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CN113127468A - Logistics economic index calculation method based on traffic big data - Google Patents

Logistics economic index calculation method based on traffic big data Download PDF

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CN113127468A
CN113127468A CN202110426861.6A CN202110426861A CN113127468A CN 113127468 A CN113127468 A CN 113127468A CN 202110426861 A CN202110426861 A CN 202110426861A CN 113127468 A CN113127468 A CN 113127468A
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algorithm model
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吴金山
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Zhongyan Zhike Data Technology Shanghai Co ltd
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Abstract

The invention relates to the technical field of vehicle networking in the transportation industry and discloses a logistics economic index calculation method based on traffic big data. The logistics economic index calculation method based on the traffic big data comprises the steps of installing vehicle-mounted terminal equipment on a vehicle, collecting driving data of the vehicle, analyzing operation data of the vehicle from the dimension of an enterprise or an area, calculating and analyzing mass data, reflecting the busyness degree of the vehicle of the enterprise or the area in a logistics economic index mode through a data calculation and analysis algorithm model, collecting data reported by the vehicle-mounted terminal equipment, analyzing the data calculation and analysis algorithm model to obtain the logistics economic index, and finally displaying the logistics economic index for a user in a visual mode through a web end and a mobile end.

Description

Logistics economic index calculation method based on traffic big data
Technical Field
The invention relates to the technical field of vehicle networking in the transportation industry, in particular to a logistics economic index calculation method based on traffic big data.
Background
The concept of the car networking is derived from the internet of things, namely the car internet of things, the car in driving is used as an information perception object, by means of a new generation of information communication technology, network connection between cars and cars is realized, people and roads and service platforms is improved, the integral intelligent driving level of the car is improved, the connotation of the car networking mainly means that the vehicular equipment on the car passes through the wireless communication technology, all dynamic car information in the information network platform is effectively utilized, different functional services are provided in the running process of the car, the concept of the car networking can be found, the car networking shows the following characteristics, the car networking can provide guarantee for the distance between the car and the car, the probability of collision accidents of the car is reduced, and the car networking can help car owners to navigate in real time.
The traditional logistics economic index calculation method based on the traffic big data is mainly applied in the aspects of positioning and driving tracks, the single positioning data and driving tracks cannot well reflect the overall efficiency and effectiveness conditions of enterprises or industries, and meanwhile, the data obtained from the logistics economic index is low in accuracy and reliability, so that the provided logistics economic index calculation method based on the traffic big data is provided to solve the problems.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a logistics economic index calculation method based on traffic big data, which has the advantages of effectively reflecting the overall efficiency and efficiency conditions of enterprises or industries and obtaining accurate data, and solves the problems that the overall efficiency and efficiency conditions of enterprises or industries cannot be effectively reflected and the obtained data is low in accuracy.
(II) technical scheme
In order to achieve the purposes of effectively reflecting the overall efficiency and the efficiency condition of an enterprise or an industry and obtaining accurate data, the invention provides the following technical scheme: a logistics economic index calculation method based on traffic big data comprises the following steps:
1) the data acquisition module acquires data reported by the vehicle-mounted terminal equipment;
2) the transmission module uploads the data acquired by the data acquisition module and uploads the data to the data gateway;
3) the data gateway collects data, and the data gateway clearly transmits the data to the data algorithm model;
4) a data cleaning and filtering module on the data calculation analysis algorithm model scans data and deletes incomplete information, repeated information and useless information;
5) the data cleaning and filtering module is used for refining and integrating the data after scanning;
7) the data cleaning and filtering module sends the extracted and integrated data to a data calculation and analysis algorithm model;
8) the data calculation analysis algorithm model provides visual access to the processed data for the user through the web end and the mobile end;
9) and the web side and the mobile side share data.
Preferably, the data acquisition module further comprises an original data storage module, a password module, a monitoring system and an inquiry module, and the data acquisition module is in signal connection with the vehicle-mounted terminal device and the transmission module.
Preferably, the query module is in signal connection with the storage module and the password module, and the storage module is in signal connection with the monitoring system.
Preferably, the data gateway further comprises a first database, and the first database is a MySQL database.
Preferably, the data calculation analysis algorithm model further comprises a calling module and a comparison module, and the data gateway is in signal connection with the data calculation analysis algorithm model and the transmission module.
Preferably, the data calculation analysis algorithm model further comprises a calling module, a comparison module, a display module and a feedback module, the data gateway is in signal connection with the data calculation analysis algorithm model and the transmission module, and the feedback module is in bidirectional signal connection with the display module, the web end and the mobile end.
(III) advantageous effects
Compared with the prior art, the invention provides a logistics economic index calculation method based on traffic big data, which has the following beneficial effects:
the logistics economic index calculation method based on the traffic big data comprises the steps of installing vehicle-mounted terminal equipment on a vehicle, collecting driving data of the vehicle, analyzing operation data of the vehicle from the dimension of an enterprise or an area, calculating and analyzing mass data, reflecting the busyness degree of the vehicle of the enterprise or the area in a logistics economic index mode through a data calculation and analysis algorithm model, collecting data reported by the vehicle-mounted terminal equipment, obtaining a logistics economic index through analysis of the data calculation and analysis algorithm model, finally presenting the logistics economic index to a user in a visual mode through a web end and a mobile end, reporting the data by the vehicle-mounted terminal equipment, collecting the data through a data gateway, clearly collecting the data calculation and analysis algorithm model, providing visual access to the user through the web end and the mobile end through the result of model analysis, cleaning and filtering invalid dirty data through a data cleaning and filtering module to enable the result to be more accurate, the data are analyzed by the data calculation and analysis algorithm model to obtain an accurate index of the reactant stream economy, and the stream economy index which is more accurate and reliable and reflects the busyness degree of the reactant stream economy is obtained by the data cleaning and filtering module and the data calculation and analysis algorithm model, so that the problems that the overall efficiency and the efficiency of enterprises or industries cannot be effectively reflected, and the obtained data are low in accuracy are solved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows: a logistics economic index calculation method based on traffic big data comprises the following steps:
1) the data acquisition module acquires data reported by the vehicle-mounted terminal equipment, and further comprises an original data storage module, a password module, a monitoring system and a query module, wherein the data acquisition module is in signal connection with the vehicle-mounted terminal equipment and the transmission module, the query module is in signal connection with the storage module and the password module, and the storage module is in signal connection with the monitoring system;
2) the transmission module uploads the data acquired by the data acquisition module and uploads the data to the data gateway, and the data gateway further comprises a first database which is a MySQL database;
3) the data gateway collects data, and the data gateway clearly transmits the data to the data algorithm model;
4) the data cleaning and filtering module on the data calculation and analysis algorithm model scans data and deletes incomplete information, repeated information and useless information, the data calculation and analysis algorithm model also comprises a calling module, a comparison module, a display module and a feedback module, the data gateway is in signal connection with the data calculation and analysis algorithm model and the transmission module, and the feedback module is in bidirectional signal connection with the display module, the web end and the mobile end;
5) the data cleaning and filtering module is used for refining and integrating the data after scanning, and also comprises a second database which adopts a MySQL database, and the MySQL database is in signal connection with the data calculation analysis algorithm model through a transmission module;
7) the data cleaning and filtering module sends the extracted and integrated data to a data calculation and analysis algorithm model;
8) the data calculation analysis algorithm model provides visual access to the processed data for the user through the web end and the mobile end;
9) and the web side and the mobile side share data.
Example two: a logistics economic index calculation method based on traffic big data comprises the following steps:
1) the data acquisition module acquires data reported by the vehicle-mounted terminal equipment, and further comprises an original data storage module, a password module, a monitoring system and a query module, wherein the data acquisition module is in signal connection with the vehicle-mounted terminal equipment and the transmission module, the query module is in signal connection with the storage module and the password module, and the storage module is in signal connection with the monitoring system;
2) the transmission module uploads the data acquired by the data acquisition module and uploads the data to the data gateway, and the data gateway further comprises a first database which is a MySQL database;
3) the data gateway collects data, and the data gateway clearly transmits the data to the data algorithm model;
4) the data calculation analysis algorithm model provides visual access to the processed data for the user through the web end and the mobile end;
5) and the web side and the mobile side share data.
Example three: a logistics economic index calculation method based on traffic big data comprises the following steps:
1) the data acquisition module acquires data reported by the vehicle-mounted terminal equipment, and further comprises an original data storage module, a password module, a monitoring system and a query module, wherein the data acquisition module is in signal connection with the vehicle-mounted terminal equipment and the transmission module, the query module is in signal connection with the storage module and the password module, and the storage module is in signal connection with the monitoring system;
2) the transmission module uploads the data acquired by the data acquisition module and uploads the data to the data gateway, and the data gateway further comprises a first database which is a MySQL database;
3) the data gateway collects data, and the data gateway clearly transmits the data to the data algorithm model;
4) the data cleaning and filtering module on the data calculation analysis algorithm model scans and processes data, the data calculation analysis algorithm model also comprises a calling module, a comparison module, a display module and a feedback module, and the data gateway is in signal connection with the data calculation analysis algorithm model and the transmission module;
5) the data cleaning and filtering module is used for refining and integrating the data after scanning, and also comprises a second database which adopts a MySQL database, and the MySQL database is in signal connection with the data calculation analysis algorithm model through a transmission module;
7) the data cleaning and filtering module sends the extracted and integrated data to a data calculation and analysis algorithm model;
8) the data calculation analysis algorithm model provides visual access to the processed data for the user through the web end and the mobile end;
9) and the web side and the mobile side share data.
The invention has the beneficial effects that: the logistics economic index calculation method based on the traffic big data comprises the steps of installing vehicle-mounted terminal equipment on a vehicle, collecting driving data of the vehicle, analyzing operation data of the vehicle from the dimension of an enterprise or an area, calculating and analyzing mass data, reflecting the busyness degree of the vehicle of the enterprise or the area in a logistics economic index mode through a data calculation and analysis algorithm model, collecting data reported by the vehicle-mounted terminal equipment, obtaining a logistics economic index through analysis of the data calculation and analysis algorithm model, finally presenting the logistics economic index to a user in a visual mode through a web end and a mobile end, reporting the data by the vehicle-mounted terminal equipment, collecting the data through a data gateway, clearly collecting the data calculation and analysis algorithm model, providing visual access to the user through the web end and the mobile end through the result of model analysis, cleaning and filtering invalid dirty data through a data cleaning and filtering module to enable the result to be more accurate, the data are analyzed by the data calculation and analysis algorithm model to obtain an accurate index of the reactant stream economy, and the stream economy index which is more accurate and reliable and reflects the busyness degree of the reactant stream economy is obtained by the data cleaning and filtering module and the data calculation and analysis algorithm model, so that the problems that the overall efficiency and the efficiency of enterprises or industries cannot be effectively reflected, and the obtained data are low in accuracy are solved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1.一种基于交通大数据的物流经济指数计算方法，其特征在于，包括以下步骤：1. a logistics economic index calculation method based on traffic big data, is characterized in that, comprises the following steps: 1)数据采集模块对车载终端设备上报的数据进行采集；1) The data collection module collects the data reported by the vehicle terminal equipment; 2)传输模块对数据采集模块采集的数据进行上传，并将数据上传至数据网关；2) The transmission module uploads the data collected by the data acquisition module, and uploads the data to the data gateway; 3)数据网关又对数据进行采集，数据网关进行数据清晰将数据输送给数据算法模型；3) The data gateway collects the data, and the data gateway clears the data and transmits the data to the data algorithm model; 4)数据计算分析算法模型上的数据清洗过滤模块对数据进行扫描处理，将残缺不全的信息、重复的信息和无用信息进行删除；4) The data cleaning and filtering module on the data calculation and analysis algorithm model scans and processes the data, and deletes incomplete information, duplicate information and useless information; 5)数据清洗过滤模块对扫描处理后的数据进行提炼和整合；5) The data cleaning and filtering module refines and integrates the scanned data; 7)数据清洗过滤模块将提炼和整合的数据发送给数据计算分析算法模型；7) The data cleaning and filtering module sends the refined and integrated data to the data calculation and analysis algorithm model; 8)数据计算分析算法模型将处理后的数据通过web端和移动端为用户提供可视化访问；8) The data calculation and analysis algorithm model provides users with visual access to the processed data through the web and mobile terminals; 9)web端和移动端进行数据共享。9) Data sharing between web and mobile. 2.一种基于交通大数据的物流经济指数计算方法，其特征在于，所述数据采集模块还包括原始数据存储模块、密码模块、监控系统和查询模块，所述数据采集模块与车载终端设备和传输模块信号连接。2. A logistics economic index calculation method based on traffic big data, is characterized in that, described data collection module also comprises original data storage module, password module, monitoring system and inquiry module, described data collection module and on-board terminal equipment and Transmission module signal connection. 3.根据权利要求2所述的一种基于交通大数据的物流经济指数计算方法，其特征在于，所述查询模块与存储模块和密码模块信号连接，所述存储模块和监控系统信号连接。3 . The method for calculating a logistics economic index based on traffic big data according to claim 2 , wherein the query module is signal-connected to a storage module and a cryptographic module, and the storage module is signal-connected to a monitoring system. 4 . 4.根据权利要求1所述的一种基于交通大数据的物流经济指数计算方法，其特征在于，所述数据网关还包括第一数据库，所述第一数据库采用MySQL数据库。4 . The method for calculating a logistics economic index based on traffic big data according to claim 1 , wherein the data gateway further comprises a first database, and the first database adopts a MySQL database. 5 . 5.根据权利要求1所述的一种基于交通大数据的物流经济指数计算方法，其特征在于，所述数据计算分析算法模型还包括调取模块、对比模块、显示模块和反馈模块，所述数据网关与数据计算分析算法模型和传输模块信号连接，所述反馈模块与显示模块、web端和移动端双向信号连接。5. a kind of logistics economic index calculation method based on traffic big data according to claim 1, is characterized in that, described data calculation and analysis algorithm model also comprises retrieval module, contrast module, display module and feedback module, described The data gateway is signally connected with the data calculation and analysis algorithm model and the transmission module, and the feedback module is connected with the display module, the web terminal and the mobile terminal in a two-way signal connection. 6.根据权利要求1所述的一种基于交通大数据的物流经济指数计算方法，其特征在于，所述数据清洗过滤模块还包括第二数据库，所述第二数据库采用MySQL数据库，所述MySQL数据库通过输送模块与数据计算分析算法模型信号连接。6. a kind of logistics economic index calculation method based on traffic big data according to claim 1, is characterized in that, described data cleaning and filtering module also comprises the second database, described second database adopts MySQL database, described MySQL The database is signal-connected with the data calculation and analysis algorithm model through the conveying module.
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Application publication date: 20210716