CN107085766A - The big data analysis method of strategy instruction of getting the raw materials ready is carried out based on sales volume - Google Patents
The big data analysis method of strategy instruction of getting the raw materials ready is carried out based on sales volume Download PDFInfo
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- CN107085766A CN107085766A CN201710261912.8A CN201710261912A CN107085766A CN 107085766 A CN107085766 A CN 107085766A CN 201710261912 A CN201710261912 A CN 201710261912A CN 107085766 A CN107085766 A CN 107085766A
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- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
Abstract
The present invention provides a kind of big data analysis method for strategy instruction of being got the raw materials ready based on sales volume progress, comprises the following steps：（1）Capture product introduction picture；（2）Reject non-class product；（3）Every piece of area pixel point rgb value change curve will be drawn per pictures subregion；（4）Calculate each region RGB and be worth to picture RGB averages；（5）Each picture RGB averages are considered as same color picture in given threshold；（7）Corresponding shop sales volume data are read with color picture；（8）The color picture correspondence shop sales volume data in each shop are summed up into calculating and obtain corresponding product reproduction value；（9）Obtain the corresponding product and reach time span value needed for the reproduction value；（10）Calculate the preferred value of getting the raw materials ready in planned time.Beneficial effect of the present invention is：Analysis tool response is rapid, reliable results；Take resource few, save human cost.
Description
Technical field
The present invention relates to big data processing technology field, specifically refer to a kind of carry out getting the raw materials ready the big of strategy instruction based on sales volume
Data analysing method.
Background technology
Current production unit gets the raw materials ready policy development often according to having there is experience progress, there is great blindness, if can root
Analyzed according to electric business platform sales volume big data and then instruct enterprise to formulate strategy of getting the raw materials ready, it will substantially reduce inventory risk, because
And will bring great convenience using fast and reliable analysis tool.
The content of the invention
The goal of the invention of the present invention is standby based on sales volume progress there is provided one kind in view of the above-mentioned problems existing in the prior art
Expect the big data analysis method of strategy instruction.
Foregoing invention purpose is realized by following scheme：
The big data analysis method of strategy instruction of getting the raw materials ready is carried out based on sales volume, comprised the following steps：（1）According to given product classification
List, searches for and captures the product introduction picture of each product classification list correspondence classification of electric business platform；（2）Read product introduction figure
The corresponding product documentation of piece, in product documentation appearance and lists of keywords during the document information of mutual exclusion, by the product introduction picture
Rejected as non-class product, all product introduction pictures are used as processing pictures；（3）Every in pictures will be handled
Picture is divided into some pieces of regions, draws every piece of area pixel point rgb value change curve, chooses that rgb value change curve is gentle and picture
The minimum region of vegetarian refreshments rgb value limit D-value is assigned beyond respective weights coefficient, reference area as reference area to each region
Remaining region weight coefficient be less than reference area weight coefficient；（4）Each region RGB of weighted calculation is worth to picture RGB
Average；（5）All pictures in traversal processing pictures, calculate all picture RGB averages, each picture RGB averages are in setting one by one
It is considered as same color picture in threshold value；（7）Corresponding shop sales volume data are read with color picture；（8）By being somebody's turn to do for each shop
Color picture correspondence shop sales volume data sum up calculating and obtain corresponding product reproduction value；（9）The corresponding product is obtained to reach
Time span value needed for the reproduction value；（10）When the product reproduction value divided by required time span value are multiplied by with scheduled plan
Between obtain preferred value of getting the raw materials ready in planned time multiplied by estimating coefficient with occupation rate of market.
Further, remaining region beyond reference area according to center position with reference area central point distance by near
The setting weight coefficient that successively decreases is arranged to remote.
Further, remaining region beyond reference area is according to the proportional setting weight coefficient of region RGB average sizes.
Further, picture number of partitions is that the five-element five arrange totally 25 pieces.
Further, step（3）In also include pre-treatment step（3-1）：Reference dimension is set, by institute in processing pictures
There is picture scaling to be allowed to consistent with reference dimension.
Beneficial effect of the present invention is：Analysis tool response is rapid, reliable results；Take resource few, save human cost；
Stock or the shortage of stock effectively are prevented, production efficiency is greatly improved.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
The big data analysis method of strategy instruction of getting the raw materials ready is carried out based on sales volume, comprised the following steps：（1）According to given product
Tabulation, searches for and captures the product introduction picture of each product classification list correspondence classification of electric business platform；（2）Read product exhibition
The corresponding product documentation of diagram piece, in product documentation appearance and lists of keywords during the document information of mutual exclusion, by the product introduction
Picture is rejected as non-class product, and all product introduction pictures are used as processing pictures；（3）By in processing pictures
It is divided into some pieces of regions per pictures, draws every piece of area pixel point rgb value change curve, chooses rgb value change curve gentle
And the minimum region of pixel rgb value limit D-value assigns respective weights coefficient, reference area as reference area to each region
Remaining region weight coefficient in addition is less than reference area weight coefficient；（4）Each region RGB of weighted calculation is worth to the picture
RGB averages；（5）All pictures in traversal processing pictures, calculate all picture RGB averages one by one, and each picture RGB averages are being set
Determine to be considered as same color picture in threshold value；（7）Corresponding shop sales volume data are read with color picture；（8）By each shop
Color picture correspondence shop sales volume data sum up calculating and obtain corresponding product reproduction value；（9）The corresponding product is obtained to reach
Time span value to needed for the reproduction value；（10）The product reproduction value divided by required time span value are multiplied by with scheduled plan
Time obtains preferred value of getting the raw materials ready in planned time multiplied by estimating coefficient with occupation rate of market.
In the present embodiment, remaining region beyond reference area according to center position and reference area central point distance by
It is near to arrange the setting weight coefficient that successively decreases to remote.It can certainly be set as follows：Remaining region beyond reference area according to
The proportional setting weight coefficient of region RGB average sizes.
In the present embodiment, picture number of partitions is that the five-element five arrange totally 25 pieces.Step（3）In also include pre-treatment step（3-
1）：Reference dimension is set, all picture scalings in processing pictures are allowed to consistent with reference dimension.
Although the present invention is described by reference to preferred embodiment, those of ordinary skill in the art should
Work as understanding, the description of above-described embodiment can be not limited to, in the range of claims, can make each in form and details
Plant change.
Claims (5)
1. the big data analysis method for strategy instruction of being got the raw materials ready based on sales volume progress, it is characterised in that comprise the following steps：（1）According to
Given product classification list, searches for and captures the product introduction picture of each product classification list correspondence classification of electric business platform；（2）Read
The corresponding product documentation of product introduction picture is taken, in product documentation appearance and lists of keywords during the document information of mutual exclusion, by this
Product introduction picture is rejected as non-class product, and all product introduction pictures are used as processing pictures；（3）By processing figure
Every pictures that piece is concentrated are divided into some pieces of regions, draw every piece of area pixel point rgb value change curve, choose rgb value change
The region that curve is gentle and pixel rgb value limit D-value is minimum assigns respective weights coefficient as reference area to each region,
Remaining region weight coefficient beyond reference area is less than reference area weight coefficient；（4）Each region RGB of weighted calculation is worth
To picture RGB averages；（5）All pictures in traversal processing pictures, calculate all picture RGB averages, each picture RGB one by one
Average is considered as same color picture in given threshold；（7）Corresponding shop sales volume data are read with color picture；（8）Will be every
The color picture correspondence shop sales volume data in one shop sum up calculating and obtain corresponding product reproduction value；（9）Obtain this pair
Product is answered to reach the time span value needed for the reproduction value；（10）The product reproduction value divided by required time span value multiplied by with
The scheduled plan time obtains preferred value of getting the raw materials ready in planned time multiplied by estimating coefficient with occupation rate of market.
2. the big data analysis method of strategy instruction according to claim 1 of being got the raw materials ready based on sales volume progress, it is characterised in that：
Remaining region beyond reference area is according to center position and reference area central point distance by closely arranging setting of successively decreasing to remote
Weight coefficient.
3. the big data analysis method of strategy instruction according to claim 1 of being got the raw materials ready based on sales volume progress, it is characterised in that：
Remaining region beyond reference area is according to the proportional setting weight coefficient of region RGB average sizes.
4. the big data analysis method of strategy instruction according to claim 1 of being got the raw materials ready based on sales volume progress, it is characterised in that：
Picture number of partitions is that the five-element five arrange totally 25 pieces.
5. according to claim 1 is characterized in that step based on the get the raw materials ready big data analysis method of strategy instruction of sales volume
Suddenly（3）In also include pre-treatment step（3-1）：Reference dimension is set, all picture scalings in processing pictures are allowed to and base
Object staff cun is consistent.
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| CN1728161A (en) * | 2005-07-28 | 2006-02-01 | 上海交通大学 | Method for filtering sensing images based on heteropic quantized color feature vectors |
| US20080144946A1 (en) * | 2006-12-19 | 2008-06-19 | Stmicroelectronics S.R.L. | Method of chromatic classification of pixels and method of adaptive enhancement of a color image |
| CN101246593A (en) * | 2008-03-27 | 2008-08-20 | 北京中星微电子有限公司 | Color image edge detection method and apparatus |
| CN101588509A (en) * | 2009-06-23 | 2009-11-25 | 硅谷数模半导体（北京）有限公司 | Video picture coding and decoding method |
| CN103377376A (en) * | 2012-04-13 | 2013-10-30 | 阿里巴巴集团控股有限公司 | Method and system for image classification, and method and system for image retrieval |
| CN106169081A (en) * | 2016-06-29 | 2016-11-30 | 北京工业大学 | A kind of image classification based on different illumination and processing method |
| CN106227827A (en) * | 2016-07-25 | 2016-12-14 | 华南师范大学 | Image of clothing foreground color feature extracting method and costume retrieval method and system |
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2017
- 2017-04-20 CN CN201710261912.8A patent/CN107085766A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1728161A (en) * | 2005-07-28 | 2006-02-01 | 上海交通大学 | Method for filtering sensing images based on heteropic quantized color feature vectors |
| US20080144946A1 (en) * | 2006-12-19 | 2008-06-19 | Stmicroelectronics S.R.L. | Method of chromatic classification of pixels and method of adaptive enhancement of a color image |
| CN101246593A (en) * | 2008-03-27 | 2008-08-20 | 北京中星微电子有限公司 | Color image edge detection method and apparatus |
| CN101588509A (en) * | 2009-06-23 | 2009-11-25 | 硅谷数模半导体（北京）有限公司 | Video picture coding and decoding method |
| CN103377376A (en) * | 2012-04-13 | 2013-10-30 | 阿里巴巴集团控股有限公司 | Method and system for image classification, and method and system for image retrieval |
| CN106169081A (en) * | 2016-06-29 | 2016-11-30 | 北京工业大学 | A kind of image classification based on different illumination and processing method |
| CN106227827A (en) * | 2016-07-25 | 2016-12-14 | 华南师范大学 | Image of clothing foreground color feature extracting method and costume retrieval method and system |
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Application publication date: 20170822 |