A device and method for controlling a driving display screen of a muck truck

Abstract

The present invention discloses a device and method for controlling a display screen when a dump truck is in operation, and relates to the technical field of vehicle display screens. In order to solve the problem that traditional dump trucks cannot be supervised in real time during operation, the frequency of traffic accidents caused by drivers' bad driving behaviors is quite high, and the drivers' behaviors cannot be restrained in time, resulting in poor driving safety performance of the dump trucks. The device and method for controlling a display screen when a dump truck is in operation detect and judge dangerous driving behaviors of the dump truck through an LED control chip. The LED control chip manages the detected data in a centralized system through a cloud monitoring platform, and the on-board terminal supervises the driver to avoid bad driving behaviors such as speeding, overloading, fatigue driving, smoking, and playing with mobile phones during driving. Different bad driving behaviors are classified and reminded, and the driver's behavior is corrected in time to ensure driving safety and reduce the occurrence of accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle display screens, and in particular to a device and method for controlling a running display screen of a muck truck. Background Art

[0002] Dump trucks, also known as earth-hauling trucks or slag trucks, are trucks used to transport construction materials such as sand and gravel. Dump trucks have become a target of public criticism due to their high incidence of traffic violations, frequent collisions, pollution of the urban environment, and impact on residents' lives. Therefore, the following issues still exist in the management of dump trucks during operation:

[0003] 1. Traditional muck truck driving display screens are only electrically connected to display the muck truck's running speed and vehicle information. They cannot be controlled via the Internet or remote terminals. The display content is single and has a narrow scope of application.

[0004] 2. Traditional muck trucks cannot be monitored in real time during driving. Traffic accidents caused by drivers' bad driving behavior are quite frequent. Drivers' behavior cannot be restrained in time, resulting in poor driving safety performance of muck trucks.

[0005] 3. Dump trucks usually operate in dusty environments. During driving, the display screen of the dump truck is often affected by dust, resulting in unclear display and greatly shortened service life. Summary of the Invention

[0006] The purpose of the present invention is to provide a device and method for controlling a driving display screen of a muck truck. The device detects and judges dangerous driving behaviors of the muck truck through an LED control chip. The LED control chip manages the detected data in a centralized system through a cloud monitoring platform. The on-board terminal supervises the driver to avoid bad driving behaviors such as speeding, overloading, fatigue driving, smoking, and playing with mobile phones during driving. It also provides classified reminders for different bad driving behaviors, corrects the driver's behavior in time, ensures driving safety, and reduces the occurrence of accidents, so as to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A driving display screen control device for a muck truck includes a driving display device, an LED control chip and a cloud monitoring platform. The driving display device consists of a mounting base, a display screen dust cover and an LED display device. The upper surface of the mounting base is fixedly connected to the display screen dust cover by bolts, and the display screen dust cover covers the LED display device inside. The LED display device includes an intelligent display screen and a display screen fixing box. The inner walls of the display screen fixing box are fixedly connected to the intelligent display screen by bolts on all four sides, and the upper surfaces of the display screen fixing box are fixedly connected to warning lights by bolts on both sides. Shock-absorbing springs are respectively installed on the lower surface of the display screen fixing box. An LED control chip is installed in the LED display device, and the LED control chip is electrically connected to the intelligent display screen through wires. The LED control chip exchanges data with the cloud monitoring platform through network signals.

[0009] Furthermore, the dust cover of the display screen is composed of a water tank and a dust box, the upper surface of the water tank is fixedly connected to the dust box, and a cleaning nozzle is provided on one side of the water tank, an observation glass compatible with the smart display screen is provided on one side of the dust box, the lower surface of the observation glass is fixedly connected to the inner wall of the dust box, a step is formed between the observation glass and one side of the dust box, the upper end of the inner wall of the dust box is fixedly connected to the translation slide rail, and a translation slider is installed on the translation slide rail, and the lower surface of the translation slider is fixedly connected to the cleaning brush through a transmission shaft, and a guide groove compatible with the lower end of the cleaning brush is provided on one side of the outer wall of the dust box, and the inner side of the cleaning brush contacts the outer wall of the observation glass, and observation holes compatible with warning lights are respectively provided on both sides of the upper end of the dust box, and the display screen fixing box is fixedly connected to the lower surface of the inner wall of the dust box through shock-absorbing springs, and heat dissipation holes are respectively opened on both sides of the display screen fixing box, and the lower surface of the mounting base is fixedly connected to the roof of the dump truck by bolts, and the LED display device is electrically connected to the power port of the dump truck through a wire.

[0010] Furthermore, the LED control chip includes a display output module, a data transmission module, a data acquisition module, a device control module and a power supply module. The output end of the display output module is electrically connected to the smart display screen. The data acquisition module interacts with the on-board terminal to collect vehicle speed data and driver driving behavior data. The device control module controls the operation of the on-board equipment according to the data collected by the data acquisition module. The data transmission module transmits the data collected by the data acquisition module to the display output module. The data transmission module also interacts with the cloud monitoring platform through network signals. The power supply module supplies power to the display output module, the data transmission module, the data acquisition module and the device control module respectively.

[0011] Furthermore, the on-board terminal includes a vehicle speed acquisition module, a driving behavior acquisition module, a cabin environment acquisition module, a loading data acquisition module, a warning module and a classification alarm module. The vehicle speed acquisition module, the driving behavior acquisition module, the cabin environment acquisition module and the loading data acquisition module respectively exchange data. The output ends of the driving behavior acquisition module, the cabin environment acquisition module and the loading data acquisition module are electrically connected to the warning module and the LED control chip respectively. The classification alarm module interacts with the warning module. The vehicle speed acquisition module collects the speed of the dump truck in real time. The driving behavior acquisition module monitors and collects the behavior of the driver in operation. The cabin environment acquisition module detects the air quality in the driving cabin. The loading data acquisition module detects the loading weight of the dump truck and transmits the data to the LED control chip in real time. The warning module performs critical warning on the collected data respectively, and the classification alarm module performs different alarm modes according to different collected data.

[0012] Furthermore, the cloud monitoring platform includes a driving data supervision module, a vehicle data management module, a solution decision module, a driving trajectory management module, a mobile network transmission module and a database management module. The driving data supervision module and the vehicle data management module respectively interact with the solution decision module for data, and the solution decision module interacts with the driving trajectory management module for data transmission. The driving data supervision module, the vehicle data management module, the solution decision module and the driving trajectory management module respectively connect to the smart terminal through the mobile network transmission module, and the database management module interacts with the solution decision module for data.

[0013] Furthermore, the driving data supervision module manages the received driving data separately, and the driving data includes driving speed, vehicle equipment temperature, loading weight and driving behavior to ensure that the data is within a safe range. The vehicle data management module manages the vehicle information of the dump truck separately, and the vehicle information includes license plate number, vehicle frame number, vehicle age and vehicle insurance. The information received by the vehicle data management module corresponds one-to-one with the data received by the driving data supervision module. The solution decision module associates the driving data with the vehicle and formulates a targeted driving solution to ensure driving safety. The driving trajectory management module manages the vehicle driving trajectory to facilitate the management of the dump truck system. The database management module stores and manages the data and provides a data basis for the solution customization of the solution decision module.

[0014] Further,

[0015] Acquire the current loading data collected by the loading data collection module 44, and obtain the current loading weight of the muck truck according to the current loading data;

[0016] Calculating the maximum speed of the muck truck based on the weight of the currently loaded items;

[0017] Determining the current loading level of the muck truck according to the weight of the currently loaded items;

[0018] Extracting historical driving data consistent with the current loading level in the vehicle speed acquisition module 41;

[0019] obtaining a historical driving speed list of the driver based on the historical driving data;

[0020] Simultaneously, based on a weight value of the historical driving data in the total historical driving data, analyzing the driving experience value of the driver at the current loading level;

[0021] Acquiring the cabin data collected by the cabin environment collection module 43, and analyzing the cabin comfort level based on the cabin data;

[0022] Acquire the historical driving data collected by the driving behavior collection module 42 and obtain the maximum continuous driving time of the driver at the comfort level;

[0023] Inputting the maximum driving speed and all historical driving speeds in the historical driving speed list into a preset data axis, and obtaining a speed difference between the maximum driving speed and each historical driving speed;

[0024] adjusting the maximum travel speed using the speed difference to generate an adjusted speed;

[0025] generating a recommended driving speed range based on the adjustment speed and the driving experience value;

[0026] At the same time, the maximum continuous driving time is adjusted according to the driving experience value to generate a recommended driving time;

[0027] generating a driving plan based on the recommended driving speed range and the recommended driving duration;

[0028] analyzing whether the driver's driving behavior complies with the driving plan during the driver's driving process;

[0029] If not, the abnormal items of the driver are extracted, and the classification alarm module 46 performs corresponding alarm work based on the attributes of the abnormal items.

[0030] Furthermore, the driving data monitoring module is used to determine whether the driver is driving fatigued based on the driving behavior, and the steps include:

[0031] obtaining a plurality of driving sample data of the driver based on the driving behavior;

[0032] The driver's blinking frequency, yawning frequency and acceleration change frequency are extracted from each driving sample data;

[0033] Identify the extracted multiple parameters and obtain identification results;

[0034] The driver's abnormality coefficient during driving is calculated based on the driver's blinking frequency, yawning frequency, and acceleration change frequency in each driving sample data and the identification results of each parameter:

[0035]

[0036] Among them, F represents the driver's abnormal coefficient during driving, N represents the number of driving sample data, i represents the i-th family sample data, P 1i It is represented as the blinking frequency of the driver in the i-th driving sample data, P 2i Expressed as the reference threshold of standard blink frequency during driving, Q 1i It is represented as the identification index value of the driver's blinking frequency in the i-th driving sample data, α is represented as the driver's eye health coefficient, μ is represented as the influence factor of the driver's minimum eye opening on the extraction of blinking frequency, and A 1i A is the yawning frequency of the driver in the i-th driving sample data, 2i It is expressed as the standard yawning frequency reference threshold during driving, Q 2i It is represented as the identification index value of the driver's yawning frequency in the i-th driving sample data, β is represented as the driver's driving intensity, C 1i It is expressed as the acceleration change frequency of the driver in the i-th driving sample data, D 2i It is represented by the driver’s acceleration gear switching frequency in the i-th driving sample data, Q 3i It is represented as the identification index value of the driver's acceleration change frequency in the i-th driving sample data, and δ is represented as the driver's driving experience index;

[0037] confirming whether the abnormal coefficient is greater than a preset coefficient, and if so, obtaining a plurality of driving images of the driver based on the driving behavior; otherwise, confirming that the driver is not driving fatigued;

[0038] Extract the human eye feature factors from each frame of driving image;

[0039] Fatigue features and eye standard features are screened out based on the human eye feature factors in each frame of driving images;

[0040] The driver's fatigue level is calculated based on the fatigue features and eye standard features in the human eye feature factors in each frame of the image:

[0041]

[0042] Among them, B represents the driver's fatigue, M represents the number of frames of the driving image, j represents the jth frame of the driving image, k jIt is expressed as the proportion of fatigue features in the j-th frame driving image, H j It is represented as the proportion of eye normative features in the j-th frame driving image, e is represented as a natural constant with a value of 2.72, and μ is represented as the driver's driving stability index;

[0043] Confirm whether the driver's fatigue level is greater than or equal to a preset threshold. If so, confirm that the driver is driving while fatigued; otherwise, confirm that the driver is not actually driving while fatigued.

[0044] The present invention provides another technical solution, a method for controlling a display screen of a muck truck, comprising the following steps:

[0045] Step 1: The driving display device is installed on the roof of the muck truck, connected to the power supply, and displays information in real time;

[0046] Step 2: The vehicle terminal monitors and alarms the data in real time. The LED control chip receives the vehicle and driving information collected by the vehicle terminal and transmits the data to the cloud monitoring platform.

[0047] Step 3: The cloud monitoring platform monitors and stores vehicle driving data, manages garbage trucks and drivers, and transmits the data to smart terminals in real time.

[0048] Furthermore, with respect to step three, the intelligent terminal is provided with a visual independent window for displaying the dump truck information, vehicle speed information and vehicle position in real time, and an operation instruction input button is provided on the visual independent window.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. The present invention proposes a device and method for controlling a display screen on a muck truck. The device covers an LED display device inside the device through a display screen dust cover, thereby preventing the LED display device from being eroded by dust accumulation or rainwater, effectively playing a protective role, and having a good shock absorption effect, thereby extending the service life of the LED display device. The cleaning nozzle sprays water to clean the surface of the observation glass, and the cleaning brush cleans water stains on the surface of the observation glass, thereby ensuring the cleanliness of the surface of the observation glass, preventing dust from obstructing the display content of the smart display screen, and facilitating the observation and supervision of the display content.

[0051] 2. The present invention proposes a device and method for controlling a display screen on a muck truck. The device detects and determines dangerous driving behaviors of the muck truck through an LED control chip. The LED control chip manages the detected data in a centralized system through a cloud monitoring platform. The on-board terminal supervises the driver to avoid bad driving behaviors such as speeding, overloading, fatigue driving, smoking, and playing with mobile phones during driving. It also provides classified reminders for different bad driving behaviors, corrects the driver's behavior in a timely manner, ensures driving safety, and reduces the occurrence of accidents.

[0052] 3. The present invention proposes a device and method for controlling a display screen for a muck truck, which remotely monitors the vehicle information of the muck truck in real time through a cloud monitoring platform, provides corresponding statistical details, and effectively analyzes the statistical results of the receipt to derive a decision-making direction plan, thereby effectively monitoring the vehicle in real time and facilitating the unified management of muck trucks. The intelligent terminal receives data, making it convenient for enterprises and government management departments to obtain relevant information in real time, which is beneficial to enterprise supervision and real-time supervision by government management departments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A perspective view of the driving display device of the present invention;

[0054] Figure 2 A three-dimensional diagram of the LED display device of the present invention;

[0055] Figure 3 A partially cutaway perspective view of a display screen dust cover according to the present invention;

[0056] Figure 4 This is the overall module topology diagram of the present invention;

[0057] Figure 5 This is a diagram of the LED control chip module of the present invention;

[0058] Figure 6 This is a diagram of the vehicle-mounted terminal module of the present invention;

[0059] Figure 7 This is a module diagram of the cloud monitoring platform of the present invention;

[0060] Figure 8 This is a flow chart of the driving display device method of the present invention.

[0061] In the figure: 1. Driving display device; 11. Mounting base; 12. Display screen dust cover; 121. Water tank; 122. Dust box; 123. Cleaning nozzle; 124. Observation glass; 125. Translation rail; 126. Translation slider; 127. Cleaning brush; 13. LED display device; 131. Smart display; 132. Display screen fixing box; 133. Warning light; 134. Shock-absorbing spring; 135. Heat dissipation hole; 2. LED control chip; 21. Display output module; 22. Data transmission module; 23. Data acquisition module; 24. Equipment control module; 25. Power supply module; 3. Cloud monitoring platform; 31. Driving data supervision module; 32. Vehicle data management module; 33. Solution decision module; 34. Driving trajectory management module; 35. Mobile network transmission module; 36. Database management module; 4. On-board terminal; 41. Vehicle speed acquisition module; 42. Driving behavior acquisition module; 43. Carriage environment acquisition module; 44. Loading data acquisition module; 45. Early warning module; 46. Classification alarm module; 5. Smart terminal. DETAILED DESCRIPTION

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0063] See also Figure 1-3A driving display screen control device for a muck truck includes a driving display device 1, an LED control chip 2, and a cloud monitoring platform 3. The driving display device 1 is composed of a mounting base 11, a display screen dust cover 12, and an LED display device 13. The upper surface of the mounting base 11 is fixedly connected to the display screen dust cover 12 by bolts. The display screen dust cover 12 covers the LED display device 13 inside it to prevent the LED display device 13 from being eroded by dust accumulation or rainwater, effectively playing a protective effect and extending the service life of the LED display device 13. The display screen dust cover 12 is composed of a water tank 121 and a dust box 122. , the upper surface of the water tank 121 is fixedly connected to the dustproof box 122, and a cleaning nozzle 123 is provided on one side of the water tank 121. An observation glass 124 adapted to the smart display screen 131 is provided on one side of the dustproof box 122. The lower surface of the observation glass 124 is fixedly connected to the inner wall of the dustproof box 122. The observation glass 124 forms a step with one side of the dustproof box 122. The upper end of the inner wall of the dustproof box 122 is fixedly connected to the translation rail 125. A translation slider 126 is installed on the translation rail 125. The lower surface of the translation slider 126 is fixedly connected to the cleaning brush 127 through a transmission shaft. One side of the outer wall of the dustproof box 122 is provided with a cleaning brush 127. The lower end of the brush 127 is adapted to the guide groove, and the inner side of the cleaning brush 127 contacts the outer wall of the observation glass 124. The LED display device 13 includes an intelligent display screen 131 and a display screen fixing box 132. The inner walls of the display screen fixing box 132 are fixedly connected to the intelligent display screen 131 by bolts. The upper surfaces of the display screen fixing box 132 are fixedly connected to the warning lights 133 by bolts on both sides. Shock-absorbing springs 134 are installed on the lower surfaces of the display screen fixing box 132. Observation holes adapted to the warning lights 133 are provided on both sides of the upper end of the dustproof box 122. The display screen fixing box 132 is fixedly connected to the intelligent display screen 131 by bolts on both sides. 4 is fixedly connected to the lower surface of the inner wall of the dustproof box 122, with good shock absorption effect. Heat dissipation holes 135 are respectively opened on both sides of the display screen fixing box 132. The lower surface of the mounting base 11 is fixedly connected to the roof of the muck truck by bolts. The LED display device 13 is electrically connected to the power port of the muck truck through a wire. The surface of the observation glass 124 is sprayed with water by the cleaning nozzle 123. The sliding slider 126 drives the cleaning brush 127 to clean the water stains on the surface of the observation glass 124, ensuring the cleanliness of the surface of the observation glass 124, preventing dust from blocking the display content of the smart display screen 131, and facilitating the observation and supervision of the display content.

[0064] See also Figure 4-6, an LED control chip 2 is installed in the LED display device 13, and the LED control chip 2 is electrically connected to the smart display screen 131 through a wire. The LED control chip 2 interacts with the cloud monitoring platform 3 through a network signal. The LED control chip 2 includes a display output module 21, a data transmission module 22, a data acquisition module 23, a device control module 24 and a power supply module 25. The output end of the display output module 21 is electrically connected to the smart display screen 131, and the data acquisition module 23 interacts with the vehicle terminal 4 to collect vehicle speed data and driver driving behavior data. The device control module 24 collects data according to the data. The data collected by the module 23 controls the operation of the vehicle-mounted equipment. The data transmission module 22 transmits the data collected by the data acquisition module 23 to the display output module 21. The data transmission module 22 also interacts with the cloud monitoring platform 3 through network signals. The power supply module 25 supplies power to the display output module 21, the data transmission module 22, the data acquisition module 23 and the equipment control module 24 respectively. The vehicle-mounted terminal 4 includes a vehicle speed acquisition module 41, a driving behavior acquisition module 42, a vehicle environment acquisition module 43, a loading data acquisition module 44, a warning module 45 and a classification alarm module 46. The vehicle speed acquisition module 41, the driving behavior acquisition module 42, the vehicle environment acquisition module 43, the loading data acquisition module 44, the warning module 45 and the classification alarm module 46 The acquisition module 42, the cabin environment acquisition module 43 and the loading data acquisition module 44 respectively exchange data. The output ends of the driving behavior acquisition module 42, the cabin environment acquisition module 43 and the loading data acquisition module 44 are electrically connected to the warning module 45 and the LED control chip 2 respectively. The classification alarm module 46 exchanges data with the warning module 45. The speed acquisition module 41 collects the speed of the muck truck in real time. The driving behavior acquisition module 42 monitors and collects the behavior of the driver in operation. The cabin environment acquisition module 43 detects the air quality in the driving cabin. The loading data acquisition module 44 detects the loading weight of the muck truck and The data is transmitted to the LED control chip 2. The early warning module 45 performs critical warning on the collected data respectively. The classified alarm module 46 performs different alarm modes according to different collected data. The LED control chip 2 detects and judges dangerous driving behaviors of the muck truck. The LED control chip 2 manages the detected data in a centralized system through the cloud monitoring platform 3. The on-board terminal 4 supervises the driver to avoid bad driving behaviors such as speeding, overloading, fatigue driving, smoking, playing with mobile phones, etc. during driving. It also provides classified reminders for different bad driving behaviors, corrects the driver's behavior in time, ensures driving safety, and reduces the occurrence of accidents.

[0065] See also Figure 7The cloud monitoring platform 3 includes a driving data supervision module 31, a vehicle data management module 32, a solution decision module 33, a driving trajectory management module 34, a mobile network transmission module 35 and a database management module 36. The driving data supervision module 31 and the vehicle data management module 32 respectively interact with the solution decision module 33 for data, and the solution decision module 33 interacts with the driving trajectory management module 34 for data. The driving data supervision module 31, the vehicle data management module 32, the solution decision module 33 and the driving trajectory management module 34 respectively connect to the smart terminal 5 for data transmission through the mobile network transmission module 35, and the database management module 36 interacts with the solution decision module 33 for data. The driving data supervision module 31 manages the received driving data, which includes driving speed, vehicle equipment temperature, loading weight and driving behavior, to ensure that the data is within a safe range. The vehicle data management module 32 The vehicle information is managed, including the license plate number, vehicle frame number, vehicle age and vehicle insurance. The information received by the vehicle data management module 32 corresponds one-to-one to the data received by the driving data supervision module 31. The solution decision module 33 associates the driving data with the vehicle and formulates a targeted driving solution to ensure driving safety. The driving trajectory management module 34 manages the vehicle driving trajectory to facilitate the management of the dump truck system. The database management module 36 stores and manages the data and provides a data basis for the solution customization of the solution decision module 33. The cloud monitoring platform 3 remotely monitors the vehicle information of the dump truck in real time and provides corresponding statistical details. It also conducts effective analysis on the statistical results of the receipt to derive a decision direction plan, monitors the vehicle in real time and effectively, and facilitates the unified management of the dump truck. The smart terminal 5 receives data to facilitate enterprises and government management departments to obtain relevant information in real time, which is conducive to enterprise supervision and real-time supervision by government management departments.

[0066] In one instance,

[0067] Acquire the current loading data collected by the loading data collection module 44, and obtain the current loading weight of the muck truck according to the current loading data;

[0068] Calculating the maximum speed of the muck truck based on the weight of the currently loaded items;

[0069] Determining the current loading level of the muck truck according to the weight of the currently loaded items;

[0070] Extracting historical driving data consistent with the current loading level in the vehicle speed acquisition module 41;

[0071] obtaining a historical driving speed list of the driver based on the historical driving data;

[0072] Simultaneously, based on a weight value of the historical driving data in the total historical driving data, analyzing the driving experience value of the driver at the current loading level;

[0073] Acquiring the cabin data collected by the cabin environment collection module 43, and analyzing the cabin comfort level based on the cabin data;

[0074] Acquire the historical driving data collected by the driving behavior collection module 42 and obtain the maximum continuous driving time of the driver at the comfort level;

[0075] Inputting the maximum driving speed and all historical driving speeds in the historical driving speed list into a preset data axis, and obtaining a speed difference between the maximum driving speed and each historical driving speed;

[0076] adjusting the maximum travel speed using the speed difference to generate an adjusted speed;

[0077] generating a recommended driving speed range based on the adjustment speed and the driving experience value;

[0078] At the same time, the maximum continuous driving time is adjusted according to the driving experience value to generate a recommended driving time;

[0079] generating a driving plan based on the recommended driving speed range and the recommended driving duration;

[0080] analyzing whether the driver's driving behavior complies with the driving plan during the driver's driving process;

[0081] If not, the abnormal items of the driver are extracted, and the classification alarm module 46 performs corresponding alarm work based on the attributes of the abnormal items.

[0082] In this example, the current loading data refers to the data generated when the muck truck is loading the physical object (muck);

[0083] In this example, the preset data axis represents a one-dimensional coordinate axis containing only the X-axis;

[0084] In this example, the weight of the items loaded this time refers to the weight of the muck truck after it is loaded;

[0085] In this example, the weight value represents the proportion of historical driving data in all data;

[0086] In this example, the driving experience value represents data on driving proficiency generated based on the number of times the driver has driven a muck truck of this weight;

[0087] In this example, the car compartment data represents the environmental data of the driver's cab of a muck truck;

[0088] In this example, the comfort level indicates the environmental comfort level in the cab;

[0089] In this example, the abnormal items include abnormal speed and fatigue driving.

[0090] The working principle of the above technical solution is: obtain the current loading data and thus the current device weight of the current dump truck, and then obtain the maximum driving speed under this weight, extract historical driving data according to the loading level of the dump truck, establish a historical driving speed list, and at the same time analyze the driver's driving experience value at the loading level, obtain the car body data to analyze the car body comfort level, obtain the driving history driving data, analyze the driver's maximum continuous driving time at the comfort level, and then obtain the speed difference corresponding to the maximum driving speed and each historical driving speed to adjust the maximum driving speed to generate an adjusted speed and then combine the driving experience value to generate a recommended driving speed range, at the same time adjust the maximum continuous driving time according to the driving experience value to generate a recommended driving time, and finally generate a driving plan, analyze whether the driver's driving behavior complies with the driving plan during the driver's driving process, and if it does not comply, the classification alarm module will perform corresponding alarm work based on the attributes of the abnormal item.

[0091] The beneficial effects of the above technical solution are as follows: Since the degree of danger of dump trucks of different weights when traveling at the same speed is not the same, in order to avoid accidents caused by drivers arbitrarily accelerating based on experience, after the dump truck is loaded, the weight of the dump truck is matched with the historical driving speed under that weight and the driver's driving experience value, and the comfort of the car is combined to generate a recommended driving speed range, and then the recommended driving time is generated based on the driving experience value and driving data, and finally a complete driving plan is generated. During the driver's driving process, the driving plan is used as a benchmark to analyze whether the driver's operation is dangerous. If necessary, corresponding alarm reminders are given to ensure the driver's life safety.

[0092] In one embodiment, the driving data monitoring module 31 is used to determine whether the driver is driving fatigued based on the driving behavior, and the steps include:

[0093] obtaining a plurality of driving sample data of the driver based on the driving behavior;

[0094] The driver's blinking frequency, yawning frequency and acceleration change frequency are extracted from each driving sample data;

[0095] Identify the extracted multiple parameters and obtain identification results;

[0096] The driver's abnormality coefficient during driving is calculated based on the driver's blinking frequency, yawning frequency, and acceleration change frequency in each driving sample data and the identification results of each parameter:

[0097]

[0098] Among them, F represents the driver's abnormal coefficient during driving, N represents the number of driving sample data, i represents the i-th family sample data, P 1i It is represented as the blinking frequency of the driver in the i-th driving sample data, P 2i Expressed as the reference threshold of standard blink frequency during driving, Q 1i It is represented as the identification index value of the driver's blinking frequency in the i-th driving sample data, α is represented as the driver's eye health coefficient, μ is represented as the influence factor of the driver's minimum eye opening on the extraction of blinking frequency, and A 1i A is the yawning frequency of the driver in the i-th driving sample data, 2i It is expressed as the standard yawning frequency reference threshold during driving, Q 2i It is represented as the identification index value of the driver's yawning frequency in the i-th driving sample data, β is represented as the driver's driving intensity, C 1i It is expressed as the acceleration change frequency of the driver in the i-th driving sample data, D 2i It is represented by the driver’s acceleration gear switching frequency in the i-th driving sample data, Q 3i It is represented as the identification index value of the driver's acceleration change frequency in the i-th driving sample data, and δ is represented as the driver's driving experience index;

[0099] confirming whether the abnormal coefficient is greater than a preset coefficient, and if so, obtaining a plurality of driving images of the driver based on the driving behavior; otherwise, confirming that the driver is not driving fatigued;

[0100] Extract the human eye feature factors from each frame of driving image;

[0101] Fatigue features and eye standard features are screened out based on the human eye feature factors in each frame of driving images;

[0102] The driver's fatigue level is calculated based on the fatigue features and eye standard features in the human eye feature factors in each frame of the image:

[0103]

[0104] Among them, B represents the driver's fatigue, M represents the number of frames of the driving image, j represents the jth frame of the driving image, k j It is expressed as the proportion of fatigue features in the j-th frame driving image, H j It is represented as the proportion of eye normative features in the j-th frame driving image, e is represented as a natural constant with a value of 2.72, and μ is represented as the driver's driving stability index;

[0105] Confirm whether the driver's fatigue level is greater than or equal to a preset threshold. If so, confirm that the driver is driving while fatigued; otherwise, confirm that the driver is not actually driving while fatigued.

[0106] The beneficial effect of the above technical solution is that the driver's fatigue level can be accurately calculated through his driving parameters to determine whether he is driving fatigued. Compared with the existing technology of judging through monitoring video, it is more intuitive and accurate, improves the judgment accuracy, and can effectively avoid the problem of safety accidents caused by driver fatigue driving, thereby improving safety.

[0107] See also Figure 8 A method for controlling a display screen control device for a muck truck comprises the following steps:

[0108] Step 1: The driving display device 1 is installed on the roof of the muck truck, connected to the power supply, and displays information in real time;

[0109] Step 2: The vehicle terminal 4 monitors and alarms the data in real time, and the LED control chip 2 receives the vehicle and driving information collected by the vehicle terminal 4 and transmits the data to the cloud monitoring platform 3;

[0110] Step 3: The cloud monitoring platform 3 supervises and stores vehicle driving data, manages the dump trucks and drivers, and transmits the data to the smart terminal 5 in real time. The smart terminal 5 is provided with a visual independent window that displays the dump truck information, speed information and vehicle position in real time, and an operation command input button is provided on the visual independent window.

[0111] In summary, the present device and method for controlling the display screen while the muck truck is running, covers the LED display device 13 inside thereof through the display screen dust cover 12, thereby preventing the LED display device 13 from being eroded by dust accumulation or rainwater, effectively playing a protective role, and having a good shock absorption effect, thereby extending the service life of the LED display device 13, the cleaning nozzle 123 sprays water to clean the surface of the observation glass 124, and the cleaning brush 127 cleans the water stains on the surface of the observation glass 124, thereby ensuring the cleanliness of the surface of the observation glass 124, preventing dust from blocking the display content of the smart display screen 131, and facilitating the observation and supervision of the display content, and detecting and judging dangerous driving behaviors of the muck truck through the LED control chip 2, the LED control chip 2 will detect The data is centrally managed by the cloud monitoring platform 3, and the on-board terminal 4 supervises the driver to avoid bad driving behaviors such as speeding, overloading, fatigue driving, smoking, playing with mobile phones, etc., and classifies and reminds different bad driving behaviors, corrects the driver's behavior in time, ensures driving safety, and reduces the occurrence of accidents. The cloud monitoring platform 3 remotely monitors the vehicle information of the dump truck in real time, and provides corresponding statistical details. It also conducts effective analysis on the statistical results of the receipt to draw up a decision-making direction plan, monitors the vehicle in real time and facilitates the unified management of the dump truck. The smart terminal 5 receives data, which makes it convenient for enterprises and government management departments to obtain relevant information in real time, which is conducive to enterprise supervision and real-time supervision by government management departments.

[0112] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A muck truck driving display screen control device, comprising a driving display device (1), an LED control chip (2) and a cloud monitoring platform (3), characterized in that: The driving display device (1) is composed of a mounting base (11), a display screen dust cover (12) and an LED display device (13). The upper surface of the mounting base (11) is fixedly connected to the display screen dust cover (12) by bolts. The display screen dust cover (12) covers the LED display device (13) therein. The LED display device (13) includes an intelligent display screen (131) and a display screen fixing box (132). The inner wall of the display screen fixing box (132) is fixedly connected to the intelligent display screen (131) by bolts. Both sides of the upper surface of the display screen fixing box (132) are fixedly connected to the warning light (133) by bolts. Shock-absorbing springs (134) are respectively installed on the lower surface of the display screen fixing box (132). An LED control chip (2) is installed in the LED display device (13). The LED control chip (2) is electrically connected to the intelligent display screen (131) by wires. The LED control chip (2) exchanges data with the cloud monitoring platform (3) through network signals. The cloud monitoring platform (3) includes a driving data monitoring module (31), a vehicle data management module (32), a solution decision module (33), a driving trajectory management module (34), a mobile network transmission module (35) and a database management module (36); The driving data monitoring module (31) is used to determine whether the driver is driving fatigued based on the driving behavior, and the steps include: obtaining a plurality of driving sample data of the driver based on the driving behavior; The driver's blinking frequency, yawning frequency and acceleration change frequency are extracted from each driving sample data; Identify the extracted multiple parameters and obtain identification results; The driver's abnormality coefficient during driving is calculated based on the driver's blinking frequency, yawning frequency, and acceleration change frequency in each driving sample data and the identification results of each parameter: Among them, F represents the driver's abnormal coefficient during driving. It represents the number of driving sample data, i represents the i-th family sample data, It is represented by the blinking frequency of the driver in the i-th driving sample data, Expressed as the reference threshold of standard blink frequency during driving, It is represented as the identification index value of the driver’s blinking frequency in the i-th driving sample data, Expressed as the driver's eye health coefficient, It is expressed as the influence factor of the driver's minimum eye opening on the extracted blink frequency, It is represented by the driver’s yawning frequency in the i-th driving sample data, Expressed as the standard yawning frequency reference threshold during driving, It is represented as the identification index value of the driver's yawning frequency in the i-th driving sample data, Represents the driver's driving intensity, It is represented by the driver’s acceleration change frequency in the i-th driving sample data, It is represented by the driver's acceleration gear switching frequency in the i-th driving sample data, It is represented as the identification index value of the driver’s acceleration change frequency in the i-th driving sample data, Expressed as the driver's driving experience index; confirming whether the abnormal coefficient is greater than a preset coefficient, and if so, obtaining a plurality of driving images of the driver based on the driving behavior; otherwise, confirming that the driver is not driving fatigued; Extract the human eye feature factors from each frame of driving image; Fatigue features and eye standard features are screened out based on the human eye feature factors in each frame of driving images; The driver's fatigue level is calculated based on the fatigue features and eye standard features in the human eye feature factors in each frame of the image: Among them, B represents the driver's fatigue level, M represents the number of frames of the driving image, and j represents the j-th frame of the driving image. It is expressed as the proportion of fatigue features in the j-th frame driving image, It is expressed as the proportion of eye standard features in the j-th frame driving image, e is expressed as a natural constant with a value of 2.

72. Expressed as the driver's driving stability index; Confirm whether the driver's fatigue level is greater than or equal to a preset threshold. If so, confirm that the driver is driving while fatigued; otherwise, confirm that the driver is not actually driving while fatigued.

2. A muck truck driving display screen control device according to claim 1, characterized in that: The display screen dust cover (12) is composed of a water tank (121) and a dust box (122). The upper surface of the water tank (121) is fixedly connected to the dust box (122). A cleaning nozzle (123) is provided on one side of the water tank (121). An observation glass (124) adapted to the smart display screen (131) is provided on one side of the dust box (122). The lower surface of the observation glass (124) is fixedly connected to the inner wall of the dust box (122). The observation glass (124) and one side of the dust box (122) form a step. The upper end of the inner wall of the dust box (122) is fixedly connected to the translation rail (125). A translation slider (126) is installed on the translation rail (125). The lower surface of the translation slider (126) is fixedly connected to the inner wall of the dust box (122). The transmission shaft is fixedly connected to the cleaning brush (127), a guide groove adapted to the lower end of the cleaning brush (127) is provided on one side of the outer wall of the dustproof box (122), the inner side of the cleaning brush (127) contacts the outer wall of the observation glass (124), and observation holes adapted to the warning light (133) are provided on both sides of the upper end of the dustproof box (122). The display screen fixing box (132) is fixedly connected to the lower surface of the inner wall of the dustproof box (122) through shock-absorbing springs (134), and heat dissipation holes (135) are provided on both sides of the display screen fixing box (132). The lower surface of the mounting base (11) is fixedly connected to the roof of the slag truck through bolts, and the LED display device (13) is electrically connected to the power port of the slag truck through a wire.

3. The muck truck driving display screen control device according to claim 1, characterized in that: The LED control chip (2) includes a display output module (21), a data transmission module (22), a data acquisition module (23), a device control module (24) and a power supply module (25). The output end of the display output module (21) is electrically connected to the intelligent display screen (131). The data acquisition module (23) performs data interaction with the vehicle terminal (4) to collect vehicle speed data and driver driving behavior data. The device control module (24) controls the operation of the vehicle equipment according to the data collected by the data acquisition module (23). The data transmission module (22) transmits the data collected by the data acquisition module (23) to the display output module (21). The data transmission module (22) also performs data interaction with the cloud monitoring platform (3) through a network signal. The power supply module (25) provides power to the display output module (21), the data transmission module (22), the data acquisition module (23) and the device control module (24).

4. A muck truck driving display screen control device according to claim 3, characterized in that: The vehicle terminal (4) includes a vehicle speed acquisition module (41), a driving behavior acquisition module (42), a vehicle compartment environment acquisition module (43), a loading data acquisition module (44), an early warning module (45) and a classification alarm module (46). The vehicle speed acquisition module (41), the driving behavior acquisition module (42), the vehicle compartment environment acquisition module (43) and the loading data acquisition module (44) respectively perform data exchange. The output ends of the driving behavior acquisition module (42), the vehicle compartment environment acquisition module (43) and the loading data acquisition module (44) are respectively connected to the early warning module (45) and the LED control chip (2). Electrical connection, the classification alarm module (46) and the warning module (45) perform data exchange, the vehicle speed acquisition module (41) collects the speed of the muck truck in real time, the driving behavior acquisition module (42) monitors and collects the behavior of the driver in operation, the compartment environment acquisition module (43) detects the air quality in the driving compartment, the loading data acquisition module (44) detects the loading weight of the muck truck and transmits the data to the LED control chip (2) in real time, the warning module (45) respectively performs critical warning on the collected data, and the classification alarm module (46) performs different alarm modes according to different collected data.

5. The muck truck driving display screen control device according to claim 1, characterized in that: The driving data supervision module (31) and the vehicle data management module (32) respectively exchange data with the solution decision module (33), and the solution decision module (33) exchanges data with the driving trajectory management module (34). The driving data supervision module (31), the vehicle data management module (32), the solution decision module (33) and the driving trajectory management module (34) respectively connect to the intelligent terminal (5) for data transmission via the mobile network transmission module (35), and the database management module (36) exchanges data with the solution decision module (33).

6. A muck truck driving display screen control device according to claim 5, characterized in that: The driving data supervision module (31) manages the received driving data respectively. The driving data includes driving speed, vehicle equipment temperature, loading weight and driving behavior to ensure that the data is within a safe range. The vehicle data management module (32) manages the vehicle information of the dump truck respectively. The vehicle information includes license plate number, vehicle frame number, vehicle service life and vehicle insurance. The information received by the vehicle data management module (32) corresponds to the data received by the driving data supervision module (31) one by one. The solution decision module (33) associates the driving data with the vehicle and formulates a targeted driving solution to ensure driving safety. The driving trajectory management module (34) manages the vehicle driving trajectory to facilitate the management of the dump truck system. The database management module (36) stores and manages the data and provides a data basis for the solution customization of the solution decision module (33).

7. The muck truck driving display screen control device according to claim 4, characterized in that: Obtaining the current loading data collected by the loading data collection module (44), and obtaining the current loading weight of the muck truck based on the current loading data; Calculating the maximum speed of the muck truck based on the weight of the currently loaded items; Determining the current loading level of the muck truck according to the weight of the currently loaded items; Extracting historical driving data consistent with the current loading level in the vehicle speed acquisition module (41); obtaining a historical driving speed list of the driver based on the historical driving data; Simultaneously, based on a weight value of the historical driving data in the total historical driving data, analyzing the driving experience value of the driver at the current loading level; Acquiring the cabin data collected by the cabin environment collection module (43), and analyzing the cabin comfort level based on the cabin data; Acquiring historical driving data collected by the driving behavior collection module (42), and acquiring the maximum continuous driving time of the driver at the comfort level; Inputting the maximum driving speed and all historical driving speeds in the historical driving speed list into a preset data axis, and obtaining a speed difference between the maximum driving speed and each historical driving speed; adjusting the maximum travel speed using the speed difference to generate an adjusted speed; generating a recommended driving speed range based on the adjustment speed and the driving experience value; At the same time, the maximum continuous driving time is adjusted according to the driving experience value to generate a recommended driving time; generating a driving plan based on the recommended driving speed range and the recommended driving duration; analyzing whether the driver's driving behavior complies with the driving plan during the driver's driving process; If it does not meet the requirements, the driver's abnormal items are extracted, and the classification alarm module (46) performs corresponding alarm work based on the attributes of the abnormal items.

8. A method for controlling a muck truck driving display screen control device according to any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1: The driving display device (1) is installed on the roof of the muck truck, connected to a power source, and displays information in real time; Step 2: The vehicle terminal (4) monitors and alarms the data in real time, and the LED control chip (2) receives the vehicle and driving information collected by the vehicle terminal (4) and transmits the data to the cloud monitoring platform (3); Step 3: The cloud monitoring platform (3) monitors and stores vehicle driving data, manages the muck trucks and drivers, and transmits the data to the smart terminal (5) in real time.

9. The control method of the muck truck driving display screen control device according to claim 8, characterized in that: In step three, the intelligent terminal (5) is provided with a visual independent window for displaying the information of the muck truck, the speed information and the position of the vehicle in real time, and an operation instruction input button is provided on the visual independent window.

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