CN116105885A - State monitoring method and system for electrical equipment for nuclear power - Google Patents
State monitoring method and system for electrical equipment for nuclear power Download PDFInfo
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- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
- G01K7/16—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements
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Abstract
The present disclosure provides a method and a system for monitoring a state of electrical equipment for nuclear power, and relates to the technical field of equipment monitoring, wherein the method comprises: acquiring equipment basic information of electrical equipment; obtaining historical fault information of the electrical equipment, and generating layout information of a temperature monitoring unit; distributing the temperature monitoring units and constructing associated temperature monitoring data; acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result; obtaining a mode acquisition result; obtaining a heartbeat data acquisition result; generating first state monitoring data; generating second state monitoring data; the first state monitoring data and the second state monitoring data are used for generating the state monitoring result of the electrical equipment, so that the technical problem that the accuracy of state monitoring of the electrical equipment is insufficient due to the fact that the operation data of the electrical equipment are not monitored from multiple aspects in the prior art is solved.
Description
Technical Field
The disclosure relates to the technical field of equipment monitoring, in particular to a method and a system for monitoring the state of electrical equipment for nuclear power.
Background
Because of the specificity of the nuclear power station, once a safety accident occurs, a large loss is caused, and the human body and the surrounding environment are greatly influenced, so that the monitoring of the equipment state is particularly important in the operation process of the nuclear power station, and the real-time monitoring of various equipment states of the nuclear power station in the first time is needed to carry out pre-alarm information.
At present, the prior art has the technical problem that the state monitoring of the electrical equipment is not enough due to the fact that the operation data of the electrical equipment are not monitored from multiple aspects.
Disclosure of Invention
The disclosure provides a state monitoring method and system for electrical equipment for nuclear power, which are used for solving the technical problem that the state monitoring accuracy of the electrical equipment is insufficient due to the fact that the operation data of the electrical equipment is not monitored from multiple aspects in the prior art.
According to a first aspect of the present disclosure, there is provided a method for monitoring a state of an electrical device for nuclear power, including: acquiring equipment basic information of electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information; acquiring historical fault information of the electrical equipment, and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information; distributing the temperature monitoring units through the distribution information, and constructing associated temperature monitoring data based on the distribution information; acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result; collecting the equipment working modes of the electrical equipment to obtain a mode collecting result; the data interaction unit is used for acquiring heartbeat data of the electrical equipment to obtain a heartbeat data acquisition result; performing operation state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data; comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data; and generating an electrical equipment state monitoring result through the first state monitoring data and the second state monitoring data.
According to a second aspect of the present disclosure, there is provided a state monitoring system for electrical equipment for nuclear power, comprising: the basic information acquisition module is used for acquiring equipment basic information of the electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information; the historical fault information acquisition module is used for acquiring historical fault information of the electrical equipment and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information; the associated temperature monitoring data construction module is used for laying out the temperature monitoring units through the layout information and constructing associated temperature monitoring data based on the layout information; the temperature data acquisition module is used for acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result; the equipment working mode acquisition module is used for acquiring the equipment working mode of the electrical equipment to obtain a mode acquisition result; the heartbeat data acquisition module is used for acquiring heartbeat data of the electrical equipment through the data interaction unit to obtain a heartbeat data acquisition result; the running state evaluation module is used for performing running state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data; the temperature comparison module is used for comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data; and the electrical equipment state monitoring module is used for generating an electrical equipment state monitoring result according to the first state monitoring data and the second state monitoring data.
According to a third aspect of the present disclosure, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
According to the state monitoring method of the electrical equipment for nuclear power, equipment basic information of the electrical equipment is acquired and obtained, wherein the equipment basic information comprises equipment size information and equipment structure information; acquiring historical fault information of the electrical equipment, and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information; distributing the temperature monitoring units through the distribution information, and constructing associated temperature monitoring data based on the distribution information; acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result; collecting the equipment working modes of the electrical equipment to obtain a mode collecting result; the data interaction unit is used for acquiring heartbeat data of the electrical equipment to obtain a heartbeat data acquisition result; performing operation state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data; comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data; and generating an electrical equipment state monitoring result through the first state monitoring data and the second state monitoring data. According to the method, the temperature data and the output high-low level data in the operation process of the electrical equipment are monitored, the data monitoring results are compared and analyzed by the set standard monitoring data, so that the state of the electrical equipment is monitored, the state of the electrical equipment is accurately monitored in multiple aspects, and the technical effect of early warning and overhauling in time is achieved according to the state monitoring results of the electrical equipment.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings that are required to be used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are merely illustrative and that other drawings may be obtained, without inventive effort, by a person skilled in the art from the drawings provided.
Fig. 1 is a schematic flow chart of a method for monitoring a state of electrical equipment for nuclear power according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first status monitoring data generation process according to an embodiment of the present invention;
FIG. 3 is a flowchart of obtaining second status monitoring data according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a state monitoring system for electrical equipment for nuclear power according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Reference numerals illustrate: the system comprises a basic information acquisition module 11, a historical fault information acquisition module 12, a related temperature monitoring data construction module 13, a temperature data acquisition module 14, a device working mode acquisition module 15, a heartbeat data acquisition module 16, an operation state evaluation module 17, a temperature comparison module 18, an electrical device state monitoring module 19, an electronic device 800, a processor 801, a memory 802 and a bus 803.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the technical problem that the accuracy of monitoring the state of the electrical equipment is insufficient due to the fact that the operation data of the electrical equipment is not monitored from multiple aspects in the prior art, the inventor of the present disclosure obtains the state monitoring method and system of the electrical equipment for nuclear power through creative labor.
Example 1
Fig. 1 is a diagram of a method for monitoring a state of an electrical device for nuclear power, where the method is applied to a state monitoring system of the electrical device, and the state monitoring system of the electrical device is communicatively connected with a temperature monitoring unit and a data interaction unit, as shown in fig. 1, and the method includes:
step S100: acquiring equipment basic information of electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information;
specifically, the embodiment of the application provides a state monitoring method of electrical equipment for nuclear power, which is applied to a state monitoring system of the electrical equipment, wherein the state monitoring system of the electrical equipment is a system platform for monitoring the running state of the electrical equipment for nuclear power, specifically, equipment basic information of the electrical equipment is acquired and obtained, the electrical equipment is equipment needing to be subjected to state monitoring, the equipment basic information comprises equipment size information and equipment structure information, the equipment size information refers to the size of the electrical equipment, the equipment structure information refers to the internal composition of the electrical equipment, and the equipment structure information comprises equipment cabinet switches, fan power supplies, controller boards, IO boards and other structures by taking a nuclear power instrument control system cabinet as an example. And providing basic data for subsequent equipment state monitoring by acquiring equipment basic information of the electrical equipment.
Step S200: acquiring historical fault information of the electrical equipment, and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information;
specifically, the historical fault information refers to fault information of the electrical equipment in a past period of time, including fault time and fault position, layout information of a temperature monitoring unit is generated through the historical fault information and equipment basic information, the temperature monitoring unit refers to an element for monitoring the temperature of the electrical equipment, generally refers to a thermal resistance temperature measuring element, the thermal resistance signal can be converted into a temperature value through a digital signal processing technology, the layout information of the temperature monitoring unit comprises the layout position and the layout number of the temperature monitoring unit, in short, the number of times of judging which positions have faults in the past is higher according to the historical fault information, the positions are considered to be easy to generate faults, the temperature monitoring unit is arranged at the structure position easy to generate faults according to the size and the equipment basic information, and the layout number of the temperature monitoring unit is determined according to the size.
Step S300: distributing the temperature monitoring units through the distribution information, and constructing associated temperature monitoring data based on the distribution information;
specifically, the layout information includes layout positions and layout numbers of the temperature monitoring units, the temperature monitoring units are laid to corresponding positions according to the layout information, relevant temperature monitoring data are built based on the layout information, the relevant temperature monitoring data refer to standard temperature monitoring data corresponding to each temperature monitoring unit, in short, when the equipment normally operates, each position of the equipment has standard operation temperature, the layout positions of the temperature monitoring units are obtained according to the layout information, and the standard operation temperature corresponding to the layout positions of each temperature monitoring unit is determined, namely the relevant temperature monitoring data.
Step S400: acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result;
specifically, the temperature data is collected through the distributed temperature monitoring units, the distributed temperature monitoring units are generally thermal resistance temperature measuring elements, thermal resistance signals can be converted into temperature values through a digital signal processing technology, the collected temperature precision is high, so that the temperature data is collected, a data collection result is obtained, and the data collection result is the temperature data collected by each temperature monitoring unit.
Step S500: collecting the equipment working modes of the electrical equipment to obtain a mode collecting result;
specifically, the device working mode of the electrical device in operation is collected, that is, the electrical device has multiple working modes, corresponding device operation data in different working modes are different, the working mode of the device in operation is required to be collected, a mode collection result is obtained, namely, the working mode of the device in operation is obtained, and the device working mode is collected, so that the accurate analysis of the device state is facilitated.
Step S600: the data interaction unit is used for acquiring heartbeat data of the electrical equipment to obtain a heartbeat data acquisition result;
specifically, the data interaction unit is in communication connection with the electrical equipment state monitoring system, can read data in the electrical equipment state monitoring system, can also transmit the data to the electrical equipment state monitoring system, realizes interactive transmission of the data, performs heartbeat data acquisition on the electrical equipment through the data interaction unit, and the heartbeat data refer to frequencies and intervals of high-low level signals output when the electrical equipment operates, including high-low level duration time, so that a heartbeat data acquisition result is obtained, and data support is provided for state monitoring of the electrical equipment.
Step S700: performing operation state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data;
as shown in fig. 2, step S700 in the embodiment of the present application further includes:
step S710: constructing a mapping interval of the mode and the heartbeat through standard data;
step S720: performing equipment analysis on the electrical equipment to generate equipment analysis results;
step S730: performing interval adjustment on the mapping interval through the equipment analysis result to generate a mode heartbeat mapping interval of the electrical equipment;
step S740: matching the pattern heartbeat mapping interval through the pattern acquisition result to obtain a supervision heartbeat interval;
step S750: and generating the first state monitoring data according to the supervision heartbeat interval and the heartbeat data acquisition result.
Step S750 in this embodiment of the present application further includes:
step S751: judging whether the heartbeat data acquisition results are all in the range of the supervision heartbeat interval;
step S752: when the heartbeat data acquisition result has a result which is not in the range of the supervision heartbeat interval, matching a first weight;
step S753: acquiring a first state abnormal value according to the heartbeat data deviation value and the first weight;
step S754: the first state monitoring data is obtained based on the first state anomaly value.
Step S760 in this embodiment of the present application further includes:
step S761: when the heartbeat data acquisition results are all in the range of the supervision heartbeat interval, matching a second weight;
step S762: performing stability analysis on the heartbeat data acquisition result to obtain a stability analysis result;
step S763: calculating to obtain a second state abnormal value according to the stability analysis result and the second weight;
step S764: and obtaining the first state monitoring data through the second state abnormal value.
Specifically, the operation state evaluation is performed according to the heartbeat data acquisition result and the mode acquisition result, and first state monitoring data is generated, wherein the first state monitoring data is a state evaluation result of the electrical equipment through the heartbeat data acquisition result.
Specifically, each equipment working mode has corresponding standard heartbeat data, based on the standard heartbeat data, a mapping interval of modes and heartbeats is constructed through the standard heartbeat data, the standard heartbeat data is standard heartbeat data in various working modes, the mapping interval is a heartbeat range corresponding to different working modes, namely duration of high and low levels, further, equipment analysis is carried out on the electrical equipment, duration of high and low levels when the equipment is operated is analyzed, equipment analysis results are the duration of high and low levels when the equipment is operated, interval adjustment is carried out on the mapping interval according to the equipment analysis results, a mode heartbeat mapping interval of the electrical equipment is generated, namely the heartbeat range is corrected and adjusted according to the equipment analysis results, namely the heartbeat range corresponding to different working modes of the electrical equipment is obtained, the mode heartbeat mapping interval is matched with the mode heartbeat mapping interval through a mode acquisition result, the corresponding mode heartbeat mapping interval is determined according to the mode acquisition result, the corresponding heartbeat mapping interval is used as the heartbeat monitoring result, the monitoring result is compared with the first monitoring result, the monitoring result is obtained through the first monitoring result, the monitoring result is compared with the low monitoring result, and the monitoring result is obtained, and the monitoring result is compared with the first monitoring result, and the monitoring result is obtained, and the monitoring result is the first monitoring result is obtained.
Specifically, comparing the monitoring heartbeat interval with the heartbeat data acquisition results, judging whether the heartbeat data acquisition results are in the monitoring heartbeat interval range, wherein the heartbeat data acquisition results comprise a plurality of heartbeat data, if any one of the heartbeat data acquisition results is not in the monitoring heartbeat interval range, matching a first weight, wherein the first weight refers to the importance degree of the heartbeat data acquisition results on equipment state evaluation when the heartbeat data acquisition results deviate from the monitoring heartbeat interval range, the heartbeat data deviation value refers to the magnitude of the heartbeat data acquisition results deviating from the monitoring heartbeat interval range, namely the numerical value exceeding the monitoring heartbeat interval range, the first state abnormal value is obtained according to the heartbeat data deviation value and the first weight, the first state abnormal value refers to the state abnormal index of the electrical equipment under the current condition, the state abnormal degree of the electrical equipment is represented, and the first state monitoring data is obtained according to the first state abnormal value.
Specifically, if the heartbeat data acquisition results are in the supervision heartbeat interval range, matching a second weight, wherein the second weight refers to the importance degree of the stability of the heartbeat data to the state evaluation of the equipment when the heartbeat data acquisition results are in the supervision heartbeat interval range, performing stability analysis on the heartbeat data acquisition results, namely analyzing whether the change condition of the heartbeat data acquisition results is stable or not or whether the change condition of the heartbeat data acquisition results is suddenly high or not, wherein the stability analysis result refers to the change condition of the heartbeat data acquisition results, further obtaining a second state abnormal value according to the stability analysis result and the second weight, wherein the second state abnormal value refers to the state abnormal index of the electrical equipment under the current condition, and represents the state abnormal degree of the electrical equipment, and obtaining the first state monitoring data through the second state abnormal value. By analyzing the heartbeat data acquisition results under different conditions, the effect of acquiring state monitoring data according to different conditions and ensuring the state monitoring accuracy is achieved.
Step S800: comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data;
as shown in fig. 3, step S800 in the embodiment of the present application further includes:
step S810: generating mode temperature monitoring data according to the mode acquisition result and the associated temperature monitoring data;
step S820: carrying out data analysis on the data acquisition result to generate extreme value data, average value data and median data;
step S830: and comparing and analyzing the extreme value data, the average value data and the median data through the mode temperature monitoring data, and obtaining the second state monitoring data according to comparison and analysis results.
Step S830 in this embodiment of the present application further includes:
step S831: constructing a standard temperature hierarchy based on the pattern temperature monitoring data;
step S832: setting a detection time window;
step S833: judging whether temperature grade transition exists in the detection time window in the data acquisition result;
step S834: and when the temperature grade transition exists, acquiring the second state monitoring data according to the transition grade and the transition time.
Specifically, the mode acquisition result and the associated temperature monitoring data are used for comparing the temperature of the data acquisition result, and second state monitoring data are generated.
Specifically, mode temperature monitoring data are generated through a mode acquisition result and associated temperature monitoring data, the mode acquisition result refers to a current working mode of the device, the associated temperature monitoring data are standard temperature monitoring data corresponding to different positions of the device, based on the mode acquisition result, standard temperature monitoring data in the current working mode are generated, namely the mode temperature monitoring data, the mode temperature monitoring data are normal temperature data when the device operates in the current working mode, further, data analysis is carried out on the data acquisition result, the data acquisition result is temperature data acquired by a temperature monitoring unit, extreme value data, average value data and median data of the data acquisition result are acquired, the extreme value data are maximum value and minimum value in the data acquisition result, the average value data refer to average value data of all data in the data acquisition result, the median data refer to data in the middle, the comparison of the extreme value data, the average value data and the median data is carried out on the comparison of the normal temperature data when the device operates in the current working mode, the data are compared with the median data, the second data is carried out on the second data according to the difference of the mode temperature monitoring result, and the electrical state monitoring result is obtained, and the electrical state monitoring device is obtained.
Specifically, a standard temperature level is built according to mode temperature monitoring data, in short, the mode temperature monitoring data is identified in a grading manner according to the temperature, a temperature range corresponds to one level, then a detection time window is set, the detection time window refers to a detection time period, whether temperature level transition exists in the detection time window in a data acquisition result or not is judged, whether the detection time window in the data acquisition result accords with the standard temperature level or not is judged, if the temperature level transition does not accord with the standard temperature level, the temperature change spans a plurality of levels, for example, the value of temperature rise is too high, multi-level temperature transition is caused, when the temperature level transition exists, second state monitoring data are obtained according to the transition level and the transition time, the transition time refers to the time of the temperature transition, the second state monitoring data are obtained based on the detection time window, the second state monitoring data refer to the monitoring data of the equipment temperature, and therefore the effect of equipment state monitoring according to the equipment temperature change is achieved.
Step S900: and generating an electrical equipment state monitoring result through the first state monitoring data and the second state monitoring data.
Specifically, the first state monitoring data are obtained by monitoring heartbeat data of the electrical equipment, the second state monitoring data are obtained by monitoring temperature data of the equipment, and the first state monitoring data and the second state monitoring data are combined to generate a state monitoring result of the electrical equipment, wherein the state monitoring result of the electrical equipment is a state evaluation result of the electrical equipment, so that state monitoring of the electrical equipment from multiple aspects is realized, and the effect of ensuring accuracy of the monitoring result is achieved.
The step S1000 in this embodiment of the present application further includes:
step S1010: matching early warning grade data according to the state monitoring result of the electrical equipment;
step S1020: performing abnormal early warning according to the early warning grade data, and setting a response early warning interval;
step S1030: and monitoring and managing maintenance feedback based on the response early warning interval.
Specifically, different electrical equipment state monitoring results are set, different early warning grades are set, the higher the early warning grade is, the higher the operation abnormality degree of the state monitoring result display equipment of the electrical equipment is, the early warning grade data is matched according to the electrical equipment state monitoring results, the abnormal early warning is carried out through the early warning grade data, a response early warning section is set, the response early warning section refers to a position section where abnormal data in the electrical equipment state monitoring results occur, accordingly monitoring and management of maintenance feedback are carried out according to the response early warning section, for example, workers are arranged to carry out maintenance of corresponding positions, the monitoring and management are carried out on maintenance conditions, and the effect of timely maintenance according to the electrical equipment state monitoring results is achieved.
Based on the above analysis, the disclosure provides a method for monitoring the state of electrical equipment for nuclear power, in this embodiment, by monitoring temperature data and output high-low level data in the operation process of the electrical equipment, setting standard monitoring data to compare and analyze the data monitoring result, thereby monitoring the state of the electrical equipment, achieving the technical effects of monitoring the data of the electrical equipment in multiple aspects, accurately monitoring the state of the electrical equipment, and performing early warning maintenance in time according to the state monitoring result of the electrical equipment.
Example two
Based on the same inventive concept as the method for monitoring the state of the electrical equipment for nuclear power in the foregoing embodiment, as shown in fig. 4, the present application further provides a system for monitoring the state of the electrical equipment for nuclear power, where the system is communicatively connected with a temperature monitoring unit and a data interaction unit, and the system includes:
the basic information acquisition module 11 is used for acquiring equipment basic information of the electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information;
a historical fault information acquisition module 12, wherein the historical fault information acquisition module 12 is used for acquiring historical fault information of the electrical equipment, and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information;
the associated temperature monitoring data construction module 13 is used for laying out the temperature monitoring units through the layout information, and constructing associated temperature monitoring data based on the layout information;
the temperature data acquisition module 14 is used for acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result;
the device working mode acquisition module 15 is used for acquiring the device working mode of the electrical device, and acquiring a mode acquisition result;
the heartbeat data acquisition module 16 is used for acquiring heartbeat data of the electrical equipment through the data interaction unit, so as to obtain a heartbeat data acquisition result;
the running state evaluation module 17 is used for performing running state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data;
the temperature comparison module 18 is configured to perform temperature comparison on the data acquisition result through the mode acquisition result and the associated temperature monitoring data, so as to generate second state monitoring data;
the electrical equipment state monitoring module 19, the electrical equipment state monitoring module 19 is configured to generate an electrical equipment state monitoring result according to the first state monitoring data and the second state monitoring data.
Further, the system further comprises:
the mapping interval construction module is used for constructing a mapping interval of a mode and heartbeat through standard data;
the equipment analysis module is used for carrying out equipment analysis on the electrical equipment and generating equipment analysis results;
the interval adjustment module is used for performing interval adjustment on the mapping interval according to the equipment analysis result to generate a pattern heartbeat mapping interval of the electrical equipment;
the interval matching module is used for matching the pattern heartbeat mapping interval through the pattern acquisition result to obtain a supervision heartbeat interval;
the first state monitoring data generation module is used for generating the first state monitoring data according to the supervision heartbeat interval and the heartbeat data acquisition result.
Further, the system further comprises:
the heartbeat data acquisition result judging module is used for judging whether the heartbeat data acquisition results are all in the range of the supervision heartbeat interval;
the first weight matching module is used for matching a first weight when the heartbeat data acquisition result has a result which is not in the range of the supervision heartbeat interval;
the first state abnormal value acquisition module is used for acquiring a first state abnormal value according to the heartbeat data deviation value and the first weight;
and the first obtaining module is used for obtaining the first state monitoring data based on the first state abnormal value.
Further, the system further comprises:
the second weight matching module is used for matching a second weight when the heartbeat data acquisition results are all in the range of the supervision heartbeat interval;
the stability analysis module is used for carrying out stability analysis on the heartbeat data acquisition result to obtain a stability analysis result;
the second state abnormal value acquisition module is used for acquiring a second state abnormal value according to the stability analysis result and the second weight calculation;
and the second obtaining module is used for obtaining the first state monitoring data through the second state abnormal value.
Further, the system further comprises:
the mode temperature monitoring data generation module is used for generating mode temperature monitoring data according to the mode acquisition result and the associated temperature monitoring data;
the data analysis module is used for carrying out data analysis on the data acquisition result to generate extreme value data, average value data and median data;
and the data comparison and analysis module is used for comparing and analyzing the extreme value data, the average value data and the median data through the mode temperature monitoring data, and obtaining the second state monitoring data according to comparison and analysis results.
Further, the system further comprises:
a standard temperature hierarchy construction module for constructing a standard temperature hierarchy based on the pattern temperature monitoring data;
the detection time window setting module is used for setting a detection time window;
the temperature grade transition judging module is used for judging whether temperature grade transition exists in the detection time window in the data acquisition result;
and the second state monitoring data acquisition module is used for acquiring the second state monitoring data according to the transition grade and the transition time when the temperature grade transition exists.
Further, the system further comprises:
the early warning grade data matching module is used for matching the early warning grade data according to the state monitoring result of the electrical equipment;
the abnormality early warning module is used for carrying out abnormality early warning through the early warning grade data and setting a response early warning interval;
and the overhaul feedback module is used for monitoring and managing overhaul feedback based on the response early warning interval.
The specific example of the state monitoring method for electrical equipment for nuclear power in the first embodiment is also applicable to the state monitoring system for electrical equipment for nuclear power in this embodiment, and those skilled in the art will clearly know the state monitoring system for electrical equipment for nuclear power in this embodiment through the foregoing detailed description of the state monitoring method for electrical equipment for nuclear power, so the details thereof will not be described herein for brevity. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Example III
Fig. 5 is a schematic diagram according to a third embodiment of the present disclosure, as shown in fig. 5, an electronic device 800 in the present disclosure may include: a processor 801 and a memory 802.
A memory 802 for storing a program; memory 802, which may include volatile memory (English: volatile memory), such as random-access memory (RAM), such as static random-access memory (SRAM), double data rate synchronous dynamic random-access memory (Double Data Rate Synchronous Dynamic RandomAccess Memory, DDR SDRAM), and the like; the memory may also include a non-volatile memory (English) such as a flash memory (English). The memory 802 is used to store computer programs (e.g., application programs, functional modules, etc. that implement the methods described above), computer instructions, etc., which may be stored in one or more of the memories 802 in a partitioned manner. And computer programs, computer instructions, data, etc. described above may be called upon by the processor 801.
The computer programs, computer instructions, etc., described above may be stored in one or more of the memories 802 in partitions. And the above-described computer programs, computer instructions, etc. may be invoked by the processor 801.
A processor 801 for executing a computer program stored in a memory 802 to realize the steps in the method according to the above embodiment.
Reference may be made in particular to the description of the embodiments of the method described above.
The processor 801 and the memory 802 may be separate structures or may be integrated structures integrated together. When the processor 801 and the memory 802 are separate structures, the memory 802 and the processor 801 may be coupled by a bus 803.
The electronic device in this embodiment may execute the technical scheme in the above method, and the specific implementation process and the technical principle are the same, which are not described herein again.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
According to an embodiment of the present disclosure, the present disclosure also provides a computer program product comprising: a computer program stored in a readable storage medium, from which at least one processor of an electronic device can read, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any one of the embodiments described above.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, may be performed sequentially or may be performed in a different order,
the present disclosure is not limited herein so long as the desired results of the disclosed technical solutions can be achieved.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (9)
1. The method is applied to an electrical equipment state monitoring system, and the electrical equipment state monitoring system is in communication connection with a temperature monitoring unit and a data interaction unit, and comprises the following steps:
acquiring equipment basic information of electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information;
acquiring historical fault information of the electrical equipment, and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information;
distributing the temperature monitoring units through the distribution information, and constructing associated temperature monitoring data based on the distribution information;
acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result;
collecting the equipment working modes of the electrical equipment to obtain a mode collecting result;
the data interaction unit is used for acquiring heartbeat data of the electrical equipment to obtain a heartbeat data acquisition result;
performing operation state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data;
comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data;
and generating an electrical equipment state monitoring result through the first state monitoring data and the second state monitoring data.
2. The method of claim 1, wherein the method comprises:
constructing a mapping interval of the mode and the heartbeat through standard data;
performing equipment analysis on the electrical equipment to generate equipment analysis results;
performing interval adjustment on the mapping interval through the equipment analysis result to generate a mode heartbeat mapping interval of the electrical equipment;
matching the pattern heartbeat mapping interval through the pattern acquisition result to obtain a supervision heartbeat interval;
and generating the first state monitoring data according to the supervision heartbeat interval and the heartbeat data acquisition result.
3. The method according to claim 2, wherein the method comprises:
judging whether the heartbeat data acquisition results are all in the range of the supervision heartbeat interval;
when the heartbeat data acquisition result has a result which is not in the range of the supervision heartbeat interval, matching a first weight;
acquiring a first state abnormal value according to the heartbeat data deviation value and the first weight;
the first state monitoring data is obtained based on the first state anomaly value.
4. A method according to claim 3, wherein the method comprises:
when the heartbeat data acquisition results are all in the range of the supervision heartbeat interval, matching a second weight;
performing stability analysis on the heartbeat data acquisition result to obtain a stability analysis result;
calculating to obtain a second state abnormal value according to the stability analysis result and the second weight;
and obtaining the first state monitoring data through the second state abnormal value.
5. The method of claim 1, wherein the method comprises:
generating mode temperature monitoring data according to the mode acquisition result and the associated temperature monitoring data;
carrying out data analysis on the data acquisition result to generate extreme value data, average value data and median data;
and comparing and analyzing the extreme value data, the average value data and the median data through the mode temperature monitoring data, and obtaining the second state monitoring data according to comparison and analysis results.
6. The method of claim 5, wherein the method comprises:
constructing a standard temperature hierarchy based on the pattern temperature monitoring data;
setting a detection time window;
judging whether temperature grade transition exists in the detection time window in the data acquisition result;
and when the temperature grade transition exists, acquiring the second state monitoring data according to the transition grade and the transition time.
7. The method of claim 1, wherein the method comprises:
matching early warning grade data according to the state monitoring result of the electrical equipment;
performing abnormal early warning according to the early warning grade data, and setting a response early warning interval;
and monitoring and managing maintenance feedback based on the response early warning interval.
8. A nuclear power electrical equipment state monitoring system, characterized in that the system is in communication connection with a temperature monitoring unit and a data interaction unit, and the system comprises:
the basic information acquisition module is used for acquiring equipment basic information of the electrical equipment, wherein the equipment basic information comprises equipment size information and equipment structure information;
the historical fault information acquisition module is used for acquiring historical fault information of the electrical equipment and generating layout information of the temperature monitoring unit according to the historical fault information and the equipment basic information;
the associated temperature monitoring data construction module is used for laying out the temperature monitoring units through the layout information and constructing associated temperature monitoring data based on the layout information;
the temperature data acquisition module is used for acquiring temperature data through the temperature monitoring unit to obtain a data acquisition result;
the equipment working mode acquisition module is used for acquiring the equipment working mode of the electrical equipment to obtain a mode acquisition result;
the heartbeat data acquisition module is used for acquiring heartbeat data of the electrical equipment through the data interaction unit to obtain a heartbeat data acquisition result;
the running state evaluation module is used for performing running state evaluation based on the heartbeat data acquisition result and the mode acquisition result to generate first state monitoring data;
the temperature comparison module is used for comparing the temperature of the data acquisition result through the mode acquisition result and the associated temperature monitoring data to generate second state monitoring data;
and the electrical equipment state monitoring module is used for generating an electrical equipment state monitoring result according to the first state monitoring data and the second state monitoring data.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
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