CN112764852A - Operation and maintenance safety monitoring method and system for intelligent wave recording master station and computer readable storage medium - Google Patents

Operation and maintenance safety monitoring method and system for intelligent wave recording master station and computer readable storage medium Download PDF

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Publication number
CN112764852A
CN112764852A CN202110061184.2A CN202110061184A CN112764852A CN 112764852 A CN112764852 A CN 112764852A CN 202110061184 A CN202110061184 A CN 202110061184A CN 112764852 A CN112764852 A CN 112764852A
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information
maintenance
obtaining
intelligent
data information
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Inventor
晋龙兴
刘子俊
黄福全
肖硕霜
车向北
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Shenzhen Power Supply Bureau Co Ltd
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Shenzhen Power Supply Bureau Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/451Execution arrangements for user interfaces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning

Abstract

The invention discloses an operation and maintenance safety monitoring method, system and computer readable storage medium for an intelligent wave recording master station, wherein the method comprises the following steps: obtaining a first predetermined time period; acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by an intelligent recorder according to a first preset time period; inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a first training model as first input information and second input information respectively; obtaining output information of the first training model; displaying the second result through a visual interface, and then obtaining preset safety level information; judging whether the first result meets preset safety level information or not, and if not, acquiring a first issuing instruction; and issuing the first early warning information through a visual interface according to the first issuing instruction. The invention solves the technical problem that the intelligent wave recording master station cannot be controlled to carry out remote operation and maintenance safety monitoring on the intelligent wave recorder in a real-time and visual manner.

Description

Operation and maintenance safety monitoring method and system for intelligent wave recording master station and computer readable storage medium
Technical Field
The invention relates to the technical field of wave recorder monitoring, in particular to an operation and maintenance safety monitoring method and system for an intelligent wave recorder main station and a computer readable storage medium.
Background
The intelligent wave recorder and the main station system thereof are the most important implementation carrier for relay protection intellectualization, but the network safety protection research is basically in a blank state, and the risk that the intelligent wave recorder and the main station system thereof are broken is higher, so that the remote operation and maintenance safety monitoring of the intelligent wave recorder and the main station system thereof needs to be implemented urgently to ensure the operation safety of the intelligent wave recorder and the main station system thereof. However, in the process of implementing the technical solution of the invention in the embodiment of the present application, the inventor of the present application finds that at least the following technical problems exist in the prior art:
the network security rectification work of the intelligent oscillograph depends on the station-by-station development, the workload is large, the efficiency is low, the cost is high, and the intelligent recording and measurement cannot be mastered in real time and visually.
Disclosure of Invention
The invention aims to solve the technical problem of providing an operation and maintenance safety monitoring method and system for an intelligent wave recording master station and a computer readable storage medium, so as to perform intelligent safety monitoring on the intelligent wave recorder and the master station system thereof in real time and visually.
In order to solve the technical problem, an embodiment of the present invention provides an operation and maintenance safety monitoring method for an intelligent wave recording master station, where the intelligent wave recording master station has a visual interface, and the intelligent wave recording master station is in communication connection with an intelligent wave recorder, and the operation and maintenance safety monitoring method includes:
step S1, acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
step S2, respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model, and outputting a first result and a second result, where the first result is first situation expression diagram information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first security level information of the intelligent oscillograph;
step S3, displaying the first result through the visual interface, and then obtaining preset safety level information;
step S4, judging whether the second result meets the preset safety level information, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
Further, the step S1 specifically includes:
obtaining a first predetermined time period;
acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent wave recorder according to the first preset time period;
and acquiring first operation and maintenance log data information acquired by a safety probe of the intelligent wave recorder according to the first preset time period.
Further, the first training model is obtained by training a plurality of sets of training data, each set of training data in the plurality of sets of training data includes: the first operation and maintenance state data information, the first operation and maintenance log data information and identification information used for identifying the first result and the second result.
Further, the obtaining of the first operation and maintenance state data information acquired by the safety probe of the intelligent wave recorder according to the first predetermined time period specifically includes:
obtaining first environment information where the intelligent oscillograph is located;
acquiring first temperature and humidity information of the intelligent wave recorder according to the first environment information;
acquiring first power data information of the intelligent wave recorder;
obtaining the distribution line information of the intelligent oscillograph;
and acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent oscillograph according to the first temperature and humidity information, the first power data information and the distribution line information.
Further, the operation and maintenance safety monitoring method further comprises the following steps:
acquiring first altitude information of the intelligent wave recorder according to the first environment information;
obtaining a first influence coefficient on the first temperature and humidity information according to the first altitude information;
obtaining a first adjusting instruction and a first adjusting degree according to the first influence coefficient;
and adjusting the first operation and maintenance state data information according to the first adjustment instruction and the first adjustment degree.
Further, the operation and maintenance safety monitoring method further comprises the following steps:
obtaining a second predetermined time period, wherein the second predetermined time period is greater than the first predetermined time period;
acquiring second operation and maintenance state data information and second operation and maintenance log data information in the second preset time period;
acquiring second state diagram information of the second operation and maintenance state data information and second operation and maintenance log data information;
obtaining a third predetermined time period, wherein the third predetermined time period is a future time;
obtaining third state potential diagram prediction information of the third preset time period according to the second state potential diagram information;
obtaining second safety grade prediction information according to the third state potential diagram prediction information;
when the second safety level prediction information does not reach the preset safety level information and a first deviation value between the second safety level prediction information and the preset safety level information meets a preset deviation range, obtaining a second issuing instruction;
according to the second issuing instruction, issuing second early warning information through the visual interface;
when the second safety level prediction information exceeds the preset safety level information, a third issuing instruction is obtained;
and issuing third early warning information through the visual interface according to the third issuing instruction.
Further, after the first warning information is issued through the visual interface according to the first issuing instruction, the method further includes:
acquiring first fault positioning information;
acquiring first fault point number information according to the first fault positioning information;
when the first fault point number information is larger than 1, obtaining a first distance between adjacent fault points;
when the first distance exceeds a preset distance, generating a first dispatching instruction according to the first fault positioning information;
and according to the first dispatching instruction, respectively dispatching the first fault positioning information to different operation and maintenance workers.
Further, the operation and maintenance safety monitoring method further comprises the following steps:
acquiring first video information of an area where the intelligent wave recorder is located according to the first preset time period;
judging whether the first video information comprises first person information or not;
if the first person information is included, carrying out identity recognition on the first person information to obtain a first recognition result;
when the first identification result is an unsafe person, obtaining fourth early warning information;
and after the fourth early warning information is issued, carrying out emergency protection operation on the intelligent wave recorder.
Further, the operation and maintenance safety monitoring method further comprises the following steps:
when the first identification result is a safety person, obtaining operation information of the first person according to the first video information;
judging whether the operation information exceeds a preset operation range or not;
if the preset operation range is exceeded, fifth early warning information is obtained;
and sending the fifth early warning information to the first personnel, and performing emergency stop operation on the intelligent wave recorder.
The invention also provides an operation and maintenance safety monitoring system for the intelligent wave recording master station, which comprises:
the acquisition module is used for acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
the model input module is used for respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model;
the model output module is used for outputting a first result and a second result, the first result is first situation expression graph information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first safety level information of the intelligent oscillograph;
the display module is used for obtaining preset safety level information after the first result is displayed through the visual interface;
and the issuing module is used for judging whether the second result meets the preset safety level information or not, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
Further, the obtaining module further comprises:
a first obtaining unit configured to obtain a first predetermined period of time;
the second obtaining unit is used for obtaining first operation and maintenance state data information collected by a safety probe of the intelligent wave recorder according to the first preset time period;
and the third obtaining unit is used for obtaining first operation and maintenance log data information acquired by the safety probe of the intelligent wave recorder according to the first preset time period.
The invention also provides a computer-readable storage medium, which includes a stored computer program, and when the computer program runs, the computer program controls a device in which the computer-readable storage medium is located to execute the operation and maintenance safety monitoring method.
The embodiment of the invention has the beneficial effects that: the operation and maintenance state data and the safety operation and maintenance log data collected by the safety probe of the intelligent recorder are analyzed in a safety situation based on big data analysis and artificial intelligence technology, and the analysis result is visually displayed, so that the safety situation visual presentation and the safety early warning information release of the intelligent recorder are realized, and the technical effect of safe operation and maintenance linkage processing is provided;
the remote operation and maintenance safety condition of the intelligent wave recorder is pre-researched and pre-judged according to the predicted situation map information, and the pre-judged result is subjected to real-time preprocessing, so that the intelligent wave recorder and a main station system thereof can run uninterruptedly, and the multi-fault information in the running process of the intelligent wave recorder is subjected to linkage processing, so that the technical effect of improving the running and maintenance level of the intelligent wave recorder is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an operation and maintenance safety monitoring method for an intelligent wave recording master station according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a specific operation and maintenance safety monitoring method for an intelligent wave recording master station according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an operation and maintenance safety monitoring system for an intelligent wave recording master station according to a second embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an exemplary electronic device in an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides an operation and maintenance safety monitoring method for an intelligent wave recording master station, where the intelligent wave recording master station has a visual interface, and the intelligent wave recording master station is in communication connection with an intelligent wave recorder, and the operation and maintenance safety monitoring method includes:
step S1, acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
step S2, respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model, and outputting a first result and a second result, where the first result is first situation expression diagram information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first security level information of the intelligent oscillograph;
step S3, displaying the first result through the visual interface, and then obtaining preset safety level information;
step S4, judging whether the second result meets the preset safety level information, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Referring to fig. 2 again, step S1 specifically includes:
step S100, obtaining a first preset time period;
specifically, the first predetermined time period is a certain time period during which the intelligent wave recording master station performs remote operation and maintenance safety monitoring on the intelligent wave recorder, and the first predetermined time period may be different from one quarter hour, half hour, and one hour, and is not specifically set here.
Step S200, acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent wave recorder according to the first preset time period;
specifically, the first operation and maintenance state data information is operation and maintenance state information acquired by a safety probe of the intelligent oscillograph within the first predetermined time period, and data acquisition can be performed through power data information, distribution line information and the like of a power system.
Step S300, acquiring first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph according to the first preset time period;
specifically, the first operation and maintenance log data information is the operation and maintenance log information collected by the safety probe of the intelligent oscillograph in the first predetermined time period, and includes information such as date, time, operator, operation and maintenance state, and the like.
Step S2 specifically includes:
step S400, inputting the first operation and maintenance state data information and the first operation and maintenance log data information as first input information and second input information to a trained first training model, wherein the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first operation and maintenance state data information, the first operation and maintenance log data information and identification information used for identifying a first result and a second result;
step S500, obtaining output information of the first training model, wherein the output information includes the first result and a second result, the first result is the first operation and maintenance state data information and the first situation expression diagram information of the first operation and maintenance log data information, and the second result is the first safety level information of the intelligent recorder;
specifically, the first training model is a neural network model in machine learning. In this embodiment, the first operation and maintenance state data information and the first operation and maintenance log data information are respectively used as first input information and second input information to be input to a first training model, and the neural network model is trained by using the first result and the second result information of the identification, so that the output training result is more accurate.
Further, the training process is essentially a supervised learning process. The plurality of groups of training data are specifically: the first operation and maintenance state data information, the first operation and maintenance log data information and identification information used for identifying the first result and the second result. By inputting the first operation and maintenance state data information and the first operation and maintenance log data information, the neural network model outputs a first result and a second result, wherein the first result is the first situation expression graph information of the first operation and maintenance state data information and the first operation and maintenance log data information, the second result is first safety level information of the intelligent oscillograph, the first situation expression graph information is an operation situation expression graph of the intelligent oscillograph obtained by comprehensive research and judgment according to the first operation and maintenance state data information and the first operation and maintenance log data information, by checking the output information with the first result and the second result information which function as identifiers, if the output information is consistent with the requirements of the first result information and the second result information which play the role of identification, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output information is inconsistent with the requirements of the first result and the second result information which play the role of identification, the neural network learning model adjusts itself until the output result of the neural network learning model is consistent with the requirements of the first result and the second result information which play the role of identification, and then the supervised learning of the next group of data is carried out. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the information is improved through the process of supervised learning, and the technical effect that the first result and the second result are more accurate is achieved.
In step S3 (fig. 2 shows step S600), after the first result is displayed through the visual interface, preset security level information is obtained.
Specifically, Visualization (Visualization) is to convert data into a graph or an image to be displayed on a screen by using computer graphics and an image processing technology, and perform interactive processing, wherein the preset security level information is the level information of the operation and maintenance security of a preset intelligent recorder.
Step S4 specifically includes:
step S700, judging whether the second result meets the preset safety level information or not, and if not, acquiring a first issuing instruction;
specifically, when the preset safety level information is known, it is required to determine whether the second result meets the preset safety level information, that is, it is determined whether the first safety level information of the intelligent wave recorder meets the preset safety level information, and when the first safety level information of the intelligent wave recorder does not meet the preset safety level information, a first issuing instruction is obtained, where the content of the first issuing instruction is that the first safety level information of the intelligent wave recorder does not meet the preset safety level information.
And step S800, issuing first early warning information through the visual interface according to the first issuing instruction.
Specifically, if the first early warning information is that the first result does not satisfy the preset safety level information, the first early warning information is issued through the visual interface according to the first issuing instruction, and the intelligent wave recorder is operated and maintained, so that the technical effects of realizing the remote operation and maintenance of the network safety and the visualization of the network safety state of the intelligent wave recorder and the main station system thereof are achieved.
Further, step S200 specifically includes:
step S210, obtaining first environment information where the intelligent oscillograph is located;
step S220, acquiring first temperature and humidity information of the intelligent wave recorder according to the first environment information;
step S230, obtaining first power data information of the intelligent oscillograph;
step S240, obtaining the distribution line information of the intelligent oscillograph;
and step S250, acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent oscillograph according to the first temperature and humidity information, the first power data information and the distribution line information.
Specifically, first environment information of the intelligent wave recorder can be obtained by obtaining first operation and maintenance state data information collected by the intelligent wave recorder, the first environment information is the environment of the intelligent wave recorder, first temperature and humidity information of the intelligent wave recorder is obtained according to the first environment information, the first temperature and humidity information is the temperature and humidity information of the environment of the intelligent wave recorder, first power data information of the intelligent wave recorder can also be obtained, the first power data information comprises input and output information of current and input and output information of voltage, distribution line information of the intelligent wave recorder is obtained, the distribution line information comprises technical parameters of lines, composition of the distribution lines and the like, and further according to the first temperature and humidity information, the first power data information and the distribution line information, the first operation and maintenance state data information collected by the safety probe of the intelligent wave recorder is obtained, and the technical effect that the collection of the first operation and maintenance state data information of the intelligent wave recorder is more accurate is achieved by obtaining specific temperature and humidity information, electric power data information and distribution line information.
In order to obtain more accurate first operation and maintenance state data information of the intelligent oscillograph, this embodiment further includes:
step S260, acquiring first altitude information of the intelligent wave recorder according to the first environment information;
step S270, obtaining a first influence coefficient on the first temperature and humidity information according to the first altitude information;
step S280, obtaining a first adjusting instruction and a first adjusting degree according to the first influence coefficient;
step S290, according to the first adjustment instruction, adjusting the first operation and maintenance state data information according to the first adjustment degree.
Specifically, in order to obtain more accurate first operation and maintenance state data information of the intelligent wave recorder, first altitude information of the intelligent wave recorder can be obtained according to the first environment information, the first altitude information is an altitude at which the intelligent wave recorder is located, the temperature is lower as the altitude is higher due to the influence of the altitude on the temperature, and further according to the first altitude information, a first influence coefficient for the first temperature and humidity information is obtained, the first influence coefficient is an influence coefficient of the first altitude information on the first temperature and humidity information, and further according to the first influence coefficient, a first adjustment instruction and a first adjustment degree are obtained, the first adjustment instruction is used for adjusting the first temperature and humidity information, the first adjustment degree is a specific adjustment degree for the first temperature and humidity information, and according to the first adjustment instruction, the first operation and maintenance state data information is adjusted according to the first adjustment degree, and the technical effect of ensuring that the more accurate first operation and maintenance state data information of the intelligent oscillograph is obtained is achieved by reducing the influence of temperature and humidity information on the first operation and maintenance state data information.
In order to pre-evaluate the operation and maintenance condition of the intelligent oscillograph, the present embodiment further includes:
step S910, obtaining a second predetermined time period, wherein the second predetermined time period is greater than the first predetermined time period;
step S920, obtaining second operation and maintenance state data information and second operation and maintenance log data information in the second predetermined time period;
step S930, obtaining second situation expression diagram information of the second operation and maintenance state data information and the second operation and maintenance log data information;
step S940, obtaining a third predetermined time period, wherein the third predetermined time period is a future time;
step S950, obtaining third state potential diagram prediction information of the third preset time period according to the second state potential diagram information;
step S960, obtaining second security level prediction information according to the third situation expression diagram prediction information;
step S970, when the second safety level prediction information does not reach the preset safety level information and a first deviation value between the second safety level prediction information and the preset safety level information meets a preset deviation range, obtaining a second issuing instruction;
step S980, issuing second early warning information through the visual interface according to the second issuing instruction;
step S990, when the second safety level prediction information exceeds the preset safety level information, a third issuing instruction is obtained, and third early warning information is issued through the visual interface according to the third issuing instruction.
Specifically, in order to pre-research and pre-judge the operation and maintenance condition of the intelligent wave recorder, a second predetermined time period may be obtained, where the second predetermined time period is greater than the first predetermined time period, it may be understood that when the first predetermined time period is an quarter, the second predetermined time period may be an hour, and then second operation and maintenance state data information and second operation and maintenance log data information in the second predetermined time period are obtained, and second state potential representation map information is obtained according to the second operation and maintenance state data information and the second operation and maintenance log data information, and furthermore, a third predetermined time period may be obtained, where the third predetermined time period is a future time, which may be understood as a week or the like in the future, and then the operation and maintenance condition map of the intelligent wave recorder in the third predetermined time period is pre-researched and pre-judged according to the second state potential representation map information, and according to the third state potential expression diagram prediction information, obtaining second safety level prediction information, wherein the second safety level prediction information is predicted safety level information of the operation and maintenance condition of the intelligent wave recorder in the third preset time period, judging the second safety level prediction information, obtaining a second issuing instruction when the second safety level prediction information does not reach the preset safety level information and a first deviation value between the second safety level prediction information and the preset safety level information meets a preset deviation range, and issuing second early warning information through the visual interface according to the second issuing instruction, wherein the second early warning information is predicted that the operation and maintenance condition of the intelligent wave recorder in the third preset time period does not meet the preset safety level information, but within reasonable predetermined tolerances; if the second safety level prediction information exceeds the preset safety level information, a third issuing instruction is obtained, third early warning information is issued through the visual interface, the third early warning information is that the second safety level prediction information exceeds the preset safety level information, and the operation and maintenance conditions of the intelligent recorder are pre-researched and pre-judged, so that the pre-researched and pre-judged result is scientifically and reasonably pre-processed, and the technical effect that the intelligent recorder and the main station system thereof run uninterruptedly is achieved.
After the issuing, according to the first issuing instruction, the first warning information through the visual interface, step S800 further includes:
step S810, acquiring first fault positioning information;
step S820, obtaining first fault point number information according to the first fault positioning information;
step S830, when the first fault point number information is greater than 1, obtaining a first distance between adjacent fault points;
step 840, when the first distance exceeds a preset distance, generating a first dispatching instruction according to the first fault positioning information;
and step S850, respectively dispatching the first fault positioning information to different operation and maintenance workers according to the first dispatching instruction.
Specifically, in order to repair operation and maintenance faults of the intelligent oscillograph appearing in the early warning information, first fault location information can be obtained, the first fault location information is information for locating a first fault, the time for solving the problem can be shortened by rapidly locating the fault, first fault point number information is obtained according to the first fault location information, the first fault point number information is judged, when the first fault point number information is greater than 1, more than one fault occurs, a first distance between adjacent fault points is obtained, the first distance is judged, when the first distance exceeds a preset distance, namely the first distance is not within a preset distance range, a first work dispatching instruction is generated according to the first fault location information, the first work dispatching instruction is used for dispatching different operation and maintenance workers to the first fault location information for operating and maintaining the intelligent oscillograph, by sending a plurality of working personnel to maintain different fault points, the technical effects of providing safe operation and maintenance linkage processing and improving the operation and maintenance level are achieved.
In order to ensure that the operation of the intelligent wave recorder is not controlled maliciously, the embodiment further includes:
step S1010, obtaining first video information of an area where the intelligent recorder is located according to the first preset time period;
step S1020, judging whether the first video information comprises first person information;
step S1030, if the first person information is included, performing identity recognition on the first person information to obtain a first recognition result;
step S1040, when the first identification result is an unsafe person, fourth early warning information is obtained;
and step S1050, after the fourth early warning information is issued, performing emergency protection operation on the intelligent wave recorder.
Specifically, in order to ensure that the intelligent wave recorder is not maliciously controlled in operation, first video information of an area where the intelligent wave recorder is located can be obtained according to the first preset time period, the first video information monitors the area where the intelligent wave recorder is located in real time, whether the first video information includes first person information is judged, the first person information is persons appearing in the video information, if the first person information includes the first person information, identity recognition is performed on the first person information, a first recognition result is obtained, the first recognition result includes two conditions, the first person information is safe persons or non-safe persons, when the first recognition result is unsafe persons, fourth early warning information is obtained, danger early warning is performed on the first person information, and the fourth early warning information is issued, the intelligent wave recorder carries out emergency protection operation, and emergency protection operation can be carried out through a locking system or a protection program, so that the intelligent wave recorder is prevented from being operated maliciously by dangerous molecules, and the technical effects of ensuring that the intelligent wave recorder is not maliciously controlled and operated safely are achieved.
In order to further ensure the safe operation of the intelligent oscillograph, the embodiment further includes:
step 1060, when the first identification result is a security personnel, obtaining operation information of the first personnel according to the first video information;
step S1070, judging whether the operation information exceeds a preset operation range;
step S1080, if the preset operation range is exceeded, fifth early warning information is obtained;
and step S1090, the fifth early warning information is sent to the first person, and the intelligent wave recorder is subjected to emergency stop operation.
In particular, in order to further ensure the safe operation of the intelligent wave recorder, when the first identification result is a safety personnel, obtaining operation information of the first person according to the first video information, wherein the operation information is the operation step of the first person on the intelligent recorder, judging whether the operation information exceeds a preset operation range, namely, judging whether the operation information is normal and reasonable, if the operation information exceeds the preset operation range, indicating improper operation or violation and the like, obtaining fifth early warning information, wherein the fifth early warning information is used for preventing operation and maintenance personnel from operating the intelligent recorder at will, further sending the fifth early warning information to the first personnel, and performing emergency stop operation on the intelligent wave recorder, the operation is reasonable by standardizing the operation rules of operators, and the technical effect of further ensuring the safe operation of the intelligent oscillograph is achieved.
Based on the same inventive concept as the operation and maintenance safety monitoring method for the intelligent wave recording master station in the foregoing embodiments of the present invention, a second embodiment of the present invention provides an operation and maintenance safety monitoring system for an intelligent wave recording master station, where the system includes:
the acquisition module is used for acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
the model input module is used for respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model;
the model output module is used for outputting a first result and a second result, the first result is first situation expression graph information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first safety level information of the intelligent oscillograph;
the display module is used for obtaining preset safety level information after the first result is displayed through the visual interface;
and the issuing module is used for judging whether the second result meets the preset safety level information or not, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
Specifically, please refer to fig. 3, the obtaining module further includes:
a first obtaining unit 11 configured to obtain a first predetermined time period;
the second obtaining unit 12 is configured to obtain, according to the first predetermined time period, first operation and maintenance state data information acquired by a safety probe of the intelligent wave recorder;
and a third obtaining unit 13, configured to obtain, according to the first predetermined time period, first operation and maintenance log data information acquired by a safety probe of the intelligent wave recorder.
The model input module specifically includes a first input unit 14, configured to input the first operation and maintenance state data information and the first operation and maintenance log data information to a first training model as first input information and second input information, respectively, where the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets includes: the first operation and maintenance state data information, the first operation and maintenance log data information and identification information used for identifying a first result and a second result;
the model output module specifically includes a fourth obtaining unit 15, configured to obtain output information of the first training model, where the output information includes the first result and a second result, where the first result is the first operation and maintenance state data information and the first situation expression diagram information of the first operation and maintenance log data information, and the second result is the first security level information of the intelligent oscillograph;
the display module specifically comprises a first display unit 16, which is used for obtaining preset safety level information after the first result is displayed through the visual interface;
the release module specifically comprises:
a first judging unit 17, configured to judge whether the second result meets the preset security level information, and if not, obtain a first issuing instruction;
and the first issuing unit 18 is configured to issue the first warning information through the visual interface according to the first issuing instruction.
Further, the system further comprises:
a fifth obtaining unit: the fifth obtaining unit is used for obtaining first environment information where the intelligent oscillograph is located;
a sixth obtaining unit: the sixth obtaining unit is configured to obtain first temperature and humidity information of the intelligent oscillograph according to the first environment information;
a seventh obtaining unit: the seventh obtaining unit is used for obtaining first power data information of the intelligent oscillograph;
an eighth obtaining unit: the eighth obtaining unit is used for obtaining the distribution line information of the intelligent oscillograph;
a ninth obtaining unit: the ninth obtaining unit is used for obtaining first operation and maintenance state data information acquired by the safety probe of the intelligent oscillograph according to the first temperature and humidity information, the first power data information and the distribution line information.
Further, the system further comprises:
a tenth obtaining unit: the tenth obtaining unit is configured to obtain first altitude information of the intelligent wave recorder according to the first environment information;
an eleventh obtaining unit: the eleventh obtaining unit is configured to obtain a first influence coefficient on the first temperature and humidity information according to the first altitude information;
a twelfth obtaining unit: the twelfth obtaining unit is configured to obtain a first adjustment instruction and a first adjustment degree according to the first influence coefficient;
a first adjusting unit: the first adjusting unit is configured to adjust the first operation and maintenance state data information according to the first adjustment degree according to the first adjustment instruction.
Further, the system further comprises:
a thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain a second predetermined time period, where the second predetermined time period is greater than the first predetermined time period;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain second operation and maintenance state data information and second operation and maintenance log data information in the second predetermined time period;
a fifteenth obtaining unit: the fifteenth obtaining unit is configured to obtain the second operation and maintenance state data information and second situation map information of the second operation and maintenance log data information;
a sixteenth obtaining unit: the sixteenth obtaining unit is configured to obtain a third predetermined time period, where the third predetermined time period is a future time;
a seventeenth obtaining unit: the seventeenth obtaining unit is configured to obtain third posture diagram prediction information of the third predetermined time period according to the second posture diagram information;
an eighteenth obtaining unit: the eighteenth obtaining unit is configured to obtain second security level prediction information according to the third potential representation diagram prediction information;
a nineteenth obtaining unit: the nineteenth obtaining unit is configured to obtain a second issuing instruction when the second safety level prediction information does not reach the preset safety level information and a first deviation value between the second safety level prediction information and the preset safety level information meets a preset deviation range;
a second issuing unit: the second issuing unit is used for issuing second early warning information through the visual interface according to the second issuing instruction;
a twentieth obtaining unit: the twentieth obtaining unit is configured to obtain a third issue instruction when the second security level prediction information exceeds the preset security level information;
a third issuing unit: and the third issuing unit is used for issuing third early warning information through the visual interface according to the third issuing instruction.
Further, the system further comprises:
a twenty-first obtaining unit: the twenty-first obtaining unit is used for obtaining first fault positioning information;
a twenty-second obtaining unit: the twenty-second obtaining unit is configured to obtain first fault point number information according to the first fault location information;
a twenty-third obtaining unit: the twenty-third obtaining unit is configured to obtain a first distance between adjacent fault points when the first fault point number information is greater than 1;
a first generation unit: the first generating unit is used for generating a first dispatching instruction according to the first fault positioning information when the first distance exceeds a preset distance;
a first dispatch unit: the first dispatching unit is used for dispatching the first fault positioning information to different operation and maintenance workers according to the first dispatching instruction.
Further, the system further comprises:
a twenty-fourth obtaining unit: the twenty-fourth obtaining unit is configured to obtain first video information of an area where the intelligent wave recorder is located according to the first predetermined time period;
a second judgment unit: the second judging unit is used for judging whether the first video information comprises first person information or not;
a first recognition unit: the first identification unit is used for carrying out identity identification on the first person information to obtain a first identification result if the first person information is included;
a twenty-fifth obtaining unit: the twenty-fifth obtaining unit is used for obtaining fourth early warning information when the first identification result is an unsafe person;
and the first protection unit is used for carrying out emergency protection operation on the intelligent wave recorder after the fourth early warning information is issued.
Further, the system further comprises:
a twenty-sixth obtaining unit: the twenty-sixth obtaining unit is configured to obtain operation information of the first person according to the first video information when the first identification result is a security person;
a third judging unit: the third judging unit is used for judging whether the operation information exceeds a preset operation range;
a twenty-seventh obtaining unit: the twenty-seventh obtaining unit is used for obtaining fifth early warning information if the preset operation range is exceeded;
a first transmission unit: the first sending unit is used for sending the fifth early warning information to the first person and carrying out emergency stop operation on the intelligent wave recorder.
Various changes and specific examples of the operation and maintenance safety monitoring method for the intelligent wave recording master station according to the embodiment of the present invention shown in fig. 1 and 2 are also applicable to the operation and maintenance safety monitoring system for the intelligent wave recording master station according to the embodiment of the present invention, and through the foregoing detailed description of the first embodiment of the present invention, those skilled in the art can clearly know the implementation and the operation principle of the operation and maintenance safety monitoring system for the intelligent wave recording master station according to the embodiment of the present invention, so for the brevity of the description, detailed descriptions are omitted here.
An electronic device according to a third embodiment of the present invention is described below with reference to fig. 4.
Based on the inventive concept of the operation and maintenance safety monitoring method for the intelligent wave recording master station, the invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the computer-readable storage medium controls a device on which the computer-readable storage medium is located to execute the operation and maintenance safety monitoring method for the intelligent wave recording master station.
Where in the electronic device shown in FIG. 3 in which the computer-readable storage medium is located, a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further in this embodiment. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
From the above, compared with the prior art, the embodiment of the invention has the following beneficial effects: the operation and maintenance state data and the safety operation and maintenance log data collected by the safety probe of the intelligent recorder are analyzed in a safety situation based on big data analysis and artificial intelligence technology, and the analysis result is visually displayed, so that the safety situation visual presentation and the safety early warning information release of the intelligent recorder are realized, and the technical effect of safe operation and maintenance linkage processing is provided;
the remote operation and maintenance safety condition of the intelligent wave recorder is pre-researched and pre-judged according to the predicted situation map information, and the pre-judged result is subjected to real-time preprocessing, so that the intelligent wave recorder and a main station system thereof can run uninterruptedly, and the multi-fault information in the running process of the intelligent wave recorder is subjected to linkage processing, so that the technical effect of improving the running and maintenance level of the intelligent wave recorder is achieved.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.

Claims (12)

1. The operation and maintenance safety monitoring method for the intelligent wave recording master station is characterized in that the operation and maintenance safety monitoring method comprises the following steps:
step S1, acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
step S2, respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model, and outputting a first result and a second result, where the first result is first situation expression diagram information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first security level information of the intelligent oscillograph;
step S3, displaying the first result through the visual interface, and then obtaining preset safety level information;
step S4, judging whether the second result meets the preset safety level information, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
2. The operation and maintenance safety monitoring method according to claim 1, wherein the step S1 specifically includes:
obtaining a first predetermined time period;
acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent wave recorder according to the first preset time period;
and acquiring first operation and maintenance log data information acquired by a safety probe of the intelligent wave recorder according to the first preset time period.
3. The operation and maintenance safety monitoring method according to claim 1, wherein the first training model is obtained by training a plurality of sets of training data, each set of training data in the plurality of sets comprising: the first operation and maintenance state data information, the first operation and maintenance log data information and identification information used for identifying the first result and the second result.
4. The operation and maintenance safety monitoring method according to claim 2, wherein the obtaining of the first operation and maintenance state data information collected by the safety probe of the intelligent recorder according to the first predetermined time period specifically comprises:
obtaining first environment information where the intelligent oscillograph is located;
acquiring first temperature and humidity information of the intelligent wave recorder according to the first environment information;
acquiring first power data information of the intelligent wave recorder;
obtaining the distribution line information of the intelligent oscillograph;
and acquiring first operation and maintenance state data information acquired by a safety probe of the intelligent oscillograph according to the first temperature and humidity information, the first power data information and the distribution line information.
5. The operation and maintenance safety monitoring method according to claim 4, further comprising:
acquiring first altitude information of the intelligent wave recorder according to the first environment information;
obtaining a first influence coefficient on the first temperature and humidity information according to the first altitude information;
obtaining a first adjusting instruction and a first adjusting degree according to the first influence coefficient;
and adjusting the first operation and maintenance state data information according to the first adjustment instruction and the first adjustment degree.
6. The operation and maintenance safety monitoring method according to claim 2, further comprising:
obtaining a second predetermined time period, wherein the second predetermined time period is greater than the first predetermined time period;
acquiring second operation and maintenance state data information and second operation and maintenance log data information in the second preset time period;
acquiring second state diagram information of the second operation and maintenance state data information and second operation and maintenance log data information;
obtaining a third predetermined time period, wherein the third predetermined time period is a future time;
obtaining third state potential diagram prediction information of the third preset time period according to the second state potential diagram information;
obtaining second safety grade prediction information according to the third state potential diagram prediction information;
when the second safety level prediction information does not reach the preset safety level information and a first deviation value between the second safety level prediction information and the preset safety level information meets a preset deviation range, obtaining a second issuing instruction;
according to the second issuing instruction, issuing second early warning information through the visual interface;
when the second safety level prediction information exceeds the preset safety level information, a third issuing instruction is obtained;
and issuing third early warning information through the visual interface according to the third issuing instruction.
7. The operation and maintenance safety monitoring method according to claim 1, wherein after issuing first warning information through the visual interface according to the first issuing instruction, the method further comprises:
acquiring first fault positioning information;
acquiring first fault point number information according to the first fault positioning information;
when the first fault point number information is larger than 1, obtaining a first distance between adjacent fault points;
when the first distance exceeds a preset distance, generating a first dispatching instruction according to the first fault positioning information;
and according to the first dispatching instruction, respectively dispatching the first fault positioning information to different operation and maintenance workers.
8. The operation and maintenance safety monitoring method according to claim 2, further comprising:
acquiring first video information of an area where the intelligent wave recorder is located according to the first preset time period;
judging whether the first video information comprises first person information or not;
if the first person information is included, carrying out identity recognition on the first person information to obtain a first recognition result;
when the first identification result is an unsafe person, obtaining fourth early warning information;
and after the fourth early warning information is issued, carrying out emergency protection operation on the intelligent wave recorder.
9. The operation and maintenance safety monitoring method according to claim 8, further comprising:
when the first identification result is a safety person, obtaining operation information of the first person according to the first video information;
judging whether the operation information exceeds a preset operation range or not;
if the preset operation range is exceeded, fifth early warning information is obtained;
and sending the fifth early warning information to the first personnel, and performing emergency stop operation on the intelligent wave recorder.
10. The utility model provides an operation and maintenance safety monitoring system for intelligence record owner station which characterized in that includes:
the acquisition module is used for acquiring first operation and maintenance state data information and first operation and maintenance log data information acquired by a safety probe of the intelligent oscillograph in a first preset time period;
the model input module is used for respectively inputting the first operation and maintenance state data information and the first operation and maintenance log data information into a trained first training model;
the model output module is used for outputting a first result and a second result, the first result is first situation expression graph information of the first operation and maintenance state data information and the first operation and maintenance log data information, and the second result is first safety level information of the intelligent oscillograph;
the display module is used for obtaining preset safety level information after the first result is displayed through the visual interface;
and the issuing module is used for judging whether the second result meets the preset safety level information or not, if not, obtaining a first issuing instruction, and issuing first early warning information through the visual interface according to the first issuing instruction.
11. The operation and maintenance safety monitoring system according to claim 10, wherein the obtaining module further comprises:
a first obtaining unit configured to obtain a first predetermined period of time;
the second obtaining unit is used for obtaining first operation and maintenance state data information collected by a safety probe of the intelligent wave recorder according to the first preset time period;
and the third obtaining unit is used for obtaining first operation and maintenance log data information acquired by the safety probe of the intelligent wave recorder according to the first preset time period.
12. A computer-readable storage medium, comprising a stored computer program, which when executed controls an apparatus in which the computer-readable storage medium is located to perform the operation and maintenance safety monitoring method according to any one of claims 1 to 9.
CN202110061184.2A 2021-01-18 2021-01-18 Operation and maintenance safety monitoring method and system for intelligent wave recording master station and computer readable storage medium Pending CN112764852A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113239627A (en) * 2021-05-31 2021-08-10 南京乾鑫电器设备有限公司 Distributed intelligent monitoring method and device

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6339832B1 (en) * 1999-08-31 2002-01-15 Accenture Llp Exception response table in environment services patterns
CN203324773U (en) * 2013-05-29 2013-12-04 东润环能(北京)科技有限公司 Wind farm centralized control system
CN108632266A (en) * 2018-04-27 2018-10-09 华北电力大学 A kind of power distribution communication network security situational awareness method
CN110717665A (en) * 2019-09-30 2020-01-21 国家电网有限公司 System and method for fault identification and trend analysis based on scheduling control system
CN111290913A (en) * 2020-02-04 2020-06-16 复旦大学 Fault location visualization system and method based on operation and maintenance data prediction
US20200285952A1 (en) * 2019-03-08 2020-09-10 International Business Machines Corporation Quantifying Vulnerabilities of Deep Learning Computing Systems to Adversarial Perturbations
CN111654489A (en) * 2020-05-27 2020-09-11 杭州迪普科技股份有限公司 Network security situation sensing method, device, equipment and storage medium
CN111885040A (en) * 2020-07-17 2020-11-03 中国人民解放军战略支援部队信息工程大学 Distributed network situation perception method, system, server and node equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6339832B1 (en) * 1999-08-31 2002-01-15 Accenture Llp Exception response table in environment services patterns
CN203324773U (en) * 2013-05-29 2013-12-04 东润环能(北京)科技有限公司 Wind farm centralized control system
CN108632266A (en) * 2018-04-27 2018-10-09 华北电力大学 A kind of power distribution communication network security situational awareness method
US20200285952A1 (en) * 2019-03-08 2020-09-10 International Business Machines Corporation Quantifying Vulnerabilities of Deep Learning Computing Systems to Adversarial Perturbations
CN110717665A (en) * 2019-09-30 2020-01-21 国家电网有限公司 System and method for fault identification and trend analysis based on scheduling control system
CN111290913A (en) * 2020-02-04 2020-06-16 复旦大学 Fault location visualization system and method based on operation and maintenance data prediction
CN111654489A (en) * 2020-05-27 2020-09-11 杭州迪普科技股份有限公司 Network security situation sensing method, device, equipment and storage medium
CN111885040A (en) * 2020-07-17 2020-11-03 中国人民解放军战略支援部队信息工程大学 Distributed network situation perception method, system, server and node equipment

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
周凯 等: "基于大数据技术的智能电网态势感知分析", 《电器与能效管理技术》 *
张涛: "基于网络流量的电器状态监测系统研究与应用", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
杨胜春: "基于态势感知的电网自动智能调度架构及关键技术", 《电网技术》 *
韩利祥: "铁路综合视频监控系统防入侵监测技术研究", 《铁路通信信号工程技术》 *
韩盟 等: "北京电网自动化全息智能运行管控体系建设研究", 《供用电》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113239627A (en) * 2021-05-31 2021-08-10 南京乾鑫电器设备有限公司 Distributed intelligent monitoring method and device

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