CN108549946A - A kind of plant maintenance and maintenance artificial intelligence supervisory systems and method - Google Patents
A kind of plant maintenance and maintenance artificial intelligence supervisory systems and method Download PDFInfo
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- CN108549946A CN108549946A CN201810316080.XA CN201810316080A CN108549946A CN 108549946 A CN108549946 A CN 108549946A CN 201810316080 A CN201810316080 A CN 201810316080A CN 108549946 A CN108549946 A CN 108549946A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 138
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 14
- 230000008569 process Effects 0.000 claims abstract description 19
- 230000005021 gait Effects 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 230000003542 behavioural effect Effects 0.000 claims abstract description 8
- 230000001066 destructive effect Effects 0.000 claims description 2
- 238000010223 real-time analysis Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
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- 230000007246 mechanism Effects 0.000 description 1
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- 238000002360 preparation method Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
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- G—PHYSICS
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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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- G06Q10/20—Administration of product repair or maintenance
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
- G06V40/25—Recognition of walking or running movements, e.g. gait recognition
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Abstract
The invention discloses a kind of plant maintenances and maintenance artificial intelligence supervisory systems and method.The method includes following characteristics:The face image for the maintenance people that authentication module is captured based on video acquisition module carries out recognition of face and authentication, and this process is random in maintenance operates overall process, repeatedly carries out;Operation identification module carries out Gait Recognition and behavioural analysis to the video image that the video acquisition module captures in real time, when detecting that maintenance people does not carry out maintenance operation appropriate, alarm module sends out alarm signal immediately, and uploads backstage in time;Maintenance operate after, system upload automatically the identity information of maintenance people, maintenance operation the starting and ending time.The present invention can prevent plant maintenance and maintenance record fraud problem, improve maintenance quality and efficiency, substantially reduce the management cost of maintenance.
Description
Technical field
The invention belongs to artificial intelligence and field of video monitoring more particularly to a kind of plant maintenance and maintenance artificial intelligence
Supervisory systems and method.
Background technology
As social public security event increasingly takes place frequently, the maintenance issue of communal facility is also increasingly closed in various circles of society
Note.There are larger problems in terms of daily maintenance and maintenance for existing communal facility, often occur that maintaining flow is lack of standardization, sets
Standby not carry out the problems such as maintenance, plant maintenance and maintenance record are faked on time, this is to the safe and reliable, stable of equipment
Operation brings great challenge.
It was verified that manpower enforcement mechanisms have been difficult to realize effective supervision to plant maintenance and maintenance work.Therefore,
People expect that the technical force that constantly reforms can bring new change to the maintenance of equipment, by the means of technology come
Realize effective, the reliable supervision that work equipment maintenance, thoroughly solve plant maintenance it is difficult with maintenance monitoring, easily fraud and
The problems such as labor management is of high cost.
Invention content
To overcome existing equipment maintenance monitoring system to be not easy to supervise, maintenance record is easily faked and artificial pipe
Three classes problem of high cost is managed, also for the quality and efficiency for effectively improving plant maintenance and maintenance, the present invention provides a kind of energy
It enough accurately identifies, monitor in real time, the plant maintenance of Real-time Feedback and maintenance artificial intelligence supervisory systems and method.
The present invention innovatively introduces full automatic artificial intelligence real-time face identification, Gait Recognition, behavioral analysis technology,
Face, gait and the behavior video image of the plant maintenance captured to video acquisition module and maintenance people are maintained and maintain
The video image at equipment position is identificated and evaluated in real time, irregularly, repeatedly carries out body to plant maintenance and the identity of maintenance people
Part verification, and alarm signal is sent out by alarm module in real time, and alarm signal is uploaded to backstage in time;In plant maintenance and guarantor
After the completion of supporting operation, the identity information of automatic uploading device maintenance people, maintenance operation starting and ending when
Between to backstage, prevent plant maintenance and maintenance record fraud problem to reach, improve maintenance quality and efficiency, significantly
Reduce the purpose of the management cost of maintenance.
The method of the invention include video acquisition module, authentication module, operation identification module, alarm module and with
Lower feature:
1)The face image for the maintenance people that authentication module is captured based on video acquisition module carries out recognition of face
And authentication, and this process is random in maintenance operates overall process, repeatedly carries out;
2)Operation identification module carries out Gait Recognition and behavior point to the video image that the video acquisition module captures in real time
Analysis, and when detecting that maintenance people does not carry out maintenance operation appropriate, send out alarm immediately by alarm module
Signal, and backstage is uploaded in time;
3)After maintenance operates, system uploads the identity information of maintenance people, maintenance operation automatically
The starting and ending time.
The feature 1)In, the recognition of face is random, the repeatedly progress in maintenance operates overall process, in order to avoid
It substitutes during maintenance.
The feature 2)In, the video image to maintenance people carries out Gait Recognition and behavioural analysis, be for
Differentiation maintenance people is carrying out maintaining really, and does not have destructive behavior.
Steps are as follows for the whole realization of system of the present invention:
1)Video acquisition module captures the face image of plant maintenance and maintenance personnel;
2)Face image of the authentication module based on the maintenance people captured carries out recognition of face, complete to safeguard with
Maintain the authentication of people;
3)After the identity of maintenance personnel is by verification, the video acquisition module persistently captures the dimension of maintenance people
Shield and maintenance operating process video image;
4)Operate identification module based on the maintenance operating process video image received, in real time to maintenance people into
Row Gait Recognition and behavioural analysis;
5)Identification module is operated when detecting that maintenance people does not carry out maintenance operation, is sent out immediately by alarm module
Go out alarm signal, and uploads backstage in time;
6)Before plant maintenance is completed with maintenance operation, if having arrived authentication module random start moment, authentication mould
Block will be again started up, and repeatedly carry out authentication to the operator for currently carrying out plant maintenance and maintenance;
7)When plant maintenance with maintenance operation complete when, system automatically by the identity information of maintenance people, the operating time,
Point, process record and maintenance operation assessment result are uploaded to backstage.
Advantage is the present invention compared with prior art:
1)By before operation in operating process, it is random, repeatedly the biological characteristic of plant maintenance and maintenance people is acquired,
Identification and verification can confirm whether practical operation people is specified operator, avoid going on duty without relative certificate or unapproved row of taking post
For;
2)By automatically recording startup operation and the end operation time of the practical operation of maintenance people, backstage is uploaded in time
Storage can prevent prevention device maintenance behaviour along with authentication is carried out to plant maintenance and maintenance people at random, repeatedly
It notes down imitation behavior;
3)By carrying out Gait Recognition and behavioural analysis to plant maintenance and the overall process operation of maintenance people, and recognizing equipment
Maintenance people does not carry out maintenance operation appropriate, alarm signal is sent out immediately, and upload backstage in time, to carry
The efficiency and quality of high plant maintenance and maintenance;
4)By using full automatic artificial intelligence real-time face identification, Gait Recognition, behavioral analysis technology, it is possible to provide to equipment
The round-the-clock stabilization of maintenance process, reliable supervision, can substantially reduce the labor management cost of plant maintenance and maintenance.
Description of the drawings
Fig. 1 is the operational process flow chart of a kind of plant maintenance of the present invention and maintenance artificial intelligence supervisory systems.
Fig. 2 is the system structure diagram of elevator maintenance of the embodiment of the present invention and maintenance artificial intelligence supervisory systems.
Fig. 3 is the operational process flow chart of elevator maintenance of the embodiment of the present invention and maintenance artificial intelligence supervisory systems.
Specific implementation mode
The technical solution in the present invention and embodiment is carried out below in conjunction with attached drawing of the embodiment of the present invention 2 and Fig. 3 clear, complete
Site preparation describes, it is clear that described embodiment is only one embodiment of the application, and not all embodiment.
If Fig. 2 is the system structure diagram of elevator maintenance of the embodiment of the present invention and maintenance artificial intelligence supervisory systems.Its
In, supervision front end system includes video acquisition module, authentication module, operation identification module and alarm module, supervises front end
System is attached with supervision backstage by Wi-Fi/4G networks.
Such as the operational process flow that Fig. 3 is the elevator maintenance and maintenance artificial intelligence supervisory systems in the embodiment of the present invention
Figure.It is as follows:
Step 301, video acquisition module captures the face image of elevator maintenance and maintenance personnel;
Step 302, face image of the authentication module based on the elevator maintenance captured and maintenance people carries out recognition of face, complete
The authentication of pairs of elevator maintenance and maintenance people;
Step 303, after the identity of elevator maintenance and maintenance personnel are by verification, video acquisition module persistently capture elevator maintenance with
Maintain the maintenance operating process video image of people;
Step 304, operation identification module is based on the elevator maintenance received and maintenance operating process video image, in real time to elevator
Maintenance people carries out Gait Recognition and behavioural analysis;
Step 305, operation identification module is when detecting that elevator maintenance does not carry out maintenance operation with maintenance people, by alerting
Module sends out alarm signal immediately, and uploads supervision backstage in time;
Step 306, before the maintenance of elevator operation is completed, if arrived accidental validation identity, authentication
Module will be again started up, and repeatedly carry out authentication to the operator for currently carrying out elevator maintenance and maintenance;
Step 307, when the maintenance of elevator, which operates, to be completed, system automatically believes elevator maintenance and the identity of maintenance people
Breath, operating time, place, process record and maintenance operation assessment result are uploaded to supervision backstage.
Non-elaborated part of the present invention belongs to techniques well known.
It should be noted that the foregoing is merely the preferable case study on implementation of the present invention, can not therefore be considered
Limitation to the scope of patent protection of the present invention, in all equivalent improvements and modifications for not departing from core of the invention thought,
It belongs to the scope of protection of the present invention.
Claims (3)
1. the invention discloses a kind of plant maintenances and maintenance artificial intelligence supervisory systems and method, it is characterised in that:The side
Method includes video acquisition module, authentication module, operation identification module, alarm module and following characteristics:
1)The face image for the maintenance people that authentication module is captured based on video acquisition module carries out recognition of face
And authentication, and this process is random in maintenance operates overall process, repeatedly carries out;
2)Operation identification module carries out Gait Recognition and behavior point to the video image that the video acquisition module captures in real time
Analysis, when detecting that maintenance people does not carry out maintenance operation appropriate, alarm module sends out alarm signal immediately,
And backstage is uploaded in time;
3)After maintenance operates, system uploads the identity information of maintenance people, maintenance operation automatically
The starting and ending time.
2. system according to claim 1 and method, it is characterised in that:The feature 1)In, the recognition of face be
Maintenance operates random, repeatedly progress in overall process, in order to avoid substitute during maintenance.
3. system according to claim 1 and method, it is characterised in that:The feature 2)In, it is described to maintenance
The video image of people carries out Gait Recognition and behavioural analysis, be in order to differentiate that maintenance people is carrying out maintaining really,
And there is no destructive behavior.
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CN201810316080.XA CN108549946A (en) | 2018-04-10 | 2018-04-10 | A kind of plant maintenance and maintenance artificial intelligence supervisory systems and method |
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CN201810316080.XA CN108549946A (en) | 2018-04-10 | 2018-04-10 | A kind of plant maintenance and maintenance artificial intelligence supervisory systems and method |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110110703A (en) * | 2019-05-21 | 2019-08-09 | 银河水滴科技(北京)有限公司 | Gait feature acquisition system, method and recongnition of objects method, apparatus |
CN111815915A (en) * | 2020-06-18 | 2020-10-23 | 宾麦供水设备股份有限公司 | Intelligent pump room monitoring method and system |
CN112506091A (en) * | 2020-10-27 | 2021-03-16 | 上海蓝精灵科技有限公司 | Engine after-sale maintenance intelligent monitoring system |
WO2023107065A1 (en) * | 2021-12-06 | 2023-06-15 | Bartin Üni̇versi̇tesi̇ | Intelligent system that detects suspects with gait analysis and facial recognition hybrid model |
EP4321465A3 (en) * | 2020-05-26 | 2024-03-27 | Otis Elevator Company | Machine learning based human activity detection and classification in first and third person videos |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110110703A (en) * | 2019-05-21 | 2019-08-09 | 银河水滴科技(北京)有限公司 | Gait feature acquisition system, method and recongnition of objects method, apparatus |
EP4321465A3 (en) * | 2020-05-26 | 2024-03-27 | Otis Elevator Company | Machine learning based human activity detection and classification in first and third person videos |
CN111815915A (en) * | 2020-06-18 | 2020-10-23 | 宾麦供水设备股份有限公司 | Intelligent pump room monitoring method and system |
CN111815915B (en) * | 2020-06-18 | 2021-07-30 | 宾麦供水设备股份有限公司 | Intelligent pump room monitoring method and system |
CN112506091A (en) * | 2020-10-27 | 2021-03-16 | 上海蓝精灵科技有限公司 | Engine after-sale maintenance intelligent monitoring system |
WO2023107065A1 (en) * | 2021-12-06 | 2023-06-15 | Bartin Üni̇versi̇tesi̇ | Intelligent system that detects suspects with gait analysis and facial recognition hybrid model |
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