CN117872945A - Modular intelligent control method and system for plate heat exchanger unit - Google Patents
Modular intelligent control method and system for plate heat exchanger unit Download PDFInfo
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Abstract
The invention relates to the technical field of heat exchanger systems, and particularly discloses a modular intelligent control method and system for a plate heat exchanger unit, wherein the modular intelligent control method comprises the steps of collecting operation data of the plate heat exchanger unit, and analyzing and processing the operation data; processing the operation work data by using a group intelligent algorithm, and outputting an optimal control strategy; transmitting the optimal control strategy to a control system of the plate heat exchanger unit, and selecting a proper control module and a proper control algorithm by the control system according to the optimal control strategy; the control module calculates the optimal operation parameters of the plate heat exchanger unit according to a control algorithm; and adjusting the operation state of the plate heat exchanger unit according to the optimal operation parameters. The invention realizes the dynamic control of the plate heat exchanger unit, improves the control precision of a heat exchanger unit control system, improves the continuity of heat exchanger group investment and the heat exchange effect, and reduces the energy consumption.
Description
Technical Field
The invention relates to the technical field of heat exchanger systems, in particular to a modular intelligent control method and system for a plate heat exchanger unit.
Background
The plate heat exchanger unit consists of plate heat exchanger, pump, instrument, electric equipment, control system and necessary accessory equipment, and may be used in heat exchange between fluid to meet technological requirement. The plate heat exchanger system is a high-efficiency, energy-saving and compact heat exchange system, and consists of a plate heat exchanger, a pipe network, a water pump, a valve, a sensor, a control cabinet and the like. The plate heat exchanger system has the advantages of high efficiency, energy saving, compactness, light weight, easy maintenance and cleaning, high reliability, wide adaptability and the like, and is widely applied to the field of central air conditioners.
At present, most control means are to improve the energy-saving effect of the plate heat exchanger unit by optimizing the structure of the plate heat exchanger, but for the plate heat exchanger unit of a plurality of plate heat exchangers under complex working conditions, the structure function of the plate heat exchanger is not enough to be optimized, and optimization measures such as linkage among the heat exchangers, a control strategy of a heat exchanger group, energy saving of a water pump and an electric valve and the like are needed to be considered.
For the plate heat exchanger unit of a plurality of plate heat exchangers under complex working conditions, the temperature regulation problem is solved only by regulating the quantity of the plate heat exchangers, so that the plate heat exchangers cannot always keep the optimal working state, the system operation energy consumption is high, the control precision is low, the circulating pump and the valve are continuously started and stopped, the plate heat exchangers are continuously switched, and the use quality of end users is affected. The control system of the plate heat exchanger unit belongs to a complex multi-parameter, long-time-lag and multi-interference time-varying nonlinear system, has poor conventional PID control effect, has the defects of complex debugging, poor robustness, low reaction speed, high energy consumption and the like, and needs to optimize the system control. The single fixed control mode is difficult to realize optimal automatic control, so that the plate heat exchanger unit is unstable in operation, the circulating water pump and the regulating valve frequently act, the operation energy consumption is high, and dynamic adjustment and optimization are needed.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a modular intelligent control method and a modular intelligent control system for a plate heat exchanger unit, which are used for realizing dynamic control of the plate heat exchanger unit, improving the control precision of a control system of the heat exchanger unit, improving the continuity of heat exchanger group investment and heat exchange effect and reducing energy consumption.
A modular intelligent control method for a plate heat exchanger unit comprises the following steps:
s1: collecting operation data of the plate heat exchanger unit, and analyzing and processing the operation data;
s2: processing the operation work data by using a group intelligent algorithm, and outputting an optimal control strategy;
s3: transmitting the optimal control strategy to a control system of the plate heat exchanger unit, and selecting a proper control module and a proper control algorithm by the control system according to the optimal control strategy;
s4: the control module calculates the optimal operation parameters of the plate heat exchanger unit according to a control algorithm;
s5: and adjusting the operation state of the plate heat exchanger unit according to the optimal operation parameters.
Further, the operation data comprise outdoor temperature and humidity, system time, heat exchanger condensation side temperature, pressure and flow, heat exchanger heat exchange side temperature, pressure and flow, regulating valve opening degree, butterfly valve opening state, plate heat exchanger input quantity, heat exchange area of each heat exchanger and flow rate of the heat exchanger; the method for analyzing and processing the operation work data comprises the steps of removing invalid data to form valid data in a unified format.
Further, the swarm intelligence algorithm is a particle swarm algorithm, and the method for processing the operation work data by using the swarm intelligence algorithm comprises the following steps,
s21: initializing particle swarm parameters by operating the working data, wherein each particle comprises related technical parameters of the plate heat exchanger unit;
s22: randomly initializing the position and the speed of each particle, and outputting an individual history optimal position, a group history optimal position, an individual history optimal adaptation value and a group history optimal adaptation value;
s23: inputting a minimum difference value reaching the maximum iteration number and the adaptation value between the two iterations, if the minimum difference value reaching the maximum iteration number or the adaptation value between the two iterations is reached, entering S25, otherwise entering S24;
s24: updating the speed and the position of each particle, calculating the adaptive value of each particle, updating the individual historical optimal adaptive value and the position of each particle and other particle swarm parameters, and returning to S23;
s25: and outputting an optimal control strategy according to the iteration result.
Further, the particle swarm parameters include particle swarm size, particle dimension, iteration number, inertial weight, learning factor, and iteration step size range.
Further, the control module comprises a fuzzy control module and an expert system module, wherein the fuzzy control module is selected when parameters of the data feedback system change frequently, and the expert system module is selected when the system operates under a multi-interference working condition.
Further, the control module calculates the operation parameters of the plate heat exchanger unit according to the control algorithm to obtain a condensation side temperature set value and a heat exchange side temperature set value of the plate heat exchanger unit and PID control parameters, wherein the PID parameters comprise proportional gain, integral time and differential time, and the control module transmits the condensation side temperature set value and the heat exchange side temperature set value and the PID control parameters to a PLC (programmable logic controller) of the plate heat exchanger unit. And the PLC controls the primary regulating valve of the plate heat exchanger unit, the input quantity of the heat exchanger unit and the heat exchange area of the heat exchanger according to the optimal control parameters.
The control system adopts the modular intelligent control method of the plate heat exchanger unit, and comprises an automatic control module, a plate heat exchanger, a PLC (programmable logic controller), an electric control valve, a chilled water pipe network, a user pipe network, a condensation end monitoring assembly respectively connected in series on the chilled water pipe network and a heat exchange end monitoring assembly connected in series on the user pipe network, wherein the chilled water pipe network is communicated to a condensation end of the plate heat exchanger, the heat exchange end of the plate heat exchanger is connected to the user pipe network, the electric control valve is connected in series on the chilled water pipe network, the PLC is used for controlling the electric control valve, and the PLC, the condensation end monitoring assembly and the heat exchange end monitoring assembly are in communication connection with the automatic control module.
Further, the condensing end monitoring assembly and the heat exchange end monitoring assembly comprise a temperature sensor, a pressure sensor and a flowmeter, and the temperature sensor, the pressure sensor and the flowmeter are in communication connection with the automatic control module.
Further, the intelligent cloud computing system further comprises a cloud database, wherein the automatic control module is used for uploading operation work data to the cloud database, and the cloud database is used for providing work data for constructing a group intelligent algorithm.
According to the modular intelligent control method and system for the plate heat exchanger unit, the optimal control strategy of the plate heat exchanger unit is dynamically selected through calculation of the group intelligent algorithm according to the collected operation data, the control module selects the proper control module and control algorithm according to the optimal control strategy, and the optimal operation parameters of the plate heat exchanger unit are calculated according to the control algorithm, so that the accuracy and the robustness of an automatic control system are improved, the control precision of the control system of the heat exchanger unit is improved, the continuity and the heat exchange effect of the heat exchanger group input are improved, the plate heat exchanger unit system is simplified and efficient, frequent actions of a circulating water pump and a gate are reduced, and the maximum energy consumption saving is realized.
Drawings
For a clearer description of embodiments of the invention or of solutions in the prior art, the drawings which are used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a modular intelligent control method for a plate heat exchanger unit according to the present invention;
fig. 2 is a flowchart of a particle swarm algorithm in a modular intelligent control method of a plate heat exchanger set according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Specifically, as shown in fig. 1 to 2, a modular intelligent control method for a plate heat exchanger unit includes:
s1: collecting operation data of the plate heat exchanger unit, analyzing and processing the operation data, collecting operation data of a condensation side and a heat exchange side through an electric control valve, a flowmeter, a temperature sensor, a pressure sensor and a PLC (programmable logic controller) arranged on a pipeline of the plate heat exchanger unit, and storing the operation data by using a cloud database;
s2: processing the operation data by using an intelligent swarm algorithm, and outputting an optimal control strategy, wherein the intelligent swarm algorithm comprises an ant swarm algorithm and a particle swarm algorithm;
s3: transmitting the optimal control strategy to a control system of the plate heat exchanger unit, and selecting a proper control module and a proper control algorithm by the control system according to the optimal control strategy; the control module provides a modularized interface for supporting a plurality of automatic control modules, can dynamically select different types of control algorithms such as fuzzy control, neural network, expert system, learning control, self-adaptive control and the like, has strengthening and transfer learning functions, and continuously optimizes control parameters;
s4: the control module calculates the optimal operation parameters of the plate heat exchanger unit according to a control algorithm;
s5: adjusting the operation state of the plate heat exchanger unit according to the optimal operation parameters; the optimal control strategy of the plate heat exchanger unit is dynamically selected according to the collected operation data, and the accuracy and the robustness of the automatic control system are improved; through a swarm intelligence algorithm, the big data analysis and processing capacity is improved, and the control precision of a heat exchanger unit control system is improved; by configuring the adjustable heat exchange area and controlling the fluid speed of the heat exchangers, the continuity of the input of the heat exchanger groups (the input quantity of the heat exchangers is optimized into linear continuous type from discrete type) and the heat exchange effect are improved, so that the plate heat exchanger unit system is simplified and efficient, the frequent actions of the circulating water pump and the gate are reduced, and the maximum energy consumption saving is realized.
Specifically, the operation data include outdoor temperature and humidity, system time, heat exchanger condensation side temperature, pressure and flow, heat exchanger heat exchange side temperature, pressure and flow, regulating valve opening, butterfly valve opening state, plate heat exchanger input quantity, heat exchange area of each heat exchanger and heat exchanger flow rate; the method for analyzing and processing the operation work data comprises the steps of removing invalid data to form valid data in a unified format.
Specifically, as shown in fig. 2, the swarm intelligence algorithm is a particle swarm algorithm, and the method for processing the operation data by using the swarm intelligence algorithm comprises,
s21: initializing particle swarm parameters by operating the working data, wherein each particle comprises related technical parameters of the plate heat exchanger unit;
s22: randomly initializing the position and the speed of each particle, and outputting an individual history optimal position, a group history optimal position, an individual history optimal adaptation value and a group history optimal adaptation value;
s23: inputting a minimum difference value reaching the maximum iteration number and the adaptation value between the two iterations, if the minimum difference value reaching the maximum iteration number or the adaptation value between the two iterations is reached, entering S25, otherwise entering S24;
s24: updating the speed and the position of each particle, calculating the adaptive value of each particle, updating the individual historical optimal adaptive value and the position of each particle and other particle swarm parameters, and returning to S23;
s25: and outputting an optimal control strategy according to the iteration result.
Specifically, the particle swarm parameters include particle swarm size, particle dimension, iteration number, inertia weight, learning factor, and iteration step size range.
Specifically, the control module comprises a fuzzy control module and an expert system module, wherein the fuzzy control module is selected when parameters of the data feedback system change frequently, and the expert system module is selected when the system operates under a multi-interference working condition.
Specifically, the control module calculates the operation parameters of the plate heat exchanger unit according to a control algorithm to obtain a condensation side temperature set value and a heat exchange side temperature set value of the plate heat exchanger unit and PID control parameters, wherein the PID parameters comprise proportional gain, integral time and differential time, and the control module transmits the condensation side temperature set value and the heat exchange side temperature set value and the PID control parameters to a PLC (programmable logic controller) of the plate heat exchanger unit. And the PLC controls the opening degree of the regulating valve of the plate-type heat exchanger unit, the input quantity of the heat exchanger unit and the heat exchange area of the heat exchanger according to the optimal control parameters.
The control system adopts the modular intelligent control method of the plate heat exchanger unit, and comprises an automatic control module, a plate heat exchanger, a PLC (programmable logic controller), an electric control valve, a chilled water pipe network, a user pipe network, a condensation end monitoring component and a heat exchange end monitoring component, wherein the condensation end monitoring component and the heat exchange end monitoring component are respectively connected in series on the chilled water pipe network; the condensing end monitoring component and the heat exchange end monitoring component are used for collecting temperature parameters, pressure parameters and flow of the condensing side and the heat exchange side of the plate heat exchanger unit, and the electric regulating valve uploads opening information of the electric regulating valve to the automatic control module in real time; the automatic control module provides modularized interfaces for supporting a plurality of automatic control modules for the pluggable automatic control module, can dynamically select different types of control algorithms such as fuzzy control, neural network, expert system, learning control, self-adaptive control and the like, and has strengthening and transferring learning functions so as to continuously optimize control parameters; and the parameters are sent to a PLC controller, the PLC controller controls the operation of the electric regulating valve through three regulating actions of proportion, integral and differential, so as to regulate the cold distribution of the plate heat exchanger unit, and simultaneously change the number of the plate heat exchangers and the exchange area of the plate heat exchanger unit, thereby achieving the optimal control effect of the plate heat exchanger unit.
Specifically, the condensing end monitoring assembly and the heat exchange end monitoring assembly all comprise a temperature sensor, a pressure sensor and a flowmeter, wherein the temperature sensor, the pressure sensor and the flowmeter are in communication connection with an automatic control module, and the condensing end monitoring assembly and the heat exchange end monitoring assembly further comprise a cloud database, the automatic control module is used for uploading operation data to the cloud database, and the cloud database is used for providing the operation data for constructing a swarm intelligent algorithm.
The invention has been further described with reference to specific embodiments, but it should be understood that the detailed description is not to be construed as limiting the spirit and scope of the invention, but rather as providing those skilled in the art with the benefit of this disclosure with the benefit of their various modifications to the described embodiments.
Claims (9)
1. The modular intelligent control method for the plate heat exchanger unit is characterized by comprising the following steps of:
s1: collecting operation data of the plate heat exchanger unit, and analyzing and processing the operation data;
s2: processing the operation data by using a swarm intelligence algorithm, and outputting an optimal control strategy;
s3: transmitting the optimal control strategy to a control system of the plate heat exchanger unit, wherein the control system selects a proper control module and a proper control algorithm according to the optimal control strategy;
s4: the control module calculates the optimal operation parameters of the plate heat exchanger unit according to a control algorithm;
s5: and adjusting the operation state of the plate heat exchanger unit according to the optimal operation parameters.
2. The intelligent control method of a plate heat exchanger unit according to claim 1, wherein the operation data includes outdoor temperature and humidity, system time, heat exchanger condensation side temperature, pressure, flow, heat exchanger heat exchange side temperature, pressure, flow, regulating valve opening, butterfly valve opening state, plate heat exchanger input quantity, heat exchange area of each heat exchanger and flow rate of the heat exchanger; the method for analyzing and processing the operation work data comprises the steps of removing invalid data to form valid data in a unified format.
3. The intelligent control method according to claim 1, wherein the intelligent group algorithm is a particle swarm algorithm, and the method for processing the operation data by using the intelligent group algorithm comprises the steps of,
s21: initializing particle swarm parameters by operating the working data, wherein each particle comprises related technical parameters of the plate heat exchanger unit;
s22: randomly initializing the position and the speed of each particle, and outputting an individual history optimal position, a group history optimal position, an individual history optimal adaptation value and a group history optimal adaptation value;
s23: inputting a minimum difference value reaching the maximum iteration number and the adaptation value between the two iterations, if the minimum difference value reaching the maximum iteration number or the adaptation value between the two iterations is reached, entering S25, otherwise entering S24;
s24: updating the speed and the position of each particle, calculating the adaptive value of each particle, updating the individual historical optimal adaptive value and the position of each particle and other particle swarm parameters, and returning to S23;
s25: and outputting an optimal control strategy according to the iteration result.
4. A plate heat exchanger unit modular intelligent control method as claimed in claim 3, wherein the particle swarm parameters comprise particle swarm size, particle dimension, iteration number, inertial weight, learning factor, iteration step size range.
5. The intelligent control method for plate heat exchanger unit according to claim 1, wherein the control module comprises a fuzzy control module and an expert system module, the fuzzy control module is selected when parameters of the data feedback system change frequently, and the expert system module is selected when the system operates under a multi-interference working condition.
6. A plate heat exchanger unit modular intelligent control method according to claim 1, wherein the control module calculates the operating parameters of the plate heat exchanger unit according to a control algorithm to obtain a condensation side temperature set value and a heat exchange side temperature set value of the plate heat exchanger unit, and PID control parameters, wherein the PID parameters include proportional gain, integral time, and differential time, and the control module transmits the condensation side temperature set value and the heat exchange side temperature set value, and the PID control parameters to a PLC controller of the plate heat exchanger unit. And the PLC controls the primary regulating valve of the plate heat exchanger unit, the input quantity of the heat exchanger unit and the heat exchange area of the heat exchanger according to the optimal control parameters.
7. The modular intelligent control system of the plate heat exchanger unit, the control system uses the modular intelligent control method of the plate heat exchanger unit according to any one of claims 1 to 6, and is characterized by comprising an automatic control module, a plate heat exchanger, a PLC (programmable logic controller), an electric control valve, a chilled water pipe network, a user pipe network, a condensation end monitoring assembly respectively connected in series on the chilled water pipe network and a heat exchange end monitoring assembly connected in series on the user pipe network, wherein the chilled water pipe network is communicated to the condensation end of the plate heat exchanger, the heat exchange end of the plate heat exchanger is connected to the user pipe network, the electric control valve is connected in series on the chilled water pipe network, and the PLC is used for controlling the electric control valve, and the PLC, the condensation end monitoring assembly and the heat exchange end monitoring assembly are in communication connection with the automatic control module.
8. The intelligent modular control system of a plate heat exchanger unit according to claim 7, wherein the condensing end monitoring assembly and the heat exchange end monitoring assembly each comprise a temperature sensor, a pressure sensor and a flow meter, and wherein the temperature sensor, the pressure sensor and the flow meter are in communication connection with the automatic control module.
9. The intelligent modular control system of a plate heat exchanger unit of claim 7, further comprising a cloud database, wherein the automated control module is configured to upload operational data to the cloud database, wherein the cloud database is configured to provide operational data for constructing a swarm intelligence algorithm.
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