CN116740692A - Mining intelligent identification and filling system - Google Patents
Mining intelligent identification and filling system Download PDFInfo
- Publication number
- CN116740692A CN116740692A CN202310646661.0A CN202310646661A CN116740692A CN 116740692 A CN116740692 A CN 116740692A CN 202310646661 A CN202310646661 A CN 202310646661A CN 116740692 A CN116740692 A CN 116740692A
- Authority
- CN
- China
- Prior art keywords
- information
- picture
- user
- module
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005065 mining Methods 0.000 title claims abstract description 29
- 230000005540 biological transmission Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000012795 verification Methods 0.000 claims abstract description 9
- 238000007689 inspection Methods 0.000 claims description 19
- 238000012015 optical character recognition Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 12
- 238000003860 storage Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 4
- 238000005520 cutting process Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 2
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 5
- 239000003245 coal Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- 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
- G06V30/14—Image acquisition
- G06V30/1444—Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields
-
- 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
- G06V30/14—Image acquisition
- G06V30/1444—Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields
- G06V30/1456—Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields based on user interactions
-
- 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
- G06V30/19—Recognition using electronic means
- G06V30/19007—Matching; Proximity measures
- G06V30/19013—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Computer Security & Cryptography (AREA)
- Agronomy & Crop Science (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Hardware Design (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Human Computer Interaction (AREA)
- Software Systems (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Character Discrimination (AREA)
Abstract
The application relates to the technical field of mobile artificial intelligence, in particular to a mining intelligent recognition and reporting system, which comprises: the information verification module is used for acquiring user information and judging whether the user information has the use permission or not based on the user information; the picture processing module is used for collecting pictures to be identified and identifying picture information on the pictures to be identified; and the data transmission module is used for storing and uploading the picture information. According to the application, the information to be collected is automatically identified as character data by shooting and identifying the alphanumeric information on the form board, the equipment nameplate, the industrial instrument or the display screen, and is input into the terminal filling system, so that a user can upload the information into the system without manually inputting the information item by item in the underground operation, the working efficiency of the user is improved, and the intelligent level of the system is improved.
Description
Technical Field
The application relates to the technical field of mobile artificial intelligence, in particular to a mining intelligent recognition and reporting system.
Background
With the wide application of intelligent terminal equipment and 5G in industrial production, the application of terminal App mobile office has been increasingly applied to coal mine intelligent construction. OCR (Optical Character Recognition ) technology is a common artificial intelligent recognition technology, can realize character recognition, album picture character recognition and screenshot character recognition by photographing, is applied to mobile applications such as searching, bookkeeping, notes, translation and the like, facilitates extraction or entry of text by a user, and effectively improves usability of products and user experience.
In the process of acquiring data underground in a coal mine, the traditional method is that underground inspectors fill out and upload the data into a system item by item according to a manual input mode of alphanumeric information on a form board, an equipment nameplate, an industrial instrument or a display screen, the mode is time-consuming and labor-consuming, the operation of the underground inspectors is complicated, the underground inspectors cannot enter the system in an area without a network environment, and the working efficiency is low.
How to improve the intelligent degree of the underground filling system so as to improve the working efficiency of inspectors, and the problem to be solved is solved urgently. In order to solve the problem, an intelligent mining identification and reporting system is developed, and data needing to be input into the system are automatically identified and uploaded by utilizing the scanning of a mining terminal device camera and the OCR technology.
Disclosure of Invention
The application provides a mining intelligent recognition and reporting system for solving the problem of complicated text input operation.
In a first aspect, the present application provides a mining intelligent identification and reporting system, comprising:
the information verification module is used for acquiring user information and judging whether the user information has the use permission or not based on the user information;
the picture processing module is used for collecting pictures to be identified and identifying picture information on the pictures to be identified;
and the data transmission module is used for storing and uploading the picture information.
According to one aspect of the application, the system further comprises a data display module, wherein the data display module is used for displaying the inspection route and the inspection point position of the user.
According to one aspect of the application, the picture processing module comprises an image acquisition module and a picture identification module;
the image acquisition module is used for acquiring environmental information around a user in real time;
the picture identification module is used for identifying pictures and analyzing the picture information into JSON format data.
According to one aspect of the application, the image acquisition module comprises a picture adjustment module for framing the acquired data region and cropping the picture during image acquisition.
According to one aspect of the application, the data transmission module comprises a receiving management module and an information input module, wherein the receiving management module is used for saving the picture information and uploading the picture information to the terminal equipment or the server;
the information input module is used for automatically inputting the picture information into the information filling page.
According to one aspect of the application, the data display module may also be used to display an information filled page, in which the user may modify the content.
The application also provides a mining intelligent recognition and reporting method, which comprises the following steps:
acquiring and checking user information based on the mobile terminal, and displaying an underground inspection task of the user according to the user information;
acquiring underground information according to the inspection task to obtain data, and cutting the data to obtain a picture to be identified;
recognizing and analyzing a picture to be recognized based on an OCR optical character recognition tool and a preset picture template in the mobile terminal to obtain JSON format data;
automatically inputting field information of JSON format data into a filling page;
store and upload data.
According to one aspect of the application, the method further comprises the step of comparing the preset picture template with the picture to be identified, and if the identification error item exists, configuring corresponding identification field error correction information in the background of the mobile terminal according to the difference data, so as to optimize the preset picture template in real time.
In order to solve the above problems, the application also provides an electronic device, which is characterized by comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the intelligent mining identification and reporting system when being executed by the processor.
In order to solve the above problems, the present application further provides a computer readable storage medium, where a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the computer program implements an intelligent mining identification and reporting system as described above.
The application has the following advantages:
in the process of acquiring data underground, coal mine technicians apply a mobile terminal OCR digital recognition technology, take pictures through cameras to scan alphanumeric information on a form board, a device nameplate, an industrial instrument or a display screen, automatically recognize the information to be acquired as character data, enter a terminal filling system, and upload the character data into the system without manual entry in the underground operation, thereby improving the working efficiency of the users and the intelligent level of the system.
Drawings
FIG. 1 shows a flow chart of a mining intelligent identification and reporting system;
fig. 2 shows a flow chart of a mining intelligent recognition and reporting method.
Detailed Description
The disclosure will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those of ordinary skill in the art to better understand and thus practice the present disclosure, and are not meant to imply any limitation on the scope of the present disclosure.
As used herein, the term "comprising" and variants thereof are to be interpreted as meaning "including but not limited to" open-ended terms. The term "based on" is to be interpreted as "based at least in part on". The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment. The term "another embodiment" is to be interpreted as "at least one other embodiment".
Example 1
In many scenarios, in order to prevent security threats caused by equipment breakage, untimely shutdown of equipment, etc., workers need to patrol the surrounding environment of the equipment or the factory. In order to record the patrol places, workers need to fill in patrol forms according to surrounding form board and equipment nameplates, and record the patrol conditions of surrounding environments and equipment. However, the manual information input by the staff is easy to cause the problems of filling errors, too long time consumption and the like. Therefore, the application provides a mining intelligent recognition and reporting system for solving the problems:
the information verification module is used for acquiring user information and judging whether the user information has the use permission or not based on the user information;
the picture processing module is used for collecting pictures to be identified and identifying picture information on the pictures to be identified;
and the data transmission module is used for storing and uploading the picture information.
In this embodiment, as shown in fig. 1, the mining intelligent recognition and reporting system may include an information verification module, a picture processing module, and a data transmission module.
The information verification module can be used for obtaining user information, such as fingerprint information, face information, identification card numbers, names or internal personnel numbers and the like, which can prove the identity of the user, and can carry out multiple verification on the information. And after the user passes the identity authentication, entering an operation page. After entering the operation page, the user can use the picture processing module to collect the picture to be identified, identify the characters and numbers in the picture, and store and upload the picture by the data transmission module. The character recognition tool may use an OCR optical character recognition tool to set the field to be recognized and the layout of the picture table, and may set the format of the frame selection area data, the field name, and the type of the recognition field, where the type of the recognition field supports types including case english alphabets, numbers, number/english/symbol mixes, dates, handwritten chinese characters, handwritten numbers, standard prints, and the like. The frame selection reference field can comprise data, a moving amount, a left shoulder, a lower waist line, a displacement cross observation record board and the like, the specific selection is not limited here, and a user can decide according to actual conditions.
If the user is located in the network-free area, the data transmission module can temporarily store the data to the local and upload the data when the uploading condition is provided. The type recognizable by the picture processing module can comprise a form board, a device nameplate, an industrial instrument or an alphanumeric message in a display screen.
When the user fails the authentication, the information verification module may display on the operation interface: there is no information about you in the system. And further uploading information input by the user which does not pass the identity verification to a system, and manually checking by staff.
Further, the system may also include a data display module. The data display module can be used for displaying information such as a routing inspection route and a routing inspection point position of a user, and also can be used for displaying the real-time position of the user in real time, so that the user can conveniently inquire the position where the routing inspection is required, and the routing inspection time of the user is saved. In order to improve the inspection efficiency of the user, the data display module can also mark the shortest inspection route of the user on the inspection route, so that the time of the user is saved.
Further, in order to improve the recognition speed of the information in the picture, the picture processing module may include an image acquisition module and a picture recognition module, where the image acquisition module may be used to acquire environmental information around the user in real time, and the picture recognition module may be used to recognize the picture and parse the picture information into JSON format. The resolution format of the picture information can be set according to the requirement, and is not limited to JSON format.
Further, considering that a plurality of identifiable form cards may exist in a photo taken by a user at the same time, the identifiable information is too much to be effectively identified, thereby causing information errors or uncleanness. Thus, the image acquisition module may also comprise a picture adjustment module. When a user shoots, the user can set the identification range by using the automatic frame selection, and the data in the automatic frame selection range is identified, so that the information in the range to be identified is reduced, and the identification efficiency is improved. Considering that the user needs to check the identification information, the automatic frame selection device can cut according to the range set by the automatic frame selection device, and can enlarge and display the selected content of the automatic frame selection device on a page, so that the user can check the identification information conveniently, and the wrong information version is uploaded. Further, considering the situation that the automatic frame selection may have wrong frame selection or unsuitable frame selection range, the user can set the identification range of the system by adopting a manual frame selection mode, so that the identification efficiency is improved.
In consideration of the situations that a user may encounter equipment damage, be located in a network-free area and the like in the using process, in order to save the obtained information in time, the data transmission module may comprise a receiving management module and an information input module. The receiving management module may be configured to store the parsed picture information, and upload the picture information to the terminal device or the server under the condition of having an uploading environment. Further, in order to reduce the time for the user to fill in the information, the user can input the information template to be filled in to the system, and the information input module can automatically input the picture information into the information template so as to display the picture information on the information filling page. The user may specify a field name for each space to be filled in the form. For example, the left original size field name may be "left1", specifying that the identification field type is a handwritten number, the date field name may be "date1", and specifying that the identification field type is a handwritten date. Therefore, the recognition difficulty of the system is reduced, and the accuracy of information input is improved. The specific name of the space to be filled can be set by the user according to the needs of the user, and the space is not limited.
In order to prevent the system from directly uploading the error version which is not checked by the user, a user confirmation interface is preferably arranged in the system, and the interface can display the picture shot by the user and the form correspondingly filled according to the picture information. When the user confirms the form, that is, the form is qualified for uploading, the form can be uploaded under the condition of having a network environment. If the user does not confirm the form, the form is not uploaded even if an upload environment is provided.
In order to reduce the error rate and prevent uploading errors, a user can check the analyzed picture information in consideration of the situations that the picture blurring possibly causes the error recognition of a character recognition tool or the error of automatic information input and the like. Further, the data display module may have an information filled page. In this page, the user may modify the entered picture information. Further, considering that the user may not have an information uploading environment during inspection, when the user has the information uploading environment and the input of the picture information is confirmed to be completed by the user, the data display module can display the picture of the input information, so that the user can check the information, and the accuracy is improved.
Furthermore, in order to improve the accuracy of data identification, the data display module may further include a data correction module, where the module may compare the original data with the data obtained by detection and identification, and if there is an identification error item, the module may configure corresponding identification field error correction information in the background, so as to improve the scan identification accuracy in the real use process.
In order to realize the functions, the mining intelligent recognition and reporting system can further comprise a camera and an intelligent terminal loaded with the mining intelligent recognition and reporting system. Wherein the camera can be used for shooting the surrounding environment and face recognition. The user can operate the system on the intelligent terminal.
Example two
Based on the above, the application also provides a mining intelligent identification and reporting method, which comprises the following steps:
acquiring and checking user information based on the mobile terminal, and displaying an underground inspection task of the user according to the user information;
acquiring underground information according to the inspection task to obtain data, and cutting the data to obtain a picture to be identified;
recognizing and analyzing a picture to be recognized based on an OCR optical character recognition tool and a preset picture template in the mobile terminal to obtain JSON format data;
automatically inputting field information of JSON format data into a filling page;
store and upload data.
In this embodiment, as shown in fig. 2, the mine intelligent recognition and reporting method can be applied in consideration of poor mine network environment. In order to facilitate the carrying of the user and reduce the workload of the user, the user can use the intelligent mobile terminal which is convenient to carry, such as a smart phone, a head-mounted intelligent device and the like. When the intelligent mobile terminal checks and passes the user information, the mobile terminal can display the underground inspection task of the user according to the user information. The user can acquire underground information and obtain data according to the inspection task, and in order to reduce useless information in the picture and improve the picture information recognition rate, the user can cut the picture to be recognized. Further, based on an OCR optical character recognition tool and a preset picture template in the mobile terminal, recognizing a picture to be recognized, analyzing the picture to be recognized into JSON format data, and automatically inputting field information of the JSON format data into a filling page. And finally, storing and uploading the related data of the picture.
In order to achieve the above purpose, the application also provides an electronic device, which is characterized by comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the intelligent mining identification and reporting system when being executed by the processor.
In order to achieve the above object, the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program when executed by a processor implements the intelligent mining identification and reporting system as described above.
The application has the beneficial effects that: the application uses OCR digital recognition technology, the user photographs and scans the alphanumeric information on the form board, the equipment nameplate, the industrial instrument or the display screen through the camera, automatically recognizes the information to be collected as character data, and inputs the character data into the terminal reporting system, and the user can upload the character data into the system without manual item-by-item input in the underground operation, thereby improving the working efficiency of the user and the intelligent level of the system.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of implementing the present disclosure, and that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure.
Claims (10)
1. An intelligent identification and reporting system for mines, which is characterized by comprising:
the information verification module is used for acquiring user information and judging whether the user information has the use permission or not based on the user information;
the picture processing module is used for collecting pictures to be identified and identifying picture information on the pictures to be identified;
and the data transmission module is used for storing and uploading the picture information.
2. The mining intelligent recognition and reporting system of claim 1, further comprising a data display module for displaying a user's inspection route and inspection point locations.
3. The mining intelligent recognition and reporting system according to claim 1, wherein the picture processing module comprises an image acquisition module and a picture recognition module;
the image acquisition module is used for acquiring environmental information around a user in real time;
the picture identification module is used for automatically identifying pictures and analyzing the picture information into JSON format data.
4. The mining intelligent recognition and reporting system of claim 3, wherein the image acquisition module comprises a picture adjustment module for framing the acquired data region and cropping the picture during image acquisition.
5. The mining intelligent recognition and reporting system according to claim 1, wherein the data transmission module comprises a receiving management module and an information input module, wherein the receiving management module is used for storing the picture information and uploading the picture information to a terminal device or a server;
the information input module is used for automatically inputting the picture information into an information filling page.
6. The mining intelligent recognition and reporting system of claim 2 wherein the data display module is further operable to display an information reporting page, the contents of the information reporting page being modifiable by a user.
7. The mining intelligent recognition and reporting method is characterized by comprising the following steps of:
based on the obtained and verified user information, displaying the patrol task of the user according to the user information;
acquiring underground information according to the inspection task to obtain data, and cutting the data to obtain a picture to be identified;
recognizing the picture to be recognized based on an OCR optical character recognition tool and a preset picture template in the mobile terminal and analyzing the picture to be recognized into JSON format data;
automatically inputting field information of JSON format data into a filling page;
store and upload data.
8. The mining intelligent recognition and reporting method according to claim 7, further comprising comparing a preset picture template with the picture to be recognized, and if a recognition error item exists, configuring corresponding recognition field error correction information in a background of the mobile terminal according to difference data, and optimizing the preset picture template in real time.
9. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing a mining intelligent identification and reporting system as claimed in any one of claims 1 to 6.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when executed by a processor, the computer program implements a mining intelligent identification and reporting system according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310646661.0A CN116740692A (en) | 2023-06-02 | 2023-06-02 | Mining intelligent identification and filling system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310646661.0A CN116740692A (en) | 2023-06-02 | 2023-06-02 | Mining intelligent identification and filling system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116740692A true CN116740692A (en) | 2023-09-12 |
Family
ID=87909020
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310646661.0A Pending CN116740692A (en) | 2023-06-02 | 2023-06-02 | Mining intelligent identification and filling system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116740692A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202331472U (en) * | 2011-10-12 | 2012-07-11 | 孙鲁东 | Mine PDA (personal digital assistant) recorder with functions of fingerprint identification and encryption |
| CN110136290A (en) * | 2019-05-15 | 2019-08-16 | 南京促普软件技术有限公司 | Electricity power enterprise's intelligence tours of inspection method |
| CN110398571A (en) * | 2019-07-19 | 2019-11-01 | 精英数智科技股份有限公司 | The method for inspecting and system of detection device |
| CN210377085U (en) * | 2019-07-12 | 2020-04-21 | 华洋通信科技股份有限公司 | Underground water pump house inspection system for coal mine |
| CN113901950A (en) * | 2021-11-05 | 2022-01-07 | 上海派拉软件股份有限公司 | High-accuracy table OCR recognition method and system |
| CN116070605A (en) * | 2022-11-25 | 2023-05-05 | 中海油能源发展股份有限公司 | Automatic well report filling method, system and computer |
| CN116155985A (en) * | 2023-01-13 | 2023-05-23 | 哈尔滨海邻科信息技术有限公司 | Inspection system |
-
2023
- 2023-06-02 CN CN202310646661.0A patent/CN116740692A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202331472U (en) * | 2011-10-12 | 2012-07-11 | 孙鲁东 | Mine PDA (personal digital assistant) recorder with functions of fingerprint identification and encryption |
| CN110136290A (en) * | 2019-05-15 | 2019-08-16 | 南京促普软件技术有限公司 | Electricity power enterprise's intelligence tours of inspection method |
| CN210377085U (en) * | 2019-07-12 | 2020-04-21 | 华洋通信科技股份有限公司 | Underground water pump house inspection system for coal mine |
| CN110398571A (en) * | 2019-07-19 | 2019-11-01 | 精英数智科技股份有限公司 | The method for inspecting and system of detection device |
| CN113901950A (en) * | 2021-11-05 | 2022-01-07 | 上海派拉软件股份有限公司 | High-accuracy table OCR recognition method and system |
| CN116070605A (en) * | 2022-11-25 | 2023-05-05 | 中海油能源发展股份有限公司 | Automatic well report filling method, system and computer |
| CN116155985A (en) * | 2023-01-13 | 2023-05-23 | 哈尔滨海邻科信息技术有限公司 | Inspection system |
Non-Patent Citations (1)
| Title |
|---|
| 赵文才 等: "《煤矿智能化技术》", 30 April 2020, 煤炭工业出版社, pages: 365 - 368 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10339378B2 (en) | Method and apparatus for finding differences in documents | |
| US9785627B2 (en) | Automated form fill-in via form retrieval | |
| US20130238968A1 (en) | Automatic Creation of a Table and Query Tools | |
| US20150278248A1 (en) | Personal Information Management Service System | |
| CN104079587A (en) | Certificate identification device and certificate check system | |
| WO2020037547A1 (en) | Smart maintenance method and device for optical fiber network | |
| CN116052186A (en) | Multi-mode invoice automatic classification and identification method, verification method and system | |
| US9396389B2 (en) | Techniques for detecting user-entered check marks | |
| CN113850060A (en) | Civil aviation document data identification and entry method and system | |
| CN112686307A (en) | Method, device and storage medium for obtaining invoice based on artificial intelligence | |
| CN114283416A (en) | Processing method and device for vehicle insurance claim settlement pictures | |
| US9582230B1 (en) | Method and system for automated form document fill-in via image processing | |
| CN113159029A (en) | Method and system for accurately capturing local information in picture | |
| CN116740692A (en) | Mining intelligent identification and filling system | |
| CN116884037A (en) | Image recognition method, device, equipment and storage medium | |
| CN104992136B (en) | Identify the method and device of bar code | |
| WO2020037546A1 (en) | Optical fiber network smart management method and management system | |
| JP6879034B2 (en) | Programs, information processing equipment, and systems | |
| CN107644009B (en) | Transmission method and transmission system of book checking information | |
| JP7507600B2 (en) | Meter meter/installed equipment information management system, meter meter/installed equipment information management method, and meter meter/installed equipment information management program | |
| JP2017097859A (en) | Information processing device, and processing method and program thereof | |
| CN107944448A (en) | A kind of image asynchronous edit methods and device | |
| JP2013003909A (en) | System for collating picture before and after work | |
| JP2007011656A (en) | Character recognition system and character recognition method | |
| US11462014B2 (en) | Information processing apparatus and non-transitory computer readable medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |