Circulating water system parameter optimization method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a circulating water system parameter optimization method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring current operation information of the circulating water system; the circulating water system comprises a plurality of devices; the current operation information comprises respective parameter values of a plurality of operation parameters; each operation parameter comprises at least one adjustable parameter; for each piece of equipment, determining equipment associated parameters associated with the equipment from the operation parameters; performing operation cost analysis on the equipment based on the parameter values of the equipment associated parameters, and determining the equipment operation cost of the equipment; superposing the equipment operation cost of each equipment to obtain the system operation cost of the circulating water system; and based on the adjustment range of the adjustable parameter, optimizing the operation cost of the system, and determining an optimized parameter value corresponding to the adjustable parameter. The method can reduce the operation cost of the circulating water system.

Description

Technical Field

[0001] The present application relates to the technical field of industrial circulating water, and in particular to a circulating water system parameter optimization method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] Circulating water is a common cooling medium in industry. By collecting, treating and reusing wastewater, the constant temperature of the process production can be maintained while significantly reducing the use of fresh water. This is particularly important in the context of increasingly scarce water resources.

[0003] However, during the operation of the circulating water system, it generally only works based on preset fixed operating parameters. Since the application scenarios of the circulating water system are very complex, any changes in environmental factors and production factors will cause changes in the operating costs of the circulating water system. Therefore, using a traditional circulating water system may cause a waste of operating costs. Summary of the invention

[0004] Based on this, it is necessary to provide a circulating water system parameter optimization method, device, computer equipment, computer readable storage medium and computer program product that can reduce operating costs in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for optimizing parameters of a circulating water system, comprising:

[0006] Acquire current operation information of a circulating water system; the circulating water system includes a plurality of devices; the current operation information includes respective parameter values ​​of a plurality of operation parameters; each of the operation parameters includes at least one adjustable parameter;

[0007] For each of the devices, determining a device-associated parameter associated with the device from the operating parameters;

[0008] Based on the parameter values ​​of the device-associated parameters, performing an operation cost analysis on the device to determine the device operation cost of the device;

[0009] Adding up the equipment operation costs of each of the equipment, the system operation cost of the circulating water system is obtained;

[0010] Based on the adjustment range of the adjustable parameter, the system operation cost is optimized, and the optimized parameter value corresponding to the adjustable parameter is determined.

[0011] In one embodiment, for each of the devices, determining a device-associated parameter associated with the device from each of the operating parameters includes:

[0012] For each of the devices, determining the influencing factors affecting the operation process of the device and the associated factors associated with the operation process of the device;

[0013] Based on the influencing factors and the association factors, a device-associated parameter associated with the device is screened out from each of the operating parameters; the device-associated parameter matches at least one of the influencing factors and the association factors.

[0014] In one embodiment, performing an operation cost analysis on the device based on the parameter value of the device-associated parameter to determine the device operation cost of the device includes:

[0015] Obtaining a correspondence between a preset equipment operating cost and an operation-related parameter for the equipment;

[0016] The parameter value of the device-associated parameter is mapped to the corresponding relationship to determine the device operation cost of the device.

[0017] In one embodiment, the process of establishing the corresponding relationship between the equipment operation cost and the operation-related parameters includes:

[0018] For each of the devices, based on the device attribute information of the device, construct a virtual model corresponding to the device;

[0019] Obtaining respective historical parameter values ​​of each device-associated parameter of the device at multiple historical moments;

[0020] Based on the historical parameter values ​​and the virtual model, respectively simulate the operating state of the equipment at each historical moment, and determine the historical operating cost corresponding to each historical moment;

[0021] Based on each of the historical operating costs and each of the historical parameter values, a corresponding relationship between the equipment operating cost and the operation-related parameter is determined.

[0022] In one embodiment, obtaining the historical parameter value of each device-associated parameter of the device at multiple historical moments includes:

[0023] Obtaining respective initial historical parameter values ​​of each device-associated parameter of the device at multiple historical moments;

[0024] In the case where there is an abnormal parameter value in each of the initial historical parameter values, determining the abnormal historical moment to which the abnormal parameter value belongs;

[0025] According to the initial historical parameter value corresponding to the adjacent historical moment of the abnormal historical moment, the abnormal historical moment is numerically interpolated to determine the historical parameter value corresponding to the abnormal historical moment.

[0026] In one embodiment, optimizing the system operation cost based on the adjustment range of the adjustable parameter and determining the optimized parameter value corresponding to the adjustable parameter includes:

[0027] Based on the adjustment range of the adjustable parameter, determining a plurality of candidate parameter values ​​corresponding to the adjustable parameter;

[0028] According to each of the candidate parameter values, the parameter values ​​corresponding to the adjustable parameters are updated respectively, and a plurality of update device costs corresponding to the devices to which the adjustable parameters belong are determined;

[0029] For each of the update equipment costs, determining an update system cost corresponding to the update equipment cost;

[0030] An optimized system cost satisfying an optimization condition is determined from each of the updated system costs, and a candidate parameter value corresponding to the optimized system cost is determined as the optimized parameter value corresponding to the adjustable parameter.

[0031] In a second aspect, the present application also provides a circulating water system parameter optimization device, comprising:

[0032] An operation information acquisition module is used to acquire current operation information of a circulating water system; the circulating water system includes a plurality of devices; the current operation information includes respective parameter values ​​of a plurality of operation parameters; each of the operation parameters includes at least one adjustable parameter;

[0033] An associated parameter determination module, configured to determine, for each of the devices, a device associated parameter associated with the device from among the operating parameters;

[0034] An operation cost determination module, configured to perform an operation cost analysis on the device based on the parameter value of the device-associated parameter to determine the device operation cost of the device;

[0035] An operation cost superposition module, used to superimpose the equipment operation costs of each of the equipment to obtain the system operation cost of the circulating water system;

[0036] The optimized parameter value determination module is used to optimize the system operation cost based on the adjustment range of the adjustable parameter and determine the optimized parameter value corresponding to the adjustable parameter.

[0037] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0039] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0040] The above-mentioned circulating water system parameter optimization method, device, computer equipment, computer-readable storage medium and computer program product obtain the current operation information of the circulating water system, and can determine the operation status of the circulating water system at the current moment, wherein the circulating water system includes multiple devices to support the normal operation of the circulating water system, the current operation information includes the parameter values ​​of multiple operation parameters, and each operation parameter includes at least one adjustable parameter. For each device in the circulating water system, it is necessary to determine the device-associated parameters associated with the device from each operation parameter. Based on the parameter values ​​of the device-associated parameters, the operation cost of the equipment is analyzed, and the equipment operation cost of each device when the current operation information is used for operation at the current moment can be determined. By superimposing the equipment operation costs of each device, the system operation cost of the circulating water system when the current operation information is used for operation at the current moment can be obtained. Based on the adjustment range of the adjustable parameters, the system operation cost is optimized, and the optimized parameter value corresponding to the adjustable parameter is determined. The adjustable parameters can be adjusted within the set range, so that during the adjustment process, the system operation cost that meets the optimization conditions is determined, and then the optimized parameter value corresponding to the adjustable parameter is determined, and the operation parameters of the circulating water system are adjusted according to the optimized parameter value. By adopting the above-mentioned circulating water system parameter optimization method, the circulating water system parameters can be optimized according to actual working conditions to achieve the purpose of reducing operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A diagram showing an application environment of a circulating water system parameter optimization method in one embodiment;

[0043] Figure 2 A schematic diagram of a flow chart of a method for optimizing parameters of a circulating water system in one embodiment;

[0044] Figure 3A schematic flow chart of a method for optimizing circulating water system parameters in another embodiment;

[0045] Figure 4 A schematic flow chart of a method for optimizing circulating water system parameters in yet another embodiment;

[0046] Figure 5 It is a structural block diagram of a circulating water system parameter optimization device in one embodiment;

[0047] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] The circulating water system parameter optimization method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with multiple devices 104 in the circulating water system through the network. Among them, the terminal 102 can be but not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The device 104 can be different types of devices in the circulating water system. For example, the device 104 can be a cooling tower, a heat exchanger, or a turbine / compressor. Specifically, during the optimization process of the circulating water system parameters, the terminal 102 obtains the current operating information of the circulating water system; the circulating water system includes multiple devices 104; the current operating information includes parameter values ​​of multiple operating parameters; each operating parameter includes at least one adjustable parameter; for each device 104, the device-associated parameters associated with the device 104 are determined from the operating parameters; based on the parameter values ​​of the device-associated parameters, the operating cost of the device 104 is analyzed to determine the equipment operating cost of the device 104; the equipment operating costs of each device 104 are superimposed to obtain the system operating cost of the circulating water system; based on the adjustment range of the adjustable parameters, the system operating cost is optimized to determine the optimized parameter value corresponding to the adjustable parameter.

[0050] In an exemplary embodiment, Figure 2As shown, a method for optimizing parameters of a circulating water system is provided. Figure 1 The terminal 102 in the example is used as an example to illustrate, including the following steps S202 to S210. Among them:

[0051] Step S202, obtaining current operation information of the circulating water system.

[0052] Among them, the circulating water system includes multiple devices. Specifically, the circulating water system is composed of heat exchange equipment, cooling facilities, water treatment facilities, water pumps, pipelines and related auxiliary facilities to provide a system for circulating water. This system plays a key role in industrial production, especially in situations where a large amount of cooling water is required. The current operation information refers to the information contained in the operation process of the circulating water system at the current moment, and the current operation information includes the parameter values ​​of multiple operation parameters. Operation parameters refer to various numerical indicators involved in the operation of a device or system, which can reflect the operating status, performance and work efficiency of the device or system. It can be understood that the operation parameters may include environmental parameters and equipment operation parameters during the operation of the circulating water system. Each operation parameter includes at least one adjustable parameter. An adjustable parameter is a parameter that can be numerically adjusted.

[0053] Specifically, in order to optimize the parameters of the circulating water system, during the operation of the circulating water system, the terminal needs to obtain the current operation information of the circulating water system to determine the operation status of the circulating water system at the current moment. It can be understood that the process of the terminal obtaining the current operation information can be active or passive.

[0054] Step S204: for each device, determine a device-associated parameter associated with the device from the operating parameters.

[0055] The device-associated parameters refer to operating parameters associated with the device.

[0056] Specifically, the current operating information of the circulating water system includes parameter values ​​of multiple operating parameters. Since the circulating water system includes multiple devices, these operating parameters are operating parameters of multiple devices. For a specific device, only a part of the multiple operating parameters may be related to the device. In order to reduce unnecessary waste of computing resources, the terminal can specifically determine the device-associated parameters corresponding to each device, that is, for each device, the device-associated parameters associated with the device can be determined from the operating parameters.

[0057] In a specific embodiment, the terminal can determine, for each device, the influencing factors that affect the operation process of the device and the associated factors associated with the operation process of the device, and based on the influencing factors and the associated factors, filter out device-associated parameters associated with the device from various operating parameters, wherein the device-associated parameters match at least one of the influencing factors and the associated factors.

[0058] In another specific embodiment, the terminal may also obtain an operating parameter name pre-determined for each device, and determine a device-associated parameter associated with the device from among the operating parameters based on the operating parameter name.

[0059] Step S206: Based on the parameter values ​​of the device-associated parameters, an operation cost analysis is performed on the device to determine the device operation cost of the device.

[0060] Among them, equipment operating cost refers to the operating cost for each equipment, mainly refers to all expenses incurred to maintain its normal operation and achieve the expected function. The equipment operating cost corresponding to the equipment is closely related to the operating parameters of the equipment. For example, under certain conditions, the lower the outlet water temperature of the cooling tower, the higher the cost of the cooling tower.

[0061] Specifically, for each device, after determining the device-associated parameters associated with the device, the device operating cost can be determined by performing an operating cost analysis on the device based on the parameter values ​​of the device-associated parameters. Since the parameter values ​​of the device-associated parameters are correlated with the device operating cost of the device, the device operating cost can be determined based on the above parameter values.

[0062] In a specific embodiment, the terminal can obtain the correspondence between the device operation cost and the operation-related parameters preset for the device, map the parameter value of the device-related parameter to the correspondence, and determine the device operation cost of the device. In another specific embodiment, the terminal can also establish an operation cost analysis model, input the parameter value of the device-related parameter into the operation cost analysis model, and the output obtained is the device operation cost of the device.

[0063] Step S208, adding up the equipment operation costs of each device to obtain the system operation cost of the circulating water system.

[0064] The system operation cost is the total operation cost corresponding to the circulating water system, which can reflect the overall cost usage of the circulating water system operating with current operation parameters at the current moment.

[0065] Specifically, after determining the equipment operating cost corresponding to each device, the equipment operating costs of each device can be added up to determine the system operating cost of the circulating water system, and then determine the overall cost usage of the circulating water system operating with current operating parameters at the current moment.

[0066] Step S210: optimizing the system operation cost based on the adjustment range of the adjustable parameter, and determining the optimized parameter value corresponding to the adjustable parameter.

[0067] The adjustment range refers to the range in which the adjustable parameter value is adjusted, which can be represented by a numerical interval. The optimized parameter value is the parameter value of the adjustable parameter corresponding to the optimized system operation cost.

[0068] Specifically, after determining the system operation cost corresponding to the current operation information, the adjustment range of the adjustable parameter can be determined first. Since the adjustment range corresponds to a plurality of parameter values ​​of the adjustable parameters, the system operation cost can be calculated based on the parameter values ​​within the adjustment range, and the parameter value corresponding to the lowest system operation cost is used as the optimized parameter value corresponding to the adjustable parameter. Exemplarily, the terminal can determine a plurality of candidate parameter values ​​corresponding to the adjustable parameter based on the adjustment range of the adjustable parameter, optimize the system operation cost according to each candidate parameter value, and determine the optimized parameter value corresponding to the adjustable parameter.

[0069] The above-mentioned circulating water system parameter optimization method obtains the current operation information of the circulating water system, and can determine the operation status of the circulating water system at the current moment, wherein the circulating water system includes multiple devices to support the normal operation of the circulating water system, and the current operation information includes the parameter values ​​of multiple operation parameters, each of which includes at least one adjustable parameter. For each device in the circulating water system, it is necessary to determine the device-associated parameter associated with the device from each operation parameter, and based on the parameter value of the device-associated parameter, the operation cost of the device is analyzed, and the device operation cost of each device when the current operation information is used for operation at the current moment can be determined. The device operation cost of each device when the current operation information is used for operation at the current moment can be obtained by superimposing the device operation cost of each device, and the system operation cost of the circulating water system when the current operation information is used for operation at the current moment can be obtained. Based on the adjustment range of the adjustable parameter, the system operation cost is optimized, and the optimized parameter value corresponding to the adjustable parameter is determined. The adjustable parameter can be adjusted within the set range, so that in the adjustment process, the system operation cost that meets the optimization condition is determined, and then the optimized parameter value corresponding to the adjustable parameter is determined, and the operation parameters of the circulating water system are adjusted according to the optimized parameter value. By adopting the above-mentioned circulating water system parameter optimization method, the circulating water system parameters can be optimized according to the actual working conditions to achieve the purpose of reducing the operation cost.

[0070] In an exemplary embodiment, for each device, device-associated parameters associated with the device are determined from various operating parameters, including: for each device, determining influencing factors that affect the operating process of the device, and associated factors associated with the operating process of the device; based on the influencing factors and the associated factors, filtering out device-associated parameters associated with the device from various operating parameters.

[0071] Among them, influencing factors refer to factors that will affect the operation process of the equipment. For example, for cooling tower equipment, factors such as ambient wind speed, atmospheric temperature, and atmospheric pressure will affect its operation process. Correlated factors refer to factors associated with the operation process of the equipment. For example, for cooling tower equipment, the higher the upper water temperature, the more fan power the cooling tower needs to consume. Therefore, the upper water temperature is an associated factor associated with the operation process of the cooling tower. It can be understood that the influencing factors and associated factors of the cooling tower do not only include the above-mentioned factors, and the specific range of influencing factors and associated factors can be determined according to actual conditions. Equipment association parameters match at least one of the influencing factors and associated factors.

[0072] Specifically, the terminal needs to determine the influencing factors that affect the operation process of each device, as well as the associated factors associated with the operation process of the device, and finally filter out the device-associated parameters associated with the device from various operating parameters based on at least one of the influencing factors and the associated factors.

[0073] In this embodiment, the influencing factors and associated factors of each device are determined, and the device associated parameters associated with the device are determined based on at least one of the influencing factors and associated factors, which can ensure the integrity of the determined device associated parameters, thereby ensuring the accuracy of the subsequent equipment operation cost analysis process.

[0074] In an exemplary embodiment, based on the parameter values ​​of the device-associated parameters, an operating cost analysis is performed on the device to determine the equipment operating cost of the device, including: obtaining the corresponding relationship between the equipment operating cost preset for the device and the operating associated parameters; mapping the parameter values ​​of the device-associated parameters to the corresponding relationship to determine the equipment operating cost of the device.

[0075] The corresponding relationship between the equipment operation cost and the operation-related parameters can be represented in the form of a functional relationship or a curve graph.

[0076] Specifically, a correspondence between the equipment operating cost and the operation-related parameters can be established in advance. After determining the parameter value of the equipment-related parameter, the terminal can directly map the parameter value of the equipment-related parameter to the correspondence to determine the equipment operating cost of the equipment, thereby improving the efficiency of determining the equipment operating cost.

[0077] In an exemplary embodiment, the process of establishing the correspondence between equipment operating costs and operation-related parameters includes: for each equipment, based on the equipment attribute information of the equipment, constructing a virtual model corresponding to the equipment; obtaining the historical parameter values ​​of each equipment-related parameter of the equipment at multiple historical moments; based on each historical parameter value and the virtual model, simulating the operating status of the equipment at each historical moment, and determining the historical operating cost corresponding to each historical moment; based on each historical operating cost and each historical parameter value, determining the correspondence between the equipment operating cost and the operation-related parameters.

[0078] Among them, the equipment attribute information is information describing various attributes and characteristics of the equipment. For example, for a heat exchanger, the equipment attribute information of the heat exchanger may be the tube / shell material of the heat exchanger, the tube / shell design flow rate of the heat exchanger, the number of tube passes, the tube length, the tube diameter, the tube spacing, the tube distribution type, the number of tube baffles, the number of shell passes, the shell diameter, the allowable pressure drop of the tube / shell of the heat exchanger, the inlet / outlet position of the heat exchanger, the inlet / outlet diameter of the heat exchanger, etc.

[0079] The virtual model can be simulated by simulation software, such as ASPENPLUS or ROMeo software. The specific simulation process can determine the corresponding software for model simulation based on the attribute information of the device. The historical moment is the moment that has already occurred. The historical parameter value is the parameter value corresponding to the device-related parameter at the historical moment. The historical operating cost is the device operating cost corresponding to the device at the historical moment.

[0080] Specifically, before optimizing the parameters of the circulating water system, the corresponding relationship between the equipment operating cost and the operation-related parameters can be established first. That is, for each equipment, a virtual model corresponding to the equipment can be constructed based on the equipment attribute information of the equipment. After the construction is completed, it means that the virtual model has the function of simulating the operation of the equipment. Therefore, the historical parameter values ​​of each equipment-related parameter of the equipment at multiple historical moments can be obtained. Based on the historical parameter values ​​and the virtual model at each historical moment, the operating status of the equipment at the historical moment is simulated respectively, and the corresponding historical operating cost at each historical moment is determined. The numerical relationship between the historical parameter values ​​and the historical operating costs at multiple historical moments can be obtained, and then the corresponding relationship between the equipment operating cost and the operation-related parameters can be determined based on the historical operating costs and the historical parameter values.

[0081] In this embodiment, after constructing a virtual model of the device based on the device attribute information of the device, the corresponding relationship between the device operating cost and the operating associated parameters can be determined based on the historical parameter values ​​of the device associated parameters of the device at multiple historical moments and the virtual model simulation of the device's operating status at each historical moment, thereby ensuring the accuracy of the determination of the equipment operating cost.

[0082] In an exemplary embodiment, the historical parameter values ​​of each device-associated parameter of a device at multiple historical moments are obtained, including: obtaining the initial historical parameter values ​​of each device-associated parameter of the device at multiple historical moments; in the case where there are abnormal parameter values ​​in each initial historical parameter value, determining the abnormal historical moment to which the abnormal parameter value belongs; and performing numerical interpolation on the abnormal historical moment based on the initial historical parameter values ​​corresponding to the adjacent historical moments of the abnormal historical moment to determine the historical parameter value corresponding to the abnormal historical moment.

[0083] The initial historical parameter value refers to the historical parameter value that has not been processed. The abnormal parameter value is the parameter value with an abnormal value. For example, if an initial historical parameter value does not meet the normal range corresponding to the device-related parameter, then the initial historical parameter value is the abnormal parameter value. The historical moment to which the abnormal parameter value belongs is the abnormal historical moment. The adjacent historical moments of the abnormal historical moment are the previous historical moment and the next historical moment of the abnormal historical moment.

[0084] Specifically, when determining the historical parameter value, the initial historical parameter value of each device-associated parameter of the device at multiple historical moments can be obtained first, and the initial historical parameter value is judged based on the normal parameter range corresponding to each device-associated parameter. In the case where there is an abnormal parameter value in each initial historical parameter value, the abnormal historical moment to which the abnormal parameter value belongs is determined, and the abnormal historical moment is numerically interpolated according to the initial historical parameter value corresponding to the adjacent historical moment of the abnormal historical moment to determine the historical parameter value corresponding to the abnormal historical moment. It can be understood that if there is no abnormality in the initial historical parameter value, then the initial historical parameter value can be determined as the historical parameter value of the corresponding device-associated parameter.

[0085] In this embodiment, when there are abnormal parameter values ​​in the initial historical parameter values, numerical interpolation can be performed on the abnormal historical moment based on the initial historical parameter values ​​of adjacent historical moments of the corresponding abnormal historical moment, thereby ensuring the accuracy of the historical parameter values.

[0086] In an exemplary embodiment, based on the adjustment range of the adjustable parameter, the system operating cost is optimized and the optimized parameter value corresponding to the adjustable parameter is determined, including: based on the adjustment range of the adjustable parameter, a plurality of candidate parameter values ​​corresponding to the adjustable parameter are determined; the parameter value corresponding to the adjustable parameter is updated according to each candidate parameter value, and a plurality of update device costs corresponding to the device to which the adjustable parameter belongs are determined; for each update device cost, an update system cost corresponding to the update device cost is determined; from each update system cost, an optimized system cost that meets the optimization condition is determined, and the candidate parameter value corresponding to the optimized system cost is determined as the optimized parameter value corresponding to the adjustable parameter.

[0087] Among them, the candidate parameter value refers to the parameter value corresponding to the adjustable parameter waiting to be selected. The updated equipment cost refers to the equipment cost after the parameter value of the adjustable parameter is updated. The updated system cost is the system cost of the circulating water system after the equipment cost is updated. The optimized system cost is the system cost with the lowest cost among all the updated system costs. The optimization condition refers to the lowest system cost among all the updated system costs.

[0088] Specifically, the terminal can obtain the parameter range of the adjustable parameter. Since the parameter range contains multiple adjustable parameters with different numerical values, that is, multiple candidate parameter values ​​corresponding to the adjustable parameter can be determined. Then, the parameter value corresponding to the adjustable parameter is updated according to each candidate parameter value, so that multiple update equipment costs corresponding to the equipment to which the adjustable parameter belongs can be determined. By updating the system cost according to the above multiple update equipment costs, multiple update system costs can be determined. The lowest cost is determined from each update system cost as the optimized system cost. The candidate parameter value corresponding to the optimized system cost is the optimized parameter value corresponding to the adjustable parameter. Subsequently, the adjustable parameter can be adjusted according to the optimized parameter value, thereby realizing the optimization of the circulating water system parameters.

[0089] In this embodiment, the terminal updates the system cost according to the adjustment range of the adjustable parameters, thereby determining the optimized system cost with the lowest system cost, and adjusts the adjustable parameters according to the candidate parameter values ​​corresponding to the optimized system cost, thereby optimizing the circulating water system parameters according to the actual working conditions and achieving the purpose of reducing operating costs.

[0090] In a specific embodiment, Figure 3 As shown, a method for optimizing parameters of a circulating water system is also provided, comprising:

[0091] Step S301, obtaining current operation information of the circulating water system;

[0092] According to the current operation information, the system operation cost of the circulating water system at the current moment is optimized, and the optimized parameter values ​​corresponding to the adjustable parameters are determined;

[0093] According to the optimized parameter values, the circulating water system is optimized.

[0094] Among them, the current operating information may include: the circulating water system's inlet water temperature, return water temperature, inlet water flow, inlet water pressure, return water pressure, cooling tower outlet water temperature, cooling tower fan air volume, circulating water pump power consumption, cooling tower fan power consumption, atmospheric temperature, atmospheric humidity, atmospheric pressure, ambient wind speed, ambient radiation, the inlet and outlet temperatures of each flow stream on the user side, the inlet and outlet pressures of each flow stream on the user side, the inlet and outlet flow rates of each flow stream on the user side, and the inlet and outlet components of each flow stream on the user side.

[0095] Specifically, the process of analyzing the operation cost of the equipment requires obtaining the corresponding relationship between the equipment operation cost and the operation-related parameters. The process of establishing the above corresponding relationship is to build a virtual model corresponding to each equipment based on the equipment attribute information of the equipment:

[0096] Establish mathematical models related to heat exchange at each user side;

[0097] Establish a hydraulic model of the circulating water network and obtain the operating data of circulating water users and return water on the circulating water main under dynamic conditions corresponding to each historical moment;

[0098] Establish a cooling tower thermodynamic model to obtain the cooling tower fan-outlet water temperature operating data under dynamic conditions and specific environmental operating parameters corresponding to each historical moment;

[0099] Establish equipment performance curve models for each user side of the circulating water system and generate equipment performance fitting curves;

[0100] The user-side mathematical model, the circulating water network hydraulics model, and the cooling tower thermodynamics model are established as a unified operating cost model, and the minimum operating cost is set as the optimization condition;

[0101] Formulate the adjustment range of adjustable parameters according to the characteristics of the circulating water user system, and optimize the operating cost obtained by the operating cost model based on the adjustment range;

[0102] Import the instruments corresponding to the key information in the circulating water system into the model database, and establish a corresponding virtual instrument layer, and supplement and correct the instrument point data through neural network and data setting;

[0103] According to the above aspects and any possible implementation, a further implementation is provided, after the above virtual model is established, a multivariable global optimization is performed under optimization conditions by using an annealing genetic algorithm;

[0104] Establish the corresponding instrument layer control logic integrated processor, set the input target parameters and the corresponding control logic;

[0105] The instrument with the optimized parameter value corresponding to the operating cost optimized by the virtual model is imported into the instrument layer control logic integrated processor for control adjustment.

[0106] Set the optimization frequency and complete the process of calculation-optimization-control adjustment of the circulating water system through the above steps, so that the circulating water system can be adjusted and optimized in real time according to the actual operating conditions, thereby reducing the operating cost of the circulating water system.

[0107] Specifically, for heat exchanger type equipment, the property information of the heat exchanger needs to be input into ASPENPLUS or ROMeo software, and after importing the upper water temperature, upper water pressure, and upper water flow rate of the stream side and the circulating water side within a certain range, the target heat exchanger curve and key heat transfer coefficient can be calculated, and the user's heat exchanger outlet temperature and circulating water volume can be output. Among them, the key heat transfer coefficient can be converted to obtain the equipment operating cost of the heat exchanger;

[0108] For turbine / compressor type equipment, the turbine / compressor attribute information needs to be input into ASPENPLUS or ROMeo software, and after importing the upper water temperature, upper water pressure, and upper water flow rate of the stream side and the circulating water side within a certain range, the target heat exchanger curve and key efficiency coefficient can be calculated, and the outlet temperature and circulating water volume of the user's turbine / compressor can be output. Among them, the key efficiency coefficient can be converted to obtain the equipment operating cost of the turbine / compressor;

[0109] For cooling tower type equipment, the fan performance curve, cooling tower thermodynamic model and environmental parameters, and actual system operating parameters are imported through ROMeo software. The thermodynamic equilibrium of the circulating water system in the cooling tower link is solved through software iteration, and the key air volume-water supply temperature curve is obtained. Among them, the equipment operating cost of the cooling tower can be obtained through certain conversion based on the key air volume.

[0110] For equipment on the utility side, the circulating water system mainly passes through the main pipes and branch pipes in turn through the upper pool, water pump, user, and cooling tower. The PIPEFLOW model is used to simulate the hydraulic model of the real research case, and the actual length of each pipe section, the diameter of each pipe section, the elevation of each pipe section, the user's location and pressure drop, water consumption, valves of each pipe section, elbows of each pipe section, and pump performance curves of the pipe network are sequentially established into digital models. The hydraulic state of the circulating water system is solved according to the software iteration, and the key pressure drop-water volume curve is obtained.

[0111] A virtual instrument layer is established and assigned to each flow stream and equipment in the above model. Through data setting and the virtual instrument layer, the commonly missing and unreliable instruments of the circulating water system, such as circulating water supply temperature, circulating water return temperature, circulating water pressure, circulating water pressure drop, circulating water volume, and fan air volume, are integrated.

[0112] An optimization logic layer is added to the model, and constraints are added, as well as the establishment and calling of the objective function through VB (Visual Basic, visual programming) language or external call to MATLAB, to solve the optimization parameter values ​​corresponding to the adjustable parameters such as the optimized circulating water supply temperature, circulating water supply pressure, and circulating water supply flow.

[0113] The corresponding control layer is installed through the DCS (Distributed Control System), the optimized parameters after the model solution are imported at a fixed frequency as the adjustment target value, and the circulating water parameters are adjusted according to the preset control logic.

[0114] In the actual application scenario, after weighted evaluation and screening, the key equipment in the optimization process of the circulating water system was determined to be mainly three categories: heat exchanger, turbine / compressor, and tower (cooling tower). Finally, 20 groups of equipment were selected for detailed design and evaluation, which constituted the user-side constraints and economic function components in the circulating water system.

[0115] In ROMeo software, virtual models of heat exchangers are established one by one. Detailed design of heat exchangers is performed by inputting the tube / shell material, tube / shell design flow rate, tube number, tube length, tube diameter, tube spacing, tube distribution type, tube baffle number, shell number, shell diameter, tube / shell allowable pressure drop, tube / shell inlet / outlet position, tube / shell inlet / outlet diameter, etc., and establishing heat exchanger heat transfer coefficient U and process stream outlet temperature. , circulating water flow The functional relationship between the heat exchanger heat transfer coefficient U and the process stream outlet temperature is represented by , circulating water flow The corresponding relationship can be represented by the following functional relationship, which will not be repeated here.

[0116] Similarly, in ROMeo software, turbine / compressor and tower models are established one by one, and by inputting the turbine performance curves step by step, the comprehensive efficiency E of turbine / compressor / tower and the outlet temperature of process stream are established. , circulating water flow The functional relationship of .

[0117] Secondly, there are provisions on the hydraulics of the circulating water network:

[0118] In this embodiment, in the PIPEFLOW software, strictly according to the designed pipeline, the information of each main pipe, straight pipe section, pipe fittings, and valves are input one by one to establish the functional relationship between the pressure-flow of each area of ​​the circulating water system and the total upstream and return water pipeline under the case pipeline network. The opening of the manual valve in the valve set in the circulating water pipeline network is fixed, and the opening value of the manual valve parameter is regularly updated to ensure consistency with the actual pipeline network model.

[0119] In this embodiment, a cooling tower heat balance and mass balance model (virtual model) is established in the ROMeo software, and a functional relationship group of the circulating water system's supply water temperature, return water temperature, supply water flow, supply water pressure, return water pressure, cooling water tower outlet water temperature, cooling water tower fan air volume, circulating water pump power consumption, cooling water tower fan power consumption, atmospheric temperature, atmospheric humidity, atmospheric pressure, ambient wind speed, and ambient radiation is established. The thermodynamic state of the cooling water tower system is solved through software iteration, and the key circulating water supply water temperature-fan power consumption performance curve is obtained, wherein the key circulating water supply water temperature-fan power consumption performance curve can represent the corresponding relationship between the key circulating water supply water temperature and the fan power consumption performance curve.

[0120] Step S302, perform data correction on the current operation information. Perform data correction on the current operation information. Link the instrument layer of each input variable through ROMeo, perform deviation correction on the data of uninstrumented and unreliable instruments, and limit the accuracy to less than 0.01 to complete the data setting of the circulating water system, that is, the abnormal parameter values ​​or missing parameter values ​​in the current operation information can be numerically interpolated.

[0121] Create constraints:

[0122] Step S303: Optimize the system operation cost represented by the current operation information to obtain the optimized parameter values ​​of the corresponding adjustable parameters.

[0123] Taking a heat exchanger in this embodiment as an example, the upper and lower limits of the outlet temperature of the stream are specified to be in the range of 35-42°C, which is a constraint condition. The upper and lower limits of the operation of various parameters on the user side of the circulating water system are specified through VB or MATLAB, and the solution range of each parameter in the subsequent solution and optimization process is clarified.

[0124] In this embodiment, the system operation cost is composed of the power consumption of the circulating water pump, the power consumption of the circulating water cooling tower fan, and the sum of the sub-economic functions of each user's flow. Among them, the sub-economic function of each user's flow in this embodiment is mainly the sum of three types of sub-economic functions. The sub-economic function of the heat exchanger type user is the flow loss cost, the sub-economic function of the turbine / compressor is the energy consumption (steam consumption or electricity consumption corresponding to the unit power consumption), and the sub-economic function of the tower is energy consumption (product separation consumes cold and hot utilities, that is, steam consumption and chilled water cost, or other heat and refrigerant consumption). In summary, the system operation cost can be regarded as the sum of the power consumption of the circulating water pump, the power consumption of the circulating water cooling tower fan, the energy consumption of each user (such as steam, electricity, thermal oil, coal, natural gas and other heat consumption and chilled water, air cooling power consumption and other refrigerant consumption), and the material loss / recovery cost of each user.

[0125] Through ROMeo's global optimization solution calculation, the circulating water system optimization parameters are calculated when the system operation cost is the lowest, and the optimal circulating water supply temperature, circulating water supply pressure, and circulating water supply flow rate (optimal parameter values ​​of adjustable parameters) are obtained.

[0126] Step S304: Optimize the circulating water system according to the optimized parameter values.

[0127] According to the corresponding signals at each point, the various adjustment actions in the system are executed, the circulating water upper water temperature is adjusted corresponding to the fan current, and the adjustment of various parameters of the circulating water system in this stage is completed.

[0128] After executing all stages, enter the next cycle and re-execute the above steps to perform corresponding calculations and controls.

[0129] In summary, combined with the above-mentioned circulating water system parameter optimization method, the open circulating water system can be optimized-controlled and adjusted under complex actual environmental changes and different operating conditions, taking into account the operational safety and economy of the user side and the circulating water side, and maximizing the reduction of the device operating cost. Based on the method of this application, only the optimization module and the supporting control system need to be added, and the valves and equipment operation adjustments involved can meet the feasible range of the current hardware equipment, without the need for large-scale transformation, reducing the risk of technical transformation and investment costs, and fully considering and avoiding the engineering infeasibility and system operation risks during the adjustment process. In the above case, the 35,000t / h circulating water system and the corresponding process can reduce the operating cost by about 10.7%. According to the total water consumption of the park of 400,000t / h, the stable operating conditions of 8,000h throughout the year, and the operating cost of the circulating water system of 0.15 yuan / t, the economic benefits brought by the optimization of the circulating water system parameters of a certain park level of the company alone are 68.57 million yuan / year. The economic and environmental benefits brought by this method are relatively significant.

[0130] In a specific embodiment, Figure 4As shown, a method for optimizing parameters of a circulating water system is also provided, comprising:

[0131] Step S401, for each device, based on the device attribute information of the device, construct a virtual model corresponding to the device;

[0132] Step S402, obtaining initial historical parameter values ​​of each device-associated parameter of the device at multiple historical moments, and determining the abnormal historical moment to which the abnormal parameter value belongs when there is an abnormal parameter value in each initial historical parameter value;

[0133] Step S403, performing numerical interpolation on the abnormal historical moment according to the initial historical parameter values ​​corresponding to the adjacent historical moments of the abnormal historical moment, to determine the historical parameter value corresponding to the abnormal historical moment;

[0134] Step S404, based on the historical parameter values ​​and the virtual model, respectively simulate the operating status of the equipment at each historical moment, and determine the historical operating cost corresponding to each historical moment;

[0135] Step S405, based on each historical operating cost and each historical parameter value, determining the corresponding relationship between the equipment operating cost and the operation-related parameter, and obtaining the current operation information of the circulating water system;

[0136] The circulating water system includes a plurality of devices; the current operation information includes parameter values ​​of a plurality of operation parameters; each operation parameter includes at least one adjustable parameter;

[0137] Step S406, for each device, determining the influencing factors affecting the operation process of the device and the associated factors associated with the operation process of the device;

[0138] Step S407, based on the influencing factors and the associated factors, filter out device-associated parameters associated with the device from the various operating parameters;

[0139] wherein the device association parameter matches at least one of the influencing factor and the association factor;

[0140] Step S408, obtaining a correspondence between a device operation cost and an operation-related parameter preset for the device, mapping a parameter value of the device-related parameter to the correspondence, and determining the device operation cost of the device;

[0141] Step S409, adding up the equipment operation costs of each device to obtain the system operation cost of the circulating water system, and determining multiple candidate parameter values ​​corresponding to the adjustable parameters based on the adjustment range of the adjustable parameters;

[0142] Step S410, updating the parameter value corresponding to the adjustable parameter according to each candidate parameter value, and determining a plurality of update device costs corresponding to the device to which the adjustable parameter belongs;

[0143] Step S411, for each update device cost, determining the update system cost corresponding to the update device cost;

[0144] Step S412: determining an optimized system cost satisfying the optimization condition from among the updated system costs, and determining the candidate parameter value corresponding to the optimized system cost as the optimized parameter value corresponding to the adjustable parameter.

[0145] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0146] Based on the same inventive concept, the embodiment of the present application also provides a circulating water system parameter optimization device for implementing the circulating water system parameter optimization method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the circulating water system parameter optimization device provided below can refer to the limitations of the circulating water system parameter optimization method above, and will not be repeated here.

[0147] In an exemplary embodiment, Figure 5 As shown, a circulating water system parameter optimization device 500 is provided, comprising: an operation information acquisition module 502, an associated parameter determination module 504, an operation cost determination module 506, an operation cost superposition module 508 and an optimization parameter value determination module 510, wherein:

[0148] The operation information acquisition module 502 is used to acquire the current operation information of the circulating water system; the circulating water system includes multiple devices; the current operation information includes parameter values ​​of multiple operation parameters; each operation parameter includes at least one adjustable parameter;

[0149] An associated parameter determination module 504 is used to determine, for each device, a device associated parameter associated with the device from each operating parameter;

[0150] An operation cost determination module 506, configured to perform operation cost analysis on the equipment based on parameter values ​​of equipment-associated parameters to determine the equipment operation cost of the equipment;

[0151] An operation cost superposition module 508 is used to superimpose the equipment operation costs of each equipment to obtain the system operation cost of the circulating water system;

[0152] The optimized parameter value determination module 510 is used to optimize the system operation cost based on the adjustment range of the adjustable parameter and determine the optimized parameter value corresponding to the adjustable parameter.

[0153] In an exemplary embodiment, the associated parameter determination module 504 is specifically used to: for each device, determine the influencing factors affecting the operation process of the device and the associated factors associated with the operation process of the device;

[0154] Based on the influencing factors and the correlation factors, device-associated parameters associated with the device are screened out from the various operating parameters; the device-associated parameters match at least one of the influencing factors and the correlation factors.

[0155] In an exemplary embodiment, the operating cost determination module 506 is specifically configured to:

[0156] Obtaining a correspondence between a preset equipment operating cost and operating associated parameters for the equipment;

[0157] The parameter values ​​of the device-associated parameters are mapped to the corresponding relationships to determine the device operation cost of the device.

[0158] In an exemplary embodiment, the circulating water system parameter optimization device 500 further includes a corresponding relationship establishment module, including:

[0159] A virtual model building unit, used for building a virtual model corresponding to each device based on device attribute information of the device;

[0160] A historical parameter value acquisition unit, used to acquire the historical parameter values ​​of each device-associated parameter of the device at multiple historical moments;

[0161] A historical operation cost determination unit, for simulating the operation status of the equipment at each historical moment based on each historical parameter value and the virtual model, and determining the historical operation cost corresponding to each historical moment;

[0162] The corresponding relationship determining unit is used to determine the corresponding relationship between the equipment operating cost and the operation-related parameter based on each historical operating cost and each historical parameter value.

[0163] In an exemplary embodiment, the historical parameter value obtaining unit is specifically used to:

[0164] Obtain the initial historical parameter values ​​of each device-associated parameter of the device at multiple historical moments;

[0165] When there is an abnormal parameter value in each of the initial historical parameter values, determining the abnormal historical moment to which the abnormal parameter value belongs;

[0166] According to the initial historical parameter values ​​corresponding to the adjacent historical moments of the abnormal historical moment, numerical interpolation is performed on the abnormal historical moment to determine the historical parameter value corresponding to the abnormal historical moment.

[0167] In an exemplary embodiment, the optimization parameter value determination module 510 is specifically used to: determine a plurality of candidate parameter values ​​corresponding to the adjustable parameter based on the adjustment range of the adjustable parameter;

[0168] According to each candidate parameter value, the parameter value corresponding to the adjustable parameter is updated respectively, and a plurality of update device costs corresponding to the device to which the adjustable parameter belongs are determined;

[0169] For each updated equipment cost, determine the updated system cost corresponding to the updated equipment cost;

[0170] From each updated system cost, an optimized system cost that meets the optimization condition is determined, and the candidate parameter value corresponding to the optimized system cost is determined as the optimized parameter value corresponding to the adjustable parameter.

[0171] Each module in the above-mentioned circulating water system parameter optimization device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0172] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for optimizing the parameters of a circulating water system is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0173] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0174] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above method when executing the computer program.

[0175] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0176] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0177] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0178] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0179] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0180] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for optimizing parameters of a circulating water system, characterized in that: The method comprises: Acquire current operation information of a circulating water system; the circulating water system includes a plurality of devices; the current operation information includes respective parameter values ​​of a plurality of operation parameters; each of the operation parameters includes at least one adjustable parameter; For each of the devices, determining a device-associated parameter associated with the device from the operating parameters; Based on the parameter values ​​of the device-associated parameters, performing an operation cost analysis on the device to determine the device operation cost of the device; Adding up the equipment operation costs of each of the equipment, the system operation cost of the circulating water system is obtained; Based on the adjustment range of the adjustable parameter, the system operation cost is optimized, and the optimized parameter value corresponding to the adjustable parameter is determined.

2. The method according to claim 1, characterized in that: The step of determining, for each of the devices, a device-associated parameter associated with the device from each of the operating parameters includes: For each of the devices, determining influencing factors affecting the operation process of the device and associated factors associated with the operation process of the device; Based on the influencing factors and the association factors, a device-associated parameter associated with the device is screened out from each of the operating parameters; the device-associated parameter matches at least one of the influencing factors and the association factors.

3. The method according to claim 1, characterized in that The performing operation cost analysis on the device based on the parameter value of the device-associated parameter to determine the device operation cost of the device includes: Obtaining a correspondence between a preset equipment operating cost and an operation-related parameter for the equipment; The parameter value of the device-associated parameter is mapped to the corresponding relationship to determine the device operation cost of the device.

4. The method according to claim 3, characterized in that: The process of establishing the corresponding relationship between the equipment operation cost and the operation-related parameters includes: For each of the devices, based on the device attribute information of the device, construct a virtual model corresponding to the device; Obtaining respective historical parameter values ​​of each device-associated parameter of the device at multiple historical moments; Based on the historical parameter values ​​and the virtual model, respectively simulate the operating state of the equipment at each historical moment, and determine the historical operating cost corresponding to each historical moment; Based on each of the historical operating costs and each of the historical parameter values, a corresponding relationship between the equipment operating cost and the operation-related parameter is determined.

5. The method according to claim 4, characterized in that The obtaining of the historical parameter values ​​of the device-associated parameters of the device at multiple historical moments includes: Obtaining respective initial historical parameter values ​​of each device-associated parameter of the device at multiple historical moments; In the case where there is an abnormal parameter value in each of the initial historical parameter values, determining the abnormal historical moment to which the abnormal parameter value belongs; According to the initial historical parameter value corresponding to the adjacent historical moment of the abnormal historical moment, the abnormal historical moment is numerically interpolated to determine the historical parameter value corresponding to the abnormal historical moment.

6. The method according to claim 1, characterized in that The optimizing the system operation cost based on the adjustment range of the adjustable parameter and determining the optimized parameter value corresponding to the adjustable parameter includes: Based on the adjustment range of the adjustable parameter, determining a plurality of candidate parameter values ​​corresponding to the adjustable parameter; According to each of the candidate parameter values, the parameter values ​​corresponding to the adjustable parameters are updated respectively, and a plurality of update device costs corresponding to the devices to which the adjustable parameters belong are determined; For each of the update equipment costs, determining an update system cost corresponding to the update equipment cost; An optimized system cost satisfying an optimization condition is determined from each of the updated system costs, and a candidate parameter value corresponding to the optimized system cost is determined as the optimized parameter value corresponding to the adjustable parameter.

7. A circulating water system parameter optimization device, characterized in that: The device comprises: An operation information acquisition module is used to acquire current operation information of a circulating water system; the circulating water system includes a plurality of devices; the current operation information includes respective parameter values ​​of a plurality of operation parameters; each of the operation parameters includes at least one adjustable parameter; An associated parameter determination module, configured to determine, for each of the devices, a device associated parameter associated with the device from the operating parameters; An operation cost determination module, configured to perform an operation cost analysis on the device based on the parameter value of the device-associated parameter to determine the device operation cost of the device; An operation cost superposition module, used for superimposing the equipment operation costs of the respective equipment to obtain the system operation cost of the circulating water system; The optimized parameter value determination module is used to optimize the system operation cost based on the adjustment range of the adjustable parameter and determine the optimized parameter value corresponding to the adjustable parameter.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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