CN112365125A - Building material rapid use and distribution working method through big data analysis - Google Patents
Building material rapid use and distribution working method through big data analysis Download PDFInfo
- Publication number
- CN112365125A CN112365125A CN202011112626.3A CN202011112626A CN112365125A CN 112365125 A CN112365125 A CN 112365125A CN 202011112626 A CN202011112626 A CN 202011112626A CN 112365125 A CN112365125 A CN 112365125A
- Authority
- CN
- China
- Prior art keywords
- building material
- distribution
- material distribution
- building
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 239000004566 building material Substances 0.000 title claims abstract description 416
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000007405 data analysis Methods 0.000 title claims abstract description 10
- 239000000463 material Substances 0.000 claims abstract description 30
- 230000008569 process Effects 0.000 claims description 45
- 230000006399 behavior Effects 0.000 claims description 36
- 239000004035 construction material Substances 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 description 3
- 230000007423 decrease Effects 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 239000013598 vector Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
- G06Q10/08—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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- General Health & Medical Sciences (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a quick use and distribution working method for building materials through big data analysis, which comprises the following steps: the data distribution times of each building material in the control parameters of the building materials to be distributed are accumulated, the filling times of the building materials are accumulated, and the corresponding distribution coefficients of the building materials are calculated by using the control parameters of the distribution materials to be distributed; the number of times of data distribution of each building material and the distribution coefficient of the building materials are used as the output of control parameters of distribution materials needing to be distributed; acquiring expected values of building material distribution according to control parameters required to be distributed for distributing materials, and acquiring predicted values of each building material in different building material attributes; and forming a building material distribution range value according to the building material distribution expected value and each building material estimated value, and acquiring distribution control convergence information of each building material estimated value.
Description
Technical Field
The invention relates to the field of computer software, in particular to a quick use and distribution working method for building materials through big data analysis.
Background
Along with the needs of urban construction development, a large amount of infrastructure construction is continuously promoted, because construction sites need a large amount of construction materials, under the huge requirement of the construction materials, great challenges are provided for flexible distribution and rapid operation of the construction materials in the construction sites, if the construction materials are still manually allocated according to the prior art, low efficiency and management carelessness are certainly caused, efficient and flexible distribution under the mass data of the construction materials cannot be solved, and the technical problem of solving the corresponding technical problems by technical personnel in the field is urgently needed.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides a quick use and distribution working method for analyzing building materials through big data.
In order to achieve the above object of the present invention, the present invention provides a rapid use and distribution work method of building materials through big data analysis, comprising the steps of:
s1, the number of times of data distribution of each building material in the control parameters of the building materials needing to be distributed, the number of times of filling the building materials are accumulated, and the corresponding distribution coefficient of the building materials is calculated by using the control parameters of the distribution materials needing to be distributed; the number of times of data distribution of each building material and the distribution coefficient of the building materials are used as the output of control parameters of distribution materials needing to be distributed; acquiring expected values of building material distribution according to control parameters required to be distributed for distributing materials, and acquiring predicted values of each building material in different building material attributes; forming a building material distribution range value according to the building material distribution expected value and each building material predicted value, and acquiring distribution control convergence information of each building material predicted value, wherein the building material distribution range value comprises the number of times of distribution of each building material data distributed by each building material data, the number of times of filling accumulated building materials and the number of times of filling accumulated building materials;
s2, calculating to obtain an initial value of each building material distribution convergence interval according to the building material distribution control type and the building material distribution range value of each building material estimated value; according to the building material distribution range value, the times of distributing each kind of building material data distributed by each kind of building material data, the times of filling accumulated building materials and the times of filling accumulated building materials are included; inquiring a building material distribution control information table to obtain a plurality of building material distribution convergence parameters;
s3, determining a plurality of convergence parameters of building material distribution and a bracelet parameter balance value of an initial building material distribution type to obtain a plurality of convergence parameter balance values; calculating distribution results of the multiple convergence parameter balance values and corresponding control parameters of distribution materials to be distributed, and processing the control parameters of the distribution materials to be distributed according to distribution process information in the building material distribution results to obtain multiple building material distribution control sets;
s4, sequentially extracting building material distribution correlation processes with a plurality of building material distribution convergence parameter sets, taking building material distribution correlation units in the concentrated building material distribution correlation processes as fast distribution units, and respectively and sequentially generating building material distribution sequences corresponding to each building material distribution process according to the concentrated building material distribution correlation processes;
s5, respectively matching the association strength of the rapid distribution units in the centralized building material distribution association process with each building material distribution sequence, and corresponding the association strength to the sequence length of the building material distribution sequence; setting corresponding building material distribution association nodes for each building material distribution sequence according to the association strength matched with each building material distribution sequence, forming association relations for the building material distribution sequences of the building material distribution association nodes according to a centralized building material distribution association process, and acquiring a building material rapid distribution model from a building material distribution model corresponding to the formed association relations according to the types of a plurality of building material distribution control sets corresponding to each building material distribution sequence completing the association relations; combining the building material distribution coefficients of each building material rapid distribution model to obtain corresponding rapid distribution coefficients,
s6, generating a mirror image coding space for recording the building material distribution mirror image file, mapping the building material distribution mirror image file to a mirror image preparation space, and setting the distribution state of the building material distribution mirror image file according to the type of the building material; judging whether the building material distribution is in a state of executing building material distribution control parameters according to the distribution state, and determining the building material distribution coefficient according to an analysis instruction when the distribution flow information in the building material distribution result is not in a threshold value limited by the building material distribution coefficient; analyzing a building material distribution coefficient in the judgment process, determining building material data distribution for distributing the building material data to be distributed according to the building material distribution coefficient and distributing process parameters for each building material, performing mirror image search on each data distribution node related to the building material data to be distributed according to the building material distribution control process parameters, and determining distribution type attributes corresponding to the building material data to be distributed; determining building material distribution queues according to distribution type attributes, extracting behavior distribution data of building material distribution business behaviors, extracting a business mirror area of the building material distribution business behaviors by using a set threshold value, and extracting a building material distribution set of each building material distribution data associated with a plurality of building material distribution queues.
Preferably, the method further comprises the following steps:
and generating a plurality of logic association sections for the building material logic blocks in the building material allocation behaviors according to the logic association relation according to at least two building material allocation behaviors associated in the set, calculating the building material allocation difference between all the building material logic blocks in the next building material allocation behavior and all the building material logic blocks in the previous building material allocation behavior, and corresponding to a building material allocation association relation table according to each obtained difference.
Preferably, the method further comprises the following steps:
according to the building material distribution incidence relation table, building material logic blocks are matched according to the logic incidence relation, and the building material distribution space is established when the difference between each building material logic block of the two logic incidence sections is smaller than the maximum logic difference of the building material distribution behaviors in the logic difference; in the building of each building material distribution space, distributing a distribution interval of each building material distribution behavior space, and mirroring the building material distribution behavior spaces according to building material distribution behavior expression data to obtain a plurality of mirrored building material distribution intervals; matching according to the distribution interval of the building material distribution behavior space and the building material distribution intervals of the plurality of mirror images to obtain a matching interval of building material distribution; and obtaining target data distribution of the building material distribution to be distributed from the matching interval, and then extracting distribution control flow parameters of each building material distribution.
In conclusion, due to the adoption of the technical scheme, the invention has the beneficial effects that:
a plurality of building material distribution convergence parameters are sequentially extracted from building materials through big data analysis, a building material distribution correlation process is implemented, a building material distribution sequence is called in real time, distribution data are reasonably planned in a building material distribution data set, and the building materials are quickly matched and called, so that data updating and extraction are completed.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a general schematic of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the invention discloses a rapid use and distribution working method for building materials through big data analysis, which comprises the following steps:
s1, acquiring a first execution task of material statistics corresponding to building material data to be distributed in the building material data and a second execution task of material work corresponding to the distributed building material data to be distributed; comparing the difference between the quantity of building material between the first executive task material statistics and the second executive task allocation material jobs; when the difference is not in the difference range of the set material statistics, determining control parameters needing to be distributed for the distributed materials in the building material statistical data according to the distributed materials;
s2, after determining the control parameters, sending an allocation request containing building material data identification to the rapid allocation unit, wherein the allocation request is used for requesting a material statistics identification stored by the first execution task to correspond to a building material data source; receiving material distribution data fed back by the rapid distribution unit according to the difference, and determining at least a data source of building material distribution according to the distribution data;
s3, obtaining a building material data calibration sequence corresponding to the material statistics from the rapid distribution unit according to the difference; calculating the material distribution space of the building material data calibration sequence according to the building material distribution objective function control model,
the objective function control model isWherein u isiCalculating an objective function for building material data, wherein lambda is a characteristic mean value of the building material with the category of x, and setting a building material constant gamma, and k is an estimated hidden variable allocated to the building material;
s4, constraining the first distribution range of the building materials through the objective function control model, obtaining a second distribution range where the building material data sequence is located, and taking the second distribution range as an initial distribution expression area of the next building material data sequence; building material distribution updating is carried out through the objective function control model to obtain an updated objective function control model, initial building material distribution content corresponding to a previous building material data sequence is divided according to updated objective function control to obtain an initial distribution expression area corresponding to a next building material data sequence, and building material distribution results are obtained until building material data in the building material data sequence are completely distributed;
s5, accumulating the times of filling the building materials according to the times of data distribution of each building material in the control parameters of the building materials needing to be distributed, and calculating the corresponding distribution coefficient of the building materials by using the control parameters of the distribution materials needing to be distributed; the number of times of data distribution of each building material and the distribution coefficient of the building materials are used as the output of control parameters of distribution materials needing to be distributed; acquiring expected values of building material distribution according to control parameters required to be distributed for distributing materials, and acquiring predicted values of each building material in different building material attributes; forming a building material distribution range value according to the building material distribution expected value and each building material predicted value, and acquiring distribution control convergence information of each building material predicted value, wherein the building material distribution range value comprises the number of times of distribution of each building material data distributed by each building material data, the number of times of filling accumulated building materials and the number of times of filling accumulated building materials;
s6, calculating to obtain an initial value of each building material distribution convergence interval according to the building material distribution control type and the building material distribution range value of each building material estimated value; according to the building material distribution range value, the times of distributing each kind of building material data distributed by each kind of building material data, the times of filling accumulated building materials and the times of filling accumulated building materials are included; inquiring a building material distribution control information table to obtain a plurality of building material distribution convergence parameters;
determining a plurality of convergence parameters of building material distribution and a hand chain parameter balance value of an initial building material distribution type to obtain a plurality of convergence parameter balance values; calculating distribution results of the multiple convergence parameter balance values and corresponding control parameters of distribution materials to be distributed, and processing the control parameters of the distribution materials to be distributed according to distribution process information in the building material distribution results to obtain multiple building material distribution control sets;
sequentially extracting building material distribution association processes with concentrated building material distribution convergence parameters, taking building material distribution association units in the concentrated building material distribution association processes as quick distribution units, and respectively and sequentially generating building material distribution sequences corresponding to each building material distribution process according to the concentrated building material distribution association processes;
s7, respectively matching the association strength of the rapid distribution units in the centralized building material distribution association process with each building material distribution sequence, and corresponding the association strength to the sequence length of the building material distribution sequence; setting corresponding building material distribution association nodes for each building material distribution sequence according to the association strength matched with each building material distribution sequence, forming association relations for the building material distribution sequences of the building material distribution association nodes according to a centralized building material distribution association process, and acquiring a building material rapid distribution model from a building material distribution model corresponding to the formed association relations according to the types of a plurality of building material distribution control sets corresponding to each building material distribution sequence completing the association relations; combining the building material distribution coefficients of each building material rapid distribution model to obtain corresponding rapid distribution coefficients, and executing S8;
s8, generating a mirror image coding space for recording the building material distribution mirror image file, mapping the building material distribution mirror image file to a mirror image preparation space, and setting the distribution state of the building material distribution mirror image file according to the type of the building material; judging whether the building material distribution is in a state of executing building material distribution control parameters according to the distribution state, and determining the building material distribution coefficient according to an analysis instruction when the distribution flow information in the building material distribution result is not in a threshold value limited by the building material distribution coefficient; analyzing a building material distribution coefficient in the judgment process, determining building material data distribution for distributing the building material data to be distributed according to the building material distribution coefficient and distributing process parameters for each building material, performing mirror image search on each data distribution node related to the building material data to be distributed according to the building material distribution control process parameters, and determining distribution type attributes corresponding to the building material data to be distributed; determining building material distribution queues according to distribution type attributes, extracting behavior distribution data of building material distribution business behaviors, extracting a business mirror area with set threshold values as the building material distribution business behaviors, and extracting a building material distribution set of each building material distribution data associated with a plurality of building material distribution queues;
s9, generating a plurality of logic association sections according to the logic association relationship of the building material logic blocks in the building material allocation behaviors according to at least two building material allocation behaviors associated in the set, calculating the building material allocation difference between all the building material logic blocks in the next building material allocation behavior and all the building material logic blocks in the previous building material allocation behavior, and corresponding to a building material allocation association relationship table according to each obtained difference;
according to the building material distribution incidence relation table, building material logic blocks are matched according to the logic incidence relation, and the building material distribution space is established when the difference between each building material logic block of the two logic incidence sections is smaller than the maximum logic difference of the building material distribution behaviors in the logic difference; in the building of each building material distribution space, distributing a distribution interval of each building material distribution behavior space, and mirroring the building material distribution behavior spaces according to building material distribution behavior expression data to obtain a plurality of mirrored building material distribution intervals; matching according to the distribution interval of the building material distribution behavior space and the building material distribution intervals of the plurality of mirror images to obtain a matching interval of building material distribution; obtaining target data distribution of the building material distribution to be distributed from the matching interval, and then extracting distribution control flow parameters of each building material distribution;
s10, if the distribution request of the building material data identification sent by the rapid distribution unit is received again, checking the distributed building material according to the distribution request, wherein the checking process detects the change of the building material distribution identification through the rapid distribution unit, and is relative to the distribution process of the rapid distribution unit; building material increase or building material decrease influences control parameters of the building materials to be distributed, when the building materials are increased, the rapid distribution unit detects the types of the increased building materials and decreases the distribution of the increased building materials, when the building materials are decreased, the rapid distribution unit detects the types of the decreased building materials and increases the distribution of the decreased building materials, and stores building material distribution marks, and then the number of the increase and decrease of the corresponding building materials is obtained; when the data source of the building material distribution reduction obtains the building material distribution identification detected by the rapid distribution unit, and the data source of the building material distribution identification corresponding to the rapid distribution unit is reduced, obtaining the data address of the reduced building material distribution data source; if the data source of the building material distribution sends a request for acquiring the data source; the received data source feeds back and obtains a data address of the building material data source according to the building material screening condition; marking a unique identifier according to the identifier serial number of the rapid distribution unit, forming a building material distribution data set by using the identifiers with the same building material distribution data, recording the time, the place and the specific material list of building material distribution, thereby recommending data for the next building material distribution, and distributing target data to be distributed to each building material target data distribution control flow parameter according to the building material distribution control parameter; executing building material distribution operation on the building material data to be distributed according to the determined building material distribution data and each building material distribution task;
s11, performing task assignment on each building material distribution task in the rapid distribution unit according to the control parameters for distribution, determining a building material distribution flow of each building material distribution task, and acquiring a building material distribution flow configuration file according to the building material distribution flow; determining distribution process configuration information of building material distribution tasks according to the building material distribution process configuration file, searching the distribution process configuration information of the building material distribution tasks based on the last building material distribution control configuration information, intercepting data fields at the same position from the distribution process configuration information of two adjacent building material distribution tasks for position comparison, and combining the data fields into a data vector according to the distribution process configuration information of two adjacent building material distribution tasks; extracting distribution parameters corresponding to the distribution flow configuration information of each building material distribution task and used for representing the building material distribution tasks from the data vectors; calling information during building material distribution is controlled according to the building material distribution process of the building material distribution task, each building material distribution process is combined according to the building material distribution adjustment logical relationship of each calling information, and the calling information in the distribution adjustment logical relationship is traversed sequentially after combination to perform a building material distribution data verification process;
s12, after calling information in the distribution adjustment logic relation is traversed in sequence, extracting distribution information of corresponding building material distribution flows in a verification process, grouping the distribution information of the building material distribution flows according to different building material types, calculating a flow distribution information identifier of each building material type, and selecting distribution data which accords with distribution conditions in building material distribution according to the flow distribution information identifiers; and generating an extraction instruction for extracting the building material distribution control parameters in the process distribution information identification according to the distribution data meeting the distribution conditions, and acquiring a building material distribution mirror image file corresponding to the process distribution information identification in the building material distribution process according to the extraction instruction.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (3)
1. A rapid use and distribution working method for building materials through big data analysis is characterized by comprising the following steps:
s1, determining the data distribution times of each building material in the control parameters of the building materials needing to be distributed, acquiring the times of the accumulated building material filling, and calculating the corresponding building material distribution coefficient by using the control parameters of the distribution materials needing to be distributed; the number of times of data distribution of each building material and the distribution coefficient of the building materials are used as the output of control parameters of distribution materials needing to be distributed; acquiring expected values of building material distribution according to control parameters required to be distributed for distributing materials, and acquiring predicted values of each building material in different building material attributes; forming a building material distribution range value according to the building material distribution expected value and each building material predicted value, and acquiring distribution control convergence information of each building material predicted value, wherein the building material distribution range value comprises the number of times of distribution of each building material data distributed by each building material data, the number of times of filling accumulated building materials and the number of times of filling accumulated building materials;
s2, calculating to obtain an initial value of each building material distribution convergence interval according to the building material distribution control type and the building material distribution range value of each building material estimated value; according to the building material distribution range value, the times of distributing each kind of building material data distributed by each kind of building material data, the times of filling accumulated building materials and the times of filling accumulated building materials are included; inquiring a building material distribution control information table to obtain a plurality of building material distribution convergence parameters;
s3, determining a plurality of convergence parameters of building material distribution and a bracelet parameter balance value of an initial building material distribution type to obtain a plurality of convergence parameter balance values; calculating distribution results of the multiple convergence parameter balance values and corresponding control parameters of distribution materials to be distributed, and processing the control parameters of the distribution materials to be distributed according to distribution process information in the building material distribution results to obtain multiple building material distribution control sets;
s4, sequentially extracting building material distribution correlation processes with a plurality of building material distribution convergence parameter sets, taking building material distribution correlation units in the concentrated building material distribution correlation processes as fast distribution units, and respectively and sequentially generating building material distribution sequences corresponding to each building material distribution process according to the concentrated building material distribution correlation processes;
s5, respectively matching the association strength of the rapid distribution units in the centralized building material distribution association process with each building material distribution sequence, and corresponding the association strength to the sequence length of the building material distribution sequence; setting corresponding building material distribution association nodes for each building material distribution sequence according to the association strength matched with each building material distribution sequence, forming association relations for the building material distribution sequences of the building material distribution association nodes according to a centralized building material distribution association process, and acquiring a building material rapid distribution model from a building material distribution model corresponding to the formed association relations according to the types of a plurality of building material distribution control sets corresponding to each building material distribution sequence completing the association relations; combining the building material distribution coefficients of each building material rapid distribution model to obtain corresponding rapid distribution coefficients,
s6, generating a mirror image coding space for recording the building material distribution mirror image file, mapping the building material distribution mirror image file to a mirror image preparation space, and setting the distribution state of the building material distribution mirror image file according to the type of the building material; judging whether the building material distribution is in a state of executing building material distribution control parameters according to the distribution state, and determining the building material distribution coefficient according to an analysis instruction when the distribution flow information in the building material distribution result is not in a threshold value limited by the building material distribution coefficient; analyzing a building material distribution coefficient in the judgment process, determining building material data distribution for distributing the building material data to be distributed according to the building material distribution coefficient and distributing process parameters for each building material, performing mirror image search on each data distribution node related to the building material data to be distributed according to the building material distribution control process parameters, and determining distribution type attributes corresponding to the building material data to be distributed; determining building material distribution queues according to distribution type attributes, extracting behavior distribution data of building material distribution business behaviors, extracting a business mirror area of the building material distribution business behaviors by using a set threshold value, and extracting a building material distribution set of each building material distribution data associated with a plurality of building material distribution queues.
2. The rapid usage allocation work method for construction materials through big data analysis according to claim 1, further comprising:
and generating a plurality of logic association sections for the building material logic blocks in the building material allocation behaviors according to the logic association relation according to at least two building material allocation behaviors associated in the set, calculating the building material allocation difference between all the building material logic blocks in the next building material allocation behavior and all the building material logic blocks in the previous building material allocation behavior, and corresponding to a building material allocation association relation table according to each obtained difference.
3. The rapid usage allocation work method for construction materials through big data analysis according to claim 1, further comprising:
according to the building material distribution incidence relation table, building material logic blocks are matched according to the logic incidence relation, and the building material distribution space is established when the difference between each building material logic block of the two logic incidence sections is smaller than the maximum logic difference of the building material distribution behaviors in the logic difference; in the building of each building material distribution space, distributing a distribution interval of each building material distribution behavior space, and mirroring the building material distribution behavior spaces according to building material distribution behavior expression data to obtain a plurality of mirrored building material distribution intervals; matching according to the distribution interval of the building material distribution behavior space and the building material distribution intervals of the plurality of mirror images to obtain a matching interval of building material distribution; and obtaining target data distribution of the building material distribution to be distributed from the matching interval, and then extracting distribution control flow parameters of each building material distribution.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011112626.3A CN112365125A (en) | 2020-10-16 | 2020-10-16 | Building material rapid use and distribution working method through big data analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011112626.3A CN112365125A (en) | 2020-10-16 | 2020-10-16 | Building material rapid use and distribution working method through big data analysis |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112365125A true CN112365125A (en) | 2021-02-12 |
Family
ID=74507706
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011112626.3A Withdrawn CN112365125A (en) | 2020-10-16 | 2020-10-16 | Building material rapid use and distribution working method through big data analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112365125A (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2005024684A1 (en) * | 2003-09-04 | 2005-03-17 | Duncan Hugh Barclay | System and method for creating, managing and executing a multi-element process for generating a complex entity |
US20120221585A1 (en) * | 2011-02-28 | 2012-08-30 | Eric Williamson | Systems and methods for generating interpolated data sets converging to optimized results using iterative overlapping inputs |
US20150294248A1 (en) * | 2014-04-15 | 2015-10-15 | Kevin Andrew DEIBLER | Position-centric personnel assessment apparatus and method |
US20160096318A1 (en) * | 2014-10-03 | 2016-04-07 | Disney Enterprises, Inc. | Three dimensional (3d) printer system and method for printing 3d objects with user-defined material parameters |
US20160217371A1 (en) * | 2015-01-22 | 2016-07-28 | Robert Leithiser | Method and System for Universal Problem Resolution with Continuous Improvement |
US20170316131A1 (en) * | 2015-11-23 | 2017-11-02 | Northeastern University | Method of batching and scheduling for steelmaking production with plant-wide process consideration |
CN109816319A (en) * | 2019-03-20 | 2019-05-28 | 苏州真趣信息科技有限公司 | Emergency materials management method, system and device |
CN110222918A (en) * | 2019-04-18 | 2019-09-10 | 重庆恢恢信息技术有限公司 | Wisdom building site management system, server and storage medium based on cloud platform |
CN110717685A (en) * | 2019-10-15 | 2020-01-21 | 广东博智林机器人有限公司 | Building material management system and method |
CN111209336A (en) * | 2019-12-30 | 2020-05-29 | 广州博士信息技术研究院有限公司 | Data distribution method and device based on block chain and server |
-
2020
- 2020-10-16 CN CN202011112626.3A patent/CN112365125A/en not_active Withdrawn
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2005024684A1 (en) * | 2003-09-04 | 2005-03-17 | Duncan Hugh Barclay | System and method for creating, managing and executing a multi-element process for generating a complex entity |
US20120221585A1 (en) * | 2011-02-28 | 2012-08-30 | Eric Williamson | Systems and methods for generating interpolated data sets converging to optimized results using iterative overlapping inputs |
US20150294248A1 (en) * | 2014-04-15 | 2015-10-15 | Kevin Andrew DEIBLER | Position-centric personnel assessment apparatus and method |
US20160096318A1 (en) * | 2014-10-03 | 2016-04-07 | Disney Enterprises, Inc. | Three dimensional (3d) printer system and method for printing 3d objects with user-defined material parameters |
US20160217371A1 (en) * | 2015-01-22 | 2016-07-28 | Robert Leithiser | Method and System for Universal Problem Resolution with Continuous Improvement |
US20170316131A1 (en) * | 2015-11-23 | 2017-11-02 | Northeastern University | Method of batching and scheduling for steelmaking production with plant-wide process consideration |
CN109816319A (en) * | 2019-03-20 | 2019-05-28 | 苏州真趣信息科技有限公司 | Emergency materials management method, system and device |
CN110222918A (en) * | 2019-04-18 | 2019-09-10 | 重庆恢恢信息技术有限公司 | Wisdom building site management system, server and storage medium based on cloud platform |
CN110717685A (en) * | 2019-10-15 | 2020-01-21 | 广东博智林机器人有限公司 | Building material management system and method |
CN111209336A (en) * | 2019-12-30 | 2020-05-29 | 广州博士信息技术研究院有限公司 | Data distribution method and device based on block chain and server |
Non-Patent Citations (3)
Title |
---|
GORTON I: "Distribution, Data, Deployment: Software Architecture Convergence in Big Data Systems", IEEE SOFTWARE * |
殷宪亮: "面向遥感大数据应用的云计算任务调度研究", 中国优秀硕士学位论文全文数据库信息科技辑 * |
陈广胜: "基于改进遗传算法的物料配送多目标优化模型研究", 现代制造工程 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106528280A (en) | Task allocation method and system | |
CN107103009A (en) | A kind of data processing method and device | |
CN106874112B (en) | Workflow backfilling method combined with load balancing | |
CN112101674B (en) | Resource allocation matching method, device, equipment and medium based on group intelligent algorithm | |
CN109377187A (en) | A kind of outsourcing human resource distribution method and device | |
CN111382031B (en) | Test method and device | |
CN109934368B (en) | Method, device and system for predicting order quantity and order state | |
CN112907026A (en) | Comprehensive evaluation method based on editable mesh index system | |
CN109409780B (en) | Change processing method, device, computer equipment and storage medium | |
CN110084476B (en) | Case adjustment method, device, computer equipment and storage medium | |
CN110147596B (en) | Aviation product production capacity assessment method | |
CN111711702B (en) | Distributed cooperative interaction method and system based on communication topology | |
US7647592B2 (en) | Methods and systems for assigning objects to processing units | |
CN112365125A (en) | Building material rapid use and distribution working method through big data analysis | |
CN112365124A (en) | Intelligent construction site construction material rapid distribution working method | |
WO2020062047A1 (en) | Scheduling rule updating method, device, system, storage medium and terminal | |
KR20200093201A (en) | A evaluation method of job seeker's ability in the recruit system | |
CN110084507A (en) | The scientific workflow method for optimizing scheduling of perception is classified under cloud computing environment | |
CN109857817A (en) | The whole network domain electronic mutual inductor frequent continuous data is screened and data processing method | |
CN115759565A (en) | Work order distribution method, device, equipment and computer storage medium | |
US8201023B2 (en) | Test optimization | |
CN114676868A (en) | Logistics cargo quantity prediction method and device, computer equipment and storage medium | |
CN111553583A (en) | Cooperative operator matching method and device for audit task | |
Li et al. | A sort-based interest matching algorithm with two exclusive judging conditions for region overlap | |
CN112148802A (en) | Graph partitioning method, device, equipment and computer readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210212 |
|
WW01 | Invention patent application withdrawn after publication |