CN113204229A - Intelligent self-checking system of thermal generator set control system - Google Patents

Intelligent self-checking system of thermal generator set control system Download PDF

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CN113204229A
CN113204229A CN202110484508.3A CN202110484508A CN113204229A CN 113204229 A CN113204229 A CN 113204229A CN 202110484508 A CN202110484508 A CN 202110484508A CN 113204229 A CN113204229 A CN 113204229A
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checking
control system
self
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CN113204229B (en
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王宏伟
焦鹏程
王科峰
孔振华
郭海俊
杨勇
张东明
郭盾
安凤栓
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Guoneng Zhishen Control Technology Co ltd
Guoneng Zhumadian Thermal Power Co ltd
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Guoneng Zhishen Control Technology Co ltd
Guoneng Zhumadian Thermal Power Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0256Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults injecting test signals and analyzing monitored process response, e.g. injecting the test signal while interrupting the normal operation of the monitored system; superimposing the test signal onto a control signal during normal operation of the monitored system
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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    • G05B2219/24065Real time diagnostics

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Abstract

The invention relates to the technical field of thermal power unit control, in particular to an intelligent self-checking system of a thermal power unit control system. The system comprises a thermal generator set control system, a large-scale real-time historical database and an intelligent self-checking system; the thermal generator set control system is used for monitoring various parameters of the thermal generator set and collecting and transmitting monitored data to the large-scale real-time historical database; the large real-time historical database comprises a first-class data acquisition module, a second-class data acquisition module, a data checking module, a data integration module and a data transmission module; the intelligent self-checking system comprises an offline modeling unit, a real-time calculating unit, a visual display unit and a control system self-checking unit. The invention mainly solves the problems that the control system of the thermal generator set only displays self-checking picture load and temperature, and cannot realize automatic abnormity detection and analysis of the control system, so that when the control system fails, the control system cannot find the fault timely and accurately.

Description

Intelligent self-checking system of thermal generator set control system
Technical Field
The invention relates to the technical field of thermal power unit control, in particular to an intelligent self-checking system of a thermal power unit control system.
Background
With the continuous development of automation and informatization in the power production process, a thermal power unit control system becomes the fourth most important technical equipment which is as important as a machine, a furnace and electricity, and plays a vital role in the safety, economy and environmental protection performance of unit operation. Taking a large-scale thermal generator set as an example, the system has the advantages of large capacity, high parameters, large control difficulty and obvious influence on the safety and stability of a power grid, can overcome internal and external disturbance in the power generation process, is suitable for complex working conditions such as large-scale variable load, variable coal quality and coal variety and the like, realizes power control of a quick response central regulation instruction, can realize accurate operation parameter control and safety and stability control, and provides higher requirements for a power generation process control system.
At present, the thermal generator set alarm system can only cover the machine, furnace and electric process parameters of the set, parameters such as network communication state, network load rate, controller temperature, controller load rate, configuration matching condition of the controller, communication state of each IO card piece and the like related to the control system are only displayed on a self-checking picture of the control system, automatic abnormal detection and analysis of the parameters of the control system cannot be realized, when the control system breaks down, the parameters cannot be timely and accurately found, and certain potential safety hazards exist in the operation of the whole set.
Disclosure of Invention
The invention aims to provide an intelligent self-checking system of a thermal generator set control system, which aims to solve the problems in the background technology.
In order to achieve the aim, the invention provides an intelligent self-checking system of a thermal generator set control system, which comprises the thermal generator set control system, a large-scale real-time historical database and an intelligent self-checking system;
the thermal generator set control system is used for monitoring various parameters of the thermal generator set and collecting and transmitting monitored data to a large real-time historical database;
the large real-time historical database collects, analyzes and stores data transmitted by a thermal generator set control system and transmits the collected data to the intelligent self-checking system;
the intelligent self-checking system is used for modeling and calculating data transmitted by the large real-time historical database and performing self-checking on the data untimely;
the large real-time historical database comprises a first-class data acquisition module, a second-class data acquisition module, a data checking module, a data integration module, a data transmission module and a data storage module;
the thermal generator set control system comprises a first-class data acquisition module, a second-class data acquisition module, a data checking module, a data transmission module and a data storage module, wherein the first-class data acquisition module and the second-class data acquisition module are used for acquiring data transmitted by the thermal generator set control system, the data checking module is used for comparing and checking the data transmitted by the first-class data acquisition module and the second-class data acquisition module, the data integration module is used for integrating the data transmitted by the data checking module and respectively transmitting the integrated data to the data transmission module and the data storage module, the data transmission module transmits the integrated data to the control system, and the data storage module stores the integrated data;
the intelligent self-checking system comprises an offline modeling unit, a real-time calculating unit, a visual display unit and a control system self-checking unit;
the off-line modeling unit is used for receiving data transmitted by the data transmission module and modeling the data, the real-time computing unit receives and analyzes the data modeled by the off-line modeling unit, the visual display unit is used for displaying the data, and the control system self-checking unit is used for analyzing and self-checking the data transmitted by the large real-time historical database.
As a further improvement of the technical scheme, the first-class data acquisition module and the second-class data acquisition module respectively comprise a data acquisition module, a data comparison module and a data transmission module;
the data acquisition module is used for acquiring information transmitted by a thermal generator set control system, the data comparison module is used for comparing the acquired data with specified data, and the data transmission module is used for transmitting the compared data.
As a further improvement of the technical solution, the large real-time historical database further includes a feedback module, the feedback module is configured to feed back the data checked by the data checking module, and the feedback posture is as follows:
the data checking module checks the data transmitted by the first-class data acquisition module and the second-class data acquisition module;
posture one: the data checking module checks that the data collected by the first-class data collection module and the second-class data collection module are the same, and directly transmits the checked data to the data integration module;
and (5) posture II: when the data checking module checks that the data acquired by the first-class data acquisition module and the second-class data acquisition module are different, the data checking module feeds back information to the feedback module, so that the feedback module transmits the information to the first-class data acquisition module and the second-class data acquisition module, and the first-class data acquisition module and the second-class data acquisition module acquire the control system of the thermal generator set again.
As a further improvement of the technical scheme, a counting module and a warning module are arranged in the feedback module, when the data checking module continuously feeds back information to the feedback module for multiple times within a certain time, and the counting module sends a warning to the warning module when reaching the specified times, so that a worker is warned, and articles in the control system of the thermal generator set are detected and maintained.
As a further improvement of the technical scheme, the control system self-checking unit comprises a modeling data acquisition module, a data preprocessing module, an offline self-checking data calculation module and a data real-time transmission module;
the modeling data acquisition module is used for receiving data transmitted by the real-time calculation unit and the data transmission module, the data preprocessing module is used for preprocessing the data acquired by the modeling data acquisition module, the off-line self-checking data calculation module is used for calculating off-line modeling data, and the data real-time transmission module is used for transmitting the data transmitted by the off-line self-checking data calculation module to the off-line modeling unit.
As a further improvement of the technical solution, the self-checking unit of the control system performs self-checking in the following steps:
firstly, selecting all historical data for modeling;
secondly, data preprocessing is carried out;
processing modeling data;
fourthly, evaluating and updating the model;
fifthly, data feedback.
As a further improvement of the technical solution, the intelligent self-checking system further includes an abnormal data storage unit, and the abnormal data storage unit is configured to store the abnormal data calculated by the real-time calculation unit, and transmit the stored data to the visual display unit for display.
As a further improvement of the technical scheme, the real-time computing unit and the off-line self-checking data computing module both adopt a neural network modeling algorithm, and the algorithm steps are as follows:
an input layer:
by input
Figure BDA0003049779300000041
Connection weight wijAnd a threshold value thetajIn the calculation ofInput s of cells of an interlayerjThen calculating the output b of each unit in the middle layer by using the transfer function of the input layerj
Wherein the input layer transfer function f (n) is a TANSIL function
Figure BDA0003049779300000042
An intermediate layer:
computing the output b of the cells of the intermediate layer by the transfer function of the input layerj
Figure BDA0003049779300000043
bj=f(sj)j=1,2......p
An output layer:
using the output b of the intermediate layerjAnd the connection weight vjCalculating the output L of each unit of the output layer according to the threshold value gamma, and then calculating the response C of each unit of the output layer through the transfer function of the output layer;
Figure BDA0003049779300000044
Ck=f(L);
wherein the transfer function f (n) of the output layer is LOGSIG function
Figure BDA0003049779300000045
In the formula, i is the index number of the sample; j is the number of neurons in the middle layer.
The invention also aims to provide an intelligent self-checking method for a thermal generator set control system, which comprises the intelligent self-checking system for the thermal generator set control system, and comprises the following steps:
s1, acquiring data transmitted by a thermal generator set control system by a data acquisition module in the first-class data acquisition module and the second-class data acquisition module, transmitting the acquired data to a data comparison module, comparing the transmitted data by the data comparison module, comparing the difference between the data value and a specified data value, transmitting the compared data to a data transmission simulation module after the comparison of the data comparison module is completed, and transmitting the data transmission simulation module to a data checking module;
s2, the data checking module receives data transmitted by the first-class data acquisition module and the second-class data acquisition module, checks the data transmitted by the first-class data acquisition module and the second-class data acquisition module, transmits the checked data to the data integration module when the data transmitted by the first-class data acquisition module and the second-class data acquisition module are within a certain range, integrates the data by the data integration module, transmits the integrated data to the data transmission module, and transmits the integrated data to the control system by the data transmission module;
s3, receiving the data transmitted from the data transmission module by an offline modeling unit, modeling by the offline modeling unit according to the data transmitted by the data transmission module, transmitting the data to a real-time computing unit after modeling, and computing the model established by the offline modeling unit by the real-time computing unit so as to compute the operating condition of the thermal generator set;
s4, when the system self-checks, the modeling data acquisition module receives the data transmitted by the data transmission module and the real-time calculation unit and transmits the received data to the data preprocessing module, the data preprocessing module preprocesses the data and generates a high-quality data sample, the calculated data sample is transmitted to the off-line self-checking data calculation module, the off-line self-checking data calculation module processes the transmitted data and calculates the data for establishing the self-checking off-line model of the control system, the data is transmitted to the off-line modeling unit through the data real-time transmission module, the off-line modeling unit establishes the self-checking off-line model and transmits the established self-checking off-line model to the real-time calculation unit, the real-time calculation unit evaluates the feasibility of the model, when the system is feasible and normal, when the system is not feasible, the system transmits abnormal data to the abnormal data storage unit, and the abnormal data storage unit transmits the abnormal data to the visual display unit, and the visual display unit displays the abnormal data to remind an operator.
As a further improvement of the technical solution, in S1, when the data checked by the data checking module exceeds a certain range, the feedback module transmits information to the feedback module, so that the feedback module transmits information to the first-class data acquisition module and the second-class data acquisition module, so that the first-class data acquisition module and the second-class data acquisition module perform secondary acquisition on the data of the thermal generator set control system, and when the data checking module continuously feeds back to the feedback module for a period of time, the feedback module starts to send a warning.
Compared with the prior art, the invention has the beneficial effects that:
1. in the intelligent self-checking system of the thermal power generating set control system, self-checking is carried out on the whole system through the set control system, and the real-time calculation unit is used for carrying out calculation on the data acquisition modeling of the whole system, so that the system has the automatic verification and updating functions of the model, the internal data of the model are automatically updated, the system has higher reliability, the system can carry out untimely intelligent self-checking, the abnormity of the control system can be found in time, and the reliability and the safety of the operation of the thermal power generating set are further improved.
2. In the intelligent self-checking system of the thermal generator set control system, the system is calculated through the set real-time calculating unit, so that the intelligent calculating platform is integrated in the control system, the abnormal fault of the control system can be identified in the first time, and the expansion of the fault and the accident can be avoided.
Drawings
FIG. 1 is a block diagram of the entirety of embodiment 1;
FIG. 2 is a block diagram of a large real-time historical database of example 1;
fig. 3 is a block diagram of a control system of embodiment 1.
The various reference numbers in the figures mean:
1. a thermal generator set control system;
2. a large real-time historical database; 21. a data type acquisition module; 22. a data second-type acquisition module; 221. a data acquisition module; 222. a data comparison module; 223. a data transmission module; 23. a data collation module; 24. a data integration module; 25. a data transmission module; 26. a data storage module; 27. a feedback module;
3. an intelligent self-checking system; 31. an offline modeling unit; 32. a real-time computing unit; 33. a visual display unit; 34. a control system self-checking unit; 341. a modeling data acquisition module; 342. a data preprocessing module; 343. an offline self-checking data calculation module; 344. a data real-time transmission module; 35. an exception data storage unit.
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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Example 1
The invention provides an intelligent self-checking system of a thermal generator set control system, please refer to fig. 1-3, which comprises a thermal generator set control system 1, a large real-time historical database 2 and an intelligent self-checking system 3;
the thermal generator set control system 1 is used for monitoring various parameters of the thermal generator set and collecting and transmitting monitored data to the large-scale real-time historical database 2;
the thermal generator set control system 1 complementarily collects data such as selected unit load, environment temperature, total fuel quantity, control system network communication state, network load rate, controller temperature, controller load rate, configuration matching condition of the controller, communication state of each IO card piece and the like.
The large real-time historical database 2 collects, analyzes and stores data transmitted by the thermal generator set control system 1 and transmits the collected data to the intelligent self-checking system 3;
the intelligent self-checking system 3 is used for modeling and calculating the data transmitted by the large real-time historical database 2 and performing self-checking on the data untimely;
the large real-time historical database 2 comprises a first-class data acquisition module 21, a second-class data acquisition module 22, a data checking module 23, a data integration module 24, a data transmission module 25 and a data storage module 26;
in order to ensure the reliability of data and the accuracy of subsequent analysis results, two data storage modules 26 are arranged on two sides of the data transmission module 25, and are used as backup for each other.
The first-class data acquisition module 21 and the second-class data acquisition module 22 are used for acquiring data transmitted by the thermal generator set control system 1, the data checking module 23 is used for comparing and checking the data transmitted by the first-class data acquisition module 21 and the second-class data acquisition module 22, the data integration module 24 is used for integrating the data transmitted by the data checking module 23 and respectively transmitting the integrated data to the data transmission module 25 and the data storage module 26, the data transmission module 25 transmits the integrated data to the intelligent self-checking system 3, and the data storage module 26 stores the integrated data;
the intelligent self-checking system 3 comprises an offline modeling unit 31, a real-time calculating unit 32, a visual display unit 33 and a control system self-checking unit 34;
the off-line modeling unit 31 is used for receiving the data transmitted by the data transmission module 25 and modeling the data, the real-time calculating unit 32 is used for receiving and analyzing the data modeled by the off-line modeling unit 31, the visual display unit 33 is used for displaying the data, and the control system self-checking unit 34 is used for analyzing and self-checking the data transmitted by the large real-time historical database 2.
Further, the first data type acquisition module 21 and the second data type acquisition module 22 both include a data acquisition module 221, a data comparison module 222 and a data transmission module 223;
the data acquisition module 221 is configured to acquire information transmitted by the thermal generator set control system 1, the data comparison module 222 compares the acquired data with specified data, and the data transmission module 223 transmits the compared data.
Specifically, the large real-time historical database 2 further includes a feedback module 27, the feedback module 27 is configured to feed back the data checked by the data checking module 23, and the feedback posture is as follows:
the data checking module 23 checks the data transmitted from the first-class data acquisition module 21 and the second-class data acquisition module 22;
posture one: the data checking module 23 checks that the data collected by the first-class data collection module 21 and the second-class data collection module 22 are the same, and directly transmits the checked data to the data integration module 24;
and (5) posture II: when the data checking module 23 checks that the data acquired by the first-class data acquisition module 21 and the second-class data acquisition module 22 are different, the data checking module 23 feeds back information to the feedback module 27, so that the feedback module 27 transmits the information to the first-class data acquisition module 21 and the second-class data acquisition module 22, and the first-class data acquisition module 21 and the second-class data acquisition module 22 acquire the thermal generator set control system 1 again.
In addition, a counting module and a warning module are arranged inside the feedback module 27, and when the data checking module 23 continuously feeds back information to the feedback module 27 for a plurality of times within a certain time, and the counting module reaches a specified number of times, the counting module sends a warning to the warning module, so that a worker is warned, and the articles in the thermal generator set control system 1 are detected and maintained.
Further, the control system self-test unit 34 includes a modeling data acquisition module 341, a data preprocessing module 342, an offline self-test data calculation module 343, and a data real-time transmission module 344;
the modeling data acquisition module 341 is configured to receive data transmitted by the real-time calculation unit 32 and the data transmission module 25, the data preprocessing module 342 is configured to perform data preprocessing on the data acquired by the modeling data acquisition module 341, the offline self-test data calculation module 343 is configured to calculate offline modeling data, and the data real-time transmission module 344 is configured to transmit data transmitted by the offline self-test data calculation module 343 to the offline modeling unit 31.
Specifically, the self-checking steps of the control system self-checking unit 34 are as follows:
firstly, selecting all historical data for modeling; according to the intelligent self-checking requirement of the control system, data such as unit load, environment temperature, total fuel quantity, network communication state of the control system, network load rate, controller temperature, controller load rate, configuration matching condition of the controller, communication state of each IO card piece and the like are selected as model identification data, and all working conditions of the unit can be contained in the selection of historical data.
Secondly, data preprocessing is carried out; and data cleaning, missing value processing, normalization and the like are realized, a high-quality data sample is generated, and a solid foundation is laid for subsequent analysis work.
Processing modeling data; and establishing data of the self-checking offline model of the control system by utilizing a neural network modeling algorithm integrated in the platform and by means of the preprocessed historical data.
Fourthly, evaluating and updating the model; the off-line modeling system has a perfect model verification environment, guarantees the usability of the model, provides a model on-line updating function, and loads the evaluated model into the real-time computing system to realize the on-line application and updating of the model.
Fifthly, data feedback. And feeding back the abnormal record found in the real-time computing system to the control system, and carrying out visual display in the control system to realize intelligent self-inspection of the control system.
Besides, the intelligent self-test system 3 further includes an abnormal data storage unit 35, and the abnormal data storage unit 35 is configured to store the abnormal data calculated by the real-time calculation unit 32, and transmit the stored data to the visual display unit 33 for display.
Further, the real-time calculating unit 32 and the offline self-checking data calculating module 343 both use a neural network modeling algorithm, which includes the following steps:
an input layer:
by input
Figure BDA0003049779300000091
Connection weight wijAnd a threshold value thetajCalculating the inputs s of the cells of the intermediate layerjThen calculating the output b of each unit in the middle layer by using the transfer function of the input layerj
Wherein the input layer transfer function f (n) is a TANSIL function
Figure BDA0003049779300000092
An intermediate layer:
computing the output b of the cells of the intermediate layer by the transfer function of the input layerj
Figure BDA0003049779300000101
bj=f(sj)j=1,2......p
An output layer:
using the output b of the intermediate layerjAnd the connection weight vjCalculating the output L of each unit of the output layer according to the threshold value gamma, and then calculating the response C of each unit of the output layer through the transfer function of the output layer;
Figure BDA0003049779300000102
Ck=f(L);
wherein the transfer function f (n) of the output layer is LOGSIG function
Figure BDA0003049779300000103
In the formula, i is the index number of the sample; j is the number of neurons in the middle layer.
The invention also aims to provide an intelligent self-checking method for a thermal generator set control system, which comprises any one of the intelligent self-checking systems for the thermal generator set control system, and comprises the following steps:
s1, the data acquisition module 221 of the first-class data acquisition module 21 and the second-class data acquisition module 22 acquires data transmitted from the thermal generator set control system 1, transmits the acquired data to the data comparison module 222, the data comparison module 222 compares the transmitted data, compares the difference with a predetermined data value, transmits the compared data to the data transmission module 223 after the comparison of the data comparison module 222 is completed, and transmits the data transmission module 223 to the data check module 23;
s2, the data checking module 23 receives the data transmitted by the first-class data acquisition module 21 and the second-class data acquisition module 22, checks the data transmitted by the first-class data acquisition module 21 and the second-class data acquisition module 22, transmits the checked data to the data integration module 24 when the data transmitted by the first-class data acquisition module 21 and the second-class data acquisition module 22 are within a certain range, integrates the data by the data integration module 24, transmits the integrated data to the data transmission module 25, and transmits the integrated data to the intelligent self-checking system 3 by the data transmission module 25;
s3, the data transmitted from the data transmission module 25 are received by the offline modeling unit 31, the offline modeling unit 31 performs modeling according to the data transmitted from the data transmission module 25, the modeling is transmitted to the real-time computing unit 32 after being completed, and the real-time computing unit 32 computes the model established by the offline modeling unit 31, so that the operation condition of the thermal generator set is computed;
s4, when the system performs self-test, the modeling data collecting module 341 receives the data transmitted from the data transmission module 25 and the real-time calculating unit 32, and transmits the received data to the data preprocessing module 342, the data preprocessing module 342 preprocesses the data and generates a high-quality data sample, the calculated data sample is transmitted to the offline self-test data calculating module 343, the offline self-test data calculating module 343 processes the transmitted data and calculates the data for establishing the self-test offline model of the control system, and transmits the data to the offline modeling unit 31 through the data real-time transmission module 344, the offline modeling unit 31 establishes the self-test offline model, and transmits the established offline self-test offline model to the real-time calculating unit 32, the real-time calculating unit 32 evaluates the feasibility of the model, when the feasibility is available, the system is normal, when the feasibility is unavailable, the system transmits the abnormal data to the abnormal data storage unit 35, the abnormal data is transmitted to the visual display unit 33 by the abnormal data storage unit 35, and the visual display unit 33 displays the abnormal data to remind an operator.
Further, in S1, when the data checked by the data checking module 23 exceeds a certain range, the feedback module 27 transmits information to the first-data-type acquisition module 21 and the second-data-type acquisition module 22, the first-data-type acquisition module 21 and the second-data-type acquisition module 22 acquire the data of the thermal generator set control system 1 again, and when the data checking module 23 continuously feeds back the data to the feedback module 27 for a while, the feedback module 27 starts to send out a warning to remind an operator of performing maintenance.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. The utility model provides a thermal generator set control system intelligence self-checking system which characterized in that: the system comprises a thermal generator set control system (1), a large-scale real-time historical database (2) and an intelligent self-checking system (3);
the thermal generator set control system (1) is used for monitoring various parameters of the thermal generator set and collecting and transmitting monitored data to the large-scale real-time historical database (2);
the large real-time historical database (2) collects, analyzes and stores data transmitted by the thermal generator set control system (1) and transmits the collected data to the intelligent self-checking system (3);
the intelligent self-checking system (3) is used for carrying out modeling calculation on data transmitted by the large real-time historical database (2) and carrying out self-checking on the data untimely;
the large real-time historical database (2) comprises a first-class data acquisition module (21), a second-class data acquisition module (22), a data checking module (23), a data integration module (24), a data transmission module (25) and a data storage module (26);
the first-class data acquisition module (21) and the second-class data acquisition module (22) are used for acquiring data transmitted by the thermal generator set control system (1), the data checking module (23) is used for comparing and checking the data transmitted by the first-class data acquisition module (21) and the second-class data acquisition module (22), the data integration module (24) is used for integrating the data transmitted by the data checking module (23) and respectively transmitting the integrated data to the data transmission module (25) and the data storage module (26), the data transmission module (25) transmits the integrated data to the intelligent self-checking system (3), and the data storage module (26) stores the integrated data;
the intelligent self-checking system (3) comprises an offline modeling unit (31), a real-time computing unit (32), a visual display unit (33) and a control system self-checking unit (34);
the off-line modeling unit (31) is used for receiving data transmitted by the data transmission module (25) and modeling the data, the real-time computing unit (32) is used for receiving and analyzing the data modeled by the off-line modeling unit (31), the visual display unit (33) is used for displaying the data, and the control system self-checking unit (34) is used for analyzing and self-checking the data transmitted by the large real-time historical database (2).
2. The intelligent self-checking system of a thermal generator set control system according to claim 1, characterized in that: the first-class data acquisition module (21) and the second-class data acquisition module (22) respectively comprise a data acquisition module (221), a data comparison module (222) and a data quasi-transmission module (223);
the data acquisition module (221) is used for acquiring information transmitted by the thermal generator set control system (1), the data comparison module (222) is used for comparing the acquired data with specified data, and the data transmission simulation module (223) is used for transmitting the compared data.
3. The intelligent self-checking system of a thermal generator set control system according to claim 1, characterized in that: the large real-time historical database (2) further comprises a feedback module (27), the feedback module (27) is used for feeding back the data checked by the data checking module (23), and the feedback postures are as follows:
the data checking module (23) checks the data transmitted by the first-class data acquisition module (21) and the second-class data acquisition module (22);
posture one: the data checking module (23) checks that the data collected by the first-class data collection module (21) and the second-class data collection module (22) are the same, and directly transmits the checked data to the data integration module (24);
and (5) posture II: when the data check module (23) checks that the data acquired by the first-class data acquisition module (21) and the second-class data acquisition module (22) are different, the data check module (23) feeds back information to the feedback module (27), so that the feedback module (27) transmits the information to the first-class data acquisition module (21) and the second-class data acquisition module (22), and the first-class data acquisition module (21) and the second-class data acquisition module (22) acquire the thermal generator set control system (1) again.
4. The intelligent self-checking system of a thermal generator set control system according to claim 3, characterized in that: the feedback module (27) is internally provided with a counting module and a warning module, when the data checking module (23) continuously feeds back information to the feedback module (27) for a plurality of times within a certain time, the counting module gives a warning to the warning module when the counting module reaches the specified times, so that a worker is warned, and articles in the thermal generator set control system (1) are detected and maintained.
5. The intelligent self-checking system of a thermal generator set control system according to claim 1, characterized in that: the control system self-checking unit (34) comprises a modeling data acquisition module (341), a data preprocessing module (342), an offline self-checking data calculation module (343) and a data real-time transmission module (344);
the modeling data acquisition module (341) is used for receiving data transmitted by the real-time calculation unit (32) and the data transmission module (25), the data preprocessing module (342) is used for preprocessing the data acquired by the modeling data acquisition module (341), the offline self-inspection data calculation module (343) is used for calculating offline modeling data, and the data real-time transmission module (344) is used for transmitting the data transmitted by the offline self-inspection data calculation module (343) to the offline modeling unit (31).
6. The intelligent self-checking system of a thermal generator set control system according to claim 5, characterized in that: the self-checking step of the control system self-checking unit (34) is as follows:
firstly, selecting all historical data for modeling;
secondly, data preprocessing is carried out;
processing modeling data;
fourthly, evaluating and updating the model;
fifthly, data feedback.
7. The intelligent self-checking system of a thermal generator set control system according to claim 1, characterized in that: the intelligent self-checking system (3) further comprises an abnormal data storage unit (35), wherein the abnormal data storage unit (35) is used for storing the abnormal data calculated by the real-time calculation unit (32) and transmitting the stored data to the visual display unit (33) for display.
8. The intelligent self-checking system of a thermal generator set control system according to claim 1, characterized in that: the real-time computing unit (32) and the off-line self-checking data computing module (343) both adopt a neural network modeling algorithm, and the algorithm steps are as follows:
an input layer:
by input
Figure FDA0003049779290000031
Connection weight wijAnd a threshold value thetajCalculating the inputs s of the cells of the intermediate layerjThen calculating the output b of each unit in the middle layer by using the transfer function of the input layerj
Wherein the input layer transfer function f (n) is a TANSIL function
Figure FDA0003049779290000032
An intermediate layer:
computing the output b of the cells of the intermediate layer by the transfer function of the input layerj
Figure FDA0003049779290000033
bj=f(sj)j=1,2......p
An output layer:
using the output b of the intermediate layerjAnd the connection weight vjCalculating the output L of each unit of the output layer according to the threshold value gamma, and then calculating the response C of each unit of the output layer through the transfer function of the output layer;
Figure FDA0003049779290000041
Ck=f(L);
wherein the transfer function f (n) of the output layer is LOGSIG function
Figure FDA0003049779290000042
In the formula, i is the index number of the sample; j is the number of neurons in the middle layer.
9. An intelligent self-checking method for a thermal generator set control system, comprising the intelligent self-checking system for the thermal generator set control system as claimed in any one of claims 1 to 8, characterized in that: the method comprises the following steps:
s1, a data acquisition module (221) in the first-class data acquisition module (21) and the second-class data acquisition module (22) acquires data transmitted by the thermal generator set control system (1), transmits the acquired data to a data comparison module (222), compares the transmitted data by the data comparison module (222), compares the difference with a specified data value, transmits the compared data to a data transmission planning module (223) after the comparison of the data comparison module (222) is completed, and transmits the data transmission planning module (223) to a data verification module (23);
s2, the data checking module (23) receives data transmitted by the first-class data acquisition module (21) and the second-class data acquisition module (22), checks the data transmitted by the first-class data acquisition module (21) and the second-class data acquisition module (22), transmits the checked data to the data integration module (24) when the data transmitted by the first-class data acquisition module (21) and the second-class data acquisition module (22) are within a certain range, integrates the data by the data integration module (24), transmits the integrated data to the data transmission module (25), and transmits the integrated data to the intelligent self-checking system (3) by the data transmission module (25);
s3, the data transmitted from the data transmission module (25) are received by the offline modeling unit (31), the offline modeling unit (31) performs modeling according to the data transmitted by the data transmission module (25), the data are transmitted to the real-time computing unit (32) after modeling is completed, and the real-time computing unit (32) computes the model established by the offline modeling unit (31), so that the operation condition of the thermal generator set is computed;
s4, when the system is self-tested, the modeling data acquisition module (341) receives the data transmitted by the data transmission module (25) and the real-time calculation unit (32), and transmits the received data to the data preprocessing module (342), the data preprocessing module (342) preprocesses the data and generates a high-quality data sample, the calculated data sample is transmitted to the off-line self-testing data calculation module (343), the off-line self-testing data calculation module (343) processes the transmitted data and calculates the data for establishing the control system self-testing off-line model, and transmits the data to the off-line modeling unit (31) through the data real-time transmission module (344), the off-line modeling unit (31) establishes the self-testing off-line model, transmits the established self-testing off-line model to the real-time calculation unit (32), and the real-time calculation unit (32) evaluates the feasibility of the model, when the abnormal data is available, the system operates normally, and when the abnormal data is unavailable, the system transmits the abnormal data to the abnormal data storage unit (35), transmits the abnormal data to the visual display unit (33) through the abnormal data storage unit (35), and displays the abnormal data through the visual display unit (33) to remind an operator.
10. The intelligent self-checking method of the thermal generator set control system according to claim 9, characterized in that: in the step S1, when the data checked by the data checking module (23) exceeds a certain range, information is transmitted to the feedback module (27), the feedback module (27) transmits information to the first-class data acquisition module (21) and the second-class data acquisition module (22), the first-class data acquisition module (21) and the second-class data acquisition module (22) acquire the data of the thermal generator set control system (1) again, and when the data checking module (23) continuously feeds back the data to the feedback module (27) for a while, the feedback module (27) starts to send out a warning.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115857575A (en) * 2021-09-24 2023-03-28 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium
CN115875091A (en) * 2021-09-26 2023-03-31 国能智深控制技术有限公司 Method and device for monitoring flow characteristics of turbine valve and readable storage medium
CN117150417A (en) * 2023-10-30 2023-12-01 国网山东省电力公司菏泽供电公司 Off-line type detection system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107067076A (en) * 2017-05-27 2017-08-18 重庆大学 A kind of passenger flow forecasting based on time lag NARX neutral nets
US20180005112A1 (en) * 2016-06-30 2018-01-04 Microsoft Technology Licensing, Llc Artificial neural network with side input for language modelling and prediction
CN109472088A (en) * 2018-11-12 2019-03-15 重庆科技学院 A kind of shale controlled atmosphere production well production Pressure behaviour prediction technique
CN109751173A (en) * 2019-01-16 2019-05-14 哈尔滨理工大学 Hydraulic turbine operation method for diagnosing faults based on probabilistic neural network
CN111596643A (en) * 2020-05-09 2020-08-28 中船重工信息科技有限公司 Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data
CN111639070A (en) * 2020-07-09 2020-09-08 广东科瑞德电气科技有限公司 Redundant data screening, measuring and controlling method and device using same
CN112558467A (en) * 2020-11-10 2021-03-26 北京京能科技有限公司 Method for identifying thermal power generating unit coordination control model based on output error recursion

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180005112A1 (en) * 2016-06-30 2018-01-04 Microsoft Technology Licensing, Llc Artificial neural network with side input for language modelling and prediction
CN107067076A (en) * 2017-05-27 2017-08-18 重庆大学 A kind of passenger flow forecasting based on time lag NARX neutral nets
CN109472088A (en) * 2018-11-12 2019-03-15 重庆科技学院 A kind of shale controlled atmosphere production well production Pressure behaviour prediction technique
CN109751173A (en) * 2019-01-16 2019-05-14 哈尔滨理工大学 Hydraulic turbine operation method for diagnosing faults based on probabilistic neural network
CN111596643A (en) * 2020-05-09 2020-08-28 中船重工信息科技有限公司 Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data
CN111639070A (en) * 2020-07-09 2020-09-08 广东科瑞德电气科技有限公司 Redundant data screening, measuring and controlling method and device using same
CN112558467A (en) * 2020-11-10 2021-03-26 北京京能科技有限公司 Method for identifying thermal power generating unit coordination control model based on output error recursion

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王立德;李欣然;李培强;陈辉华;宋军英;: "基于人工神经网络的综合负荷模型", 电网技术, no. 16 *
郭谆钦;: "基于BP神经网络的电火花线切割加工参数优化研究", 新技术新工艺, no. 11 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115857575A (en) * 2021-09-24 2023-03-28 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium
CN115857575B (en) * 2021-09-24 2024-04-09 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium
CN115875091A (en) * 2021-09-26 2023-03-31 国能智深控制技术有限公司 Method and device for monitoring flow characteristics of turbine valve and readable storage medium
CN115875091B (en) * 2021-09-26 2024-01-09 国能智深控制技术有限公司 Method and device for monitoring flow characteristics of steam turbine valve and readable storage medium
CN117150417A (en) * 2023-10-30 2023-12-01 国网山东省电力公司菏泽供电公司 Off-line type detection system
CN117150417B (en) * 2023-10-30 2024-02-02 国网山东省电力公司菏泽供电公司 Off-line type detection system

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