CN110719445A - Remote meter reading system and method based on image recognition - Google Patents
Remote meter reading system and method based on image recognition Download PDFInfo
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- CN110719445A CN110719445A CN201911086451.0A CN201911086451A CN110719445A CN 110719445 A CN110719445 A CN 110719445A CN 201911086451 A CN201911086451 A CN 201911086451A CN 110719445 A CN110719445 A CN 110719445A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000011218 segmentation Effects 0.000 claims description 5
- 238000013461 design Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims 1
- 230000008030 elimination Effects 0.000 claims 1
- 238000003379 elimination reaction Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 4
- 230000007547 defect Effects 0.000 abstract description 3
- 238000000605 extraction Methods 0.000 description 10
- 230000007797 corrosion Effects 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/02—Recognising information on displays, dials, clocks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Abstract
The invention discloses a remote meter reading system and method based on image recognition, and the system comprises a camera, a processor, a memory, a 2G module, a concentrator and a server, wherein the output end of the camera is connected with the input end of the processor, the output end of the processor is connected with the input end of the memory, the output end of the memory is connected with the input end of the 2G module, the 2G module transmits data to the concentrator through a 2G network, and the output end of the concentrator is connected with the server. The server provides a data access storage library for the APP and the Web end. Compared with the method for acquiring the electric meter data through the photoelectric direct reading technology in the prior art, the method disclosed by the invention has the advantages that the defects of inaccurate reading caused by complicated structure, easiness in pollution of water, oil, gas and the like in the photoelectric direct reading technology are avoided.
Description
Technical Field
The invention relates to the technical field of intelligent meter reading, in particular to a remote meter reading system based on image recognition.
Background
With the development of society, a large number of power consumers are increased, the users are scattered, the management is inconvenient, a large amount of labor and time cost are required to be invested in the traditional meter reading mode, and an automatic, convenient and advanced stopwatch mode is urgently needed. The traditional manual meter reading mode is low in efficiency, and the situations of missing reading and error reading can often occur. A large number of cables need to be arranged, meter reading cost is greatly increased, and wiring is inconvenient due to dispersed and remote users. Therefore, a plurality of electric meter reading systems appear on the market. The method is an emerging technology designed for improving the comprehensive charging management of water meters and electric meters. The traditional manual meter reading is replaced by a full-automatic meter reading mode.
However, most meter reading systems in the current market adopt a method for acquiring meter data by using a photoelectric direct reading technology, but the photoelectric direct reading technology has the defects of inaccurate reading, high equipment cost and the like due to complex structure and easy pollution caused by water, oil, gas and the like. Therefore, an intelligent meter reading technology with low cost, accurate reading and stable and reliable system is urgently needed in the market.
Disclosure of Invention
In view of the above, the present invention provides a remote meter reading system and method based on image recognition, in which the image recognition is performed on the electricity meter number, and then the data of the electricity meter is transmitted to a server system.
The invention solves the technical problems by the following technical means:
the invention provides a remote meter reading system based on image recognition, which comprises a camera, a processor, a memory, a 2G module, a concentrator and a server, wherein the output end of the camera is connected with the input end of the processor, the output end of the processor is connected with the input end of the memory, the output end of the memory is connected with the input end of the 2G module, the 2G module is transmitted to the concentrator through a 2G network, the output end of the concentrator is connected with the server, and the server is used for data access of an App or a Web page end.
Furthermore, the device that the 2G module passes through GPRS wireless network and is connected the adoption with the server is GPRS DTU module.
Further, the processor is an Atmega processor.
Further, the server comprises a login page, an ammeter list management page, an ammeter record management page, an ammeter newly-added page, a user management module, a role management module, a permission management module and a data export module.
Further, the remote meter reading method based on the image recognition comprises the following steps:
s1, the camera takes a picture of the display data of the electric meter;
s2, the processor analyzes and identifies the image acquired by the camera;
s3, the processor transfers the electric meter digital information identified by analysis to the memory for storage;
s4, the memory transmits the data information to the concentrator through the 2G module for gathering;
s5: the concentrator transmits the summarized digital information of the electric meter to the server;
s6: and the server arranges the data for the App and the Web end to access.
Further, the process of analyzing and identifying the image acquired by the camera in step S2 mainly includes the following steps:
the preprocessing operation on the image is firstly to carry out local binarization on the image. The method is characterized in that local binarization is realized by adopting a classical maximum inter-class difference (OTSU) method, and the gray value of an image is divided into two groups by setting a threshold value, wherein one group corresponds to a background, and the other group corresponds to a target. And calculating to obtain the variance between the average gray values of the target and the background, wherein when the variance reaches the maximum, the corresponding threshold is the optimal threshold for distinguishing the target from the background. Binarization is followed by isolated noise cancellation. The acquired image is difficult to avoid the condition that characters are polluted, and isolated noise points are generated around the numbers. Usually, expansion and corrosion methods are used to remove such noise points, so that isolated noise points can be effectively eliminated. And then, character segmentation is carried out, and the segmentation of the target character can be realized by adopting a vertical projection method, so that a single number and a character are respectively extracted, and the character recognition is ready for subsequent character feature recognition. After a single character is segmented, feature points are extracted by a common feature extraction method, such as a pixel-by-pixel feature extraction method, a data statistics feature point extraction method, a radian gradient extraction method and the like, and an optimal extraction method needs to be selected according to conditions in the research and development process. After the feature points are extracted, classifier design is performed to realize final character recognition.
The invention has the beneficial effects that: compared with the method for acquiring the electric meter data through the photoelectric direct reading technology in the prior art, the method provided by the invention has the advantages that the defects of inaccurate reading caused by complicated structure, easiness in pollution of water, oil, gas and the like in the photoelectric direct reading technology are avoided.
Drawings
Fig. 1 is a schematic diagram of a remote meter reading system based on image recognition according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the drawings and specific embodiments, and it is to be understood that the described embodiments are only a few embodiments of the present invention, rather than the entire embodiments, and that all other embodiments obtained by those skilled in the art based on the embodiments in the present application without inventive work fall within the scope of the present application.
As shown in fig. 1, the invention relates to a remote meter reading system based on image recognition.
In this embodiment, the invention provides a remote meter reading system based on image recognition, which includes a camera, a processor, a memory, a 2G module, a concentrator and a server, an output end of the camera is connected with an input end of the processor, an output end of the processor is connected with an input end of the memory, an output end of the memory is connected with an input end of the 2G module, the 2G module is transmitted to the concentrator through a 2G network, an output end of the concentrator is connected with the server, and the server is used for data access of an App or a Web page end.
In this embodiment, the device used for connecting the 2G module with the server through the GPRS wireless network is a GPRS DTU module.
In this embodiment, the processor is an Atmega processor.
In this embodiment, the server includes a login page, an electric meter list management page, an electric meter record management page, an electric meter newly-added page, a user management module, a role management module, a permission management module, and a data export module.
In this embodiment, a remote meter reading method based on image recognition includes the following steps:
s1, the camera takes a picture of the display data of the electric meter;
s2, the processor analyzes and identifies the image acquired by the camera;
s3, the processor transfers the electric meter digital information identified by analysis to the memory for storage;
s4, the memory transmits the data information to the concentrator through the 2G module for gathering;
s5: the concentrator transmits the summarized digital information of the electric meter to the server;
s6: and the server arranges the data for the App and the Web end to access.
In this embodiment, the process of analyzing and identifying the image acquired by the camera in step S2 mainly includes the following steps:
the preprocessing operation on the image is firstly to carry out local binarization on the image. The method is characterized in that local binarization is realized by adopting a classical maximum inter-class difference (OTSU) method, and the gray value of an image is divided into two groups by setting a threshold value, wherein one group corresponds to a background, and the other group corresponds to a target. And calculating to obtain the variance between the average gray values of the target and the background, wherein when the variance reaches the maximum, the corresponding threshold is the optimal threshold for distinguishing the target from the background. Binarization is followed by isolated noise cancellation. The acquired image is difficult to avoid the condition that characters are polluted, and isolated noise points are generated around the numbers. Usually, expansion and corrosion methods are used to remove such noise points, so that isolated noise points can be effectively eliminated. And then, character segmentation is carried out, and the segmentation of the target character can be realized by adopting a vertical projection method, so that a single number and a character are respectively extracted, and the character recognition is ready for subsequent character feature recognition. After a single character is segmented, feature points are extracted by a common feature extraction method, such as a pixel-by-pixel feature extraction method, a data statistics feature point extraction method, a radian gradient extraction method and the like, and an optimal extraction method needs to be selected according to conditions in the research and development process. After the feature points are extracted, classifier design is performed to realize final character recognition.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims. The techniques, shapes, and configurations not described in detail in the present invention are all known techniques.
Claims (6)
1. The utility model provides a long-range system of checking meter based on image recognition, its characterized in that, includes camera, treater, memory, 2G module, concentrator and server, the output of camera is connected with the input of treater, the output of treater is connected with the input of memory, the output of memory is connected with the input of 2G module, the 2G module passes through 2G network transmission and gives the concentrator, the output and the server of concentrator are connected, the server is used for App or Web page end to carry out data access.
2. The remote meter reading system based on the image recognition is characterized in that: the device adopted by the connection of the 2G module and the server through the GPRS wireless network is a GPRSDTU module.
3. The remote meter reading system based on the image recognition is characterized in that: the processor is an Atmega processor.
4. The remote meter reading system based on the image recognition is characterized in that: the server comprises a login page, an ammeter list management page, an ammeter record management page, an ammeter newly-added page, a user management module, a role management module, a permission management module and a data export module.
5. A remote meter reading method based on image recognition comprises the following steps:
s1, the camera takes a picture of the display data of the electric meter;
s2, the processor analyzes and identifies the image acquired by the camera;
s3, the processor transfers the electric meter digital information identified by analysis to the memory for storage;
s4, the memory transmits the data information to the concentrator through the 2G module for gathering;
s5: the concentrator transmits the summarized digital information of the electric meter to the server;
s6: and the server arranges the data for the App and the Web end to access.
6. The remote meter reading method based on the image recognition is characterized in that: the process of analyzing and identifying the image acquired by the camera in the step S2 mainly includes the following steps:
s1, local binarization of the image is carried out by adopting a maximum inter-class difference OTSU method;
s2: setting a threshold value, and dividing the gray value of the image into two groups, wherein one group corresponds to a background, and the other group corresponds to a target;
s3: calculating to obtain the variance between the average gray values of the target and the background, wherein when the variance reaches the maximum, the corresponding threshold is the optimal threshold for distinguishing the target from the background;
s4: carrying out isolated noise elimination on the image;
s5, adopting a vertical projection method to realize the segmentation of the target character so as to respectively extract a single number and a character and prepare for the subsequent character feature identification;
s6, extracting character feature points;
and S7, performing classifier design to realize final character recognition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911086451.0A CN110719445A (en) | 2019-11-08 | 2019-11-08 | Remote meter reading system and method based on image recognition |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911086451.0A CN110719445A (en) | 2019-11-08 | 2019-11-08 | Remote meter reading system and method based on image recognition |
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| CN110719445A true CN110719445A (en) | 2020-01-21 |
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| CN201911086451.0A Pending CN110719445A (en) | 2019-11-08 | 2019-11-08 | Remote meter reading system and method based on image recognition |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112309102A (en) * | 2020-11-06 | 2021-02-02 | 湖南常德牌水表制造有限公司 | Method for mobile acquisition of water meter data |
| CN116206093A (en) * | 2023-04-28 | 2023-06-02 | 杭州兴华软件技术有限公司 | Electric meter data acquisition method and system based on bitmap and readable storage medium |
-
2019
- 2019-11-08 CN CN201911086451.0A patent/CN110719445A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112309102A (en) * | 2020-11-06 | 2021-02-02 | 湖南常德牌水表制造有限公司 | Method for mobile acquisition of water meter data |
| CN116206093A (en) * | 2023-04-28 | 2023-06-02 | 杭州兴华软件技术有限公司 | Electric meter data acquisition method and system based on bitmap and readable storage medium |
| CN116206093B (en) * | 2023-04-28 | 2023-08-15 | 杭州兴华软件技术有限公司 | Electric meter data acquisition method and system based on bitmap and readable storage medium |
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