for example, feedback cycle t1, that is, the circulating cooling water intelligent control is optimized by periodic feedback control according to the circulating cooling water intelligent control feedback data at every time t1.

[0141] The working principle and beneficial effects of the above technical solution are: by establishing a circulating cooling water control feedback mechanism, the circulating cooling water intelligent control strategy is optimized through periodic feedback control based on the circulating cooling water intelligent control feedback data, thereby ensuring long-term stable intelligent control of the circulating cooling water.

[0142] Example 7:

[0143] An embodiment of the present invention provides an Internet of Things-based circulating cooling water intelligent control system, further comprising:

[0144] Control visual module, used to visualize the intelligent control process of circulating cooling water;

[0145] The control alarm module is used to set the circulating cooling water data threshold. When the monitored circulating cooling water data exceeds the circulating cooling water data threshold, the corresponding circulating cooling water equipment is determined to be faulty and fault alarm data is automatically generated.

[0146] In this embodiment, the circulating cooling water intelligent control process is visualized and displayed, for example, temperature data, pressure data, and flow data are displayed.

[0147] In this embodiment, the circulating cooling water data threshold refers to the upper limit of the circulating cooling water data in normal operating state, for example, the circulating cooling water temperature data threshold a1. When the circulating cooling water temperature data exceeds a1, it is determined that the corresponding circulating cooling water equipment is faulty.

[0148] In this embodiment, the fault alarm data, for example, temperature fault alarm data.

[0149] The working principle and beneficial effects of the above technical solution are: by visually displaying the intelligent control process of circulating cooling water and generating fault alarm data, the intelligent control of circulating cooling water is further ensured.

[0150] Example 8:

[0151] The embodiment of the present invention provides a circulating cooling water intelligent control method based on the Internet of Things, such as Figure 2 Shown, including:

[0152] Step 1: Monitor the circulating cooling water equipment in real time, obtain circulating cooling water data and transmit it to the IoT platform;

[0153] Step 2: Analyze the circulating cooling water data transmitted to the IoT platform to determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results;

[0154] Step 3: Obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water;

[0155] Step 4: Establish a circulating cooling water control feedback mechanism and perform periodic feedback control optimization on the circulating cooling water intelligent control strategy based on the circulating cooling water intelligent control feedback data.

[0156] The working principle and beneficial effects of the above technical solution are: through pre-deployed sensors, the circulating cooling water equipment is monitored in real time, the circulating cooling water data is obtained and transmitted to the Internet of Things platform; data analysis is performed to determine the operating status and divide the circulating cooling water area, and the current distribution data of the circulating cooling water is determined in combination with the data analysis results; the control distribution data of the circulating cooling water is obtained, and a circulating cooling water intelligent control model is constructed. According to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, the current control data of the circulating cooling water is output, and the circulating cooling water is intelligently controlled; a circulating cooling water control feedback mechanism is established, and the intelligent control of the circulating cooling water is optimized through periodic feedback control; and intelligent control of the circulating cooling water is realized.

[0157] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A circulating cooling water intelligent control system based on the Internet of Things, characterized in that: include: The sensor deployment module is used to pre-deploy sensors to monitor circulating cooling water equipment in real time, obtain circulating cooling water data, and transmit it to the IoT platform; The circulating cooling water distribution module is used to analyze the circulating cooling water data transmitted to the IoT platform, determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results; The intelligent control module is used to obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water; The control feedback module is used to establish a circulating cooling water control feedback mechanism and perform periodic feedback control optimization on the circulating cooling water intelligent control according to the circulating cooling water intelligent control feedback data; Wherein, the intelligent control module includes: A control strategy unit, configured to determine a control difference value of current circulating cooling water data according to current distribution data of the circulating cooling water and control distribution data of the circulating cooling water; A control threshold is set according to historical circulating cooling water data, and when the control difference is not lower than the control threshold, the corresponding control difference is marked as a large control difference; When the control difference is lower than the control threshold, the corresponding control difference is marked as a small control difference; Obtain the intelligent control strategy for circulating cooling water, match the intelligent control strategy for circulating cooling water to the current circulating cooling water data based on the control difference marking result, match the current circulating cooling water data corresponding to the small control difference to the predictive control strategy, and match the current circulating cooling water data corresponding to the large control difference to the real-time control strategy; Obtaining the operating state of the circulating cooling water equipment corresponding to the current circulating cooling water data of the primary matching predictive control strategy, and maintaining the primary matching when the operating state of the corresponding circulating cooling water equipment is a normal operating state; When the operating state of the corresponding circulating cooling water equipment is abnormal, secondary matching is performed and the real-time control strategy is switched.

2. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 1 is characterized in that: Sensor deployment module, including: A sensor selection unit, configured to select a sensor type according to circulating cooling water control requirements, wherein the circulating cooling water control requirements include: temperature control requirements, flow control requirements, and pressure control requirements; A sensor deployment unit is used to obtain the equipment layout of the circulating cooling water equipment, determine the flow path of the circulating cooling water, set the flow nodes of the circulating cooling water, and pre-deploy sensors at the flow nodes of the circulating cooling water. The pre-deployed sensors include: temperature sensors, flow sensors, and pressure sensors; The data transmission unit is used to monitor the circulating cooling water equipment in real time based on pre-deployed sensors, obtain circulating cooling water data and transmit it to the Internet of Things platform. The circulating cooling water data includes: circulating cooling water temperature data, circulating cooling water flow data and circulating cooling water pressure data.

3. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 2 is characterized in that: Circulating cooling water distribution module, including: A data analysis unit, used for pre-processing the circulating cooling water data transmitted to the IoT platform; The circulating cooling water data after data preprocessing is stored in the Internet of Things platform according to the transmission time sequence. The data is extracted and analyzed according to the circulating cooling water data type to determine the operating status of the circulating cooling water equipment. The circulating cooling water data type includes: temperature data type, flow data type, and pressure data type; An operating status unit is used to obtain normal operating parameter data of the circulating cooling water equipment and determine a circulating cooling water data range when the circulating cooling water equipment is in a normal operating state, which is recorded as a normal circulating cooling water data range; When the data analysis results show that the circulating cooling water data are all within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in normal operating state; When the data analysis results show that the circulating cooling water data is not within the normal circulating cooling water data range, it is determined that the circulating cooling water equipment is in an abnormal operating state; The circulating cooling water distribution unit is used to divide the circulating cooling water area and determine the current distribution data of the circulating cooling water in combination with the data analysis results.

4. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 3 is characterized in that: Circulating cooling water distribution unit, including: The area division block is used to set the circulating cooling water area, divide the circulating cooling water area according to the equipment layout of the circulating cooling water equipment, and determine the circulating cooling water sub-areas; The circulating cooling water distribution block is used to match the circulating cooling water sub-area with the data analysis results, obtain the operating status of the circulating cooling water sub-area and the circulating cooling water data, and determine the current distribution data of the circulating cooling water.

5. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 1 is characterized in that: The intelligent control module also includes: A control distribution unit, used for obtaining control distribution data of circulating cooling water according to circulating cooling water control requirements; A model building unit is used to select a preset model, build a circulating cooling water intelligent control model, and perform model training on the circulating cooling water intelligent control model based on historical circulating cooling water data; An intelligent control unit is used to apply a circulating cooling water intelligent control strategy, input the control difference of the current circulating cooling water data into the trained circulating cooling water intelligent control model, and output the current control data of the circulating cooling water, wherein the circulating cooling water intelligent control strategy includes: a real-time control strategy and a predictive control strategy; ;in, Indicates the Current control data of circulating cooling water at each flow node; Indicates the Current distribution data of circulating cooling water at each flow node; Indicates the Control distribution data of circulating cooling water for each flow node; Indicates the The control difference of the current circulating cooling water data of each flow node; Indicates the current control cycle of circulating cooling water; Indicates the The cumulative control error of the circulating cooling water at each flow node; Indicates the The instantaneous control error of the circulating cooling water at each flow node; Indicates the cumulative error control parameter of the circulating cooling water intelligent control model after model training; Indicates the instantaneous error control parameters of the circulating cooling water intelligent control model after model training; Indicates the number of flow nodes for circulating cooling water; Generate control instructions based on the current control data of the circulating cooling water to perform intelligent control of the circulating cooling water.

6. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 1 is characterized in that: Control feedback module, including: A control feedback unit is used to establish a circulating cooling water control feedback mechanism according to the circulating cooling water control demand, and set control performance evaluation indicators to control and evaluate the circulating cooling water control effect, wherein the control performance evaluation indicators include: temperature control performance evaluation indicators, flow control performance evaluation indicators, and pressure control performance evaluation indicators; Generate circulating cooling water intelligent control feedback data based on the control evaluation results, set the feedback cycle, and optimize the periodic feedback control of the circulating cooling water intelligent control.

7. The intelligent control system for circulating cooling water based on the Internet of Things according to claim 1 is characterized in that: Also includes: Control visual module, used to visualize the intelligent control process of circulating cooling water; The control alarm module is used to set the circulating cooling water data threshold. When the monitored circulating cooling water data exceeds the circulating cooling water data threshold, the corresponding circulating cooling water equipment is determined to be faulty and fault alarm data is automatically generated.

8. A circulating cooling water intelligent control method based on the Internet of Things, characterized in that: include: Step 1: Monitor the circulating cooling water equipment in real time, obtain circulating cooling water data and transmit it to the IoT platform; Step 2: Analyze the circulating cooling water data transmitted to the IoT platform to determine the operating status of the circulating cooling water equipment, divide the circulating cooling water areas, and determine the current distribution data of the circulating cooling water based on the data analysis results; Step 3: Obtain the control distribution data of the circulating cooling water according to the circulating cooling water control requirements, build a circulating cooling water intelligent control model, output the current control data of the circulating cooling water according to the circulating cooling water intelligent control strategy and the current distribution data of the circulating cooling water, and perform intelligent control of the circulating cooling water; Step 4: Establish a circulating cooling water control feedback mechanism and optimize the circulating cooling water intelligent control based on the circulating cooling water intelligent control feedback data; Wherein, step 3 includes: Determining a control difference value of current circulating cooling water data according to current distribution data of circulating cooling water and control distribution data of circulating cooling water; A control threshold is set according to historical circulating cooling water data, and when the control difference is not lower than the control threshold, the corresponding control difference is marked as a large control difference; When the control difference is lower than the control threshold, the corresponding control difference is marked as a small control difference; Obtain the intelligent control strategy for circulating cooling water, match the intelligent control strategy for circulating cooling water to the current circulating cooling water data based on the control difference marking result, match the current circulating cooling water data corresponding to the small control difference to the predictive control strategy, and match the current circulating cooling water data corresponding to the large control difference to the real-time control strategy; Obtaining the operating state of the circulating cooling water equipment corresponding to the current circulating cooling water data of the primary matching predictive control strategy, and maintaining the primary matching when the operating state of the corresponding circulating cooling water equipment is a normal operating state; When the operating state of the corresponding circulating cooling water equipment is abnormal, secondary matching is performed and the real-time control strategy is switched.

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