CN108337323B - Instrument metering data AR comparison system and method based on full terminal - Google Patents
Instrument metering data AR comparison system and method based on full terminal Download PDFInfo
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- CN108337323B CN108337323B CN201810226351.2A CN201810226351A CN108337323B CN 108337323 B CN108337323 B CN 108337323B CN 201810226351 A CN201810226351 A CN 201810226351A CN 108337323 B CN108337323 B CN 108337323B
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- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000007726 management method Methods 0.000 claims abstract description 16
- 238000004891 communication Methods 0.000 claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000013523 data management Methods 0.000 claims abstract description 9
- 230000011218 segmentation Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
Abstract
The invention discloses a full-terminal-based instrument metering data AR comparison system and a full-terminal-based instrument metering data AR comparison method, wherein the system comprises a client, a server and a third-party system; the client comprises a task downloading module, an image acquisition module, an image identification module, an AR data comparison module and a task report look-up module; the server comprises a task management module, a data management module, an image cloud identification module and a data analysis module; the third-party system comprises a programmable logic device, a distributed control system and a communication interface module; the client is in communication connection with the server; and the third-party system is connected with the server through the communication interface module.
Description
Technical Field
The invention relates to the field of meter measurement, in particular to a system and a method for comparing meter measurement data AR based on a full terminal.
Background
In an industrial scene, for example, in industrial inspection, a large amount of meter measurement data is often required to be collected, stored, compared and analyzed, and the conventional method usually adopts manual collection, entry, comparison and analysis, and makes a report. This greatly increased enterprise's operation cost, needed more human input wherein, cost the time of multiple completion repetition business, increased unnecessary burden for the enterprise, greatly reduced work efficiency influences enterprise international competitiveness.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a full-terminal instrument metering data AR comparison system and method.
The technical scheme adopted by the invention for solving the technical problems is as follows: a full-terminal-based instrument metering data AR comparison system comprises:
the system comprises a client, a server and a third-party system;
the client comprises a task downloading module, an image acquisition module, an image identification module, an AR data comparison module and a task report look-up module; the server comprises a task management module, a data management module, an image cloud identification module and a data analysis module; the third-party system comprises a programmable logic device, a distributed control system and a communication interface module; the distributed control system is connected with the programmable logic device; the programmable logic device is connected with the instrument equipment; the client is in communication connection with the server; the third-party system is connected with the server through the communication interface module;
the method comprises the following steps that a user inputs the model and the route of the instrument equipment to be inspected through a web page, and a task list is generated by a task management module according to the model and the route of the instrument equipment; the client downloads the task list through the task downloading module; the client patrols and examines the instrument equipment according to the task list;
the third-party system collects first metering data of instrument equipment and sends the first metering data to a server through the communication interface module; the server sends the first metering data to the client; the client acquires an instrument device image through the image acquisition module; the image identification module identifies second metering data through the instrument device image and sends the second metering data to the server; the AR data comparison module compares the first metering data with the second metering data and visually presents a comparison result; the client side collects an instrument operation image of a manual detection instrument through the image collection module and sends the instrument operation image to the server; the server compares the instrument operation image with a standard operation image in the data analysis module and judges whether the instrument operation meets the standard or not;
if the image recognition module fails to recognize, the client uploads the instrument device image to the server; the image cloud recognition module in the server comprises a pre-trained image recognition model, recognizes second metering data of the instrument device image and sends the second metering data to the client;
the data analysis module analyzes the second metering data and sends an early warning signal to the client when the second metering data exceeds a normal range;
the client collects an instrument operation image and sends the instrument operation image to the server; the server compares the instrument operation image with a standard operation image in the data management module to judge whether the instrument operation is standard or not;
the server comprises an early warning module, and when the second metering data exceeds a normal range, an early warning signal is sent to the client; and the client presents the early warning signal in an AR visual mode.
Further, the task management module generates a task list; the task list comprises a plurality of tasks; the task comprises the model and the route of the instrument equipment; and the task downloading module downloads the task list.
Furthermore, the image identification module comprises a digital positioning module, a digital segmentation and extraction module and an instrument data identification module; the digital positioning module positions characters in an instrument device image; the digital segmentation and extraction module segments the characters, and the instrument data identification module identifies instrument data according to the segmentation result.
Further, the image cloud recognition module comprises a pre-trained image recognition model.
Further, the task management module generates a task report; the task report comprises first metering data, second metering data and whether the operation of the instrument meets the specification; and the task report form consulting module receives the task report form.
A full-terminal-based instrument metering data AR comparison method comprises the following steps:
the server generates a task list according to the instrument equipment and the model input by the web page; the task list comprises a plurality of tasks; the task comprises the model and the route of the instrument equipment; the server sends the task list to a client through a network; the client selects a task according to the task list;
the third-party system collects first metering data of the instrument equipment of the task and sends the first metering data to the server; the server sends the first metering data to the client;
the client acquires an instrument device image of the task; the client identifies second metering data according to the instrument device image; if the client side fails to identify, the client side uploads the instrument equipment image to the server, and the server identifies second metering data according to the instrument image and sends an identification result to the client side;
the client compares the first metering data with the second metering data and visually presents a comparison result;
the client collects an instrument operation image and sends the instrument operation image to the server; and the server compares the instrument operation image with the standard operation image in the data management module to judge whether the instrument operation is standard or not.
Further, after the task is finished, the server generates a task report; the task list comprises first metering data, second metering data and whether the operation of the instrument meets the specification.
The invention has the beneficial effects that: the functions of automatic identification, timely early warning, AR visual presentation and the like of the meter metering data are realized, and the behavior data of people are recorded, so that physical isolation between people and machines is realized, the most valuable data basis is provided for enterprises, the operation cost of the enterprises is reduced, the manpower input is reduced, the time input is reduced, the burden of the enterprises is reduced, and the working efficiency and the enterprise international competitiveness are improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a diagram of a data AR system of a metering device according to an embodiment of the present invention;
fig. 2 is a flowchart of a comparison method of data AR of a metering device according to an embodiment of the present invention.
Detailed Description
The conception, the specific structure, and the technical effects produced by the present invention will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the features, and the effects of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and those skilled in the art can obtain other embodiments without inventive effort based on the embodiments of the present invention, and all embodiments are within the protection scope of the present invention. In addition, all the connection/connection relations referred to in the patent do not mean that the components are directly connected, but mean that a better connection structure can be formed by adding or reducing connection auxiliary components according to specific implementation conditions. The technical features of the invention can be interactively combined without conflicting with each other, as shown in fig. 1 and 2.
A full-terminal-based instrument metering data AR comparison system comprises a client, a server and a third-party system;
the client is a handheld device or a wearable device; the handheld device comprises a watch, a bracelet, a mobile phone and a tablet; the wearable device comprises smart glasses; the client comprises a task downloading module, an image acquisition module, an image identification module, an AR data comparison module and a task report look-up module; the server comprises a task management module, a data management module, an image cloud identification module, a data analysis module and an early warning module; the third-party system comprises a programmable logic device, a distributed control system and a communication interface module; the client is in communication connection with the server; and the third-party system is connected with the server through the communication interface module.
The method comprises the following steps that a user inputs the model and the route of the instrument equipment to be inspected through a web page, and a task list is generated by a task management module according to the model and the route of the instrument equipment; the client downloads the task list through the task downloading module; and the client patrols and examines the instrument equipment according to the task list.
The distributed control system is connected with the programmable logic device; the programmable logic device is connected with instrument equipment distributed in different places; the third-party system collects first metering data of the instrument equipment according to the task list and sends the first metering data to the server through the communication interface module; the server sends the first metering data of the instrument equipment under the task list to the client through a task management module;
an image acquisition module of the client acquires an instrument device image; the image identification module identifies second metering data through the instrument device image and sends the second metering data to the server; the image identification module comprises a digital positioning module, a digital segmentation and extraction module and an instrument data identification module; the digital positioning module positions characters in an instrument device image; the digital segmentation and extraction module segments the characters, and the instrument data identification module identifies second metering data according to the segmentation result; if the image recognition module fails to recognize, the client uploads the instrument device image to the server; the image cloud recognition module in the server comprises a pre-trained image recognition model, recognizes second metering data of the instrument device image and sends the second metering data to the client; the AR data comparison module compares the first metering data with the second metering data and visually presents a comparison result.
The client acquires an instrument operation image through the image acquisition module and sends the instrument operation image to the server; and the server compares the instrument operation image with the standard operation image in the data analysis module to judge whether the instrument operation meets the standard or not. The data analysis module analyzes the second metering data and sends an early warning signal to the client when the second metering data exceeds a normal range; and the client presents the early warning signal in an AR visual mode.
The server generates a task report through the task management module; the task report comprises first metering data, second metering data and whether the operation of the instrument is standard or not; and the task report form looking up module looks up the task report form through a network.
In the implementation of the present invention, the server has the following functions:
1. task management
Inputting the model and the route of the instrument equipment to be inspected through a web page, and generating a task list by the task management module according to the model and the route of the instrument equipment;
2. data interfacing
And recording the meter data collected from the client and the third-party system into a server database.
3. Data comparison
The client identifies the meter metering data and uploads the meter metering data to the server, the meter metering data is automatically compared with the meter metering data collected by the third-party system, and the result is returned to the client.
4. Data statistics
And carrying out statistical analysis on the data in the database and providing a uniform interface for client access.
5. Data early warning
And analyzing instrument data collected from the client and the third-party system, generating an early warning signal for abnormal data, and feeding back the early warning signal to the client in real time.
6. Data report
After each task is finished, the background automatically generates a report; the task list comprises first metering data, second metering data and whether the operation of the instrument meets the specification.
7. Image storage
And storing the images acquired and uploaded by the client into a database of the corresponding task.
8. Image recognition
The server side identification scheme has two selection schemes:
(1) and the server side identifies the images which are failed to be identified by the client side.
(2) And the server side identifies all the images uploaded by the client side and compares the two identification results.
9. Configuration management
The server side can edit and modify the configuration of the metering data of the meter equipment accessed by the system, including the configuration of the display of the upper tolerance, the lower tolerance, the out-of-tolerance, the overflow and other data.
When the invention is implemented, the client has the following functions:
1. task update
And when the client is started, the client downloads the task list through the task downloading module.
2. Task initiation
And selecting a task to start according to the task list.
3. Image acquisition
The client side collects the instrument device image through the image collection module.
4. Image recognition
And the client identifies the meter data of the meter equipment through the image identification module.
5. Data upload
And when the client fails to identify the image, uploading the image to the server. The server obtains the instrument data through the recognition of the image cloud recognition module and sends the instrument data to the client.
6. Collecting behavioral data of a person
And collecting images when the instrument equipment is artificially detected, and uploading the collected images to a server.
Comparison of AR data
And the client automatically compares the meter metering data obtained through image recognition with the meter data collected by the third-party system, and presents a comparison result by adopting an AR method.
AR visual presentation
And (4) presenting the comparison result of the front end and the back end and the statistical result returned by the server end by AR (augmented reality), and presenting prompting animations such as 3D early warning animation, out-of-tolerance animation, overflow animation and the like, voice prompt and some visual data.
9. Generating task reports
The client can selectively view the task report generated by the server.
10. Visualization option configuration
The client can freely configure the data items displayed on the interface and submit the data items to the server for storage, wherein the data items comprise basic information superposition layers of equipment which are unfolded or folded, whether data comparison information is displayed, whether AR superposition animation is displayed, whether voice prompt information is broadcasted, and whether voice recognition is started.
A full-terminal-based instrument metering data AR comparison method comprises the following steps:
the server generates a task list according to the input of the web page, wherein the task list comprises a plurality of tasks, and the tasks comprise the models and the routes of the instrument equipment; the server sends the task list to the client through a network; the client selects a task according to the task list;
the third-party system collects first metering data of the instrument equipment corresponding to the task and sends the first metering data to the server; the server sends the first metering data to the client; the client acquires the instrument equipment image of the task; the client identifies second metering data according to the instrument device image; if the client side fails to identify, the client side uploads the instrument equipment image to the server, and the server identifies second metering data according to the instrument image and sends an identification result to the client side; the client compares the first metering data with the second metering data of the meter equipment, and visually presents the comparison result; the client collects an instrument operation image and sends the instrument operation image to the server; and the server compares the instrument operation image with the standard operation image in the data management module to judge whether the instrument operation is standard or not. After the task is finished, the server generates a task report corresponding to the task; the task list comprises first metering data, second metering data and whether the operation of the meter is standard or not.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. The utility model provides a meter measurement data AR comparison system based on full terminal which characterized in that:
the system comprises a client, a server and a third-party system;
the client comprises a task downloading module, an image acquisition module, an image identification module, an AR data comparison module and a task report look-up module; the server comprises a task management module, a data management module, an image cloud identification module and a data analysis module; the third-party system comprises a programmable logic device, a distributed control system and a communication interface module; the distributed control system is connected with the programmable logic device; the programmable logic device is connected with the instrument equipment; the client is in communication connection with the server; the third-party system is connected with the server through the communication interface module;
the method comprises the following steps that a user inputs the model and the route of the instrument equipment to be inspected through a web page, and a task list is generated by a task management module according to the model and the route of the instrument equipment; the client downloads the task list through the task downloading module; the client patrols and examines the instrument equipment according to the task list;
the third-party system collects first metering data of instrument equipment and sends the first metering data to a server through the communication interface module; the server sends the first metering data to the client; the client acquires an instrument device image through the image acquisition module; the image identification module identifies second metering data through the instrument device image and sends the second metering data to the server; the AR data comparison module compares the first metering data with the second metering data and visually presents a comparison result; the client side collects an instrument operation image of a manual detection instrument through the image collection module and sends the instrument operation image to the server; the server compares the instrument operation image with a standard operation image in the data analysis module and judges whether the instrument operation meets the standard or not;
if the image recognition module fails to recognize, the client uploads the instrument device image to the server; the image cloud recognition module in the server comprises a pre-trained image recognition model, recognizes second metering data of the instrument device image and sends the second metering data to the client;
the data analysis module analyzes the second metering data and sends an early warning signal to the client when the second metering data exceeds a normal range;
the client collects an instrument operation image and sends the instrument operation image to the server; the server compares the instrument operation image with a standard operation image in the data management module to judge whether the instrument operation is standard or not;
the server comprises an early warning module, and when the second metering data exceeds a normal range, an early warning signal is sent to the client; and the client presents the early warning signal in an AR visual mode.
2. The full-terminal based instrument metering data AR comparison system as claimed in claim 1, wherein said task management module generates a task list; the task list comprises a plurality of tasks; the task comprises the model and the route of the instrument equipment; and the task downloading module downloads the task list.
3. The full-terminal based instrument metering data AR comparison system as claimed in claim 1, wherein the image recognition module comprises a digital positioning module, a digital segmentation and extraction module, and an instrument data recognition module; the digital positioning module positions characters in an instrument device image; the digital segmentation and extraction module segments the characters, and the instrument data identification module identifies instrument data according to the segmentation result.
4. The full-terminal based instrument metering data AR comparison system as claimed in claim 1, wherein the image cloud recognition module comprises a pre-trained image recognition model.
5. The full-terminal based instrument metering data AR comparison system as claimed in claim 1, wherein said task management module generates a task report; the task report comprises first metering data, second metering data and whether the operation of the instrument meets the specification; and the task report form consulting module receives the task report form.
6. A full-terminal-based instrument metering data AR comparison method is characterized by comprising the following steps:
the server generates a task list according to the instrument equipment and the model input by the web page; the task list comprises a plurality of tasks; the task comprises the model and the route of the instrument equipment; the server sends the task list to a client through a network; the client selects a task according to the task list;
the third-party system collects first metering data of the instrument equipment of the task and sends the first metering data to the server; the server sends the first metering data to the client;
the client acquires an instrument device image of the task; the client identifies second metering data according to the instrument device image; if the client side fails to identify, the client side uploads the instrument equipment image to the server, and the server identifies second metering data according to the instrument image and sends an identification result to the client side;
the client compares the first metering data with the second metering data and visually presents a comparison result;
the client collects an instrument operation image and sends the instrument operation image to the server; and the server compares the instrument operation image with the standard operation image in the data management module to judge whether the instrument operation is standard or not.
7. The full-terminal based instrument metering data AR comparison method according to claim 6, characterized in that: after the task is finished, the server generates a task report; the task list comprises first metering data, second metering data and whether the operation of the instrument meets the specification.
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