Vehicle drive control system and method based on Internet of Things

Abstract

The present invention is a vehicle drive control system based on the Internet of Things, relating to the field of drive control technology; it comprises a data acquisition module, a data processing module, a drive control module and an adjustment module; it collects driving information data of an unmanned vehicle when driving on a curved slope in real time, processes the driving information data, obtains a safe direction driving data packet and an abnormal direction driving data packet of the vehicle when driving on the curved slope according to the processing result, controls the driving speed and driving angle of the unmanned vehicle when driving on the curved slope according to the safe direction data packet and the abnormal direction driving data packet, generates a drive control data packet, generates a driving alarm signal according to the drive control data packet, adjusts the driving information data of the unmanned vehicle when driving on the curved slope according to the drive alarm signal, and adjusts the direction and speed of the unmanned vehicle to drive safely on the curved slope.

Description

Technical Field

[0001] The present invention relates to the field of drive control technology, and in particular to a vehicle drive control system and method based on the Internet of Things. Background Art

[0002] The electric vehicle drive control system is the core subsystem of the electric vehicle, mainly including the power battery, drive motor and drive controller. Its main function is to ensure the normal driving of the electric vehicle, which is crucial;

[0003] In the prior art, when an unmanned vehicle is traveling uphill or downhill on a curved slope, it is impossible to predict the safe driving direction of the uphill or downhill slope, and thus it is impossible to control the driving speed corresponding to the safe driving direction of the uphill or downhill slope. It is impossible to adjust the safe driving direction and the corresponding driving speed of the unmanned vehicle on the curved slope, resulting in the unmanned vehicle being out of control when traveling uphill or downhill on the curved slope, resulting in driving hazards. Therefore, a vehicle drive control system and a method based on the Internet of Things are provided. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a vehicle drive control system and method based on the Internet of Things;

[0005] The object of the present invention can be achieved through the following technical solutions: A vehicle drive control system based on the Internet of Things, comprising a control terminal, wherein the control terminal is connected to a data acquisition module, a data processing module, a drive control module, and an adjustment module;

[0006] The data acquisition module is used to collect driving information data of the unmanned vehicle in real time when driving on a curved slope;

[0007] The data processing module is used to process the driving information data and obtain a safe direction driving data packet and an abnormal direction driving data packet when the vehicle is driving on a curved slope according to the processing results;

[0008] The drive control module includes a first drive control unit, a second drive control unit, and a third drive control unit, configured to control the driving speed and driving angle of the unmanned vehicle traveling on a curved slope according to the safe direction data packet and the abnormal direction driving data packet, and to generate a drive control data packet, and generate a driving alarm signal according to the drive control data packet;

[0009] The adjustment module is used to adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal.

[0010] Furthermore, the process of the data acquisition module collecting driving information data of the unmanned vehicle in real time when driving on a curved slope includes:

[0011] The driving information data includes driving speed, driving angle and driving position;

[0012] A small slope sensor is installed on each tire of the unmanned vehicle to collect the angle between the curved slope and the horizontal plane in real time, which is marked as the slope angle θ. At the same time, the speed and position of the unmanned vehicle are collected and marked respectively.

[0013] Furthermore, the process of the data processing module processing the driving information data includes:

[0014] Generate the surface slope as an xy curve function, with the driving position of the unmanned vehicle as a point on the curve function, recorded as the driving point. The curve function uses the driving point as the real-time origin, the horizontal plane as the x-axis, and the axis perpendicular to the horizontal plane as the y-axis. Mark the slope angle collected in real time on the curve function, where the slope angle is the angle between the tangent line of the driving point on the curve function and the x-axis.

[0015] Obtain the driving direction of the unmanned vehicle on the curved slope, generate a driving line function based on the driving direction with the driving point as the origin, and obtain the driving angle of the unmanned vehicle based on the driving line function. This is the angle between the driving direction and the tangent line of the driving point, marked as α. The angle between the driving direction and the x-axis is used to generate the direction angle, marked as β.

[0016] The driving straight line function is expressed as y=ax, wherein a represents the inclination angle of the driving straight line function and a>0. According to the driving straight line function, the direction angle β can be obtained;

[0017] The driving angle is obtained according to the slope angle and the direction angle, that is, α=β-θ.

[0018] Furthermore, the obtained driving angle includes positive numbers, negative numbers, and 0. The positive number indicates that the driving direction of the unmanned vehicle is higher than the tangent direction of the driving point, the negative number indicates that the driving direction of the unmanned vehicle is lower than the tangent direction of the driving point, and 0 indicates that the driving direction of the unmanned vehicle is the tangent direction of the driving point.

[0019] Setting different driving angle threshold comparison pools, including a positive threshold comparison pool and a negative threshold comparison pool, and sending the obtained driving angle to different driving angle threshold comparison pools according to the size of the driving angle, thereby determining whether the driving direction of the unmanned vehicle is normal;

[0020] The threshold range of the positive threshold comparison pool is (0, α1], and the range of the negative threshold comparison pool is [α2, 0);

[0021] According to the size of the driving angle, it is transmitted to different driving angle threshold comparison pools. If the driving angle is greater than 0, it is sent to the positive threshold comparison pool. If the driving angle is less than 0, it is sent to the negative threshold comparison pool. If the driving angle is equal to 0, the driving speed of the driving direction corresponding to the driving angle is obtained.

[0022] When 0<α≤α1 or α2≤α<0, the driving direction of the unmanned vehicle corresponding to the driving angle is a safe direction, and the driving angle is marked as a safe driving angle. The driving speed corresponding to the safe direction is obtained in real time and marked as the driving speed in the safe direction, so as to generate a safe direction driving data packet from the safe driving angle and the driving speed in the safe direction. When α>α1 or α<α2, the driving direction of the unmanned vehicle corresponding to the driving angle is an abnormal direction, and the driving angle is marked as an abnormal driving angle. The driving speed in the abnormal direction is obtained in real time and marked as the driving speed in the abnormal direction, and the abnormal direction driving data packet is generated from the abnormal driving angle and the driving speed in the abnormal direction.

[0023] Furthermore, the process of the first driving control unit generating the first driving control data packet includes:

[0024] A threshold range of a safe direction driving speed is set, the safe direction driving speed in the safe direction data packet of the cloud database is dispatched and traversed, the safe direction driving speed is compared with the safe direction driving speed threshold range, if the safe direction driving speed does not exist in the safe direction driving speed threshold range, the safe direction driving speed is determined to be abnormal and marked as safe direction speed abnormal data, and the safe direction speed abnormal data and the corresponding driving angle are used to generate a first drive control data packet; if the safe direction driving speed exists in the safe direction driving speed threshold range, safe driving is performed.

[0025] Furthermore, the process of the second driving control unit generating the second driving control data packet includes:

[0026] A threshold range of driving speed in the abnormal direction is set, and the driving speed in the abnormal direction in the abnormal direction data packet of the cloud database is scheduled and traversed. If the driving speed in the abnormal direction does not exist in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is judged to be abnormal and marked as abnormal speed data in the abnormal direction, and the abnormal speed data in the abnormal direction and the corresponding driving angle are used to generate a first data packet; if the driving speed in the abnormal direction exists in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is judged to be normal and marked as normal speed data in the abnormal direction, and the normal speed data in the abnormal direction and the corresponding driving angle are used to generate a second data packet.

[0027] Furthermore, the third driving control unit determines the unmanned vehicle traveling on a curved slope based on the first driving control data packet and the second driving control data packet, and generates a driving alarm signal, which includes:

[0028] The driving alarm signal includes a first driving alarm signal, a second driving alarm signal and a third driving alarm signal;

[0029] A first driving alarm signal, a second driving alarm signal and a third driving alarm signal are correspondingly generated according to the received driving control data packet.

[0030] Furthermore, the process of the adjustment module adjusting the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal includes:

[0031] When the first driving alarm signal is received, the safety direction speed abnormality data in the first driving control data packet is automatically adjusted to be within the safety direction speed threshold range according to the safety direction driving speed threshold range;

[0032] When a second driving alarm signal is received, it is used to remind the unmanned vehicle that there is "abnormal speed data in an abnormal direction" when the unmanned vehicle is driving on a curved slope, indicating that both the driving angle of the unmanned vehicle and the driving speed in the driving direction corresponding to the driving angle are abnormal, and the unmanned vehicle needs to be remotely stopped;

[0033] When the third driving alarm signal is received, a driving angle threshold corresponding to a normal driving speed is set, and the driving angle of the unmanned vehicle is automatically adjusted according to the driving angle threshold, thereby automatically adjusting the driving direction of the unmanned vehicle.

[0034] Further, the following steps are included:

[0035] Step 1: Real-time collection of driving information data of the unmanned vehicle when driving on a curved slope;

[0036] Step 2: Process the driving information data, and obtain a safe direction driving data packet and an abnormal direction driving data packet when the vehicle is driving on a curved slope according to the processing results;

[0037] Step 3: Based on the safe direction data packet and the abnormal direction driving data packet, the driving speed and driving angle of the unmanned vehicle traveling on the curved slope are controlled, and a driving control data packet is generated. A driving alarm signal is generated based on the driving control data packet;

[0038] Step 4: Adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal.

[0039] Compared with the prior art, the beneficial effects of the present invention are: real-time collection of driving information data of an unmanned vehicle when driving on a curved slope, processing the driving information data, and obtaining a safe direction driving data packet and an abnormal direction driving data packet of the vehicle when driving on the curved slope based on the processing results; based on the safe direction data packet and the abnormal direction driving data packet, the driving speed and driving angle of the unmanned vehicle driving on the curved slope are driven and controlled, and a driving control data packet is generated; a driving alarm signal is generated based on the driving control data packet; and the driving information data of the unmanned vehicle when driving on the curved slope is adjusted based on the driving alarm signal; the safe driving direction and driving speed of the unmanned vehicle on the uphill or downhill curved slope are adjusted, thereby improving the safety of the unmanned vehicle driving on the curved slope and preventing the unmanned vehicle from losing control and facing driving danger when going uphill or downhill on a curve. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0041] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0042] like Figure 1 As shown, a vehicle drive control system and method based on the Internet of Things include a control terminal connected to a data acquisition module, a data processing module, a drive control module, and a regulation module;

[0043] The data acquisition module is used to collect driving information data of the unmanned vehicle in real time when driving on a curved slope. The specific process includes:

[0044] The curved slope is formed by a plurality of straight slopes, including flat slopes, gentle slopes, inclined slopes, steep slopes, abrupt slopes and dangerous slopes;

[0045] The driving information data includes driving speed, driving angle and driving position;

[0046] A small slope sensor is installed on each tire of the unmanned vehicle to collect the angle between the curved slope and the horizontal plane in real time, which is marked as the slope angle θ. At the same time, the speed and position of the unmanned vehicle are collected and marked as V and (x, y) respectively.

[0047] Send the real-time collected driving information data to the data processing module for processing;

[0048] It should be further explained that, during the specific implementation process, when the unmanned vehicle is going uphill or downhill on a curved slope, it is unable to predict the slope of the uphill or downhill slope, and thus is unable to control the speed of going uphill or downhill, causing the unmanned vehicle to lose control when going uphill or downhill on a curved slope and face driving danger.

[0049] The data processing module is used to process the driving information data and obtain a safe direction driving data packet and an abnormal direction driving data packet when the vehicle is driving on a curved slope according to the processing results. The specific process includes:

[0050] Generate the surface slope as an xy curve function, with the driving position of the unmanned vehicle as a point on the curve function, recorded as the driving point. The curve function uses the driving point as the real-time origin, the horizontal plane as the x-axis, and the axis perpendicular to the horizontal plane as the y-axis. Mark the slope angle collected in real time on the curve function. The slope angle is the angle between the tangent line of the driving point on the curve function and the x-axis. The curve function is updated as the real-time origin is updated.

[0051] Obtain the driving direction of the unmanned vehicle on the curved slope, generate a driving straight line function based on the driving direction with the driving point as the origin, obtain the driving angle of the unmanned vehicle based on the driving straight line function, that is, the angle between the driving direction and the tangent line of the driving point, and mark it in the driving straight line function, generate the driving angle based on the driving direction, and mark it as α, and generate the direction angle based on the angle formed by the driving direction and the x-axis, and mark it as β;

[0052] The driving straight line function is expressed as y=ax, wherein a represents the inclination angle of the driving straight line function and a>0. According to the driving straight line function, the direction angle β can be obtained;

[0053] The driving angle is obtained according to the slope angle and direction angle, that is, the formula is:

[0054] α=β-θ;

[0055] According to the obtained driving angle of the unmanned vehicle, determining whether the driving direction of the unmanned vehicle is normal;

[0056] The obtained driving angle includes positive numbers, negative numbers and 0. The positive number indicates that the driving direction of the unmanned vehicle is higher than the tangent direction of the driving point, the negative number indicates that the driving direction of the unmanned vehicle is lower than the tangent direction of the driving point, and 0 indicates that the driving direction of the unmanned vehicle is the tangent direction of the driving point;

[0057] Setting different driving angle threshold comparison pools, including a positive threshold comparison pool and a negative threshold comparison pool, and sending the obtained driving angle to different driving angle threshold comparison pools according to the size of the driving angle, thereby determining whether the driving direction of the unmanned vehicle is normal;

[0058] The threshold range of the positive threshold comparison pool is (0, α1], and the range of the negative threshold comparison pool is [α2, 0);

[0059] According to the size of the driving angle, it is transmitted to different driving angle threshold comparison pools. If the driving angle is greater than 0, it is sent to the positive threshold comparison pool; if the driving angle is less than 0, it is sent to the negative threshold comparison pool;

[0060] When 0 < α ≤ α 1 or α 2 ≤ α < 0, the driving direction of the unmanned vehicle corresponding to the driving angle is a safe direction, and the driving angle is marked as a safe driving angle, and the driving speed corresponding to the safe direction is obtained in real time and marked as the driving speed in the safe direction, thereby generating a safe direction driving data packet from the safe driving angle and the driving speed in the safe direction, and storing it in a cloud database; when α > α 1 or α < α 2, the driving direction of the unmanned vehicle corresponding to the driving angle is an abnormal direction, and the driving angle is marked as an abnormal driving angle, and the driving speed in the abnormal direction is obtained in real time and marked as the driving speed in the abnormal direction, and generating an abnormal direction driving data packet from the abnormal driving angle and the driving speed in the abnormal direction, and storing it in a cloud database;

[0061] Sending the obtained safe direction driving data packet and abnormal direction driving data packet to the drive control module;

[0062] It needs to be further explained that when an unmanned vehicle is driving on a curved slope, there are not only uphill slopes but also downhill slopes. In the specific implementation process, it is necessary to ensure that the driving angle of the unmanned vehicle is within a safe range. According to data processing, when the unmanned vehicle is driving on a curved slope, it is determined whether the driving direction is a safe driving direction. According to the obtained driving angle, it is determined whether the driving direction is safe, ensuring that the unmanned vehicle controls the driving direction when driving on a curved slope.

[0063] The drive control module is used to control the driving speed and driving angle of the unmanned vehicle traveling on a curved slope based on the safe direction data packet and the abnormal direction driving data packet, and generate a drive control data packet, and generate a driving alarm signal based on the drive control data packet. The specific process includes:

[0064] The drive control module includes a first drive control unit, a second drive control unit and a third drive control unit;

[0065] The driving control data packet includes a first driving control data packet and a second driving control data packet;

[0066] The first driving control unit is used to control the driving speed of the unmanned vehicle on the curved slope and generate a first driving control data packet. The specific process includes:

[0067] A safe direction driving speed threshold range is set, the safe direction driving speed in the safe direction data packet of the cloud database is scheduled and traversed, the safe direction driving speed is compared with the safe direction driving speed threshold range, if the safe direction driving speed does not exist in the safe direction driving speed threshold range, the safe direction driving speed is determined to be abnormal and marked as safe direction speed abnormal data, the safe direction speed abnormal data is combined with the corresponding driving angle to generate a first driving control data packet, and the first driving control data packet is filtered and stored in the cloud sub-database; if the safe direction driving speed exists in the safe direction driving speed threshold range, safe driving is performed;

[0068] The first driving control data packet is sent to the third driving control unit.

[0069] The second driving control unit is used to control the driving angle of the unmanned vehicle on the curved slope and generate a second driving control data packet. The specific process includes:

[0070] A threshold range of driving speed in the abnormal direction is set, and the driving speed in the abnormal direction in the abnormal direction data packet of the cloud database is dispatched and traversed. If the driving speed in the abnormal direction does not exist in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is determined to be abnormal and marked as abnormal speed data in the abnormal direction, and the abnormal speed data in the abnormal direction and the corresponding driving angle are used to generate a first data packet; if the driving speed in the abnormal direction exists in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is determined to be normal and marked as normal speed data in the abnormal direction, and a second data packet is generated with the normal speed data in the abnormal direction and the corresponding driving angle;

[0071] The first data packet and the second data packet are formed into a second driving control data packet, and the second driving control data packet is screened and stored in the cloud sub-database.

[0072] The third driving control unit is used to judge the unmanned vehicle traveling on a curved slope based on the first driving control data packet and the second driving control data packet, and generate a driving alarm signal. The specific process includes:

[0073] The driving alarm signal includes a first driving alarm signal, a second driving alarm signal and a third driving alarm signal;

[0074] If the third driving control unit receives the first driving control data packet, it generates a first driving alarm signal;

[0075] If the third driving control unit receives the first data packet in the second driving control data packet, it generates a second driving alarm signal;

[0076] If the third driving control unit receives the first data packet in the second driving control data packet, it generates a third driving alarm signal;

[0077] Send the drive alarm signal to the regulation module.

[0078] The adjustment module is used to adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal. The specific process includes:

[0079] When the first driving alarm signal is received, the safety direction speed abnormality data in the first driving control data packet is automatically adjusted to be within the safety direction speed threshold range according to the safety direction driving speed threshold range, and continues to be stored in the cloud sub-database;

[0080] When a second driving alarm signal is received, the second driving alarm signal is sent to the relevant administrator terminal to remind the unmanned vehicle that there is "abnormal speed data in abnormal direction" when the unmanned vehicle is driving on a curved slope, indicating that both the driving angle of the unmanned vehicle and the driving speed in the driving direction corresponding to the driving angle are abnormal, and the unmanned vehicle needs to be remotely stopped;

[0081] When the third driving alarm signal is received, a driving angle threshold corresponding to a normal driving speed is set, and the driving angle of the unmanned vehicle is automatically adjusted according to the driving angle threshold, thereby automatically adjusting the driving direction of the unmanned vehicle, and the adjusted second data packet is stored in the cloud sub-database;

[0082] When the unmanned vehicle needs to travel on a curved slope, the data of the first drive control data package and the second data package in the cloud sub-database are automatically dispatched according to the obtained driving angle to automatically adjust the driving direction and speed.

[0083] The present invention also discloses a vehicle driving control method based on the Internet of Things, comprising the following steps:

[0084] Step 1: Real-time collection of driving information data of the unmanned vehicle when driving on a curved slope;

[0085] Step 2: Process the driving information data, and obtain a safe direction driving data packet and an abnormal direction driving data packet when the vehicle is driving on a curved slope according to the processing results;

[0086] Step 3: Based on the safe direction data packet and the abnormal direction driving data packet, the driving speed and driving angle of the unmanned vehicle traveling on the curved slope are controlled, and a driving control data packet is generated. A driving alarm signal is generated based on the driving control data packet;

[0087] Step 4: Adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal.

[0088] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A vehicle drive control system based on the Internet of Things, comprising a control terminal, characterized in that: The control terminal is connected to the data acquisition module, the data processing module, the drive control module and the adjustment module; The process of the data acquisition module for real-time acquisition of driving information data of the unmanned vehicle when driving on a curved slope includes: The driving information data includes driving speed, driving angle and driving position; A small slope sensor is installed on each tire of the unmanned vehicle to collect the angle between the curved slope and the horizontal plane in real time, which is marked as the slope angle θ. At the same time, the speed and position of the unmanned vehicle are collected and marked respectively. The process of the data processing module for processing the driving information data includes: Generate the surface slope as an xy curve function, with the driving position of the unmanned vehicle as a point on the curve function, recorded as the driving point. The curve function uses the driving point as the real-time origin, the horizontal plane as the x-axis, and the axis perpendicular to the horizontal plane as the y-axis. Mark the slope angle collected in real time on the curve function, where the slope angle is the angle between the tangent line of the driving point on the curve function and the x-axis. Obtain the driving direction of the unmanned vehicle on the curved slope, generate a driving straight line function based on the driving direction with the driving point as the origin, and obtain the driving angle of the unmanned vehicle based on the driving straight line function, which is the angle between the driving direction and the tangent line of the driving point, marked as , the angle between the driving direction and the x-axis is converted into a direction angle and marked as ; The driving angle is obtained according to the slope angle and direction angle, that is, According to the processing results, the driving angle includes positive numbers, negative numbers, and 0. The positive number indicates that the driving direction of the unmanned vehicle is higher than the tangent direction of the driving point, the negative number indicates that the driving direction of the unmanned vehicle is lower than the tangent direction of the driving point, and the 0 indicates that the driving direction of the unmanned vehicle is the tangent direction of the driving point; Setting different driving angle threshold comparison pools, including a positive threshold comparison pool and a negative threshold comparison pool, and sending the obtained driving angle to different driving angle threshold comparison pools according to the size of the driving angle, thereby determining whether the driving direction of the unmanned vehicle is normal; The threshold range of the positive threshold comparison pool is , the range of the negative threshold comparison pool is ; According to the size of the driving angle, it is transmitted to different driving angle threshold comparison pools. If the driving angle is greater than 0, it is sent to the positive threshold comparison pool. If the driving angle is less than 0, it is sent to the negative threshold comparison pool. If the driving angle is equal to 0, the driving speed of the driving direction corresponding to the driving angle is obtained. when or , then the driving direction of the unmanned vehicle corresponding to the driving angle is the safe direction, and the driving angle is marked as the safe driving angle, and the driving speed corresponding to the safe direction is obtained in real time, marked as the driving speed in the safe direction, thereby generating a safe direction driving data packet with the safe driving angle and the driving speed in the safe direction. or , the driving direction of the unmanned vehicle corresponding to the driving angle is an abnormal direction, and the driving angle is marked as an abnormal driving angle, the driving speed in the abnormal direction is obtained in real time, marked as the driving speed in the abnormal direction, and the abnormal driving angle and the driving speed in the abnormal direction are used to generate an abnormal direction driving data packet, and the safe direction driving data packet and the abnormal direction driving data packet when the vehicle is driving on a curved slope are obtained; The drive control module includes a first drive control unit, a second drive control unit, and a third drive control unit, configured to control the driving speed and driving angle of the unmanned vehicle traveling on a curved slope according to the safe direction data packet and the abnormal direction driving data packet, and to generate a drive control data packet, and generate a driving alarm signal according to the drive control data packet; The adjustment module is used to adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal.

2. The vehicle driving control system based on the Internet of Things according to claim 1, characterized in that: The process of the first driving control unit generating the first driving control data packet includes: A threshold range of a safe direction driving speed is set, the safe direction driving speed in the safe direction data packet of the cloud database is dispatched and traversed, the safe direction driving speed is compared with the safe direction driving speed threshold range, if the safe direction driving speed does not exist in the safe direction driving speed threshold range, the safe direction driving speed is determined to be abnormal and marked as safe direction speed abnormal data, and the safe direction speed abnormal data and the corresponding driving angle are used to generate a first drive control data packet; if the safe direction driving speed exists in the safe direction driving speed threshold range, safe driving is performed.

3. The vehicle driving control system based on the Internet of Things according to claim 2, characterized in that: The process of the second driving control unit generating the second driving control data packet includes: A threshold range of driving speed in the abnormal direction is set, and the driving speed in the abnormal direction in the abnormal direction data packet of the cloud database is scheduled and traversed. If the driving speed in the abnormal direction does not exist in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is judged to be abnormal and marked as abnormal speed data in the abnormal direction, and the abnormal speed data in the abnormal direction and the corresponding driving angle are used to generate a first data packet; if the driving speed in the abnormal direction exists in the driving speed threshold range of the abnormal direction, the driving speed in the abnormal direction is judged to be normal and marked as normal speed data in the abnormal direction, and the normal speed data in the abnormal direction and the corresponding driving angle are used to generate a second data packet.

4. The vehicle driving control system based on the Internet of Things according to claim 3, characterized in that: The process of the third driving control unit judging the unmanned vehicle traveling on the curved slope according to the first driving control data packet and the second driving control data packet and generating the driving alarm signal includes: The driving alarm signal includes a first driving alarm signal, a second driving alarm signal and a third driving alarm signal; A first driving alarm signal, a second driving alarm signal and a third driving alarm signal are correspondingly generated according to the received driving control data packet.

5. The vehicle driving control system based on the Internet of Things according to claim 4, characterized in that: The process of the adjustment module adjusting the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal includes: When the first driving alarm signal is received, the safety direction speed abnormality data in the first driving control data packet is automatically adjusted to be within the safety direction speed threshold range according to the safety direction driving speed threshold range; When a second driving alarm signal is received, it is used to remind the unmanned vehicle that "abnormal direction and speed data" are present when the unmanned vehicle is driving on a curved slope. This indicates that both the driving angle of the unmanned vehicle and the driving speed in the driving direction corresponding to the driving angle are abnormal, and the unmanned vehicle needs to be remotely stopped. When the third driving alarm signal is received, a driving angle threshold corresponding to a normal driving speed is set, and the driving angle of the unmanned vehicle is automatically adjusted according to the driving angle threshold, thereby automatically adjusting the driving direction of the unmanned vehicle.

6. The driving control method of a vehicle driving control system based on the Internet of Things according to any one of claims 1 to 5, characterized in that: The following steps are involved: Step 1: Real-time collection of driving information data of the unmanned vehicle when driving on a curved slope; Step 2: Process the driving information data, and obtain a safe direction driving data packet and an abnormal direction driving data packet when the vehicle is driving on a curved slope according to the processing results; Step 3: Based on the safe direction data packet and the abnormal direction driving data packet, the driving speed and driving angle of the unmanned vehicle traveling on the curved slope are controlled, and a driving control data packet is generated. A driving alarm signal is generated based on the driving control data packet; Step 4: Adjust the driving information data of the unmanned vehicle when driving on a curved slope according to the driving alarm signal.

Images