Ammeter shielding identification system

Abstract

The invention relates to an electricity meter shielding identification system which comprises a last layer operation device and a second layer operation device. Intelligently identifying a field distribution area corresponding to the front-end table frame by adopting an AI identification model based on the number of pixel points of the target image block, an arithmetic mean value of each field depth value corresponding to each pixel point of the target image block and a focal length corresponding to the scene acquisition image; and the identification judgment equipment is used for sending a suspected electric meter shielding identification instruction when the received field distribution area corresponding to the front-end meter frame does not exceed the limit. According to the invention, the AI identification model can be adopted to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of the pixel points of the target image block, the arithmetic mean value of the field depth values corresponding to the pixel points of the target image block, and the focal length corresponding to the scene acquisition image; therefore, targeted judgment on whether the electric meter is shielded or not is completed, and reading deviation of the electric meter or abnormal meter reading data which cannot be read completely are avoided.

Description

Technical Field

[0001] The present invention relates to the field of electric meters, and in particular to an electric meter shielding identification system. Background Art

[0002] Automatic meter reading is to collect the data from each meter first, and then transmit it to the meter management center for unified management. Commonly used transmission methods are: using power lines to implement carrier communication to transmit data, using telephone networks to transmit data, using wireless methods to transmit data, and using optical fiber methods to transmit data.

[0003] Generally, the data collector reads the data of the connected meter, and the area concentrator communicates with all data collectors within the power supply range of the same transformer to collect and store the data of all meters in the station. The communication method can be RS485 or power line carrier. Then, the concentrators in each area can be woken up in turn through a modem, wirelessly, or by a car radio to transmit data. Of course, you can also use a handheld device to directly communicate with the collector and concentrator to collect data and transmit it to the power management center.

[0004] Data collectors generally use visual acquisition modes to read the current readings of each electricity meter in real time. Obviously, when there is an obstruction in the electricity meter, the reading of the electricity meter may be deviated or cannot be read at all. Therefore, it is necessary to ensure that the visual acquisition scene of each electricity meter is unobstructed. However, the prior art lacks a targeted and high-precision identification mechanism for whether the electricity meter is obstructed, resulting in abnormal meter reading data with deviations in the electricity meter readings or completely unreadable. Summary of the invention

[0005] In order to solve the above problems, the present invention provides an electric meter occlusion recognition system, which can use an AI recognition model to intelligently identify the on-site distribution area corresponding to the front-end table frame based on the number of pixel points of the target image blocks, the arithmetic mean of each depth of field value corresponding to each pixel point of the target image blocks, and the focal length corresponding to the scene acquisition image. The AI ​​recognition model used is a neural network that completes a fixed number of multiple trainings. The number of trainings, i.e., the value of the fixed number, is proportional to the mean of the numerical lengths corresponding to the three ranges of L channel numerical range, A channel numerical range, and B channel numerical range corresponding to the front-end table frame, thereby achieving targeted customization of the AI ​​recognition model. The system also parses the table frame sub-image of the front-end table frame of the current electric meter from the scene acquisition image corresponding to the current electric meter working scene based on the reference imaging pattern of the front-end table frame of the current electric meter, and the table frame sub-image of the front-end table frame of the current electric meter is obtained based on the scene acquisition image corresponding to the front-end table frame. The L channel value range, the A channel value range and the B channel value range identify the image block where the front-end table frame is located from the scene acquisition image, and when the image block where the identified front-end table frame is located matches the table frame sub-image where the front-end table frame of the current meter is located after parsing, the image block where the identified front-end table frame is located is output as the target image block, thereby adopting two different recognition mechanisms to complete the double confirmation of the imaging area of ​​the front-end table frame, improving the recognition accuracy of the imaging area of ​​the front-end table frame, and introducing the recognition and judgment device to issue a suspected meter occlusion recognition instruction when the on-site distribution area corresponding to the received front-end table frame is smaller than the factory standard distribution area of ​​the front-end table frame of the current meter, thereby executing the corresponding suspected scene judgment when the on-site distribution area of ​​the front-end table frame of the current meter obtained by high-precision analysis is relatively small, and completing the targeted identification and processing of the suspected meter occlusion scene.

[0006] According to the present invention, a system for identifying electric meter obstruction is provided, the system comprising: A scene acquisition mechanism is arranged just above the current electric meter to perform a photoelectric sensing operation and obtain a scene acquisition image corresponding to the working scene of the current electric meter; A frame parsing mechanism connected to the scene acquisition mechanism, for parsing a frame sub-image where the front-end frame of the current meter is located from the received scene acquisition image based on a reference imaging pattern of the front-end frame of the current meter; The first-layer operation device is connected to the table frame parsing mechanism and the scene acquisition mechanism respectively, and is used to obtain the L channel value range, the A channel value range and the B channel value range under the LAB space corresponding to the front-end table frame, and identify the image block where the front-end table frame is located from the scene acquisition image based on the L channel value range, the A channel value range and the B channel value range corresponding to the front-end table frame, and when the image block where the identified front-end table frame is located matches the table frame sub-image where the front-end table frame of the current electric meter is parsed, the image block where the identified front-end table frame is located is output as the target image block; A secondary layer operating device, connected to the primary layer operating device, for counting the number of pixel points of the target image block and obtaining the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block; The last layer operation device is connected to the second layer operation device and is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image blocks, the arithmetic mean of the depth of field values ​​corresponding to the pixels of the target image blocks, and the focal length corresponding to the scene acquisition image using an AI recognition model; An identification and judgment device, connected to the last layer operation device, is used to issue a suspected meter obstruction identification instruction when the field distribution area corresponding to the received front-end meter frame is smaller than the factory standard distribution area of ​​the front-end meter frame of the current meter; Among them, the AI ​​recognition model is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel of the target image block, and the focal length corresponding to the scene acquisition image. The AI ​​recognition model includes: the AI ​​recognition model is a neural network that completes a fixed number of multiple trainings, and the fixed number of values ​​is proportional to the mean of the numerical lengths corresponding to the three ranges of L channel numerical range, A channel numerical range and B channel numerical range corresponding to the front-end table frame.

[0007] Therefore, the present invention has at least the following key invention points: Invention point A: The AI ​​recognition model is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image blocks, the arithmetic mean of the depth of field values ​​corresponding to the pixels of the target image blocks, and the focal length corresponding to the scene acquisition image; Invention point B: The AI ​​recognition model used is a neural network that completes a fixed number of multiple trainings, and the number of trainings, i.e., the value of the fixed number, is proportional to the average of the lengths of the values ​​of the L channel value range, the A channel value range, and the B channel value range corresponding to the front-end table frame, thereby achieving targeted customization of the AI ​​recognition model; Invention point C: Based on the reference imaging pattern of the front-end table frame of the current meter, a table frame sub-image where the front-end table frame of the current meter is located is parsed from the scene acquisition image corresponding to the current meter working scene, and based on the L channel value range, A channel value range and B channel value range corresponding to the front-end table frame, an image block where the front-end table frame is located is identified from the scene acquisition image, and when the image block where the identified front-end table frame is located matches the parsed table frame sub-image where the front-end table frame of the current meter is located, the image block where the identified front-end table frame is located is output as the target image block, thereby using two different recognition mechanisms to complete the double confirmation of the imaging area of ​​the front-end table frame, thereby improving the recognition accuracy of the imaging area of ​​the front-end table frame; Invention point D: An identification and judgment device is introduced to issue a suspected meter obstruction identification instruction when the on-site distribution area corresponding to the received front-end meter frame is smaller than the factory standard distribution area of ​​the front-end meter frame of the current meter, thereby executing the corresponding suspected scene judgment when the on-site distribution area of ​​the front-end meter frame of the current meter obtained by high-precision analysis is relatively small, thereby completing the targeted identification and processing of the suspected meter obstruction scene. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 It is a structural block diagram of an electric meter obstruction identification system according to implementation scheme A of the present invention.

[0009] Figure 2 It is a structural block diagram of an electric meter obstruction identification system according to Embodiment B of the present invention.

[0010] Figure 3 It is a structural block diagram of an electric meter obstruction identification system according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the electric meter obstruction identification system of the present invention will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 The structure block diagram of the electric meter shielding identification system according to the A embodiment of the present invention is shown, and the system includes: A scene acquisition mechanism is arranged just above the current electric meter to perform a photoelectric sensing operation and obtain a scene acquisition image corresponding to the working scene of the current electric meter; A frame parsing mechanism connected to the scene acquisition mechanism, for parsing a frame sub-image where the front-end frame of the current meter is located from the received scene acquisition image based on a reference imaging pattern of the front-end frame of the current meter; Specifically, a CPLD device can be used to implement the meter frame parsing mechanism, which is connected to the scene acquisition mechanism and is used to parse the meter frame sub-image where the front-end meter frame of the current meter is located from the received scene acquisition image based on the reference imaging pattern of the front-end meter frame of the current meter; The first-layer operation device is connected to the table frame parsing mechanism and the scene acquisition mechanism respectively, and is used to obtain the L channel value range, the A channel value range and the B channel value range under the LAB space corresponding to the front-end table frame, and identify the image block where the front-end table frame is located from the scene acquisition image based on the L channel value range, the A channel value range and the B channel value range corresponding to the front-end table frame, and when the image block where the identified front-end table frame is located matches the table frame sub-image where the front-end table frame of the current electric meter is parsed, the image block where the identified front-end table frame is located is output as the target image block; A secondary layer operating device, connected to the primary layer operating device, for counting the number of pixel points of the target image block and obtaining the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block; The last layer operation device is connected to the second layer operation device and is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image blocks, the arithmetic mean of the depth of field values ​​corresponding to the pixels of the target image blocks, and the focal length corresponding to the scene acquisition image using an AI recognition model; An identification and judgment device, connected to the last layer operation device, is used to issue a suspected meter obstruction identification instruction when the field distribution area corresponding to the received front-end meter frame is smaller than the factory standard distribution area of ​​the front-end meter frame of the current meter; Specifically, the identification and judgment device is connected to the last-layer operation device and is used to issue a suspected meter obstruction identification instruction when the field distribution area corresponding to the received front-end meter frame is smaller than the factory standard distribution area of ​​the front-end meter frame of the current meter, including: the identification and judgment device has a built-in storage component, which is used to store the factory standard distribution area of ​​the front-end meter frame of the current meter; Among them, the AI ​​recognition model is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel of the target image block, and the focal length corresponding to the scene acquisition image, including: the AI ​​recognition model is a neural network that completes a fixed number of multiple trainings, and the fixed number of values ​​is proportional to the mean of the numerical lengths corresponding to the three ranges of the L channel numerical range, the A channel numerical range, and the B channel numerical range corresponding to the front-end table frame; The frame parsing mechanism is connected to the scene acquisition mechanism and is used to parse the frame sub-image of the front-end frame of the current meter from the received scene acquisition image based on the reference imaging pattern of the front-end frame of the current meter, including: taking the sub-image with the largest area among the sub-images matching the outline of the reference imaging pattern of the front-end frame of the current meter in the received scene acquisition image as the frame sub-image of the front-end frame of the current meter; Among them, the sub-image with the largest area among the sub-images that match the baseline imaging pattern contour of the front-end table frame of the current electric meter in the received scene acquisition image is used as the table frame sub-image where the front-end table frame of the current electric meter is located, including: for each sub-image, the size of its occupied area is identified by the total number of pixels it occupies.

[0013] Figure 2 It is a structural block diagram of an electric meter obstruction identification system according to Embodiment B of the present invention.

[0014] Compared with implementation scheme A, the electric meter obstruction identification system shown in implementation scheme B of the present invention may also include: A voltage measuring mechanism is connected to the first-layer operating device, the meter frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively, and is used to measure the current real-time voltage values ​​of the first-layer operating device, the meter frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively; Wherein, the voltage measuring mechanism is respectively connected with the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used to respectively measure the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, including: the voltage measuring mechanism includes a plurality of voltage measuring units, which are respectively connected with the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, so as to complete the respective measurement of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device; Wherein, the voltage measurement mechanism includes a plurality of voltage measurement units, which are used to respectively connect with the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the last-layer operation device to complete the respective measurement of the current real-time voltage values ​​of the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the last-layer operation device, including: the plurality of voltage measurement units are a plurality of voltage sensing circuits, which are used to respectively connect with the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the last-layer operation device to complete the respective measurement of the current real-time voltage values ​​of the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the last-layer operation device; Wherein, the plurality of voltage measurement units are a plurality of voltage sensing circuits, which are used to be respectively connected to the first-layer operation device, the meter frame parsing mechanism, the second-layer operation device and the last-layer operation device, so as to respectively measure the current real-time voltage values ​​of the first-layer operation device, the meter frame parsing mechanism, the second-layer operation device and the last-layer operation device, including: the structures of the plurality of voltage sensing circuits are the same; Among them, the multiple voltage measurement units are multiple voltage sensing circuits, which are used to be connected to the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively, so as to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and also include: the multiple voltage sensing circuits have the same voltage measurement upper limit value and voltage measurement lower limit value.

[0015] Figure 3 It is a structural block diagram of an electric meter obstruction identification system according to implementation scheme C of the present invention.

[0016] Compared with implementation scheme A, the electric meter obstruction identification system shown in implementation scheme C of the present invention may also include: A field configuration interface, connected to the first-layer operation device, the meter frame parsing mechanism, the second-layer operation device and the plurality of voltage sensing circuits of the last-layer operation device, respectively, for real-time configuration of operation configuration parameters of the first-layer operation device, the meter frame parsing mechanism, the second-layer operation device and the plurality of voltage sensing circuits of the last-layer operation device; Wherein, the field configuration interface is respectively connected to the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the plurality of voltage sensing circuits of the last-layer operation device, and is used to configure the operation configuration parameters of the first-layer operation device, the table frame parsing mechanism, the second-layer operation device and the plurality of voltage sensing circuits of the last-layer operation device in real time, including: the field configuration interface is a serial configuration interface; And wherein, the field configuration interface is respectively connected to the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used to configure the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device in real time. The embodiment includes: for the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, the field configuration interface uses different configuration addresses to configure the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device in real time.

[0017] In addition, in the electric meter occlusion identification system, the AI ​​recognition model is used to intelligently identify the on-site distribution area corresponding to the front-end table frame based on the number of pixel points of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block, and the focal length corresponding to the scene acquisition image. The method also includes: synchronously inputting the number of pixel points of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block, and the focal length corresponding to the scene acquisition image into the AI ​​recognition model, and executing the AI ​​recognition model to obtain the on-site distribution area corresponding to the front-end table frame output by the AI ​​recognition model.

[0018] The electric meter obstruction identification system of the present invention solves the technical problem in the prior art that the electric meter reading deviation or abnormal meter reading data that cannot be read at all is easily generated due to the inability to determine whether the electric meter is obstructed. By adopting an AI recognition model, the on-site distribution area corresponding to the front-end meter frame is intelligently identified based on the number of pixel points of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block, and the focal length corresponding to the scene acquisition image, thereby completing the targeted judgment on whether the electric meter is obstructed, avoiding the generation of electric meter reading deviation or abnormal meter reading data that cannot be read at all, thereby solving the above technical problems.

[0019] For purposes of illustration and description, a description of an illustrative embodiment of the present invention has been provided above. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations will become apparent to those skilled in the art. The illustrative embodiments have been selected and described to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the various embodiments of the invention, and the various modified examples are equally applicable to the particular application contemplated. The scope of the present invention is defined by the following claims and their equivalents.

Claims

1. An electric meter occlusion identification system, characterized in that: The system comprises: A scene acquisition mechanism is arranged just above the current electric meter to perform a photoelectric sensing operation and obtain a scene acquisition image corresponding to the working scene of the current electric meter; A frame parsing mechanism connected to the scene acquisition mechanism, for parsing a frame sub-image where the front-end frame of the current meter is located from the received scene acquisition image based on a reference imaging pattern of the front-end frame of the current meter; The first-layer operation device is connected to the table frame parsing mechanism and the scene acquisition mechanism respectively, and is used to obtain the L channel value range, the A channel value range and the B channel value range under the LAB space corresponding to the front-end table frame, and identify the image block where the front-end table frame is located from the scene acquisition image based on the L channel value range, the A channel value range and the B channel value range corresponding to the front-end table frame, and when the image block where the identified front-end table frame is located matches the table frame sub-image where the front-end table frame of the current electric meter is parsed, the image block where the identified front-end table frame is located is output as the target image block; A secondary layer operating device, connected to the primary layer operating device, for counting the number of pixel points of the target image block and obtaining the arithmetic mean of each depth of field value corresponding to each pixel point of the target image block; The last layer operation device is connected to the second layer operation device and is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image blocks, the arithmetic mean of the depth of field values ​​corresponding to the pixels of the target image blocks, and the focal length corresponding to the scene acquisition image using an AI recognition model; An identification and judgment device, connected to the last layer operation device, is used to issue a suspected meter obstruction identification instruction when the field distribution area corresponding to the received front-end meter frame is smaller than the factory standard distribution area of ​​the front-end meter frame of the current meter; Among them, the AI ​​recognition model is used to intelligently identify the field distribution area corresponding to the front-end table frame based on the number of pixels of the target image block, the arithmetic mean of each depth of field value corresponding to each pixel of the target image block, and the focal length corresponding to the scene acquisition image. The AI ​​recognition model includes: the AI ​​recognition model is a neural network that completes a fixed number of multiple trainings, and the fixed number of values ​​is proportional to the mean of the numerical lengths corresponding to the three ranges of L channel numerical range, A channel numerical range and B channel numerical range corresponding to the front-end table frame.

2. The electric meter obstruction identification system according to claim 1, characterized in that: The frame parsing mechanism is connected to the scene acquisition mechanism and is used to parse the frame sub-image of the front-end frame of the current meter from the received scene acquisition image based on the reference imaging pattern of the front-end frame of the current meter, including: taking the sub-image with the largest area among the sub-images matching the outline of the reference imaging pattern of the front-end frame of the current meter in the received scene acquisition image as the frame sub-image of the front-end frame of the current meter; Among them, the sub-image with the largest area among the sub-images that match the baseline imaging pattern contour of the front-end table frame of the current electric meter in the received scene acquisition image is used as the table frame sub-image where the front-end table frame of the current electric meter is located, including: for each sub-image, the size of its occupied area is identified by the total number of pixels it occupies.

3. The electric meter obstruction identification system according to claim 2, characterized in that: The system further comprises: A voltage measuring mechanism is connected to the first-layer operating device, the meter frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively, and is used to measure the current real-time voltage values ​​of the first-layer operating device, the meter frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively; Among them, the voltage measuring mechanism is respectively connected to the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used to respectively measure the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device. The voltage measuring mechanism includes multiple voltage measuring units, which are respectively connected to the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device.

4. The electric meter obstruction identification system according to claim 3, characterized in that: The voltage measuring mechanism includes a plurality of voltage measuring units, which are used to respectively connect with the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device. The plurality of voltage measuring units are a plurality of voltage sensing circuits, which are used to respectively connect with the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device.

5. The electric meter obstruction identification system according to claim 4, characterized in that: The multiple voltage measurement units are multiple voltage sensing circuits, which are used to be connected to the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively, so as to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, including: the structures of the multiple voltage sensing circuits are the same.

6. The electric meter obstruction identification system according to claim 5, characterized in that: The multiple voltage measurement units are multiple voltage sensing circuits, which are used to be connected to the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device respectively, so as to complete the respective measurements of the current real-time voltage values ​​of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and also include: the multiple voltage sensing circuits have the same voltage measurement upper limit value and voltage measurement lower limit value.

7. The electric meter obstruction identification system according to claim 3, characterized in that: The system further comprises: The field configuration interface is respectively connected to the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device.

8. The electric meter obstruction identification system according to claim 7, characterized in that: The field configuration interface is respectively connected to the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, including: the field configuration interface is a serial configuration interface.

9. The electric meter obstruction identification system according to claim 7, characterized in that: The field configuration interface is respectively connected to the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device, and is used to configure the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device in real time. The field configuration interface uses different configuration addresses to configure the operating configuration parameters of the multiple voltage sensing circuits of the first-layer operating device, the table frame parsing mechanism, the second-layer operating device and the last-layer operating device in real time.

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