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Power transmission line construction machinery detection method based on Android system and embedded platform

An Android system and transmission line technology, applied in neural learning methods, character and pattern recognition, computer components, etc., can solve problems such as manpower consumption, untimely alarms, and delays in the safe operation of power grids, so as to improve efficiency, solve costs, and Realize the effect of intelligent management

Inactive Publication Date: 2020-01-17
SHANDONG ZHIYANG ELECTRIC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accelerated process of technology makes the mechanical construction gradually extend to the transmission line channel, which seriously threatens the safe operation of the transmission line and creates a huge safety hazard for the transmission line.
On the other hand, the current maintenance personnel use manual line inspection to monitor the transmission line. There is a vacuum period in the manual line inspection, and the changes in the line corridor cannot be grasped in real time. Moreover, the vertical and horizontal spans of the transmission lines are large and the distribution terrain is complex.
There are many types of line status parameters, and many links are not easy to find manually, which greatly consumes manpower and reduces efficiency
Detection on the server side will cause a certain delay, and the specific on-site situation cannot be grasped in real time, so that the alarm will not be timely, which will delay the safe operation of the power grid

Method used

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  • Power transmission line construction machinery detection method based on Android system and embedded platform
  • Power transmission line construction machinery detection method based on Android system and embedded platform
  • Power transmission line construction machinery detection method based on Android system and embedded platform

Examples

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Embodiment 1

[0026] Such as Figure 1-3 As shown, the transmission line construction machinery detection method based on Android system and embedded platform of the present invention comprises the following steps:

[0027] a. The embedded monitoring camera installed with Android system captures images within the range of the transmission line at regular intervals;

[0028] b. Convert the lightweight transmission line construction machinery hidden danger detection model into a tflite model, use TensorflowLite technology to transplant it into the embedded surveillance camera installed with Android system, load the model parameters, detect the newly captured images of the surveillance camera, analyze the detection results and deal with.

[0029] Specifically, step b includes the following detailed steps:

[0030] b1: Transform the lightweight transmission line construction machinery hidden danger detection model into a tflite model;

[0031] b2: Use TensorflowLite technology to transplant ...

Embodiment 2

[0038] On the basis of Example 1, a certain province based on the Android system and the embedded platform transmission line construction machinery detection system, the embedded monitoring camera installed with the Android system captured 14,000 pictures in a certain period of time during the capture process of the transmission line area On-site pictures, including 10475 pictures containing hidden construction machinery and 3525 pictures not containing construction machinery, use the construction machinery detection method proposed by the present invention, and use the embedded monitoring camera installed with the Android system to capture pictures locally and detect them in real time Finally, the false positive rate of construction machinery hidden danger identification is 11.2%, the false positive rate of identification is 12.7%, and the accuracy rate is 76.1%.

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Abstract

The invention relates to the technical field of power transmission line detection, in particular to a power transmission line construction machinery detection method based on an Android system and anembedded platform. The power transmission line construction machinery detection method comprises the following steps that: a, an embedded monitoring camera provided with the Android system snapshots an image in a power transmission line range every other fixed time; and b, the lightweight power transmission line construction machinery hidden danger detection model is converted into a tflite model,and the tflite model is transplanted into an embedded monitoring camera provided with an Android system by using a TensorflowLite technology, and model parameters are loaded, and an image newly shotby the monitoring camera is detected, and a detection result is analyzed and the detection result is processed. The power transmission line construction machinery detection method can rapidly inspectthe hidden danger construction machinery on the power transmission line, and can keep the detection speed reaches a hundred milliseconds level under the condition that the hidden danger detection accuracy of the power transmission channel at 75% in the embedded monitoring camera provided with the Android system.

Description

technical field [0001] The invention relates to the technical field of transmission line detection, in particular to a transmission line construction machinery detection method based on an Android system and an embedded platform. Background technique [0002] In the power grid industry, the safety of transmission lines is always a critical issue. Whether the transmission line is safe is of great significance to the safe and reliable operation of the power grid, so it is necessary to regularly monitor the operation status of the transmission line. However, the accelerated process of technology makes the mechanical construction gradually extend to the transmission line channel, which seriously threatens the safe operation of the transmission line and creates a huge safety hazard for the transmission line. On the other hand, current maintenance personnel use manual line inspection to monitor transmission lines. There is a vacuum period in manual line inspection, and it is impo...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q10/06G06Q50/06
CPCG06N3/08G06Q10/0635G06Q50/06G06V20/52G06N3/045
Inventor 胡志坤王振东徐冰张建鑫樊思萌付琳邓运涛
Owner SHANDONG ZHIYANG ELECTRIC