CN105554079A - Remote manual product quality detection method based on mobile terminals - Google Patents
Remote manual product quality detection method based on mobile terminals Download PDFInfo
- Publication number
- CN105554079A CN105554079A CN201510903175.8A CN201510903175A CN105554079A CN 105554079 A CN105554079 A CN 105554079A CN 201510903175 A CN201510903175 A CN 201510903175A CN 105554079 A CN105554079 A CN 105554079A
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- China
- Prior art keywords
- product
- mobile terminal
- system service
- service end
- quality
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Classifications
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G47/00—Article or material-handling devices associated with conveyors; Methods employing such devices
- B65G47/74—Feeding, transfer, or discharging devices of particular kinds or types
- B65G47/90—Devices for picking-up and depositing articles or materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
Abstract
The invention discloses a remote manual product quality detection method based on mobile terminals. The method comprises the following steps: multiple camera devices are used to take pictures of a product, and the pictures are respectively transmitted to multiple terminals; users detect and score the product on the multiple terminals; and a system server works out the quality score of the product based on the scores and weights of the terminals and judges whether the product is qualified, and adjusts the weights of the terminals according to the statistical result. According to the detection method of the invention, the complex and changeful demand of industrial detection is creatively fused with local automatic detection, cloud platform-based detection and manual detection (through mobile terminals) via the Internet, and therefore, the effectiveness and operability and safety of the working process are improved.
Description
Technical field
The invention belongs to product quality detection technique field, particularly the techniques and methods that detects of a kind of product quality remote handle based on mobile terminal.
Background technology
At present, industry automatic control technology, computer technology, communication network technology effectively combine and are successfully applied to the every field such as industrial machinery.But because of the increasing of the complicated factor such as scale, project, test index of system under test (SUT), test data is difficult to integrated treatment, and the networking of transfer of data can not get better development and even stagnates.
Strict quality testing needs the quantitative target towards standard.Aulomatizeted Detect for some product can meet quantitative target requirement to a certain extent, but does not have universality.And artificial testing process to there is error comparatively large, easily occur when workload is various flase drop, the problem such as undetected causing quality testing effect entire lowering.
Traditional method of testing also exists the too much human resources of waste and manually guards a large amount of testing equipment, greatly reduces operating efficiency and adds the possibility of error.Particularly in the application that some is special, there is obvious problem in addition, such as in industry spot, severe production environment, staff can not rest on field observation equipment whether normal operation for a long time, just need image data and transmit the large environment facies of data in good OPS, using traditional wired data transfer mode will produce a lot of problem, poor operability, error increases, and even cannot transmit.
Summary of the invention
In order to solve the problem, the invention discloses a product quality remote handle detection method based on intelligent mobile terminal, use mobile terminal equipment to carry out manual detection, overcoming problems of the prior art.Detection method in the present invention passes through the Internet, creatively demand complicated and changeable for industrial detection is detected automatically with this locality, cloud detection of platform, manual detection (mobile terminal) merge mutually, improve the actual effect of the course of work, operability and fail safe.
The technical solution adopted for the present invention to solve the technical problems is:
1. picture collection
2. upload onto the server
3. server is distributed to mobile terminal fast
4. mobile terminal carries out picture analyzing, votes
5. result is restored to server
6. server statistics voting result
7. server sends that substandard product crawl is carried out in instruction, qualified products enter queue
Compared with prior art, the advantage that has of the present invention and beneficial effect are:
(1) problem that also can make full use of the idle labour of part can be solved, for China reproduces 3,000 ten thousand labours, make China continue to keep the advantage of demographic dividend;
(2) can realize the operating time, place property at any time, can be willingness;
(3) can realize strengthening the user oriented confidence level of product;
(4) people's target of not taking as the leading factor in can realizing detecting, reduces industrial human and material resources, time, the waste of financial resources and cost consumption.
(5) local detections automatically can be realized, cloud detection of platform, manual detection (mobile terminal) merge mutually, the actual effect of the raising course of work, operability and fail safe.
(6) can realize offering high-quality service towards high-risk service industry, remote operation industry etc., the problem that the personnel preventing work under bad environment from causing cannot normally work, to ensure the quality of product test use-case.
(7) due to artificial testing process, to there is error comparatively large, easily occurs flase drop, the problem such as undetected, the quality testing effect caused and operating efficiency entire lowering when workload is various.And The present invention reduces the possibility of people to the intentional or unintentional interference of testing result and error.
Accompanying drawing explanation
Fig. 1: systems soft ware general illustration;
Fig. 2: multiterminal work in coordination with simple analog realization figure.
Embodiment
The scene of the embodiment of the present invention exports goods based on arranging machine, and goods transmits on a moving belt, and can be operated by mechanical arm, but the present invention is not limited thereto plant scene, other production environment also can be applicable equally.
See Fig. 1, after product exports from arranging machine (not shown), enter product conveyer belt to be detected, there is an infrared inductor (not shown) near the precalculated position of this conveyer belt, when the product on conveyer belt is through this position, this infrared inductor can sense this product, around this precalculated position, also there is the identification record of n platform and photographing device, the identification record of described n platform and photographing device are disposed in diverse location, they can be taken the different angles of the product arriving this precalculated position, concrete camera site can be different according to the difference of specific product.Described infrared inductor and identification record and photographing device are all connected to a network switching equipment, when infrared inductor senses that product is through out-of-date, all identification records and photographing device will be notified immediately, each identification record and photographing device are taken pictures to this product immediately after receiving notice, thus obtain the product photo that n opens different angles.Then, this n opens photo is uploaded to data center system service end by each identification record and photographing device, and system service end gives product IDs number according to the order of product, and the n of this product is opened photo and its ID association store.
Then described n is opened photo and is sent on n mobile terminal respectively by system service end, and this n mobile terminal can be dissimilar terminal, comprise smart mobile phone, flat board etc., thus the user of each mobile terminal can see the photo of this product.The product photo that the user of each mobile terminal sees according to it, gives the marking of this product quality, i.e. the quality score of this product on mobile terminals.The scoring of the product quality of acquisition is sent it back system service end by each mobile terminal, and system service end, according to the product quality scoring obtained, determines the final mass mark of product.
Concrete final mass divides number calculating method can multiple different specific design, but final what embody is multiple mobile terminals voting identical product.Here is the concrete steps of computational methods according to an embodiment of the invention:
1) suppose that n mobile terminal is respectively T
1, T
2,, T
3..., T
n, and system service end gives each mobile terminal a weight, if mobile terminal T
iweight be W
i(1≤i≤n), the initial weight of all mobile terminals is all 1.
2) mobile terminal T is supposed
ithe quality score that provides of user be S
i(0≤S
i≤ 100), then system service end according to the final mass mark S of following formulae discovery product:
3), obtain the final mass mark S of product at system service end after, if S is less than predetermined quality threshold A, then judge that this product quality is defective, otherwise product is up-to-standard.
4) weight of each mobile terminal is adjusted, for mobile terminal T
iif, the defective and S of product quality
i< A, then W
iincrease by 1, if qualified product and S
i>=A, then W
iincrease by 1.
Product is after passing through product conveyer belt to be detected, three-dimensional screening candidate regions conveyer belt will be entered, etc. to be screened, if system service end judges that this product is defective, then system service end sends to mechanical arm control end by this product No. ID by the network switching equipment, and the mechanical arm that mechanical arm control end controls on conveyer belt captures this substandard product.
Above-described embodiment of the present invention, does not form limiting the scope of the present invention.Any amendment done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within claims of the present invention.
Claims (4)
1., based on a product quality remote person detection method for mobile terminal, it is characterized in that, the method comprises the steps:
1) infrared inductor and the identification record of n platform and photographing device are installed in the precalculated position of product conveyer belt to be detected, the identification record of described n platform and photographing device are disposed in diverse location, make them can carry out the shooting of different angles to the product arriving this precalculated position;
2) when infrared inductor senses that product is through out-of-date, notifies all identification records and photographing device immediately, each identification record and photographing device are taken pictures to this product immediately after receiving notice, thus obtain the product photo that n opens different angles.
3) the described product photo upload that obtained of each identification record and photographing device is to the system service end of data center;
4) described n is opened photo and is sent to respectively on n mobile terminal by system service end, thus the user of each mobile terminal can see the photo of this product;
5) the product photo seen according to it of the user of each mobile terminal, gives the marking of this product quality, i.e. the quality score of this product on mobile terminals;
6) scoring of the product quality of acquisition is sent it back system service end by each mobile terminal, and system service end, according to the product quality scoring obtained, determines the final mass mark S of product;
7) if S is less than predetermined quality threshold, then system service end judges that this product quality is defective, otherwise qualified product;
8) if system service end judges that this product quality is defective, then system service end announcement machine mechanical arm control end, the mechanical arm that mechanical arm control end controls on conveyer belt captures this product underproof.
2. the method for claim 1, is characterized in that, system service end is according to the final mass mark S of following step determination product:
A) suppose that n mobile terminal is respectively T
1, T
2,, T
3..., T
n, and system service end gives each mobile terminal a weight, if mobile terminal T
iweight be W
i(1≤i≤n), the initial weight of all mobile terminals is all 1.
B) mobile terminal T is supposed
ithe quality score that provides of user be S
i(0≤S
i≤ 100), then system service end according to the final mass mark S of following formulae discovery product:
C), obtain the final mass mark S of product at system service end after, if S is less than predetermined quality threshold A, then judge that this product quality is defective, otherwise product is up-to-standard.
D) weight of each mobile terminal is adjusted, for mobile terminal T
iif, the defective and S of product quality
i< A, then W
iincrease by 1, if qualified product and S
i>=A, then W
iincrease by 1.
3. the method as described in claim 1-2 any one, wherein infrared inductor, identification record and photographing device, mechanical arm control end, system service end are all connected to the network switching equipment, are communicated by this network switching equipment.
4. the method as described in claim 1-3 any one, is wherein communicated by wireless network between system service end with each terminal.
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CN201510903175.8A CN105554079B (en) | 2015-12-09 | 2015-12-09 | A kind of product quality remote handle detection method based on mobile terminal |
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CN201510903175.8A CN105554079B (en) | 2015-12-09 | 2015-12-09 | A kind of product quality remote handle detection method based on mobile terminal |
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CN105554079A true CN105554079A (en) | 2016-05-04 |
CN105554079B CN105554079B (en) | 2018-10-02 |
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106092959A (en) * | 2016-06-30 | 2016-11-09 | 上海仪器仪表研究所 | A kind of near-infrared food quality based on cloud platform monitoring system |
CN106335043A (en) * | 2016-10-14 | 2017-01-18 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method based on human body infrared thermal imaging detection |
CN106346473A (en) * | 2016-10-14 | 2017-01-25 | 广州励丰文化科技股份有限公司 | Mechanical arm console based on voice detection of performance sites and method thereof |
CN106363628A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method for combining multiple rails with local media |
CN106363632A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control table and method based on near field communication detection |
CN106363630A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method for combining local media with near field communication detection |
CN106363626A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Human infrared thermal imaging and remote medium combined mechanical arm console and control method |
CN106363631A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control table and method based on ultrasonic distance measuring |
CN106564053A (en) * | 2016-10-14 | 2017-04-19 | 广州励丰文化科技股份有限公司 | Mufti-rail and remote media combined mechanical arm control console and method |
CN112766651A (en) * | 2020-12-31 | 2021-05-07 | 上海倍通医药科技咨询有限公司 | Method for data analysis |
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CN101042357A (en) * | 2007-04-11 | 2007-09-26 | 华中科技大学 | On-line detection device of defects in float glass based on machine vision |
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CN1806940A (en) * | 2006-01-23 | 2006-07-26 | 湖南大学 | Defective goods automatic sorting method and equipment for high-speed automated production line |
CN101042357A (en) * | 2007-04-11 | 2007-09-26 | 华中科技大学 | On-line detection device of defects in float glass based on machine vision |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106092959A (en) * | 2016-06-30 | 2016-11-09 | 上海仪器仪表研究所 | A kind of near-infrared food quality based on cloud platform monitoring system |
CN106092959B (en) * | 2016-06-30 | 2019-03-19 | 上海仪器仪表研究所 | A kind of near-infrared food quality monitoring system based on cloud platform |
CN106335043A (en) * | 2016-10-14 | 2017-01-18 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method based on human body infrared thermal imaging detection |
CN106346473A (en) * | 2016-10-14 | 2017-01-25 | 广州励丰文化科技股份有限公司 | Mechanical arm console based on voice detection of performance sites and method thereof |
CN106363628A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method for combining multiple rails with local media |
CN106363632A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control table and method based on near field communication detection |
CN106363630A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control console and method for combining local media with near field communication detection |
CN106363626A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Human infrared thermal imaging and remote medium combined mechanical arm console and control method |
CN106363631A (en) * | 2016-10-14 | 2017-02-01 | 广州励丰文化科技股份有限公司 | Mechanical arm control table and method based on ultrasonic distance measuring |
CN106564053A (en) * | 2016-10-14 | 2017-04-19 | 广州励丰文化科技股份有限公司 | Mufti-rail and remote media combined mechanical arm control console and method |
CN106564053B (en) * | 2016-10-14 | 2018-10-16 | 广州励丰文化科技股份有限公司 | The mechanical arm console and method that a kind of multi-track is combined with remote media |
CN112766651A (en) * | 2020-12-31 | 2021-05-07 | 上海倍通医药科技咨询有限公司 | Method for data analysis |
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