Method and device for verifying operation of flexible pipe control system, electronic equipment and medium

Abstract

The embodiment of the application discloses a kind of flexible control system operation verification method, device, electronic equipment and medium, it is related to green ammonia synthesis and chemical process control technical field, the method comprises: based on the historical operation data of flexible control system, construct the time series data set reflecting the historical operation condition of flexible control system, time series data set includes system commissioning state;Based on system commissioning state, at least one subsystem in flexible control system is carried out automatic mode commissioning rate analysis, at least one automatic commissioning rate index of flexible control system is obtained;Based on at least one automatic commissioning rate index, the operation stability of flexible control system is verified, and verification result is obtained, to generate visual verification report according to verification result.By defining the automatic commissioning rate quantitative index, the automatic adjustment stability of flexible control system under long-period operation condition can be evaluated, and objective, quantitative evaluation of long-period operation stability of flexible control system is realized.

Description

Technical Field

[0001] This application relates to the field of green ammonia synthesis and chemical process control technology, specifically to a method, apparatus, electronic equipment, and medium for verifying the operation of a flexible control system. Background Technology

[0002] With the large-scale development of grid-connected renewable energy power generation, the process of using fluctuating green electricity from wind and solar power to produce hydrogen and then synthesize green ammonia has attracted widespread attention. To address the intermittency and volatility of upstream wind and solar power generation, the industry has proposed the concept of a "flexible management and control system," which aims to achieve rapid response and stable absorption of upstream hydrogen fluctuations over a wide load range through multi-level coordinated control of multiple units such as water electrolysis for hydrogen production, air separation, and ammonia synthesis.

[0003] When verifying the operational stability of flexible control systems, related technologies mainly use qualitative descriptions such as "having the flexibility to operate under wide loads" or "being able to respond quickly" to evaluate the long-term operational stability of flexible control systems. However, they lack quantitative evaluation methods for system operational stability and have not established unified evaluation standards and verification methods. As a result, the verification results cannot reflect the performance of the system in actual operation and are difficult to use as an objective basis for project acceptance. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and medium for verifying the operation of a flexible control system, in order to solve the problem that the lack of a standardized quantitative evaluation system in related technologies makes it difficult to objectively quantify and verify the long-term operational stability of flexible control systems.

[0005] In a first aspect, embodiments of this application provide an operational verification method for a flexible control system. The method includes: constructing a time-series data set reflecting the historical operating conditions of the flexible control system based on its historical operational data; the time-series data set includes system deployment status, which indicates the historical control modes of the flexible control system; performing automatic mode deployment rate analysis on at least one subsystem within the flexible control system based on the system deployment status to obtain at least one automatic deployment rate index for the flexible control system; and verifying the operational stability of the flexible control system based on the at least one automatic deployment rate index to obtain verification results, thereby generating a visual verification report based on the verification results.

[0006] In some embodiments, constructing a time-series data set reflecting the historical operating conditions and system commissioning status of the flexible control system based on its historical operating data includes: acquiring historical operating data of the flexible control system within a preset operating cycle to construct an initial time-series data set. The fields of the initial time-series data set include at least one of the following: sampling timestamp, system load, flexible condition flag, and system commissioning status flag of at least one subsystem. The flexible condition flag is used to indicate whether the flexible control system meets the conditions for flexible adjustment. Based on the system load and the flexible condition flag, the historical operating data in the initial time-series data set is filtered for validity to obtain the time-series data set.

[0007] In some embodiments, the conditions under which flexible adjustment can be applied include at least one of the following: the flexible control system is in a normal state, communication between at least one subsystem is in a normal state, and the operating boundary parameters of the flexible control system are within the allowable range.

[0008] In some embodiments, the validity screening of data in the initial time series data set based on system load and flexible condition flag bits to obtain the time series data set includes: determining the system load and flexible condition flag bits corresponding to a first sampling time in at least one sampling time in the initial time series data set, wherein the first sampling time is any sampling time in at least one sampling time; and determining the first sampling time as a valid sampling time when the system load is greater than a preset load threshold and the flexible condition flag bit is a target value, so as to construct the time series data set based on the historical operation data corresponding to the valid sampling time.

[0009] In some embodiments, based on the system deployment status of the flexible control system, an automatic deployment rate analysis is performed on at least one subsystem of the flexible control system to obtain at least one automatic deployment rate index of the flexible control system. Prior to this, the method includes: determining the effective verification duration of the flexible control system based on at least one effective sampling time.

[0010] In some embodiments, at least one automatic activation rate indicator includes automatic activation rate and joint automatic activation rate. Based on the system activation status of the flexible control system, an automatic mode activation rate analysis is performed on at least one subsystem in the flexible control system to obtain at least one automatic activation rate indicator of the flexible control system, including: determining at least one system activation status flag bit of each subsystem at the effective sampling time; determining the automatic mode activation duration of each subsystem in automatic control mode based on the at least one system activation status flag bit; determining the automatic activation rate of each subsystem based on the automatic mode activation duration and the effective verification duration; determining the joint activation duration of at least one subsystem in automatic control mode based on the at least one system activation status flag bit; and determining the joint automatic activation rate of the flexible control system based on the joint activation duration and the effective verification duration.

[0011] In some embodiments, the operational stability of the flexible control system is verified based on at least one automatic activation rate indicator. The verification results include: if the combined automatic activation rate of at least one automatic activation rate indicator is greater than or equal to a preset activation rate threshold, the operational stability of the flexible control system is determined to meet the acceptance requirements, and the verification results are obtained; if the combined automatic activation rate of at least one automatic activation rate indicator is less than the preset activation rate threshold, the operational stability of the flexible control system is determined to not meet the acceptance requirements, and the verification results are obtained.

[0012] In some embodiments, generating a visual verification report based on the verification results includes: when the verification results indicate that the operational stability of the flexible control system does not meet the acceptance requirements, identifying at least one abnormal time period, where the abnormal time period is the time period during which at least one subsystem exits the automatic control mode; sorting the at least one abnormal time period to generate a detailed list of abnormal time periods for the flexible control system based on the sorting results; and generating a visual verification report based on the detailed list of abnormal time periods, at least one automatic deployment rate indicator, and the verification results.

[0013] In some embodiments, the abnormal period details table includes at least one of the following: the start and end time of the abnormal period, the duration of the abnormal period, the subsystem identifier that exited the automatic control mode, and the exit reason code.

[0014] Secondly, embodiments of this application provide an operation verification device for a flexible control system, the device comprising:

[0015] The construction unit is used to construct a time-series data set reflecting the historical operating conditions of the flexible control system based on the historical operating data of the flexible control system. The time-series data set includes the system commissioning status, which is used to indicate the historical control mode of the flexible control system. The analysis unit is used to perform automatic mode deployment rate analysis on at least one subsystem of the flexible control system based on the system deployment status, and obtain at least one automatic deployment rate index of the flexible control system. The verification unit is used to verify the operational stability of the flexible control system based on at least one automatic deployment rate indicator, obtain the verification results, and generate a visual verification report based on the verification results.

[0016] Thirdly, embodiments of this application provide an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor, wherein, when the processor runs the computer program, it performs the method described in any embodiment of the first aspect.

[0017] Fourthly, embodiments of this application provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform the methods described in any embodiment of the first aspect.

[0018] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, performs the method described in any embodiment of the first aspect.

[0019] This application provides an operational verification method for a flexible control system. Based on historical operational data of the flexible control system, a time-series data set reflecting the historical operating conditions of the system is constructed. This time-series data set includes the system's operational status, which indicates the historical control modes of the flexible control system. Based on the system's operational status, an automatic mode deployment rate analysis is performed on at least one subsystem within the flexible control system to obtain at least one automatic deployment rate index. Based on this automatic deployment rate index, the operational stability of the flexible control system is verified, and verification results are obtained. A visualized verification report is then generated based on these results. This application, by defining a quantitative index for the automatic deployment rate, can evaluate the automatic adjustment stability of the flexible control system under long-term operational conditions. It achieves an objective and quantitative evaluation of the long-term operational stability of the flexible control system, solving the problem of a lack of unified evaluation standards and verification methods in related technologies. This provides quantifiable data support for system design optimization and engineering acceptance.

[0020] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are merely embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort, and this application can be applied to other similar scenarios based on the provided drawings.

[0022] Figure 1 A flowchart illustrating the operation verification method of the first flexible control system provided in this application embodiment; Figure 2 A flowchart illustrating the operation verification method of the second flexible control system provided in this application embodiment; Figure 3 A schematic diagram of the structure of an operation verification device for a flexible control system provided in this application embodiment; Figure 4This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0023] Explanation of reference numerals in the attached figures: 300 - Operation verification device for flexible control system; 310 - Construction unit; 320 - Analysis unit; 330 - Verification unit; 400 - Electronic equipment; 401 - Communication interface; 402 - Processor; 403 - Memory; 404 - Bus system. Detailed Implementation

[0024] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. The described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0025] It should be noted that the terms "system," "device," "unit," and / or "module" used in this application are methods of distinguishing different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they can be replaced by other expressions.

[0026] Hereinafter, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include one or more of that feature.

[0027] With the large-scale development of grid-connected renewable energy power generation, the process of using fluctuating green electricity from wind and solar power to produce hydrogen and then synthesize green ammonia has attracted widespread attention. To address the intermittency and volatility of upstream wind and solar power generation, the industry has proposed the concept of a "flexible control system," which aims to achieve rapid response and stable absorption of upstream hydrogen fluctuations within a wide load range (e.g., 50%~110%) through multi-level coordinated control of the water electrolysis hydrogen production unit, air separation unit, and ammonia synthesis unit.

[0028] The relevant technologies include various flexible control schemes. For example, differentiated regulation under three operating conditions—energy shortage, balance, and surplus—can be achieved by setting up predictive engines, state determination, and tiered energy allocation modules; or physical-chemical coupled hydrogen storage can be achieved by combining organic hydrogen storage with spherical tank hydrogen storage to smooth hydrogen fluctuations; or the ammonia content at the synthesis tower inlet can be adjusted by injecting ammonia at the outlet of the syngas compressor to achieve rapid load following of the ammonia synthesis unit. The above technical solutions have shown certain effectiveness in single-point control or short-term regulation.

[0029] However, the relevant technologies still have the following drawbacks: First, there is a lack of quantitative evaluation methods for the long-term operational stability of flexible control systems. Related technologies mainly use qualitative descriptions such as "having the flexibility to operate under wide loads" or "being able to respond quickly," without providing a standardized verification method to evaluate whether each subsystem (such as electro-hydrogen coupling hydrogen production group control, advanced air separation control, advanced ammonia synthesis control, and real-time optimization (RTO)) can continuously and stably engage in automatic adjustment mode under continuous operation conditions for several months or even a year.

[0030] Second, the relevant evaluation methods failed to effectively link load conditions with automatic operation status. In actual operation, when the synthetic ammonia load is below a certain threshold (such as 50%) or under non-flexible conditions (such as equipment failure, maintenance, or failure to meet boundary conditions), some subsystems may be forced to exit automatic mode. This is a normal situation and should not be included in the stability assessment. However, the relevant technologies lack a mechanism for identifying and eliminating such periods, resulting in distorted evaluation results.

[0031] Third, there is a lack of unified quantitative evaluation indicators. Different projects and different suppliers use different statistical methods for the commissioning rate (such as average based on subsystems or time-weighted, and whether the joint probability of multiple subsystems being commissioned simultaneously needs to be considered), making it difficult to conduct horizontal comparisons and project acceptance.

[0032] To address the problems in related technologies, this application proposes an operational verification method for a flexible control system. This method constructs a time-series data set and uses a dual logic based on load thresholds and flexible condition flags to filter effective assessment periods, automatically identifying and extracting valid verification periods. Based on this, it defines the single-subsystem utilization rate and the combined automatic utilization rate of multiple subsystems, and establishes an automated verification process of "data acquisition, operating condition screening, status determination, indicator calculation, and report generation." This achieves standardized and reproducible testing of the automatic utilization rate of each subsystem under 50%~110% load conditions. Finally, the combined automatic utilization rate is compared with a preset utilization rate threshold to quantitatively verify the long-term operational stability of the system and generate a visual report, providing a unified judgment basis for project acceptance.

[0033] The following section provides a detailed description of the operation verification method for a flexible control system provided in this application, with reference to the accompanying drawings.

[0034] Figure 1 A flowchart illustrating the operation verification method of the first flexible control system provided in this application embodiment is shown. Figure 1 As shown, the operation verification method of the flexible control system includes steps S101-S103.

[0035] Step S101: Based on the historical operating data of the flexible control system, construct a time-series data set reflecting the historical operating conditions of the flexible control system.

[0036] In the embodiments of this application, the flexible control system is an automated control system used to cope with the fluctuations in upstream wind and solar power generation. It achieves stable operation over a wide load range by implementing multi-level coordinated control of multiple units such as water electrolysis for hydrogen production, air separation, and ammonia synthesis.

[0037] This application extracts key parameter time-series data from the historical database of the flexible control system over a long period of operation. This data reflects the operating load conditions of the flexible control system (such as the real-time load of synthetic ammonia), whether the system is under flexible conditions (such as whether key equipment is fault-free, whether communication is normal, and whether boundary parameters are within the allowable range), and the historical commissioning status of each subsystem in the flexible control system (i.e., the historical control mode of each subsystem, such as manual control mode and automatic control mode).

[0038] In actual operation, when the ammonia synthesis load falls below a certain threshold or is under non-flexible conditions (such as equipment failure, maintenance, or failure to meet boundary conditions), some subsystems may be forced to exit automatic mode. This is normal and should not be included in the operational stability assessment. Therefore, after data extraction, the raw data needs to be automatically cleaned and filtered to remove data from periods that should not be included in the operational stability assessment (i.e., data at the time when the load is below a certain threshold or the system is under non-flexible conditions). This results in the construction of a time-series dataset. This dataset is collected at fixed sampling intervals, covering operational data for several consecutive months or a year within the effective verification period, ensuring that subsequent evaluation results can accurately reflect the system's performance level under effective operating conditions.

[0039] Step S102: Based on the system commissioning status in the time series data set, perform automatic mode commissioning rate analysis on at least one subsystem in the flexible control system to obtain at least one automatic commissioning rate index of the flexible control system.

[0040] In the embodiments of this application, the system operational status is used to indicate the current control mode of each subsystem, including automatic control mode and manual control mode. Each subsystem is a key control unit constituting the flexible management and control system, including but not limited to: the electro-hydrogen coupling hydrogen production group control system, the advanced control system for the air separation unit, the advanced control system for the ammonia synthesis unit, and the real-time optimization system.

[0041] The automatic commissioning rate refers to the percentage of time the system is in automatic control mode during the effective verification period, reflecting the continuity and reliability of the system's automatic adjustment capability.

[0042] Optionally, at least one automatic activation rate indicator includes both automatic activation rate and combined automatic activation rate. The automatic activation rate refers to the percentage of time a specific subsystem is in automatic control mode; the combined automatic activation rate refers to the percentage of time all subsystems are simultaneously in automatic control mode.

[0043] Optionally, at least one automatic deployment rate indicator may also include a redundancy automatic deployment rate. The redundancy automatic deployment rate refers to the percentage of time during which at least k (e.g., 3) subsystems are simultaneously in automatic control mode within the effective verification period. k is the preset number of subsystems, and k is less than or equal to the total number of subsystems in the flexible control system. It is used to evaluate the redundancy reliability of the system, which can still maintain a certain level of automatic adjustment capability even when some subsystems exit automatic mode.

[0044] Step S103: Based on at least one automatic deployment rate indicator, verify the operational stability of the flexible control system, obtain the verification results, and generate a visual verification report based on the verification results.

[0045] In the embodiments of this application, operational stability verification refers to determining whether the long-term operational stability of the flexible control system meets the design requirements based on the system's automatic deployment rate index. When the automatic deployment rate index of the flexible control system meets the acceptance criteria, the long-term operational stability of the flexible control system is considered to meet the design requirements.

[0046] If the automatic deployment rate of the flexible management and control system fails to meet the acceptance criteria, further analysis of the reasons why each subsystem exits automatic control mode is required, along with optimization. Specifically, when the flexible management and control system does not meet the acceptance requirements, it automatically identifies and lists the abnormal periods that contribute the most (i.e., the time periods during which some subsystems exit automatic control mode), and sorts them from longest to shortest duration for maintenance personnel to analyze the reasons (such as equipment failure, communication interruption, boundary condition exceeding limits, human intervention, etc.).

[0047] Finally, based on the statistically analyzed abnormal time periods, automatic deployment rate indicators, and verification results, a visual verification report is generated. The visual verification report includes at least one of the following: basic information about the verification process (including the relevant verification duration), automatic deployment rate indicators for each subsystem and their judgment conclusions (e.g., pass / fail), a detailed table of abnormal time periods, and conclusions and recommendations (providing a comprehensive evaluation and improvement suggestions for the long-term operational stability of the flexible control system). The visual verification report presents the verification results intuitively in the form of charts and text.

[0048] The visual verification report can intuitively demonstrate the stability of the flexible control system during long-term operation. When the acceptance requirements are not met, the subsystems and corresponding time periods that cause the failure to meet the deployment rate can be quickly located, providing a clear direction for system optimization and troubleshooting.

[0049] In summary, based on the operational verification method for the flexible control system provided in this application, a time-series data set reflecting the historical operating conditions of the flexible control system is constructed based on its historical operational data. This time-series data set includes the system's operational status. Based on the system's operational status, an automatic mode deployment rate analysis is performed on at least one subsystem within the flexible control system to obtain at least one automatic deployment rate index. Based on this automatic deployment rate index, the operational stability of the flexible control system is verified, and verification results are obtained. A visualized verification report is then generated based on these results. This application, by defining a quantitative index for the automatic deployment rate, can evaluate the automatic adjustment stability of the flexible control system under long-term operational conditions. It achieves an objective and quantitative evaluation of the long-term operational stability of the flexible control system, solving the problem of a lack of unified evaluation standards and verification methods in related technologies. This provides quantifiable data support for system design optimization and engineering acceptance.

[0050] As one possible implementation method, Figure 2 A flowchart of the operation verification method of the second flexible control system provided in the embodiments of this application is shown. Figure 2 based on Figure 1 The illustrated embodiment further defines steps S101, S102, and S103. Figure 2 In the illustrated embodiment, step S101 includes steps S201 and S202, step S102 includes steps S203, S204, S205, S206, S207, and S208, and step S103 includes step S209, as shown. Figure 2 As shown, the method includes the following steps: Step S201: Obtain historical operating data of the flexible control system within a preset operating cycle to construct an initial time-series data set.

[0051] In the embodiments of this application, the preset operating period can be selected as 3 consecutive months, 6 months, or 8760 hours for the whole year. By statistically analyzing long-term operating data, the long-term operating performance of the flexible control system in the actual industrial production environment can be intuitively reflected, avoiding evaluation bias caused by the randomness of short-term data. It is understood that the preset operating period can be flexibly adjusted according to actual acceptance requirements, system commissioning time, and data availability. For example, a shorter period (such as 1 month) can be selected during the system trial operation phase, and data for the whole year can be selected during the formal acceptance phase. This application does not limit this.

[0052] The initial time-series dataset is an unfiltered, raw dataset containing all historical data from all sampling times. The initial time-series dataset must contain at least the following fields: Sampling timestamp The interval is less than or equal to 1 minute, which is used to uniquely identify each sampling time. System load Used to characterize the operating conditions of the flexible control system at the corresponding sampling time, using the real-time load of synthetic ammonia. For example, the unit is % of rated load; Flexible condition flag : Boolean value, provided by the host computer of the flexible control system, used to indicate whether the flexible control system meets the conditions for flexible adjustment at the corresponding sampling time (such as whether the flexible control system is in a normal state (such as whether the key equipment is faulty), whether the communication between at least one subsystem is in a normal state (such as whether the communication is normal), and whether the operating boundary parameters of the flexible control system are within the allowable range). When the system meets the conditions for flexible adjustment, the flexible condition flag is set to 1, otherwise it is set to 0. System activation status flags of each subsystem : A Boolean value used to indicate the control mode of the corresponding subsystem at the corresponding sampling time. It is set to 1 when the subsystem is in automatic control mode and to 0 when the subsystem is in manual control mode. For example, : Indicates the H2 operation status of the electro-hydrogen coupling hydrogen production group control system, 1 for automatic control mode, 0 for manual control mode; : Indicates the operational status of the advanced control system AIR of the air separation unit; 1 indicates automatic control mode, and 0 indicates manual control mode. : Indicates the NH3 operation status of the advanced control system of the ammonia synthesis unit. 1 indicates automatic control mode and 0 indicates manual control mode; : Indicates the real-time optimization (RTO) status of the system. 1 indicates online optimization mode, and 0 indicates offline or manual mode.

[0053] Optionally, the initial time-series data set may also include auxiliary parameters, such as the number of operating electrolyzers, hydrogen tank capacity, synthesis tower pressure, and catalyst bed temperature, to assist in tracing the source of abnormal operating conditions. When subsequent verification results show that the system's operational stability does not meet acceptance requirements, the changes in key equipment or process parameters during the abnormal period can be traced through auxiliary parameters to help determine the specific reasons why the subsystem exited automatic control mode.

[0054] Step S202: Based on the system load and flexibility condition flags, the historical operation data in the initial time series data set is filtered for validity to obtain the time series data set.

[0055] In the embodiments of this application, the validity screening involves removing data records that do not meet the assessment requirements from the initial time-series data set based on preset screening conditions, retaining only the data from the valid sampling times. The preset screening conditions are the assessment conditions defined in the acceptance criteria, which are defined as: ammonia synthesis load greater than 50% and the ability to implement flexible adjustment conditions.

[0056] Optionally, the system load and flexible condition flag corresponding to the first sampling time in at least one sampling time in the initial time series data set are determined, wherein the first sampling time is any sampling time in at least one sampling time; if the system load is greater than a preset load threshold and the flexible condition flag is a target value, the first sampling time is determined as a valid sampling time, so as to construct a time series data set based on the historical operation data corresponding to the valid sampling time.

[0057] Specifically, for each sampling time The following formula is used to determine whether a time is a "valid assessment moment" (i.e., a valid sampling moment):

[0058] in, express Is it a valid sampling time? Preset load threshold (e.g., 50% of rated load); Real-time load for ammonia synthesis; This is a flexible conditional flag. This is an indicator function. It takes the value 1 when the condition is true, indicating that the sampling time is a valid sampling time, and takes the value 0 when the condition is false, indicating that the sampling time is not a valid sampling time.

[0059] All historical operational data corresponding to valid sampling times are retained to construct a time-series dataset; data corresponding to invalid sampling times are removed and not included in subsequent calculations to avoid distortion of evaluation results.

[0060] Step S203: Determine the effective verification duration of the flexible control system based on at least one valid sampling time in the time series data set.

[0061] In the embodiments of this application, the effective verification time is the total duration of the effective sampling time, which includes all... The effective verification duration is obtained by summing the sampling times:

[0062] in, The sampling interval; This is the preset operating cycle.

[0063] Step S204: Determine at least one system activation status flag bit of each subsystem at the effective sampling time.

[0064] In the embodiments of this application, during the valid verification period, each valid sampling time in the time series data set is traversed, and the data of each subsystem (such as the electro-hydrogen coupling hydrogen production group control system) at that sampling time is read. Advanced control system for air separation unit Advanced control system for ammonia synthesis unit Real-time optimization system The system activation status flag is set to the value of the corresponding subsystem. The system activation status flag is a Boolean value used to indicate the control mode of the corresponding subsystem at the corresponding sampling time: when the flag is 1, it indicates that the subsystem is in automatic control mode; when the flag is 0, it indicates that the subsystem is in manual control mode.

[0065] Step S205: Based on at least one system activation status flag bit, determine the automatic mode activation duration of each subsystem in automatic control mode.

[0066] In the embodiments of this application, for any subsystem Based on the system activation status flags at all valid sampling times, the duration of the subsystem in automatic control mode is calculated. Specifically, the values ​​of the system activation status flags at valid sampling times are multiplied by the sampling interval to obtain the automatic mode activation duration of the subsystem. The formula for calculating the automatic mode activation duration of each subsystem is as follows:

[0067] in, For the corresponding subsystem The system's operational status flag.

[0068] Step S206: Determine the automatic deployment rate of each subsystem based on the automatic mode deployment time and the effective verification time.

[0069] In the embodiments of this application, the automatic activation rate is the percentage of time a certain subsystem is in automatic control mode during the effective verification period. The automatic activation rate of each subsystem... Defined as automatic mode activation duration With valid verification time The ratio, that is:

[0070] The above indicators reflect the proportion of time that a single subsystem can maintain automatic adjustment mode under the premise of meeting the assessment conditions, and are used to evaluate the ability of each subsystem to maintain automatic control mode independently.

[0071] Step S207: Based on at least one system activation status flag bit, determine the joint activation duration of at least one subsystem in automatic control mode.

[0072] In the embodiments of this application, the joint operation duration refers to the total duration for which all subsystems are simultaneously in automatic control mode, reflecting the length of time for multiple subsystems to operate automatically in coordination.

[0073] For each valid sampling time, set the system activation status flags of all subsystems. Perform a logical AND operation to determine if all values ​​are 1. Count the number of valid sampling moments where all values ​​are 1, multiply by the sampling interval, and obtain the joint deployment duration. The calculation formula is:

[0074] Step S208: Determine the joint automatic deployment rate of the flexible control system based on the joint deployment duration and effective verification duration.

[0075] In the embodiments of this application, in order to comprehensively evaluate the overall stability of the flexible control system, this application defines the joint automatic activation rate as the total. The percentage of time each subsystem is simultaneously in automatic mode. This application uses For example, this involves four subsystems: electro-hydrogen coupling hydrogen production group control, advanced control of the air separation unit, advanced control of the ammonia synthesis unit, and real-time optimization. The combined automatic start-up rate... The calculation formula is:

[0076] Step S209: Based on at least one automatic deployment rate indicator, verify the operational stability of the flexible control system, obtain the verification results, and generate a visual verification report based on the verification results.

[0077] In the embodiments of this application, at least one automatic deployment rate indicator is compared with a threshold in the acceptance criteria to determine the operational stability verification result of the flexible control system, including whether the acceptance requirements are met or not.

[0078] In one example, the combined automatic deployment rate in at least one automatic deployment rate metric is greater than or equal to a preset deployment rate threshold (e.g., ...). (The settings can be configured according to actual needs, and are not limited in the embodiments of this application) to determine that the operational stability of the flexible control system meets the acceptance requirements; when the joint automatic activation rate in at least one automatic activation rate indicator is less than a preset activation rate threshold (e.g., In the case of [missing information], it was determined that the operational stability of the flexible control system did not meet the acceptance requirements.

[0079] Optionally, the operational stability of the flexible control system can be comprehensively evaluated from multiple dimensions based on the automatic deployment rate of each subsystem and the redundant automatic deployment rate. For example, if the automatic deployment rate of each subsystem is higher than its internal target value, and the redundant automatic deployment rate (such as the simultaneous automatic deployment rate of at least three subsystems) also reaches the preset standard, then the operational stability of the flexible control system is determined to meet a higher level of acceptance requirements, provided that the overall automatic deployment rate meets the acceptance requirements. If the overall automatic deployment rate meets the requirements but the automatic deployment rate of a certain subsystem is significantly low, an early warning message can be issued for that subsystem to alert maintenance personnel to pay attention to any abnormalities in that subsystem.

[0080] Based on the above analysis results (including determination of effective sampling time, calculation of automatic commissioning time of each subsystem and calculation of joint commissioning time, and calculation of automatic commissioning rate index), this application generates a visual verification report to support qualitative analysis of long-term stability and anomaly tracing.

[0081] Specifically, a visual verification report should include at least the following: (1) Load and flexibility condition time series plot: Plot the system load curve (such as the real-time load curve of ammonia synthesis) on a single graph. and flexible condition flags The periods marked with gray shading, where the system load is below the preset load threshold or does not meet the flexibility conditions, are considered non-assessment periods. This graph provides a visual overview of the distribution of effective verification periods.

[0082] (2) Multi-subsystem automatic state stacking diagram: The automatic state of each subsystem is filled with different colors to intuitively show the length and distribution of continuous running time in fully automatic mode (i.e., all subsystems are in automatic control mode). The longest continuous fully automatic running time is automatically counted and marked. The corresponding start and end times are used as auxiliary evaluation indicators.

[0083] (3) Abnormal event marking: When the verification results indicate that the operational stability of the flexible control system does not meet the acceptance requirements, the abnormal time period with the greatest contribution is automatically identified and listed, sorted from longest to shortest duration, for operation and maintenance personnel to analyze the cause (such as equipment failure, communication interruption, boundary condition exceeding limit, human intervention, etc.).

[0084] This application was submitted after verification results indicated that the operational stability of the flexible control system did not meet the acceptance requirements (e.g., ...). In the case of [missing information], at least one abnormal time period is identified. An abnormal time period is defined as the time period during which at least one subsystem exits automatic control mode. Specifically, the time-series data set within the valid verification period is traversed to identify consecutive time periods where the status flag of at least one subsystem changes from 1 to 0; these are considered abnormal time periods. The start and end times, duration, and the identifier of the subsystem exiting automatic control mode are recorded for each abnormal time period. All identified abnormal time periods are sorted from longest to shortest duration. The top N abnormal time periods are selected as key analysis targets and included in the abnormal time period details table, where N is a preset positive integer (e.g., 10) to highlight the abnormal time periods with the greatest contribution, allowing maintenance personnel to analyze the causes and optimize the system accordingly.

[0085] The abnormal period details table includes at least one of the following: start and end time of the abnormal period, duration, subsystem identifier that exited automatic control mode, and exit reason code. The exit reason code can be obtained from the upper computer alarm records of the flexible control system, such as: equipment failure, communication interruption, boundary condition exceeding limit, human intervention, etc.

[0086] In one example, the final generated visual verification report also includes the following: (1) Basic information: start and end time of verification, total running time Valid verification time Percentage of effective verification time .

[0087] (2) Automatic activation rate of each subsystem: , , , The values ​​and whether they meet the internal objectives of each subsystem (if any).

[0088] (3) Core acceptance indicator: Joint automatic commissioning rate The calculated value and the judgment result (pass / fail).

[0089] (4) Auxiliary indicator: longest continuous fully automatic running time At least k subsystems have automatic activation rates (e.g., automatic activation rate of at least 3 subsystems).

[0090] (5) Abnormal period details: List the first N (e.g., 10) longest periods that do not meet the fully automatic control mode, including start and end time, duration, exited subsystem and reason code (must be combined with the upper computer alarm record).

[0091] (6) Conclusions and recommendations: A comprehensive evaluation of the long-term operational stability of the flexible control system and suggestions for improvement are given.

[0092] In one example, the conclusions and recommendations are as follows: In a 200kt / a green ammonia project, this validation method was applied to conduct a long-term stability verification of the flexible control system for 3 months (2160 hours). Original operating data shows: Total operating time... =2160 hours, of which 324 hours are non-assessment periods when the ammonia synthesis load is below 50% or the flexibility conditions are not met, effective verification time =1836 hours.

[0093] During the effective assessment period, the automatic mode usage time for each subsystem is as follows: Electro-hydrogen coupling hydrogen production group control =1799 hours, automatic activation rate =98.0%; Advanced air separation control =1820 hours, automatic activation rate =99.1%; Advanced control of ammonia synthesis =1807 hours, automatic activation rate =98.4%; Real-time optimization system =1763 hours, automatic activation rate =96.0%.

[0094] The combined duration of all four subsystems operating in automatic mode is: =1692 hours, combined automatic activation rate =1692 / 1836×100%=92.15%, which meets the acceptance target of no less than 90%. The longest continuous fully automatic operation time is 326 hours (approximately 13.6 days), proving that the flexible control system has good long-term operational stability.

[0095] In summary, this application proposes a complete and automatically executable quantitative verification framework for the long-term stability of flexible control systems. This framework can be used to evaluate the automatic adjustment stability of flexible control systems under continuous operation conditions for several months. A dual screening mechanism of "load threshold + flexible condition flag" is introduced, which can automatically eliminate non-assessment periods caused by low-load operation or unmet boundary conditions. This ensures that the automatic utilization rate statistics truly reflect the system's performance under effective operating conditions where "automatic adjustment is truly needed," avoiding inflated or understated indicators due to the inclusion of non-assessment periods. Simultaneously, multi-level indicators such as single subsystem automatic utilization rate, joint automatic utilization rate, and multi-subsystem redundant automatic utilization rate are defined. This allows for the evaluation of the reliability of individual control loops as well as the comprehensive evaluation of the overall system's collaborative capabilities, meeting the acceptance requirements of projects at different granularities. Furthermore, through historical curve visualization and anomaly period sorting algorithms, the key bottleneck subsystems and corresponding time periods causing substandard utilization rates can be quickly located, providing clear direction for system optimization and fault diagnosis. The verification methods and indicator system proposed in this application are expected to become recommended or mandatory testing standards in the field of flexible control of green ammonia, green hydrogen and other fluctuating power supply chemical processes, promoting the development of the entire industry towards high reliability and high intelligence.

[0096] To achieve the above embodiments, this application also provides an operation verification device for a flexible control system. Figure 3 This is a schematic diagram of the structure of an operation verification device 300 for a flexible control system provided in an embodiment of this application. Figure 3 As shown, the device includes: The construction unit 310 is used to construct a time-series data set reflecting the historical operating conditions of the flexible control system based on the historical operating data of the flexible control system. The time-series data set includes the system commissioning status, which is used to indicate the historical control mode of the flexible control system. Analysis unit 320 is used to perform automatic mode deployment rate analysis on at least one subsystem of the flexible control system based on the system deployment status, and obtain at least one automatic deployment rate index of the flexible control system. The verification unit 330 is used to verify the operational stability of the flexible control system based on at least one automatic deployment rate indicator, obtain the verification results, and generate a visual verification report based on the verification results.

[0097] In some embodiments, the construction unit 310 is configured to: acquire historical operating data of the flexible control system within a preset operating cycle to construct an initial time-series data set, wherein the fields of the initial time-series data set include at least one of sampling timestamp, system load, flexible condition flag bit, and system activation status flag bit of at least one subsystem, wherein the flexible condition flag bit is used to indicate whether the flexible control system meets the conditions for flexible adjustment; and based on the system load and the flexible condition flag bit, perform validity screening on the historical operating data in the initial time-series data set to obtain the time-series data set.

[0098] In some embodiments, the conditions under which flexible adjustment can be applied include at least one of the following: the flexible control system is in a normal state, communication between at least one subsystem is in a normal state, and the operating boundary parameters of the flexible control system are within the allowable range.

[0099] In some embodiments, the construction unit 310 is configured to: determine the system load and flexibility condition flag corresponding to a first sampling time in at least one sampling time in the initial time series data set, wherein the first sampling time is any sampling time in at least one sampling time; and determine the first sampling time as a valid sampling time when the system load is greater than a preset load threshold and the flexibility condition flag is a target value, so as to construct a time series data set based on the historical operation data corresponding to the valid sampling time.

[0100] In some embodiments, the analysis unit 320 is configured to: perform automatic deployment rate analysis on at least one subsystem of the flexible control system based on the system deployment status of the flexible control system, and obtain at least one automatic deployment rate index of the flexible control system; prior to this, determine the effective verification duration of the flexible control system based on at least one effective sampling time.

[0101] In some embodiments, the analysis unit 320 is configured to: determine at least one system activation status flag bit of each subsystem at a valid sampling time; determine the automatic mode activation duration of each subsystem in automatic control mode based on the at least one system activation status flag bit; determine the automatic activation rate of each subsystem based on the automatic mode activation duration and the valid verification duration; determine the joint activation duration of at least one subsystem in automatic control mode based on the at least one system activation status flag bit; and determine the joint automatic activation rate of the flexible control system based on the joint activation duration and the valid verification duration.

[0102] In some embodiments, the verification unit 330 is configured to: determine that the operational stability of the flexible control system meets the acceptance requirements and obtain verification results when the combined automatic activation rate of at least one automatic activation rate indicator is greater than or equal to a preset activation rate threshold; and determine that the operational stability of the flexible control system does not meet the acceptance requirements and obtain verification results when the combined automatic activation rate of at least one automatic activation rate indicator is less than a preset activation rate threshold.

[0103] In some embodiments, the verification unit 330 is configured to: when the verification result indicates that the operational stability of the flexible control system does not meet the acceptance requirements, to count at least one abnormal time period, wherein the abnormal time period is the time period during which at least one subsystem exits the automatic control mode; to sort the at least one abnormal time period to generate a detailed table of abnormal time periods of the flexible control system based on the sorting result; and to generate a visual verification report based on the detailed table of abnormal time periods, at least one automatic deployment rate indicator, and the verification result.

[0104] In some embodiments, the abnormal period details table includes at least one of the following: the start and end time of the abnormal period, the duration of the abnormal period, the subsystem identifier that exited the automatic control mode, and the exit reason code.

[0105] Since the apparatus provided in this application corresponds to the methods provided in the above-mentioned embodiments, the implementation of the methods is also applicable to the apparatus provided in this embodiment, and will not be described in detail in this embodiment.

[0106] The methods and apparatus provided in the embodiments of this application have been described above. To implement the functions of the methods provided in the embodiments of this application, the electronic device may include a hardware structure and software modules, and may implement the above functions in the form of a hardware structure, software modules, or a hardware structure plus software modules. One of the above functions may be executed in the form of a hardware structure, software modules, or a hardware structure plus software modules.

[0107] Figure 4 This is a block diagram illustrating an electronic device 400 for implementing the above-described operation verification method for a flexible control system, according to an exemplary embodiment. (Refer to...) Figure 4 The electronic device 400 may include a communication interface 401, capable of interacting with other devices; a processor 402, connected to the communication interface 401 to interact with other devices, used to execute the methods provided by one or more of the above-mentioned technical solutions when running a computer program; and a memory 403, on which the computer program is stored. Specifically, the specific processing procedure of the processor 402 can refer to the operation verification method of the flexible control system described in the above embodiments of this application.

[0108] Of course, in practical applications, the various components in electronic device 400 are coupled together through bus system 404. It can be understood that bus system 404 is used to realize the connection and communication between these components. In addition to a data bus, bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, in... Figure 4 The general designated all buses as Bus System 404.

[0109] The memory 403 in this embodiment is used to store various types of data to support the operation of the electronic device 400. Examples of such data include any computer program used to operate on the electronic device 400.

[0110] The methods disclosed in the embodiments of this application can be applied to processor 402, or implemented by processor 402. Processor 402 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 402 or by instructions in the form of software. The processor 402 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 402 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly manifested as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in memory 403. Processor 402 reads the information in memory 403 and combines its hardware to complete the steps of the aforementioned method.

[0111] In an exemplary embodiment, the electronic device 400 may be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned method.

[0112] Embodiments of this application also propose a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to execute the operation verification method of the flexible control system described in the above embodiments of this application.

[0113] Embodiments of this application also propose a computer program product, including a computer program, which is executed by a processor to perform the operation verification method of the flexible control system described in the above embodiments of this application.

[0114] Embodiments of this application also propose a chip including one or more interface circuits and one or more processors; the interface circuits are used to receive signals from the memory of an electronic device and send signals to the processors, the signals including computer instructions stored in the memory, and when the processor executes the computer instructions, it causes the electronic device to perform the operation verification method of the flexible control system described in the above embodiments of this application.

[0115] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0116] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0117] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0118] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processing module, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (control method), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0119] It should be understood that various parts of the embodiments of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0120] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0121] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc.

[0122] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for verifying the operation of a flexible control system, characterized in that, The method includes: Based on the historical operating data of the flexible control system, a time-series data set reflecting the historical operating conditions of the flexible control system is constructed. The time-series data set includes the system commissioning status, which is used to indicate the historical control mode of the flexible control system. Based on the system's operational status, an automatic mode deployment rate analysis is performed on at least one subsystem of the flexible control system to obtain at least one automatic deployment rate index of the flexible control system. Based on the at least one automatic deployment rate indicator, the operational stability of the flexible management and control system is verified to obtain the verification results, and a visual verification report is generated based on the verification results.

2. The method according to claim 1, characterized in that, The time-series data set constructed based on the historical operational data of the flexible control system, reflecting the historical operating conditions and system deployment status of the flexible control system, includes: Historical operating data of the flexible control system within a preset operating cycle is obtained to construct an initial time series data set. The fields of the initial time series data set include at least one of the following: sampling timestamp, system load, flexible condition flag bit, and system commissioning status flag bit of the at least one subsystem. The flexible condition flag bit is used to indicate whether the flexible control system meets the conditions for flexible adjustment. Based on the system load and the flexible condition flag, the historical operating data in the initial time series data set is filtered for validity to obtain the time series data set.

3. The method according to claim 2, characterized in that, The conditions under which flexible adjustment can be implemented include at least one of the following: the flexible control system is in a normal state, communication between the at least one subsystem is in a normal state, and the operating boundary parameters of the flexible control system are within the allowable range.

4. The method according to claim 2, characterized in that, The validity screening of data in the initial time-series data set based on the system load and the flexibility condition flag bit, resulting in the time-series data set including: Determine the system load and flexibility condition flag bits corresponding to the first sampling time in at least one sampling time in the initial time series data set, wherein the first sampling time is any one of the at least one sampling times; When the system load is greater than a preset load threshold and the flexible condition flag is a target value, the first sampling time is determined as a valid sampling time, and the time series data set is constructed based on the historical operating data corresponding to the valid sampling time.

5. The method according to claim 4, characterized in that, Based on the system deployment status of the flexible control system, an automatic deployment rate analysis is performed on at least one subsystem of the flexible control system to obtain at least one automatic deployment rate index of the flexible control system. Prior to this, the method includes: The effective verification duration of the flexible control system is determined based on at least one of the effective sampling times.

6. The method according to claim 5, characterized in that, The at least one automatic activation rate indicator includes the automatic activation rate and the combined automatic activation rate. Based on the system deployment status of the flexible control system, the automatic mode deployment rate analysis is performed on at least one subsystem of the flexible control system to obtain at least one automatic deployment rate indicator of the flexible control system, including: Determine at least one system activation status flag bit for each subsystem in the at least one subsystem at the effective sampling time; Based on the at least one system activation status flag bit, determine the automatic mode activation duration of each subsystem in automatic control mode; Based on the automatic mode deployment duration and the effective verification duration, the automatic deployment rate of each subsystem is determined; Based on the at least one system activation status flag, determine the joint activation duration for which all at least one subsystem is in automatic control mode; Based on the joint deployment duration and the effective verification duration, the joint automatic deployment rate of the flexible control system is determined.

7. The method according to claim 1, characterized in that, The operational stability verification of the flexible control system is performed based on the at least one automatic deployment rate indicator, and the verification results include: If the combined automatic activation rate among the at least one automatic activation rate indicator is greater than or equal to a preset activation rate threshold, it is determined that the operational stability of the flexible control system meets the acceptance requirements, and the verification result is obtained. If the combined automatic activation rate among the at least one automatic activation rate indicator is less than a preset activation rate threshold, it is determined that the operational stability of the flexible control system does not meet the acceptance requirements, and the verification result is obtained.

8. The method according to claim 7, characterized in that, The step of generating a visual verification report based on the verification results includes: If the verification results indicate that the operational stability of the flexible control system does not meet the acceptance requirements, at least one abnormal time period shall be counted, and the abnormal time period shall be the time period during which the at least one subsystem exits the automatic control mode. The at least one abnormal time period is sorted to generate a detailed table of abnormal time periods for the flexible control system based on the sorting results. A visual verification report is generated based on the abnormal period details table, the at least one automatic deployment rate indicator, and the verification results.

9. The method according to claim 8, characterized in that, The abnormal period details table includes at least one of the following: the start and end time of the abnormal period, the duration of the abnormal period, the subsystem identifier that exited the automatic control mode, and the exit reason code.

10. An operation verification device for a flexible control system, characterized in that, The device includes: The construction unit is used to construct a time-series data set reflecting the historical operating conditions of the flexible control system based on the historical operating data of the flexible control system. The time-series data set includes the system commissioning status, which is used to indicate the historical control mode of the flexible control system. The analysis unit is used to perform automatic mode deployment rate analysis on at least one subsystem of the flexible control system based on the system's deployment status, and to obtain at least one automatic deployment rate index of the flexible control system. The verification unit is used to verify the operational stability of the flexible management and control system based on the at least one automatic deployment rate indicator, obtain the verification results, and generate a visual verification report based on the verification results.

11. An electronic device, characterized in that, include: The processor and the memory used to store computer programs that can run on the processor. When the processor is used to run the computer program, it performs the method according to any one of claims 1 to 9.

12. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 9.

13. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 9.

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