Operation and maintenance method of island supercritical carbon dioxide cycle power generation system and related device
By acquiring multi-dimensional operation and maintenance indicators and building a hierarchical strategy library, and combining real-time data for intelligent decision-making and optimization, the problems of equipment failure and low resource utilization efficiency in the isolated supercritical carbon dioxide cycle power generation system have been solved, and the system reliability and energy supply stability have been improved.
Patent Information
- Application Number
- CN202511068888.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-31
- Publication Date
- 2025-11-11
AI Technical Summary
Existing technologies lack intelligent operation and maintenance strategies that integrate real-time data in isolated supercritical carbon dioxide cycle power generation systems, leading to equipment susceptibility to failure, low resource utilization efficiency, and conflicts between maintenance plans and power generation demands, thus affecting the stability of energy supply.
By acquiring multi-dimensional operation and maintenance indicators, constructing a hierarchical strategy library, combining real-time data for intelligent decision-making and optimization, and designing system redundancy and switching mechanisms, we can achieve adaptive resource optimization and power supply continuity assurance.
This improves system reliability, avoids sudden equipment failures, makes full use of isolated resources, ensures energy supply stability, and avoids conflicts between maintenance plans and power generation needs.
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Figure CN120930933A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of cyclic system control technology, and relates to an operation and maintenance method and related devices for an isolated supercritical carbon dioxide cycle power generation system. Background Technology
[0002] Isolated supercritical carbon dioxide cycle power generation systems are typically deployed in remote areas far from the power grid (such as islands and deserts), relying on local energy self-sufficiency. These systems operate under high temperature and high pressure environments, with equipment subjected to extreme conditions over long periods, making them prone to problems such as decreased cycle efficiency, wear and tear or leakage of critical components (such as turbines, compressors, and heat exchangers). Existing operation and maintenance strategies are mostly based on fixed-cycle maintenance, lacking dynamic response to real-time operating status, which easily leads to problems such as resource constraints, insufficient prediction, and efficiency loss: due to limited maintenance resources in isolated environments, frequent maintenance is difficult to support; traditional methods cannot combine real-time data to predict equipment degradation trends, easily leading to sudden failures and system downtime; when maintenance plans conflict with power generation demand, downtime maintenance may affect the stability of energy supply. Therefore, there is an urgent need for an intelligent operation and maintenance strategy that can dynamically adapt to the characteristics of isolated environments and combine real-time data with predictive models to improve system reliability and resource utilization efficiency. Summary of the Invention
[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide an operation and maintenance method and related apparatus for an isolated supercritical carbon dioxide cycle power generation system. This method and related apparatus can improve the reliability and resource utilization efficiency of the isolated supercritical carbon dioxide cycle power generation system.
[0004] To achieve the above objectives, this invention discloses an operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system, comprising:
[0005] Obtain multi-dimensional operation and maintenance indicators for isolated supercritical carbon dioxide cycle power generation systems;
[0006] A strategy library for an isolated supercritical carbon dioxide cycle power generation system is constructed, the strategy library is designed hierarchically, and the priority of each strategy in the strategy library is dynamically adjusted.
[0007] Intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system are performed based on the aforementioned multi-dimensional operation and maintenance indicators and strategy library.
[0008] A further improvement of the operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system described in this invention lies in:
[0009] Furthermore, the multi-dimensional operation and maintenance indicators include operating condition parameter indicators, equipment health indicators, energy efficiency prediction indicators, and isolated resource constraint indicators.
[0010] Furthermore, the operating condition parameters include core operating condition parameters, turbine and compressor performance parameters;
[0011] The equipment health indicators include the wear, corrosion, and leakage status of the integrated turbine compressor and heat exchanger.
[0012] The energy efficiency prediction indicators include short-term prediction indicators and long-term prediction indicators.
[0013] The resource constraints for isolated islands include the inventory of spare parts, the availability of environmental resources, and the response time of maintenance personnel.
[0014] Furthermore, the process of hierarchically designing the strategy library is as follows:
[0015] The first-level strategy is to match online maintenance operations for transient faults; the second-level strategy is to formulate a backup switchover plan based on the prediction results; and the third-level strategy is to activate load reduction operation and AR remote guidance maintenance when resources are scarce.
[0016] Furthermore, based on the aforementioned multi-dimensional operation and maintenance indicators and strategy library, intelligent decision-making and execution optimization of the islanded supercritical carbon dioxide cycle power generation system are carried out, including real-time strategy matching, adaptive optimization under resource constraints, and power supply continuity assurance.
[0017] Furthermore, the real-time strategy matching process is as follows: based on operating condition parameters, equipment health indicators, and energy efficiency prediction indicators, the most suitable operation and maintenance strategy for the current system state is matched.
[0018] Furthermore, the resource constraint adaptive optimization process is as follows: based on the isolated resource constraint index, the priority of the operation and maintenance strategy and resource allocation are dynamically adjusted, and the strategy ranking is optimized in real time to ensure that the operation and maintenance benefits are maximized under limited resource conditions.
[0019] Furthermore, the process of ensuring power supply continuity is as follows: design redundancy and switching mechanisms for key system equipment and modules. When the system detects that a component is about to undergo maintenance or a sudden failure, it quickly switches to the backup module to ensure uninterrupted power supply.
[0020] This invention discloses an operation and maintenance system for an isolated supercritical carbon dioxide cycle power generation system, comprising:
[0021] The acquisition module is used to acquire multi-dimensional operation and maintenance metrics;
[0022] The module is used to build a strategy library for an isolated supercritical carbon dioxide cycle power generation system, to design the strategy library hierarchically, and to dynamically adjust the priority of each strategy in the strategy library.
[0023] The execution module is used to make intelligent decisions and optimize the execution of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and the strategy library.
[0024] This invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system.
[0025] This invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system.
[0026] The present invention has the following beneficial effects:
[0027] The operation and maintenance method and related devices for the isolated supercritical carbon dioxide cycle power generation system described in this invention, during specific operation, perform intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and strategy library. By real-time monitoring of isolated resource constraint indicators and combining resource constraint adaptive optimization, isolated resources can be fully utilized to support frequent unit maintenance. By real-time monitoring of equipment health indicators and combining real-time strategy matching, system downtime caused by sudden equipment failures can be avoided, thus improving system reliability. Through hierarchical design of the strategy library, dynamic priority adjustment, and combined with power supply continuity assurance schemes, conflicts between maintenance plans and power generation demand can be avoided, ensuring the stability of energy supply. Attached Figure Description
[0028] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:
[0029] Figure 1 This is a flowchart of the method of the present invention;
[0030] Figure 2 This is a diagram showing the sensor layout in an isolated supercritical carbon dioxide cycle power generation system. Detailed Implementation
[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0032] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.
[0033] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.
[0034] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.
[0035] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.
[0036] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."
[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.
[0038] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.
[0039] Example 1
[0040] The operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system of the present invention includes the following steps:
[0041] 1) Obtain multi-dimensional operation and maintenance metrics;
[0042] The multi-dimensional operation and maintenance indicators include operating condition parameters, equipment health indicators, energy efficiency prediction indicators, and isolated resource constraint indicators.
[0043] The operating condition parameters include core operating condition parameters and turbine and compressor performance parameters, which are collected in real time through a distributed high-precision sensor network. Specifically, the core operating condition parameters include the reference point pressure of the supercritical carbon dioxide cycle system, turbine inlet temperature, heat exchanger temperature difference, main pump flow rate, and main circulation mass flow rate. The turbine and compressor performance parameters include speed, isentropic efficiency, and shaft vibration displacement. The turbine and compressor performance parameters also include information on blade microcracks or shaft misalignment.
[0044] The equipment health indicators include the wear, corrosion, and leakage status of the integrated turbine compressor and heat exchanger. These indicators are based on real-time monitoring using vibration sensors, acoustic emission detection, and infrared thermal imaging. Specifically, for the integrated turbine compressor, vibration sensors capture high-frequency vibration signals, the acoustic emission detection system locates minute leaks and distinguishes between corrosion and mechanical impact based on the frequency characteristics of the acoustic signals, and the infrared thermal imager generates a real-time temperature field distribution map to predict local temperature differences. For the heat exchanger health, a differential pressure sensor (range 0-1 MPa) and a thermal resistance model quantify the degree of scaling (a cleaning strategy is triggered when the scaling coefficient is ≥0.8), and an ultrasonic thickness gauge is used to periodically detect the pipe wall thickness to predict local corrosion. An alarm threshold is set when the predicted annual corrosion amount is >0.5 mm.
[0045] The energy efficiency prediction indicators include short-term and long-term indicators, which are calculated by the system integrating real-time data and machine learning models to measure power generation efficiency, power output, load change rate, and carbon dioxide purity. For the short-term indicators, an LSTM neural network is used, inputting power generation efficiency, load change rate, and carbon dioxide purity data, to predict the energy efficiency degradation trend over the next 6 hours. For the long-term indicators, a random forest algorithm is used to correlate equipment health indicators with historical maintenance records, outputting the remaining lifespan of the turbine blades and the associated power output decline curve.
[0046] The resource constraints for the isolated island include the inventory of spare parts (such as sealing rings and bearings), the availability of environmental resources, and the response time of maintenance personnel.
[0047] The reserve inventory includes the inventory of spare parts such as sealing rings and bearings, and the critical inventory ratio is set as current inventory / single maintenance requirement.
[0048] The available environmental resources include the freshwater supply for the cooling system and the number of days of fuel reserves for diesel generators used for emergency power supply during maintenance.
[0049] In addition, the arrival time is calculated based on the location of maintenance personnel and vehicles (e.g., ships / helicopters) determined by GPS positioning, and this arrival time is used as the maintenance personnel response time.
[0050] 2) Construction and optimization of the dynamic strategy library for isolated supercritical carbon dioxide cycle power generation systems, specifically including the hierarchical design of the strategy library and dynamic adjustment of priorities.
[0051] The strategy library is designed in a hierarchical manner. The first-level strategy is for instantaneous faults (e.g., seal leakage) to match online maintenance operations, with resource requirements of 1 engineer, 2L of sealing agent, and a time of ≤30 minutes. The second-level strategy is to formulate a backup switchover plan based on the prediction results, such as replacing 1 / 3 of the turbine blades and switching to the backup module at low load at night. The third-level strategy is to enable load reduction operation and AR remote guidance maintenance when resources are scarce.
[0052] The dynamic adjustment of priorities adopts a hybrid decision algorithm. Based on the fault impact coefficient (0-1), resource consumption coefficient (0-1), and power outage risk coefficient (0-1), the priority of each strategy in the strategy library is adjusted and maintained accordingly.
[0053] 3) The intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system specifically includes real-time strategy matching, adaptive optimization under resource constraints, and power supply continuity assurance.
[0054] The real-time strategy matching matches the most suitable operation and maintenance strategy for the current system state based on operating condition parameters, equipment health indicators, and energy efficiency prediction indicators.
[0055] The resource constraint adaptive optimization dynamically adjusts the priority of operation and maintenance strategies and resource allocation based on the isolated resource constraint index, and optimizes the strategy ranking in real time to ensure the maximization of operation and maintenance benefits under limited resource conditions. For example, when the spare sealing ring inventory is insufficient (critical inventory ratio = 0.5), it is recommended to perform local repairs and reduce the carbon dioxide circulation pressure to 22MPa (extend lifespan); when the maintenance personnel response time exceeds 6 hours, the AR remote collaboration mode is activated to guide local operations through augmented reality glasses.
[0056] The power supply continuity guarantee includes redundancy and switching mechanisms for key system equipment and modules. When the system detects that any component is about to undergo maintenance or a sudden failure, it switches to the backup module to ensure uninterrupted power supply. For example, during maintenance, the load is transferred to the backup module through an intelligent circuit breaker (switching time < 200ms), and the grid frequency fluctuation is controlled to < 0.5Hz. When the energy efficiency drops in the short term, the carbon dioxide circulation pressure is adjusted to 25MPa to compensate for power loss (compensation rate ≥ 90%).
[0057] The closed-loop feedback and model iteration of the isolated supercritical carbon dioxide cycle power generation system include post-maintenance assessment of equipment recovery rate and resource consumption, dynamic optimization of the weight factors of the strategy library, and monthly retraining of the LSTM model through edge computing nodes to ensure prediction accuracy.
[0058] Example 2
[0059] In this embodiment, a sensor network is deployed at key nodes of the isolated supercritical carbon dioxide cycle system, such as... Figure 2 As shown.
[0060] 1) The specific configuration is as follows:
[0061] It employs a high-precision pressure sensor with a range of 0-30MPa and an error of ±0.1%FS. The sensor is placed at the main circulation inlet and the connecting pipeline of key equipment to continuously record the reference pressure parameters.
[0062] High-temperature thermocouple arrays with a range of 0-800℃ and an accuracy of ±0.5℃ are installed at the inlet and outlet of the turbine compressor and the inlet and outlet of the heat exchanger to form a temperature gradient monitoring network.
[0063] Configure a Coriolis mass flow meter with a range of 0-50 kg / s and an accuracy of ±0.2% to acquire real-time circulating mass flow data of carbon dioxide working fluid.
[0064] A magnetoelectric sensor with a resolution of ±1 rpm is deployed for dynamic speed tracking of the turbine and compressor shafts.
[0065] 2) Equipment health status monitoring
[0066] 21) Ensuring the integrity of the integrated turbine compressor unit:
[0067] A wideband piezoelectric vibration sensor with a frequency response range of 0.5-10kHz is installed on the bearing support structure and the shell surface. High-frequency vibration components above 5kHz are extracted by wavelet packet transform technology to achieve early identification of micron-level cracks in the blade.
[0068] High-sensitivity acoustic emission sensors are deployed along the sealing interface, which can detect defects as small as 0.1 mm. Fast Fourier Transform can distinguish corrosion signals below 100 kHz from mechanical impact signals above 200 kHz.
[0069] A non-contact infrared thermal imaging monitoring system with a thermal resolution of 0.03℃ is adopted. It periodically scans the temperature field on the shell surface and triggers a graded alarm mechanism when the temperature difference between adjacent areas exceeds a threshold of 15℃.
[0070] 22) Heat exchanger:
[0071] The differential pressure sensing unit, with a range of 0-1MPa, acquires the pressure drop data of the heat exchange medium in real time. Combined with the dynamic model of heat transfer coefficient, the degree of fouling is calculated. Fouling coefficient = actual thermal resistance / design thermal resistance.
[0072] An automatic pipe wall thickness inspection scheme was implemented, using a pulse-echo ultrasonic thickness measuring device with an accuracy of ±0.05mm. A corrosion rate trend chart was generated daily, and the corrosion amount was calculated as: original wall thickness - measured value.
[0073] 23) Energy efficiency prediction model training
[0074] 231) Construct a training dataset covering the entire life cycle, integrate more than 12 consecutive months of operation logs, including: power generation efficiency, i.e. the ratio of net system output power to heat source input power; load change rate, i.e. the rate of change of load per minute; carbon dioxide working fluid purity detection value, using gas chromatography analysis data; and complete the time-series recording of equipment health indicators and create historical maintenance operation files.
[0075] 232) Establish an LSTM prediction architecture based on temporal features:
[0076] Input dimensions: efficiency parameters, load change rate, and working fluid purity within a 6-hour sliding window;
[0077] Network structure: dual hidden layer design (128 memory units per layer), rectified linear unit activation function;
[0078] Optimization objective: To control the mean square error of the predicted energy efficiency degradation rate for the next 6 hours to within 0.01;
[0079] Training parameters: Adaptive moment estimation algorithm (initial learning rate 0.001), batch size 32 samples.
[0080] Example 3
[0081] The process of dynamic strategy matching and execution is as follows:
[0082] 1) Construction of a multi-level strategy library
[0083] 11) Level 1 Immediate Response Strategy:
[0084] For sealing failure scenarios: dynamically adjust the injection volume of sealing agent. When the leakage rate is >0.5kg / s, the standard dose is 2L. Simultaneously implement a pressure reduction operation strategy, and reduce the working pressure from 25MPa to 22MPa in steps for a maximum of 72 hours.
[0085] 12) Secondary preventive maintenance strategy:
[0086] Turbine blades are replaced in batches: Maintenance period: Performed when the nighttime load is <30% of the rated value; Standby module switching: Through intelligent circuit breakers, the switching time is <200ms, and the load is transferred to the standby turbine unit to ensure that the grid frequency fluctuation is <0.5Hz.
[0087] 13) Level 3 resource-constrained strategy:
[0088] Augmented reality-assisted maintenance mode uses a mixed reality display terminal to overlay a three-dimensional status map of the equipment in real time, and relies on a satellite communication channel with a transmission rate of ≥512kbps to realize remote collaborative operation by experts.
[0089] 2) Priority dynamically adjusted
[0090] 21) Quantification of multidimensional decision factors:
[0091] Fault severity coefficient α: Assigned values based on the different fault modes, for example, 0.8 for seal failure and 0.9 for blade damage;
[0092] Resource consumption coefficient β: calculated based on standardized material requirements, for example, 0.2 for sealing materials and 0.7 for core components;
[0093] Power supply stability coefficient γ: associated with real-time load level, for example, γ = 0.9 when load > 80%.
[0094] 22) Hybrid decision-making algorithm process:
[0095] The decision matrices α, β, and γ are normalized using a min-max method; the index weights are calculated based on information uncertainty; the relative closeness of each strategy to the optimal solution is calculated; and the decision list is dynamically refreshed with a refresh cycle of ≤1 second.
[0096] Example 4
[0097] The closed-loop feedback and model optimization process is as follows:
[0098] 1) Maintenance effectiveness evaluation
[0099] 11) Equipment recovery rate calculation:
[0100] Vibration reduction rate = (Vibration value before maintenance - Vibration value after maintenance) / Vibration value before maintenance × 100%, with a target value ≥ 70%;
[0101] Energy efficiency recovery rate = (power generation efficiency after maintenance - power generation efficiency before maintenance) / design power generation efficiency × 100%, with a target value of ≥95%.
[0102] 12) Resource consumption record: Statistics on spare parts usage, maintenance hours and energy consumption, and updates resource constraint indicators.
[0103] 2) Prediction model iteration
[0104] 21) Data update mechanism: Automatically import the operating condition data, equipment health data and maintenance records of the past 30 days on the 1st of each month;
[0105] 22) Model Adaptive Optimization:
[0106] The sliding window technique is used to retain valid data from the most recent 12 months, and outliers are removed based on the 3σ criterion.
[0107] Regularly verify prediction accuracy; if MAPE < 5%, adjust network topology or learning parameters as necessary.
[0108] Example 5
[0109] The operation and maintenance system for the isolated supercritical carbon dioxide cycle power generation system of the present invention includes:
[0110] The acquisition module is used to acquire multi-dimensional operation and maintenance metrics;
[0111] The module is used to build a strategy library for an isolated supercritical carbon dioxide cycle power generation system, to design the strategy library hierarchically, and to dynamically adjust the priority of each strategy in the strategy library.
[0112] The execution module is used to make intelligent decisions and optimize the execution of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and the strategy library.
[0113] The module division in this embodiment is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in each embodiment of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.
[0114] Example 6
[0115] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of an operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system. For example, the method includes: acquiring multi-dimensional operation and maintenance indicators of the isolated supercritical carbon dioxide cycle power generation system; constructing a strategy library for the isolated supercritical carbon dioxide cycle power generation system, hierarchically designing the strategy library, and dynamically adjusting the priority of each strategy in the strategy library; and performing intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and the strategy library. The memory may include main memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which can be an industry standard architecture bus, a peripheral component interconnection standard bus, an extended industry standard architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store the program; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.
[0116] Example 7
[0117] A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of an operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system. For example, the method includes: acquiring multi-dimensional operation and maintenance indicators for the isolated supercritical carbon dioxide cycle power generation system; constructing a strategy library for the isolated supercritical carbon dioxide cycle power generation system, hierarchically designing the strategy library, and dynamically adjusting the priority of each strategy in the strategy library; and performing intelligent decision-making and execution optimization for the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and the strategy library. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.
[0118] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0119] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0120] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0121] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0122] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.
[0123] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.
[0124] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.
Claims
1. A method for operation and maintenance of an isolated supercritical carbon dioxide cycle power generation system, characterized in that, include: Obtain multi-dimensional operation and maintenance indicators for isolated supercritical carbon dioxide cycle power generation systems; A strategy library for an isolated supercritical carbon dioxide cycle power generation system is constructed, the strategy library is designed hierarchically, and the priority of each strategy in the strategy library is dynamically adjusted. Intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system are performed based on the aforementioned multi-dimensional operation and maintenance indicators and strategy library.
2. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 1, characterized in that, The multi-dimensional operation and maintenance indicators include operating condition parameters, equipment health indicators, energy efficiency prediction indicators, and isolated resource constraint indicators.
3. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 2, characterized in that, The operating condition parameters include core operating condition parameters, turbine and compressor performance parameters; The equipment health indicators include the wear, corrosion, and leakage status of the integrated turbine compressor and heat exchanger. The energy efficiency prediction indicators include short-term prediction indicators and long-term prediction indicators. The resource constraints for isolated islands include the inventory of spare parts, the availability of environmental resources, and the response time of maintenance personnel.
4. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 1, characterized in that, The process of hierarchically designing the strategy library is as follows: The first-level strategy is to match online maintenance operations for transient faults; the second-level strategy is to formulate a backup switchover plan based on the prediction results; and the third-level strategy is to activate load reduction operation and AR remote guidance maintenance when resources are scarce.
5. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 1, characterized in that, The intelligent decision-making and execution optimization of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and strategy library includes real-time strategy matching, adaptive optimization under resource constraints, and power supply continuity assurance.
6. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 5, characterized in that, The real-time strategy matching process is as follows: based on operating condition parameters, equipment health indicators, and energy efficiency prediction indicators, the most suitable operation and maintenance strategy for the current system state is matched.
7. The operation and maintenance method for an isolated supercritical carbon dioxide cycle power generation system according to claim 5, characterized in that, The process of adaptive optimization of resource constraints is as follows: based on the isolated resource constraint index, the priority of operation and maintenance strategies and resource allocation are dynamically adjusted, and the strategy ranking is optimized in real time to ensure that the operation and maintenance benefits are maximized under limited resource conditions.
8. An operation and maintenance system for an isolated supercritical carbon dioxide cycle power generation system, characterized in that, include: The acquisition module is used to acquire multi-dimensional operation and maintenance metrics; The module is used to build a strategy library for an isolated supercritical carbon dioxide cycle power generation system, to design the strategy library hierarchically, and to dynamically adjust the priority of each strategy in the strategy library. The execution module is used to make intelligent decisions and optimize the execution of the isolated supercritical carbon dioxide cycle power generation system based on the multi-dimensional operation and maintenance indicators and the strategy library.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system as described in any one of claims 1-7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the operation and maintenance method for the isolated supercritical carbon dioxide cycle power generation system as described in any one of claims 1-7.