CN105913267A - Informatization management method based on big data - Google Patents
Informatization management method based on big data Download PDFInfo
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- CN105913267A CN105913267A CN201610210268.7A CN201610210268A CN105913267A CN 105913267 A CN105913267 A CN 105913267A CN 201610210268 A CN201610210268 A CN 201610210268A CN 105913267 A CN105913267 A CN 105913267A
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- 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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Abstract
The invention discloses an informatization management method based on data, comprising that: a smallest unit of managed target articles is taken as an element, N elements constitute a subset and N subsets constitute an assembly; the elements, the subsets and the assemblies are taken as objects to realize product tracking and tracing through two-dimensional code identifiers integrating counterfeiting prevention, good fleeing prevention and marketing packaging and modern intelligentized information technology; each element corresponds to only one two-dimensional code, each subset corresponds to only one two-dimensional code, each assembly corresponds to only one two-dimensional code, and corresponding affiliation relations are established between each element and each subset and between each subset and each assembly through the only two-dimensional codes. The informatization management method based on big data solves problems of counterfeit and regional good fleeing in product management.
Description
Technical field
The present invention relates to a kind of management method, a kind of information system management ways based on big data.
Background technology
The fast development of market economy, promotes the diversification of market product and rich, fully meets
Consumer demand, but the problem being simultaneously also faced with the two big managements of product, it may be assumed that palm off false proof and region
String goods.
For a long time, fake and inferior commodities not only drastically influence the experience development of country, also jeopardizes and looks forward to
Industry and the vital interests of consumer.In order to protect business and consumer's interests, it is ensured that socialist market
Economic heath develops, and country and enterprise will spend substantial amounts of manpower and financial resources to crack down on counterfeit goods for false proof every year.
But the anti-fake product on domestic market, the anti-counterfeiting technology overwhelming majority that it uses remains at paper material
Making an issue of above, its technology does not possess uniqueness and independence, transreplication, thus can not play real anti-
Pseudo-effect.
Along with the fast development of market economy, the product of large enterprise, company or unit suffers distinct program
Impact is false proof, fake products and the most substantial amounts of appearance of string goods phenomenon, had a strong impact on consumer and business
The interests of family.It is mainly manifested in the industries such as drinks, food, Nicotiana tabacum L., medicine, once occurs that product is imitated
Emit and defective phenomenon, immeasurable loss will be brought to society and individual.The production of these products,
Circulation, use, it is desirable to have safe and effective false proof safeguard
Summary of the invention
It is an object of the invention to, overcome the deficiency of art methods, it is provided that be a kind of based on big data
Information system management way.
For achieving the above object, it is proposed that following technical scheme: a kind of informationizations based on big data
Management method, comprises the following steps:
S01, factory PMC, according to order, formulate the production schedule, and are uploaded to large data center, big data
Center, according to the production schedule, automatically generates the record of production on band date, and stores this record of production；
S02, production division are sent to the record of production on plant produced Edge Server according to large data center
Produce corresponding product；
S03, respectively according to the record of production product unit, product subset, product set are carried out two dimension and cover code；
S04, carry out the scanning, the record that put in storage, deliver from godown；
S05, logistics progress to product carry out barcode scanning record, and are uploaded to large data center；
S06, big data carry out anti-counterfeit recognition by consumer scans's product Quick Response Code, and obtain it and substantially believe
Breath；
S07, marketing or production division are according to the user profile of big data acquisition, and it is real-time to combine storage information
Adjust marketing or the production schedule.
Especially, described step S03 includes following sub-step:
S31, Edge Server, according to the record of production, automatically generate security code, and security code content are passed
Pass and cover decoding apparatus, cover after decoding apparatus receives security code content, product is covered code, when covering code
After merit, feeding back to Edge Server, Edge Server receives and covers after code successfully feeds back, edge service
Device is by this security code record；
S32, Edge Server, according to covering code feedback, after reaching a subset composition condition, are given birth to automatically
Become a subset Quick Response Code, and pass to cover decoding apparatus, carry out covering code, after covering code success, feed back to
Edge Server, after server receives feedback, sets up two dimension between subset and element (product unit)
The membership relation of code；
S33, Edge Server cover code feedback according to subset, when reaching after a collection is combined into condition, from
One set Quick Response Code of dynamic generation, and pass to cover decoding apparatus by Quick Response Code, carry out covering code, cover code success
After, feed back to Edge Server, after Edge Server receives feedback, set up set and subset, element
Between membership relation, and data be uploaded to large data center store.
The decoding apparatus that covers in described sub-step includes that laser covers code, ink covers code and thermal transfer covers code.
Essential information in described step S06 includes age, position, level of consumption and user mobile phone information.
Described product and Quick Response Code one_to_one corresponding, and stored by big data.
Also include the APP software of Antiforge inquiry with big real-time communication.
It is both-way communication between described APP and big data.When user buys counterfeit and shoddy goods time,
Report point of sale, mobile terminal can be passed through, after big data receive report, record this user profile, when passing through
The fake and forged information that this user provides, the when of searching out fake and forged den, can be according to big data
Record award, as an encouragement consumers in general participate in crack down on counterfeit goods.
This beneficial effect of the invention is to solve that the personation in the management of product is false proof and region string goods is asked well
Topic.
Accompanying drawing explanation
Fig. 1 is the information system management way flow charts based on big data that the present invention provides.
Detailed description of the invention
1 couple of present invention is further described in detail below in conjunction with the accompanying drawings: factory PMC according to market (or battalion
Pin department) order, to formulate the production schedule, and be uploaded to large data center, large data center is according to production
Plan, automatically generates the record of production on band date, and stores this record of production.
After large data center generates the record of production on band date, this record is sent and takes to plant produced edge
On business device, production division, according to the record of production, produces corresponding product, accomplishes have the record of production just to have
Produce, there is no the record of production, absolutely not produce.
After production, according to the record of production, each unit is (box, tank, bag, bar, little
Case, bottle etc.) finished product (element), carry out two dimension and cover code.Edge Server, according to the record of production, is given birth to automatically
Become security code, and pass to cover decoding apparatus by security code content, cover after decoding apparatus receives security code content,
Product being covered code, after covering code success, will be given and feed back to Edge Server, Edge Server connects
Receive cover decoding apparatus cover after code successfully feeds back, Edge Server is by this security code record.Cover decoding apparatus bag
Contain: laser covers code, ink covers code, thermal transfer covers code etc..
By N number of product unit, form a product subset (little case, bar, bag etc.), by N number of product
Collection one product set (big case, case, sack etc.) of composition.Cover code to respectively subset, set.Producing
During, Edge Server, according to covering code feedback, after reaching a subset composition condition, automatically generates
One subset Quick Response Code, and pass to cover decoding apparatus, carry out covering code, after covering code success, feed back to limit
Edge server, after server receives feedback, sets up Quick Response Code between subset and element (product unit)
Membership relation.When reaching after a collection is combined into condition, Edge Server covers code feedback according to subset,
Automatically generate a set Quick Response Code, and pass to cover decoding apparatus by Quick Response Code, carry out covering code, cover code
After merit, feed back to Edge Server, after Edge Server receives feedback, set up set and subset, unit
Membership relation between element, and data are uploaded to large data center store.
When production is complete, production division go to warehouse department, putting in storage when, enter in warehouse
Row scanning, puts in storage, and warehouse Edge Server records this product and puts in storage record；Deliver from godown at product, pass through thing
The when of flowing to market, by barcode scanning, record the record that delivers from godown of this product.In logistics progress, to product
Product carry out barcode scanning, record this product stream process, and which region product has entered, when product deliver from godown,
When arriving, when product is put on market, all can be passed through barcode scanning record.And record the most at last in result
Reach large data center.
When consumer buys this product when, Antiforge inquiry with big real-time communication can be downloaded
APP software, by the Quick Response Code above scanning product, to tell truth from falsehood, if big data have record, then
Product is true, if big data do not have this product record, is then imitation；Meanwhile, APP and big data it
Between communication be both-way communication, when scanning input product when, big data can obtain the basic of user
Information, comprises age, position, user mobile phone information etc..
Marketing (or market department) according to user profile of big data acquisition, in conjunction with warehouse storage situation and
Time do some advertising campaigns, production division can store up in conjunction with warehouse according to the customer consumption information of big data
Deposit situation, regulate the production schedule in real time.
Particularly the Quick Response Code of product is stored by big data, big data can and user between carry out
Communication, reaches true-false inquiring mesh ground, and the information of the biggest data record user inquiry, can be to sell ring
Joint provides favourable market information.Corresponding one yard of particularly one product, when a certain code is by the most different users
After inswept (or same code is in different location, and same time or time interval are the shortest, by different user
Inswept), big data record this information, and feed back to law enforcement agency, and auxiliary is cracked down on counterfeit goods.The biggest data with
Between user, communication is both-way communication, when user buys counterfeit and shoddy goods time, and can be by mobile
End report point of sale, after big data receive report, records this user profile, when provided by this user
Fake and forged information, the when of searching out fake and forged den, can encourage according to the record of big data
Encouraging, consumers in general participate in cracking down on counterfeit goods as an encouragement.
Above in conjunction with accompanying drawing, invention has been described, but the invention is not limited in above-mentioned concrete
Embodiment, above-mentioned detailed description of the invention is only schematic rather than restrictive, this area
Those of ordinary skill under the enlightenment of the present invention, without departing from present inventive concept and claimed
Ambit under, it may also be made that a lot of form, within these belong to the protection of the present invention.
Claims (7)
1. an information system management way based on big data, it is characterised in that comprise the following steps:
S01, factory PMC, according to order, formulate the production schedule, and are uploaded to large data center, big data
Center, according to the production schedule, automatically generates the record of production on band date, and stores this record of production；
S02, production division are sent to the record of production on plant produced Edge Server according to large data center
Produce corresponding product；
S03, respectively according to the record of production product unit, product subset, product set are carried out two dimension and cover code；
S04, carry out the scanning, the record that put in storage, deliver from godown；
S05, logistics progress to product carry out barcode scanning record, and are uploaded to large data center；
S06, big data carry out anti-counterfeit recognition by consumer scans's product Quick Response Code, and obtain it and substantially believe
Breath；
S07, marketing or production division are according to the user profile of big data acquisition, and it is real-time to combine storage information
Adjust marketing or the production schedule.
Information system management way based on big data the most according to claim 1, it is characterised in that:
Described step S03 includes following sub-step:
S31, Edge Server, according to the record of production, automatically generate security code, and security code content are transmitted
Covered decoding apparatus, cover after decoding apparatus receives security code content, product is covered code, when covering code success
After, feeding back to Edge Server, Edge Server receives and covers after code successfully feeds back, Edge Server
By this security code record；
S32, Edge Server, according to covering code feedback, after reaching a subset composition condition, automatically generate
One subset Quick Response Code, and pass to cover decoding apparatus, carry out covering code, after covering code success, feed back to limit
Edge server, after server receives feedback, sets up Quick Response Code between subset and element (product unit)
Membership relation；
S33, Edge Server cover code feedback according to subset, when reaching after a collection is combined into condition, automatically
Generate a set Quick Response Code, and pass to cover decoding apparatus by Quick Response Code, carry out covering code, after covering code success,
Feed back to Edge Server, after Edge Server receives feedback, set up between set and subset, element
Membership relation, and data be uploaded to large data center store.
Information system management way based on big data the most according to claim 2, it is characterised in that:
The decoding apparatus that covers in described sub-step includes that laser covers code, ink covers code and thermal transfer covers code.
Information system management way based on big data the most according to claim 1, it is characterised in that:
Essential information in described step S06 includes age, position, level of consumption and user mobile phone information.
Information system management way based on big data the most according to claim 1, it is characterised in that:
Described product and Quick Response Code one_to_one corresponding, and stored by big data.
Information system management way based on big data the most according to claim 1, it is characterised in that:
Also include the APP software of Antiforge inquiry with big real-time communication.
Information system management way based on big data the most according to claim 6, it is characterised in that:
It is both-way communication between described APP and big data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610210268.7A CN105913267A (en) | 2016-04-06 | 2016-04-06 | Informatization management method based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610210268.7A CN105913267A (en) | 2016-04-06 | 2016-04-06 | Informatization management method based on big data |
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| CN105913267A true CN105913267A (en) | 2016-08-31 |
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| CN201610210268.7A Pending CN105913267A (en) | 2016-04-06 | 2016-04-06 | Informatization management method based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106528712A (en) * | 2016-10-26 | 2017-03-22 | 国云科技股份有限公司 | Method for comparing whether one group of big data exists in other group of big data or not |
| CN106600292A (en) * | 2016-12-08 | 2017-04-26 | 上海尚源信息技术有限公司 | Commodity anti-bugsell management method |
| CN112200283A (en) * | 2020-10-30 | 2021-01-08 | 中国科学院自动化研究所 | Credible high-capacity representation carrier code assigning and reading system and method based on edge calculation |
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| CN104408627A (en) * | 2014-10-31 | 2015-03-11 | 许泽人 | Bottled commodity identification, bottle cap, packing case and production technology |
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Patent Citations (5)
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| CN1439991A (en) * | 2003-03-03 | 2003-09-03 | 谌晖 | Short message digital anti-counterfeiting, tracing and rating system |
| CN104408627A (en) * | 2014-10-31 | 2015-03-11 | 许泽人 | Bottled commodity identification, bottle cap, packing case and production technology |
| CN104463602A (en) * | 2014-12-04 | 2015-03-25 | 苏州天途网络有限公司 | Commodity anti-counterfeiting and anti-channel-conflict method |
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| CN106528712A (en) * | 2016-10-26 | 2017-03-22 | 国云科技股份有限公司 | Method for comparing whether one group of big data exists in other group of big data or not |
| CN106600292A (en) * | 2016-12-08 | 2017-04-26 | 上海尚源信息技术有限公司 | Commodity anti-bugsell management method |
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Application publication date: 20160831 |