System and method for whole-process monitoring of vehicle using service of chartered vehicle

Abstract

The invention aims to provide a service system and method for monitoring vehicle using in a whole process, the system comprises an intelligent scheduling module, a vehicle positioning module, a state monitoring module and a behavior analysis module, the intelligent scheduling module is used for receiving a vehicle using demand of a passenger; the intelligent scheduling module is used for querying the vehicle state information stored in the data center in real time, and matching a target vehicle based on the vehicle packing demand and the vehicle state information; the vehicle positioning module is used for positioning the target vehicle to obtain geographical location information; the state monitoring module integrates multiple types of sensors and is used for collecting state data of a target vehicle in the driving process and conducting vehicle safety analysis based on the state data. And the behavior analysis module is used for collecting behavior data of the driver and evaluating the driving behavior of the driver based on the behavior data. Therefore, all-directional multi-level monitoring is realized, and the high efficiency, the safety and the reliability of the car packing service are effectively guaranteed.

Description

Technical Field

[0001] This application relates to the field of computers, and particularly to a full-process monitoring system and method for chartered vehicle services. Background Art

[0002] With the development of modern cities, transportation has become an indispensable part of people's daily lives. Chartered vehicle services are also widely used in various travel scenarios, such as tourist charters and business charters. The current monitoring of chartered vehicle services basically stays at single video monitoring statistics, audio monitoring statistics, and user evaluation feedback to supervise chartered vehicle services. However, it cannot actively monitor and analyze the different impacts generated in different dimensions during the driver's service process, nor can it serve passengers more pertinently. Therefore, ensuring the efficiency, safety, and reliability of services has become a crucial task. Summary of the Invention

[0003] An object of this application is to provide a full-process monitoring system and method for chartered vehicle services, which solves the problems in the prior art.

[0004] According to one aspect of this application, a full-process monitoring system for chartered vehicle services is provided. The system includes: an intelligent scheduling module, a vehicle positioning module, a status monitoring module, and a behavior analysis module. Among them, the intelligent scheduling module is used to receive the chartered vehicle demand of passengers, where the chartered vehicle demand includes a reservation request and basic information of the chartered vehicle service;

[0005] The intelligent scheduling module is used to query the vehicle status information stored in the data center in real time, and match the target vehicle based on the chartered vehicle demand and the vehicle status information;

[0006] The vehicle positioning module is used to position the target vehicle to obtain geographical location information;

[0007] The status monitoring module integrates multiple types of sensors, is used to collect the status data of the target vehicle during driving, and perform vehicle safety analysis based on the status data;

[0008] The behavior analysis module is used to collect the behavior data of the driver and evaluate the driving behavior of the driver based on the behavior data.

[0009] Optionally, the system includes a service evaluation module, which is used to push a service evaluation request to passengers and collect evaluation information, and associate the evaluation information with the driver and the vehicle to establish a service quality file.

[0010] Optionally, the system includes an integrated management module, which is used to communicate with each module in the system using a standardized data interface protocol, and store the received data according to a preset data structure.

[0011] Optionally, the intelligent scheduling module includes a guiding interface, which includes a text box and a drop-down menu. The text box appears in a pop-up form for guiding passengers to fill in supplementary information about the carpooling, and the drop-down menu is used to provide users with options for the in-vehicle environment.

[0012] Optionally, the status data includes the current vehicle speed, vehicle acceleration, braking frequency, and tire pressure. The status monitoring module is used to analyze and judge the status data according to preset safety thresholds and driving standards, and issue a warning message when a safety anomaly occurs.

[0013] Optionally, the behavior data includes the driver's camera monitoring data, steering wheel operation data, and physiological monitoring data. The behavior analysis module is used to judge whether the driver is fatigued according to the camera monitoring data and physiological monitoring data, and judge the driving smoothness of the driver according to the steering wheel operation data.

[0014] Optionally, each module in the system that interacts with the data integration module encapsulates and marks the data according to a preset protocol to obtain processed data. Among them, the marking includes indicating the data source, type, and timestamp; the integration module is used to receive the processed data transmitted by each module in the system, and match and integrate the data of different modules according to the data association relationship.

[0015] Optionally, the system includes a service platform, which is used to provide an operation interface for passengers, receive the viewing requests of passengers on the operation interface, and display service-related information. Among them, the service-related information includes the vehicle location, driving trajectory, and service progress.

[0016] According to another aspect of the present application, there is also provided a method for monitoring the whole-process carpooling service, which includes:

[0017] Receiving the carpooling demand of the passenger, where the carpooling demand includes a reservation request and the basic information of the carpooling service;

[0018] Real-time querying the vehicle status information stored in the data center, and matching the target vehicle based on the carpooling demand and the vehicle status information;

[0019] Locating the target vehicle, collecting the status data of the target vehicle during driving, and performing vehicle safety analysis based on the status data;

[0020] Collecting the behavior data of the driver, and evaluating the driving behavior of the driver based on the behavior data.

[0021] According to another aspect of the present application, there is also provided a computer-readable medium having computer-readable instructions stored thereon, and the computer-readable instructions can be executed by a processor to implement the method as described above.

[0022] Compared with the prior art, the present application provides a full-process monitoring chartered vehicle service system, which includes: an intelligent scheduling module, a vehicle positioning module, a status monitoring module, and a behavior analysis module. Among them, the intelligent scheduling module is used to receive the chartered vehicle demand of passengers, where the chartered vehicle demand includes a reservation request and basic information of the chartered vehicle service; the intelligent scheduling module is used to query in real time the vehicle status information stored in the data center, and match a target vehicle based on the chartered vehicle demand and the vehicle status information; the vehicle positioning module is used to position the target vehicle to obtain geographical location information; the status monitoring module integrates multiple types of sensors and is used to collect the status data of the target vehicle during driving, and perform vehicle safety analysis based on the status data; the behavior analysis module is used to collect the behavior data of the driver and evaluate the driving behavior of the driver based on the behavior data. Thus, all-round and multi-level monitoring is realized, effectively ensuring the efficiency, safety and reliability of the chartered vehicle service, and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objects and advantages of the present application will become more apparent:

[0024] Figure 1 FIG. 1 shows a schematic structural diagram of a full-process monitoring chartered vehicle service system provided according to one aspect of the present application;

[0025] Figure 2 FIG. 2 shows a scheduling schematic diagram of the intelligent scheduling module in an embodiment of the present application;

[0026] Figure 3 FIG. 3 shows an interaction diagram between devices for implementing a full-process monitoring chartered vehicle service in an embodiment of the present application;

[0027] Figure 4 FIG. 4 shows a schematic flow diagram of a method for a full-process monitoring chartered vehicle service according to another aspect included in the present application.

[0028] Identical or similar reference numerals in the drawings represent identical or similar components. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The present application will be further described in detail below with reference to the drawings.

[0030] In a typical configuration of the present application, the terminal, the device of the service network, and the trusted party all include one or more processors (such as a Central Processing Unit (CPU)), an input / output interface, a network interface, and a memory.

[0031] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0032] The computer-readable medium includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of the computer storage medium include, but are not limited to, phase-change random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. As defined herein, the computer-readable medium does not include transitory media, such as modulated data signals and carrier waves.

[0033] To ensure the efficiency, security, and reliability of the service, the whole-process monitoring charter car service system has emerged. With the help of advanced technical means, it closely monitors and implements refined management of the whole process of the charter car service from reservation to the end of the journey, comprehensively improving the quality of the charter car service and providing strong guarantees for both passengers and operators.

[0034] Figure 1Schematic diagram showing the structure of a full-process monitoring chartered vehicle service system provided according to an aspect of the present application. The system includes: an intelligent scheduling module 100, a vehicle positioning module 200, a status monitoring module 300, and a behavior analysis module 400. Among them, the intelligent scheduling module 100 is used to receive the chartered vehicle demand of passengers, where the chartered vehicle demand includes a reservation request and basic information of the chartered vehicle service; the intelligent scheduling module 100 is used to query in real time the vehicle status information stored in the data center, and match the target vehicle based on the chartered vehicle demand and the vehicle status information; the vehicle positioning module 200 is used to position the target vehicle to obtain geographical location information; the status monitoring module 300 integrates multiple types of sensors and is used to collect the status data of the target vehicle during driving, and perform vehicle safety analysis based on the status data; the behavior analysis module 400 is used to collect the behavior data of the driver and evaluate the driving behavior of the driver based on the behavior data.

[0035] The intelligent scheduling module 100 is one of the core parts of the full-process monitoring chartered vehicle service system, responsible for real-time matching of the optimal vehicle resources according to customer needs and vehicle status; according to customer needs and vehicle status, intelligently scheduling vehicle resources to provide efficient chartered vehicle services. At the same time, manage the daily operation and maintenance work of the vehicles. Such as Figure 2As shown in the figure, the intelligent dispatching module enables the vehicle to perform the charter service according to the dispatching plan. After receiving the customer's demand, the charter platform will integrate and allocate resources for intelligent matching according to the demand. When matching, it can be based on the vehicle model, vehicle matching, number of people matching, demand matching and the best price, so as to select vehicles and drivers from different carriers. The intelligent dispatching module mainly includes the following functions: 1) User demand input: The user enters the charter demand through the service platform, and the charter demand includes information such as departure place, destination, departure time, number of passengers, etc. 2) Vehicle status query: The intelligent dispatching module queries the vehicle status information stored in the data center in real time, including vehicle location, idle status, vehicle model, etc. 3) Intelligent matching: According to user demand and vehicle status information, the intelligent dispatching module uses intelligent algorithms to match vehicles and generate the optimal dispatching plan. 4) Dispatching instruction issuance: The dispatching plan is issued to the selected vehicle, and the user is notified of the vehicle information and estimated arrival time. 5) Service execution and monitoring: The vehicle executes the charter service according to the dispatching plan, and the intelligent dispatching module monitors the service progress and vehicle status in real time to ensure the smooth completion of the service. Among them, the intelligent scheduling module includes a vehicle reservation and basic information module. User demand input is realized through the vehicle reservation and basic information module. This module is the starting entrance of the entire system and is responsible for receiving passengers' charter reservation requests and collecting basic information of charter services, including charter time range (start time, end time), departure place, destination, number of passengers, required vehicle model, etc. Passengers fill in these necessary information through online platforms (such as mobile APP or webpage) to initiate reservations. At the same time, the platform will also guide passengers to add some additional information that will help with subsequent monitoring and service optimization, such as whether there are special itineraries (such as multiple stops at specific locations and activities at specific times), special requirements for the in-car environment (temperature, cleanliness preference, etc.), and whether they carry special items (such as large luggage, fragile items, etc.). These supplementary information will serve as an important basis for subsequent service monitoring and adjustment.

[0036] The vehicle positioning module 200 is integrated with the vehicle-mounted GPS device or a high-precision positioning system based on a mobile network. The vehicle positioning module can obtain the precise geographic location information of the chartered vehicle in real time. The positioning data is continuously transmitted to the system backend server at a certain time interval (for example, once every 10 seconds). The system backend uses the geographic information system (GIS) technology to visualize the vehicle location on an electronic map. Both the operation dispatcher and the passenger can view the vehicle's location in real time through the corresponding client interface, clearly grasp the vehicle's driving trajectory, and ensure that the journey proceeds according to the predetermined plan. It is also convenient to make accurate decisions in the event of emergencies (such as traffic congestion and the need to adjust the route in time).

[0037] The status monitoring module 300 is deeply integrated with the vehicle's on-board computer system and various sensors (such as speed sensors, acceleration sensors, tire pressure sensors, etc.); it is used to monitor key parameters such as the vehicle's driving speed, fuel consumption, and engine status to ensure that the vehicle operates in a safe and economical state. To further ensure driving safety and improve service quality, the behavior analysis module 400 comprehensively analyzes the driver's driving behavior by collecting data from the driving behavior monitoring devices installed inside the vehicle, evaluates the driver's driving behavior, such as sudden acceleration, sudden braking, speeding, etc., and provides suggestions for improving driving behavior.

[0038] In some embodiments of the present application, the system includes a service evaluation module, which is used to push service evaluation requests to passengers and collect evaluation information, and associate the evaluation information with the driver and the vehicle to establish a service quality file. Here, after the chartered vehicle trip ends, the service evaluation module will actively push service evaluation requests to passengers, guiding passengers to evaluate multiple aspects of this chartered vehicle service, covering dimensions such as vehicle cleanliness, driver service attitude, rationality of itinerary arrangement, and satisfaction with in-vehicle facilities. Passengers can feedback opinions in the form of text evaluations, scoring (such as a 1-5 point system), etc. After the system collects this evaluation information and conducts summary analysis, on the one hand, it provides intuitive data support for the operator to understand the service quality, facilitating targeted service improvement; on the other hand, it associates the passengers' evaluations with relevant information such as drivers and vehicles to establish a service quality file. For drivers and vehicles with excellent long-term performance, appropriate rewards and preferential deployments can be given to motivate the entire service team to continuously improve service levels.

[0039] In some embodiments of the present application, the system includes an integrated management module, which is used to communicate with each module in the system using a standardized data interface protocol and store the received data according to a preset data structure. Here, as the core hub of the entire system, the integrated management module is the data integration and management center, mainly responsible for uniformly collecting, integrating, and storing the data collected by the above-mentioned various modules. It communicates with each module using a standardized data interface protocol to ensure that data from different sources and in different formats can be smoothly accessed and normalized. For example, for the latitude and longitude coordinate data transmitted by the vehicle positioning module, various sensor numerical data transmitted by the status monitoring module, and the text and rating data of the service evaluation module, etc., the data integration and management center will organize them according to a unified data structure and store them in a high-performance database for subsequent data query, analysis, and service optimization based on data mining, etc.; among them, the database can be a relational database such as MySQL or a non-relational database such as MongoDB, and the database used can be flexibly selected according to the data characteristics and application scenarios. At the same time, this center also has a data security protection function, and uses encryption technology, access control, etc. to ensure that passenger and operation-related data is not leaked, and maintains the integrity and confidentiality of the data.

[0040] Continuing with the above embodiments, each module in the system that interacts with the data integration module encapsulates and marks the data according to a preset protocol to obtain processed data, where the mark includes indicating the data source, type, and timestamp; the integration module is used to receive the processed data transmitted by each module in the system and match and integrate the data from different modules according to the data association relationship. Here, the data integration between each functional module is uniformly coordinated through the data integration module. The data integration module defines a set of standardized data interaction protocols. After each module collects data, it encapsulates and marks the data according to the protocol requirements, indicating key information such as the data source, type, and timestamp, and then sends it to the data integration module; after the data integration module receives the data, it matches and integrates the data from different modules according to the preset rules and data association relationship. For example, the position data of the vehicle positioning module is associated with the vehicle speed data collected by the driving status monitoring module at the same moment. When analyzing the driving trajectory and speed change of the vehicle during a certain period, the corresponding data can be conveniently extracted from the integrated data set for joint analysis, providing comprehensive and accurate data support for the whole process monitoring.

[0041] It should be noted that in the system described in this application, there is also an integration of hardware and software, mainly including: 1) Integration of in-vehicle devices and system software. For the hardware such as in-vehicle GPS devices, various sensors, and monitoring instruments involved in the vehicle positioning module, driving state monitoring module, and driving behavior analysis module, they are connected to the background software of the system through the Controller Area Network (CAN) bus inside the vehicle or a wireless communication module (such as a 4G / 5G module). The CAN bus is responsible for transmitting data between in-vehicle hardware devices, ensuring that the data collected by sensors can be quickly and stably aggregated to the in-vehicle communication module, and then the data is sent to the system background server in real time through the wireless communication network. The system background software installs corresponding driver programs and data receiving and parsing programs, which can identify and process the data formats from different in-vehicle hardware devices, convert them into a standard data structure for system analysis and application, and achieve seamless docking between hardware and software. 2) Integration of the client and the system platform. The client (APP or web page) used by passengers and the management client used by operation and dispatching personnel are integrated with the system platform through the RESTful API (Representational State Transfer Application Programming Interface). Operations such as charter reservation requests initiated by the client and submission of passenger service evaluations are sent to the system platform by calling the corresponding API interfaces through the HTTP protocol. After receiving the requests, the platform processes the business logic and returns the processing results (such as reservation success feedback, real-time vehicle location information push, evaluation receipt confirmation, etc.) to the client through the API interfaces for display, ensuring efficient and reliable data interaction between different terminals and the system platform and facilitating all parties to use the system functions.

[0042] Figure 3The interaction diagram among devices for implementing full-process monitoring of chartered vehicle services in an embodiment of the present application is shown. Among them, the devices include a user mobile terminal, a vehicle-mounted terminal, and a service platform. The user mobile terminal provides a visual operation interface for the user, and the user can view information such as vehicle location, driving trajectory, and service progress through the service platform; the vehicle-mounted terminal is installed on the chartered vehicle and includes a driving recorder, a fuel consumption monitor, an engine status monitor, etc., which are responsible for collecting data such as the real-time position, driving status, and driving behavior of the vehicle, and uploading the data to the service platform through a communication network; advanced wireless network communication technologies (such as 4G / 5G) are adopted to ensure stable and fast transmission of data between the vehicle-mounted terminal and the service platform; the service platform is a data service center, which intelligently schedules vehicle resources according to user needs, receives and stores data from the vehicle-mounted terminal, and at the same time processes and analyzes the data using big data analysis and intelligent scheduling algorithms to generate service results such as vehicle status reports and driving behavior analysis reports.

[0043] In some embodiments of the present application, the intelligent scheduling module includes a guiding interface, and the guiding interface includes a text box and a drop-down menu. The text box appears in a pop-up form for guiding passengers to fill in supplementary information for using the vehicle, and the drop-down menu is used to provide options for the user to select the in-vehicle environment. Here, the system of the present application can also collect supplementary information. The intelligent scheduling module includes a guiding interface, and supplementary information is collected through this guiding interface. In the initial stage of booking a chartered vehicle service, a friendly and clear interaction interface is designed through an online booking platform to guide passengers to actively fill in various types of supplementary information. Questions will be presented on the interface in the form of clear text boxes, drop-down menus, radio boxes, etc., to facilitate passengers to accurately input their special needs and additional arrangements. For example, for special itinerary arrangements, a question of "whether there is a need for a mid-way stop" will be provided, and in the case of selecting "yes", a text box will further pop up for the passenger to fill in details such as the stop location and the expected stop duration; for special requirements for the in-vehicle environment, common temperature range options and cleanliness evaluation criteria are provided in the form of a drop-down menu for the passenger to select, so that passengers can express their expectations as completely and conveniently as possible, laying a foundation for subsequent accurate service monitoring and guarantee.

[0044] The system described in the embodiments of the present application can also perform intelligent prompting and guidance. Based on the basic charter information filled in by the passenger and common demand scenarios in past charter services, the system will intelligently pop up relevant prompt information to guide the passenger to supplement information that may be omitted but is relatively important. For example, when the chartered vehicle itinerary reserved by the passenger involves a long-distance tour and the number of passengers is large, the system will prompt "Do you carry large luggage or special items? If so, please indicate the size, weight and special storage requirements". Through this proactive prompt, it helps the passenger to more comprehensively consider their own needs, supplement and improve the information, and improve the service matching degree. The system can also perform dynamic collection during the journey. During the actual journey of the chartered vehicle service, if there are some temporary special situations or the passenger has new demand changes, the system also supports dynamic collection and supplementation of information. For example, if the vehicle needs to temporarily change the route due to traffic control, the system will push a message to the passenger through the in-vehicle intelligent interaction terminal, inform the situation and ask the passenger if there are any other special considerations (such as whether to avoid certain areas, prefer to pass through specific locations, etc.); or if the passenger finds that the temperature in the vehicle is not suitable during the journey and gives feedback through the terminal, the system will not only promptly notify the driver to adjust, but also record this temporary temperature requirement as supplementary information for subsequent optimization of the service arrangement for this passenger and similar scenarios.

[0045] In some embodiments of the present application, the status data includes the current vehicle speed, vehicle acceleration, braking frequency, and tire pressure. The status monitoring module is used to analyze and judge the status data according to preset safety thresholds and driving standards. When a safety anomaly occurs, a warning message is issued. Here, the sensor real-time collects various status data during the vehicle driving process, including key parameters such as the current vehicle speed, vehicle acceleration, braking frequency, and tire pressure, and transmits these data to the system. The system will analyze and judge the data according to the preset safety thresholds and normal driving range standards. For example, if the vehicle speed exceeds the maximum speed limit specified for a certain section or the vehicle has an abnormal emergency braking situation (such as the braking frequency is too high within a short period of time), the system will immediately issue a warning message to remind the operator to pay attention to the vehicle driving safety, promptly check possible problems, and ensure the driving safety and the efficiency of the journey.

[0046] In some embodiments of the present application, the behavior data includes the driver's camera monitoring data, steering wheel operation data, and physiological monitoring data. The behavior analysis module is used to determine whether the driver is fatigued based on the camera monitoring data and physiological monitoring data, and to determine the driving smoothness of the driver based on the steering wheel operation data. Here, the driving behavior monitoring device includes a camera, a steering wheel operation sensor, a fatigue driving monitor, etc.; the driver's camera monitoring data is the data captured by the camera, and the camera can capture information such as the driver's facial expression and line of sight, which is used to determine whether the driver is fatigued (such as behaviors like frequent yawning and long-term closing of eyes) or inattentive; the steering wheel operation sensor can record the operation conditions such as the force and frequency of the driver turning the steering wheel, and analyze the driving smoothness of the driver in combination with information such as vehicle speed; the fatigue driving monitor comprehensively determines the fatigue state of the driver by monitoring the driver's physiological signals (such as heart rate and blink frequency). The system uses image recognition algorithms, data analysis models, etc. to process these multi-dimensional data. When detecting that the driver has bad driving behaviors or a risk of fatigue driving, it timely sends a reminder message to urge the driver to adjust the state and ensure driving safety.

[0047] In some embodiments of the present application, the system includes a service platform for providing an operation interface for passengers, receiving the viewing requests of passengers on the operation interface, and displaying service-related information, where the service-related information includes vehicle location, driving trajectory, and service progress. Here, the service platform provides a visual operation interface for users, and users can view information such as vehicle location, driving trajectory, and service progress through the service platform. At the same time, the service platform can also intelligently dispatch vehicle resources according to user needs.

[0048] The system of the present application further includes a fault warning and diagnosis module for real-time monitoring of vehicle fault information, timely sending warning notifications, and providing fault diagnosis and repair suggestions. By real-time monitoring and warning of potential faults, the system can arrange maintenance and repair in advance to avoid additional costs caused by faults.

[0049] The system described in the embodiments of this application mainly includes a reservation stage, a pre-service preparation stage, a journey monitoring stage, and a service evaluation stage. Among them, in the reservation stage: The passenger initiates a chartered vehicle reservation through the client, fills in basic information and supplements relevant special requirements and other information. The system receives and stores this information, and at the same time conducts preliminary resource allocation (such as finding available vehicles, matching drivers, etc.). After the reservation is successful, the system feeds back the reservation result and journey-related reminder information to the passenger. In the pre-service preparation stage: According to the reservation information, the system assigns relevant tasks to the corresponding driver and vehicle. After receiving the notice, the driver conducts a pre-departure inspection of the vehicle to ensure that the vehicle is in good operating condition; at the same time, each monitoring module of the system (vehicle positioning, status monitoring, behavior analysis, etc.) starts the initialization settings to prepare for real-time receiving and processing of data. In the journey monitoring stage: After the vehicle departs, each monitoring module starts to collect and transmit data to the data integration and management center in real time. The center integrates and analyzes the data, and judges whether the vehicle driving status and the driver's driving behavior are normal according to the preset rules. If abnormal situations occur (such as speeding, fatigue driving, etc.), warning information is sent in a timely manner. At the same time, the real-time vehicle position, journey progress and other information are pushed to the passenger and the operation dispatcher to facilitate all parties to understand the situation; if there are temporary changes during the journey (such as route adjustment, new passenger requirements, etc.), supplementary information is collected through the corresponding interaction mechanism and the service arrangement is adjusted in a timely manner. In the service evaluation stage: After the chartered vehicle journey ends, the passenger service evaluation module pushes an evaluation request to the passenger. The passenger feedbacks the evaluation information. The system collects and analyzes these evaluations, and associates the evaluation results with the driver, vehicle, etc., which is used for subsequent service quality assessment, optimization, and resource allocation decision-making, etc., to complete the monitoring and management cycle of the entire chartered vehicle service process. Through comprehensive and detailed information acquisition, scientific and reasonable integration methods, and rigorous and orderly work processes, the all-round and multi-level monitoring of the chartered vehicle service is realized, effectively guaranteeing the efficiency, safety and reliability of the chartered vehicle service, providing strong support for the healthy development of the chartered vehicle service industry and the high-quality travel experience of passengers, and having broad application prospects and important practical significance.

[0050] Figure 4 The flowchart shows a method for monitoring the whole process of chartered vehicle service according to another aspect of the present application. The method includes: steps S11 to S14, where

[0051] Step S11: Receive the charter bus demand from the passenger. Herein, the charter bus demand includes a reservation request and basic information of the charter bus service. Here, the user inputs the charter bus demand through the service platform, and the charter bus demand includes information such as the departure place, destination, departure time, and number of passengers. The basic information of the charter bus service is collected, including the charter bus time range (start time, end time), departure place, destination, number of passengers, required vehicle type, etc. The passenger fills in these necessary information through the online platform (such as mobile APP or web page) to initiate a reservation. At the same time, the platform will also guide the passenger to supplement some additional information that helps with subsequent monitoring and service optimization, such as whether there are special itinerary arrangements (such as multiple stops at specific locations during the journey, activity arrangements at specific times, etc.), special requirements for the in-vehicle environment (temperature, cleanliness preference, etc.), and whether special items are carried (such as large luggage, fragile items, etc.). These supplementary information will serve as important bases for subsequent service monitoring and adjustment.

[0052] Step S12: Query in real time the vehicle status information stored in the data center, and match the target vehicle based on the charter bus demand and the vehicle status information. Herein, query in real time the vehicle status information stored in the data center, including vehicle location, idle status, vehicle type, etc.; according to the user's demand and the vehicle status information, the intelligent scheduling module uses intelligent algorithms for vehicle matching to generate an optimal scheduling plan. The scheduling plan is sent to the selected vehicle, and at the same time, the user is notified of the vehicle information and the estimated arrival time. The vehicle executes the charter bus service according to the scheduling plan, and the intelligent scheduling module monitors the service progress and vehicle status in real time to ensure the smooth completion of the service. Through the intelligent scheduling algorithm, the system can match the optimal vehicle resources in real time according to the customer's demand and vehicle status, reduce the waiting time, and improve the service response speed. The system can monitor the vehicle location and driving status in real time to ensure that the charter bus service is completed on time and avoid service delays caused by vehicle failures or traffic congestion.

[0053] Step S13: Locate the target vehicle and collect the status data of the target vehicle during driving, and perform vehicle safety analysis based on the status data. Here, the precise geographical location information of the chartered vehicle is obtained in real time. The positioning data is continuously transmitted to the background server at a certain time interval (for example, once every 10 seconds), and the background server uses Geographic Information System (GIS) technology to visually display the vehicle position on an electronic map. Both the operation dispatcher and the passenger can view the vehicle's location in real time through the corresponding client interface, clearly master the vehicle's driving trajectory, ensure that the itinerary progresses according to the predetermined plan, and at the same time facilitate making accurate decisions in case of emergencies (such as traffic congestion requiring timely route adjustment). The status data is obtained by real-time monitoring of in-vehicle sensors and includes key parameters such as the vehicle's driving speed, fuel consumption, and engine status, to detect and warn of potential faults in a timely manner and improve driving safety. It can perform real-time analysis of the driver's driving behavior, such as dangerous behaviors like sudden acceleration, sudden braking, and speeding, and provide driving suggestions in a timely manner to reduce the accident risk. Monitor key parameters such as the vehicle's driving speed, fuel consumption, and engine status to ensure that the vehicle operates in a safe and economical state. Through means such as data encryption and permission management, ensure the security and privacy of user data and enhance user trust.

[0054] Step S14: Collect the driver's behavior data and evaluate the driver's driving behavior based on the behavior data. Here, the driver's driving behavior is comprehensively analyzed by collecting the data collected by the driving behavior monitoring equipment installed inside the vehicle, evaluate the driver's driving behavior, such as sudden acceleration, sudden braking, speeding, etc., and provide suggestions for improving driving behavior. If abnormal situations occur (such as speeding, fatigue driving, etc.), warning messages are sent in a timely manner, and at the same time, real-time vehicle position, itinerary progress and other information are pushed to passengers and operation dispatchers to facilitate all parties to understand the situation.

[0055] When implementing the method described in this application, data security and privacy protection are also required, including encrypted data storage: encrypt sensitive data to prevent data leakage and illegal access. Permission management: Establish a strict user permission management mechanism to ensure that only authorized personnel can access relevant data. Regular backup and recovery: Regularly back up the system data to prevent data loss or damage. At the same time, establish a data recovery mechanism to ensure that data can be recovered in a timely manner in case of data loss or damage.

[0056] In addition, an embodiment of this application also provides a computer-readable medium, on which computer-readable instructions are stored, and the computer-readable instructions can be executed by a processor to implement the foregoing method for comprehensively monitoring the chartered vehicle service process.

[0057] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to include these modifications and variations.

[0058] It should be noted that this application can be implemented in software and / or a combination of software and hardware. For example, it can be implemented using an application specific integrated circuit (ASIC), a general purpose computer, or any other similar hardware device. In one embodiment, the software program of this application can be executed by a processor to implement the steps or functions described above. Similarly, the software program of this application (including related data structures) can be stored in a computer-readable recording medium, such as a RAM memory, a magnetic or optical drive, or a floppy disk and similar devices. Additionally, some steps or functions of this application can be implemented using hardware, such as a circuit that cooperates with a processor to execute each step or function.

[0059] In addition, a part of this application can be applied as a computer program product, such as computer program instructions, which when executed by a computer, can call or provide the methods and / or technical solutions according to this application through the operation of the computer. The program instructions for calling the methods of this application may be stored in a fixed or removable recording medium, and / or transmitted through a data stream in a broadcast or other signal-bearing medium, and / or stored in the working memory of a computer device that runs according to the program instructions. Here, an embodiment according to this application includes a device that includes a memory for storing computer program instructions and a processor for executing the program instructions. When the computer program instructions are executed by the processor, the device is triggered to run based on the methods and / or technical solutions according to the foregoing multiple embodiments of this application.

[0060] For those skilled in the art, it is obvious that this application is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of this application, this application can be implemented in other specific forms. Therefore, from any perspective, the embodiments should be regarded as exemplary and non-restrictive. The scope of this application is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in this application. Any reference signs in the claims should not be regarded as limiting the claims involved. In addition, obviously, the word "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple modules or devices stated in the apparatus claims can also be implemented by one module or device through software or hardware. First, second, etc. are used to represent names and do not represent any specific order.

Claims

1. A full-process monitoring chartered car service system, characterized in that: The system includes: an intelligent dispatching module, a vehicle positioning module, a status monitoring module and a behavior analysis module, wherein: The intelligent dispatching module is used to receive the passenger's charter demand, wherein the charter demand includes a reservation request and basic information of the charter service; The intelligent scheduling module is used to query the vehicle status information stored in the data center in real time, and match the target vehicle based on the charter demand and the vehicle status information; The vehicle positioning module is used to locate the target vehicle and obtain geographical location information; The state monitoring module integrates multiple types of sensors to collect state data of the target vehicle during driving and perform vehicle safety analysis based on the state data; The behavior analysis module is used to collect the driver's behavior data and evaluate the driver's driving behavior based on the behavior data.

2. The system according to claim 1, characterized in that The system includes a service evaluation module, which is used to push service evaluation requests to passengers and collect evaluation information, and associate the evaluation information with drivers and vehicles to establish a service quality file.

3. The system according to claim 1 or 2, characterized in that: The system includes an integrated management module, which is used to communicate with various modules in the system using a standardized data interface protocol and store received data according to a preset data structure.

4. The system according to claim 1, characterized in that The intelligent scheduling module includes a guidance interface, which includes a text box and a drop-down menu. The text box appears in a pop-up form to guide passengers to fill in supplementary information for using the car, and the drop-down menu is used to provide users with in-car environment options.

5. The system according to claim 1, characterized in that The status data includes current vehicle speed, vehicle acceleration, braking frequency, and tire pressure. The status monitoring module is used to analyze and judge the status data according to preset safety thresholds and driving standards, and issue a warning message when a safety abnormality occurs.

6. The system according to claim 1, characterized in that The behavior data includes the driver's camera monitoring data, steering wheel operation data and physiological monitoring data. The behavior analysis module is used to determine whether the driver is driving fatigued based on the camera monitoring data and physiological monitoring data, and to determine the driver's driving stability based on the steering wheel operation data.

7. The system according to claim 3, characterized in that Each module in the system that interacts with the data integration module encapsulates and marks the data according to a preset protocol to obtain processed data, wherein the mark includes indicating the data source, type and timestamp; the integration module is used to receive the processed data transmitted by each module in the system, and match and integrate the data of different modules according to the data association relationship.

8. The system according to claim 1, characterized in that The system includes a service platform, which is used to provide an operation interface for passengers, receive viewing requests from passengers on the operation interface, and display service-related information, wherein the service-related information includes vehicle location, driving trajectory, and service progress.

9. A method for monitoring the whole process of chartered car service, characterized in that: The method comprises: Receiving a passenger's charter demand, wherein the charter demand includes a reservation request and basic information of the charter service; Real-time query of vehicle status information stored in the data center, and matching of target vehicles based on the chartered vehicle demand and vehicle status information; Positioning the target vehicle, collecting status data of the target vehicle during driving, and performing vehicle safety analysis based on the status data; The driver's behavior data is collected, and the driver's driving behavior is evaluated based on the behavior data.

10. A computer-readable medium having computer-readable instructions stored thereon, wherein the computer-readable instructions can be executed by a processor to implement the method according to claim 9.

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