CN112132065B - Alarm strategy method based on power transmission line channel visual continuous alarm - Google Patents
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Abstract
An alarm strategy method based on the visualized continuous alarm of a transmission line channel comprises the following steps: the method comprises the steps of identifying images collected by visual inspection equipment by using an image analysis model, confirming risks of hidden dangers, judging whether image data trigger continuous alarm or not, carrying out corresponding strategy change according to results and conditions of triggering the continuous alarm of the hidden dangers, and carrying out strategy import by linking equipment. The method and the device automatically perform strategy customization based on the identification result of the image analysis model, the judgment result of the continuous alarm model and the hidden danger risk confirmation result, solve the problems that the number of images is large, no side key points exist, key hidden dangers cannot be confirmed in time and the like when the hidden danger risk confirmation is performed, and improve the intelligent level of operation and inspection of the power transmission line.
Description
Technical Field
The invention discloses an alarm strategy method based on a visual continuous alarm of a transmission line channel, belonging to the technical field of intelligent operation and inspection of transmission lines.
Background
Along with the upgrading of the maintenance technology of the power transmission line, the visual inspection of the power transmission line channel is widely applied, and the automatic identification of the visual image and the marking of hidden danger objects appearing in the image, such as a tower crane, an excavator, smoke, foreign matters and the like, are realized at present. However, due to the requirement for transmission reliability, it is necessary to manually confirm whether the hidden danger may cause practical damage to bodies such as transmission lines, towers, and the like. For a user who deploys a large number of devices, although images without hidden dangers are filtered through an image analysis model, the workload of confirming the hidden dangers of the images with the hidden dangers is still large, relevant strategies are not customized for the important levels of the devices during confirmation of the hidden dangers, and the high-risk hidden dangers are easily not confirmed in time. In addition, in the season with high hidden danger, in order to timely troubleshoot the hidden danger, the image acquisition time intervals of all devices are shortened, and network congestion is caused, so the following processing method exists in the prior art: when suspected hidden danger is found, the shooting frequency is adjusted, the images are continuously shot for multiple times, image analysis is carried out, and alarm is pushed, so that the hidden danger identification rate can be improved, the false alarm is reduced, but the alarm strategy customization is not carried out on the image acquisition equipment, and therefore the workload of confirming the hidden danger risk of the hidden danger image is still huge.
In summary, how to provide an efficient and feasible alarm strategy method, which is used for performing alarm strategy grade division on an image needing hidden danger confirmation to ensure that high-risk hidden dangers can be confirmed first, performing dynamic customized image acquisition time interval adjustment on each device, and providing technical support for intelligent maintenance of a power transmission line is one of the problems to be solved by technical personnel in the field at present.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an alarm strategy method based on the visualized continuous alarm of a transmission line channel. The invention utilizes a continuous alarm model, combines the hidden danger risk confirmation condition to intelligently adjust the alarm strategy of the visual inspection equipment, and adjusts the image snapshot time, the display priority and the like according to different alarm strategies, such as: and (3) although a certain equipment has hidden danger alarm, the hidden danger cannot cause actual harm, the alarm priority of the equipment is reduced, and conversely, if the hidden danger possibly causes actual harm, the alarm priority is increased.
The technical scheme of the invention is as follows:
an alarm strategy method based on the visualized continuous alarm of a transmission line channel is characterized by comprising the following steps:
a. identifying images collected by visual inspection equipment in real time by using an image analysis model;
b. confirming hidden danger risks of the images with hidden dangers;
c. judging the identification result by using a continuous alarm model and determining whether the image data triggers continuous alarm or not;
d. c, if the result obtained in the step c does not trigger hidden danger continuous alarm, the strategy is not changed;
e. c, triggering a certain type of hidden danger continuous alarm by the result obtained in the step b, and if the hidden danger risk in the step b is confirmed to be no risk, setting the visual inspection equipment as a low-priority alarm strategy, and linking the equipment to conduct strategy import;
f. and c, triggering continuous warning of some hidden dangers by the result obtained in the step c, and setting the visual inspection equipment as a high-priority warning strategy and linking the equipment for strategy import if the hidden danger risk in the step b is determined to be dangerous.
According to the invention, the image analysis model in the step a is preferably a model capable of automatically identifying hidden dangers and hidden danger types in the image.
Preferably, the hidden danger risk confirmation in the step b is to manually judge whether the image hidden danger is an actual risk, and after confirmation, update the corresponding field in the hidden danger risk table.
According to the present invention, preferably, the continuous alarm model in step c is a model that can further analyze the recognition result of the image analysis model to determine whether there is a persistent hidden danger alarm.
According to the invention, the strategy of the step d is that the image acquisition time interval of the visual inspection equipment is kept at a fixed time, and the confirmation sequence of the hidden danger risks is unchanged;
the low-priority warning strategy in the step e is to lengthen the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the identified hidden danger risk to a low-risk pending area in the effective time interval, and adjust the strategy to the strategy recorded in the step b after the effective time interval is finished;
the high-priority alarm strategy in the step f is to shorten the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the identified hidden danger risk to a high-risk pending area in the effective time interval, and adjust the strategy to the strategy recorded in the step b after the effective time interval is finished;
the step e and the step f, the strategy importing of the linkage equipment is that:
sending the corresponding image acquisition time interval in the strategy to an equipment end of the visual inspection equipment, and enabling the visual inspection equipment to acquire images according to the specified time interval;
meanwhile, maintaining the attributes of the high-risk and low-risk regions to be handled in the strategy in a hidden danger risk table of the visual inspection equipment unified management platform, and updating an alarmLevel field in the hidden danger risk table:
the corresponding value of the high-priority alarm strategy is 1;
the corresponding value of the low-priority alarm strategy is-1;
and when the effective time period is exceeded and the alarm strategy is reset to be the normal priority, resetting the value of the alarmLevel field in the hidden danger risk table to be 0.
The invention has the following beneficial effects:
the invention can perform customized automatic adjustment on the image acquisition time interval of each device, and avoids the problem of network congestion caused by uniform adjustment of all devices.
The method and the device automatically perform strategy customization based on the identification result of the image analysis model, the judgment result of the continuous alarm model and the hidden danger risk confirmation result, solve the problems that the number of images is large, no side key points exist, key hidden dangers cannot be confirmed in time and the like when the hidden danger risk confirmation is performed, and improve the intelligent level of operation and inspection of the power transmission line.
Drawings
Fig. 1 is a flow diagram of an alarm policy method in the present invention.
Detailed Description
The invention is further described below, but not limited thereto, with reference to the following examples and the accompanying drawings.
Examples 1,
An alarm strategy method based on the visualized continuous alarm of a transmission line channel comprises the following steps:
a. identifying images collected by visual inspection equipment in real time by using an image analysis model;
b. confirming hidden danger risks of the images with hidden dangers;
c. judging the identification result by using a continuous alarm model and determining whether the image data triggers continuous alarm or not;
d. c, if the result obtained in the step c does not trigger hidden danger continuous alarm, the strategy is not changed;
e. c, triggering a certain type of hidden danger continuous alarm by the result obtained in the step b, and if the hidden danger risk in the step b is confirmed to be no risk, setting the visual inspection equipment as a low-priority alarm strategy, and linking the equipment to conduct strategy import;
f. and c, triggering continuous warning of some hidden dangers by the result obtained in the step c, and setting the visual inspection equipment as a high-priority warning strategy and linking the equipment for strategy import if the hidden danger risk in the step b is determined to be dangerous.
The image analysis model in step a is a model capable of automatically identifying hidden dangers and hidden danger types in the image, and the identification result of the model is used in the patent, but the function of the image analysis model is not subjected to right protection.
And c, confirming the hidden danger risk in the step b, namely manually judging whether the image hidden danger is an actual risk, and updating a corresponding field in a hidden danger risk table after confirmation. The method specifically comprises the following steps: after the hidden danger risk is confirmed, the 'confirm time' field is updated to be confirmation time, if the 'confirm flag' field of the actual risk is updated to be '1', and the '0' field of the actual risk is updated to be '0'.
The continuous alarm model in step c is to further analyze the recognition result of the image analysis model to determine whether there is a persistent hidden danger alarm, and the judgment result of the model is used in this patent, but the function of the continuous alarm model is not protected.
Examples 2,
The strategy method according to embodiment 1, wherein the strategy in step d means that the image acquisition time interval of the visual inspection equipment is kept at a fixed time, preferably the default time is 30 minutes, the confirmation sequence of the hidden risks is not changed, and once the hidden risks are identified, the hidden risks are displayed in the medium-risk pending area;
the low-priority warning strategy in the step e is to lengthen the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the hidden danger risks identified in the effective time interval to a low-risk pending area, and adjust the strategy to the strategy recorded in the step b after the effective time interval is over: for example, the image acquisition time interval of the visual inspection equipment is lengthened and adjusted from the original 30 minutes to 2 hours, the hidden danger is identified within 12 hours of the effective time period, the hidden danger risk confirmation is adjusted to the low-risk pending area, and the normal priority alarm strategy is reset after the effective time period is 12 hours, wherein the strategy recorded in the step b is the normal priority alarm strategy;
the high-priority alarm strategy in the step f is to shorten the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the hidden danger risks identified in the effective time interval to a high-risk pending area, and adjust the strategy to the strategy recorded in the step b after the effective time interval is over: for example, the image acquisition time interval of the visual inspection equipment is shortened, the image acquisition time interval is adjusted from the original 30 minutes to 5 minutes, hidden dangers are identified within 12 hours of the effective time period, the hidden danger risk confirmation is adjusted to a high-risk pending area, and the normal priority alarm strategy is reset after the effective time period is 12 hours, wherein the strategy recorded in the step b is the normal priority alarm strategy;
the step e and the step f, the strategy importing of the linkage equipment is that:
sending the corresponding image acquisition time interval in the strategy to an equipment end of the visual inspection equipment, and enabling the visual inspection equipment to acquire images according to the specified time interval;
meanwhile, maintaining the attributes of the high-risk and low-risk regions to be handled in the strategy in a hidden danger risk table of the visual inspection equipment unified management platform, and updating an alarmLevel field in the hidden danger risk table:
the corresponding value of the high-priority alarm strategy is 1;
the corresponding value of the low-priority alarm strategy is-1;
and when the effective time period is exceeded and the alarm strategy is reset to be the normal priority, resetting the value of the alarmLevel field in the hidden danger risk table to be 0.
Application examples 1,
The strategy method described in the embodiments 1 and 2 of the present invention is used for carrying out experiments on practical application scenes:
a visual inspection device with the device ID of 99000843073491 is arranged on the power transmission line at a certain place to continuously acquire images of the power transmission line channel, and the time interval is 30 minutes. The image analysis server can be uploaded to the image after the collection, the image analysis model is utilized to carry out real-time analysis on the image, the hidden danger type identified by the field of 'alarmext' is updated, the image with the identified hidden danger can be pushed to a visual inspection equipment unified management platform to carry out hidden danger risk confirmation, and the corresponding field in the hidden danger risk table is updated after the confirmation: the "configTime" and "configFlag" are updated.
The target is as follows: and adjusting the 99000843073491 equipment alarm strategy according to the image analysis model analysis data, the hidden danger risk confirmation data and the continuous alarm model.
Constraint conditions are as follows: 1. continuous images collected by visual inspection equipment; 2. marking whether the hidden danger exists in the image or not and whether the hidden danger type exists in the image or not by using an image analysis model; 3. confirming data with hidden danger; 4. and judging whether the identification result triggers continuous alarm or not by using the continuous alarm model.
a. Utilizing an image analysis model to identify images collected by a visual inspection device with the device ID of 99000843073491 in real time, and recording an identification result;
b. and c, confirming the hidden danger risk of the image data with hidden danger in the step a, and updating the 'confirmTime' and the 'confirmFlag'.
The data after the steps a and b are completed is as shown above, and only relevant fields are reserved in the application example: wherein pictureID refers to the name of the image, and the rule is "device ID _ picture shooting time. jpg"; the alarmext is a hidden danger type, 2 means a warning for finding a hidden danger of the tower crane, 5 means a warning for finding smoke, and multiple warnings or multiple warnings of the same type may appear in an image; confirm time refers to hidden danger risk confirmation time; confirm flag refers to hidden danger risk confirmation result, and "0" is no actual risk;
c. judging the recognition result of the image analysis model in the step a by using a continuous alarm model, and triggering mechanical continuous alarm by judging the recognition result;
d. and c, triggering a mechanical alarm by the result obtained in the step c, confirming that the hidden danger risk in the step b is not an actual risk, and 99000843073491 the visual inspection equipment meets a low-priority alarm strategy: adjusting the image acquisition time interval strategy to be 2 hours and pushing the image acquisition time interval strategy to an equipment end of the visual inspection equipment; marking 99000843073491 equipment as a low-priority alarm strategy on a visual patrol equipment unified management platform, wherein the failure time is 12 hours, namely the effective time interval (the alarmLevel value is set to be minus 1 ', and the alarmLFTime value is ' 2019-07-1720: 04:45 '); and (4) adjusting images with hidden dangers in images collected by 99000843073491 equipment in the following 12 hours (namely in the effective period) to be displayed in a low-risk to-do area at the unified management platform of the visual patrol equipment.
Triggering mechanical continuous alarm, meeting no actual risk, and adjusting the strategy to 'low priority alarm strategy' ↓
The part bank table data is as shown above.
Application examples 2,
The strategy method described in the embodiments 1 and 2 of the present invention is used for carrying out experiments on practical application scenes:
a power transmission line in a certain place is provided with a visual inspection device with the device ID of 99000843071085, and the adjustment of a 99000843071085 device alarm strategy is completed according to image analysis model analysis data, hidden danger risk confirmation data and a continuous alarm model.
The constraint conditions are the same as in application example 1.
After the steps a and b in the application example 1 are completed, the data are shown as above, and the alarm that the alarmext value is 4 means that the hidden danger of the excavator is found and the alarm is given; configflag refers to the hidden risk confirmation result, 1 is at risk;
judging the recognition result of the image analysis model by using a continuous alarm model, and triggering a mechanical continuous alarm by judging the recognition result;
the obtained result triggers mechanical alarm and the hidden danger risk is confirmed to be at risk, 99000843071085 visual inspection equipment meets the high-priority alarm strategy: adjusting the image acquisition time interval strategy to 5 minutes and pushing the image acquisition time interval strategy to an equipment end of the visual inspection equipment; marking 99000843071085 equipment as a high-priority alarm strategy on a visual patrol equipment unified management platform, wherein the failure time is 12 hours (namely the effective time interval) (the alarmLevel value is set to be 1, and the alarmLFTime value is 2019-06-0118:02:34 "); and adjusting images with hidden dangers in images collected in the 99000843071085 equipment in the following 12 hours to be displayed in a high-risk to-do area on the unified management platform of the visual inspection equipment.
Triggering mechanical continuous alarm, meeting risk, and adjusting the strategy to 'high priority alarm strategy' ↓
The part bank table data is as shown above.
Application examples 3,
The strategy method described in the embodiments 1 and 2 of the present invention is used for carrying out experiments on practical application scenes:
a power transmission line in a certain place is provided with a visual inspection device with the device ID of 99000844091397, and the adjustment of a 99000844091397 device alarm strategy is completed according to image analysis model analysis data, hidden danger risk confirmation data and a continuous alarm model.
The constraint conditions are the same as in application example 1.
After the steps a and b in the application example 1 are completed, the data are shown as above, and the alarm that the alarmext value is 1 indicates that the hidden trouble of the crane is found to be alarmed;
judging the recognition result of the image analysis model by using a continuous alarm model, and judging that the recognition result does not trigger any type of continuous alarm;
based on the above data, it is determined 99000844091397 that the visual inspection equipment satisfies the normal priority alarm policy, and no policy action is performed.
According to the embodiment and the application examples, the intelligent adjustment of the visual inspection equipment alarm strategy is realized by combining the image analysis model identification result and the hidden danger risk confirmation data and utilizing the continuous alarm model. The method can adjust the image snapshot time, the display priority and the like according to different alarm strategies, well solves the problems that when the risk of the hidden image danger is confirmed, the number of images is large, no side key points exist, key hidden dangers cannot be confirmed in time, the time interval of image acquisition of equipment is not customized and the like, and greatly improves the intelligent level of operation and inspection of the power transmission line.
Claims (5)
1. An alarm strategy method based on the visualized continuous alarm of a transmission line channel is characterized by comprising the following steps:
a. identifying images collected by visual inspection equipment in real time by using an image analysis model;
b. confirming hidden danger risks of the images with hidden dangers;
c. judging the identification result by using a continuous alarm model and determining whether the image data triggers continuous alarm or not;
d. c, if the result obtained in the step c does not trigger hidden danger continuous alarm, the strategy is not changed;
e. c, triggering a certain type of hidden danger continuous alarm by the result obtained in the step b, and if the hidden danger risk in the step b is confirmed to be no risk, setting the visual inspection equipment as a low-priority alarm strategy, and linking the equipment to conduct strategy import; the low-priority warning strategy is to lengthen the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the identified hidden danger risk to a low-risk pending area in the effective time interval, and adjust the strategy to the strategy recorded in the step d after the effective time interval is finished;
f. c, triggering continuous warning of some hidden dangers by the result obtained in the step c, and if the hidden danger risk in the step b is determined to be dangerous, setting the visual inspection equipment as a high-priority warning strategy and linking the equipment for strategy import; the high-priority warning strategy is to shorten the image acquisition time interval of the visual inspection equipment, set an effective time interval, adjust the hidden danger risks identified in the effective time interval to a high-risk area to be handled, and adjust the strategy to the strategy recorded in the step d after the effective time interval is finished.
2. The warning strategy method based on the transmission line channel visualization continuous warning of claim 1, characterized in that the image analysis model of step a is a model capable of automatically identifying hidden dangers and hidden danger types existing in the image.
3. The method for the warning strategy based on the visual continuous warning of the power transmission line channel as claimed in claim 1, wherein the hidden danger risk confirmation in the step b is to manually judge whether the image hidden danger is an actual risk, and after confirmation, update the corresponding fields in the hidden danger risk table.
4. The method according to claim 1, wherein the continuous alarm model in step c is a model that can further analyze the recognition result of the image analysis model to determine whether there is a persistent hidden danger alarm.
5. The warning strategy method based on the visual continuous warning of the electric transmission line channel according to claim 1, characterized in that the strategy of the step d means that the image acquisition time interval of the visual inspection equipment is kept for a fixed time, and the confirmation sequence of the hidden risks is unchanged;
the step e and the step f, the strategy importing of the linkage equipment is that:
sending the corresponding image acquisition time interval in the strategy to an equipment end of the visual inspection equipment, and enabling the visual inspection equipment to acquire images according to the specified time interval;
meanwhile, maintaining the attributes of the high-risk and low-risk regions to be handled in the strategy in a hidden danger risk table of the visual inspection equipment unified management platform, and updating an alarmLevel field in the hidden danger risk table:
the corresponding value of the high-priority alarm strategy is 1;
the corresponding value of the low-priority alarm strategy is-1;
and when the effective time period is exceeded and the alarm strategy is reset to be the normal priority, resetting the value of the alarmLevel field in the hidden danger risk table to be 0.
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| CN114878958B (en) * | 2022-04-12 | 2023-06-16 | 武汉纳思系统技术有限公司 | Repeated alarm filtering method for intelligent detection of hidden danger of power transmission line |
| CN114693187B (en) * | 2022-05-31 | 2022-10-21 | 杭州未名信科科技有限公司 | Operation analysis method and device of tower crane cluster, storage medium and terminal |
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