CN116088398A - Be used for wisdom prison dish alarm system of thermal power plant - Google Patents

Be used for wisdom prison dish alarm system of thermal power plant Download PDF

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CN116088398A
CN116088398A CN202310371640.2A CN202310371640A CN116088398A CN 116088398 A CN116088398 A CN 116088398A CN 202310371640 A CN202310371640 A CN 202310371640A CN 116088398 A CN116088398 A CN 116088398A
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equipment
maintenance
module
position information
unit
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王曦
王浩
杜绍茂
陈跃第
李晶
郑强
刘彪
罗东辉
王斌
梁远国
秦兵
袁多亮
田小兵
秦川
曲明
陶正芸
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Southwest Electric Power Design Institute Co Ltd of China Power Engineering Consulting Group
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Southwest Electric Power Design Institute Co Ltd of China Power Engineering Consulting Group
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    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428Safety, monitoring
    • 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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Abstract

The invention discloses an intelligent monitoring alarm system for a thermal power plant, which relates to the technical field of thermal power plants, wherein a detection unit is used for detecting the running state of equipment and establishing an equipment running state data set; the method comprises the steps of sending a device running state data set to a first processing unit, correlating the device running state data set to form a corresponding state running coefficient Zy, judging whether the running state of the device meets the expectation or not, enabling a positioning unit to position the corresponding device, and determining a maintenance sequence by combining position information through a sequencing unit; the self-checking unit performs self-checking on the equipment and determines the current fault characteristics of the equipment; and sending the fault characteristics to the second processing unit, outputting a maintenance scheme and executing the maintenance scheme by the third processing unit, and sending an alarm to the monitoring center if the operation state of the maintained equipment is not improved. After the equipment completes the self-checking process, a corresponding scheme is determined according to the self-checking result, and when in maintenance, maintenance personnel rapidly maintain the equipment according to the corresponding scheme, so that the detection steps are reduced.

Description

Be used for wisdom prison dish alarm system of thermal power plant
Technical Field
The invention relates to the technical field of thermal power plants, in particular to an intelligent monitoring alarm system for a thermal power plant.
Background
The thermal power plant is a plant for producing electric energy by using combustible matters (such as coal) as fuel, and the basic production process is as follows: the fuel heats water to generate steam when being combusted, chemical energy of the fuel is converted into heat energy, steam pressure pushes the steam turbine to rotate, the heat energy is converted into mechanical energy, and then the steam turbine drives the generator to rotate, so that the mechanical energy is converted into electric energy.
With the gradual deepening of computer technology, the monitoring alarm system applied to the thermal power plant is also gradually intelligent and intelligentized, and the degree of artificial participation is gradually reduced.
However, when the existing monitoring disc system monitors equipment in the power plant, if some equipment in the power plant is damaged, after the position of the damaged equipment is determined, maintenance personnel can be assigned to maintain the equipment before, but once the damaged equipment is more, the equipment is maintained again at the moment, the equipment is disordered, and the maintenance efficiency is reduced.
Therefore, the intelligent monitoring alarm system for the thermal power plant is provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an intelligent monitoring disc alarm system for a thermal power plant, which is used for establishing an equipment operation state data set by detecting the operation state of equipment by a detection unit; the method comprises the steps of sending a device running state data set to a first processing unit, correlating the device running state data set to form a corresponding state running coefficient Zy, judging whether the running state of the device meets the expectation or not, enabling a positioning unit to position the corresponding device, and determining a maintenance sequence by combining position information through a sequencing unit; the self-checking unit performs self-checking on the equipment and determines the current fault characteristics of the equipment; and sending the fault characteristics to the second processing unit, outputting a maintenance scheme and executing the maintenance scheme by the third processing unit, and sending an alarm to the monitoring center if the operation state of the maintained equipment is not improved. After the equipment completes the self-checking process, a corresponding scheme is determined according to the self-checking result, and when in maintenance, maintenance personnel can rapidly maintain the equipment according to the corresponding scheme, so that detection steps are reduced, and the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent monitoring alarm system for a thermal power plant comprises a detection unit, a first processing unit, a control unit, a sequencing unit, a positioning unit, a self-checking unit, a second processing unit and a third processing unit, wherein a distribution model of power plant equipment is built according to equipment distribution in the thermal power plant, and equipment information and the running state of the equipment information are marked in the distribution model; the detection unit is used for detecting the running state of the equipment and establishing an equipment running state data set; transmitting the equipment operation state data set to a first processing unit, correlating to form a corresponding state operation coefficient Zy, judging whether the operation state of the equipment meets the expectation according to the distribution of the state operation coefficient Zy, if not, forming a control instruction by a control unit to enable a positioning unit to position the corresponding equipment and outputting position information,
when the equipment needs to be maintained, determining a maintenance sequence by combining the position information by the sequencing unit; according to the maintenance sequence, maintenance personnel carry out maintenance, or the self-checking unit carries out self-checking on the equipment in sequence, and the current fault characteristics of the equipment are determined; and sending the fault characteristics to the second processing unit, outputting a maintenance scheme and executing the maintenance scheme by the third processing unit, and sending an alarm to the monitoring center if the operation state of the maintained equipment is not improved.
Further, the detection unit comprises a fatigue degree detection module, a working time length detection module and a temperature detection module, wherein when the equipment is in a long-term working state, the fatigue degree detection module detects and evaluates the fatigue degree of the equipment to form a fatigue degree PL; when the fatigue PL exceeds a corresponding threshold value, the continuous working time CT of the equipment is obtained by a working time detection module;
detecting the working power of equipment, judging whether the equipment continuously works in overload by a system, if the overload situation exists, detecting the working temperature of the equipment, and determining the working temperature GT; the fatigue degree PL, the continuous operation time CT and the operation temperature GT are summarized, and an equipment operation state data set is established.
Further, the first processing unit comprises an evaluation module, a judging module and an analyzing module; after the equipment running state data set is sent to an evaluation module, the evaluation module acquires the summarized fatigue degree PL, the continuous working time CT and the working temperature GT to carry out dimensionless treatment, and then the state running coefficients Zy are formed in a correlation mode; the method for forming the state operation coefficient Zy conforms to the following formula:
Figure SMS_1
wherein alpha and beta are parameters of changeable constants,
Figure SMS_2
,/>
Figure SMS_3
the user can adjust according to the actual situation.
Further, the formed state operation coefficient Zy is sent to a judging module, when the state operation coefficient Zy exceeds a first threshold value, a corresponding alarm is sent out, and a corresponding first position information is formed by a positioning unit; when the state operation coefficient Zy is between the first threshold value and the second threshold value, alarm information is not sent out, and a judgment result is output; wherein the first threshold is higher than the second threshold.
Further, when the value of the state operation coefficient Zy is between the first threshold value and the second threshold value, the analysis module analyzes the data in the equipment operation state data set, and judges the part of the fatigue degree PL, the continuous working time CT and the working temperature GT which is higher than the corresponding threshold value;
determining the part above the threshold as a risk factor, and determining the number of the risk factors; when the number of the dangerous factors of the equipment is higher than the threshold value, the equipment information is output, and a control instruction is formed by the control unit, so that the positioning unit forms second position information according to the corresponding equipment position.
Further, the second position information and the first position information are respectively acquired, the sequencing is performed by the sequencing unit according to the value of the state operation coefficient Zy corresponding to the position information, the sequencing order is determined, the sequencing order is used as the maintenance order, and when the equipment is required to be manually maintained, if maintenance personnel are limited, the maintenance is sequentially performed according to the maintenance order.
Further, the self-checking unit comprises a fault identification module, a fault feature library and a recording module, wherein when the state operation coefficient Zy is between a first threshold value and a second threshold value, the fault identification module scans the equipment in the operation state to judge whether the equipment has an operation fault, and if so, the feature and the corresponding fault position of the operation fault are identified;
after obtaining the fault characteristics, searching and matching according to a pre-constructed fault characteristic library containing known common faults, and determining the cause, type and consequences of the current faults; if unknown fault characteristics exist, the position information of the current equipment is output to form third position information, and the third position information is recorded by the recording module.
Further, the second processing unit comprises a scheme library, a simulation module, an evaluation module and an output module, the type of the current fault and the corresponding fault characteristics output by the fault characteristic library are sent to the scheme library, and the scheme library is used for searching and matching to determine the corresponding response scheme;
according to the equipment information and the running state information, a digital twin model is constructed, a response scheme is obtained by a simulation module and simulated, whether the current response scheme can solve the current fault or not is judged, and a simulation result is formed; the simulation result is sent to an evaluation module, the evaluation module evaluates the simulation result, and if the simulation result shows that the response scheme is feasible, the feasible response scheme is output; and if the simulation result shows that the countermeasure is not feasible, outputting the current fault and outputting the position information of the current equipment to form fourth position information.
Further, the third processing unit comprises a maintenance module and a communication module, when the equipment with the corresponding scheme is more than one, the equipment with the corresponding scheme is marked in the distribution model, and a path planning algorithm is used for path planning, so that a first maintenance path is planned; planning a second maintenance path according to the maintenance sequence; and respectively acquiring third position information and fourth position information, and planning a third maintenance path.
Further, the first maintenance path, the second maintenance path and the third maintenance path are sequentially sent to the maintenance module, the maintenance module preferentially executes the first maintenance path, and then executes the second maintenance path and the third maintenance path; the communication module sequentially maintains the equipment according to the maintenance path and acquires maintenance results, and when the maintenance results are difficult to reach expectations, the communication module gives an alarm to the monitoring center.
(III) beneficial effects
The invention provides an intelligent monitoring alarm system for a thermal power plant, which has the following beneficial effects:
by acquiring a plurality of position information and generating a maintenance sequence, the maintenance sequence can be rapidly determined when a plurality of devices with problems exist, and smooth operation of the devices is ensured. Through the cooperation of the fault identification module, the fault feature library and the recording module, the equipment is subjected to self-checking based on the distribution of state operation coefficient Zy values, and operation faults and corresponding positions possibly existing in the equipment are found and judged, so that the difficulty of subsequent maintenance is reduced, and the maintenance efficiency can be improved when the equipment is maintained.
According to the cooperation among the scheme library, the simulation module, the evaluation module and the output module, after the equipment completes the self-checking process, the corresponding scheme is determined according to the self-checking result, and when maintenance is performed, maintenance personnel can rapidly maintain the equipment according to the corresponding scheme, so that the detection steps are reduced.
According to the formed first maintenance path, second maintenance path and third maintenance path, when equipment maintenance is carried out, not only a corresponding scheme is obtained, but also the maintenance sequence can be determined according to the maintenance difficulty; therefore, when a plurality of devices are maintained, the maintenance priority is determined, so that the maintenance process is orderly carried out, the maintenance efficiency is improved, and the operation of a power plant is guaranteed.
Drawings
FIG. 1 is a schematic diagram of a detection flow of an intelligent monitoring alarm system of the invention;
FIG. 2 is a schematic diagram of the handling flow of the intelligent monitoring alarm system of the present invention.
In the figure:
10. a detection unit; 11. a fatigue degree detection module; 12. the working time length detection module; 13. a temperature detection module;
20. a first processing unit; 21. an evaluation module; 22. a judging module; 23. an analysis module;
30. a control unit; 40. a sorting unit; 50. a positioning unit; 60. a self-checking unit; 61. a fault identification module; 62. a fault feature library; 63. a recording module;
70. a second processing unit; 71. a scheme library; 72. a simulation module; 73. an evaluation module; 74. an output module;
80. a third processing unit; 81. a maintenance module; 82. and a communication module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Referring to fig. 1-2, the present invention provides an intelligent monitoring alarm system for a thermal power plant, which includes a detecting unit 10, a first processing unit 20, a control unit 30, a sorting unit 40, a positioning unit 50, a self-checking unit 60, a second processing unit 70 and a third processing unit 80; according to equipment distribution in a thermal power plant, a distribution model of the power plant equipment is established, and equipment information and the running state thereof are marked in the distribution model; the detection unit 10 detects the running state of the equipment and establishes an equipment running state data set;
the device operation state data set is sent to the first processing unit 20, the corresponding state operation coefficients Zy are formed in a correlated manner, whether the operation state of the device meets the expectations is judged according to the distribution of the state operation coefficients Zy, if not, a control instruction is formed by the control unit 30, the positioning unit 50 is caused to position the corresponding device, and the position information is output,
when maintenance is required for the equipment, the ordering unit 40 determines the maintenance sequence by combining the position information; depending on the maintenance sequence, the maintenance is performed by maintenance personnel, or,
the self-checking unit 60 sequentially performs self-checking on the equipment to determine the current fault characteristics of the equipment; the fault signature is sent to the second processing unit 70, the maintenance schedule is output and executed by the third processing unit 80, and if the operational status of the maintained equipment is not improved, an alarm is sent to the monitoring center.
Referring to fig. 1 and 2, the detecting unit 10 includes a fatigue degree detecting module 11, an operating time detecting module 12, and a temperature detecting module 13, wherein,
when the equipment is in a long-term working state, the fatigue degree of the equipment is detected and evaluated by the fatigue degree detection module 11 to form fatigue degree PL; acquiring, by the duration detection module 12, a duration CT of the device when the fatigue PL exceeds a respective threshold;
detecting the working power of equipment, judging whether the equipment continuously works in overload by a system, if the overload situation exists, detecting the working temperature of the equipment, and determining the working temperature GT;
the fatigue degree PL, the continuous operation time CT and the operation temperature GT are summarized, and an equipment operation state data set is established.
When the device is used, the device running state data set is established based on the cooperation of the fatigue degree detection module 11, the working time length detection module 12 and the temperature detection module 13, and can be used as a basis for judging the device running state.
Referring to fig. 1, the first processing unit 20 includes an evaluation module 21, a judgment module 22, and an analysis module 23; wherein,,
after the equipment operation state data set is sent to the evaluation module 21, the evaluation module 21 acquires the summarized fatigue degree PL, the continuous working time CT and the working temperature GT to carry out dimensionless treatment, and then the state operation coefficients Zy are formed in a correlation mode;
the method for forming the state operation coefficient Zy conforms to the following formula:
Figure SMS_4
wherein alpha and beta are parameters of changeable constants,
Figure SMS_5
,/>
Figure SMS_6
the user can adjust according to the actual situation;
when the system is used, the working state of the equipment can be roughly evaluated according to the formed state operation coefficient Zy, and a user carries out corresponding processing according to an evaluation result.
Referring to fig. 1 to 2, the formed state operation coefficient Zy is sent to the judging module 22, and when the formed state operation coefficient Zy exceeds a first threshold value, a corresponding alarm is issued, and corresponding first position information is formed by the positioning unit 50; when in use, the maintenance personnel are directly selected for processing according to the sent alarm information;
when the state operation coefficient Zy is between the first threshold value and the second threshold value, alarm information is not sent out, and a judgment result is output; wherein the first threshold is higher than the second threshold.
When the system is used, according to the distribution of the state operation coefficient Zy values, corresponding processing can be performed on equipment with poor states in the operation state, for example, maintenance can be selected to be performed on the equipment, the working state of the equipment can be suspended, or the working load of the equipment can be reduced.
Referring to fig. 1, when the value of the state operation coefficient Zy is between the first threshold value and the second threshold value, the analysis module 23 analyzes the data in the equipment operation state data set to determine the portion of the fatigue PL, the continuous operation time CT, and the operation temperature T that is higher than the corresponding threshold value;
determining the part higher than the threshold value as a risk factor, and determining the number of the risk factors; when the number of the risk factors of the device is large, that is, the risk factors are higher than the threshold value, the device information is output, and the control unit 30 forms a control instruction, so that the positioning unit 50 forms second position information according to the corresponding device position.
When the system is used, a certain number of hidden danger point devices can be screened out from a plurality of devices according to the distribution of the state operation coefficients Zy, and the targeted treatment is convenient, so that the service life of the devices is prolonged.
Referring to fig. 1 and 2, the second position information and the first position information are acquired respectively, the sorting unit 40 sorts and determines the sorting order according to the value of the state operation coefficient Zy corresponding to the position information, and when the equipment needs to be manually maintained, if the maintenance personnel is limited, the maintenance is sequentially performed according to the maintenance order.
When the device is used, the maintenance sequence is generated by acquiring a plurality of position information, so that the maintenance sequence can be rapidly determined when a plurality of devices with problems exist, and the smooth operation of the devices is ensured.
Referring to fig. 2, the self-checking unit 60 includes a fault recognition module 61, a fault signature library 62, and a recording module 63, wherein,
when the state operation coefficient Zy is between the first threshold value and the second threshold value, the fault identification module 61 scans the equipment in the operation state to judge whether the equipment has operation faults, if so, the characteristics of the operation faults and the corresponding fault positions are identified;
after the fault characteristics are obtained, searching and matching are carried out according to a pre-constructed fault characteristic library 62 containing known common faults, and then the cause, type and possible consequences of the current faults are determined;
if unknown fault characteristics exist, the position information of the current equipment is output to form third position information, and after the third position information is recorded by the recording module 63, the third position information is manually processed by maintenance personnel.
During use, through the cooperation of the fault identification module 61, the fault feature library 62 and the recording module 63, the equipment is subjected to self-checking based on the distribution of state operation coefficient Zy values, and operation faults and corresponding positions possibly existing in the equipment are found and judged, so that the difficulty of subsequent maintenance is reduced, and the maintenance efficiency can be improved when the equipment is maintained.
Referring to fig. 2, the second processing unit 70 includes a solution library 71, a simulation module 72, an evaluation module 73, and an output module 74, wherein,
the type of the current fault and the corresponding fault characteristics output by the fault characteristic library 62 are sent to the scheme library 71, and the scheme library 71 performs retrieval and matching to determine the corresponding response scheme;
constructing a digital twin model according to the equipment information and the running state information, acquiring a coping scheme by the simulation module 72, simulating, judging whether the current coping scheme can solve the current fault or not, and forming a simulation result; the simulation result is sent to the evaluation module 73, the simulation result is evaluated by the evaluation module 73, and if the simulation result shows that the coping scheme is feasible, the feasible coping scheme is output;
if the simulation result shows that the countermeasure is not feasible, outputting the current fault, outputting the position information of the current equipment to form fourth position information, and manually processing by maintenance personnel.
When the device is used, according to the cooperation among the scheme library 71, the simulation module 72, the evaluation module 73 and the output module 74, after the self-checking process of the device is finished, the corresponding scheme is determined according to the self-checking result, and when maintenance is performed, maintenance staff can rapidly maintain the device according to the corresponding scheme, so that the detection steps are reduced.
Referring to fig. 2, the third processing unit 80 includes a maintenance module 81 and a communication module 82,
when the equipment with the corresponding solution is more than one, marking the equipment with the corresponding solution in a distribution model, and planning a path by a path planning algorithm to plan a first maintenance path; planning a second maintenance path according to the maintenance sequence; respectively acquiring third position information and fourth position information, and planning a third maintenance path;
sequentially transmitting the first maintenance path, the second maintenance path and the third maintenance path to the maintenance module 81, wherein the maintenance module 81 preferentially executes the first maintenance path, and then executes the second maintenance path and the third maintenance path; the communication module 82 sequentially maintains the equipment according to the maintenance path and obtains maintenance results, and when the maintenance results are difficult to reach expectations, the communication module 82 gives an alarm to the monitoring center.
When the device is used, according to the formed first maintenance path, second maintenance path and third maintenance path, when the device is maintained, not only a corresponding scheme is obtained, but also the maintenance sequence can be determined according to the maintenance difficulty; therefore, when a plurality of devices are maintained, the maintenance priority is determined, so that the maintenance process is orderly carried out, the maintenance efficiency is improved, and the operation of a power plant is guaranteed.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a division of some logic functions, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.

Claims (10)

1. Be used for wisdom prison dish alarm system of thermal power plant, its characterized in that: the method comprises a detection unit (10), a first processing unit (20), a control unit (30), a sequencing unit (40), a positioning unit (50), a self-checking unit (60), a second processing unit (70) and a third processing unit (80), wherein a distribution model of power plant equipment is built according to equipment distribution in a thermal power plant, and equipment information and the running state of the equipment are marked in the distribution model; detecting the running state of the equipment by a detection unit (10) and establishing an equipment running state data set;
transmitting the device operation state data set to a first processing unit (20), correlating to form corresponding state operation coefficients Zy, judging whether the operation state of the device meets the expectation according to the distribution of the state operation coefficients Zy, if not, forming a control instruction by a control unit (30), enabling a positioning unit (50) to position the corresponding device and outputting position information,
when the equipment needs to be maintained, determining a maintenance sequence by combining the position information by the sequencing unit (40); depending on the maintenance sequence, the maintenance is performed by maintenance personnel, or,
the self-checking unit (60) carries out self-checking on the equipment in sequence to determine the current fault characteristics of the equipment; the fault signature is sent to the second processing unit (70), the maintenance scheme is output and executed by the third processing unit (80), and if the maintained equipment operating state is not improved, an alarm is sent to the monitoring center.
2. An intelligent monitoring alarm system for a thermal power plant according to claim 1, wherein:
the detection unit (10) comprises a fatigue degree detection module (11), a working time length detection module (12) and a temperature detection module (13), wherein when the equipment is in a long-term working state, the fatigue degree of the equipment is detected and evaluated by the fatigue degree detection module (11), and the fatigue degree PL is formed; acquiring, by the duration detection module (12), a duration CT of the device when the fatigue PL exceeds a corresponding threshold;
detecting the working power of equipment, judging whether the equipment continuously works in overload by a system, if the overload situation exists, detecting the working temperature of the equipment, and determining the working temperature GT; the fatigue degree PL, the continuous operation time CT and the operation temperature GT are summarized, and an equipment operation state data set is established.
3. An intelligent monitoring alarm system for a thermal power plant according to claim 1, wherein:
the first processing unit (20) comprises an evaluation module (21), a judging module (22) and an analyzing module (23); wherein,,
after the equipment operation state data set is sent to the evaluation module (21), the evaluation module (21) acquires the summarized fatigue degree PL, the continuous working time CT and the working temperature GT and performs dimensionless treatment, and then the state operation coefficients Zy are formed in a correlation mode; the method for forming the state operation coefficient Zy conforms to the following formula:
Figure QLYQS_1
wherein alpha and beta are parameters of changeable constants,
Figure QLYQS_2
,/>
Figure QLYQS_3
4. a smart monitoring alarm system for a thermal power plant according to claim 3, wherein:
the formed state operation coefficient Zy is sent to a judging module (22), when the state operation coefficient Zy exceeds a first threshold value, a corresponding alarm is sent out, and a corresponding first position information is formed by a positioning unit (50); when the state operation coefficient Zy is between the first threshold value and the second threshold value, alarm information is not sent out, and a judgment result is output; wherein the first threshold is higher than the second threshold.
5. An intelligent monitoring alarm system for a thermal power plant according to claim 4, wherein:
when the value of the state operation coefficient Zy is between the first threshold value and the second threshold value, the analysis module (23) analyzes the data in the equipment operation state data set, and judges the part of the fatigue degree PL, the continuous working time CT and the working temperature GT which is higher than the corresponding threshold value;
determining the parts above the corresponding threshold values as risk factors, and determining the number of the risk factors; when the number of the dangerous factors of the equipment is higher than the threshold value, the equipment information is output, and a control instruction is formed by the control unit (30), so that the positioning unit (50) forms second position information according to the corresponding equipment position.
6. An intelligent monitoring alarm system for a thermal power plant according to claim 5, wherein:
and respectively acquiring the second position information and the first position information, sequencing by a sequencing unit (40) according to the value of the state operation coefficient Zy corresponding to the position information, determining a sequencing order, taking the sequencing order as a maintenance order, and if the maintenance personnel are limited when the equipment is required to be manually maintained, sequentially maintaining according to the maintenance order.
7. An intelligent monitoring alarm system for a thermal power plant according to claim 5, wherein:
the self-checking unit (60) comprises a fault identification module (61), a fault characteristic library (62) and a recording module (63), wherein,
when the state operation coefficient Zy is between the first threshold value and the second threshold value, the fault identification module (61) scans the equipment in the operation state to judge whether the equipment has operation faults, if so, the characteristics of the operation faults and the corresponding fault positions are identified;
after the fault characteristics are obtained, searching and matching are carried out according to a pre-constructed fault characteristic library (62) containing known common faults, and then the cause, the type and the consequences of the current faults are determined; if unknown fault characteristics exist, the position information of the current equipment is output to form third position information, and the third position information is recorded by a recording module (63).
8. The intelligent monitoring alarm system for a thermal power plant according to claim 7, wherein:
the second processing unit (70) comprises a scheme library (71), an analog module (72), an evaluation module (73) and an output module (74),
the type of the current fault and the corresponding fault characteristics output by the fault characteristic library (62) are sent to a scheme library (71), and the scheme library (71) is used for searching and matching to determine the corresponding response scheme;
according to the equipment information and the running state information, a digital twin model is constructed, a corresponding solution is obtained by an analog module (72) and is simulated, whether the current corresponding solution can solve the current fault or not is judged, and a simulation result is formed; the simulation result is sent to an evaluation module (73), the evaluation module (73) evaluates the simulation result,
outputting the feasible coping schemes if the simulation result shows that the coping schemes are feasible; and if the simulation result shows that the countermeasure is not feasible, outputting the current fault and outputting the position information of the current equipment to form fourth position information.
9. The intelligent monitoring alarm system for a thermal power plant according to claim 8, wherein:
the third processing unit (80) comprises a maintenance module (81) and a communication module (82), when the equipment with the corresponding scheme is more than one, the equipment with the corresponding scheme is marked in the distribution model, and a path planning algorithm is used for path planning to plan a first maintenance path; planning a second maintenance path according to the maintenance sequence; and respectively acquiring third position information and fourth position information, and planning a third maintenance path.
10. The intelligent monitoring alarm system for a thermal power plant according to claim 9, wherein:
sequentially transmitting the first maintenance path, the second maintenance path and the third maintenance path to a maintenance module (81), preferentially executing the first maintenance path by the maintenance module (81), and then executing the second maintenance path and the third maintenance path; the communication module (82) sequentially maintains the equipment according to the maintenance path and acquires maintenance results, and when the maintenance results are difficult to reach expectations, the communication module (82) gives an alarm to the monitoring center.
CN202310371640.2A 2023-04-10 2023-04-10 Be used for wisdom prison dish alarm system of thermal power plant Pending CN116088398A (en)

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