CN112148555A - Intelligent reading and identifying method and system for fault warning information - Google Patents

Intelligent reading and identifying method and system for fault warning information Download PDF

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Publication number
CN112148555A
CN112148555A CN202010962004.3A CN202010962004A CN112148555A CN 112148555 A CN112148555 A CN 112148555A CN 202010962004 A CN202010962004 A CN 202010962004A CN 112148555 A CN112148555 A CN 112148555A
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data
ocr recognition
artificial intelligence
intelligent reading
fault alarm
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CN202010962004.3A
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赵丽丹
王秀境
方学智
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Guizhou Power Grid Co Ltd
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Guizhou Power Grid Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/302Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/32Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324Display of status information
    • G06F11/327Alarm or error message display
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155Bayesian classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition

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  • Theoretical Computer Science (AREA)
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  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
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  • Bioinformatics & Computational Biology (AREA)
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  • Bioinformatics & Cheminformatics (AREA)
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  • Life Sciences & Earth Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Character Discrimination (AREA)
  • Character Input (AREA)

Abstract

The invention discloses an intelligent reading and identification method of fault warning information, and also relates to an identification system, which comprises the steps of adopting image acquisition equipment to acquire data information on screen display equipment in real time; transmitting the collected image data to an OCR recognition end for recognition; carrying out artificial intelligence processing on the result data obtained after identification to obtain target data; and issuing the target data through an information issuing system. The invention can monitor the software running data on the display screen in real time and input the data acquisition classification into the system. The cost can be greatly reduced, the working intensity of a client is reduced, the error rate is greatly reduced, and the working efficiency is improved.

Description

Intelligent reading and identifying method and system for fault warning information
Technical Field
The invention relates to the technical field of data identification and processing, in particular to an intelligent reading and identification method and system for fault alarm information.
Background
The traditional manual data entry mode is the most direct mode used in all departments of the power grid at present, a special data entry worker enters data into a computer one by one for storage, and the data flow is to an Excel record type table. This method consumes a lot of manpower and time, and the computer is only a data carrier in the scheme and is not applied efficiently, and the disadvantages are obvious:
1. the order recording task is heavy, the intensity is high, and the recorder is easy to fatigue and make mistakes under the high-intensity repeated working state;
2. the increase of recording single hand and the increase of computer equipment leads to the increase of office cost;
3. the low efficiency of basic data acquisition leads to the lag of comprehensive statistical data, and the performance exerted by other information management systems is greatly reduced, thereby influencing the correct decision.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for intelligently reading and identifying fault warning information. The problems in the background art can be overcome.
The purpose of the first aspect of the invention is realized by the following technical scheme:
the intelligent reading and identification method of the fault alarm information comprises the steps of
Acquiring data information on a screen display device in real time by adopting an image acquisition device;
transmitting the collected image data to an OCR recognition end for recognition;
carrying out artificial intelligence processing on the result data obtained after identification to obtain target data;
and issuing the target data through an information issuing system.
In particular, the OCR recognition terminal comprises OCR recognition software for recognizing the acquired image and a recognition library for assisting the OCR recognition software.
In particular, the artificial intelligence process employs techniques including data transformation, core data extraction, data error correction, data integrity, data validity diagnosis, and data cleansing.
In particular, in the artificial intelligence processing process, invalid characters are filtered through rewriting of a program, valid characters are reserved, and a plurality of pieces of valid character information are integrated into one piece of character information according to setting of the valid characters.
In particular, an industrial camera is adopted to acquire images of a software interface operated by the screen display device in real time.
The second aspect of the invention is realized by the following technical scheme:
the intelligent reading and identifying system for fault warning information comprises
The image acquisition unit is used for acquiring data information on the screen display equipment in real time;
the OCR recognition unit is used for recognizing the real-time image information output by the image acquisition unit;
the artificial intelligence processing unit is used for carrying out artificial intelligence processing on the OCR recognition result to obtain target data;
and the information issuing system unit issues the target data.
Particularly, the image acquisition unit adopts an industrial camera to acquire images of a software interface operated by the screen display equipment in real time.
In particular, the OCR recognition terminal comprises OCR recognition software for recognizing the acquired image and a recognition library for assisting the OCR recognition software.
Particularly, the artificial intelligence processing unit comprises a data conversion module, a core data extraction module, a data error correction module, a data integrity checking module, a data validity diagnosis module and a data cleaning module.
The invention has the beneficial effects that:
the invention can monitor the software running data on the display screen in real time and input the data acquisition classification into the system. The cost can be greatly reduced, the working intensity of a client is reduced, the error rate is greatly reduced, and the working efficiency is improved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of the architecture and process flow of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
As shown in fig. 1, the intelligent reading and identifying method for fault warning information of the present invention includes the following steps:
step S1: acquiring data information on a screen display device in real time by adopting an image acquisition device;
step S2: transmitting the collected image data to an OCR recognition end for recognition; in the embodiment of the OCR recognition, the recognition end comprises OCR recognition software for recognizing the acquired image and a recognition library for assisting the OCR recognition software.
Step S3: carrying out artificial intelligence processing on the result data obtained after identification to obtain target data;
step S4: and issuing the target data through an information issuing system.
It should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, and the program may be stored in a computer readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
Based on the design idea of the method, the invention also provides an intelligent reading and identifying system of the fault warning information, which comprises the following steps:
(1) an image acquisition unit: the system is used for acquiring data information on the screen display equipment in real time;
(2) an OCR recognition unit: the real-time image information is used for identifying the real-time image information output by the image acquisition unit;
(3) an artificial intelligence processing unit: carrying out artificial intelligence processing on an OCR recognition result to obtain target data;
(4) an information distribution system unit: and issuing the target data.
The image acquisition unit adopts an industrial camera to acquire images of a software interface operated by the screen display equipment in real time. In this embodiment, the image capturing unit employs a 4K high-definition USB camera module with a full-end video model of USB4KHDR01-V100, the module employs an advanced photosensitive film SONYIMX317(1/2.5), the highest effective pixel can reach 3840(H) × 2160(V), any data information on the computer screen can be effectively captured, and incompleteness of image capture due to adverse environments such as light reflection is avoided. And different timing automatic shooting can be set according to different requirements of customers, different angles can be designed for shooting, and the requirements of the customers can be met to the maximum extent.
The OCR software adopts Thai (ABBYY) OCR character recognition software which is matched with a corresponding recognition library, can quickly pick up character information in a picture, can effectively judge character content through the recognition library, eliminates wrong recognition information, accurately recognizes complex characters, numbers, English letters and other languages, and ensures the accuracy of the obtained characters.
The artificial intelligence processing unit comprises a data conversion module, a core data extraction module, a data error correction module, a data integrity checking module, a data validity diagnosis module and a data cleaning module. The main functions of the system are realized by artificial intelligence processing software, the overall design refers to the concept of Naive Bayesian classification (Naive Bayesian classification) algorithm, and the software comprises a data conversion function, a core data extraction function, a data error correction function, a data integrity check function, a data validity diagnosis function and a data cleaning function. The data conversion function is to process data from various sources into data with a unified data structure and storage format. The data cleaning function is to primarily screen the original data, and eliminate the data with errors or larger errors through data cleaning processes such as data analysis, matching and repeated data elimination, verification and the like. The software can effectively judge the character symbols acquired by the OCR software, and respectively establish different models by adopting a specific algorithm according to different parameters such as the type, time, name and the like of an information source.
As an important characteristic, the acquired character symbols can be filtered according to the actual requirements of customers through software setting, information such as useful character symbols and the like is left, useful data is extracted, classified and sequenced through a core data extraction function, a plurality of pieces of effective data are integrated into one piece of visual data, and the visual data are finally displayed according to the requirements of the customers. The software also has a keyword recognition function, and can send different alarm signals after recognizing the keywords according to the requirements of customers, so that maintenance personnel can be effectively informed to maintain, and unnecessary loss is avoided.
On the whole, the system of the invention consists of 3 links, wherein the first link is a data image acquisition link; the second link is a data recognition analysis processing link and consists of OCR recognition software 5 and a recognition library 4; the third link is composed of an artificial intelligence processing unit 6, target data 7 and an information input system 8. The image acquisition unit 2 is fixed in front of the acquired screen display device 1 and is connected with another computer containing OCR (optical character recognition) software, an identification library and artificial intelligence processing software in a wired or wireless communication mode. The invention can send heavy and repeated work to a computer for processing, fully exerts the advantages of computer processing technology, can effectively reduce the working intensity of a client, reduces the error rate and greatly improves the working efficiency.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and 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 modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.

Claims (9)

1. An intelligent reading and identification method for fault alarm information is characterized in that: the method comprises the following steps
Acquiring data information on a screen display device in real time by adopting an image acquisition device;
transmitting the collected image data to an OCR recognition end for recognition;
carrying out artificial intelligence processing on the result data obtained after identification to obtain target data;
and issuing the target data through an information issuing system.
2. The intelligent reading and identification method of the fault alarm information according to claim 1, characterized in that: the OCR recognition terminal comprises OCR recognition software for recognizing the acquired image and a recognition library for assisting the OCR recognition software.
3. The method and system for intelligently reading and identifying fault alarm information according to claim 1 or 2, wherein: the artificial intelligence processing comprises data conversion, core data extraction, data error correction, data integrity, data validity diagnosis and data cleaning.
4. The intelligent reading and identification method of the fault alarm information according to claim 1, characterized in that: in the artificial intelligence processing process, invalid characters are filtered through rewriting of a program, valid characters are reserved, and a plurality of pieces of valid character information are integrated into one piece of character information according to setting of the valid characters.
5. The intelligent reading and identification method of the fault alarm information according to claim 1, characterized in that: and acquiring a real-time image of a software interface operated by the screen display equipment by adopting an industrial camera.
6. The intelligent reading and identifying system for screen display information is characterized in that: the system comprises
The image acquisition unit is used for acquiring data information on the screen display equipment in real time;
the OCR recognition unit is used for recognizing the real-time image information output by the image acquisition unit;
the artificial intelligence processing unit is used for carrying out artificial intelligence processing on the OCR recognition result to obtain target data;
and the information issuing system unit issues the target data.
7. The intelligent reading and identification system for the fault alarm information according to claim 6, wherein: the image acquisition unit adopts an industrial camera to acquire images in real time on a software interface operated by the screen display equipment.
8. The intelligent reading and identification system for the fault alarm information according to claim 6, wherein: the OCR recognition terminal comprises OCR recognition software for recognizing the acquired image and a recognition library for assisting the OCR recognition software.
9. The intelligent reading and identification system for the fault alarm information according to claim 6, wherein: the artificial intelligence processing unit comprises a data conversion module, a core data extraction module, a data error correction module, a data integrity checking module, a data validity diagnosis module and a data cleaning module.
CN202010962004.3A 2020-09-14 2020-09-14 Intelligent reading and identifying method and system for fault warning information Pending CN112148555A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113111870A (en) * 2021-04-16 2021-07-13 嘉兴云切供应链管理有限公司 5G remote central control system and method for multiple metal processing devices
CN113516128A (en) * 2021-03-04 2021-10-19 贵州电网有限责任公司 OCR-based method and system capable of accepting picture input

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CN104614701A (en) * 2015-03-08 2015-05-13 无锡桑尼安科技有限公司 Intelligent electric meter defect detection equipment
CN106874910A (en) * 2017-01-19 2017-06-20 广州优库电子有限公司 The self-service meter reading terminal of low-power consumption instrument long-distance and method based on OCR identifications
CN108647677A (en) * 2018-05-14 2018-10-12 山东师范大学 The ammeter appearance and performance intelligent detecting method and device that view-based access control model calculates
CN109299758A (en) * 2018-07-27 2019-02-01 深圳市中兴系统集成技术有限公司 A kind of intelligent polling method, electronic equipment, intelligent inspection system and storage medium
CN111652225A (en) * 2020-04-29 2020-09-11 浙江省北大信息技术高等研究院 Non-invasive camera reading method and system based on deep learning

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203417868U (en) * 2013-08-23 2014-02-05 威胜集团有限公司 Automatic meter panel detecting device
CN104614701A (en) * 2015-03-08 2015-05-13 无锡桑尼安科技有限公司 Intelligent electric meter defect detection equipment
CN106874910A (en) * 2017-01-19 2017-06-20 广州优库电子有限公司 The self-service meter reading terminal of low-power consumption instrument long-distance and method based on OCR identifications
CN108647677A (en) * 2018-05-14 2018-10-12 山东师范大学 The ammeter appearance and performance intelligent detecting method and device that view-based access control model calculates
CN109299758A (en) * 2018-07-27 2019-02-01 深圳市中兴系统集成技术有限公司 A kind of intelligent polling method, electronic equipment, intelligent inspection system and storage medium
CN111652225A (en) * 2020-04-29 2020-09-11 浙江省北大信息技术高等研究院 Non-invasive camera reading method and system based on deep learning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113516128A (en) * 2021-03-04 2021-10-19 贵州电网有限责任公司 OCR-based method and system capable of accepting picture input
CN113111870A (en) * 2021-04-16 2021-07-13 嘉兴云切供应链管理有限公司 5G remote central control system and method for multiple metal processing devices

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Application publication date: 20201229