Micro-power-consumption cable external damage prevention device and damage source identification method

Abstract

The invention relates to a micro-power-consumption cable external damage prevention device and a damage source identification method, and the device comprises an orthogonal vibration sensor module which is used for detecting an abnormal vibration signal; the sound signal probe module is used for detecting sound signals in different directions; the camera module is used for detecting images in different directions; the processor module is used for controlling the sound signal probe module and the camera module to enter a working state according to a signal detected by the orthogonal vibration sensor module; an AI identification unit is integrated in the processor module, and the AI identification unit is used for judging whether a dangerous external damage source exists or not according to detected sound signals and images in different directions. According to the invention, early warning can be carried out on engineering machinery with great harmfulness, and the working efficiency of a supervision department can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of online monitoring of the operating status of distribution cables, and in particular to a micro-power consumption cable external damage prevention device and a damage source identification method. Background Art

[0002] In recent years, with the rapid and healthy development of my country's national economy, the urbanization process has been accelerating, the importance of electric energy has also increased, and power safety has become more important than ever before. In the process of electric energy transmission, the safe and stable operation of cables is the key to ensuring reliable power supply. However, with the accelerated pace of national development, construction projects in various places have increased significantly, and underground cable damage accidents have occurred frequently, which will seriously affect the stability of the national economy and have a serious impact on people's lives and safety. According to the State Grid's investigation, one-third of the underground cable accidents that have occurred were caused by external force damage. In the incidents of external force damage to underground cables, it was basically due to the improper use of engineering machinery by the engineering team for construction operations, resulting in cable damage and disconnection.

[0003] At present, many experts and scholars have proposed solutions to reduce or eliminate the impact of external force damage on cable accidents. Among them, the early warning method proposes the use of intelligent video monitoring methods. The main means of this method is to use cameras to collect video information about the surrounding environment of underground cables, classify and identify passing vehicles and types, and when construction machinery is detected, issue a warning to the relevant departments, and the staff will check again. This method can very intuitively see the specific situation of the surrounding environment of underground cables, and the camera is easy to install. However, the problems with this method are also obvious. The camera is more suitable for use in areas with a wider field of view. If the field of view is narrow, it can only be solved by installing more cameras. Due to cost issues, it is generally only used on important lines. In addition, in bad weather conditions, the monitoring equipment is easily blocked, resulting in poor recognition effect. Some people have proposed to use vibration signals to monitor construction machinery. This method is to install the optical fiber vibration sensor in the underground cable. When vibration (pressure) is generated on the ground, the optical fiber will deform inside, causing changes in the light inside the optical fiber. Through interference phenomenon, different vibration signals are used according to different vibration signal characteristics. The detected vibration signal is matched with the database, and the vibration source can be identified and located, and the type and location of the construction machinery and other information can be transmitted to the relevant departments to achieve the alarm effect. Compared with several other methods, this method is less affected by natural environmental factors and has a good early warning effect. However, for different environments, the vibration signals generated by construction machinery are not the same, so it is easy to affect the recognition results and false alarms. Moreover, the equipment is expensive and difficult to promote and apply. It is mostly used for key line protection. Some people have proposed to monitor construction machinery through sound sensors. This method is to install sound sensors in underground cables. Since the sound of construction machinery has a unique characteristic signal (voiceprint), by collecting the sound of the surrounding environment of the underground cable, after preprocessing and feature extraction, and then matching with the model database, the construction machinery can be identified, and early warnings can be issued to relevant departments in time to achieve the protection of underground cables. Compared with other methods, this method is the most intelligent and the lowest cost, making it very suitable for wide application. However, in actual application, only by identifying the characteristics of the sound signal, it is impossible to accurately determine the location of the construction machinery, but only roughly estimate the approximate location of the construction machinery, making it difficult to accurately assess the degree of hazard of the hazard source. Moreover, due to the single identification conditions at present, false alarms and missed alarms are prone to occur. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a micro-power cable anti-external damage device and a damage source identification method, which can provide early warning for engineering machinery with high hazards and effectively improve the work efficiency of the regulatory department.

[0005] The technical solution adopted by the present invention to solve the technical problem is: to provide a micro-power consumption cable anti-external damage device, comprising:

[0006] Orthogonal vibration sensor module, used to detect abnormal vibration signals;

[0007] Sound signal probe module, used to detect sound signals from different directions;

[0008] A camera module for detecting images in different directions;

[0009] The processor module is used to control the sound signal probe module and the camera module to enter a working state according to the signal detected by the orthogonal vibration sensor module; the processor module is integrated with an AI recognition unit, and the AI ​​recognition unit is used to determine whether there is a dangerous external damage source based on the sound signals and images detected in different directions.

[0010] The micro-power cable anti-external breakage device also includes: a communication module connected to the processor module, and the communication module is used to transmit the sound signals in different directions detected by the sound signal probe module and the images in different directions detected by the camera module to the monitoring main station.

[0011] The orthogonal vibration sensor module includes an orthogonal vibration sensor and a vibration signal amplification and processing circuit. The vibration signal amplification and processing circuit includes a first operational amplifier. The non-phase end of the first operational amplifier is connected to the output end of the orthogonal vibration sensor through a first resistor and a first capacitor, and the non-phase end of the first operational amplifier is also grounded through a second capacitor; the inverting end of the first operational amplifier is connected to the power supply end through a second resistor, and the inverting end of the first operational amplifier is also grounded through a first voltage regulator tube; the output end of the first operational amplifier is connected to the processor module.

[0012] The sound signal probe module includes a sound signal probe and a sound signal amplifying and processing circuit, the sound signal amplifying and processing circuit includes a second operational amplifier, the non-phase end of the second operational amplifier is connected to the output end of the sound signal probe through a third resistor and a third capacitor, and the non-phase end of the second operational amplifier is also grounded through a fourth capacitor; the inverting end of the second operational amplifier is connected to the power supply end through a fourth resistor, and the inverting end of the second operational amplifier is also grounded through a second voltage regulator tube; the output end of the second operational amplifier is connected to the processor module.

[0013] The camera module adopts a 120° wide-angle camera.

[0014] The AI ​​recognition unit includes:

[0015] A feature extraction unit, used to extract sound features of sound signals detected in different directions and image features of images detected in different directions;

[0016] A comparison unit, used for comparing the sound feature and the image feature with the image feature and the sound feature of the external source stored in the sound and image feature library;

[0017] The determination unit is used to determine whether there is a dangerous external damage source according to the comparison result.

[0018] The micro-power cable anti-breakage device also includes: a rechargeable battery, which is connected to a solar panel via a DC inverter, and the solar panel is used to provide power for the micro-power cable anti-breakage device, and the rechargeable battery is used to provide power for the micro-power cable anti-breakage device at night and on rainy days.

[0019] The technical solution adopted by the present invention to solve the technical problem is: to provide a method for identifying the source of damage using the above-mentioned micro-power cable external damage prevention device, comprising:

[0020] The processor module automatically wakes up the sound signal probe module and the camera module at regular intervals;

[0021] After the sound signal probe module and the camera module are awakened, the sound signal and the image of the preset time are obtained;

[0022] The processor module transmits the acquired sound signal and image to the AI ​​recognition unit;

[0023] The AI ​​recognition unit extracts the sound features and image features of the acquired sound signal and image, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the sound and image feature library to determine whether there is a dangerous external damage source;

[0024] When there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module. When there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter a sleep mode.

[0025] When the sound signal probe module and the camera module are in sleep mode and there is an external damage source, the orthogonal vibration sensor module transmits the detected abnormal vibration signal to the processor module, and the processor module wakes up the sound signal probe module and the camera module after receiving the abnormal vibration signal;

[0026] After the sound signal probe module and the camera module are awakened, the sound signal and the image of the preset time are obtained;

[0027] The processor module transmits the acquired sound signal and image to the AI ​​recognition unit;

[0028] The AI ​​recognition unit extracts the sound features and image features of the acquired sound signal and image, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the sound and image feature library to determine whether there is a dangerous external damage source;

[0029] When there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module. When there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter a sleep mode.

[0030] Beneficial Effects

[0031] Due to the adoption of the above-mentioned technical scheme, the present invention has the following advantages and positive effects compared with the prior art: the present invention monitors the voiceprint signals of construction machinery through sound and vibration sensors, and at the same time starts the camera to capture dangerous situations, and uses image recognition technology to identify the sound source to distinguish the hazard, thereby realizing real-time identification and positioning of construction machinery and identification of the degree of hazard, and only issues early warnings for construction machinery with high hazards, thereby effectively improving the work efficiency of the regulatory department. The entire device adopts micro-power processing technology and is powered by solar energy, and does not require external power supply, so it is suitable for field deployment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a structural block diagram of a micro-power cable external breakage prevention device according to an embodiment of the present invention;

[0033] Figure 2 It is a principle block diagram of a micro-power cable external breakage protection device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0035] The embodiment of the present invention relates to a micro-power cable anti-breakage device, such as Figure 1 and Figure 2As shown, it includes: an orthogonal vibration sensor module for detecting abnormal vibration signals; a sound signal probe module for detecting sound signals in different directions; a camera module for detecting images in different directions; a processor module for controlling the sound signal probe module and the camera module to enter a working state according to the signal detected by the orthogonal vibration sensor module; an AI recognition unit is integrated in the processor module, and the AI ​​recognition unit is used to determine whether there is a dangerous external damage source according to the sound signals and images detected in different directions. The micro-power cable external damage prevention device of this embodiment also includes a communication module connected to the processor module, and the communication module is used to transmit the sound signals in different directions detected by the sound signal probe module and the images in different directions detected by the camera module to the monitoring main station.

[0036] In this embodiment, the sound signal probe module includes a sound signal probe (MIC) and a sound signal amplification processing circuit, wherein the sound signal amplification processing circuit includes a second operational amplifier, the non-phase end of the second operational amplifier is connected to the output end of the sound signal probe through a third resistor and a third capacitor, and the non-phase end of the second operational amplifier is also grounded through a fourth capacitor; the inverting end of the second operational amplifier is connected to the power supply end through a fourth resistor, and the inverting end of the second operational amplifier is also grounded through a second voltage regulator tube; the output end of the second operational amplifier is connected to the processor module. After the external sound is coupled by the sound signal probe, it is processed by the filter circuit composed of the third capacitor C3, the third resistor R3, and the fourth capacitor C4 and sent to the non-phase end of the operational amplifier U1B for tracking amplification to achieve impedance conversion. The amplified signal is sent to the high-speed A / D sampling circuit of the processor module for further amplification and analog-to-digital conversion. In this embodiment, there are 4 sound signal probes, facing the four directions of east, west, south, and north respectively.

[0037] The orthogonal vibration sensor module in this embodiment includes an orthogonal vibration sensor and a vibration signal amplification processing circuit, wherein the vibration signal amplification processing circuit includes a first operational amplifier, the positive phase end of the first operational amplifier is connected to the output end of the orthogonal vibration sensor through a first resistor and a first capacitor, and the positive phase end of the first operational amplifier is also grounded through a second capacitor; the inverting end of the first operational amplifier is connected to the power supply end through a second resistor, and the inverting end of the first operational amplifier is also grounded through a first voltage regulator tube; the output end of the first operational amplifier is connected to the processor module. When large construction equipment such as excavators are working nearby, the orthogonal vibration sensor can detect the vibration signal emitted by large construction equipment such as excavators when working, and after being processed by a filter circuit composed of a first capacitor C1, a first resistor R1, and a second capacitor C2, it is sent to the positive phase of the operational amplifier U1A for tracking and amplification. The amplified signal is sent to the high-speed A / D sampling circuit of the processor module for analog-to-digital conversion. The orthogonal vibration sensor mainly detects vibration signals on horizontal and vertical surfaces.

[0038] The camera module in this embodiment can adopt a 120° wide-angle camera with an effective distance of 25 meters. There are four cameras in total, which are located in the same direction as the four sound signal probes, thereby realizing image acquisition in four directions.

[0039] The AI ​​recognition unit in this embodiment includes: a feature extraction unit, which is used to extract the sound features of the sound signals detected in different directions and the image features of the images in different directions; a comparison unit, which is used to compare the sound features and image features with the image features and sound features of the external damage source stored in the sound and image feature library; and a determination unit, which is used to determine whether there is a dangerous external damage source based on the comparison result. Among them, the sound and image feature library stores a large number of image features and working sound features of external damage sources such as excavators, electric picks, rammers, bulldozers, etc., which are used to compare various images and sound information on the scene.

[0040] The micro-power cable anti-breakage device of this embodiment also includes: a rechargeable battery, which is connected to the solar panel located on the top of the warning pile through a DC inverter, and the solar panel is used to provide power for the micro-power cable anti-breakage device. The rechargeable battery is used to provide power for the micro-power cable anti-breakage device at night and on rainy days, and the energy in the rechargeable battery comes from the solar panel during the day.

[0041] The method for identifying the damage source of the micro-power cable anti-external damage device of this embodiment includes the following two situations:

[0042] The first case is a normal case, in which the sound signal probe module and the camera module are in a dormant state. The processor module automatically wakes up the sound signal probe module and the camera module at regular intervals (for example, 30 minutes). After the sound signal probe module and the camera module are awakened, 10s of sound signals and images in four directions are obtained; the processor module transmits the acquired sound signals and images to the monitoring main station through the communication module, and saves them as daily operation and maintenance data. At the same time, the processor module also transmits the acquired sound signals and images to the AI ​​recognition unit, and the AI ​​recognition unit extracts the sound features and image features of the acquired sound signals and images, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the audio-visual feature library to determine whether there is a dangerous external damage source; when there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module, requesting the on-duty personnel of the monitoring main station to conduct manual review, and when there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter a dormant mode.

[0043] The second situation is the situation where there is an external damage source. In this case, the sound signal probe module and the camera module are in a dormant state, but because the vibration information generated when the external damage source is working will be detected by the orthogonal vibration sensor module, the orthogonal vibration sensor module will transmit the detected abnormal vibration signal to the processor module, and the processor module will wake up the sound signal probe module and the camera module after receiving the abnormal vibration signal. After the sound signal probe module and the camera module are awakened, the sound signal and image of 10s in four directions are obtained; the processor module also transmits the obtained sound signal and image to the AI ​​recognition unit, and the AI ​​recognition unit extracts the sound features and image features of the obtained sound signal and image, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the audio-visual feature library to determine whether there is a dangerous external damage source; when there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module, and at the same time, the obtained sound signal and image are transmitted to the monitoring main station through the communication module, requesting the on-duty personnel of the monitoring main station to conduct manual review, and when there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter the dormant mode.

[0044] It is not difficult to find that the present invention monitors the voiceprint signals of construction machinery through sound and vibration sensors, and at the same time starts the camera to capture dangerous situations, and uses image recognition technology to identify the sound source to distinguish the harmfulness, thereby realizing real-time identification and positioning of construction machinery and screening the degree of harm, and only issuing early warnings for construction machinery with high hazards, thereby effectively improving the work efficiency of the regulatory department. The entire device adopts micro-power processing technology and is powered by solar energy. It does not require external power supply and is suitable for field deployment.

Claims

1. A micro-power cable anti-external damage device, characterized in that: include: Orthogonal vibration sensor module, used to detect abnormal vibration signals; Sound signal probe module, used to detect sound signals from different directions; A camera module for detecting images in different directions; The processor module is used to control the sound signal probe module and the camera module to enter a working state according to the signal detected by the orthogonal vibration sensor module; the processor module is integrated with an AI recognition unit, and the AI ​​recognition unit is used to determine whether there is a dangerous external damage source based on the sound signals and images detected in different directions.

2. The micro-power cable anti-breakage device according to claim 1 is characterized in that: Also includes: A communication module connected to the processor module, the communication module is used to transmit the sound signals in different directions detected by the sound signal probe module and the images in different directions detected by the camera module to the monitoring main station.

3. The micro-power cable anti-external damage device according to claim 1, characterized in that: The orthogonal vibration sensor module includes an orthogonal vibration sensor and a vibration signal amplification and processing circuit. The vibration signal amplification and processing circuit includes a first operational amplifier. The non-phase end of the first operational amplifier is connected to the output end of the orthogonal vibration sensor through a first resistor and a first capacitor, and the non-phase end of the first operational amplifier is also grounded through a second capacitor; the inverting end of the first operational amplifier is connected to the power supply end through a second resistor, and the inverting end of the first operational amplifier is also grounded through a first voltage regulator tube; the output end of the first operational amplifier is connected to the processor module.

4. The micro-power cable anti-external damage device according to claim 1, characterized in that: The sound signal probe module includes a sound signal probe and a sound signal amplifying and processing circuit, the sound signal amplifying and processing circuit includes a second operational amplifier, the non-phase end of the second operational amplifier is connected to the output end of the sound signal probe through a third resistor and a third capacitor, and the non-phase end of the second operational amplifier is also grounded through a fourth capacitor; the inverting end of the second operational amplifier is connected to the power supply end through a fourth resistor, and the inverting end of the second operational amplifier is also grounded through a second voltage regulator tube; the output end of the second operational amplifier is connected to the processor module.

5. The micro-power cable anti-external damage device according to claim 1, characterized in that: The camera module adopts a 120° wide-angle camera.

6. The micro-power cable anti-external damage device according to claim 1, characterized in that: The AI ​​recognition unit includes: a feature extraction unit, which is used to extract the sound features of the sound signals detected in different directions and the image features of the images in different directions; A comparison unit, used for comparing the sound feature and the image feature with the image feature and the sound feature of the external source stored in the sound and image feature library; The determination unit is used to determine whether there is a dangerous external damage source based on the comparison result.

7. The micro-power cable anti-external damage device according to claim 1, characterized in that: Also includes: A rechargeable battery is connected to a solar panel via a DC inverter, the solar panel is used to provide power for the micro-power cable anti-breakage device, and the rechargeable battery is used to provide power for the micro-power cable anti-breakage device at night and on rainy days.

8. A method for identifying a damage source using the micro-power cable anti-external damage device as claimed in any one of claims 1 to 7, characterized in that: include: The processor module automatically wakes up the sound signal probe module and the camera module at regular intervals; After the sound signal probe module and the camera module are awakened, the sound signal and the image of the preset time are obtained; The processor module transmits the acquired sound signal and image to the AI ​​recognition unit; The AI ​​recognition unit extracts the sound features and image features of the acquired sound signal and image, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the sound and image feature library to determine whether there is a dangerous external damage source; When there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module. When there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter a sleep mode.

9. The method for identifying a damage source according to claim 8, characterized in that: When the sound signal probe module and the camera module are in sleep mode and there is an external damage source, the orthogonal vibration sensor module transmits the detected abnormal vibration signal to the processor module, and the processor module wakes up the sound signal probe module and the camera module after receiving the abnormal vibration signal; After the sound signal probe module and the camera module are awakened, the sound signal and the image of the preset time are obtained; The processor module transmits the acquired sound signal and image to the AI ​​recognition unit; The AI ​​recognition unit extracts the sound features and image features of the acquired sound signal and image, and compares the obtained sound features and image features with the image features and sound features of the external damage source stored in the sound and image feature library to determine whether there is a dangerous external damage source; When there is a dangerous external damage source, the processor module sends an early warning message to the monitoring main station through the communication module. When there is no dangerous external damage source, the processor module controls the sound signal probe module and the camera module to enter a sleep mode.

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