CN111126217A - Intelligent operation and maintenance management system for power transmission line based on intelligent identification - Google Patents
Intelligent operation and maintenance management system for power transmission line based on intelligent identification Download PDFInfo
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- CN111126217A CN111126217A CN201911286646.XA CN201911286646A CN111126217A CN 111126217 A CN111126217 A CN 111126217A CN 201911286646 A CN201911286646 A CN 201911286646A CN 111126217 A CN111126217 A CN 111126217A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/284—Relational databases
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention discloses an intelligent operation and maintenance management system for a power transmission line based on intelligent identification, which belongs to the field of power transmission line maintenance and comprises the following steps: a. the image intelligent recognition server analyzes and recognizes the on-site collected images, and stores the classified marks into a database alarm table; b. inquiring a database alarm table at regular time, and prompting the current unexamined alarm picture information in a popup window in real time; c. the on-line decision automatically identifies whether the early warning picture is determined to be a warning or not, and carries out corresponding approval processing; d. and issuing a patrol task aiming at the hidden danger site, carrying out site patrol and hidden danger investigation, and recording the site hidden danger condition into the system. The invention actively identifies the hidden danger information in the on-site collected pictures, and carries out classified marking storage on the identification result, the foreground page can inquire various hidden danger pictures according to conditions, meanwhile, the pictures which are intelligently identified as early warning are intensively displayed on the foreground page in a popup window mode and are provided with warning sounds, thereby facilitating the timely examination and approval processing of the patrolmen.
Description
Technical Field
The invention belongs to the field of power transmission line maintenance, and particularly relates to a power transmission line intelligent operation and maintenance management system based on intelligent identification.
Background
The traditional operation and maintenance mode usually needs to invest a large amount of human resources to carry out operation, maintenance, electricity protection and other work in a centralized mode, the power grid is rapidly developed at present, the professional human resources are increasingly in shortage, and the external operation and maintenance environment is increasingly severe, the contradiction between the original operation and maintenance mode and the rapidly-increased power grid scale is increasingly prominent, and the operation and maintenance effect needs to be greatly improved. Even if an online monitoring system is generally introduced into the national power grid at present, the online monitoring system can replace manual work to realize field inspection, the problems of disordered and dispersed collected data and lack of uniform analysis and processing still exist, and particularly, the most important hidden danger management aspect brings great labor burden.
In summary, how to provide an efficient and reliable intelligent operation and maintenance management system for a power transmission line, which can automatically identify and classify site hidden dangers, generate full-life-cycle management of the hidden dangers, and improve the working efficiency and the operation and maintenance management level of operation and maintenance personnel is one of the problems to be solved by the technical personnel in the field at present.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an intelligent operation and maintenance management system for a power transmission line based on intelligent identification, which actively identifies hidden danger information in a field acquisition picture by applying an image intelligent identification technology based on a deep learning algorithm in the field of artificial intelligence, carries out classified marking and storage on an identification result, can inquire various hidden danger pictures according to conditions by a foreground page, and simultaneously displays the pictures identified as early warning intelligently in a popup window manner in a centralized manner, and is provided with warning sound, so that patrolmen can conveniently examine and approve the pictures in time.
The technical problem to be solved by the invention is realized by the following technical scheme: the utility model provides a transmission line intelligence operation and maintenance management system based on intelligent identification, includes the following steps:
a. the image intelligent recognition server analyzes and recognizes the on-site collected images, and stores the classified marks into a database alarm table;
b. inquiring a database alarm table at regular time, and prompting the current unexamined alarm picture information in a popup window in real time;
c. the on-line decision automatically identifies whether the early warning picture is determined to be a warning or not, and carries out corresponding approval processing;
d. and issuing a patrol task aiming at the hidden danger site, carrying out site patrol and hidden danger investigation, and recording the site hidden danger condition into the system.
Preferably, the step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: and analyzing the picture, inserting a piece of data into the database alarm table when hidden danger information is identified, and classifying and marking by using a configflag field when the data is inserted.
Preferably, the confirmFlag field does not store a value when the picture is identified as a normal early warning picture; identifying a configflag field stored value 3 when the hidden danger information is outside the defined area; in a pause alarm period, identifying a consistent flag field storage value 4 in a hidden danger area; judging that the false alarm confirmFlag field storage value is 5 when the false alarm table information is superposed; the difference between the current time and the picture snapshot time exceeds two hours and the field storage value is 6; and when the judged hidden danger type is only the tower crane, the storage value of the confirmFlag field is 7.
Preferably, step b comprises the steps of:
b 1: inquiring early warning information with a comfirmFlag field of NULL in the database once at regular time of 60 s;
b 2: prompting is carried out on a foreground page in a pop-up window mode, and warning sounds are matched to remind patrolmen.
Preferably, step c comprises the steps of:
c 1: the patrol personnel checks and approves the popup prompt early warning information one by one, confirms that the popup is an alarm and needs to be pushed to the operation and maintenance personnel for carrying out 'alarm pushing' approval operation of mobile phone WeChat, and sets a confirmFlag field of a database alarm table to be 2; confirming that the alarm is the alarm but the pushing is not needed to carry out the examination and approval operation of 'alarm not pushed', and setting the confirmFlag field of the alarm table of the database to be 1; confirming that the picture with the false alarm is subjected to 'false alarm' examination and approval operation, and setting a confirmFlag field of a database alarm table to be 0;
c 2: all the hidden danger identification records can be classified and inquired on a foreground page, and according to the examination and approval result, the hidden danger identification records can be respectively inquired according to 'alarm push', 'alarm not push' and 'false alarm'; according to the processing result, the system can be respectively inquired according to the 'alarm outside the area', 'pause alarm', 'error alarm for identification', 'delay alarm' and 'tower crane alarm'.
Preferably, step d comprises the steps of:
d 1: aiming at the field condition of the hidden trouble line, a patrol task is formulated on a foreground page of the system and sent to a mobile phone APP of a patrol worker;
d 2: the patrol personnel receives the tasks at the mobile phone APP end and starts to execute the tasks, and the hidden danger information in the patrol process can be directly input into the system through the mobile phone APP end on site;
d 3: the GPS is adopted to position and monitor the in-place execution condition of the patrolman, and a patrolman track is formed on a foreground page, so that management of managers is facilitated;
d 4: the hidden danger information can be input to be modified, supplemented and perfected at any time according to the maintenance condition until the maintenance of the hidden danger point is completed, so that a set of complete hidden danger full life cycle management is formed.
Preferably, manual decision-making can be carried out in advance through patrolmen, dangerous areas and non-dangerous areas in the shooting scene of the equipment are judged, the dangerous areas are marked and stored, the situation that hidden dangers appear in the dangerous areas is identified, then warning is carried out, and otherwise warning is not carried out.
Preferably, if the patrol personnel observe and judge that the shooting hidden danger of the equipment does not threaten the operation safety of the regional power transmission line for many times and the hidden danger region does not change within a certain time, the equipment is set to suspend alarming, the same hidden danger does not appear within the alarming period again, and the hidden danger region changes or the time exceeds the alarming period to give an alarm again.
If the identification information is not the dangerous hidden danger information through manual decision of the inspection personnel and is processed into the false alarm, the device does not alarm when the picture taken by the device identifies the hidden danger area, and the hidden danger area changes and then alarms.
Preferably, when the image recognition service judges that the current time is two hours later than the picture capturing time, no alarm is given.
The invention has the beneficial effects that:
(1) a set of intelligent operation and maintenance management process of the power transmission line is formed from the start of field picture acquisition to the end of hidden danger treatment, and the whole process realizes the full life cycle management of the hidden danger in an informationized and electronized mode.
(2) According to experience and actual use requirements, image recognition logic is improved, if the recognized hidden danger type only contains a tower crane, window popping early warning is not carried out, or if the equipment is set with pause warning, early warning prompting is not carried out on the same hidden danger coordinate in a pause warning period, and the like, so that the system intelligence degree is improved, and the workload of patrolling personnel is reduced.
Drawings
FIG. 1 is a block flow diagram of the present invention.
Detailed Description
Example 1:
with reference to the drawings in the specification, the intelligent operation and maintenance management system for the power transmission line based on intelligent identification in the embodiment includes the following steps:
a. acquiring a field picture, actively carrying out intelligent image analysis on the field picture, identifying hidden danger types and storing the hidden danger types into a database alarm table;
step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: and analyzing the picture, when the hidden danger information is identified, identifying the picture as a normal early warning picture after all logic comparison, inserting a piece of data into the database warning list, wherein the non-stored value of the confirmFlag field is NULL.
b. Inquiring a database alarm table regularly, and prompting current unoperated and approved normal early warning picture information in a popup window in real time, namely, the alarm table data with a confirm flag field being NULL;
c. monitoring room patrolmen make an on-line decision to automatically identify whether the early warning picture is determined to be a warning or not and carry out corresponding approval treatment;
d. and issuing a patrol task aiming at the hidden danger site, carrying out site patrol and hidden danger investigation, and recording the site hidden danger condition into the system.
Example 2
The patrol personnel judges the dangerous area in the shooting scene in advance, defines the alarm area of the picture shot by the equipment, and stores a piece of data including the equipment number and the alarm area coordinate in the alarm area table of the database.
a. Acquiring a field picture, actively carrying out intelligent image analysis on the field picture, identifying hidden danger types and storing the hidden danger types into a database alarm table;
step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: and analyzing the picture, inquiring the hidden danger area table to have the equipment area planning record when the hidden danger information is identified, and inserting a piece of data into the database alarm table if the hidden danger area is not in the range of the planning area by comparison and identification, wherein the confirm flag field stores a value 3.
b. And inquiring the database alarm table regularly, and popping up a window in real time to prompt the current unapproved normal early warning picture information, namely, the alarm table data with the confirm flag field being NULL, so that the data does not pop up the window.
Example 3
The picture shot by the equipment is used as early warning information for popup prompt, the potential hazard is decided by inspection personnel and cannot threaten the operation safety of the power transmission line at present, and the situation cannot change within a period of time, so that if the equipment is set to alarm pause, a piece of data is inserted into a database alarm period table and stored in picture snapshot time, a potential hazard region coordinate and a pause alarm period.
a. Acquiring a field picture, actively carrying out intelligent image analysis on the field picture, identifying hidden danger types and storing the hidden danger types into a database alarm table;
step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: analyzing the picture, inquiring the alarm period table to have the alarm pause record of the equipment when hidden danger information is identified, comparing the current time in the alarm pause period and the hidden danger area coordinates are the same, inserting a piece of data into the database alarm table, and storing a value 4 in a confirm flag field.
b. And inquiring the database alarm table regularly, and popping up a window in real time to prompt the current unapproved normal early warning picture information, namely, the alarm table data with the confirm flag field being NULL, so that the data does not pop up the window.
Example 4
The picture shot by the equipment is used as early warning information for popup prompt, and the inspection personnel decides that the identification information is not dangerous hidden danger information and stores the equipment number and the area coordinate of the hidden danger into a false alarm table.
a. Acquiring a field picture, actively carrying out intelligent image analysis on the field picture, identifying hidden danger types and storing the hidden danger types into a database alarm table;
step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: and analyzing the picture, inquiring the error alarm table to have the error alarm record of the equipment when the hidden danger information is identified, and inserting a piece of data into the database alarm table if the comparison and identification of the hidden danger area coordinates are the same, wherein the confirmFlag field stores a value 5. b. And inquiring the database alarm table regularly, and popping up a window in real time to prompt the current unapproved normal early warning picture information, namely, the alarm table data with the confirm flag field being NULL, so that the data does not pop up the window.
Also, although the embodiments of the present invention and the accompanying drawings are disclosed for illustrative purposes, those skilled in the art will appreciate that: various substitutions, changes and modifications are possible without departing from the spirit and scope of the invention and the appended claims, and therefore the scope of the invention is not limited to the disclosure of the embodiments and the accompanying drawings.
Claims (9)
1. The utility model provides a transmission line intelligence operation and maintenance management system based on intelligent recognition which characterized in that includes following step:
a. the image intelligent recognition server analyzes and recognizes the on-site collected images, and stores the classified marks into a database alarm table;
b. inquiring a database alarm table at regular time, and prompting the current unexamined alarm picture information in a popup window in real time;
c. the on-line decision automatically identifies whether the early warning picture is determined to be a warning or not, and carries out corresponding approval processing;
d. and issuing a patrol task aiming at the hidden danger site, carrying out site patrol and hidden danger investigation, and recording the site hidden danger condition into the system.
2. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, wherein the step a comprises the following steps:
a 1: acquiring a field acquisition picture;
a 2: and analyzing the picture, inserting a piece of data into the database alarm table when hidden danger information is identified, and classifying and marking by using a configflag field when the data is inserted.
3. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 2, wherein the confirmFlag field does not store a value when the picture is identified as a normal early warning picture; identifying a configflag field stored value 3 when the hidden danger information is outside the defined area; in a pause alarm period, identifying a consistent flag field storage value 4 in a hidden danger area; judging that the false alarm confirmFlag field storage value is 5 when the false alarm table information is superposed; the difference between the current time and the picture snapshot time exceeds two hours and the field storage value is 6; and when the judged hidden danger type is only the tower crane, the storage value of the confirmFlag field is 7.
4. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, wherein the step b comprises the following steps:
b 1: inquiring early warning information with a comfirmFlag field of NULL in the database once at regular time of 60 s;
b 2: prompting is carried out on a foreground page in a pop-up window mode, and warning sounds are matched to remind patrolmen.
5. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, wherein the step c comprises the following steps:
c 1: the patrol personnel checks and approves the popup prompt early warning information one by one, confirms that the popup is an alarm and needs to be pushed to the operation and maintenance personnel for carrying out 'alarm pushing' approval operation of mobile phone WeChat, and sets a confirmFlag field of a database alarm table to be 2; confirming that the alarm is the alarm but the pushing is not needed to carry out the examination and approval operation of 'alarm not pushed', and setting the confirmFlag field of the alarm table of the database to be 1; confirming that the picture with the false alarm is subjected to 'false alarm' examination and approval operation, and setting a confirmFlag field of a database alarm table to be 0;
c 2: all the hidden danger identification records can be classified and inquired on a foreground page, and according to the examination and approval result, the hidden danger identification records can be respectively inquired according to 'alarm push', 'alarm not push' and 'false alarm'; according to the processing result, the system can be respectively inquired according to the 'alarm outside the area', 'pause alarm', 'error alarm for identification', 'delay alarm' and 'tower crane alarm'.
6. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, wherein the step d comprises the following steps:
d 1: aiming at the field condition of the hidden trouble line, a patrol task is formulated on a foreground page of the system and sent to a mobile phone APP of a patrol worker;
d 2: the patrol personnel receives the tasks at the mobile phone APP end and starts to execute the tasks, and the hidden danger information in the patrol process can be directly input into the system through the mobile phone APP end on site;
d 3: the GPS is adopted to position and monitor the in-place execution condition of the patrolman, and a patrolman track is formed on a foreground page, so that management of managers is facilitated;
d 4: the hidden danger information can be input to be modified, supplemented and perfected at any time according to the maintenance condition until the maintenance of the hidden danger point is completed, so that a set of complete hidden danger full life cycle management is formed.
7. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, is characterized in that manual decision making can be performed in advance by inspection personnel, dangerous areas and non-dangerous areas in the scene shot by the equipment are judged, the dangerous areas are marked and stored, the identification of hidden danger in the dangerous areas is realized, and then alarm is performed, otherwise, no alarm is performed.
8. The intelligent operation and maintenance management system for power transmission lines based on intelligent identification as claimed in claim 7,
if the inspection personnel observe and judge that the shooting hidden danger of the equipment does not threaten the operation safety of the regional power transmission line for many times and the hidden danger region does not change within a certain time, the equipment is set to suspend alarming, the same hidden danger does not appear within the alarming period again, and the hidden danger region changes or the time exceeds the alarming period to give an alarm again.
If the identification information is not the dangerous hidden danger information through manual decision of the inspection personnel and is processed into the false alarm, the device does not alarm when the picture taken by the device identifies the hidden danger area, and the hidden danger area changes and then alarms.
9. The intelligent operation and maintenance management system for the power transmission line based on the intelligent identification as claimed in claim 1, wherein no alarm is given when the image identification service judges that the current time is two hours later than the picture capturing time.
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| CN201911286646.XA CN111126217A (en) | 2019-12-14 | 2019-12-14 | Intelligent operation and maintenance management system for power transmission line based on intelligent identification |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695506A (en) * | 2020-06-11 | 2020-09-22 | 国网山东省电力公司电力科学研究院 | Wind-induced foreign matter short-circuit fault early warning method and system for power transmission line |
| CN112132065A (en) * | 2020-09-25 | 2020-12-25 | 智洋创新科技股份有限公司 | Alarm strategy method based on power transmission line channel visual continuous alarm |
| CN112347057A (en) * | 2020-10-19 | 2021-02-09 | 云南电网有限责任公司 | Processing method for abnormal alarm analysis and handling of power dispatching information system |
| CN113192222A (en) * | 2021-04-14 | 2021-07-30 | 山东理工大学 | Equipment-level alarm strategy method for power line visual alarm |
| CN113900755A (en) * | 2021-10-11 | 2022-01-07 | 重庆紫光华山智安科技有限公司 | Alarm page processing method and device, computer equipment and readable storage medium |
| CN114004519A (en) * | 2021-11-05 | 2022-02-01 | 国网山东省电力公司青岛供电公司 | Power distribution visualization system and method |
| CN115879084A (en) * | 2023-02-28 | 2023-03-31 | 天津辰航安全技术服务有限公司 | Potential safety hazard simulation consultation platform based on image analysis |
-
2019
- 2019-12-14 CN CN201911286646.XA patent/CN111126217A/en not_active Withdrawn
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111695506A (en) * | 2020-06-11 | 2020-09-22 | 国网山东省电力公司电力科学研究院 | Wind-induced foreign matter short-circuit fault early warning method and system for power transmission line |
| CN111695506B (en) * | 2020-06-11 | 2023-04-25 | 国网山东省电力公司电力科学研究院 | Early warning method and system for wind-induced foreign matter short-circuit fault of transmission line |
| CN112132065A (en) * | 2020-09-25 | 2020-12-25 | 智洋创新科技股份有限公司 | Alarm strategy method based on power transmission line channel visual continuous alarm |
| CN112132065B (en) * | 2020-09-25 | 2021-08-20 | 智洋创新科技股份有限公司 | Alarm strategy method based on power transmission line channel visual continuous alarm |
| CN112347057A (en) * | 2020-10-19 | 2021-02-09 | 云南电网有限责任公司 | Processing method for abnormal alarm analysis and handling of power dispatching information system |
| CN113192222A (en) * | 2021-04-14 | 2021-07-30 | 山东理工大学 | Equipment-level alarm strategy method for power line visual alarm |
| CN113900755A (en) * | 2021-10-11 | 2022-01-07 | 重庆紫光华山智安科技有限公司 | Alarm page processing method and device, computer equipment and readable storage medium |
| CN113900755B (en) * | 2021-10-11 | 2024-04-16 | 重庆紫光华山智安科技有限公司 | Alarm page processing method and device, computer equipment and readable storage medium |
| CN114004519A (en) * | 2021-11-05 | 2022-02-01 | 国网山东省电力公司青岛供电公司 | Power distribution visualization system and method |
| CN115879084A (en) * | 2023-02-28 | 2023-03-31 | 天津辰航安全技术服务有限公司 | Potential safety hazard simulation consultation platform based on image analysis |
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Application publication date: 20200508 |