Error elimination method and system for high pressure reverse osmosis membrane group control system
By acquiring and analyzing the cycle and historical data of the high-pressure reverse osmosis membrane group control system, calculating error data and determining the error elimination time, the stability and efficiency problems caused by cumulative errors in the system are solved, and the stability and membrane life of the system are improved.
Patent Information
- Application Number
- CN202510258199.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-06
- Publication Date
- 2025-04-01
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The cumulative error in the high-pressure reverse osmosis membrane group control system will affect the system efficiency and the service life of the membrane, resulting in accelerated membrane pollution and instability of the system.
By acquiring periodic system control data, calculating basic system error data, and analyzing error trend impact data based on historical system control data, determining the comprehensive system error data and error elimination work execution time, and regularly eliminating cumulative errors.
Effectively eliminate cumulative errors, improve the stability and efficiency of the high-pressure reverse osmosis membrane group control system, and extend the service life of the membrane.
Smart Images
Figure CN119733378A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of water treatment technology, and in particular to an error elimination method and system for a high-pressure reverse osmosis membrane group control system. Background Art
[0002] High-pressure reverse osmosis membrane groups are used for water treatment, such as seawater desalination or wastewater treatment. The control system needs to maintain stable pressure and flow, and the accumulated error will affect the efficiency of the system and the service life of the membrane. Generally speaking, high-pressure reverse osmosis membrane groups need to maintain accurate trans-membrane pressure difference, flow and recovery rate in scenarios such as seawater desalination and industrial water treatment. However, due to sensor drift, model mismatch, actuator response delay and long-term error accumulation of traditional PID integral terms in the high-pressure reverse osmosis membrane group control system, it will lead to accelerated membrane fouling, system instability and other problems. Therefore, it is necessary to regularly eliminate the accumulated errors of the high-pressure reverse osmosis membrane group control system. Summary of the invention
[0003] The present application provides a method and system for eliminating errors in a high-pressure reverse osmosis membrane group control system, which can realize error accumulation analysis and elimination processing of the high-pressure reverse osmosis membrane group control system.
[0004] In a first aspect, the present application provides a method for eliminating errors in a high-pressure reverse osmosis membrane group control system. The method comprises: Acquire periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time point when the high-pressure reverse osmosis membrane group control system was subjected to error elimination to the current time; Calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time point of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data; Analyze the error trend impact data based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system; The comprehensive system error data is determined according to the basic system error data and the error trend impact data, and the error elimination work execution time is determined based on the comprehensive system error data and a preset error threshold; the error elimination work execution time is a work time node for executing the error elimination work.
[0005] Further, the basic system error data is calculated according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data, including: Calculating first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; Calculate second error data based on the actuator delay times data and single actuator delay time data; Basic system error data is calculated based on the time length data, the first error data and the second error data.
[0006] Furthermore, the calculation method of the basic system error data includes: ; In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and, .
[0007] Further, the error trend influence data is analyzed based on the historical system control data; the historical system control data includes the historical period record data between the start of the high-pressure reverse osmosis membrane group control system and the current moment; the historical period record data includes, each period from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the next time node of error elimination of the high-pressure reverse osmosis membrane group control system. Basic system error data in the time period includes: Select q historical time periods with continuous time series, each of which includes historical period record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; Calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; If so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend impact data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
[0008] Furthermore, the calculation method of the comprehensive system error data includes: ; In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.
[0009] In a second aspect, the present application provides an error elimination system for a high-pressure reverse osmosis membrane group control system. The system comprises: An acquisition module is used to acquire periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time point when the high-pressure reverse osmosis membrane group control system was subjected to error elimination to the current time; A calculation module, used for calculating basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data; An analysis module is used to analyze the error trend impact data based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system; A determination module is used to determine the comprehensive system error data based on the basic system error data and the error trend impact data, and determine the error elimination work execution time based on the comprehensive system error data and a preset error threshold; the error elimination work execution time is the work time node for executing the error elimination work.
[0010] Further, the calculation module is further configured to calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data, including: Calculating first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; Calculate second error data based on the actuator delay times data and single actuator delay time data; Basic system error data is calculated based on the time length data, the first error data and the second error data.
[0011] Furthermore, the calculation module is further configured such that the calculation method of the basic system error data includes: ; In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and, .
[0012] Further, the analysis module is further configured to analyze the error trend impact data based on the historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the next time node of error elimination of the high-pressure reverse osmosis membrane group control system, including: Select q historical time periods with continuous time series, each of which includes historical period record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; Calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; If so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend impact data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
[0013] Furthermore, the determination module is further configured such that the calculation method of the comprehensive system error data includes:
[0014] In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.
[0015] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein: Figure 1 A flow chart showing an error elimination method of a high-pressure reverse osmosis membrane group control system in an embodiment of the present application is shown; Figure 2 A block diagram of an error elimination system of a high-pressure reverse osmosis membrane group control system in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0018] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0019] The present application provides a method and system for eliminating errors in a high-pressure reverse osmosis membrane group control system, which can realize error accumulation analysis and elimination processing of the high-pressure reverse osmosis membrane group control system.
[0020] In a first aspect, the present application provides a method for eliminating errors in a high-pressure reverse osmosis membrane group control system. Figure 1 The specific steps included in the method are as follows.
[0021] Step S110: Acquire periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time.
[0022] In an embodiment of the present application, the accumulated error elimination work of the high-pressure reverse osmosis membrane group control system is performed regularly, that is, periodically; the starting node of each cycle is the time node of the previous error elimination of the high-pressure reverse osmosis membrane group control system, and the end node of each cycle is the time node of the next error elimination of the high-pressure reverse osmosis membrane group control system.
[0023] It can be understood that, among the above information, the model mismatch error record data includes the water production deviation frequency data, the single water production deviation duration data and the membrane resistance coefficient increase data per unit time; these data can be recorded and monitored in real time based on the system, and recorded in local and cloud devices; and the above actuator delay frequency data and single actuator delay time data can be obtained by recording related hardware devices. For example, if the actuator is equipped with a position feedback sensor (such as a valve position transmitter), the PLC can calculate the actuator delay frequency data and the single actuator delay time data by comparing the instruction timestamp with the feedback arrival timestamp.
[0024] Step S120: Calculate basic system error data based on the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current moment, the model mismatch error record data, the actuator delay number data and the single actuator delay time data.
[0025] In an embodiment of the present application, calculating the basic system error data according to the periodic system control data specifically includes: calculating the first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; calculating the second error data according to the actuator delay frequency data and single actuator delay time data; calculating the basic system error data according to the time length data, the first error data and the second error data.
[0026] The calculation method of basic system error data specifically includes:
[0027] In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and, .
[0028] It is understandable that the membrane resistance coefficient here rises in total data The specific calculation method is the sum of all the membrane resistance coefficient increase data per unit time; it should be noted that the membrane resistance coefficient increase data per unit time here refers to the membrane resistance coefficient increase data recorded each time, and the recorded data includes the time length of the recording and the corresponding membrane resistance coefficient increase data.
[0029] It can be understood that when calculating the basic system error data, for the consideration of the first error data, when analyzing the water production deviation, the activation function is used to reflect the analysis of the number of water production deviations. If the number of water production deviations exceeds the threshold, the influence of the deviation number factor on the basic system error data will be greatly increased, but for the part exceeding the threshold, the growth is not so fast, that is, for the one time of exceeding the limit, its influence on the basic system error data is relatively large, while for the times lower than this time and higher than this time, the growth range of the slope of the corresponding image is not so large; and for the consideration of the second error data, the delay of the actuator means the beginning of the cumulative error, and there is no cumulative error if the actuator does not have a delay. Therefore, although the activation function is also used in the calculation of the second error data, the parameter of the activation function is whether the actuator has a delay.
[0030] Step S130: Analyze the error trend impact data based on the historical system control data; the historical system control data includes the historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes the basic system error data in each time period from the last time node for error elimination of the high-pressure reverse osmosis membrane group control system to the next time node for error elimination of the high-pressure reverse osmosis membrane group control system.
[0031] In the embodiment of the present application, the error trend impact data is analyzed based on the historical system control data, specifically including selecting q historical time periods with continuous time sequence, each historical time period including historical cycle record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; if so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend affecting the data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
[0032] Step S140: Determine the comprehensive system error data according to the basic system error data and the error trend impact data, and determine the error elimination work execution time based on the comprehensive system error data and the preset error threshold; the error elimination work execution time is the work time node for executing the error elimination work.
[0033] In the embodiment of the present application, the calculation method of the comprehensive system error data specifically includes:
[0034] In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.
[0035] It can be understood that after obtaining the comprehensive system error data, the comprehensive system error data is compared with the preset error threshold; the preset error threshold here represents the threshold that the comprehensive system error data should reach when the periodic cumulative error elimination working time node is reached; and if the comprehensive system error data is not less than the preset error threshold, it means that the periodic cumulative error elimination work should be performed at this time, instead of waiting until the next periodic cumulative error elimination working time node to start work; in this way, it is ensured that when the system's cumulative error increase is large due to special circumstances, the cumulative error elimination work is performed in advance.
[0036] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.
[0037] In a second aspect, the present application provides an error elimination system for a high-pressure reverse osmosis membrane group control system. Figure 2 As shown, the system includes an acquisition module 210 for acquiring periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the current moment; a calculation module 220 for calculating basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the current moment, the model mismatch error record data, the actuator delay number data and the single actuator delay time data; an analysis module 230 for calculating the basic system error data based on the historical system control data The historical system control data includes the historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes the basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system; a determination module 240 is used to determine the comprehensive system error data according to the basic system error data and the error trend influence data, and determine the error elimination work execution time based on the comprehensive system error data and the preset error threshold; the error elimination work execution time is the working time node for executing the error elimination work.
[0038] Further, the calculation module 220 is further configured to calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data, including: Calculating first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; Calculate second error data based on the actuator delay times data and single actuator delay time data; Basic system error data is calculated based on the time length data, the first error data and the second error data.
[0039] Furthermore, the calculation module 220 is further configured to calculate the basic system error data in the following manner:
[0040] In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and, .
[0041] Further, the analysis module 230 is further configured to analyze the error trend impact data based on the historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the next time node of error elimination of the high-pressure reverse osmosis membrane group control system, including: Select q historical time periods with continuous time series, each of which includes historical period record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; Calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; If so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend impact data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
[0042] Furthermore, the determination module 240 is further configured such that the calculation method of the comprehensive system error data includes:
[0043] In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.
[0044] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
[0045] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.
Claims
1. A method for eliminating errors in a high-pressure reverse osmosis membrane group control system, characterized in that: include: Acquire periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time point when the high-pressure reverse osmosis membrane group control system was subjected to error elimination to the current time; Calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time point of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data; Analyze the error trend impact data based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system; The comprehensive system error data is determined according to the basic system error data and the error trend impact data, and the error elimination work execution time is determined based on the comprehensive system error data and a preset error threshold; the error elimination work execution time is a work time node for executing the error elimination work.
2. The method according to claim 1, characterized in that The basic system error data is calculated according to the periodic system control data; the basic system error data is associated with the time length data from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data, including: Calculating first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; Calculate second error data based on the actuator delay times data and single actuator delay time data; Basic system error data is calculated based on the time length data, the first error data and the second error data.
3. The method according to claim 2, characterized in that The calculation method of the basic system error data includes: ； In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and .
4. The method according to claim 3, characterized in that: The error trend impact data is analyzed based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination of the high-pressure reverse osmosis membrane group control system to the next time node of error elimination of the high-pressure reverse osmosis membrane group control system, including: Select q historical time periods with continuous time series, each of which includes historical period record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; Calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; If so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend impact data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
5. The method according to claim 4, characterized in that The calculation method of the comprehensive system error data includes: ； In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.
6. An error elimination system for a high-pressure reverse osmosis membrane group control system, characterized in that: include: An acquisition module (210) is used to acquire periodic system control data; the periodic system control data includes model mismatch error record data, actuator delay number data and single actuator delay time data from the last time point when the high-pressure reverse osmosis membrane group control system was subjected to error elimination to the current time; A calculation module (220) is used to calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time point when the high-pressure reverse osmosis membrane group control system was error eliminated to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data; An analysis module (230) is used to analyze the error trend impact data based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system; A determination module (240) is used to determine comprehensive system error data based on the basic system error data and the error trend impact data, and determine an error elimination work execution time based on the comprehensive system error data and a preset error threshold; the error elimination work execution time is a work time node for executing the error elimination work.
7. The system according to claim 6, characterized in that The calculation module (220) is further configured to calculate basic system error data according to the periodic system control data; the basic system error data is associated with the time length data from the last time point of error elimination for the high-pressure reverse osmosis membrane group control system to the current time, the model mismatch error record data, the actuator delay number data and the single actuator delay time data, including: Calculating first error data according to the model mismatch error record data; the model mismatch error record data includes water production deviation frequency data, single water production deviation duration data and unit time membrane resistance coefficient increase data; Calculate second error data based on the actuator delay times data and single actuator delay time data; Basic system error data is calculated based on the time length data, the first error data and the second error data.
8. The system according to claim 7, characterized in that The calculation module (220) is further configured such that the calculation method of the basic system error data includes: ； In the formula, As the basic system error data; is the time length data; is the number of times the water production deviation exceeds the limit, and the number of times the water production deviation exceeds the limit is the difference between the water production deviation number data and the deviation threshold, is the duration data of the i-th water production deviation, It is the total data of membrane resistance coefficient increase; , are the preset water production deviation weight and the preset membrane resistance weight respectively, and ; is the actuator delay times data, is the j-th actuator delay time data; is a natural constant; , , are respectively a preset first weight, a preset second weight and a preset third weight; and, .
9. The system according to claim 8, characterized in that The analysis module (230) is further configured to analyze the error trend impact data based on historical system control data; the historical system control data includes historical period record data from the start of the high-pressure reverse osmosis membrane group control system to the current moment; the historical period record data includes basic system error data in each time period from the last time node of error elimination for the high-pressure reverse osmosis membrane group control system to the next time node of error elimination for the high-pressure reverse osmosis membrane group control system, including: Select q historical time periods with continuous time series, each of which includes historical period record data; the basic system error data of the pth historical time period is ; Among them, the first historical time period is the historical time period closest to the current moment, and the pth historical time period is the historical time period farthest from the current moment; Calculate q-1 error difference data … ;in, , …, ; Determine whether the above error difference data are all greater than 0 or not greater than 0; If so, the calculation formula for the error trend impact data is, ; If not, the calculation formula for the error trend impact data is, ;in, is the number of error difference data greater than 0, The number of error difference data that is not greater than 0.
10. The system according to claim 9, characterized in that The determination module (240) is further configured such that the calculation method of the comprehensive system error data includes: ； In the formula, is the comprehensive system error data, is the basic system error data, The error trend affects the data.