CN107992998A - A kind of gas station is directed to the algorithm of goods stock intelligent marketing - Google Patents

A kind of gas station is directed to the algorithm of goods stock intelligent marketing Download PDF

Info

Publication number
CN107992998A
CN107992998A CN201711191690.3A CN201711191690A CN107992998A CN 107992998 A CN107992998 A CN 107992998A CN 201711191690 A CN201711191690 A CN 201711191690A CN 107992998 A CN107992998 A CN 107992998A
Authority
CN
China
Prior art keywords
gas station
data
geohash
stop
track
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Withdrawn
Application number
CN201711191690.3A
Other languages
Chinese (zh)
Inventor
陈绍星
娄伟锋
周贤伟
李国�
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ji Qi (chengdu) Science And Technology Co Ltd
Original Assignee
Ji Qi (chengdu) Science And Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Ji Qi (chengdu) Science And Technology Co Ltd filed Critical Ji Qi (chengdu) Science And Technology Co Ltd
Priority to CN201711191690.3A priority Critical patent/CN107992998A/en
Publication of CN107992998A publication Critical patent/CN107992998A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses the algorithm that a kind of gas station is directed to goods stock intelligent marketing, comprise the following steps:A, the fuel station information data that data platform announces the country first are crawled, manual area is collected, and are constantly accumulated to platform as gas station's basic data;B, vehicles hundreds thousand of daily G7 can produce corresponding track data, stop point data.By capture program storage to big data platform, geohash values then are calculated to track data, stop point data;C, define whether vehicle has stop in the range of the gas station or have by then being matched by the geohash of the geohash of track of vehicle, dwell point come the geohash values with oiling website by setting a distance value;The present invention can for the position intelligence where goods stock recommended distance it is nearest and gas station that price is optimal refuels;The more efficient operation in gas station can be helped at the same time, the flow of gas station is improved, makes gas station's profit maximization.

Description

A kind of gas station is directed to the algorithm of goods stock intelligent marketing
Technical field
The present invention relates to gas station grass roots marketing techniques field, is specially the calculation that a kind of gas station is directed to goods stock intelligent marketing Method.
Background technology
Logistics transportation technology mainly includes two major class of transportation facility and hauling operation, the former belongs to transport hard technology, the latter Belong to transport soft technique.Transport hard technology mainly includes the bases such as transport infrastructure, such as highway, railway, sea-freight, transport vehicle and sets That applies is perfect, and transport soft technique then includes management method, logistlcs technology, logistics personnel's attainment etc..
Important function of the modern logistics in regional economic development, is also increasingly recognized by people, and many provinces and cities are hair Exhibition modern logistics have been included in important agenda.Stream modernization is closely related with economic development level, it is contemplated that in phase from now on When economy Chinese in long period will keep stablizing rapid growth, and the trend that world economy integrates with also by reinforcement, this is thing The overall situation of career development is flowed, but logistic industry is not also very ripe, still suffers from " small and weak, loose, speed is slow " and in macroscopic view The problem of uncoordinated in management, Business Scope of Enterprise is little, and marketability is not strong, and high-quality professional is serious Lack, all become an important factor for restricting China Logistics industry development.
Gas station, is commonly referred to as the refilling station of for automobile and other motor vehicles services, retail gasoline and machine oil, and one As for addition fuel oil, lubricating oil etc..In China, gas station experienced one from less to more, by decentralized management to scale management, Managed from one-sided economy component to diverse sectors of the economy, from empirical to specialized management, from single variety operation to diversified economy The evolution of conversion;According to《China Service Station industry market is looked forward to the prospect looks forward to the prospect with the report of investment strategy planning application》Analysis, with The fast development of China's national economy, the continuous of traffic infrastructure improves and the quick increase of vehicle guaranteeding organic quantity, oiling Stand becomes a part indispensable in people's life.
Logistic industry does not carry out the algorithm of intelligent recommendation gas station also specifically for goods stock at present, be all driver from Row random selection gas station refuels.He can not select optimal most economical gas station to add for driver for this Oil;This can not also carry out corresponding marketing activity for gas station.
The content of the invention
It is an object of the invention to provide the algorithm that a kind of gas station is directed to goods stock intelligent marketing, to solve the above-mentioned back of the body The problem of being proposed in scape technology.
To achieve the above object, the present invention provides following technical solution:A kind of gas station is directed to goods stock intelligent marketing Algorithm, comprise the following steps:
A, the fuel station information data that data platform announces the country first are crawled, manual area is collected, constantly Platform is accumulated to as gas station's basic data, and geohash values are calculated to gas station's basic data, is pushed away for follow-up intelligence Recommend and basic data guarantee is provided;
B, vehicles hundreds thousand of daily G7 can produce corresponding track data, stop point data.Be put in storage by capture program To big data platform, geohash values then are calculated to track data, stop point data;
C, define whether vehicle has stop in the range of the gas station or have by so by setting a distance value Matched, can be matched come the geohash values with oiling website by the geohash of the geohash of track of vehicle, dwell point afterwards Take track gps or dwell point gps to calculate distance difference with the gps of oiling website after upper, if difference meet setting away from From value, then show that the vehicle has and had stop by the gas station or near the gas station;
D, optimal gas station can be finally calculated to push driver;Calculate each gas station through inflow-rate of water turbine and Stop flow.
Preferably, the G7 in the step B is that a of Correspondent world company independent research is accurately positioned vehicle location Equipment.
Compared with prior art, the beneficial effects of the invention are as follows:The present invention can be for the position intelligence where goods stock The gas station that the recommended distance of energy is nearest and price is optimal refuels;The more efficient operation in gas station can be helped at the same time, The flow of gas station is improved, makes gas station's profit maximization.
Brief description of the drawings
Fig. 1 is flow chart of the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work Embodiment, belongs to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of technical solution:The present invention provides following technical solution:A kind of gas station's pin To the algorithm of goods stock intelligent marketing, comprise the following steps:
A, the fuel station information data that data platform announces the country first are crawled, manual area is collected, constantly Platform is accumulated to as gas station's basic data, and geohash values are calculated to gas station's basic data, is pushed away for follow-up intelligence Recommend and basic data guarantee is provided;
B, vehicles hundreds thousand of daily G7 can produce corresponding track data, stop point data.Be put in storage by capture program To big data platform, geohash values then are calculated to track data, stop point data;
C, define whether vehicle has stop in the range of the gas station or have by so by setting a distance value Matched, can be matched come the geohash values with oiling website by the geohash of the geohash of track of vehicle, dwell point afterwards Take track gps or dwell point gps to calculate distance difference with the gps of oiling website after upper, if difference meet setting away from From value, then show that the vehicle has and had stop by the gas station or near the gas station;
D, optimal gas station can be finally calculated to push driver;Calculate each gas station through inflow-rate of water turbine and Stop flow.
Wherein, the G7 in step B is a equipment for being accurately positioned vehicle location of Correspondent world company independent research.
The present invention can for the position intelligence where goods stock recommended distance is nearest and oiling that price is optimal Refuel at station;The more efficient operation in gas station can be helped at the same time, improves the flow of gas station, makes gas station's profit maximum Change.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of changes, modification, replace And modification, the scope of the present invention is defined by the appended.

Claims (2)

1. a kind of gas station is directed to the algorithm of goods stock intelligent marketing, it is characterised in that:Comprise the following steps:
A, the fuel station information data that data platform announces the country first are crawled, manual area is collected, constantly accumulative To platform as gas station's basic data, and geohash values are calculated to gas station's basic data, carried for follow-up intelligent recommendation For basic data guarantee;
B, vehicles hundreds thousand of daily G7 can produce corresponding track data, stop point data.Be put in storage by capture program to big Data platform, then calculates geohash values to track data, stop point data;
C, define whether vehicle has stop in the range of the gas station or have by Ran Houtong by setting a distance value Cross the geohash of track of vehicle, the geohash of dwell point to be matched come the geohash values with oiling website, after matching Track gps or dwell point gps is taken to calculate distance difference with the gps of oiling website, if difference meets the distance value of setting, Then showing the vehicle has and had stop by the gas station or near the gas station;
D, optimal gas station can be finally calculated to push driver;Calculate each gas station through inflow-rate of water turbine and stop Flow.
2. a kind of gas station according to claim 1 is directed to the algorithm of goods stock intelligent marketing, it is characterised in that:It is described G7 in step B is a equipment for being accurately positioned vehicle location of Correspondent world company independent research.
CN201711191690.3A 2017-11-24 2017-11-24 A kind of gas station is directed to the algorithm of goods stock intelligent marketing Withdrawn CN107992998A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711191690.3A CN107992998A (en) 2017-11-24 2017-11-24 A kind of gas station is directed to the algorithm of goods stock intelligent marketing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711191690.3A CN107992998A (en) 2017-11-24 2017-11-24 A kind of gas station is directed to the algorithm of goods stock intelligent marketing

Publications (1)

Publication Number Publication Date
CN107992998A true CN107992998A (en) 2018-05-04

Family

ID=62031927

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711191690.3A Withdrawn CN107992998A (en) 2017-11-24 2017-11-24 A kind of gas station is directed to the algorithm of goods stock intelligent marketing

Country Status (1)

Country Link
CN (1) CN107992998A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109297492A (en) * 2018-09-06 2019-02-01 中国电子科技集团公司电子科学研究院 A kind of determination method and device of the parked point of motion track
CN111666358A (en) * 2019-03-05 2020-09-15 上海光启智城网络科技有限公司 Track collision method and system
WO2020181819A1 (en) * 2019-03-12 2020-09-17 平安科技(深圳)有限公司 Intelligent scheduling method and apparatus, computer device and storage medium
CN111831764A (en) * 2020-01-20 2020-10-27 北京嘀嘀无限科技发展有限公司 Method and device for determining stop station, electronic equipment and medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109297492A (en) * 2018-09-06 2019-02-01 中国电子科技集团公司电子科学研究院 A kind of determination method and device of the parked point of motion track
CN111666358A (en) * 2019-03-05 2020-09-15 上海光启智城网络科技有限公司 Track collision method and system
WO2020181819A1 (en) * 2019-03-12 2020-09-17 平安科技(深圳)有限公司 Intelligent scheduling method and apparatus, computer device and storage medium
CN111831764A (en) * 2020-01-20 2020-10-27 北京嘀嘀无限科技发展有限公司 Method and device for determining stop station, electronic equipment and medium

Similar Documents

Publication Publication Date Title
Xu et al. Eco-driving for transit: An effective strategy to conserve fuel and emissions
CN107992998A (en) A kind of gas station is directed to the algorithm of goods stock intelligent marketing
Onat et al. Conventional, hybrid, plug-in hybrid or electric vehicles? State-based comparative carbon and energy footprint analysis in the United States
Dalla Chiara et al. Sustainable road transport from the energy and modern society points of view: Perspectives for the automotive industry and production
Pamucar et al. Prioritization of sustainable mobility sharing systems using integrated fuzzy DIBR and fuzzy-rough EDAS model
CN104766473A (en) Traffic trip feature extraction method based on multi-mode public transport data matching
Ventura et al. Energy policy considerations in the design of an alternative-fuel refueling infrastructure to reduce GHG emissions on a transportation network
Greene et al. Energy futures for the US transport sector
CN105608528A (en) Taxi driver income-pressure assessment method and system based on big data analysis
CN104575072A (en) Intelligent auxiliary path selection device for taxi based on cloud platform
Gunes et al. Vehicle routing for food rescue programs: A comparison of different approaches
Muraleedharakurup et al. Building a better business case: the use of non-linear growth models for predicting the market for hybrid vehicles in the UK
Sholichah et al. Strategy business of battery swap for electric vehicle using business model canvas
Wamburu et al. Ride substitution using electric bike sharing: feasibility, cost, and carbon analysis
Kumarage Sri Lanka Transport Sector Policy Note
Ramji et al. Creating a Sustainable Mobility Ecosystem in India: Vision 2030
CN108062858A (en) A kind of combination historic task calculates the algorithm of E.T.A
CN106251025A (en) A kind of Power Material distribution route commending system and method
Christie et al. Saving our energy sources and meeting Kyoto emission reduction targets while minimizing costs with application of vehicle logistics optimization
Rousseau et al. SMART Mobility. Modeling Workflow Development, Implementation, and Results Capstone Report
Ksenofontov et al. Prospects for motorization and energy markets in the context of fully autonomous vehicles spread
Chandra et al. Quantifying rail transit investments with appropriate measures and metrics
Cheng et al. Optimization model and algorithm of logistics distribution path based on urban road network time-varying
Comello et al. Cost-efficient transition to clean energy transportation services
Chaniotakis et al. Emissions Savings Estimation of Shared E-Scooters: Analysis and Case Study

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20180504