Driving school intelligent management and intelligent vehicle learning integrated system

Abstract

The invention discloses a driving school intelligent management and intelligent vehicle learning integrated system. The system comprises a vehicle information acquisition system, a high-precision differential evaluation system, a vehicle-mounted intelligent terminal system and an intelligent driving training management system. The high-precision differential evaluation system comprises a site high-precision base station and a vehicle-mounted data mobile receiver. The vehicle-mounted data mobile receiver can receive and transmit vehicle operation dynamic conditions and driving tracks between the site high-precision base station and the vehicle-mounted intelligent terminal system; The vehicle-mounted intelligent terminal system comprises a data operation arrangement module, an in-vehicle information collection module used for collecting trainee training information and an information display module used for displaying the information. The data operation arrangement module is connected with a vehicle information acquisition system, a vehicle-mounted mobile receiver of a high-precision differential evaluation system, an in-vehicle information acquisition module, an information displaymodule and an intelligent driving training management system. The data operation arrangement module can generate a personalized learning file of each student, and the personalized learning files can be transmitted to the intelligent driving training management system.

Description

Technical field [0001] The invention relates to the field of driving school management systems, in particular to a driving school intelligent management and intelligent learning car integrated system. Background technique [0002] At present, the number of graduates from driving schools in China exceeds 30 million every year, and driving schools are still expanding. As of 2018, there are 13,000 driving schools in China. Although the current driving school industry has a history of 20 years, the management of the driving school is still very traditional and backward. The driving school is faced with severe problems in vehicle management, coaching management, student management, and teaching promotion rate. [0003] First of all, the quality of the current traditional driving school coaches is uneven, and the aging is obviously increasing. The traditional coaches lack service awareness and teaching standardization awareness. Teaching depends on the coach’s personal experience. In add...

AI Technical Summary

Problems solved by technology

[0006] 1. From the perspective of vehicle management, medium and large driving schools have an average of 50-300 coaches, and the coaches are scattered in several corners of the city and even multiple cities. It is difficult for the driving school management to monitor each vehicle accurately and in real time. The operation, trajectory, positioning, fuel consumption rationality, and teaching legitimacy

[0007] 2. From the perspective of coach management, there are various methods and techniques for learning to drive in the current driving training market. Most of the methods only come from the experience of coaches or personal subjective judgments. The teaching lacks standardization, and standardized methods are difficult to monitor efficiently. Relying on the personal subjective consciousness of the coach, the teaching quality is uneven, the teaching lacks data, and the method lacks standardization

[0008] 3. From the perspective of student learning and student management, driving schools involve a large number of student training and backlog issues

In traditional student training, there is no real-time training record for car learning. The status of car learning, the quality of car learning skills, the duration of car learning, individual car learning problems, and point problems are not efficiently and completely saved, and the learning cycle of students is generally not less than 2 Months, more than 3 years at most, in the absence of records, the driving school is even more unable to provide high-quality and efficient service to teaching for students to learn to drive

[0009] 4. The driving school’s ineffective supervision and management of coaches will also lead to a complete lack of protection for students’ sense of service experience

[0010] 5. At present, the teaching in the driving training market is highly dependent on the subjective assumptions of the coaches. Coaches generally have inherent teaching thinking based on experience theory. The teaching lacks data presentation, and the accuracy of coaches' teaching judgments is low. They cannot effectively improve students' ability to learn to drive and test, which leads to the passing rate of students in learning to drive. low problem

[0011] 6. In the process of students learning to drive, there is a lack of efficient, direct, and high-quality communication channels with the management of the driving school. Problems tend to accumulate and cause more complaints from students or more serious problems caused by improper management and untimely handling of problems A series of operational management issues such as driving school vehicles and coaches are not conducive to the management and long-term sustainable development of the driving school

[0012] 7. The essential reason for all disputes with coaches and schools in the past when students were learning to drive was that the driving school lacked a complete, complete, real-time, and all-round record and presentation of data-based and learning-to-drive services for students during the process of learning to drive , so the owner or management of the driving school is often prone to make mistakes in judging responsibility

[0019] 14. Nowadays, the driving school teaching site lacks real-time voice and video recording and upload backup of the learning process, and the learning process cannot be traced back, resulting in a series of driving responsibility issues that cannot be accurately judged

[0020] 15. The management of the driving school lacks scientific and efficient summarization or real-time synchronization and scientific analysis of the driving school's real-time, even periodic, staged operating status and data conditions. Traditional driving schools rely on the most primitive manual calculations and scientific analysis for data collation. Multiple departments coordinate and summarize, lack systematic and data-based thinking, and the time period for data collation is too long, so that the data is lagging, and problems are not found in time, and the existing market lacks a set of solutions for driving school operations, finance, etc. , income and expenditure, real-time data summary, and data analysis, the scientific and efficient OA system assists the driving school managers to understand the internal situation of the driving school in real time, and cannot improve the management efficiency and decision-making accuracy of the driving school managers.

[0021] 16. The installation of existing equipment on the market is very complicated. Excessive physical modification of the original form of the vehicle will destroy the original line form of the vehicle, which will easily cause a relatively large safety hazard, which will cause threats to the personal safety of the vehicle and even the coaches and students, and aggravate the driving school. operational risk

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