Automatic unmanned driving passenger vehicle under safe data condition

Abstract

The invention provides an automatic unmanned driving passenger vehicle under a safe data condition. The automatic unmanned driving passenger vehicle comprises a vehicle body structure and an intelligent control system, the vehicle body structure comprises a chassis, a vehicle body and a human body seat; the intelligent control system comprises a plurality of modules: a driving module for driving; the data acquisition and analysis module acquires and processes multi-source data and is used for regulating and controlling a carriage environment, supplementing energy and the like; the environment sensing module realizes the functions of passenger identification, security check, monitoring and the like through various devices; the safety guarantee module identifies obstacles and vehicle speed and guarantees vehicle safety; the automatic driving decision module determines an ideal speed and an obstacle avoidance distance according to the passenger capacity and navigates; the energy management module manages the battery pack and charges; by integrating various advanced technologies and innovative designs, the overall performance, safety, comfort and operation efficiency of the automatic unmanned passenger vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to an automatic unmanned passenger vehicle under safety data conditions. Background Art

[0002] With the rapid development of science and technology, the field of intelligent transportation has made significant progress. As a key part of it, autonomous driving technology has attracted much attention in recent years and has made continuous breakthroughs; early autonomous driving technology research mainly focused on basic environmental perception and vehicle control algorithms, such as using simple radars and cameras to achieve vehicle adaptive cruise control and simple obstacle avoidance; over time, technology has gradually developed towards higher levels of autonomous driving, integrating a variety of sensor technologies, such as lidar, millimeter-wave radar, cameras, etc., to improve the accuracy and reliability of environmental perception; at the same time, the rapid development of technologies such as big data, artificial intelligence and cloud computing has also provided autonomous driving technology with powerful data processing and decision support capabilities, enabling vehicles to achieve autonomous driving in more complex traffic scenarios; However, the existing technology still has many problems. In terms of data collection, although some vehicle operation data can be obtained, the diversity and accuracy of the data still need to be improved. Some sensors have problems such as insufficient accuracy and susceptibility to interference, and cannot fully and accurately reflect the true status of the vehicle and the surrounding environment information, which may cause the vehicle to respond to environmental changes in an untimely or inaccurate manner during driving. In terms of environmental perception, the ability to recognize and classify objects in complex scenarios is not yet perfect. For example, in severe weather conditions or when encountering special-shaped obstacles, the recognition accuracy may drop significantly, affecting the safety of vehicle driving. Although the safety assurance system has developed to a certain extent, its ability to respond to hacker attacks and system failures is still weak. Once there is a problem with the main control system, the switching of the backup system may not be timely or stable enough, posing potential risks to passenger safety. Automatic driving decision models often do not have Fully considering the impact of vehicle passenger capacity on driving speed and obstacle avoidance distance, resulting in the inability to achieve optimal vehicle performance under different passenger loads, which may affect passenger comfort and increase energy consumption and safety hazards; in terms of energy management, there is still room for improvement in charging efficiency and energy recovery rate. The power generation efficiency of solar charging panels is limited by the inaccurate installation position and angle adjustment. The compatibility and charging speed of wired charging mode also need to be further optimized; the intelligent interactive function is relatively simple and cannot meet the diverse and personalized needs of passengers, and the stability and functional scalability of remote services are insufficient; in terms of vehicle maintenance management, there is a lack of effective fault prediction and intelligent maintenance plan generation mechanism, most of which rely on regular maintenance, making it difficult to detect potential faults in advance. At the same time, the inventory management of parts is not accurate enough, which can easily cause inventory backlogs or shortages, affecting the normal operation of the vehicle and maintenance cost control; Therefore, there is an urgent need in the art for an automatic unmanned passenger vehicle under safety data conditions to solve the above problems. Summary of the invention

[0003] The present invention provides an automatic unmanned passenger vehicle under safety data conditions, aiming to solve the problems existing in the above-mentioned prior art, and improves the overall performance, safety, comfort and operational efficiency of the automatic unmanned passenger vehicle by integrating various advanced technologies and innovative designs.

[0004] The present invention provides an automatic unmanned passenger vehicle under safety data conditions, comprising a vehicle body structure and an intelligent control system; the vehicle body structure comprises a vehicle chassis and a vehicle body, the vehicle chassis is provided with basic components for supporting and driving the vehicle, and the vehicle body is provided with a plurality of human seats for passengers to sit on; the intelligent control system comprises: A driving module, used for driving the vehicle body; The data acquisition and analysis module is used to collect multi-source data related to vehicle operation, including collecting the temperature and humidity information in the passenger compartment of the passenger vehicle, the passenger status information of the human seat, the fuel and power information, the vehicle tire pressure information, the engine operation parameter information, the fire hazard information, and the dangerous goods detection information through the sensor unit, and transmit these data to the cloud computing system, and perform comprehensive analysis and calculation processing based on the data. According to the analysis results, the air conditioning system is controlled to adjust the compartment environment, the vehicle is directed to go to the service area for energy replenishment or maintenance operations, and an alarm signal is issued in dangerous conditions and uploaded to the cloud computing system; The environmental perception module uses the high-definition networked camera, infrared scanner and image comparison library in the cloud computing system installed at the door of the passenger car, and uses the portrait recognition technology in the high-definition networked camera to intelligently identify and take photos to record the facial images and body movement images of passengers getting on and off the car, and judge whether they match the passenger information uploaded to the cloud computing system in advance, whether there is a violent incident and whether the corresponding passengers get on or off the car at the scheduled station. At the same time, it scans and identifies the luggage information carried by the passengers for security inspection of prohibited items and uploads it to the cloud computing system to form a database. Seat belt alarms and detection devices are set on the human seats. The seat belt alarm prompts an alarm when the passenger does not fasten the seat belt. The detection device detects whether the passenger is safely seated or leaves the seat. The body is equipped with a luggage rack or luggage compartment and an emergency alarm button. The emergency alarm button is connected to the local public security alarm system nearby through the cloud computing system and is preferably set next to each human seat. The monitoring system monitors the environment inside the car and around the vehicle in real time and uploads it to the cloud computing system; The safety assurance module is used to identify the location of obstacles and the vehicle's own speed. When it is determined that the vehicle will hit an obstacle, the ECU in the drive module controls the vehicle, and at the same time sends the judgment result to the cloud computing system and receives the feedback command from the cloud computing system to control the vehicle again through the drive module. The image, voiceprint and fingerprint processors enable the image information captured by the camera module to be uploaded to the data processing module after data filtering. The voiceprint information collected by the microphone array is transmitted to the data module after sound data processing. After data analysis, instructions are issued to the execution terminal. The drive module starts, stops or avoids obstacles, and the electronic locks are unlocked or closed. The unmanned passenger vehicle is also equipped with an intelligent mechanical arm for automatically carrying luggage or automatically sorting and transporting goods to smart small unmanned transport vehicles, as well as an SOS emergency circuit module. The monitoring and detection system cooperates with the sensor module and the intelligent recognition system to comprehensively monitor and detect vehicle information to ensure the safe operation of the vehicle. The vehicle is also equipped with a positioning device for real-time positioning. An automatic driving decision module, which is connected to the environment perception module and the safety assurance module, and is used to determine the ideal driving speed and ideal obstacle avoidance distance of the vehicle according to the vehicle passenger capacity to ensure driving safety and operation efficiency, realize the navigation driving function through a preset route, and at the same time send the ideal driving speed and ideal obstacle avoidance distance to the safety assurance module to adjust the vehicle driving speed and obstacle avoidance strategy; The energy management module is composed of a battery pack, a charging unit, a charging and discharging chip, and a power detection chip. The charging unit includes a solar charging module and a wired charging module. The solar charging unit has a retractable solar charging panel arranged around the body and on the upper end surface. The power detection chip includes a CPU, a voltage monitoring subunit, a current monitoring subunit, a battery status detection subunit and a bus communication subunit. A solar power generation unit or a wind power generation unit is also provided on the upper end of the body to connect the battery pack for charging, and a QR code scanning identification area is set to facilitate passengers to scan the code to place orders and pay.

[0005] According to an automatic unmanned passenger vehicle under safety data conditions provided by the present invention, in the automatic driving decision module, the calculation process of the ideal driving speed and the ideal obstacle avoidance distance includes: Get the vehicle's unloaded mass M0; Determine the number of passengers n based on the number of boarding and alighting determined in the environment perception module; The ideal average mass m of a single passenger is set in advance; Calculate the current total mass M of the passenger vehicle, M=M0+nm; The ideal driving speed v is calculated by the ideal speed model, and the ideal speed model is: , Where P is the maximum power of the vehicle engine, u ris the rolling resistance coefficient of the vehicle, C d is the air resistance coefficient, A is the frontal area of ​​the vehicle, p is the air density, and g is the acceleration due to gravity; The ideal obstacle avoidance distance d is calculated by the ideal distance model, and the ideal distance model is: , Among them, d is the ideal obstacle avoidance distance, which represents the minimum braking distance under the current passenger state; v is the ideal driving speed, M is the current total mass of the passenger vehicle, and F b It is the maximum braking force when the vehicle brakes; Output the ideal driving speed v and ideal obstacle avoidance distance d of the passenger vehicle under the current passenger loading state.

[0006] According to an automatic unmanned passenger vehicle under safety data conditions provided by the present invention, the data collection and analysis module includes: The temperature and humidity collection unit uses high-precision temperature and humidity sensors installed in multiple key locations in the car to ensure accurate collection of temperature and humidity data in different areas of the car, providing an accurate basis for the intelligent control of the air-conditioning system; The seat status monitoring unit is composed of an array of pressure sensors distributed inside each human seat. It can accurately sense the pressure distribution and changes on the seat, so as to accurately determine whether there are passengers sitting and the changes in the passenger's sitting posture; The vehicle energy monitoring unit includes a fuel level sensor and a power sensor. The fuel level sensor uses the ultrasonic measurement principle to monitor the fuel level in the fuel tank in real time. The power sensor uses the coulomb counting method to accurately measure the power of the battery pack. The vehicle health monitoring unit is composed of multiple sensors, including tire pressure sensor, engine temperature sensor, engine pipeline flow sensor, etc. The tire pressure sensor uses wireless transmission technology to transmit tire pressure data to the data acquisition and analysis module in real time. The engine temperature sensor uses a thermistor sensor to quickly and accurately measure the real-time temperature of the engine. The engine pipeline flow sensor uses the principle of electromagnetic induction to monitor the liquid flow in the engine pipeline. The safety hazard detection unit includes a smoke sensor and multiple gas sensors. The smoke sensor adopts the photoelectric detection principle and is extremely sensitive to changes in smoke concentration in the car. It can promptly issue an alarm when the smoke concentration reaches 0.1%obs / m. The gas sensor detects multiple dangerous gases, and the detection limit of dangerous gases is as low as 1ppm, ensuring timely detection of fire hazards and leakage of dangerous goods.

[0007] According to an automatic unmanned passenger vehicle under safety data conditions provided by the present invention, the environment perception module includes: The passenger identification unit is composed of a high-definition networked camera, an infrared scanner, and an image comparison library in the cloud computing system. The high-definition networked camera has a resolution of no less than 1080P and a frame rate of 30fps, which can clearly capture the facial features and body movements of passengers. The portrait recognition technology uses a deep learning algorithm, and the infrared scanner can assist in detecting the outline and movements of passengers in low-light or dark environments, ensuring the accuracy and comprehensiveness of passenger identification. The baggage inspection unit uses X-ray scanning technology and image recognition algorithms to inspect passengers' luggage. The penetration capability of the X-ray scanning equipment can meet the needs of detecting common metal and non-metal prohibited items, and the image recognition algorithm can quickly and accurately identify suspicious items in the luggage; The carriage monitoring unit uses high-definition cameras distributed in multiple corners of the carriage to achieve all-round real-time monitoring of the carriage environment. The cameras have night vision function and can produce clear images under low-light conditions. The video data is compressed and transmitted using the H.265 encoding format to reduce data traffic and ensure video quality. The monitoring system also has video storage function. The vehicle perimeter monitoring unit is composed of multiple millimeter-wave radars and high-definition cameras installed around the vehicle body. The millimeter-wave radar can accurately detect the distance, speed and angle information of objects around the vehicle body. The detection range is up to 200 meters and the angle resolution is 1°. The high-definition camera is used to assist in identifying the types of surrounding objects. The two work together to provide comprehensive environmental perception information for the vehicle's obstacle avoidance and driving safety.

[0008] According to an automatic unmanned passenger vehicle under safety data conditions provided by the present invention, the safety assurance module includes: The obstacle recognition and warning unit uses laser radar, millimeter-wave radar and camera fusion technology to identify the position and speed information of obstacles. The laser radar is used to build a high-precision three-dimensional model of the vehicle's surrounding environment. The millimeter-wave radar monitors the dynamic information of obstacles in real time. The camera performs image recognition and classification of obstacles. When a potential collision risk is detected, a warning signal is sent to the vehicle control system in advance; The data encryption and transmission unit uses the AES encryption algorithm to encrypt the data transmitted between the vehicle and the cloud computing system. The encryption key length is 256 bits to ensure the security and integrity of the data during transmission. At the same time, it uses 4G / 5G network communication technology to transmit data with the cloud computing system at a high speed and stability. Emergency response unit, which can quickly initiate corresponding emergency measures when an emergency occurs in the vehicle, including but not limited to automatically dialing emergency rescue numbers, activating fire extinguishing systems, and unlocking vehicle doors; The vehicle control protection unit can automatically switch to the backup control system when the vehicle control system is attacked by hackers or fails, ensuring that the vehicle's basic driving and safety functions are not affected. The backup control system has the same core functions as the main control system, and the switching process is seamless and does not affect vehicle driving.

[0009] According to an automatic unmanned passenger vehicle under safety data conditions provided by the present invention, the energy management module includes: The battery management unit is composed of a charge and discharge chip and a power detection chip. The charge and discharge chip adopts intelligent control technology to automatically adjust the charge and discharge current and voltage according to the battery's temperature, power and other status information to prevent the battery from being overcharged or over-discharged and extend the battery life. The battery status detection subunit can monitor the health status of the battery in real time, including but not limited to internal resistance and capacity attenuation information; The charging control unit is responsible for managing the charging process of the solar charging module and the wired charging module. The solar tracking device in the solar charging module adopts dual-axis tracking technology to adjust the angle of the solar charging panel in real time according to the position of the sun, so that the solar charging panel always maintains the best lighting angle. The wired charging module supports both fast charging and slow charging modes; The energy recovery unit converts the vehicle's kinetic energy into electrical energy and stores it in the battery pack through the regenerative braking function of the motor during vehicle deceleration or braking.

[0010] According to the present invention, an automatic unmanned passenger vehicle under safety data conditions also includes an intelligent interaction module: The passenger information display unit is set on multiple display screens in the car, which can display the vehicle's route, arrival information, temperature and humidity in the car, etc. The display screen adopts touch operation, and passengers can query more detailed information through the touch screen, including but not limited to surrounding scenic spot recommendations and transfer information; Voice interaction unit, passengers can interact with the vehicle control system through voice commands, including but not limited to querying destinations, adjusting air conditioning temperature, playing music. The voice recognition system uses an advanced voice recognition engine and supports multiple language recognition. The speech synthesis system can play system response information to passengers in a natural and fluent voice; The remote service unit allows passengers to remotely connect to the vehicle through a mobile phone application. They can reserve seats in advance, check the vehicle's real-time location and estimated arrival time before boarding, and evaluate and provide feedback on the vehicle service after boarding. The remote service platform adopts a cloud computing architecture and has high concurrent processing capabilities, which can handle requests from a large number of passengers at the same time.

[0011] According to the present invention, an automatic unmanned passenger vehicle under safety data conditions also includes a vehicle maintenance management module: The fault diagnosis unit uses data collected by vehicle sensors and vehicle operation history data to predict and diagnose vehicle faults using big data analysis and artificial intelligence algorithms, and can detect potential fault hazards in advance; The maintenance plan generation unit automatically generates a vehicle maintenance plan based on the fault diagnosis results and the vehicle usage, including but not limited to maintenance items, maintenance time, and maintenance location information; The spare parts management unit manages the vehicle parts inventory and monitors the inventory quantity, location, and procurement cycle information of the parts in real time. When the inventory quantity of parts is lower than the warning value, a purchase order is automatically generated to ensure the timely supply of parts required for vehicle maintenance; The maintenance record storage unit records each maintenance information of the vehicle, including maintenance time, maintenance items, replacement parts information, and maintenance personnel information. The maintenance records are stored in the cloud database and can be queried and analyzed by vehicle managers at any time to comprehensively evaluate and optimize the vehicle's maintenance status.

[0012] According to the present invention, an automatic unmanned passenger vehicle under safety data conditions also includes a ride service module: Passenger positioning unit: the vehicle obtains its own position information in real time through the positioning device and uploads the information to the cloud computing system; the passenger uses the mobile phone application to view the position information of the available automatic unmanned passenger vehicles nearby, and the mobile phone application uses the positioning function of the mobile phone itself to determine the current position of the passenger, thereby realizing the position positioning and matching between the passenger and the vehicle; Passenger search unit: When a passenger places a ride request through a mobile phone application, the cloud computing system selects the nearest unmanned passenger vehicle that meets the ride conditions based on the passenger's location information and the distribution of surrounding vehicles. The ride conditions include the availability of seats and the normal status of the vehicle. Then, the cloud computing system sends the passenger's relevant information to the intelligent control system of the selected vehicle, including the ride starting point, destination, and appearance characteristics. The vehicle searches and identifies the passenger at the designated location. Passenger recording unit: after completing registration and login on the mobile application, passengers can enter personal information, including but not limited to name, ID number, contact information, and facial image information for face recognition boarding; before boarding, passengers can select the starting point, destination, and boarding time to make an appointment and record the ride; at the same time, passengers can also set personal preferences in the application, including but not limited to air conditioning temperature preferences and seat preferences. This information will be stored in the cloud computing system together with the passenger's ride record to facilitate personalized services during subsequent rides; The vehicle search unit, after receiving the passenger's boarding request and related information sent by the cloud computing system, the vehicle goes to the passenger's location according to the planned optimal route; during the driving process, the vehicle perceives the surrounding environment in real time through the monitoring equipment around the body, avoids obstacles, and arrives at the passenger's designated boarding location safely and efficiently; after the vehicle arrives at the boarding location, it prompts the passenger to board the vehicle through voice interaction, and re-checks the passenger's identity information to ensure the safety and accuracy of the ride.

[0013] Compared with the prior art, the beneficial effects of this application are: This application uses high-precision multi-source data acquisition and environmental perception systems, and multiple sensors work together to accurately obtain vehicle status and surrounding environment information, such as laser radar, millimeter-wave radar and high-definition camera fusion perception technology, accurately identify obstacles in various complex environments, warn in advance and take effective obstacle avoidance measures to reduce collision risks; This application uses a safety assurance module to quickly switch to a backup control system in the event of a hacker attack or system failure, ensuring that the basic functions of the vehicle are normal, and the emergency response unit can promptly initiate rescue measures in an emergency to protect passenger safety in all aspects; This application takes into account the impact of passenger volume in automatic driving decisions based on physical models, reasonably adjusts driving speed and obstacle avoidance distance, improves vehicle handling stability, reduces energy waste, and ensures passenger comfort; In the energy management module of this application, the dual-axis tracking technology of the solar charging module improves the efficiency of solar power generation, the wired charging module has multiple modes for flexible selection, and the regenerative braking energy recovery function effectively improves energy utilization and extends the vehicle's cruising range; The intelligent interactive module of this application provides rich and convenient services. The passenger information display unit and voice interaction unit meet diverse needs. The remote service unit facilitates passengers to operate remotely, improving the convenience and satisfaction of riding. The cabin environment of this application is comfortable, the data collection and analysis module accurately controls the air conditioning and other equipment, and the seat belt alarm and detection device ensure the safety of passengers, creating a comfortable and safe riding environment; This application liberates bus drivers to a certain extent, eliminates the personal and social hazards caused by manual fatigue driving and overloading and speeding long-distance transportation, and improves the transportation safety index.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the process structure of an automatic unmanned passenger vehicle under safety data conditions provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention. Example

[0018] The embodiment of the present invention provides an automatic unmanned passenger vehicle under safety data conditions, please refer to Figure 1 , including a vehicle body structure and an intelligent control system; the vehicle body structure includes a vehicle chassis and a vehicle body, the vehicle chassis is provided with basic components for supporting and driving the vehicle, and the vehicle body is provided with a plurality of human seats for passengers to sit on; the intelligent control system includes: A driving module, used for driving the vehicle body; The data acquisition and analysis module is used to collect multi-source data related to vehicle operation, including collecting the temperature and humidity information in the passenger compartment of the passenger vehicle, the passenger status information of the human seat, the fuel and power information, the vehicle tire pressure information, the engine operation parameter information, the fire hazard information, and the dangerous goods detection information through the sensor unit, and transmit these data to the cloud computing system, and perform comprehensive analysis and calculation processing based on the data. According to the analysis results, the air conditioning system is controlled to adjust the compartment environment, the vehicle is directed to go to the service area for energy replenishment or maintenance operations, and an alarm signal is issued in dangerous conditions and uploaded to the cloud computing system; The environmental perception module uses the high-definition networked camera, infrared scanner and image comparison library in the cloud computing system installed at the door of the passenger car, and uses the portrait recognition technology in the high-definition networked camera to intelligently identify and take photos to record the facial images and body movement images of passengers getting on and off the car, and judge whether they match the passenger information uploaded to the cloud computing system in advance, whether there is a violent incident and whether the corresponding passengers get on or off the car at the scheduled station. At the same time, it scans and identifies the luggage information carried by the passengers for security inspection of prohibited items and uploads it to the cloud computing system to form a database. Seat belt alarms and detection devices are set on the human seats. The seat belt alarm prompts an alarm when the passenger does not fasten the seat belt. The detection device detects whether the passenger is safely seated or leaves the seat. The body is equipped with a luggage rack or luggage compartment and an emergency alarm button. The emergency alarm button is connected to the local public security alarm system nearby through the cloud computing system and is preferably set next to each human seat. The monitoring system monitors the environment inside the car and around the vehicle in real time and uploads it to the cloud computing system; The safety assurance module is used to identify the location of obstacles and the vehicle's own speed. When it is judged that the vehicle will hit an obstacle, the ECU in the drive module controls the vehicle, and sends the judgment result to the cloud computing system and receives the feedback command from the cloud computing system to control the vehicle again through the drive module. The image, voiceprint and fingerprint processors enable the image information captured by the camera module to be uploaded to the data processing module after data filtering. The voiceprint information collected by the microphone array is transmitted to the data module after sound data processing. After data analysis, instructions are issued to the execution terminal. The drive module starts, stops or avoids obstacles, and the electronic locks are unlocked or closed. The unmanned passenger vehicle is also equipped with an intelligent mechanical arm for automatically carrying luggage or automatically sorting and transporting goods to smart small unmanned transport vehicles, as well as an SOS emergency circuit module. The monitoring and detection system cooperates with the sensor module and the intelligent recognition system to comprehensively monitor and detect vehicle information to ensure the safe operation of the vehicle. The vehicle is also equipped with a positioning device for real-time positioning.

[0019] An automatic driving decision module, which is connected to the environment perception module and the safety assurance module, and is used to determine the ideal driving speed and ideal obstacle avoidance distance of the vehicle according to the vehicle passenger capacity to ensure driving safety and operation efficiency, realize the navigation driving function through a preset route, and at the same time send the ideal driving speed and ideal obstacle avoidance distance to the safety assurance module to adjust the vehicle driving speed and obstacle avoidance strategy; The energy management module is composed of a battery pack, a charging unit, a charging and discharging chip, and a power detection chip. The charging unit includes a solar charging module and a wired charging module. The solar charging unit has a retractable solar charging panel arranged around the body and on the upper end surface. The power detection chip includes a CPU, a voltage monitoring subunit, a current monitoring subunit, a battery status detection subunit and a bus communication subunit. A solar power generation unit or a wind power generation unit is also provided on the upper end of the body to connect the battery pack for charging, and a QR code scanning identification area is set to facilitate passengers to scan the code to place orders and pay.

[0020] Among them, in the automatic driving decision module, the calculation process of the ideal driving speed and the ideal obstacle avoidance distance includes: Get the vehicle's unloaded mass M0; Determine the number of passengers n based on the number of boarding and alighting determined in the environment perception module; The ideal average mass m of a single passenger is set in advance; Calculate the current total mass M of the passenger vehicle, M=M0+nm; The ideal driving speed v is calculated by the ideal speed model, and the ideal speed model is: , Where P is the maximum power of the vehicle engine, u r is the rolling resistance coefficient of the vehicle, C d is the air resistance coefficient, A is the frontal area of ​​the vehicle, p is the air density, and g is the acceleration due to gravity; The ideal obstacle avoidance distance d is calculated by the ideal distance model, and the ideal distance model is: , Among them, d is the ideal obstacle avoidance distance, which represents the minimum braking distance under the current passenger state; v is the ideal driving speed, M is the current total mass of the passenger vehicle, and F b It is the maximum braking force when the vehicle brakes; Output the ideal driving speed v and ideal obstacle avoidance distance d of the passenger vehicle under the current passenger loading state.

[0021] The data collection and analysis module includes: The temperature and humidity collection unit uses high-precision temperature and humidity sensors installed in multiple key locations in the car to ensure accurate collection of temperature and humidity data in different areas of the car, providing an accurate basis for the intelligent control of the air-conditioning system; The seat status monitoring unit is composed of an array of pressure sensors distributed inside each human seat. It can accurately sense the pressure distribution and changes on the seat, so as to accurately determine whether there are passengers sitting and the changes in the passenger's sitting posture; The vehicle energy monitoring unit includes a fuel level sensor and a power sensor. The fuel level sensor uses the ultrasonic measurement principle to monitor the fuel level in the fuel tank in real time. The power sensor uses the coulomb counting method to accurately measure the power of the battery pack. The vehicle health monitoring unit is composed of multiple sensors, including tire pressure sensor, engine temperature sensor, engine pipeline flow sensor, etc. The tire pressure sensor uses wireless transmission technology to transmit tire pressure data to the data acquisition and analysis module in real time. The engine temperature sensor uses a thermistor sensor to quickly and accurately measure the real-time temperature of the engine. The engine pipeline flow sensor uses the principle of electromagnetic induction to monitor the liquid flow in the engine pipeline. The safety hazard detection unit includes a smoke sensor and multiple gas sensors. The smoke sensor adopts the photoelectric detection principle and is extremely sensitive to changes in smoke concentration in the car. It can promptly issue an alarm when the smoke concentration reaches 0.1%obs / m. The gas sensor detects multiple dangerous gases, and the detection limit of dangerous gases is as low as 1ppm, ensuring timely detection of fire hazards and leakage of dangerous goods.

[0022] The environment perception module comprises: The passenger identification unit is composed of a high-definition networked camera, an infrared scanner, and an image comparison library in the cloud computing system. The high-definition networked camera has a resolution of no less than 1080P and a frame rate of 30fps, which can clearly capture the facial features and body movements of passengers. The portrait recognition technology uses a deep learning algorithm, and the infrared scanner can assist in detecting the outline and movements of passengers in low-light or dark environments, ensuring the accuracy and comprehensiveness of passenger identification. The baggage inspection unit uses X-ray scanning technology and image recognition algorithms to inspect passengers' luggage. The penetration capability of the X-ray scanning equipment can meet the needs of detecting common metal and non-metal prohibited items, and the image recognition algorithm can quickly and accurately identify suspicious items in the luggage; The carriage monitoring unit uses high-definition cameras distributed in multiple corners of the carriage to achieve all-round real-time monitoring of the carriage environment. The cameras have night vision function and can produce clear images under low-light conditions. The video data is compressed and transmitted using the H.265 encoding format to reduce data traffic and ensure video quality. The monitoring system also has video storage function. The vehicle perimeter monitoring unit is composed of multiple millimeter-wave radars and high-definition cameras installed around the vehicle body. The millimeter-wave radar can accurately detect the distance, speed and angle information of objects around the vehicle body. The detection range is up to 200 meters and the angle resolution is 1°. The high-definition camera is used to assist in identifying the types of surrounding objects. The two work together to provide comprehensive environmental perception information for the vehicle's obstacle avoidance and driving safety.

[0023] It should be noted that, for safety issues involved in the transportation process, such as anti-theft, waterproof, fireproof, anti-overturning, anti-leakage, lightning protection, and anti-electricity, please refer to [Chinese Invention] CN201120389056.2; the disclosed anti-theft alarm system and the car using the anti-theft alarm system; you can also refer to [Chinese Invention Patent] Patent No.: 201510883169.0, which discloses a new anti-overturning anti-roller device. The communication module described in this technical solution can be carried out in the form of 4G communication, which is not only mature in technology but also fast in transmission speed. At the same time, by giving each automatic transport vehicle a 4G card, it is equivalent to giving each automatic transport vehicle an independent identity, so that the cloud computing system and terminal equipment can better control the unmanned passenger vehicle. The data processing module described in this technical solution is preferably a programmable controller, preferably using a single-chip microcomputer programming control or S3C2440 chip control.

[0024] The security module comprises: The obstacle recognition and warning unit uses laser radar, millimeter-wave radar and camera fusion technology to identify the position and speed information of obstacles. The laser radar is used to build a high-precision three-dimensional model of the vehicle's surrounding environment. The millimeter-wave radar monitors the dynamic information of obstacles in real time. The camera performs image recognition and classification of obstacles. When a potential collision risk is detected, a warning signal is sent to the vehicle control system in advance; By installing a camera device on the chassis of the vehicle, taking pictures of the road ahead, identifying the traffic lights and zebra crossings in the picture, and calculating the real-time spatial distance between the vehicle and the zebra crossing ahead based on the pixel value analysis of the picture, and identifying the status of the traffic lights, the spatial distance value and the status information of the traffic lights are sent to the host; as the vehicle continues to move forward, the distance between the vehicle and the zebra crossing ahead is getting closer and closer, and the host continuously obtains the continuously changing real-time spatial distance value, and at the same time judges whether the vehicle will run a red light. If it will run a red light, the ECU will limit the speed or lock the vehicle, and prevent and stop the behavior of the automatic transport vehicle running a red light, which is conducive to maintaining traffic order. The camera device described in this technical solution can obtain the navigation pattern information and real-time road condition information by using a lens and a charge-coupled device (CCD), or by using a lens and a complementary metal oxide semiconductor (CMOS) to obtain the navigation pattern information.

[0025] It should be noted that the unmanned passenger vehicle of this embodiment is also used for driving on highways, performing lane identification, vehicle speed matching, and traffic sign identification and compliance. For example, when driving on highways, the smart unmanned passenger vehicle of this embodiment will remain on the outermost road, and the maximum driving speed is controlled at 80km / h or 100km / h according to the road speed limit.

[0026] Navigation pattern information can also be obtained in two different ways, such as through a lens and a charge-coupled device (CCD), and optionally through a lens and a complementary metal-oxide semiconductor (CMOS). Through these sensors, the vehicle navigation device can capture navigation pattern information.

[0027] Preferably, the data processing module is also connected to the ECU. If the data processing module determines that the vehicle will run a red light, the vehicle is controlled by the ECU. The data processing module is also connected to a cloud computing system. The data processing module can send the judgment result of whether the vehicle will run a red light to the cloud computing system. The cloud computing system can feedback command instructions to the data processing module, and control the vehicle by connecting the data processing module to the ECU.

[0028] This technical solution specifically discloses the role of an ECU in the obstacle avoidance process. The ECU described in this technical solution refers to an ECU (Electronic Control Unit), also known as a "driving computer" or "on-board computer". In terms of usage, it is a microcomputer controller for automobiles. Like ordinary computers, it consists of a microprocessor (CPU), memory (ROM, RAM), input / output interface (I / O), analog-to-digital converter (A / D), and large-scale integrated circuits such as shaping and driving. To put it simply, "ECU is the brain of the car."

[0029] The technical solution of the obstacle recognition function is used to identify pedestrians or other vehicles or other obstacles during driving. The information fed back by the detection device is captured by the information between the roadblock information storage device, and then the obstacle avoidance method and the route after obstacle avoidance are determined according to the pre-set parameter values ​​through the comparator. The comparator described in this technical solution is an electronic component that outputs different voltage results at the output end by comparing the current or voltage at the two input ends. The comparator described in this technical solution can refer to [Chinese Invention] CN201521020832.6, which discloses a vehicle dynamic speed limit system and vehicle. As for the ultrasonic transmitting element, trigger circuit, ultrasonic receiving element and front-end amplifier circuit described in this technical solution, they all belong to the prior art and will not be elaborated here.

[0030] The data encryption and transmission unit uses the AES encryption algorithm to encrypt the data transmitted between the vehicle and the cloud computing system. The encryption key length is 256 bits to ensure the security and integrity of the data during transmission. At the same time, it uses 4G / 5G network communication technology to transmit data with the cloud computing system at a high speed and stability. Emergency response unit, which can quickly initiate corresponding emergency measures when an emergency occurs in the vehicle, including but not limited to automatically dialing emergency rescue numbers, activating fire extinguishing systems, and unlocking vehicle doors; The vehicle control protection unit can automatically switch to the backup control system when the vehicle control system is attacked by hackers or fails, ensuring that the vehicle's basic driving and safety functions are not affected. The backup control system has the same core functions as the main control system, and the switching process is seamless and does not affect vehicle driving.

[0031] The energy management module comprises: The battery management unit is composed of a charge and discharge chip and a power detection chip. The charge and discharge chip adopts intelligent control technology to automatically adjust the charge and discharge current and voltage according to the battery's temperature, power and other status information to prevent the battery from being overcharged or over-discharged and extend the battery life. The battery status detection subunit can monitor the health status of the battery in real time, including but not limited to internal resistance and capacity attenuation information; The battery detection chip may be a chip of model: BQ27510. The bus communication unit described in the technical solution may refer to the lithium battery power management system for electric vehicles disclosed in [Chinese Invention] CN201220020977.6. The battery status detection unit described in the technical solution may refer to a battery intelligent management system disclosed in [Chinese Invention] CN201020199399.8.

[0032] The charging control unit is responsible for managing the charging process of the solar charging module and the wired charging module. The solar tracking device in the solar charging module adopts dual-axis tracking technology to adjust the angle of the solar charging panel in real time according to the position of the sun, so that the solar charging panel always maintains the best lighting angle. The wired charging module supports both fast charging and slow charging modes; The energy recovery unit converts the vehicle's kinetic energy into electrical energy and stores it in the battery pack through the regenerative braking function of the motor during vehicle deceleration or braking.

[0033] Also includes intelligent interaction modules: The passenger information display unit is set on multiple display screens in the car, which can display the vehicle's route, arrival information, temperature and humidity in the car, etc. The display screen adopts touch operation, and passengers can query more detailed information through the touch screen, including but not limited to surrounding scenic spot recommendations and transfer information; Voice interaction unit, passengers can interact with the vehicle control system through voice commands, including but not limited to querying destinations, adjusting air conditioning temperature, playing music. The voice recognition system uses an advanced voice recognition engine and supports multiple language recognition. The speech synthesis system can play system response information to passengers in a natural and fluent voice; The remote service unit allows passengers to remotely connect to the vehicle through a mobile phone application. They can reserve seats in advance, check the vehicle's real-time location and estimated arrival time before boarding, and evaluate and provide feedback on the vehicle service after boarding. The remote service platform adopts a cloud computing architecture and has high concurrent processing capabilities, which can handle requests from a large number of passengers at the same time.

[0034] In order to further optimize the above embodiment, a ride service module is also included: Passenger positioning unit: the vehicle obtains its own position information in real time through the positioning device and uploads the information to the cloud computing system; the passenger uses the mobile phone application to view the position information of the available automatic unmanned passenger vehicles nearby, and the mobile phone application uses the positioning function of the mobile phone itself to determine the current position of the passenger, thereby realizing the position positioning and matching between the passenger and the vehicle; Passenger search unit: When a passenger places a ride request through a mobile phone application, the cloud computing system selects the nearest unmanned passenger vehicle that meets the ride conditions based on the passenger's location information and the distribution of surrounding vehicles. The ride conditions include the availability of seats and the normal status of the vehicle. Then, the cloud computing system sends the passenger's relevant information to the intelligent control system of the selected vehicle, including the ride starting point, destination, and appearance characteristics. The vehicle searches and identifies the passenger at the designated location. Passenger recording unit: after completing registration and login on the mobile application, passengers can enter personal information, including but not limited to name, ID number, contact information, and facial image information for face recognition boarding; before boarding, passengers can select the starting point, destination, and boarding time to make an appointment and record the ride; at the same time, passengers can also set personal preferences in the application, including but not limited to air conditioning temperature preferences and seat preferences. This information will be stored in the cloud computing system together with the passenger's ride record to facilitate personalized services during subsequent rides; The vehicle search unit, after receiving the passenger's boarding request and related information sent by the cloud computing system, the vehicle goes to the passenger's location according to the planned optimal route; during the driving process, the vehicle perceives the surrounding environment in real time through the monitoring equipment around the body, avoids obstacles, and arrives at the passenger's designated boarding location safely and efficiently; after the vehicle arrives at the boarding location, it prompts the passenger to board the vehicle through voice interaction, and re-checks the passenger's identity information to ensure the safety and accuracy of the ride.

[0035] It should be noted that in actual operation, when a passenger opens the mobile phone application, the application automatically obtains the passenger's current location and displays nearby automatic unmanned passenger vehicles. After the passenger selects a suitable vehicle and submits a ride request, the cloud computing system quickly processes the request, selects the vehicle and sends instructions. After receiving the instruction, the vehicle follows the planned route to the passenger's location, constantly sensing the environment and adjusting the driving status through various sensors and modules along the way.

[0036] When passengers get on the bus, high-definition networked cameras and infrared scanners identify and check passengers, seat belt alarms remind passengers to fasten their seat belts, and detection devices confirm that passengers are safely seated. During the vehicle's driving, the data collection and analysis module continuously monitors various vehicle data, the environmental perception module monitors the environment inside and outside the car in real time, the safety assurance module ensures driving safety, the intelligent interaction module provides information and services to passengers, and the vehicle maintenance and management module is ready to respond to possible failures at any time.

[0037] After arriving at the destination, passengers get off the vehicle, and the vehicle continues to wait for the next ride or goes to other demand areas according to the dispatch of the cloud computing system. The entire process realizes a highly automated, intelligent and safe operation mode, providing passengers with a convenient, comfortable and safe travel experience, while also improving the efficiency and management level of transportation.

[0038] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic unmanned passenger vehicle under safety data conditions, characterized in that: include: Vehicle structure and intelligent control system; The vehicle structure comprises a chassis and a vehicle body, the chassis is provided with basic components for supporting and driving the vehicle, and the vehicle body is provided with a plurality of seats for passengers to sit on; The intelligent control system comprises: A driving module, used for driving the vehicle body; The data acquisition and analysis module is used to collect multi-source data related to vehicle operation, including collecting the temperature and humidity information in the passenger compartment of the passenger vehicle, the passenger status information of the human seat, the fuel and power information, the vehicle tire pressure information, the engine operation parameter information, the fire hazard information, and the dangerous goods detection information through the sensor unit, and transmit these data to the cloud computing system, and perform comprehensive analysis and calculation processing based on the data. According to the analysis results, the air conditioning system is controlled to adjust the compartment environment, the vehicle is directed to go to the service area for energy replenishment or maintenance operations, and an alarm signal is issued in dangerous conditions and uploaded to the cloud computing system; The environmental perception module uses the high-definition networked camera, infrared scanner and image comparison library in the cloud computing system installed at the door of the passenger car, and uses the portrait recognition technology in the high-definition networked camera to intelligently identify and take photos to record the facial images and body movement images of passengers getting on and off the car, and judge whether they match the passenger information uploaded to the cloud computing system in advance, whether there is a violent incident and whether the corresponding passengers get on or off the car at the scheduled station. At the same time, it scans and identifies the luggage information carried by the passengers for security inspection of prohibited items and uploads it to the cloud computing system to form a database. Seat belt alarms and detection devices are set on the human seats. The seat belt alarm prompts an alarm when the passenger does not fasten the seat belt. The detection device detects whether the passenger is safely seated or leaves the seat. The body is equipped with a luggage rack or luggage compartment and an emergency alarm button. The emergency alarm button is connected to the local public security alarm system nearby through the cloud computing system and is preferably set next to each human seat. The monitoring system monitors the environment inside the car and around the vehicle in real time and uploads it to the cloud computing system; The safety assurance module is used to identify the location of obstacles and the vehicle's own speed. When it is determined that the vehicle will hit an obstacle, the ECU in the drive module controls the vehicle, and at the same time sends the judgment result to the cloud computing system and receives the feedback command from the cloud computing system to control the vehicle again through the drive module. The image, voiceprint and fingerprint processors enable the image information captured by the camera module to be uploaded to the data processing module after data filtering. The voiceprint information collected by the microphone array is transmitted to the data module after sound data processing. After data analysis, instructions are issued to the execution terminal. The drive module starts, stops or avoids obstacles, and the electronic locks are unlocked or closed. The unmanned passenger vehicle is also equipped with an intelligent mechanical arm for automatically carrying luggage or automatically sorting and transporting goods to smart small unmanned transport vehicles, as well as an SOS emergency circuit module. The monitoring and detection system cooperates with the sensor module and the intelligent recognition system to comprehensively monitor and detect vehicle information to ensure the safe operation of the vehicle. The vehicle is also equipped with a positioning device for real-time positioning. An automatic driving decision module, which is connected to the environment perception module and the safety assurance module, and is used to determine the ideal driving speed and ideal obstacle avoidance distance of the vehicle according to the vehicle passenger capacity to ensure driving safety and operation efficiency, realize the navigation driving function through a preset route, and at the same time send the ideal driving speed and ideal obstacle avoidance distance to the safety assurance module to adjust the vehicle driving speed and obstacle avoidance strategy; The energy management module is composed of a battery pack, a charging unit, a charging and discharging chip, and a power detection chip. The charging unit includes a solar charging module and a wired charging module. The solar charging unit has a retractable solar charging panel arranged around the body and on the upper end surface. The power detection chip includes a CPU, a voltage monitoring subunit, a current monitoring subunit, a battery status detection subunit and a bus communication subunit. A solar power generation unit or a wind power generation unit is also provided on the upper end of the body to connect the battery pack for charging, and a QR code scanning identification area is set to facilitate passengers to scan the code to place orders and pay.

2. The automatic unmanned passenger vehicle under safety data conditions according to claim 1 is characterized in that: In the automatic driving decision module, the calculation process of the ideal driving speed and the ideal obstacle avoidance distance includes: Get the vehicle's unloaded mass M0; Determine the number of passengers n based on the number of boarding and alighting determined in the environment perception module; The ideal average mass m of a single passenger is set in advance; Calculate the current total mass M of the passenger vehicle, M=M0+nm; The ideal driving speed v is calculated by the ideal speed model, and the ideal speed model is: , Where P is the maximum power of the vehicle engine, u r is the rolling resistance coefficient of the vehicle, C d is the air resistance coefficient, A is the frontal area of ​​the vehicle, p is the air density, and g is the acceleration due to gravity; The ideal obstacle avoidance distance d is calculated by the ideal distance model, and the ideal distance model is: , Among them, d is the ideal obstacle avoidance distance, which represents the minimum braking distance under the current passenger state; v is the ideal driving speed, M is the current total mass of the passenger vehicle, and F b It is the maximum braking force when the vehicle brakes; Output the ideal driving speed v and ideal obstacle avoidance distance d of the passenger vehicle under the current passenger loading state.

3. The automatic unmanned passenger vehicle under safety data conditions according to claim 1, characterized in that: The data acquisition and analysis module includes: The temperature and humidity collection unit uses high-precision temperature and humidity sensors installed in multiple key locations in the car to ensure accurate collection of temperature and humidity data in different areas of the car, providing an accurate basis for the intelligent control of the air-conditioning system; The seat status monitoring unit is composed of an array of pressure sensors distributed inside each human seat. It can accurately sense the pressure distribution and changes on the seat, so as to accurately determine whether there are passengers sitting and the changes in the passenger's sitting posture; The vehicle energy monitoring unit includes a fuel level sensor and a power sensor. The fuel level sensor uses the ultrasonic measurement principle to monitor the fuel level in the fuel tank in real time. The power sensor uses the coulomb counting method to accurately measure the power of the battery pack. The vehicle health monitoring unit is composed of multiple sensors, including tire pressure sensor, engine temperature sensor, engine pipeline flow sensor, etc. The tire pressure sensor uses wireless transmission technology to transmit tire pressure data to the data acquisition and analysis module in real time. The engine temperature sensor uses a thermistor sensor to quickly and accurately measure the real-time temperature of the engine. The engine pipeline flow sensor uses the principle of electromagnetic induction to monitor the liquid flow in the engine pipeline. The safety hazard detection unit includes a smoke sensor and multiple gas sensors. The smoke sensor adopts the photoelectric detection principle and is extremely sensitive to changes in smoke concentration in the car. It can promptly issue an alarm when the smoke concentration reaches 0.1%obs / m. The gas sensor detects multiple dangerous gases, and the detection limit of dangerous gases is as low as 1ppm, ensuring timely detection of fire hazards and leakage of dangerous goods.

4. The automatic unmanned passenger vehicle under safety data conditions according to claim 1, characterized in that: The environment perception module comprises: The passenger identification unit is composed of a high-definition networked camera, an infrared scanner, and an image comparison library in the cloud computing system. The high-definition networked camera has a resolution of no less than 1080P and a frame rate of 30fps, which can clearly capture the facial features and body movements of passengers. The portrait recognition technology uses a deep learning algorithm, and the infrared scanner can assist in detecting the outline and movements of passengers in low-light or dark environments, ensuring the accuracy and comprehensiveness of passenger identification. The baggage inspection unit uses X-ray scanning technology and image recognition algorithms to inspect passengers' luggage. The penetration capability of the X-ray scanning equipment can meet the needs of detecting common metal and non-metal prohibited items, and the image recognition algorithm can quickly and accurately identify suspicious items in the luggage; The carriage monitoring unit uses high-definition cameras distributed in multiple corners of the carriage to achieve all-round real-time monitoring of the carriage environment. The cameras have night vision function and can produce clear images under low-light conditions. The video data is compressed and transmitted using the H.265 encoding format to reduce data traffic and ensure video quality. The monitoring system also has video storage function. The vehicle perimeter monitoring unit is composed of multiple millimeter-wave radars and high-definition cameras installed around the vehicle body. The millimeter-wave radar can accurately detect the distance, speed and angle information of objects around the vehicle body. The detection range is up to 200 meters and the angle resolution is 1°. The high-definition camera is used to assist in identifying the types of surrounding objects. The two work together to provide comprehensive environmental perception information for the vehicle's obstacle avoidance and driving safety.

5. The automatic unmanned passenger vehicle under safety data conditions according to claim 1 is characterized in that: The security module comprises: The obstacle recognition and warning unit uses laser radar, millimeter-wave radar and camera fusion technology to identify the position and speed information of obstacles. The laser radar is used to build a high-precision three-dimensional model of the vehicle's surrounding environment. The millimeter-wave radar monitors the dynamic information of obstacles in real time. The camera performs image recognition and classification of obstacles. When a potential collision risk is detected, a warning signal is sent to the vehicle control system in advance; The data encryption and transmission unit uses the AES encryption algorithm to encrypt the data transmitted between the vehicle and the cloud computing system. The encryption key length is 256 bits to ensure the security and integrity of the data during transmission. At the same time, it uses 4G / 5G network communication technology to transmit data with the cloud computing system at a high speed and stability. Emergency response unit, which can quickly initiate corresponding emergency measures when an emergency occurs in the vehicle, including but not limited to automatically dialing emergency rescue numbers, activating fire extinguishing systems, and unlocking vehicle doors; The vehicle control protection unit can automatically switch to the backup control system when the vehicle control system is attacked by hackers or fails, ensuring that the vehicle's basic driving and safety functions are not affected. The backup control system has the same core functions as the main control system, and the switching process is seamless and does not affect vehicle driving.

6. The automatic unmanned passenger vehicle under safety data conditions according to claim 1, characterized in that: The energy management module comprises: The battery management unit is composed of a charge and discharge chip and a power detection chip. The charge and discharge chip adopts intelligent control technology to automatically adjust the charge and discharge current and voltage according to the battery's temperature, power and other status information to prevent the battery from being overcharged or over-discharged and extend the battery life. The battery status detection subunit can monitor the health status of the battery in real time, including but not limited to internal resistance and capacity attenuation information; The charging control unit is responsible for managing the charging process of the solar charging module and the wired charging module. The solar tracking device in the solar charging module adopts dual-axis tracking technology to adjust the angle of the solar charging panel in real time according to the position of the sun, so that the solar charging panel always maintains the best lighting angle. The wired charging module supports both fast charging and slow charging modes; The energy recovery unit converts the vehicle's kinetic energy into electrical energy and stores it in the battery pack through the regenerative braking function of the motor during vehicle deceleration or braking.

7. The automatic unmanned passenger vehicle under safety data conditions according to claim 1 is characterized in that: Also includes intelligent interaction modules: The passenger information display unit is set on multiple display screens in the car, which can display the vehicle's route, arrival information, temperature and humidity in the car, etc. The display screen adopts touch operation, and passengers can query more detailed information through the touch screen, including but not limited to surrounding scenic spot recommendations and transfer information; Voice interaction unit, passengers can interact with the vehicle control system through voice commands, including but not limited to querying destinations, adjusting air conditioning temperature, playing music. The voice recognition system uses an advanced voice recognition engine and supports multiple language recognition. The speech synthesis system can play system response information to passengers in a natural and fluent voice; The remote service unit allows passengers to remotely connect to the vehicle through a mobile phone application. They can reserve seats in advance, check the vehicle's real-time location and estimated arrival time before boarding, and evaluate and provide feedback on the vehicle service after boarding. The remote service platform adopts a cloud computing architecture and has high concurrent processing capabilities, which can handle requests from a large number of passengers at the same time.

8. The automatic unmanned passenger vehicle under safety data conditions according to claim 1, characterized in that: Also includes vehicle maintenance management module: The fault diagnosis unit uses data collected by vehicle sensors and vehicle operation history data to predict and diagnose vehicle faults using big data analysis and artificial intelligence algorithms, and can detect potential fault hazards in advance; The maintenance plan generation unit automatically generates a vehicle maintenance plan based on the fault diagnosis results and the vehicle usage, including but not limited to maintenance items, maintenance time, and maintenance location information; The spare parts management unit manages the vehicle parts inventory and monitors the inventory quantity, location, and procurement cycle information of the parts in real time. When the inventory quantity of parts is lower than the warning value, a purchase order is automatically generated to ensure the timely supply of parts required for vehicle maintenance; The maintenance record storage unit records each maintenance information of the vehicle, including maintenance time, maintenance items, replacement parts information, and maintenance personnel information. The maintenance records are stored in the cloud database and can be queried and analyzed by vehicle managers at any time to comprehensively evaluate and optimize the vehicle's maintenance status.

9. The automatic unmanned passenger vehicle under safety data conditions according to claim 1, characterized in that: Also includes ride-hailing service module: Passenger positioning unit: the vehicle obtains its own position information in real time through the positioning device and uploads the information to the cloud computing system; the passenger uses the mobile phone application to view the position information of the available automatic unmanned passenger vehicles nearby, and the mobile phone application uses the positioning function of the mobile phone itself to determine the current position of the passenger, thereby realizing the position positioning and matching between the passenger and the vehicle; Find the passenger unit. When a passenger places a ride request through a mobile phone application, the cloud computing system selects the nearest unmanned passenger vehicle that meets the ride conditions based on the passenger's location information and the distribution of surrounding vehicles. The ride conditions include the availability of seats and the normal status of the vehicle. Then, the cloud computing system sends the passenger's relevant information to the intelligent control system of the selected vehicle, including the ride starting point, destination, and appearance characteristics. The vehicle searches for and identifies the passenger at a designated location; Passenger recording unit: after completing registration and login on the mobile application, passengers can enter personal information, including but not limited to name, ID number, contact information, and facial image information for face recognition boarding; before boarding, passengers can select the starting point, destination, and boarding time to make an appointment to record the ride; At the same time, passengers can also set their personal preferences in the application, including but not limited to air conditioning temperature preferences and seat preferences. This information will be stored in the cloud computing system together with the passenger's ride record to facilitate personalized services in subsequent rides. The vehicle search unit, after receiving the passenger's ride request and related information sent by the cloud computing system, goes to the passenger's location according to the planned optimal path; During driving, the vehicle uses monitoring equipment around the body to perceive the surrounding environment in real time, avoid obstacles, and arrive at the passenger's designated boarding location safely and efficiently; after the vehicle arrives at the boarding location, it prompts the passengers to board the vehicle through voice interaction and verifies the passenger's identity information again to ensure the safety and accuracy of the ride.

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