CN-121979127-A - Control method and device for execution equipment in factory system and control equipment
Abstract
The application discloses a control method and device of execution equipment in a factory system and control equipment, and relates to the technical field of control. The method can predict medium parameters based on a first historical perception data sequence of a factory system acquired at a first moment and first weather forecast data of a prediction period to obtain a prediction result, determine initial control parameters of execution equipment based on the prediction result and the first weather forecast data with minimum running cost as targets, optimize the initial control parameters based on a second historical perception data sequence acquired at a later second moment and second weather forecast data of the prediction period to obtain target control parameters, and control the execution equipment based on the target control parameters. Because the execution equipment is not required to be manually controlled, the control precision of the execution equipment is improved. The media parameters can be predicted in advance, and the execution equipment can be controlled in advance based on the prediction result, so that prospective control can be realized.
Inventors
- WANG HONGYU
- LI XIANWEN
- LIU JIA
- ZHANG ZHENGYANG
- WANG GUANGYU
- LI XUEFEI
Assignees
- 内蒙古鑫华半导体科技有限公司
Dates
- Publication Date
- 20260505
- Application Date
- 20251223
Claims (10)
- 1. A control method for an execution device in a factory system, the method comprising: Acquiring a first historical perception data sequence of the factory system before a first moment and first weather forecast data of a forecast period at the first moment; based on the first historical perception data sequence, predicting medium parameters of a medium in the factory system to obtain a prediction result; based on the prediction result and the first weather forecast data, aiming at minimizing the running cost, determining initial control parameters for running control of the execution equipment in the plant system; Optimizing the initial control parameters based on a second historical perception data sequence of the plant system before a second moment and second weather forecast data of the prediction period, which are acquired at the second moment, to obtain target control parameters of the execution equipment, wherein the second moment is later than the first moment, the prediction period is later than the second moment, and the duration of the period of the second historical perception data sequence is smaller than the duration of the period of the first historical perception data sequence; And controlling the execution device to operate based on the target control parameter of the execution device so that the medium parameter of the medium is in a parameter range in the prediction period.
- 2. The method of claim 1, wherein determining initial control parameters for operation control of the execution devices in the plant system with the goal of minimizing operation costs based on the prediction result and the first weather forecast data comprises: Based on the prediction result and the first weather forecast data, acquiring a plurality of alternative control parameters, wherein after the execution equipment is controlled according to each alternative control parameter, the medium parameters of the medium can be positioned in the parameter range in the prediction period; acquiring the running cost of the execution equipment under each alternative control parameter; And determining the alternative control parameter with the lowest running cost as an initial control parameter of the execution device.
- 3. The method of claim 2, wherein the execution device is powered by electrical energy, wherein each of the alternative control parameters includes a start-stop control time, and wherein obtaining the running cost of the execution device for each of the alternative control parameters includes: Acquiring the energy consumption cost of the execution equipment based on the price of the electric energy in the start-stop control time, the running time of the execution equipment and the running power of the execution equipment, wherein the running time is determined based on the start-stop control time; and determining the operation cost of the execution equipment based on the energy consumption cost of the execution equipment, wherein the operation cost is positively related to the energy consumption cost.
- 4. The method of any one of claims 1 to 3, wherein the prediction result includes a predicted medium parameter of the medium, and optimizing the initial control parameter based on a second historical perceived data sequence of the plant system before a second time acquired at the second time and second weather forecast data of the prediction period to obtain a target control parameter of the execution device includes: Acquiring historical medium parameters of the medium in the second historical perception data sequence, first deviation from the predicted medium parameters, and second deviation of the second weather forecast data from the first weather forecast data; And fine-tuning the initial control parameter based on the first deviation and the second deviation to obtain a target control parameter of the execution device.
- 5. The method of claim 4, wherein optimizing the initial control parameter based on the first deviation and the second deviation to obtain the target control parameter of the execution device comprises: And if any one of the first deviation and the second deviation is larger than a corresponding deviation threshold, optimizing the initial control parameter based on any one of the deviations to obtain a target control parameter of the execution equipment.
- 6. A method according to any one of claims 1 to 3, wherein predicting the medium parameters of the medium in the plant system based on the first historical perceived data sequence to obtain a prediction result comprises: And predicting medium parameters of a medium in the factory system based on the first historical perception data sequence and the first weather forecast data to obtain a prediction result.
- 7. The method of claim 6, wherein predicting media parameters of media in the plant based on the first historical perceptual data sequence and the first weather forecast data to obtain a prediction result comprises: And inputting the first historical perception data sequence and the first weather forecast data into a prediction model to predict medium parameters of a medium in the plant system, so as to obtain a prediction result output by the prediction model.
- 8. A control apparatus for an execution device in a factory service system, the apparatus comprising: The acquisition module is used for acquiring a first historical perception data sequence of the factory system before the first moment and first weather forecast data of a forecast period at the first moment; The prediction module is used for predicting medium parameters of the medium in the factory system based on the first historical perception data sequence to obtain a prediction result; The determining module is used for determining initial control parameters for performing operation control on the execution equipment in the plant system by taking the minimum operation cost as a target based on the prediction result and the first weather forecast data; the optimizing module is used for optimizing the initial control parameters based on a second historical perception data sequence of the plant system before a second moment and second weather forecast data of the prediction period, and obtaining target control parameters of the execution equipment, wherein the second moment is later than the first moment, the prediction period is later than the second moment, and the duration of the period where the second historical perception data sequence is located is smaller than the duration of the period where the first historical perception data sequence is located; and the control module is used for controlling the execution device to operate based on the target control parameter of the execution device so that the medium parameter of the medium is in the parameter range in the prediction period.
- 9. Control device for a plant, characterized in that it comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which processor, when executing the computer program, implements the method according to any of claims 1-7.
- 10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-7.
Description
Control method and device for execution equipment in factory system and control equipment Technical Field The present application relates to the field of control technologies, and in particular, to a control method and apparatus for an execution device in a factory system, and a control device. Background In the modern industrial fields of petroleum, chemical industry, pharmacy, semiconductors, etc., a factory system (also called a public engineering system) is a core for ensuring production safety, stability and continuous operation. The factory system comprises a large number of medium storage and transportation equipment such as pipelines, storage tanks, reaction kettles and the like, and the medium storage and transportation equipment is internally circulated with mediums such as water, chemical agents, gases and the like. These media are relatively temperature sensitive. For example, in cold environment, water and aqueous medium can freeze, resulting in pipeline bursting, valve damage, and serious accidents such as leakage and production stoppage. In a high-temperature environment, the too high temperature of equipment or medium can lead to the reduction of production efficiency, unqualified product quality, shortened service life of equipment and even safety accidents. Currently, the control of the execution equipment (e.g., heat tracing equipment for heating the pipes) in the plant system is mainly dependent on the working experience of the operator to ensure that the temperature of the medium is within the set temperature range. But the control accuracy of the execution device by manpower according to the working experience is low. Disclosure of Invention The application aims to solve the technical problem of lower control accuracy of the execution equipment by manpower according to working experience at least to a certain extent. To this end, a first object of the present application is to propose a control method of an execution device in a plant system, the method comprising: Acquiring a first historical perception data sequence of the factory system before a first moment and first weather forecast data of a forecast period at the first moment; based on the first historical perception data sequence, predicting medium parameters of a medium in the factory system to obtain a prediction result; based on the prediction result and the first weather forecast data, aiming at minimizing the running cost, determining initial control parameters for running control of the execution equipment in the plant system; Optimizing the initial control parameters based on a second historical perception data sequence of the plant system before a second moment and second weather forecast data of the prediction period, which are acquired at the second moment, to obtain target control parameters of the execution equipment, wherein the second moment is later than the first moment, the prediction period is later than the second moment, and the duration of the period of the second historical perception data sequence is smaller than the duration of the period of the first historical perception data sequence; And controlling the execution device to operate based on the target control parameter of the execution device so that the medium parameter of the medium is in a parameter range in the prediction period. Optionally, determining, based on the prediction result and the first weather forecast data, an initial control parameter for performing operation control on the execution device in the plant system with the objective of minimizing operation cost includes: Based on the prediction result and the first weather forecast data, acquiring a plurality of alternative control parameters, wherein after the execution equipment is controlled according to each alternative control parameter, the medium parameters of the medium can be positioned in the parameter range in the prediction period; acquiring the running cost of the execution equipment under each alternative control parameter; And determining the alternative control parameter with the lowest running cost as an initial control parameter of the execution device. Optionally, the executing device is driven by electric energy, each of the alternative control parameters includes start-stop control time, and the running cost of the executing device under the condition of obtaining each of the alternative control parameters includes: Acquiring the energy consumption cost of the execution equipment based on the price of the electric energy in the start-stop control time, the running time of the execution equipment and the running power of the execution equipment, wherein the running time is determined based on the start-stop control time; and determining the operation cost of the execution equipment based on the energy consumption cost of the execution equipment, wherein the operation cost is positively related to the energy consumption cost. Optionally, the prediction result includes