CN111950745A - Switching operation management method and system based on image processing - Google Patents
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Abstract
The invention relates to a transformer substation switching operation management method and a transformer substation switching operation management system based on image processing, wherein the management method comprises the following steps: scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps; arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment; identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator; and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
Description
Technical Field
The invention relates to a switching operation management method and system based on image processing, and belongs to the technical field of power systems.
Background
The electrical equipment is divided into three states of operation, standby (cold standby and hot standby) and maintenance. The process of changing a device from one state to another is called switching, and the operation performed is switching operation. Electrical equipment is converted from one state to another or the system changes modes of operation by operating disconnectors, circuit breakers and attaching and detaching ground wires. This operation is called a switching operation. The switching operation must perform an operation ticket system and a work guardian system.
At present, the following hidden troubles mainly exist in switching operation: firstly, the operation and maintenance personnel fill and examine the operation ticket under the conditions of large workload and unclear actual conditions on site, and the operation ticket is easy to be overlooked manually. Secondly, accidents with wrong entering intervals and improper operation are frequent due to insufficient operation light, poor mental state of personnel and the like. And thirdly, the operation and maintenance team often forgets to upload related operations and recorded photos, so that the safety management and control work is difficult to advance.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a switching operation management method and system based on image processing, which acquire the working content and the operation time sequence of the switching operation by identifying an operation ticket image and acquire the video images of the operation of each power device by an operator through a monitoring device, so as to acquire the actual operation content and the operation time sequence of the operator, compare the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket to confirm the correctness of the completion of the switching operation, facilitate the operation ticket execution of the operation scene of the operator on the basis of ensuring the safety of the switching operation, ensure the correctness of the switching operation and improve the timeliness of the switching operation.
The technical scheme of the invention is as follows:
technical scheme one
A transformer substation switching operation management method based on image processing comprises the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
Further, acquiring an image of the operation order by an OCR technology, matching the image of the operation order with a preset operation order template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template, wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
Further, the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation time sequence of the operator comprises:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps;
inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
Technical scheme two
An image processing-based substation switching operation management system comprises a memory and a processor, wherein the memory stores instructions, and the instructions are suitable for being loaded by the processor and executing the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
Further, acquiring an image of the operation order by an OCR technology, matching the image of the operation order with a preset operation order template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template, wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
Further, the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation time sequence of the operator comprises:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps;
inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
The invention has the following beneficial effects:
1. the invention relates to a switching operation management method and system based on image processing, which are characterized in that the working content and the operation time sequence of switching operation are obtained by identifying an operation ticket image, the video image of each power device operated by an operator is obtained by a monitoring device, so that the actual operation content and the operation time sequence of the operator are obtained, the operation content and the operation time sequence of the operator are compared with the switching operation content recorded by the operation ticket to confirm the correctness of the completion of the switching operation, the operation ticket is conveniently executed by the operator on the working site on the basis of ensuring the safety of the switching operation, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
2. According to the switching operation management method and system based on image processing, the operation order content is identified in a mode of cutting the operation order image, and the probability of identification errors during identification of the operation order content is greatly reduced.
3. According to the switching operation management method and system based on image processing, the image characteristics of the correct operation steps are obtained by constructing the image training set, the image characteristics of the operator for operating each power device and the image characteristics of each correct operation step are compared through a machine vision technology, and the automation degree is high; whether the field operation time sequence is wrong or not is confirmed through comparison, if the identification step is consistent with the operation ticket, the operation is carried out at the corresponding position, the operation ticket is marked in the correct operation step, and the operated electronic ticket is returned after all operations are carried out. On the basis of ensuring the safety of switching operation, the operation order is conveniently executed on the working site of an operator, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is an exemplary diagram of an exemplary yellow total identification operation ticket;
fig. 3 is an exemplary diagram of image feature extraction in the embodiment.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments.
Example one
Referring to fig. 1, a transformer substation switching operation management method based on image processing includes the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
According to the method and the device, the work content and the operation time sequence of the switching operation are acquired by identifying the operation ticket image, the video image of the operation personnel operating each power device is acquired through the monitoring device, the actual operation content and the operation time sequence of the operation personnel are obtained, the operation content and the operation time sequence of the operation personnel are compared with the switching operation content recorded by the operation ticket so as to confirm the correctness of the completion of the switching operation, on the basis of ensuring the safety of the switching operation, the operation ticket is conveniently executed on the work site of the operation personnel, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
Example two
The embodiment not only has the beneficial effects of the first embodiment, but also provides a specific method for scanning and identifying the operation order, acquiring the image of the operation order and the switching operation content recorded by the operation order, including the working content and the operation time sequence of each switching operation step, and identifying the image of the operator operating each power equipment, and acquiring the operation content and the operation time sequence of the operator;
further, referring to fig. 2, acquiring an image of the operation ticket by using an OCR technology, matching the image of the operation ticket with a preset operation ticket template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template (as shown in fig. 2, the cutting area is a black square area, and cutting out a time sequence and a work content of each operation step in the operation order), wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image respectively, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
Further, referring to fig. 3, the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation timing sequence of the operator includes:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps; as shown in fig. 3, a video image of an operation step is input to the deep learning network for feature extraction, and the black square area in fig. 3 is an extracted image feature.
Inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
According to the embodiment, the operation order content is identified in a mode of cutting the operation order image, so that the probability of identification errors in the process of identifying the operation order content is greatly reduced.
The image features of the correct operation steps are obtained by constructing an image training set, and the image features of the electric power equipment operated by an operator and the image features of the correct operation steps are compared through a machine vision technology, so that the automation degree is high; whether the field operation time sequence is wrong or not is confirmed through comparison, if the identification step is consistent with the operation ticket, the operation is carried out at the corresponding position, the operation ticket is marked in the correct operation step, and the operated electronic ticket is returned after all operations are carried out. On the basis of ensuring the safety of switching operation, the operation order is conveniently executed on the working site of an operator, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
EXAMPLE III
Referring to fig. 1, a transformer substation switching operation management system based on image processing includes a memory and a processor, where the memory stores instructions adapted to be loaded by the processor and execute the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
According to the method and the device, the work content and the operation time sequence of the switching operation are acquired by identifying the operation ticket image, the video image of the operation personnel operating each power device is acquired through the monitoring device, the actual operation content and the operation time sequence of the operation personnel are obtained, the operation content and the operation time sequence of the operation personnel are compared with the switching operation content recorded by the operation ticket so as to confirm the correctness of the completion of the switching operation, on the basis of ensuring the safety of the switching operation, the operation ticket is conveniently executed on the work site of the operation personnel, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
Example four
The embodiment not only has the beneficial effects of the third embodiment, but also provides a specific method for scanning and identifying the operation order, acquiring the image of the operation order and the switching operation content recorded by the operation order, including the working content and the operation time sequence of each switching operation step, and identifying the image of the operator operating each power equipment, and acquiring the operation content and the operation time sequence of the operator;
further, referring to fig. 2, acquiring an image of the operation ticket by using an OCR technology, matching the image of the operation ticket with a preset operation ticket template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template (as shown in fig. 2, the cutting area is a black square area, and cutting out a time sequence and a work content of each operation step in the operation order), wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image respectively, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
Further, referring to fig. 3, the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation timing sequence of the operator includes:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps; as shown in fig. 3, a video image of an operation step is input to the deep learning network for feature extraction, and the black square area in fig. 3 is an extracted image feature.
Inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
According to the embodiment, the operation order content is identified in a mode of cutting the operation order image, so that the probability of identification errors in the process of identifying the operation order content is greatly reduced.
The image features of the correct operation steps are obtained by constructing an image training set, and the image features of the electric power equipment operated by an operator and the image features of the correct operation steps are compared through a machine vision technology, so that the automation degree is high; whether the field operation time sequence is wrong or not is confirmed through comparison, if the identification step is consistent with the operation ticket, the operation is carried out at the corresponding position, the operation ticket is marked in the correct operation step, and the operated electronic ticket is returned after all operations are carried out. On the basis of ensuring the safety of switching operation, the operation order is conveniently executed on the working site of an operator, the correctness of the switching operation is ensured, and the timeliness of the switching operation is improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A transformer substation switching operation management method based on image processing is characterized by comprising the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
2. The image processing-based substation switching operation management method according to claim 1, characterized in that:
acquiring an image of the operation ticket through an OCR technology, matching the image of the operation ticket with a preset operation ticket template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template, wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
3. The method for managing switching operation of a substation based on image processing according to claim 1, wherein the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation time sequence of the operator comprises:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps;
inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
4. An image processing-based substation switching operation management system is characterized by comprising a memory and a processor, wherein the memory stores instructions, and the instructions are suitable for being loaded by the processor and executing the following steps:
scanning and identifying the operation order, and acquiring an image of the operation order and switching operation contents recorded by the operation order, wherein the switching operation contents comprise working contents and operation time sequences of all switching operation steps;
arranging monitoring equipment near each electric power equipment to acquire video images of operating personnel operating each electric power equipment;
identifying images of each power device operated by an operator, and acquiring operation contents and operation time sequences of the operator;
and comparing the operation content and the operation time sequence of the operator with the switching operation content recorded by the operation ticket, confirming whether the operation content and the operation time sequence of the operator are the same as the switching operation content on the operation ticket, marking a comparison result on the operation ticket, and returning the operation ticket after marking is finished.
5. The image processing-based substation switching operation management system according to claim 4, wherein:
acquiring an image of the operation ticket through an OCR technology, matching the image of the operation ticket with a preset operation ticket template, and then performing an image segmentation step;
the bill segmentation steps are as follows: mapping the operation order image to a preset operation order template, presetting a cutting area of switching operation content on the operation order template, wherein each cutting area corresponds to each operation step causing content and operation time sequence on the operation order image, and cutting the operation order image according to the cutting area to obtain an image slice;
and performing character recognition on each image slice to obtain the working content of each switching operation step and the corresponding operation time sequence.
6. The transformer substation switching operation management system based on image processing according to claim 4, wherein the specific method for identifying the image of the operator operating the power equipment and acquiring the operation content and the operation time sequence of the operator comprises:
pre-establishing an image training set, inputting correct operation videos of work contents of all operation steps to a deep learning network corresponding to all the operation steps, and extracting image characteristics of all the correct operation steps;
inputting images of the operating personnel operating the electric power equipment to a deep learning network, and extracting image features of the operating personnel operating the electric power equipment;
matching the image characteristics of the electric power equipment operated by the operator with the image characteristics of each correct operation step, and comparing the similarity of the image characteristics to obtain the correctness of the operation content of the operator;
intercepting the image time of operating each electric power device by an operator, and comparing the time to obtain the operation time sequence of operating each circuit device by the operator;
and marking results on the operation ticket according to the correctness of the operation content of the operator and the operation time sequence of the operator for operating each circuit device.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113179385A (en) * | 2021-03-04 | 2021-07-27 | 南方电网深圳数字电网研究院有限公司 | Equipment operation monitoring method, system, equipment and storage medium based on operation ticket |
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| CN113822271A (en) * | 2021-11-24 | 2021-12-21 | 广东电网有限责任公司惠州供电局 | Ticket surface identification and sorting method, device, system and medium for power grid transformation operation ticket |
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| CN111950745B (en) | 2024-05-24 |
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