CN114565884A - Operation violation identification method based on artificial intelligence and big data technology - Google Patents
Operation violation identification method based on artificial intelligence and big data technology Download PDFInfo
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- CN114565884A CN114565884A CN202111388845.9A CN202111388845A CN114565884A CN 114565884 A CN114565884 A CN 114565884A CN 202111388845 A CN202111388845 A CN 202111388845A CN 114565884 A CN114565884 A CN 114565884A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 12
- 238000005516 engineering process Methods 0.000 title claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 238000007689 inspection Methods 0.000 claims description 23
- 230000009194 climbing Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000004080 punching Methods 0.000 claims description 3
- 238000012797 qualification Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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- G06Q50/265—Personal security, identity or safety
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses an operation violation identification method based on artificial intelligence and big data technology, which is used for monitoring a transformer substation in real time and judging whether an operator exists in an image or not through an image identification algorithm; if the operator exists, shooting the operator through a camera, comparing the operator clothing with the operator clothing recorded on the big data platform, checking whether the operator clothing is standard or not, and if the operator clothing is found to be not standard, sending an alarm; monitoring the operation process of an operator in real time, and extracting a head sample image and an elbow sample image of the operator from image data; comparing the operation process of the operator with the dangerous condition recorded on the big data platform in the operation process, thereby judging whether the human posture of the operator breaks rules and regulations; the invention belongs to the technical field of electric power operation management, and particularly relates to an operation violation identification method based on artificial intelligence and big data technology.
Description
Technical Field
The invention belongs to the technical field of power operation management, and particularly relates to an operation violation identification method based on artificial intelligence and big data technology.
Background
The safety management of the power grid is a system project which is huge, complex and extremely high in theoretical performance and operability. With the development of economic society and the continuous improvement of the living standard of people, the requirements of the whole society on safety, economy and high-quality electricity utilization are higher and higher, the pressure of power grid safety management is higher and higher, and power grid enterprises need to continuously strengthen management, develop innovation and ensure the safety of people, power grids and equipment, thereby providing safe and reliable power guarantee for the development of the economic society.
At present, the management of operating personnel is only through manual operation management and remote manual video monitoring on a transformer substation working site, and an intelligent automatic monitoring mode is not provided. Wherein, the management to the operation personnel mainly includes: the transformer substation working site environment is complex, the distribution of operators is dispersed, and it is difficult to ensure that all operators wear safety helmets, two or more operators are detained in the working area in the whole process, so that the safety of the operators is difficult to be guaranteed.
Disclosure of Invention
In order to solve the problems, the invention provides a method for identifying the operation violation based on artificial intelligence and big data technology.
In order to realize the functions, the technical scheme adopted by the invention is as follows: a job violation identification method based on artificial intelligence and big data technology comprises the following steps:
(1) transmitting the regulations which need attention in the transformer substation operation to a big data platform, and updating and revising in time according to the latest regulations;
(2) monitoring the transformer substation in real time, and judging whether an operator exists in an image through an image recognition algorithm;
(3) if an operator exists, shooting the operator through a camera, comparing the operator clothing with the operator clothing recorded on the big data platform, checking whether the operator clothing is standard, if the operator clothing is found to be not standard, sending an alarm, and meanwhile, the operator can have 3 chances of comparing the clothing, if the same operator is not qualified in 3 times of clothing comparison, the operator qualification on the same day is cancelled, the operator is not allowed to operate, and the upper manager can perform unlocking processing;
(4) monitoring the operation process of an operator in real time, and extracting a head sample image and an elbow sample image of the operator from image data; comparing the operation process of the operator with the dangerous condition recorded on the big data platform in the operation process, thereby judging whether the human posture of the operator breaks rules and regulations; if the violation occurs, sending an alarm to process, storing the violation video and transmitting the violation video to the terminal equipment;
(5) after the work of the operator is finished, the operator needs to punch the card, and the card punching condition is recorded.
Wherein, the operation clothing inspection in the step (3) comprises upper body clothing inspection, lower body clothing inspection, shoe inspection and safety helmet inspection.
Further, the operation process check in the step (4) comprises check of a guardian when climbing a high ladder, check of umbrella opening in the movement process and check of whether operation clothes are complete in the operation process.
The invention adopts the structure to obtain the following beneficial effects: the method for identifying the operation violation based on the artificial intelligence and the big data technology can automatically identify whether the power grid operation field is violated in real time, so that the management and control of the personnel in the operation field can be enhanced, and the detection accuracy and efficiency can be improved.
Detailed Description
The technical solutions of the present invention will be described clearly and completely below, and it should be apparent that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships only for the convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The present invention will be described in further detail.
The invention provides a method for identifying operation violation based on artificial intelligence and big data technology, which comprises the following steps:
(1) transmitting the regulations which need attention in the transformer substation operation to a big data platform, and updating and revising in time according to the latest regulations;
(2) monitoring the transformer substation in real time, and judging whether an operator exists in an image through an image recognition algorithm;
(3) if an operator exists, shooting the operator through a camera, comparing the operator clothing with the operator clothing recorded on the big data platform, checking whether the operator clothing is standard, if the operator clothing is found to be not standard, sending an alarm, and meanwhile, the operator can have 3 chances of comparing the clothing, if the same operator is not qualified in 3 times of clothing comparison, the operator qualification on the same day is cancelled, the operator is not allowed to operate, and the upper manager can perform unlocking processing;
(4) monitoring the operation process of an operator in real time, and extracting a head sample image and an elbow sample image of the operator from image data; comparing the operation process of the operator with the dangerous condition recorded on the big data platform in the operation process, thereby judging whether the human posture of the operator breaks rules and regulations; if the violation occurs, sending an alarm to process, storing the violation video and transmitting the violation video to the terminal equipment;
(5) after the work of the operator is finished, the operator needs to punch the card and records the card punching condition.
The operation clothing inspection in the step (3) comprises upper body clothing inspection, lower body clothing inspection, shoe inspection and safety helmet inspection.
The operation process inspection in the step (4) comprises inspection of guardians when climbing a high ladder, inspection of umbrella opening in the movement process and inspection of whether operation clothes are complete or not in the operation process
The present invention and its embodiments have been described above, but the description is not limitative, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (3)
1. A job violation identification method based on artificial intelligence and big data technology comprises the following steps:
(1) transmitting the regulations which need attention in the transformer substation operation to a big data platform, and updating and revising in time according to the latest regulations;
(2) monitoring the transformer substation in real time, and judging whether an operator exists in an image through an image recognition algorithm;
(3) if an operator exists, shooting the operator through a camera, comparing the operator clothing with the operator clothing recorded on the big data platform, checking whether the operator clothing is standard, if the operator clothing is found to be not standard, sending an alarm, and meanwhile, the operator has 3 chances of comparing the clothing, if the same operator is not qualified in 3 times of clothing comparison, the operator qualification on the same day is cancelled, the operator is not allowed to operate, and the upper manager can perform unlocking processing;
(4) monitoring the operation process of an operator in real time, and extracting a head sample image and an elbow sample image of the operator from image data; comparing the operation process of the operator with the dangerous condition recorded on the big data platform in the operation process, thereby judging whether the human posture of the operator breaks rules and regulations; if the violation occurs, sending an alarm to process, storing the violation video and transmitting the violation video to the terminal equipment;
(5) after the work of the operator is finished, the operator needs to punch the card and records the card punching condition.
2. The job violation identification method based on artificial intelligence and big data technology as claimed in claim 1, wherein: the operation clothing inspection in the step (3) comprises upper body clothing inspection, lower body clothing inspection, shoe inspection and safety helmet inspection.
3. The job violation identification method based on artificial intelligence and big data technology as claimed in claim 2, wherein: the operation process inspection in the step (4) comprises inspection of guardians when climbing a high ladder, inspection of umbrella opening in the movement process and inspection of whether operation clothes are complete or not in the operation process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111388845.9A CN114565884A (en) | 2021-11-22 | 2021-11-22 | Operation violation identification method based on artificial intelligence and big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111388845.9A CN114565884A (en) | 2021-11-22 | 2021-11-22 | Operation violation identification method based on artificial intelligence and big data technology |
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| Publication Number | Publication Date |
|---|---|
| CN114565884A true CN114565884A (en) | 2022-05-31 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111388845.9A Pending CN114565884A (en) | 2021-11-22 | 2021-11-22 | Operation violation identification method based on artificial intelligence and big data technology |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115082861A (en) * | 2022-07-06 | 2022-09-20 | 国网江苏省电力有限公司南通市通州区供电分公司 | Personnel identity and safety violation identification method and system |
-
2021
- 2021-11-22 CN CN202111388845.9A patent/CN114565884A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115082861A (en) * | 2022-07-06 | 2022-09-20 | 国网江苏省电力有限公司南通市通州区供电分公司 | Personnel identity and safety violation identification method and system |
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