Method for processing bloc vehicle run data

Abstract

A group vehicle driving data processing method of the invention relates to a data processing method of mobile communication. The method comprises: vehicle files are set up in a database of a service center; allowed driving time of each vehicle on one day is established and stored in the database; when driving, vehicular terminal of the vehicle collects the driving data and transmits the data to the service center by wireless communication at regular time; the service center receives the data and respectively and correspondingly stores the data in present driving record of the vehicle files in the database; when date is changed, in the overtime driving record of the vehicle files numerical value of overtime driving count unit is stored and the count unit is reset; timing interval is accumulated of the overtime driving count unit of the overtime driving vehicle; driving position of each vehicle is displayed on an electronic map; the service center issues scheduling instructions by wireless communication; the overtime driving record is displayed or printed. The invention solves the problem that long-term statistics of the time of overtime driving of vehicles occupies large storage space and takes long time.

Description

technical field [0001] The invention relates to a processing method of mobile communication data, in particular to a processing method of driving data of many vehicles. Background technique [0002] With the development of social economy, more and more vehicles are used by agencies, enterprises and institutions (also known as social groups or groups for short) with various types of vehicles, and the scheduling and management of vehicles has become an important task in the daily affairs of these groups . For this reason, some groups have installed vehicle-mounted terminals with vehicle driving data collection capabilities and wireless communication capabilities for each of their vehicles, and established service centers with wireless communication, data storage and processing capabilities, and electronic maps. The database of the service center stores relevant original data such as the type, department, serial number, license plate number, driver's name, and communication co...

AI Technical Summary

Problems solved by technology

But it also has the following disadvantages: Due to the needs of management, only some vehicles are allowed to travel within a specific time range; Make statistics on vehicles traveling in the time range

And if this kind of statistics is realized in the above-mentioned vehicle dispatching system, it is first necessary to keep all the current driving records of each vehicle file in the database, and then pick out the current driving records of all vehicles traveling in all non-predetermined allowable time ranges for statistics, considering that usually The time period of this kind of statistical work should be meaningful in a quarter or half a year or a year, which requires all current driving records of each vehicle file to be kept in the database for a long time, which takes up a large amount of storage space; Turn off the power and stop the current driving data. The process of driving the vehicle in the non-predetermined allowable time range cannot always be continuous, stop and go; if there are many time periods for starting and stopping, this kind of statistical work is very cumbersome and will take up a lot of time. long time

Therefore, the above-mentioned vehicle dispatching system does not make such statistics, and can only rely on manual supervision of the use of vehicles, so it cannot guarantee an objective and fair evaluation of the work discipline of each department and each driver.

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