Instrument monitoring system and method based on image feature recognition

Abstract

The invention relates to the technical field of gas meter monitoring, and discloses an instrument monitoring system based on image feature recognition, which specifically comprises a monitoring camera module, the monitoring camera module comprises a camera additionally arranged on a gas meter, and the camera is used for shooting a dial plate of the gas meter; the edge computing platform is used for identifying numbers displayed on the dial plate in the image shot by the camera and outputting an identification result, and an artificial intelligence image feature identification technology is adopted to identify the dial plate image; the alarm module is used for sending an alarm signal when the identification result meets a preset condition; the cloud server is used for sending alarm information when the alarm signal is generated. The invention further discloses an instrument monitoring method based on image feature recognition. The system is adopted for monitoring the gas meter. According to the invention, the camera is additionally arranged on the edge equipment, and image acquisition and processing, algorithm identification and data transmission are concentrated on the edge end, so that the data security is ensured, and the system power consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of gas meter monitoring, and in particular to a meter monitoring system and method based on image feature recognition. Background Art

[0002] At present, the market demand for gas meter data reading is gradually increasing. Traditional gas meter reading methods usually require manual on-site inspection. The industry faces rising labor costs, difficult inspection and maintenance, and messy management. Intelligent technology is needed to improve efficiency, reduce costs, and improve service quality. With the development of technology, the application of edge computing is becoming more and more popular, and data reading solutions have become the focus of the market.

[0003] Existing IoT technology solutions usually have high real-time and flexibility, but are expensive; while traditional communication technology solutions are low-cost, but have limited real-time and flexibility. Summary of the invention

[0004] The present invention provides an instrument monitoring system based on image feature recognition, which can overcome certain defects of the prior art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions, which include:

[0006] An instrument monitoring system based on image feature recognition includes: a monitoring camera module, the monitoring camera module includes a camera installed on a gas meter, the camera is used to photograph the dial of the gas meter in real time; an edge computing platform, the edge computing platform is used to identify the numbers displayed on the dial in the image taken by the camera and output the recognition result; an alarm module, the alarm module is used to send an alarm signal when the recognition result meets the preset conditions; a cloud server, the cloud server is used to receive the alarm signal and send alarm information to a mobile phone client, wherein the alarm information includes the alarm time point and the corresponding number displayed on the dial.

[0007] The above-mentioned edge computing platform can use artificial intelligence image feature recognition technology to identify the dial image, so as to identify the dial and its features in the image taken by the camera, so as to better improve the accuracy and efficiency of the reading.

[0008] In addition, the camera installed on the gas meter can collect data in minutes, so it is possible to better reduce data redundancy.

[0009] Preferably, the monitoring camera module also includes a driving unit, and the driving unit is used to focus the camera according to a control signal sent by the mobile phone client.

[0010] Preferably, the edge computing platform includes a storage unit, which stores an image recognition algorithm for processing images taken by the camera.

[0011] Preferably, the edge computing platform includes a processing unit, and the processing unit is used to call the image recognition algorithm in the storage unit to identify numbers in the image when receiving the image taken by the camera.

[0012] Preferably, the camera is connected to the edge computing platform via a USB interface.

[0013] Preferably, the edge computing platform also includes a communication unit, which is used to transmit the recognition result of the processing unit to the cloud server through the 485 serial port protocol.

[0014] Preferably, a transparent transmitter is provided between the communication unit and the cloud server for data transmission between the communication unit and the cloud server.

[0015] Preferably, the alarm module includes a verification unit, which is used to compare the numbers displayed on the dial collected in real time with a preset threshold value, and if the numbers are greater than the preset threshold value, the current time node is marked as an alarm node.

[0016] Preferably, the alarm module comprises a signal generating unit, and the signal generating unit is used to send out an alarm signal when the alarm duration formed by continuous alarm nodes exceeds a preset range value.

[0017] The present invention also provides an instrument monitoring method based on image feature recognition, which uses any of the above-mentioned instrument monitoring systems based on image feature recognition to monitor the gas meter.

[0018] The present invention integrates image acquisition, image processing, algorithm recognition, and data transmission at the edge by adding a camera to the edge device, thereby ensuring data security and reducing system power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of an instrument monitoring method based on image feature recognition according to Example 1. DETAILED DESCRIPTION

[0020] In order to further understand the content of the present invention, the present invention is described in detail in conjunction with the embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.

[0021] Example 1

[0022] The present embodiment provides an instrument monitoring system based on image feature recognition, including: a monitoring camera module, the monitoring camera module includes a camera installed on the gas meter, the camera is used to photograph the dial of the gas meter in real time; an edge computing platform, the edge computing platform is used to identify the numbers displayed on the dial in the image taken by the camera and output the recognition result; an alarm module, the alarm module is used to send an alarm signal when the recognition result meets the preset conditions; a cloud server, the cloud server is used to receive the alarm signal and send alarm information to a mobile phone client, wherein the alarm information includes the alarm time point and the corresponding number displayed on the dial.

[0023] The above-mentioned edge computing platform can use artificial intelligence image feature recognition technology to identify the dial image, so as to identify the dial and its features in the image taken by the camera, so as to better improve the accuracy and efficiency of the reading.

[0024] In addition, the camera installed on the gas meter can collect data in minutes, so it is possible to better reduce data redundancy.

[0025] In an instrument monitoring system based on image feature recognition in this embodiment, Linux cron scheduled tasks can be used to realize system restart of programs or devices every day or at a specified period; specifically, scheduled tasks can be set by editing crontab, such as automatic restart at 2 o'clock every night, to ensure the stability of the system during long-term operation.

[0026] This embodiment installs a camera on the edge device to centralize image acquisition, image processing, algorithm recognition, and data transmission on the edge, which not only ensures data security but also reduces system power consumption.

[0027] In this embodiment, the monitoring camera module further includes a driving unit, and the driving unit is used to focus the camera according to a control signal sent by the mobile phone client.

[0028] In this embodiment, the edge computing platform includes a storage unit, which stores an image recognition algorithm for processing images taken by a camera.

[0029] In this embodiment, the edge computing platform includes a processing unit, and the processing unit is used to call the image recognition algorithm in the storage unit to identify numbers in the image when receiving an image taken by a camera.

[0030] In this embodiment, the camera is connected to the edge computing platform via a USB interface.

[0031] In this embodiment, the edge computing platform also includes a communication unit, which is used to transmit the recognition result of the processing unit to the cloud server through the 485 serial port protocol.

[0032] In this embodiment, a transparent transmitter is provided between the communication unit and the cloud server for data transmission between the communication unit and the cloud server.

[0033] In this embodiment, the alarm module includes a verification unit, which is used to compare the numbers displayed on the dial collected in real time with a preset threshold value. If the number is greater than the preset threshold value, the current time node is marked as an alarm node.

[0034] In this embodiment, the alarm module includes a signal generating unit, and the signal generating unit is used to send out an alarm signal when the alarm duration formed by continuous alarm nodes exceeds a preset range value.

[0035] like Figure 1 As shown, the present invention also provides a meter monitoring method based on image feature recognition, which is combined with any of the above-mentioned meter monitoring systems based on image feature recognition to monitor the gas meter.

[0036] It is easy to understand that those skilled in the art can combine, split, reorganize, etc. the embodiments of the present application to obtain other embodiments based on one or several embodiments provided in the present application, and these embodiments do not exceed the protection scope of the present application.

[0037] The present invention and its implementation methods are described schematically above, and the description is not restrictive. The embodiments shown in the embodiments are only part of the implementation methods of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by the embodiments and designs a structure and an implementation method similar to the technical solution without creativity without departing from the purpose of the invention, they should all fall within the protection scope of the present invention.

Claims

1. An instrument monitoring system based on image feature recognition, characterized in that: include: A monitoring camera module, which includes a camera installed on the gas meter, and the camera is used to take real-time photos of the gas meter dial; The edge computing platform is used to recognize the numbers displayed on the dial in the image captured by the camera and output the recognition results; The alarm module is used to send out an alarm signal when the recognition result meets the preset conditions; the cloud server is used to receive the alarm signal and send alarm information to the mobile client, wherein the alarm information includes the alarm time point and the corresponding number displayed on the dial.

2. The instrument monitoring system based on image feature recognition according to claim 1 is characterized in that: The monitoring camera module also includes a driving unit, which is used to focus the camera according to a control signal sent by the mobile phone client.

3. The instrument monitoring system based on image feature recognition according to claim 1 is characterized in that: The edge computing platform includes a storage unit, which stores an image recognition algorithm for processing images taken by a camera.

4. The instrument monitoring system based on image feature recognition according to claim 3 is characterized in that: The edge computing platform includes a processing unit, which is used to call an image recognition algorithm in a storage unit to identify numbers in the image when receiving an image taken by a camera.

5. The instrument monitoring system based on image feature recognition according to claim 1 is characterized in that: The camera is connected to the edge computing platform via a USB interface.

6. The instrument monitoring system based on image feature recognition according to claim 4 is characterized in that: The edge computing platform also includes a communication unit, which is used to transmit the recognition result of the processing unit to the cloud server through the 485 serial port protocol.

7. The instrument monitoring system based on image feature recognition according to claim 6 is characterized in that: A transparent transmitter is provided between the communication unit and the cloud server for data transmission between the communication unit and the cloud server.

8. The instrument monitoring system based on image feature recognition according to claim 1 is characterized in that: The alarm module includes a verification unit, which is used to compare the numbers displayed on the dial collected in real time with a preset threshold. If the number is greater than the preset threshold, the current time node is marked as an alarm node.

9. The instrument monitoring system based on image feature recognition according to claim 8 is characterized in that: The alarm module includes a signal generating unit, which is used to send out an alarm signal when the alarm duration formed by continuous alarm nodes exceeds a preset range value.

10. An instrument monitoring method based on image feature recognition, characterized in that: A gas meter is monitored using an instrument monitoring system based on image feature recognition as described in any one of claims 1 to 9.

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