CN114219168A - Logistics park automatic site selection system and method based on multiple models and big data - Google Patents
Logistics park automatic site selection system and method based on multiple models and big data Download PDFInfo
- Publication number
- CN114219168A CN114219168A CN202111583050.3A CN202111583050A CN114219168A CN 114219168 A CN114219168 A CN 114219168A CN 202111583050 A CN202111583050 A CN 202111583050A CN 114219168 A CN114219168 A CN 114219168A
- Authority
- CN
- China
- Prior art keywords
- site selection
- data
- logistics
- report
- module
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000002452 interceptive effect Effects 0.000 claims abstract description 54
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000004364 calculation method Methods 0.000 claims description 31
- 238000013479 data entry Methods 0.000 claims description 18
- 230000003993 interaction Effects 0.000 claims description 18
- 238000011156 evaluation Methods 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 13
- 230000010354 integration Effects 0.000 claims description 11
- 238000002360 preparation method Methods 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 claims description 9
- 230000005484 gravity Effects 0.000 claims description 8
- 238000000513 principal component analysis Methods 0.000 claims description 8
- 230000001172 regenerating effect Effects 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 5
- 238000003860 storage Methods 0.000 claims description 5
- 238000010187 selection method Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 238000013500 data storage Methods 0.000 description 4
- 230000004927 fusion Effects 0.000 description 4
- 238000004806 packaging method and process Methods 0.000 description 4
- 238000011002 quantification Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000009193 crawling Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000126 substance Substances 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
-
- 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
-
- 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
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/083—Shipping
-
- 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
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- General Engineering & Computer Science (AREA)
- Educational Administration (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Biodiversity & Conservation Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a logistics park automatic site selection system and method based on multiple models and big data, which are used for acquiring target data related to the site selection of a logistics park in a network data carrier; carrying out structuralization processing on the target data, and carrying out de-duplication, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data; the method comprises the steps of obtaining addressing information selected or input through an interactive terminal, calculating and generating an optimal logistics garden addressing scheme according to an addressing model, corresponding addressing information and target addressing data, generating a corresponding logistics garden addressing report based on the optimal logistics garden addressing scheme, and transmitting the logistics garden addressing report to the interactive terminal for displaying. According to the invention, the site selection data and requirements are input at the front end, the site selection report is calculated by using the site selection model, and the site selection report is generated and displayed at the rear end.
Description
Technical Field
The invention relates to the technical field of logistics park site selection, in particular to a logistics park automatic site selection system and method based on multiple models and big data.
Background
The logistics park is used as a key node between enterprises, has the characteristics of large investment, long operation period and the like, and the success or failure of site selection obviously influences the actual operation benefit and cost of the enterprises and the expansion and development of the park scale in the future. Therefore, the problem of site selection in the logistics park has attracted great attention from enterprises, government structures and scientific research personnel. However, at present, the problem of site selection decision of a logistics park is mostly in a qualitative semi-manual decision state, or a small amount of data is manually measured and calculated based on a certain fixed method, so that the problems of large error of site selection results with strong subjectivity, high labor input cost, incomplete information understanding of alternative plots, single site selection model, untimely updating of calculation data and the like often occur, so that the site selection decision scheme cannot be timely, quickly and accurately provided for enterprises and governments, and the new intelligent development trend of combining site selection of the logistics park with the model and the big data cannot be adapted.
Disclosure of Invention
In view of the above drawbacks of the prior art, the present invention provides a system and a method for automatically selecting a site of a logistics park based on multiple models and big data, so as to solve the problems in the prior art in selecting a site of a logistics park.
In order to achieve the above objects and other related objects, the present invention provides an automatic addressing system for a logistics park based on multiple models and big data, the system comprising:
the user interaction system is used for acquiring address selection information selected or input through an interaction terminal, and the address selection information comprises: the method comprises the following steps of (1) selecting an address type, an address model parameter index, an address report template and alternative parcel information;
the system comprises a network data acquisition system, a data processing system and a data processing system, wherein the network data acquisition system is used for acquiring target data associated with a logistics park site selection in a network data carrier, performing structured processing on the target data, and performing duplication removal, combination, analysis and association on the structured data after the structured processing is completed to obtain corresponding target site selection data; the target data includes: trade data, industrial data and logistics data;
the logistics garden site selection computing system is used for computing and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
Optionally, the user interaction system includes:
the data entry module is used for receiving address selection information and address selection requirements input by a user through the interactive terminal; the site selection requirement comprises: the method comprises the following steps of (1) addressing type requirements, addressing model parameter selection requirements and addressing report template self-definition requirements;
the information transmission module is connected with the data entry module and is used for transmitting the address selection information input by the user in the data entry module to a database for storage;
the basic data preparation module is connected with the data entry module and the information transmission module and used for calling address selection information from the database according to the address selection requirement input by the user;
and the information display module is connected with the data entry module and the basic data preparation module and is used for displaying the calling site selection information and the site selection information input by the user through the interactive terminal.
Optionally, the network data acquisition system includes:
the data acquisition module is used for acquiring target data related to the site selection of the logistics garden in the network data carrier by using big data and a network crawler technology; the network data carrier comprises: databases, news, websites;
the data structured processing module is used for carrying out structured processing on the target data and cleaning unstructured data to obtain corresponding structured data;
the data de-duplication and combination module is used for integrating scattered and scattered structured data with non-uniform standard and performing de-duplication and combination according to the existing structured data in the database;
and the data analysis correlation module is used for analyzing the de-duplicated and combined structured data according to the addressing information and addressing requirements input by the user and correlating the analysis result to obtain target addressing data.
Optionally, the logistics park site selection computing system includes:
the system comprises a data acquisition module, a data integration module, a data matrix acquisition module, a data set acquisition module and a data base, wherein the data acquisition module is used for acquiring target data and address selection information selected or input by a user;
the macro logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by a network data acquisition system and site selection information selected or input by the user after the user triggers a macro logistics garden site selection instruction, and generating an optimal macro logistics garden site selection scheme by combining optimal target calculation input by the user;
the microcosmic logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by a network data acquisition system and site selection information selected or input by the user after the user triggers a microcosmic logistics garden site selection instruction, and generating an optimal microcosmic logistics garden site selection scheme by combining optimal target calculation input by the user;
and the site selection report generation module is connected with the macroscopic logistics garden site selection calculation module and the microscopic logistics garden site selection calculation module and is used for generating a logistics garden site selection report according to the optimal macroscopic logistics garden site selection scheme and the optimal microscopic logistics garden site selection scheme and transmitting the generated logistics garden site selection report to the interactive terminal for display.
Optionally, the addressing model comprises at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
Optionally, the system further comprises:
after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal;
analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying.
Optionally, the system further includes a display adjustment performed on the displayed logistic garden site selection report at the interactive terminal, where the display adjustment includes: font adjustment, format adjustment, paragraph adjustment, color matching adjustment and page layout adjustment.
The invention also provides a logistics park automatic site selection method based on multiple models and big data, which comprises the following steps:
acquiring target data associated with the logistics park site selection in a network data carrier; the target data includes: trade data, industrial data and logistics data;
carrying out structuralization processing on the target data, and carrying out duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data;
acquiring address selection information selected or input through an interactive terminal, wherein the address selection information comprises: the method comprises the following steps of (1) selecting an address type, an address model parameter index, an address report template and alternative parcel information;
calculating to generate an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
Optionally, the method further comprises: after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal;
analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying.
Optionally, the addressing model comprises at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
As described above, the present invention provides a logistics park automatic site selection system and method based on multiple models and big data, which has the following beneficial effects:
firstly, acquiring target data associated with a logistics park site selection in a network data carrier; then, carrying out structuralization processing on the target data, and carrying out duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data; then, acquiring site selection information selected or input through an interactive terminal, calculating and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized. Therefore, the method can automatically crawl, process and store network data based on a big data algorithm, automatically generate and match multi-dimensional characteristic data sets by using a multi-type quantitative and qualitative site selection model embedded in the network data, calculate comprehensive evaluation results of alternative plots or optimal solutions with cost, time and the like as targets, and automatically generate a site selection report of the logistics park by combining user-defined conditions. The invention integrates various types of logistics park site selection models into one system, and also collects, stores and calls the network data in real time based on big data and crawler technology, realizes the automatic fusion of the models and the data, automatically calculates the models and generates the site selection report, solves the problems of insufficient manual quantification and large site selection error in the site selection problem of the logistics park, and also reduces the complex work of manual repeated modeling and calculation. In addition, the method integrates front-end data input, demand input, middle-end modeling, scheme calculation, automatic generation and display of a rear-end site selection report, automatic acquisition of background data and the like, promotes data, modeling, operation packaging and integration, and continuously improves the convenience and accuracy of site selection of the logistics park.
Drawings
FIG. 1 is a schematic diagram of a logistics park automatic site selection system architecture based on multiple models and big data;
FIG. 2 is a flow chart of a logistics park automatic site selection system based on multiple models and big data;
fig. 3 is a flow diagram of a logistics park automatic site selection method based on multiple models and big data.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1 and fig. 2, the present embodiment provides an automatic addressing system for a logistics park based on multiple models and big data, the system includes:
the user interaction system is used for acquiring address selection information selected or input through an interaction terminal, and the address selection information comprises: the method comprises the following steps of (1) selecting an address type, an address model parameter index, an address report template and alternative parcel information;
the system comprises a network data acquisition system, a data processing system and a data processing system, wherein the network data acquisition system is used for acquiring target data associated with a logistics park site selection in a network data carrier, performing structured processing on the target data, and performing duplication removal, combination, analysis and association on the structured data after the structured processing is completed to obtain corresponding target site selection data; the target data includes: trade data, industrial data and logistics data;
the logistics garden site selection computing system is used for computing and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
In summary, in this embodiment, various types of logistics park site selection models are integrated in one system, and network data is collected, stored and called in real time based on big data and crawler technology, so that automatic fusion of the models and the data is realized, the models are automatically calculated and site selection reports are generated, the problems of insufficient manual quantification and large site selection errors in the problem of site selection of the logistics park are solved, and the tedious work of manual repeated modeling and calculation is also reduced. In addition, the embodiment integrates front-end data input, demand input, middle-end modeling, scheme calculation, automatic generation and display of a rear-end site selection report, automatic acquisition of background data and the like, promotes data, modeling, operation packaging and integration, and continuously improves the convenience and accuracy of site selection of the logistics park. Therefore, the embodiment can automatically crawl, process and store network data based on a big data algorithm, automatically generate and match a multi-dimensional characteristic data set by using a multi-type quantitative and qualitative site selection model embedded in the network data, calculate a comprehensive evaluation result of a candidate plot or an optimal solution with cost, time and the like as targets, and automatically generate a site selection report of the logistics park by combining user-defined conditions.
In an exemplary embodiment, the user interaction system includes: the data entry module is used for receiving address selection information and address selection requirements input by a user through the interactive terminal; the site selection requirement comprises: the method comprises the following steps of (1) addressing type requirements, addressing model parameter selection requirements and addressing report template self-definition requirements;
the information transmission module is connected with the data entry module and is used for transmitting the address selection information input by the user in the data entry module to a database for storage;
the basic data preparation module is connected with the data entry module and the information transmission module and used for calling address selection information from the database according to the address selection requirement input by the user;
and the information display module is connected with the data entry module and the basic data preparation module and is used for displaying the calling site selection information and the site selection information input by the user through the interactive terminal.
Specifically, the user interaction system comprises an information display module, a data entry module, a basic data preparation module and an information transmission module. The information display module is used for receiving information such as address type requirements, model requirements, data of relevant indexes, parameter selection requirements, template self-definition requirements, alternative plots and the like input by a user and converting the information into information which can be related to the system identification; the data input module is used for receiving information such as address type requirements, model requirements, data of related indexes, parameter selection requirements, template self-definition requirements, alternative plots and the like input by a user and converting the information into information which can be related to the system identification; the basic data preparation module calls existing related information in the database in real time according to the requirements of alternative land blocks, address selection types or address selection models and the like recorded by the user and displays the information through the display module; the information transmission module transmits the information input by the user to the database, and simultaneously transmits data or results of a network data acquisition system or an addressing system and the like to the interactive system, so that the information transmission among multiple systems and multiple modules is realized.
In an exemplary embodiment, the network data acquisition system includes: the data acquisition module is used for acquiring target data related to the site selection of the logistics garden in the network data carrier by using big data and a network crawler technology; the network data carrier comprises: databases, news, websites;
the data structured processing module is used for carrying out structured processing on the target data and cleaning unstructured data to obtain corresponding structured data;
the data de-duplication and combination module is used for integrating scattered and scattered structured data with non-uniform standard and performing de-duplication and combination according to the existing structured data in the database;
and the data analysis correlation module is used for analyzing the de-duplicated and combined structured data according to the addressing information and addressing requirements input by the user and correlating the analysis result to obtain target addressing data.
The network data acquisition system comprises a web crawler page data acquisition module, a data structured processing analysis and cleaning module and a data storage, duplication removal and combination module. The web crawler page data acquisition module is used for automatically analyzing and capturing network data such as databases, news, websites and the like periodically based on big data and web crawler technology, and acquiring data and information required by a logistics park site selection system. The data structured processing analysis and cleaning module cleans the automatically acquired data and information according to the data format and type displayed by each model and module requirement in the system, and unifies the data into structured local data. The data storage, deduplication and merging module is used for integrating fragmented and scattered data with non-uniform standards, and storing the data after deduplication by combining with the existing data in the database. And the defining, analyzing and associating module is used for decomposing the acquired data into different components according to the data requirements of each sub-module and the addressing model, and storing the different components in different database clusters for the user or the system to call in time.
In an exemplary embodiment, the logistics park siting computing system comprises: and the alternative block data integration module is used for integrating the target data acquired by the network data acquisition system and the address selection information selected or input by the user according to the address selection model selected by the user to form a data matrix, a data set and a database. And the macro logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by the network data acquisition system and site selection information selected or input by the user after the user triggers a macro logistics garden site selection instruction, and generating an optimal macro logistics garden site selection scheme by combining optimal target calculation input by the user. And the microcosmic logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by the network data acquisition system and site selection information selected or input by the user after the user triggers a microcosmic logistics garden site selection instruction, and generating an optimal microcosmic logistics garden site selection scheme by combining the optimal target calculation input by the user. And the site selection report generation module is connected with the macroscopic logistics garden site selection calculation module and the microscopic logistics garden site selection calculation module and is used for generating a logistics garden site selection report according to the optimal macroscopic logistics garden site selection scheme and the optimal microscopic logistics garden site selection scheme and transmitting the generated logistics garden site selection report to the interactive terminal for display. In this embodiment, the address model includes at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
Specifically, the logistics park site selection computing system comprises a candidate land block data integration module, a macroscopic logistics park site selection computing module, a microscopic logistics park site selection computing module and a site selection report generating module. The block data integration module for the alternative can automatically integrate data automatically acquired by a network data acquisition system and user input index data according to the requirement of user selection type on one hand, and can integrate embedded parameters of related models, user adjustment or input parameters on the other hand to jointly form a data matrix, a data set and a database, and can feed back related automatic recommendation parameters, data or maps of user trigger selection items to the interactive system to be displayed at the terminal. After a macro logistics garden site selection/micro logistics garden site selection instruction is triggered by a user, on one hand, an index system or corresponding automatic recommendation parameters related to a single site selection model or a model group such as a user selected principal component analysis, comprehensive evaluation, expert scoring, hierarchical analysis, a gravity center method, a GIS analysis method, a P-median method and the like are called, on the other hand, related data crawled by a network data acquisition system, index data input by the user and basic data of alternative plots are called, and an optimal solution or an evaluation result of the alternative logistics garden is calculated by combining with the goals of optimal cost/optimal time/optimal comprehensive optimization and the like input by the user. A plurality of types of site selection report templates are embedded in the site selection report generating module, a user can perform self-defining, storing and other operations on the templates in the aspects of fonts, formats, paragraphs, color matching, page layout and the like through corresponding interfaces of terminal equipment, and meanwhile, the module can call site selection results of the macro/micro logistics park site selection calculation model module, automatically match the finally selected or designed site selection report templates, generate a final logistics park site selection report, convey the final logistics park site selection report to a user interaction system and send the final logistics park site selection report to a corresponding client terminal.
In an exemplary embodiment, the system further comprises: after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal; analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying. When the interactive terminal displays the logistics park site selection report, the method further comprises the step of displaying and adjusting the displayed logistics park site selection report at the interactive terminal, wherein the displaying and adjusting comprises the following steps: font adjustment, format adjustment, paragraph adjustment, color matching adjustment and page layout adjustment.
In an exemplary embodiment, there is also provided a logistics park automatic site selection system based on multiple models and big data, including: the system comprises a user interaction system, a network data acquisition system and a logistics park site selection computing system. Wherein the content of the first and second substances,
the user interaction system finishes information acquisition and display between the user and the addressing system and information transmission between the multiple systems and the database. Specifically, the user interaction system comprises an information display module, a data entry module, a basic data preparation module and an information transmission module. The information display module is used for receiving information such as address type requirements, model requirements, data of relevant indexes, parameter selection requirements, template self-definition requirements, alternative plots and the like input by a user and converting the information into information which can be related to the system identification; the data input module is used for receiving information such as address type requirements, model requirements, data of related indexes, parameter selection requirements, template self-definition requirements, alternative plots and the like input by a user and converting the information into information which can be related to the system identification; the basic data preparation module calls existing related information in the database in real time according to the requirements of alternative land blocks, address selection types or address selection models and the like recorded by the user and displays the information through the display module; the information transmission module transmits the information input by the user to the database, and simultaneously transmits data or results of a network data acquisition system or an addressing system and the like to the interactive system, so that the information transmission among multiple systems and multiple modules is realized.
The network data acquisition system can realize the functions of automatic crawling, cleaning, duplicate removal, association, definition, storage and the like on network data such as webpages, databases, news and the like. The network data acquisition system comprises a web crawler page data acquisition module, a data structured processing analysis and cleaning module and a data storage, duplication removal and combination module. The web crawler page data acquisition module is used for automatically analyzing and capturing network data such as databases, news, websites and the like periodically based on big data and web crawler technology, and acquiring data and information required by a logistics park site selection system. The data structured processing analysis and cleaning module cleans the automatically acquired data and information according to the data format and type displayed by each model and module requirement in the system, and unifies the data into structured local data. The data storage, deduplication and merging module is used for integrating fragmented and scattered data with non-uniform standards, and storing the data after deduplication by combining with the existing data in the database. And the defining, analyzing and associating module is used for decomposing the acquired data into different components according to the data requirements of each sub-module and the addressing model, and storing the different components in different database clusters for the user or the system to call in time.
The logistics park site selection computing system carries out optimal solution computation of a multi-model site selection scheme based on the site selection type selected by the user, the input data and the data acquired by the network data acquisition system, and generates a final logistics park site selection report. Specifically, the logistics park site selection computing system comprises a candidate land block data integration module, a macroscopic logistics park site selection computing module, a microscopic logistics park site selection computing module and a site selection report generating module. The block data integration module for the alternative can automatically integrate data automatically acquired by a network data acquisition system and user input index data according to the requirement of user selection type on one hand, and can integrate embedded parameters of related models, user adjustment or input parameters on the other hand to jointly form a data matrix, a data set and a database, and can feed back related automatic recommendation parameters, data or maps of user trigger selection items to the interactive system to be displayed at the terminal. After a macro logistics garden site selection/micro logistics garden site selection instruction is triggered by a user, on one hand, an index system or corresponding automatic recommendation parameters related to a single site selection model or a model group such as a user selected principal component analysis, comprehensive evaluation, expert scoring, hierarchical analysis, a gravity center method, a GIS analysis method, a P-median method and the like are called, on the other hand, related data crawled by a network data acquisition system, index data input by the user and basic data of alternative plots are called, and an optimal solution or an evaluation result of the alternative logistics garden is calculated by combining with the goals of optimal cost/optimal time/optimal comprehensive optimization and the like input by the user. A plurality of types of site selection report templates are embedded in the site selection report generating module, a user can perform self-defining, storing and other operations on the templates in the aspects of fonts, formats, paragraphs, color matching, page layout and the like through corresponding interfaces of terminal equipment, and meanwhile, the module can call site selection results of the macro/micro logistics park site selection calculation model module, automatically match the finally selected or designed site selection report templates, generate a final logistics park site selection report, convey the final logistics park site selection report to a user interaction system and send the final logistics park site selection report to a corresponding client terminal.
In light of the above, in an exemplary embodiment, as shown in fig. 2, the embodiment provides a logistics park automatic site selection system based on multiple models and big data, which can perform the following working processes:
the authorized user inputs the requirement information in the terminal equipment of the system, and the user interaction system uploads the relevant data (including macro/micro site selection type requirements, site selection model site selection, model parameter adjustment, relevant index and data entry, CAD/geographical position/scale/traffic of the alternative plot, selection of an output report template/self-definition of a report and the like) input by the user to a database.
Then triggering by a logistics park site selection computing system, triggering a macroscopic or microscopic logistics park site selection submodule according to user selection, integrating the candidate site information input by the user with the candidate site information in a network data acquisition system (such as geographical position information, regional average population GDP, total industrial investment, logistics throughput, railway network density and the like), calling a corresponding logistics park site selection model and related parameters, wherein if the user is used for adjusting model parameters, the optimal configuration parameters are recommended by the system by default, and if the user is used for adjusting the relevant parameters of the model, the final adjustment value is taken as the standard,
and then the system solves the alternative plot by using a selection model, uploads the produced optimal solution or evaluation result to a database, combines the calculation result with an addressing report template embedded in the combination system or a user-defined addressing report template, automatically generates a logistics park addressing analysis report (containing information such as calculation result, addressing recommendation result and subsequent construction suggestion) and submits the analysis report to an addressing system user interaction system, and the analysis report is displayed to the user through an interaction terminal.
In the system, a built-in network data acquisition system is in charge of being linked with a logistics park site selection computing system, automatically crawls and acquires network data such as trade, industry, logistics, alternative land geographic information and the like on carriers such as webpages, databases, news and the like according to indexes required by model computing in the site selection computing system, and can perform functions of data structural processing, cleaning, duplicate removal, combination, self-definition, analysis, association, storage and the like on the automatically acquired data and information.
In summary, the present invention provides an automatic site selection system for a logistics park based on multiple models and big data, first obtaining target data associated with site selection of the logistics park in a network data carrier; then, carrying out structuralization processing on the target data, and carrying out duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data; then, acquiring site selection information selected or input through an interactive terminal, calculating and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized. Therefore, the system can automatically crawl, process and store network data based on a big data algorithm, automatically generate and match multi-dimensional characteristic data sets by using a multi-type quantitative and qualitative site selection model embedded in the network data, calculate comprehensive evaluation results of alternative plots or optimal solutions with cost, time and the like as targets, and automatically generate a site selection report of the logistics park by combining user-defined conditions. The system integrates various types of logistics park site selection models into one system, and also collects, stores and calls the network data in real time based on big data and crawler technology, so that the automatic fusion of the models and the data is realized, the models are automatically calculated and site selection reports are generated, the problems of insufficient manual quantification and large site selection errors in the problem of site selection of the logistics park are solved, and the complicated work of manual repeated modeling and calculation is reduced. In addition, the system integrates front-end data input, demand input, middle-end modeling, scheme calculation, automatic generation and display of a rear-end site selection report, automatic acquisition of background data and the like, promotes data, modeling, operation packaging and integration, and continuously improves the convenience and accuracy of site selection of the logistics park.
As shown in fig. 3, the present invention further provides a method for automatically selecting a site of a logistics park based on multiple models and big data, wherein the method comprises the following steps:
s100, acquiring target data associated with the logistics park site selection in a network data carrier; the target data includes: trade data, industrial data and logistics data;
s200, performing structuralization processing on the target data, and performing duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data;
s300, acquiring address selection information selected or input through an interactive terminal, wherein the address selection information comprises: the method comprises the steps of site selection type, site selection model parameter index, site selection report template and alternative block information. In this embodiment, the address model includes at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
S400, calculating and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for displaying; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
In an exemplary embodiment, the method further comprises: after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal; analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying. When the interactive terminal displays the logistics park site selection report, the method further comprises the step of displaying and adjusting the displayed logistics park site selection report at the interactive terminal, wherein the displaying and adjusting comprises the following steps: font adjustment, format adjustment, paragraph adjustment, color matching adjustment and page layout adjustment.
In summary, the invention provides a logistics park automatic site selection method based on multiple models and big data, firstly obtaining target data associated with the site selection of the logistics park in a network data carrier; then, carrying out structuralization processing on the target data, and carrying out duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data; then, acquiring site selection information selected or input through an interactive terminal, calculating and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized. Therefore, the method can automatically crawl, process and store network data based on a big data algorithm, automatically generate and match multi-dimensional characteristic data sets by using multi-type quantitative and qualitative site selection models embedded in the network data, calculate comprehensive evaluation results of alternative plots or optimal solutions with cost, time and the like as targets, and automatically generate a site selection report of the logistics park by combining user-defined conditions. According to the method, various types of logistics park site selection models are integrated, network data can be collected, stored and called in real time based on big data and crawler technology, automatic fusion of the models and the data is achieved, the models are automatically calculated, a site selection report is generated, the problems of insufficient manual quantification and large site selection errors in the problem of site selection of the logistics parks are solved, and tedious work of manual repeated modeling and calculation is reduced. In addition, the method integrates front-end data input, demand input, middle-end modeling, scheme calculation, automatic generation and display of a rear-end site selection report, automatic acquisition of background data and the like, promotes data, modeling, operation packaging and integration, and continuously improves the convenience and accuracy of site selection of the logistics park. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
The structures, proportions, and dimensions shown in the drawings and described in the specification are for illustrative purposes only and are not intended to limit the scope of the present invention, which is defined by the claims, but rather by the claims, and are not intended to limit the scope of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present invention.
Claims (10)
1. A logistics park automatic site selection system based on multiple models and big data is characterized in that the system comprises:
the user interaction system is used for acquiring address selection information selected or input through an interaction terminal, and the address selection information comprises: the method comprises the following steps of (1) selecting an address type, an address model parameter index, an address report template and alternative parcel information;
the system comprises a network data acquisition system, a data processing system and a data processing system, wherein the network data acquisition system is used for acquiring target data associated with a logistics park site selection in a network data carrier, performing structured processing on the target data, and performing duplication removal, combination, analysis and association on the structured data after the structured processing is completed to obtain corresponding target site selection data; the target data includes: trade data, industrial data and logistics data;
the logistics garden site selection computing system is used for computing and generating an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
2. The system for automatically selecting the site of the logistics park based on multiple models and big data as claimed in claim 1, wherein the user interaction system comprises:
the data entry module is used for receiving address selection information and address selection requirements input by a user through the interactive terminal; the site selection requirement comprises: the method comprises the following steps of (1) addressing type requirements, addressing model parameter selection requirements and addressing report template self-definition requirements;
the information transmission module is connected with the data entry module and is used for transmitting the address selection information input by the user in the data entry module to a database for storage;
the basic data preparation module is connected with the data entry module and the information transmission module and used for calling address selection information from the database according to the address selection requirement input by the user;
and the information display module is connected with the data entry module and the basic data preparation module and is used for displaying the calling site selection information and the site selection information input by the user through the interactive terminal.
3. The logistics park automatic site selection system based on multiple models and big data according to claim 2, characterized in that the network data acquisition system comprises:
the data acquisition module is used for acquiring target data related to the site selection of the logistics garden in the network data carrier by using big data and a network crawler technology; the network data carrier comprises: databases, news, websites;
the data structured processing module is used for carrying out structured processing on the target data and cleaning unstructured data to obtain corresponding structured data;
the data de-duplication and combination module is used for integrating scattered and scattered structured data with non-uniform standard and performing de-duplication and combination according to the existing structured data in the database;
and the data analysis correlation module is used for analyzing the de-duplicated and combined structured data according to the addressing information and addressing requirements input by the user and correlating the analysis result to obtain target addressing data.
4. The logistics park automatic site selection system based on multiple models and big data according to claim 1 or 3, characterized in that the logistics park site selection computing system comprises:
the system comprises a data acquisition module, a data integration module, a data matrix acquisition module, a data set acquisition module and a data base, wherein the data acquisition module is used for acquiring target data and address selection information selected or input by a user;
the macro logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by a network data acquisition system and site selection information selected or input by the user after the user triggers a macro logistics garden site selection instruction, and generating an optimal macro logistics garden site selection scheme by combining optimal target calculation input by the user;
the microcosmic logistics garden site selection calculation module is used for calling a single site selection model or a site selection model combination selected by a user, calling target data acquired by a network data acquisition system and site selection information selected or input by the user after the user triggers a microcosmic logistics garden site selection instruction, and generating an optimal microcosmic logistics garden site selection scheme by combining optimal target calculation input by the user;
and the site selection report generation module is connected with the macroscopic logistics garden site selection calculation module and the microscopic logistics garden site selection calculation module and is used for generating a logistics garden site selection report according to the optimal macroscopic logistics garden site selection scheme and the optimal microscopic logistics garden site selection scheme and transmitting the generated logistics garden site selection report to the interactive terminal for display.
5. The logistics park automatic site selection system based on multiple models and big data according to claim 4, wherein the site selection model comprises at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
6. The system for automatically addressing logistics park based on multiple models and big data according to claim 1, characterized in that the system further comprises:
after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal;
analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying.
7. The system for automatically selecting the site of the logistics park based on multiple models and big data as claimed in claim 1 or 6, wherein the system further comprises a display adjustment for the displayed logistics park site selection report at the interactive terminal, the display adjustment comprises: font adjustment, format adjustment, paragraph adjustment, color matching adjustment and page layout adjustment.
8. A logistics park automatic site selection method based on multiple models and big data is characterized by comprising the following steps:
acquiring target data associated with the logistics park site selection in a network data carrier; the target data includes: trade data, industrial data and logistics data;
carrying out structuralization processing on the target data, and carrying out duplication removal, combination, analysis and association on the structuralization processed structured data to obtain corresponding target address data;
acquiring address selection information selected or input through an interactive terminal, wherein the address selection information comprises: the method comprises the following steps of (1) selecting an address type, an address model parameter index, an address report template and alternative parcel information;
calculating to generate an optimal logistics garden site selection scheme according to the site selection model, corresponding site selection information and target site selection data, generating a corresponding logistics garden site selection report based on the optimal logistics garden site selection scheme, and transmitting the logistics garden site selection report to the interactive terminal for display; the optimal logistics park site selection scheme comprises the following steps: cost-optimized and/or time-optimized.
9. The method for automatically locating the logistics park based on multiple models and big data according to claim 8, wherein the method further comprises:
after the logistics garden site selection report is transmitted to the interactive terminal to be displayed, obtaining a site selection report adjusting instruction input through the interactive terminal;
analyzing the site selection report adjusting instruction, regenerating a new optimal logistics garden site selection scheme according to an analysis result, generating a new logistics garden site selection report based on the new optimal logistics garden site selection scheme, and transmitting the new logistics garden site selection report to the interactive terminal for displaying.
10. The method for automatically addressing a logistics park based on multiple models and big data as claimed in claim 8, wherein said addressing model comprises at least one of: the system comprises a principal component analysis site selection model, a comprehensive evaluation site selection model, an expert grading site selection model, a hierarchical analysis site selection model, a gravity center method site selection model, a GIS analysis method site selection model and a P-median method site selection model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111583050.3A CN114219168A (en) | 2021-12-22 | 2021-12-22 | Logistics park automatic site selection system and method based on multiple models and big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111583050.3A CN114219168A (en) | 2021-12-22 | 2021-12-22 | Logistics park automatic site selection system and method based on multiple models and big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114219168A true CN114219168A (en) | 2022-03-22 |
Family
ID=80705065
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111583050.3A Pending CN114219168A (en) | 2021-12-22 | 2021-12-22 | Logistics park automatic site selection system and method based on multiple models and big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114219168A (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108109477A (en) * | 2017-12-18 | 2018-06-01 | 清华大学 | Path planning and the logistics legal tutoring system of intelligent addressing |
| CN109784676A (en) * | 2018-12-25 | 2019-05-21 | 杨鑫 | The study and application method, device and computer readable storage medium of data analysis |
| CN110298474A (en) * | 2019-04-28 | 2019-10-01 | 武汉理工大学 | A kind of logistics centers location method of the ship stores spare part based on AIS and GIS |
| CN110648078A (en) * | 2019-09-30 | 2020-01-03 | 北京天润新能投资有限公司 | Wind power project development information system based on development map |
| KR102091644B1 (en) * | 2019-07-17 | 2020-05-29 | 부동산거래소 주식회사 | Method for providing online to offline based real estate open platform using artificial intelligence and bigdata |
| CN111898860A (en) * | 2020-06-28 | 2020-11-06 | 福建凯米网络科技有限公司 | Site selection and operation strategy generation method for digital audio-visual place and storage medium |
| CN112446549A (en) * | 2020-12-04 | 2021-03-05 | 西南石油大学 | Urban garbage intelligent supervision platform based on big data |
| CN112884180A (en) * | 2019-11-29 | 2021-06-01 | 顺丰科技有限公司 | Logistics distribution point addressing method and device, electronic equipment and storage medium |
| CN112990770A (en) * | 2021-04-21 | 2021-06-18 | 辽宁科技大学 | Method for selecting site of waste incineration plant based on group optimization algorithm |
| CN113076336A (en) * | 2021-04-27 | 2021-07-06 | 刘文平 | GIS macro-micro decision support system for site selection of water plant in remote area |
| CN113344247A (en) * | 2021-05-12 | 2021-09-03 | 广东华联云谷科技研究院有限公司 | Deep learning-based power facility site selection prediction method and system |
| CN113379227A (en) * | 2021-06-08 | 2021-09-10 | 软通智慧信息技术有限公司 | Industrial park data processing method and device, computer equipment and storage medium |
| CN113689226A (en) * | 2021-07-08 | 2021-11-23 | 深圳市维度数据科技股份有限公司 | Method and device for selecting address of commercial complex, electronic equipment and storage medium |
-
2021
- 2021-12-22 CN CN202111583050.3A patent/CN114219168A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108109477A (en) * | 2017-12-18 | 2018-06-01 | 清华大学 | Path planning and the logistics legal tutoring system of intelligent addressing |
| CN109784676A (en) * | 2018-12-25 | 2019-05-21 | 杨鑫 | The study and application method, device and computer readable storage medium of data analysis |
| CN110298474A (en) * | 2019-04-28 | 2019-10-01 | 武汉理工大学 | A kind of logistics centers location method of the ship stores spare part based on AIS and GIS |
| KR102091644B1 (en) * | 2019-07-17 | 2020-05-29 | 부동산거래소 주식회사 | Method for providing online to offline based real estate open platform using artificial intelligence and bigdata |
| CN110648078A (en) * | 2019-09-30 | 2020-01-03 | 北京天润新能投资有限公司 | Wind power project development information system based on development map |
| CN112884180A (en) * | 2019-11-29 | 2021-06-01 | 顺丰科技有限公司 | Logistics distribution point addressing method and device, electronic equipment and storage medium |
| CN111898860A (en) * | 2020-06-28 | 2020-11-06 | 福建凯米网络科技有限公司 | Site selection and operation strategy generation method for digital audio-visual place and storage medium |
| CN112446549A (en) * | 2020-12-04 | 2021-03-05 | 西南石油大学 | Urban garbage intelligent supervision platform based on big data |
| CN112990770A (en) * | 2021-04-21 | 2021-06-18 | 辽宁科技大学 | Method for selecting site of waste incineration plant based on group optimization algorithm |
| CN113076336A (en) * | 2021-04-27 | 2021-07-06 | 刘文平 | GIS macro-micro decision support system for site selection of water plant in remote area |
| CN113344247A (en) * | 2021-05-12 | 2021-09-03 | 广东华联云谷科技研究院有限公司 | Deep learning-based power facility site selection prediction method and system |
| CN113379227A (en) * | 2021-06-08 | 2021-09-10 | 软通智慧信息技术有限公司 | Industrial park data processing method and device, computer equipment and storage medium |
| CN113689226A (en) * | 2021-07-08 | 2021-11-23 | 深圳市维度数据科技股份有限公司 | Method and device for selecting address of commercial complex, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 卢德华: ""多规合一"背景下智慧选址技术实现及其应用研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 1, 15 January 2019 (2019-01-15), pages 1 - 52 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112270027B (en) | Paperless intelligent interactive examination method for city design based on entity model | |
| CN111680025B (en) | Method and system for intelligently assimilating space-time information of multi-source heterogeneous data oriented to natural resources | |
| CN116186566B (en) | Diffusion prediction method and system based on deep learning | |
| CN101350012B (en) | Method and system for matching address | |
| CN107526786A (en) | The method and system that place name address date based on multi-source data is integrated | |
| CN112070454B (en) | Design method of expressway maintenance construction area control safety management system | |
| CN111612294A (en) | City physical examination system based on space-time big data | |
| CN112308292A (en) | Method for drawing fire risk grade distribution map | |
| CN106503178B (en) | Automatic method and device for evaluating land ecological quality | |
| CN114092025B (en) | Temporary land use full life cycle monitoring method | |
| CN114648155A (en) | Source analysis method and emergency response system based on weather typing and weather forecast | |
| CN116384754A (en) | Deep learning-based environmental pollution risk assessment method in chemical industry park | |
| CN115293570A (en) | GIS-based territorial space planning system and method | |
| CN111651432A (en) | Suspected contaminated site space-time information identification method | |
| CN113722564A (en) | Visualization method and device for energy and material supply chain based on space map convolution | |
| CN116822159B (en) | Digital twin workshop rapid modeling method for dynamic and static fusion of man-machine environment | |
| CN114219168A (en) | Logistics park automatic site selection system and method based on multiple models and big data | |
| CN115860436B (en) | Urban hot line dispatching method and system based on knowledge graph | |
| CN109977190B (en) | Large-scale vector map data-oriented area query processing method and device | |
| CN112506930B (en) | Data insight system based on machine learning technology | |
| Jia et al. | Intelligent traffic decision analysis system based on big data mining | |
| CN116466919B (en) | Online natural resource supervision system | |
| CN117217412B (en) | Waste free urban construction management system based on resource utilization | |
| CN116258295A (en) | City sign diagnosis method for city update | |
| CN114417457A (en) | CIM technology-based planning project online multi-dimensional collaborative site selection system |
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 |