Method, system and equipment for optimizing control of water flow and pressure of water pump in ice machine system

Abstract

A water outlet flow and pressure optimization control system for a water pump in an ice machine system comprises a water pump startup phase judgment unit, an ice machine system experience database unit, a water pump control target optimization model operation unit, a control parameter optimization model operation unit, a water pump operation number control unit, a water pump frequency adjustment model operation unit and a frequency adjustment unit. The ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended values ​​of the operation parameters of the water pump. The water pump control target optimization model operation unit outputs and updates the control target data. The control parameter optimization model operation unit operates the control parameter optimization model to output the control model parameters and related thresholds. The water pump frequency adjustment model operation unit operates the water pump frequency adjustment model to determine and output the optimal operation frequency. The frequency adjustment unit performs frequency adjustment according to the output optimal operation frequency data.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular to a method, system and equipment for optimizing the control of the water flow rate and pressure of a water pump in an ice machine system. Background Art

[0002] Ice machine systems are widely used in industrial fields, buildings and other scenarios, and the market potential for energy-saving products for ice machine systems is huge. The water pump is an important equipment in the ice machine system, responsible for transporting cooling water and chilled water, and is one of the main energy-consuming equipment in the ice machine system. At the same time, the operating conditions of the water pump not only affect its own energy consumption, but also have an important impact on the energy consumption of the entire ice machine system.

[0003] The optimization goal of water pump operation is to minimize the total energy consumption of the water pump while meeting the requirements of the cooling water or chilled water flow and pressure at the water pump outlet. The existing control of water pumps mainly relies on manual control by workers or simple PID control, which is not only prone to unstable control, but also inefficient and difficult to achieve the most economical operation mode. Summary of the invention

[0004] One of the purposes of the present invention is to provide a method, system and equipment for optimizing the control of the water outlet flow and pressure of a water pump in an ice machine system. The method can construct a multivariable model prediction based on the real-time data collected from the ice machine system and the user end, and perform real-time optimization control on the water outlet flow and pressure of the water pump, which not only saves labor costs, but also plays an energy-saving role in the operation of the ice machine system.

[0005] One of the purposes of the present invention is to provide a method, system and device for optimizing the water flow rate and pressure of a water pump in an ice machine system, which can

[0006] In order to achieve at least one of the inventive purposes of the present invention, a water outlet flow rate and pressure optimization control system for a water pump of an ice machine system is also provided, wherein the water outlet flow rate and pressure optimization control system for the water pump of the ice machine system comprises a water pump startup phase judgment unit, an ice machine system experience database unit, a water pump control target optimization model operation unit, a control parameter optimization model operation unit, a water pump operation number control unit, a water pump frequency adjustment model operation unit and a frequency adjustment unit, wherein when the judgment result of the water pump startup phase judgment unit is startup, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended operating parameter values ​​of the water pump, and when the judgment result of the water pump startup phase judgment unit is not startup, the water pump control target optimization model operation unit The row unit outputs and updates the control target data, the control parameter optimization model operation unit runs the control parameter optimization model, outputs the control model parameters and related thresholds, the water pump operation number control unit controls the number of cooling water pumps or freezing water pumps turned on, and determines whether it is necessary to cut in or cut out the water pump. When it is necessary to cut in or cut out the water pump, the cut-in or cut-out action is performed. When the judgment result is that it is not necessary, the water pump frequency adjustment model operation unit runs the water pump frequency adjustment model to determine and output the optimal operating frequency. The frequency adjustment unit performs frequency adjustment according to the output optimal operating frequency data, so that the number of water pumps in operation and the operating frequency are optimized and controlled in real time, and then the cooling water and freezing water outlet flow and pressure of the ice machine system are optimized and controlled in real time.

[0007] In some embodiments, the water pump operation number control unit is further configured to: keep the cooling water pump or the refrigeration water pump running at the same frequency, and when the number of running water pumps has not reached the upper limit, and the water pump operation frequency exceeds the optimal operating frequency of the water pump and the duration exceeds the set time limit, randomly add one water pump from the standby water pumps to put into operation; when more than one water pump is running, and the water pump fan operating frequency is less than the lower limit of the economic operating frequency range and the duration exceeds the set time limit, shut down the earliest water pump to be put into operation.

[0008] In some embodiments, the water pump frequency regulation model operation unit is further configured to: start the water pump frequency regulation model according to the deviation between the cooling water pump or the freezing water pump control target setting value and the actual value, and adjust the operating frequency of the water pump within the frequency regulation range optimized in the control parameter optimization model operation unit.

[0009] In some embodiments, during the water pump startup phase, based on the system heat load and the atmospheric dry-bulb and wet-bulb temperatures, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended operating parameter values ​​of the water pump.

[0010] In some embodiments, the ice machine system experience database unit is further configured to: based on the historical operation data of the ice machine system, continuously maintain the experience database module and construct an expert system so that each time the water pump is started, the current operation parameter recommended value can be output according to the operation environment.

[0011] In some embodiments, the control target parameters that need to be optimized are selected from: optimal heat exchange temperature difference of cooling water, optimal outlet flow rate of chilled water, and outlet pressure; wherein, the algorithm model of the water pump operation target optimization model is selected from fully connected neural network, extreme gradient boosting decision tree, random forest, support vector machine, and linear regression.

[0012] In some embodiments, the water pump control target optimization model of the water pump control target optimization model operation unit performs data mining on historical operation data based on artificial intelligence, and performs real-time optimization of the water pump control target value on the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity demand of the terminal equipment, so that the ice machine system can maintain the most economical operating state under different working conditions.

[0013] In some embodiments, the model parameters optimized in the control parameter optimization model operation unit include: system identification model parameters, PID control model parameters, upper and lower limits of the number of water pumps started under the current operating conditions, and upper and lower limits of frequency control; wherein, the optimization algorithm model is selected from: genetic algorithm, evolutionary algorithm, particle swarm algorithm, simulated annealing algorithm, PID parameter tuning algorithm, convex optimization algorithm, and regression algorithm.

[0014] According to another aspect of the present invention, a method for optimizing the water flow rate and pressure of a water pump of an ice machine system is provided. The method for optimizing the water flow rate and pressure of a water pump of an ice machine system comprises the following steps:

[0015] During the water pump startup phase, based on the system heat load and the atmospheric dry-bulb and wet-bulb temperatures, the experience database of the ice machine system is queried to determine the control target and recommended values ​​of the operating parameters of the water pump; during the operation phase, based on the current operating conditions, the water pump operation target optimization model is run to output and update the control target; the control parameter optimization model is run to optimize the control model parameters and related thresholds based on the current operating conditions and control effects; and according to the actual values ​​of the cooling water pump or chilled water pump control targets and related parameters, the number of cooling water pumps or chilled water pumps that are turned on and their operating frequency are adjusted.

[0016] In some embodiments, the method for optimizing the water flow rate and pressure of the ice machine system water pump further comprises the following steps:

[0017] Based on the historical operating data of the ice machine system, an experience database module is maintained so that each time the water pump is started, the recommended values ​​of the current operating parameters can be output according to the operating environment; data mining is performed on the historical operating data, and real-time optimization of the cooling water pump or chilled water pump control target value is performed on the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity requirements of the terminal equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 The present invention is a flowchart of a method for optimizing the water flow rate and pressure of a water pump in an ice machine system according to an embodiment of the present invention.

[0019] Figure 2 The present invention is a schematic diagram of the structure of a system in which a device for optimizing the control of the water outlet flow and pressure of a water pump of an ice machine system is located according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0021] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0022] The present invention is an invention related to a computer program. Figure 1 The flowchart of the method for optimizing the control of the water flow rate and pressure of the water pump of an ice machine system based on the present invention is shown, which explains the solution for solving the problem proposed by the present invention, based on the computer program processing flow, by executing the computer program compiled according to the above flow to control or process the external object or internal object of the computer. Through the method for optimizing the control of the water flow rate and pressure of the water pump of an ice machine system of the present invention, it is possible to use the computer system, through the methods of big data and artificial intelligence, supplemented by the model predictive control (MPC), industrial mechanism model and other technologies, to develop a set of advanced control models for the water pump of an ice machine system, and to optimize the control of the water flow rate and pressure of the cooling water and the chilled water in real time, so that the system is in the optimal operating state under different industrial control conditions, thereby achieving the purpose of energy saving of the system.

[0023] The water pumps used in the ice machine system include cooling water pumps and freezing water pumps, which are used to transport cooling water and freezing water respectively. The cooling water pump is responsible for pumping the cooling water from the cooling tower sump into the ice machine for heat exchange, and the cooling water from the ice machine is then cooled in the cooling tower. The control of the cooling water pump needs to minimize the overall energy consumption of the ice machine, cooling water pump, and cooling tower fan under the premise of meeting the heat exchange requirements of the ice machine and the pressure head of the cooling tower on the cooling water. The freezing water pump is responsible for pumping the freezing water from the user side into the ice machine for cooling, and the freezing water from the ice machine is returned to the user side. The freezing water side is subject to the heat load and constant temperature and humidity constraints on the user side. It is necessary to minimize the energy consumption of the freezing water pump and the heat load it brings to the ice machine while meeting the user side requirements. The operating parameters related to the design of the water pump control model mainly include: operating variables, controlled variables, and feedforward variables. The operating variables include the number of cooling water pumps / chilled water pumps in operation and the operating frequency of cooling water pumps / chilled water pumps. The controlled variables include pump outlet pressure, flow, ice machine cooling water temperature difference, chilled water outlet temperature, user-side chilled water pressure, flow, and cooling water inlet tower pressure. The feedforward variables include atmospheric dry and wet bulb temperatures and user-side heat exchange load.

[0024] The optimization goal of water pump operation is to minimize the total energy consumption of the water pump while meeting the requirements of the water pump outlet flow and pressure. The two feedforward variables that have the greatest impact on the operation of the ice machine system water pump are the dry and wet bulb temperatures of the atmosphere and the heat exchange load on the user side. By modeling the operating variables and controlled variables under different feedforward variable scenarios, obtaining the mapping relationship between the two, and then performing AI data mining, the optimal operating values ​​of the operating variables under different scenarios can be obtained.

[0025] It can be understood by those skilled in the art that the control method for optimizing the outlet flow and pressure of the ice machine system water pump of the present invention is basically similar to the control logic of the cooling water pump and the freezing water pump, except for the difference in the logic of determining the control target. The operation of the cooling water pump must meet the basic requirements of the cooling water outlet pressure (to ensure that the cooling water inlet tower pressure is greater than the set value) and the flow rate. On this basis, the specific flow rate is adjusted based on the heat exchange temperature difference of the cooling water in the ice machine. The heat exchange temperature difference is optimized in real time based on the external ambient temperature and the heat load of the ice machine. The operation of the freezing water pump must meet the basic flow rate of the freezing water, so that the freezing water outlet pressure meets the water pressure requirement of the terminal heat exchange equipment. At the operational level, what can be regulated is the number of cooling water pumps / freezing water pumps started and the operating frequency of the starting water pumps.

[0026] Specifically, Figure 1 As shown, the method for optimizing the water flow rate and pressure of the ice machine system water pump includes the following steps:

[0027] The first step is to query the experience database of the ice machine system to determine the control target and recommended operating parameters of the water pump based on the system heat load and the atmospheric dry and wet bulb temperatures during the water pump startup phase. Specifically, the water pump's minimum outlet pressure and flow rate, cooling water heat exchange temperature difference, chilled water's minimum outlet pressure and flow rate, the number of cooling pumps / chilled pumps to be started, and the operating frequency, etc.

[0028] The second step is to run the pump operation target optimization model based on the current operating conditions during the operation phase, output and update the control target. The control target parameters that need to be optimized include: optimal heat exchange temperature difference of cooling water, optimal outlet flow rate of chilled water, and outlet pressure. The algorithm model can be selected from fully connected neural network (FCN), extreme gradient boosting decision tree (Xgboost), random forest, support vector machine (SVM), linear regression (LR), etc.

[0029] The third step is to run the control parameter optimization model. Based on the current working conditions and control effects, the control model parameters and related thresholds are optimized. According to the selection of the control model, the model parameters that need to be optimized in this step may include: system identification model parameters, PID control model parameters, the upper and lower limits of the number of water pumps started under the current working conditions, and the upper and lower limits of frequency control, etc. The optimization algorithm model can be: genetic algorithm, evolutionary algorithm, particle swarm algorithm, simulated annealing algorithm, PID parameter tuning algorithm (such as critical proportionality method, attenuation curve method, empirical tuning method, etc.), convex optimization algorithm, regression algorithm, etc.

[0030] Furthermore, according to the cooling water pump / chilled water pump control target and the actual values ​​of related parameters, the number of cooling water pumps / chilled water pumps turned on and their operating frequency are adjusted.

[0031] More specifically, the method for optimizing the control of the water flow rate and pressure of the water pump of the ice machine system includes a number control step and a frequency control step.

[0032] The number control step includes the following steps: first, keep the cooling water pump / chilled water pump running at the same frequency respectively. When the number of running water pumps does not reach the upper limit, and the water pump operating frequency exceeds the optimal operating frequency of the water pump and the duration exceeds the set time limit, randomly add one water pump from the standby water pump to put into operation; when more than one water pump is running, and the water pump fan operating frequency is less than the lower limit of the economic operating frequency range and the duration exceeds the set time limit, shut down the first water pump to be put into operation. It should be noted that when executing the number of start-stop control operation process, the number of running water pumps must be within the range of the number of running water pumps optimized in step 3.

[0033] The frequency control step includes the following steps: starting the water pump frequency adjustment model according to the deviation between the cooling water pump / chilled water pump control target setting value and the actual value, and adjusting the operating frequency of the water pump within the frequency adjustment range optimized in the third step. The frequency adjustment algorithm can adopt a proportional integral differential controller (PID), a dynamic matrix control (DMC), a fuzzy control (FZ), a recurrent neural network (RNN) and an integrated algorithm model of multiple methods.

[0034] It is worth mentioning that in the water outlet flow and pressure optimization control method of the ice machine system water pump, an empirical database model is constructed. Based on the historical operation data of the ice machine system, the empirical database module is continuously maintained to create an "expert system" so that each time the water pump is started, the recommended values ​​of the current operating parameters can be output according to the operating environment.

[0035] It is worth mentioning that in the water outlet flow and pressure optimization control method of the ice machine system water pump, a water pump control target optimization model is constructed, and historical operation data is mined based on AI methods. On the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity requirements of the terminal equipment, the water pump control target value (cooling water heat exchange temperature difference, water pump outlet temperature and pressure) is optimized in real time, so that the system can maintain the most economical operating state under different working conditions.

[0036] It is worth mentioning that in the water outlet flow and pressure optimization control method of the ice machine system water pump, a control parameter optimization model is constructed. Based on the current operating conditions and control effects, the control model parameters and related thresholds are optimized in real time, so that the control model can adapt to the control conditions. The robustness of the model is enhanced, and the control effect is also made more stable by continuously optimizing the control range thresholds.

[0037] It is worth mentioning that in the water outlet flow and pressure optimization control method of the ice machine system water pump, a water pump operation number control model is constructed: under the premise of meeting the overall output of the water pump, the economic operation frequency range of each water pump is considered to optimize the overall water pump operation efficiency. At the same time, the selection of starting and stopping the water pump also tries to avoid the problem of frequent starting and stopping of the same water pump and excessive running time of the water pump.

[0038] It is worth mentioning that in the water outlet flow and pressure optimization control method of the ice machine system water pump, a water pump frequency regulation model is constructed: according to the control deviation, based on the control model designed according to the AI ​​coupling model predictive control method and the water pump working mechanism, the operating frequency of the water pump is adjusted within the optimized frequency range to finely control the controlled parameters.

[0039] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided in the form of methods, systems or computer program products. Therefore, the present invention may take the form of an all-hardware embodiment, an all-software embodiment, or a combination of software and hardware embodiments. A typical combination of hardware and software may be a general-purpose computer system with a computer program that, when loaded and executed, controls the computer system so that the method disclosed in the present invention can be performed.

[0040] The present invention may be embedded in a computer program product, which includes all the features that enable the method described herein to be implemented. The computer program product is contained in one or more computer-readable storage media, and the computer-readable storage medium has a computer-readable program code contained therein. According to another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method of the present invention can be performed. Computer storage media is a medium in a computer memory for storing a certain discontinuous physical quantity. Computer storage media include, but are not limited to, semiconductors, disk storage, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc. It can be understood by those skilled in the art that computer storage media are not limited to the aforementioned examples, and the aforementioned examples are merely examples and are not limited to the present invention.

[0041] According to another aspect of the present invention, a device for optimizing the flow rate and pressure of a water pump of an ice machine system is provided, the device comprising: a software application, a memory for storing the software application, and a processor for executing the software application. Each program part of the software application can correspondingly execute the steps of the method for optimizing the flow rate and pressure of a water pump of an ice machine system of the present invention. For example, in one embodiment, Figure 2 As shown, the water flow and pressure optimization control device of the ice machine system water pump is implemented as an algorithm server. All data on the ice machine system site are collected to the PLC, and then the PLC communicates with the algorithm server. The control instructions output by the algorithm control the actuator action through the PLC. At the same time, a host computer is configured at the operating end of the equipment site of the ice machine system to facilitate operators to monitor the operating status of the equipment. A remote management station is configured in the cloud, which can remotely iterate and upgrade the algorithm and related software in the algorithm server.

[0042] It will be appreciated by those skilled in the art that the method of the present invention can be implemented by hardware, software, or a combination of hardware and software. The present invention can be implemented in a centralized manner in at least one computer system, or in a decentralized manner by different parts distributed in several interconnected computer systems. Any computer system or other device that can implement the method is applicable. The combination of common hardware and software can be a general-purpose computer system with a computer program installed, and the computer system is controlled by installing and executing the program to make it run according to the method.

[0043] Corresponding to the embodiment of the method of the present invention, according to another aspect of the present invention, a water outlet flow rate and pressure optimization control system of a water pump of an ice machine system is provided, which is an application of the water outlet flow rate and pressure optimization control method of the water pump of the ice machine system of the present invention in the improvement of a computer program. The water outlet flow rate and pressure optimization control system of the water pump of the ice machine system includes a water pump startup phase judgment unit, a ice machine system experience database unit, a water pump control target optimization model operation unit, a control parameter optimization model operation unit, a water pump operation number control unit, a water pump frequency adjustment model operation unit and a frequency adjustment unit.

[0044] Furthermore, when the judgment result of the water pump startup phase judgment unit is startup, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended operating parameter values ​​of the water pump. When the judgment result of the water pump startup phase judgment unit is not startup, the water pump control target optimization model operation unit outputs and updates the control target data. The control parameter optimization model operation unit runs the control parameter optimization model to output the control model parameters and related thresholds. The water pump operation number control unit controls the number of cooling water pumps or freezing water pumps turned on and determines whether it is necessary to cut in or cut out the water pump. When it is necessary to cut in or cut out the water pump, the cut-in / cut-out action is performed. When the judgment result is not necessary, the water pump frequency adjustment model operation unit runs the water pump frequency adjustment model to determine and output the optimal operating frequency. The frequency adjustment unit performs frequency adjustment according to the output optimal operating frequency data, so that the cooling water and freezing water outlet flow and pressure of the ice machine system are optimized and controlled in real time.

[0045] Specifically, when the water pump startup phase judgment unit determines that the pump is started, it is the water pump startup phase. In the water pump startup phase, based on the system heat load and the atmospheric dry and wet bulb temperatures, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended operating parameter values ​​of the water pump. Preferably, the control target and recommended operating parameter values ​​of the water pump include: the minimum outlet water pressure and flow rate of the cooling water pump, the cooling water heat exchange temperature difference, the minimum outlet water pressure and flow rate of the chilled water, the number of cooling pump / chilled pump startups and the operating frequency, etc.

[0046] It is worth mentioning that the ice machine system experience database unit is also configured to: based on the historical operation data of the ice machine system, continuously maintain the experience database module and build an expert system so that each time the water pump is started, it can output the recommended values ​​of the current operating parameters according to the operating environment.

[0047] Furthermore, in the operation stage, based on the current operating conditions, the water pump control target optimization model operation unit operates the water pump operation target optimization model, outputs and updates the control target. Preferably, the control target parameters that need to be optimized include: optimal heat exchange temperature difference of cooling water, optimal outlet flow rate of chilled water, and outlet pressure. Preferably, the algorithm model of the water pump operation target optimization model is selected from a fully connected neural network (FCN), an extreme gradient boosting decision tree (Xgboost), a random forest (Randomforest), a support vector machine (SVM), a linear regression (LR), etc.

[0048] It is worth mentioning that the water pump control target optimization model of the water pump control target optimization model operation unit performs data mining on historical operation data based on artificial intelligence. On the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity requirements of the terminal equipment, the water pump control target value (cooling water heat exchange temperature difference, water pump outlet water temperature and pressure) is optimized in real time, so that the system can maintain the most economical operating state under different working conditions.

[0049] Furthermore, the control parameter optimization model operation unit is configured to: operate the control parameter optimization model, and optimize the control model parameters and related thresholds based on the current operating conditions and control effects. Preferably, according to the selection of the control model, the model parameters that need to be optimized in this step include: system identification model parameters, PID control model parameters, upper and lower limits of the number of water pumps started under the current operating conditions, and upper and lower limits of frequency control, etc. Preferably, the optimization algorithm model is selected from: genetic algorithm, evolutionary algorithm, particle swarm algorithm, simulated annealing algorithm, PID parameter tuning algorithm (such as critical proportionality method, attenuation curve method, empirical tuning method, etc.), convex optimization algorithm, regression algorithm, etc.

[0050] It is worth mentioning that the control parameter optimization model in the control parameter optimization model operation unit optimizes the control model parameters and related thresholds in real time based on the current operating conditions and control effects, so that the control model can adapt to the control conditions and enhance the robustness of the model. By continuously optimizing the control range thresholds, the control effect is also made more stable.

[0051] Furthermore, the water pump operation number control unit adjusts the number of cooling water pumps / chilled water pumps that are turned on according to the cooling water pump / chilled water pump control target and the actual values ​​of related parameters. More specifically, the water pump operation number control unit is also configured to: keep the cooling water pump / chilled water pump running at the same frequency, and when the number of running water pumps has not reached the upper limit, and the water pump operation frequency exceeds the optimal operating frequency of the water pump and the duration exceeds the set time limit, randomly add one more water pump from the standby water pumps to put into operation; when more than one water pump is running, and the water pump fan operating frequency is less than the lower limit of the economic operation frequency range and the duration exceeds the set time limit, shut down the first water pump that was put into operation.

[0052] It is worth mentioning that the water pump operation number control unit executes the number start and stop control operation process, and the number of operating water pumps must be within the water pump operation number range optimized in the control parameter optimization model operation unit.

[0053] It is worth mentioning that the water pump operation number control unit is equipped with a water pump operation number control model. Under the premise of meeting the overall output of the water pump, the economic operation frequency range of each water pump is taken into consideration to optimize the overall water pump operation efficiency. At the same time, the selection of starting and stopping the water pump also tries to avoid the problem of frequent starting and stopping of the same water pump and excessive running time of the water pump.

[0054] Furthermore, the water pump frequency regulation model operation unit is further configured to: start the water pump frequency regulation model according to the deviation between the cooling water pump / chilled water pump control target setting value and the actual value, and adjust the operating frequency of the water pump within the frequency regulation range optimized in the control parameter optimization model operation unit. Preferably, the frequency regulation algorithm is selected from a proportional integral differential controller (PID), a dynamic matrix control (DMC), a fuzzy control (FZ), a recurrent neural network (RNN), and an integrated algorithm model of multiple methods. The frequency regulation unit performs frequency regulation based on the optimal operating frequency output by the water pump frequency regulation model of the water pump frequency regulation model operation unit.

[0055] It is worth mentioning that the water pump frequency regulation model set by the water pump frequency regulation model operation unit is configured as follows: according to the control deviation, based on the control model designed according to the artificial intelligence coupling model predictive control method and the water pump working mechanism, the operating frequency of the water pump is adjusted within the optimized frequency range to finely control the controlled parameters.

[0056] It will be appreciated by those skilled in the art that the present invention has been described with reference to the flowcharts and / or block diagrams of the methods, systems and computer program products according to the present invention. Each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram, can obviously be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions (the instructions are passed through the processor of the computer or other programmable data processing device) generate a device for implementing the functions specified in one or more boxes of the flowchart and / or block diagram.

[0057] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A water flow and pressure optimization control system for a water pump in an ice machine system, characterized in that: The water outlet flow and pressure optimization control system of the ice machine system water pump includes a water pump startup phase judgment unit, an ice machine system experience database unit, a water pump control target optimization model operation unit, a control parameter optimization model operation unit, a water pump operation number control unit, a water pump frequency adjustment model operation unit and a frequency adjustment unit. When the judgment result of the water pump startup phase judgment unit is startup, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended values ​​of the operation parameters of the water pump. When the judgment result of the water pump startup phase judgment unit is not startup, the water pump control target optimization model operation unit outputs and updates the control target data. The control parameter optimization model operation unit runs the control parameter optimization model to output the control model parameters and related thresholds. The water pump operation number control unit controls the number of cooling water pumps or freezing water pumps turned on and judges whether it is necessary to cut in or cut out the water pump. When it is necessary to cut in or cut out the water pump, the cut-in or cut-out action is performed. When the judgment result is not necessary, the water pump frequency adjustment model operation unit runs the control parameter optimization model to output the control model parameters and related thresholds. A water pump frequency regulation model is implemented to determine and output the optimal operating frequency. The frequency regulation unit performs frequency regulation according to the output optimal operating frequency data, so that the number of water pumps in operation and the operating frequency are optimized and controlled in real time, and then the cooling water and chilled water outlet flow and pressure of the ice machine system are optimized and controlled in real time; wherein the water pump operation number control unit is further configured to: keep the cooling water pump or the chilled water pump in the same frequency operation respectively, when the number of water pumps in operation does not reach the upper limit, and the water pump operating frequency exceeds the optimal operating frequency of the water pump and the duration exceeds the set time limit, randomly add one water pump from the standby water pump to put into operation; when more than one water pump is in operation, and the water pump fan operating frequency is less than the lower limit of the economic operating frequency interval and the duration exceeds the set time limit, the earliest water pump put into operation is turned off; wherein the water pump frequency regulation model operation unit is further configured to: start the water pump frequency regulation model according to the deviation between the control target setting value and the actual value of the cooling water pump or the chilled water pump control, and adjust the operating frequency of the water pump within the frequency regulation range optimized in the control parameter optimization model operation unit.

2. The water flow rate and pressure optimization control system of the ice machine system water pump according to claim 1, characterized in that: During the water pump startup phase, based on the system heat load and the atmospheric dry-bulb and wet-bulb temperatures, the ice machine system experience database unit queries the ice machine system experience database to determine the control target and recommended values ​​of the operating parameters of the water pump.

3. The water flow rate and pressure optimization control system of the ice machine system water pump according to claim 1, characterized in that: The ice machine system experience database unit is further configured to: based on the historical operation data of the ice machine system, continuously maintain the experience database module and construct an expert system so that each time the water pump is started, the current operation parameter recommended value can be output according to the operation environment.

4. The water flow rate and pressure optimization control system of the ice machine system water pump according to claim 1, characterized in that: The control target parameters that need to be optimized are selected from: optimal heat exchange temperature difference of cooling water, optimal outlet flow rate of chilled water, and outlet pressure; among them, the algorithm model of the water pump operation target optimization model is selected from fully connected neural network, extreme gradient boosting decision tree, random forest, support vector machine, and linear regression.

5. The water flow rate and pressure optimization control system of the ice machine system water pump according to claim 1, characterized in that: The water pump control target optimization model of the water pump control target optimization model operation unit performs data mining on historical operation data based on artificial intelligence, and performs real-time optimization of the water pump control target value on the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity demand of the terminal equipment, so that the ice machine system can maintain the most economical operating state under different working conditions.

6. The water flow rate and pressure optimization control system of the ice machine system water pump according to claim 1, characterized in that: The model parameters optimized in the control parameter optimization model operation unit include: system identification model parameters, PID control model parameters, upper and lower limits of the number of water pumps started under the current operating conditions, and upper and lower limits of frequency control; wherein, the optimization algorithm model is selected from: genetic algorithm, evolutionary algorithm, particle swarm algorithm, simulated annealing algorithm, PID parameter tuning algorithm, convex optimization algorithm, and regression algorithm.

7. A method for optimizing the control of the water flow rate and pressure of a water pump of an ice machine system, applied to the water flow rate and pressure optimization control system of the water pump of an ice machine system as claimed in any one of claims 1 to 6, characterized in that: The method for optimizing the water flow rate and pressure of the ice machine system water pump comprises the following steps: During the water pump startup phase, based on the system heat load and the atmospheric dry-bulb and wet-bulb temperatures, the experience database of the ice machine system is queried to determine the control target and recommended values ​​of the operating parameters of the water pump; during the operation phase, based on the current operating conditions, the water pump operation target optimization model is run to output and update the control target; the control parameter optimization model is run to optimize the control model parameters and related thresholds based on the current operating conditions and control effects; and according to the actual values ​​of the cooling water pump or chilled water pump control targets and related parameters, the number of cooling water pumps or chilled water pumps that are turned on and their operating frequency are adjusted.

8. The method for optimizing the control of the water flow rate and pressure of the water pump of the ice machine system according to claim 7, characterized in that: The method for optimizing the water flow rate and pressure of the ice machine system water pump further comprises the following steps: Based on the historical operating data of the ice machine system, an experience database module is maintained so that each time the water pump is started, the recommended values ​​of the current operating parameters can be output according to the operating environment; data mining is performed on the historical operating data, and real-time optimization of the cooling water pump or chilled water pump control target value is performed on the premise of meeting the safe operation of the ice machine system equipment and the cooling capacity requirements of the terminal equipment.

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