CN-115457599-B - Power transmission maintenance safety early warning method based on inference engine and power transmission line maintenance platform

CN115457599BCN 115457599 BCN115457599 BCN 115457599BCN-115457599-B

Abstract

The invention relates to a power transmission maintenance safety early warning method based on an inference engine, which is based on an inference engine, an operation behavior knowledge base, an operation environment knowledge base and a safety early warning knowledge base, wherein after the behavior and scene of an maintainer are obtained by utilizing an image recognition method, rule matching is carried out according to the operation behavior and scene of the maintainer, the behavior type is obtained by inference, the environment characteristic is subjected to rule matching to obtain the dangerous type of the operation environment, the behavior type and the dangerous type of the environment are combined again, the safety type of the behavior is obtained by inference, the safety type of the behavior of the maintainer is judged, and warning information is sent out if the judgment result is the dangerous behavior. The invention also discloses a power transmission line maintenance platform. The invention analyzes the environment and the dangerous degree of the behavior action of the maintenance personnel in real time when in work, obtains the feedback information of the working data, has good accuracy, can be widely applied to the maintenance of the transmission line under various environments, has high reliability, saves time and labor and saves cost.

Inventors

YIN GUOWEI
SU SHIMING
DONG YUANFA
ZHAO YONGFENG
WU WEI
CAO CHANGCHANG
PENG WEI
PAN SHUN
ZHOU KELAI
REN JIE

Assignees

安徽宏源电力建设投资有限公司
三峡大学
安徽送变电工程有限公司

Dates

Publication Date: 20260508
Application Date: 20220930

Claims (8)

1. The power transmission maintenance safety early warning method based on the inference engine is characterized in that the safety early warning method is based on an inference engine, an operation behavior knowledge base, an operation environment knowledge base and a safety early warning knowledge base, the behavior and the scene of an maintainer are obtained by utilizing an image recognition method, rule matching is carried out according to the operation behavior and the scene of the maintainer, the behavior type is obtained by inference; The safety early warning method comprises the following steps: Step 1, collecting an image of an overhauling personnel on an overhauling operation platform, extracting a framework of the overhauling personnel from the image by utilizing a Alphapose model, determining action coordinates of the overhauling personnel according to the framework of the overhauling personnel by utilizing an ST-GCN action recognition network, determining limb actions of the overhauling personnel, and recognizing a scene where the overhauling personnel is located by utilizing a YoLo v model; the Alphapose model includes a spatial transformation network STN, a single pose estimation network SPPE, a spatial inverse transformation network SDTN, and a pose non-maxima suppressor PPNMS; The ST-GCN action recognition network comprises a normalization layer, a plurality of ST-GCN units, a pooling layer and a full-connection layer, wherein the ST-GCN units comprise an attention layer ATT, a graph rolling network GCN and a time convolution network TCN; Step 2, based on the operation behavior knowledge base, reasoning and obtaining the behavior type of the maintainer according to the operation behavior and the operation scene obtained in the step 1; step 3, collecting the environmental characteristics and the electric field intensity of the working environment, and reasoning to obtain the dangerous type of the working environment based on a knowledge base of the working environment; Step 4, based on a safety early warning knowledge base, reasoning and obtaining the safety type of the behavior of the maintainer according to the behavior type of the maintainer and the dangerous type of the working environment; And 5, judging the safety type of the behavior of the overhauling personnel obtained in the step 4, if the judging result is dangerous behavior, sending out warning information, and if the judging result is abnormal behavior, sending out prompt information.
2. The transmission maintenance safety precaution method of claim 1, wherein the inference engine employs a Drools rule engine.
3. The transmission line maintenance platform of the transmission line maintenance safety precaution method according to claim 1 or 2, characterized in that the transmission line maintenance platform comprises a working bucket (5), a base (2), a lifting mechanism (4) and an embedded system (1), wherein a computer program is stored in a memory of the embedded system (1), the safety precaution method according to claim 1 is realized when the computer program is executed by a processor of the embedded system, the bottom of the working bucket (5) is connected with the base (2) through the lifting mechanism (4), the lifting mechanism (4) comprises a first telescopic frame (401) and a second telescopic frame (402) driven by a hydraulic telescopic column, and the top ends of the first telescopic frame and the second telescopic frame are respectively connected with the front edge and the rear edge of the bottom of the working bucket (5); One upper end point of the X-shaped rod (403) at the top of the first expansion bracket is hinged with the bottom of the working bucket (5), the other upper end point is connected with a sliding block of a sliding block mechanism (7) at the bottom of the working bucket (5), and the connection mode of the second expansion bracket and the working bucket is the same as that of the first expansion bracket; a hydraulic telescopic column (10) is arranged in the diagonal direction of two adjacent X-shaped rods (403) in the first telescopic frame, and the structure of the second telescopic frame is the same as that of the first telescopic frame; The base is also provided with a sliding block mechanism (7) corresponding to the sliding block mechanism (7) at the bottom of the working bucket (5), and the ends of the X-shaped rods at the bottom of the first telescopic frame and the second telescopic frame, which are close to the sliding block mechanism (7) of the base, are connected with the sliding blocks of the sliding block mechanism (7); The working hopper (5) is provided with a sensor unit (12) and a camera (13), and the output ends of the sensor unit (12) and the camera (13) are respectively and electrically connected with the embedded system; A first operation table (3) electrically connected with the embedded system is arranged in the working bucket (5).
4. A transmission line maintenance platform according to claim 3, characterized in that the base (2) is provided with a plurality of legs (201), the bottoms of the legs (201) being connected to a support plate (202).
5. The power transmission line maintenance platform according to claim 4, wherein the hinged ends of the X-shaped bars on both sides of the first expansion bracket (401) are respectively connected with the hinged ends of the corresponding bars on the second expansion bracket via cross bars (15).
6. The power transmission line maintenance platform according to claim 5, wherein the base (2) is provided with a first wheel set (16) and a second wheel set (17), a connecting shaft of the axle center of the first wheel set (16) is rotatably connected with the base through a steering column (18), and the axle center of the second wheel set (17) is fixedly connected with the base.
7. The power transmission line maintenance platform according to claim 6, wherein the base (2) is provided with a hydraulic rod (11), and a rod head of the hydraulic rod (11) is connected with a slide block of the slide block mechanism (7) of the base.
8. The power transmission line maintenance platform according to claim 7, wherein the hydraulic pump (8) is arranged on the base (2), the hydraulic telescopic column (10) and the hydraulic rod (11) are respectively connected with the hydraulic pump (8) through oil pipelines, a pump shaft of the hydraulic pump (8) is connected with a rotating shaft of the motor (9), and a control end of the motor (9) is connected with a control signal output end of the embedded system.

Description

Power transmission maintenance safety early warning method based on inference engine and power transmission line maintenance platform Technical Field The invention belongs to the field of power transmission and transformation facility maintenance, and particularly relates to a power transmission line maintenance platform with danger early warning based on an inference engine and a use method thereof. Background At present, the demand of various areas in China for electric power is continuously increased, because of the natural weather environment and the line fault conditions caused by various human factors, the typical circuit maintenance machine is an insulating bucket arm vehicle. The large truck is used for carrying the insulating bucket arm truck and moving to the vicinity of a power transmission line, maintenance personnel enter the insulating working bucket, and the insulating working bucket and the maintenance personnel are moved to a fault line area to perform work through the movement of the insulating bucket arm truck bucket arm. However, the working environment to which the maintenance machine is adapted and the functions provided thereby have certain limitations. For example, when the faulty line is located near a narrow road, large trucks cannot enter, which to some extent affects the development of maintenance work. Most of the existing power transmission line maintenance devices are single in function and cannot adapt to increasingly complex working environments. For example, when an insulating arm vehicle is used for helping maintenance personnel to carry out maintenance work, due to the lack of a real-time sensing component and a monitoring unit, the maintenance personnel can only judge dangerous environments through own experience, and due to the fact that the insulating arm vehicle is large in size, the whole device is heavy, the manufacturing cost and the use cost are high, the device cannot meet line maintenance requirements of the maintenance personnel under different environments, and certain potential safety hazards exist. Disclosure of Invention The technical problem of the invention is that the power transmission line maintenance device in the prior art lacks a monitoring and early warning function for dangerous scenes or dangerous behaviors possibly occurring in the line maintenance operation process. Aiming at the problems, the invention provides a power transmission overhaul safety early warning method and a power transmission overhaul safety early warning system based on an inference engine, a working behavior knowledge base, a working environment knowledge base and a safety early warning knowledge base, which are used for obtaining the behavior and the scene of an maintainer by using an image recognition method, carrying out rule matching according to the working behavior and the scene of the maintainer, and carrying out reasoning to obtain a behavior type; the method comprises the steps of carrying out rule matching on environmental characteristics to obtain a dangerous type of an operation environment, carrying out reasoning to obtain a safe type of a behavior by combining the behavior type and the dangerous type of the environment, and timely giving out a warning on the dangerous behavior of a maintainer so as to improve the safety of power transmission maintenance operation. The technical scheme of the invention is a power transmission maintenance safety early warning method based on an inference engine, and the safety early warning method comprises the following steps: Step 1, collecting an image of an overhauling personnel on an overhauling operation platform, adopting an ST-GCN action recognition network to recognize and obtain the operation behavior of the overhauling personnel, and utilizing YoLo v model to recognize the scene of the overhauling personnel; Step 2, based on the operation behavior knowledge base, reasoning and obtaining the behavior type of the maintainer according to the operation behavior and the operation scene obtained in the step 1; step 3, collecting the environmental characteristics and the electric field intensity of the working environment, and reasoning to obtain the dangerous type of the working environment based on a knowledge base of the working environment; Step 4, based on a safety early warning knowledge base, reasoning and obtaining the safety type of the behavior of the maintainer according to the behavior type of the maintainer and the dangerous type of the working environment; And 5, judging the safety type of the behavior of the overhauling personnel obtained in the step 4, if the judging result is dangerous behavior, sending out warning information, and if the judging result is abnormal behavior, sending out prompt information. Preferably, in step 1, a Alphapose model is used to detect and identify the pose of the personnel in the image of the maintainer, and then the ST-GCN action identification network is used to determine the a