CN115407686A - Wisdom operating system of thermal power plant - Google Patents

Abstract

The invention relates to the technical field of power plant operation management, in particular to an intelligent operation system of a thermal power plant. The method comprises the following steps: the system comprises a monitoring disc module, a wide load cruise module and a system real-time control module. The monitoring module applies an active monitoring technology and an operation guidance technology to realize data intermediate analysis and processing and system level guidance in the production process. The wide-load cruise module completes the start/stop of the unit and realizes the self-adaptive control of the combustion stability under the low-load flexible scheduling operation. The system real-time control module utilizes control algorithms of predictive control and variable structure control to fundamentally solve the control problems of large delay and large inertia of the thermal power generating unit. The invention can meet the requirements of safe, environment-friendly, energy-saving and flexible operation of the unit to the maximum extent, replaces or guides the operation personnel to better and optimally adjust the operation of the unit, reduces the working strength of the operation personnel, improves the working efficiency and reduces the misoperation risk.

Description

Wisdom operating system of thermal power plant

Technical Field

The invention relates to the technical field of power plant operation management, in particular to an intelligent operation system of a thermal power plant.

Background

According to the guidance of the development planning of Internet and intelligent energy and a new generation of artificial intelligence, and the comprehensive promotion of new technologies such as big data and artificial intelligence in a thermal power plant, the intelligent demand of the thermal power plant is more and more urgent. Adopt more effective, the wisdom power plant of integration, effectively fuse thermal power business, improve thermal power enterprise's modernized management level and economic benefits, strengthen the core competitiveness, be the general trend of thermal power plant wisdom operation development.

At present, technologies such as internet technology, artificial intelligence and big data are used for demonstration in scenes such as thermal power security monitoring and routing inspection, but free and autonomous construction is mainly used, and thermal power application scenes are not closely combined; meanwhile, more emphasis is placed on information integration display and management decision, and a certain separation exists between the information integration display and the real-time operation control. Therefore, the generator set can adapt to working condition changes such as coal quality, grid regulation load, environment temperature, equipment conditions and the like, the automatic cruising of the generator set in a wide load range and the flexible scheduling operation under low load are realized, the real-time data processing and management decision-making service of the thermal power plant is comprehensively developed and integrated, the informatization, automation and intellectualization of the operation, maintenance and management of the thermal power plant are realized, and the method is very important.

Disclosure of Invention

In order to solve the problems, the invention provides an intelligent operation system of a thermal power plant.

The invention provides an intelligent operation system of a thermal power plant, which comprises a supervisory disk module, a wide-load cruise module and a system real-time control module, wherein the system comprises:

the monitoring module is used for monitoring the operation of the thermal power plant, analyzing faults, diagnosing the faults and guiding maintenance of the faults, and transmitting the operation condition and data parameters of the thermal power plant to the wide load cruise module;

the wide load cruise module is used for adjusting the start/stop of the unit under various load conditions according to the data obtained from the monitoring module, actively adjusting the load of the unit, keeping the unit running at a normal level and transmitting the running data of the unit under a normal state to the system real-time control module;

and the system real-time control module performs adaptive control according to the data transmitted by the wide load cruise module, and assists the wide load cruise module to adjust the operating condition of the thermal power plant by designing variable structures, variable parameters, adaptive active coordination, active steam temperature adjustment and denitration control strategies.

Preferably, the monitoring module can acquire the alarm information level of the abnormal parameter according to the abnormal level of the abnormal parameter and a preset corresponding relationship between the abnormal level and the alarm information level to realize the graded alarm prompt of the abnormal parameter, and then analyze the alarm information according to the fault identification to generate an alarm information analysis result for a person to check and confirm. Aiming at fault reasons or emergency information, a strategy is guided to generate a disposal guide scheme according to a preset operation guide technology, and an operator is aware of running operation according to the fault disposal guide scheme to eliminate faults.

Preferably, the monitoring module acquires real-time data of the thermal power plant through an active monitoring technology, presets an abnormal parameter value, compares the real-time data obtained from the thermal power plant with the preset abnormal parameter value, determines whether the data of the thermal power plant is abnormal or not, and generates parameter abnormal alarm information to give an alarm if the data of the thermal power plant is abnormal.

Preferably, the monitoring module is further configured to send the thermal power plant data acquired in real time to the monitoring terminal to generate a monitoring screen for display, and generate monitoring reminding information to be sent to the monitoring terminal so as to remind an operator to check the monitoring screen regularly.

Preferably, the wide-load cruise module also can realize self-adaptive control of combustion stability under low-load flexible scheduling operation, so that the problems of low operation efficiency and poor flexibility in low-load operation are solved, and the combustion stability under low load can be realized through the self-adaptive control.

Preferably, the system real-time control module calculates various control problems of the thermal power plant in advance by using control algorithms of predictive control and variable structure control, and fundamentally solves the control problems of large delay, large inertia, nonlinearity, multiple time changes and strong coupling of the thermal power unit.

Preferably, the system real-time control module can also integrate the traditional feed-forward, feedback and decoupling control ideas, and design a variable structure, variable parameters, self-adaptive active coordination, active steam temperature regulation and denitration control strategy.

Preferably, the intelligent operation system of the thermal power plant develops an intelligent operation center through a DCS system.

Preferably, the active alarm technology module is associated with the DCS system module, and is configured to receive alarm information from the DCS system module and the active alarm technology module, analyze the alarm information according to a preset alarm analysis policy, and generate an alarm information analysis result, where the alarm information analysis result includes one or more fault reasons and a probability of occurrence of each fault reason, and is used by an operator to check and confirm the alarm information.

Preferably, the intelligent operation center comprises a real-time calculation control layer, a learning layer, a standardization interface and an industrial standard protocol layer.

Preferably, the learning layer performs feature vector extraction, big data analysis and algorithm learning on the basis of the real-time calculation control layer

Preferably, the real-time calculation control layer comprises a timing sequence compensation, high-precision differentiation and self-adaptive filtering control module.

The real-time calculation control layer integrates the conventional control function of DCS, and the multi-service control function is perfected through the standard configuration design; the learning layer performs feature vector extraction and algorithm learning on the basis of the real-time calculation control layer, and the learning layer can better assist the real-time calculation control layer to play a role; the standardized interface and the industrial standard protocol layer can be compatible and integrated with the control module, and the strong advantages of the operation center are fully exerted.

The intelligent operation system of the thermal power plant provided by the invention at least comprises the following beneficial effects: supervision module among the wisdom operating system of thermal power plant can monitor power plant's data to can judge whether have abnormal parameter in the power plant's data through its initiative supervision function that owns, when having abnormal parameter, can carry out initiative warning according to the confirmed abnormal parameter grade of fault identification. And the monitoring module can also analyze the alarm information through a fault identification technology to obtain a fault reason, and then generates a fault disposal guidance scheme for reference of an operator through an operation guidance technology. Therefore, the workload of operators is reduced, and the loss of the thermal power plant caused by the error adjustment of the operation parameters or the failure in effective processing of the faults of the thermal power plant due to the error judgment of the operators is avoided. The wide-load cruise module and the system implementation control module fully utilize artificial intelligence to realize the start/stop of the unit and the self-adaptive control. Therefore, the advantages of the internet technology and artificial intelligence can be better played, and the operation and management level of the thermal power plant is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

FIG. 1 is a schematic diagram of an intelligent operation system according to an embodiment of the present invention;

FIG. 2 is a diagram illustrating relationships between various modules of an intelligent operating system according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a monitoring module according to an embodiment of the present invention;

fig. 4 is a schematic diagram of modules included in the supervisory disk module according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.

In an embodiment of the present invention, as shown in fig. 1 and fig. 2, an intelligent operation system for a thermal power plant is disclosed, which includes a supervisory disk module, a wide load cruise module, and a system real-time control module, wherein: the monitoring module monitors the operation of the thermal power plant, gives out a fault alarm and guides the maintenance of the fault by applying the technologies of active monitoring, active alarm, fault identification and operation guidance, and then transmits the unit operation condition and data parameters to the wide load cruise module to realize intermediate analysis and processing of data, unit operation optimization and hierarchical guidance of the production process; through an active monitoring technology, an active alarm technology, a fault recognition technology and an operation guidance technology, the system level control in the production process is finally realized by actively replacing people to monitor, analyze, diagnose and guide the operation.

Specifically, a monitoring module in the intelligent operating system of the thermal power plant can monitor data of the thermal power plant, can judge whether abnormal parameters exist in the data of the thermal power plant through an active monitoring function of the monitoring module, and can perform intelligent alarm according to the abnormal parameter level determined by fault identification when the abnormal parameters exist according to the preset abnormal level of the abnormal parameters and the corresponding relation between the preset abnormal level and the alarm information level.

The preset abnormal parameter determination strategy is as follows: the method comprises the steps of obtaining equipment habits summarized artificially and equipment habits analyzed by a big data platform, establishing an equipment habit library based on the equipment habits, the current operation working condition of the thermal power plant and the preset normal operation interval of the thermal power plant data, and judging whether abnormal parameters exist in the thermal power plant data according to the equipment habit library.

And the monitoring module can also analyze the alarm information through a fault identification technology to obtain a fault reason, and then generates a fault disposal guidance scheme for reference of an operator through an operation guidance technology. Aiming at fault reasons or emergency information, a strategy is guided to generate a disposal guide scheme according to a preset operation guide technology, and operation personnel are conscious to operate according to the fault disposal guide scheme to eliminate faults.

In another embodiment of the present invention, the monitoring module is further configured to send the data of the thermal power plant acquired in real time to the monitoring terminal to generate a monitoring screen for displaying, and generate monitoring reminding information to be sent to the monitoring terminal to remind an operator to check the monitoring screen regularly. In the embodiment, the monitoring module replaces the original operation recording sheet recording work to remind the operator to turn over each system picture regularly, so that the operator can find the parameter abnormality in time.

Furthermore, parameter index analysis such as change rate, change amplitude, fluctuation frequency and the like of preset important parameters is displayed in the monitoring picture, so that operating personnel can find abnormal trends of the parameters in time. Furthermore, the monitoring module stores the parameters of the thermal power plant according to a time sequence, so that a user can call and analyze the abnormal conditions of the historical parameters at any time through the monitoring terminal.

In another embodiment of the present invention, the system further includes a supervisory disk module connected to the operation assistant module and the active alarm technology module, and configured to receive the emergency information or the fault cause sent by the active alarm technology and confirmed by the operator, and generate a fault handling guidance scheme according to a preset fault handling guidance policy for the fault cause or the emergency information, so that the operator performs operation according to the fault handling guidance scheme to eliminate the fault.

Furthermore, the monitoring module in the intelligent operation system of the thermal power plant also comprises an optimizer module, and the optimizer module is connected with the operation assistant module; and the optimization operator module is used for acquiring the monitoring result from the monitoring module, acquiring the big data analysis result of the corresponding historical optimal operating condition from the monitoring module, generating parameter online adjustment guidance information according to a preset parameter adjustment guidance strategy and the big data analysis result of the historical optimal operating condition of the big data platform, and sending the parameter online adjustment guidance information to the operation assistant module.

And the operation assistant module is also used for outputting the optimized adjustment guiding information of the parameters according to the parameter online adjustment guiding information and the executable judgment result of the execution equipment corresponding to the parameter online adjustment guiding information, so as to guide the operator to perform optimized adjustment on the parameters of the execution equipment when the operator performs regular work.

Furthermore, an evaluation module is further included in a monitoring module in the intelligent operation system of the thermal power plant, and the evaluation module is connected with the optimizer module; the method is used for obtaining parameter online adjustment guide information, taking the parameter online adjustment guide information as an optimal operation adjustment mode of the parameter to be adjusted, obtaining an actual operation adjustment mode of the parameter to be adjusted of an operator, and comparing the two modes to give an optimal operation mode.

In the embodiment of the invention, the wide-load cruise module realizes the active start/stop of the unit under the condition of high load by perfecting the automation of start/stop, variable load and start/stop/parallel operation of equipment, actively adjusts the load of the unit, keeps the unit always running at a normal level, and transmits running data of the unit under a normal state to the system real-time control module to record the data.

In the embodiment of the invention, the intelligent operation system of the thermal power plant realizes the self-adaptive control of the combustion stability under the conditions of starting/stopping of a unit, variable load and low-load flexible scheduling operation through the wide-load cruise module, and realizes the self-adaptive control of the combustion stability under the conditions of low-load flexible scheduling operation. The problems of low operation efficiency and poor flexibility in low-load operation are solved, and the combustion stability under low load can be improved through self-adaptive control. Make wisdom operation system more practical, further improve the operation management level of thermal power plant, reduce operation personnel's work, improve operation personnel's work efficiency.

In the embodiment of the invention, the system real-time control module is combined with the intelligent operation system of the thermal power plant, the operation of the whole unit is monitored in real time by relying on data in the system real-time control module by means of an active monitoring technology in the intelligent operation system of the thermal power plant, the real-time monitored data is transmitted to the active alarm technology module for comparison, and the active alarm technology module can automatically alarm when the monitored data value exceeds or is lower than an extreme value.

In the embodiment of the invention, a system real-time control module is combined with an intelligent operating system of the thermal power plant, the unit state data and the abnormal data of the power plant equipment can be acquired by means of an active monitoring module technology module in the intelligent operating system of the thermal power plant, executable judgment is carried out on executing equipment corresponding to a regular test plan and a preset soot blowing plan through operation guidance technology on-site measures, and a regular work prompt is generated according to an executable judgment result to remind operating personnel to execute regular work.

Specifically, in the embodiment of the invention, the regular test plan is the regular work of the well-made equipment, so that the fault and hidden danger of the equipment can be found in time, and the precautionary measures can be processed or made in time, thereby ensuring the normal standby of the standby equipment and the long-term safe and reliable operation of the operating equipment. The regular test plan can be revised in real time according to the operating condition of the thermal power plant and the execution condition of regular work, and the soot blowing plan is as follows: during the operation of the boiler using solid fuel, the accumulated dust on the heating surface is periodically blown off to improve the heat transfer efficiency and keep the original output of the boiler. And performing executable judgment on the execution equipment corresponding to the periodic test plan or the soot blowing plan, namely judging whether the execution equipment meets preset executable conditions, if so, forming a periodic work prompt of the periodic test plan, and reminding operators to execute the periodic work under an allowed condition (namely, under the condition of meeting the operation rule).

In the embodiment of the invention, the system real-time control module utilizes advanced control algorithms such as predictive control and variable structure control, integrates the traditional feedforward, feedback and decoupling control ideas, designs variable structure, variable parameters, self-adaptive active coordination, active steam temperature regulation and denitration control strategies, and fundamentally solves the control problems of large delay, large inertia, nonlinearity, multiple time changes, strong coupling and the like of the thermal power generating unit.

Specifically, the system real-time control module is further configured to output parameter optimization adjustment guidance information according to the monitoring module and an executable determination result (the executable determination result is generated according to the regular work and the device state in combination with the executable condition determination) of the execution device corresponding to the monitoring module, so as to guide an operator to perform optimization adjustment on the parameters of the execution device when the operator performs the regular work, thereby achieving optimal safety, economy and environmental protection.

Further, in the embodiment of the present invention, key parameters to be optimized and adjusted, such as steam temperature, wall temperature, NOx emission concentration, and the like, may be preset by a user, and are used to obtain parameter online adjustment guidance information, use the parameter online adjustment guidance information as an optimal operation adjustment manner for parameters to be adjusted, obtain an actual operation adjustment manner for the parameters to be adjusted of an operator, compare the actual operation adjustment manner with the optimal operation adjustment manner, track and evaluate a performance difference between the actual operation adjustment manner and the optimal operation adjustment manner in real time, generate and record a comparison deviation result, and send the comparison deviation result to the operation guidance technology module, so as to prompt the operator to compare the deviation result through the operation guidance technology module, and send the comparison deviation result to the optimization module, and send the comparison deviation result to the big data platform through the optimization module, so as to assist updating of an analysis sample of the big data platform.

The operation guidance technology only generates parameter online adjustment guidance information aiming at the key parameters, so that the operation guidance technology outputs the optimized adjustment guidance information of the key parameters according to the parameter online adjustment guidance information of the key parameters and the executable judgment result of the corresponding execution equipment. The key parameters are preset, so that the operation guidance technology only analyzes the key parameters, the occupation of the operation guidance technology resources can be reduced, the analysis efficiency of the operation guidance technology is improved, and the analysis speed is increased.

In the embodiment of the invention, the intelligent operation system of the thermal power plant utilizes advanced technologies such as big data, artificial intelligence and the like, so that the generator set can adapt to working condition changes such as coal quality, network regulation load, environmental temperature, equipment condition and the like, and the automatic cruising of the generator set in a wide load range and the flexible scheduling operation under low load are realized. The system can comprehensively develop and integrate services such as real-time data processing, management decision and the like of the thermal power plant, and realize informatization, automation and intellectualization of operation, maintenance and management of the thermal power plant.

In the embodiment of the invention, the intelligent operation system of the thermal power plant develops the intelligent operation center by relying on a Huaneng 'Ruo Wo' DCS system.

Specifically, the DCS (distributed control system) is a new-generation instrument control system based on a microprocessor and adopting a design principle of decentralized control functions, centralized display operation, and consideration of point-to-point self-control and comprehensive coordination. In the embodiment of the invention, an active monitoring panel in a monitoring panel module receives alarm information of various aspects of the intelligent operation system of the thermal power plant, such as DCS alarm information sent by the DCS, and performs abnormity and fault analysis on the alarm information according to a preset alarm analysis strategy to give out potential possible fault reasons and probability corresponding to the fault reasons so as to be checked by operation personnel.

In the embodiment of the invention, the intelligent operation center consists of a real-time computation control layer, a learning layer, a standardized interface and an industrial standard protocol layer.

Specifically, the real-time calculation control layer forms a high-level controller by utilizing control modules such as time sequence compensation, high-precision differentiation and adaptive filtering, the conventional control function of the original DCS is fused, and the multi-service control function is perfected through standard configuration design.

For example, when the waste heat boiler is in a rated working condition, the real-time calculation control layer controls the temperature of main steam to reach a rated temperature by adjusting the temperature-reducing water to a set flow, and the unit is started/controlled.

In the embodiment of the invention, the learning layer performs feature vector extraction, big data analysis and algorithm learning on the basis of the real-time calculation control layer.

In an embodiment of the present invention, the feature vector extraction unit is further connected to the big data analysis, and is configured to obtain an operation analysis result of each operator from the big data analysis. For example, the analysis of the operation behavior of the operator, such as many actual operations, large deviation of the result (which means that the performance difference between the actual operation adjustment mode and the optimal operation adjustment mode is large), and importance (such as affecting safety, economy, and environmental protection).

Specifically, the analysis process comprises the steps of comparing the same operation, extracting the optimal operation parameters, and analyzing the optimal operation parameters to obtain the analysis results of safety, economy and environmental protection. And establishing an operation habit library of operators based on the operation analysis result, and providing an operation improvement and promotion suggestion by combining the actual operation adjustment mode of the current operators.

Specifically, the operation data is stored in the big data analysis platform, the big data analysis platform analyzes the operation data, and an operation analysis result (operation habit) is generated, so that an operation habit library is established, the operation habit library stores the operation habits, and the operation habits comprise the optimal operation of normal operation adjustment, regular work, unit start and stop and accident exception handling.

Further, in the embodiment of the invention, the learning layer can obtain the equipment habit summarized manually and the equipment habit obtained by big data analysis, establish an equipment habit library based on the equipment habit, the current operation condition of the thermal power plant and the preset normal operation interval of the thermal power plant data, and judge whether the thermal power plant data has abnormal parameters according to the equipment habit library.

Specifically, in this embodiment, the plant behavior refers to the performance and characteristics of the plant, and the operation condition refers to the state of the production device and the production operation of the plant in the thermal power plant. The equipment habit library stores the state parameter range of each equipment in the thermal power plant under the normal operation condition. It should be understood that the operating parameters of each device in the thermal power plant are within the above-mentioned ranges of the condition parameters under normal operating conditions.

The standardized interface is compatible with an industrial standard protocol layer and integrates an intelligent control module with excellent third-party performance, and the strong advantages of the operation center are fully exerted.

The intelligent operation system of the thermal power plant can meet the requirements of safe, environment-friendly, energy-saving and flexible operation of the unit to the maximum extent, intelligently replaces or guides operators to adjust the unit to operate better and more optimally, reduces the working strength of the operators, improves the working efficiency and reduces the misoperation risk. The intelligent power generation operation control management mode with self-learning, self-adaption, self-optimization, self-recovery and self-organization is formed, and the production targets of safety, high efficiency, cleanness, low carbon and flexibility are achieved.

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. The utility model provides a wisdom operating system of thermal power plant which characterized in that includes: supervision dish module, wide load cruise module and system real-time control module, wherein:

the monitoring module is used for monitoring the operation of the thermal power plant, analyzing faults, diagnosing the faults and guiding and maintaining the faults, and transmitting the operation condition and data parameters of the thermal power plant to the wide load cruise module;

the wide-load cruise module adjusts the operation condition of the thermal power plant under various load conditions according to the data obtained from the monitoring module, keeps the thermal power plant operating at a normal level and transmits the operation data of the thermal power plant under a normal state to the system real-time control module;

the system real-time control module performs self-adaptive control according to the data transmitted by the wide load cruise module, and assists the wide load cruise module to adjust the operating condition of the thermal power plant by designing variable structures, variable parameters, self-adaptive active coordination, active steam temperature adjustment and denitration control strategies.

2. The intelligent operation system of a thermal power plant as claimed in claim 1,

the monitoring module is used for presetting abnormal parameter values, comparing the real-time data obtained from the thermal power plant with the preset abnormal parameter values after the real-time data of the thermal power plant are obtained, determining whether the data of the thermal power plant are abnormal or not, and generating parameter abnormal alarm information to give an alarm if the data of the thermal power plant are abnormal.

3. The intelligent operation system of a thermal power plant as claimed in claim 1,

the wide load cruise module realizes self-adaptive control of combustion stability under low-load flexible scheduling operation by adjusting the starting/stopping of a unit, load variation, and equipment starting/stopping/parallel quitting automation.

4. The intelligent operation system of a thermal power plant as claimed in claim 1,

the system real-time control module calculates various control problems of the thermal power plant in advance by using control algorithms of predictive control and variable structure control.

5. The intelligent operation system of a thermal power plant as claimed in claim 1,

the intelligent operation system of the thermal power plant further comprises an operation center, wherein the operation center is developed based on a DCS (distributed control system), the operation center is combined with an active alarm technology, abnormity and fault analysis are carried out on alarm information according to a preset alarm analysis strategy, one or more fault reasons existing in the operation center and the probability of occurrence of each corresponding fault reason are given, and the operation center is used for operation personnel to check.

6. The intelligent operating system of a thermal power plant as claimed in claim 2, wherein the preset abnormal parameter value determination strategy is: the method comprises the steps of obtaining manually summarized equipment habits and equipment habits analyzed by a big data platform, establishing an equipment habit library based on the equipment habits, the current operation condition of the thermal power plant and the preset normal operation interval of the thermal power plant data, and judging whether the thermal power plant data is abnormal or not according to the equipment habit library.

7. The intelligent operation system of a thermal power plant as claimed in claim 6, wherein the supervisory control module determines a safety boundary according to equipment behavior, obtains economic condition distribution, and draws real-time operation envelope lines or contour maps of key parameters and key equipment conditions, so that an operator can grasp operation safety margins and performance distribution of key equipment and key parameters.

8. The intelligent operation system of the thermal power plant as claimed in claim 5, wherein the operation center comprises a real-time computation control layer, a learning layer, a standardized interface and an industry standard protocol layer, wherein the real-time computation control layer integrates DCS conventional control function, and perfects multi-service control function through standard configuration design; the learning layer performs feature vector extraction and algorithm learning on the basis of the real-time calculation control layer, so that the calculation speed of the real-time calculation control layer is increased, and the real-time calculation control layer is better assisted to play a role; the standardized interface and the industrial standard protocol layer can be compatible and integrated with the control module, all modules of the operation center are integrated with information exchange, and the strong advantages of the operation center are fully exerted.

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