CN110490528A - A kind of algorithm that warehouse is put in storage automatically and system - Google Patents
A kind of algorithm that warehouse is put in storage automatically and system Download PDFInfo
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- CN110490528A CN110490528A CN201910801161.3A CN201910801161A CN110490528A CN 110490528 A CN110490528 A CN 110490528A CN 201910801161 A CN201910801161 A CN 201910801161A CN 110490528 A CN110490528 A CN 110490528A
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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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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Abstract
The invention discloses a kind of algorithm that warehouse is put in storage automatically and system, algorithm includes S1, presets by mobile phone terminal APP and take pictures scanning to storage Goods hanging label；S2, the merchandise news recognized is transferred to big data platform；S3, big data platform accurately match merchandise news；If S4, reaching preset matching angle value, successful match, the merchandise news that will match to feeds back to mobile phone terminal, otherwise needs to fill in storage information manually, and by the data information memory not being matched in big data platform；S5, mobile phone terminal are filled into storage table in corresponding descriptive labelling respectively according to the data type fed back；Merchandise news directly or after amendment is submitted to Input System by S6, mobile phone terminal；S7, warehouse or institutional recipient complete automatic storage according to the transmission of mobile phone terminal instruction.System includes take pictures scan module, wireless communication module, information matches module, memory module.User can improve operating efficiency, reduce error rate directly by being put in storage on mobile phone line.
Description
Technical field
The present invention relates to storehouse management technical fields, and in particular to a kind of algorithm that warehouse is put in storage automatically and system.
Background technique
Staple commodities refer to the field that can circulate, but non-retail link, have item property and are used for industrial and agricultural production
The actuals of the high-volume dealing used with consumption.In financial investment market, staple commodities refer to homogeneity, can trade, is wide
The general commodity as industrial foundation raw material, such as crude oil, non-ferrous metal, steel, agricultural product, iron ore, coal.Including 3
Classification, i.e. energy commodity, basic raw material and agricultural and sideline product.
Patch drop can be carried out to every commodity when staple commodities steel mill outbound at present, so that institutional recipient or warehouse are entered
Library registration.Patch drop mode and the descriptive labelling arrangement defined due to each steel mill is variant, causes institutional recipient can only hand
Dynamic registration storage produces very big workload to Field Force, and is easy error.My company is investigated for this case
The algorithm of automatic identification drop information has been invented in research, solves the problems, such as that commodity storage is difficult.It is mainly achieved in that and passes through hand
Machine carries out drop and takes pictures scanning, scanning information is compared one by one with big data platform, and identified item property is believed
Breath, which is docked with warehouse system and is stored in warehouse system, to be put in storage.
Summary of the invention
The present invention provides a kind of algorithm that warehouse is put in storage automatically and system, allows users to directly pass through to enter on mobile phone line
Library substantially increases user's operation Experience Degree and user's operation efficiency, reduces operating mistake rate.
To achieve the above object, the present invention is implemented with the following technical solutions:
A kind of algorithm that warehouse is put in storage automatically, comprising the following steps:
S1, APP is preset by mobile phone terminal to needing the staple commodities drop being put in storage to carry out scanning of taking pictures, utilize Text region
Algorithm carries out Text region to taking a picture；
S2, mobile phone terminal by scanning recognition to merchandise news be transferred to staple commodities big data platform carry out data cleansing；
S3, big data platform according to big data to scanning recognition to merchandise news accurately matched, and calculate matching
Degree；
If S4, matching degree >=preset matching angle value are judged as successful match, the commodity that big data platform will match to are believed
Breath is fed directly to mobile phone terminal APP, otherwise, need to fill in manually storage information in the storage table in the APP, and will not
The data information memory being fitted on is in big data platform；
After S5, mobile phone terminal receive the data information after matching, according to the data type that big data platform is fed back, fill out respectively
It is charged in the storage table in corresponding staple commodities details description；
S6, mobile phone terminal are by automatic identification and matched merchandise news directly or after amendment submits to warehouse or institutional recipient
Input System；
S7, warehouse or institutional recipient instruct according to the transmission of mobile phone terminal and complete data loading.
Also packet step S8 as a preferred embodiment of the above solution: the maintenance personnel of big data platform will manually adjust current data
Whether matching next time is carried out as follow-up data template to use.
The mobile phone terminal is connect by wireless telecommunications with staple commodities big data platform as a preferred embodiment of the above solution,.
The merchandise news includes product name, the commodity place of production, merchandise classification, commodity rule as a preferred embodiment of the above solution,
Lattice, commodity picture, commodity material.
The big data platform filters out according to the merchandise news received and is pre-stored in big number as a preferred embodiment of the above solution,
In after corresponding commodity data, the two is compared, matching angle value, and verify data type are calculated, then by data class
Type and the corresponding item property being matched to feed back to mobile phone terminal together.
The preset matching angle value is set as 80% as a preferred embodiment of the above solution,.
As a preferred embodiment of the above solution, in step s 4, if matching degree < preset matching angle value, mobile phone terminal pops up dialog box
A certain attribute is not matched in prompt storage table.
A kind of system that warehouse is put in storage automatically, including scan module of taking pictures, wireless communication module, information matches module, deposit
Store up module；
It is interconnected between the scan module of taking pictures, information matches module and memory module by wireless communication module；
The scan module of taking pictures utilizes Text region algorithm to institute for carrying out scanning of taking pictures to staple commodities drop
It takes a picture and carries out Text region；
The wireless communication module is used to realize wireless communication between mobile phone terminal and big data platform；
The information matches module is filtered out for the merchandise news in big data platform according to scanning recognition and is pre-stored in
In big data after corresponding commodity data, the two is compared, calculates matching angle value, and verify data type；
The data information memory that the memory module is used to not to be matched to is in big data platform.
Due to above structure, the beneficial effects of the present invention are:
Using herein described algorithm and system, user can substantially increase user directly by being put in storage on mobile phone line
Operating experience degree and user's operation efficiency, reduce operating mistake rate.Meanwhile the commodity that mobile phone terminal can identify Current Scan
Information is stored in big data platform, identifies as knowledge precipitating convenient for subsequent new commodity.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described.
Fig. 1 is a kind of flow chart for the algorithm that warehouse is put in storage automatically of the present invention；
Fig. 2 is a kind of structural block diagram for the system that warehouse is put in storage automatically of the present invention.
Specific embodiment
Below in conjunction with attached drawing of the invention, technical solution of the present invention is clearly and completely described.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present embodiment provides a kind of algorithms that warehouse is put in storage automatically, comprising the following steps:
S1, APP is preset by mobile phone terminal to needing the staple commodities drop being put in storage to carry out scanning of taking pictures, utilize Text region
Algorithm carries out Text region to taking a picture；
S2, mobile phone terminal by scanning recognition to merchandise news be transferred to staple commodities big data platform carry out data cleansing；
S3, big data platform according to big data to scanning recognition to merchandise news accurately matched, and calculate matching
Degree；
If S4, matching degree >=preset matching angle value are judged as successful match, the commodity that big data platform will match to are believed
Breath is fed directly to mobile phone terminal APP, otherwise, need to fill in manually storage information in the storage table in the APP, and will not
The data information memory being fitted on is in big data platform；
After S5, mobile phone terminal receive the data information after matching, according to the data type that big data platform is fed back, fill out respectively
It is charged in the storage table in corresponding staple commodities details description；
S6, mobile phone terminal are by automatic identification and matched merchandise news directly or after amendment submits to warehouse or institutional recipient
Input System；
S7, warehouse or institutional recipient instruct according to the transmission of mobile phone terminal and complete data loading.
The maintenance personnel of big data platform can also manually adjust whether current data is used as follow-up data template to carry out down
Secondary matching uses.
Specifically, Field Force installs warehouse entry automatic recognition software first on mobile phone before staple commodities storage,
That is default APP described in step S1, then opens APP, it can be seen that the unified warehouse entry table stored in APP, then
Goods hanging label is scanned using the scanning function module of taking pictures in APP, and APP is using its internal Text region algorithm to being taken pictures
Piece carries out Text region, obtains text and/or number and or symbol.Wherein, storage table according to different warehouses or can receive
The needs of unit are fabricated separately and store, and also can be used and public enter library template；Text region algorithm can use existing skill
Art.
The mobile phone terminal passes through the quotient that wireless telecommunications connect with staple commodities big data platform, and APP scanning recognition is arrived
Product information is transferred to big data platform.Wherein, merchandise news includes but is not limited to product name, the commodity place of production, merchandise classification, quotient
Product specification, commodity picture, commodity material.
The big data platform is filtered out according to the merchandise news received is pre-stored in corresponding commodity data in big data
Afterwards, the information received is compared with prestored information, calculates matching angle value, and verify data type described in merchandise news,
Wherein, the algorithm for calculating matching degree can be realized using the prior art, if matching angle value is greater than or equal to preset matching angle value,
Think successful match, data type and the corresponding item property being matched to is fed back into mobile phone terminal together, otherwise, currently
Information will not feed back to mobile phone terminal, and mobile phone terminal will pop up a certain attribute in dialog box prompt storage table and be not matched to.At this time
Field Force is needed to fill in commodity storage information corresponding to associated data type manually in storage table.
The preset matching angle value can be set to 80% or the higher numerical value greater than 80%, be set as in this implementation
80%.
Include now the name of an article with Goods hanging label information: hot rolled ribbed bars 1, material: H40022, specification: 200*300, the place of production:
Wuhan 1；For needing typing information to include the name of an article, material, specification, the place of production in storage table, illustrate to commodity storage process
Illustrate:
Opening mobile phone presets APP, needs to be empty in the corresponding input frame of typing information in storage table in APP at this time, nothing is appointed
What text, Field Force is scanned using mobile phone photograph or upload pictures, and the information recognized is passed to background program and adjusted by mobile phone
Matching content is carried out with big data platform, big data platform matches each attribute respectively.
If match condition one, whole successful match: the name of an article is matched to 80% or more, material: being matched to 80% or more, rule
Lattice: it is matched to 80% or more, the place of production: is matched to 80% or more, then the content feed that big data platform directly will match to is to hand
Machine, and attribute filling is corresponded in mobile phone storage table, then operator clicks upload storage mark manually, completes data and enters
Library；
If match condition two, part attributes match success: the name of an article: be matched to 80% hereinafter, material: be matched to 80% with
Under, specification: it is matched to 80% or more, the place of production: being matched to 80% or more, big data platform is straight by the data for matching 80% or more
The reversed mobile phone that is fed to corresponds in attribute, and the information being not matched to will pop up dialog box and so-and-so is prompted attribute to be not matched to, behaviour
Make personnel and fill in the attribute being not matched to manually, then operator clicks upload storage mark manually, completes data loading.
With data type " name of an article ", for item property " hot rolled ribbed bars 1 ", specific matching process is as follows:
Relative information is searched in big data according to " hot rolled ribbed bars 1 " and filtered out to big data platform, if
Big data platform searches " hot rolled ribbed bars ", then is compared " hot rolled ribbed bars " and " hot rolled ribbed bars 1 ", meter
The degree of correlation (matching degree) of the two is calculated, and judges that data type corresponding to " hot rolled ribbed bars " reaches as the name of an article, matching degree
80%, then " hot rolled ribbed bars " and corresponding data type " name of an article " are fed back into mobile phone terminal, mobile phone terminal is automatically by " hot rolling
Ribbed Bar " is filled into " name of an article " corresponding input frame.If big data platform only searches " hot-rolled reinforced bar ", and hot-rolled reinforced bar
Corresponding data type is the name of an article, and " hot-rolled reinforced bar " and " hot rolled ribbed bars 1 " is compared calculating by big data platform
With degree, matching degree is less than 80%, then mobile phone terminal pop-up dialog box prompt " name of an article attribute is not matched to ".At this point, needing Field Force
" hot rolled ribbed bars 1 " are inserted in " name of an article " corresponding input frame manually.The screening matching process of remaining attribute is same as above.
As shown in Fig. 2, the present embodiment also provides a kind of system that warehouse is put in storage automatically, including it is scan module 1 of taking pictures, wireless
Communication module 2, information matches module 3, memory module 4；
Mutually it is connected between the scan module 1 of taking pictures, information matches module 3 and memory module 4 by wireless communication module 2
It connects；
Described take pictures scans 1 piece of mould for carrying out scanning of taking pictures to staple commodities drop, and utilizes Text region algorithm pair
It takes a picture and carries out Text region；
The wireless communication module 2 is used to realize wireless communication between mobile phone terminal and big data platform；
The information matches module 3 is filtered out for the merchandise news in big data platform according to scanning recognition and is pre-stored in
In big data after corresponding commodity data, the two is compared, calculates matching angle value, and verify data type；
The data information memory that the memory module 4 is used to not to be matched to is in big data platform.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of algorithm that warehouse is put in storage automatically, it is characterised in that: the following steps are included:
S1, APP is preset by mobile phone terminal to needing the staple commodities drop being put in storage to carry out scanning of taking pictures, utilize Text region algorithm
Text region is carried out to taking a picture；
S2, mobile phone terminal by scanning recognition to merchandise news be transferred to staple commodities big data platform carry out data cleansing；
S3, big data platform according to big data to scanning recognition to merchandise news accurately matched, and calculate matching degree；
If S4, matching degree >=preset matching angle value, it is judged as that successful match, the merchandise news that big data platform will match to are straight
Otherwise the reversed mobile phone terminal APP that feeds need to fill in manually storage information, and will not be matched in the storage table in the APP
Data information memory in big data platform；
After S5, mobile phone terminal receive the data information after matching, according to the data type that big data platform is fed back, it is filled into respectively
In the storage table in corresponding staple commodities details description；
S6, mobile phone terminal are by automatic identification and matched merchandise news directly or after amendment submits to entering for warehouse or institutional recipient
Library system；
S7, warehouse or institutional recipient instruct according to the transmission of mobile phone terminal and complete data loading.
2. algorithm according to claim 1, it is characterised in that: also packet step S8: the maintenance personnel of big data platform is by hand
Whether dynamic adjustment current data, which is used as follow-up data template to carry out matching next time, uses.
3. algorithm according to claim 1, it is characterised in that: the mobile phone terminal passes through wireless telecommunications and the big number of staple commodities
It is connected according to platform.
4. algorithm according to claim 1, it is characterised in that: the merchandise news includes product name, the commodity place of production, quotient
Category not, commercial specification, commodity picture, commodity material.
5. algorithm according to claim 1, it is characterised in that: the big data platform is sieved according to the merchandise news received
It selects and is pre-stored in big data after corresponding commodity data, the two is compared, calculate matching angle value, and verify data class
Then data type and the corresponding item property being matched to are fed back to mobile phone terminal by type together.
6. algorithm according to claim 1, it is characterised in that: the preset matching angle value is set as 80%.
7. algorithm according to claim 1, it is characterised in that: in step s 4, if matching degree < preset matching angle value, hand
A certain attribute is not matched in generator terminal pop-up dialog box prompt storage table.
8. a kind of system that warehouse is put in storage automatically, it is characterised in that: including scan module of taking pictures, wireless communication module, information
With module, memory module；
It is interconnected between the scan module of taking pictures, information matches module and memory module by wireless communication module；
The scan module of taking pictures is for carrying out scanning of taking pictures to staple commodities drop, and using Text region algorithm to being taken pictures
Piece carries out Text region；
The wireless communication module is used to realize wireless communication between mobile phone terminal and big data platform；
The information matches module filters out for the merchandise news in big data platform according to scanning recognition and is pre-stored in big number
In after corresponding commodity data, the two is compared, calculates matching angle value, and verify data type；
The data information memory that the memory module is used to not to be matched to is in big data platform.
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| CN201910801161.3A CN110490528A (en) | 2019-08-28 | 2019-08-28 | A kind of algorithm that warehouse is put in storage automatically and system |
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| CN201910801161.3A CN110490528A (en) | 2019-08-28 | 2019-08-28 | A kind of algorithm that warehouse is put in storage automatically and system |
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Cited By (2)
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| CN112418766A (en) * | 2020-11-25 | 2021-02-26 | 上海欧珏供应链管理有限公司 | Warehouse management system algorithm based on Internet |
| CN112966681A (en) * | 2021-04-12 | 2021-06-15 | 深圳市秦丝科技有限公司 | Method, equipment and storage medium for intelligent identification filing retrieval of commodity photographing |
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