Building material transport vehicle management and control method and system

Abstract

The invention relates to a management and control method and system for a building material transport vehicle, and relates to the field of transport vehicle management and control, and the method comprises the steps: obtaining transport vehicle information and transport route information, carrying out the data analysis of the transport vehicle information and the transport route information, and obtaining the driving stability standard of a transport vehicle; the method comprises the following steps: acquiring information of a current to-be-transported building material, building placement information and a current transportation route, determining maximum amplitude data which can be borne by different building materials, screening out target amplitude data meeting a preset condition in different maximum amplitude data, matching the target amplitude data with amplitude data in a driving stability standard, and obtaining a matching result; according to the method and the device, the running speed range is obtained, the to-be-passed abnormal position and the to-be-passed abnormal height are determined, and the to-be-passed running speed range corresponding to the to-be-passed abnormal height is determined, so that the protectiveness of transportation of the building materials is improved, and meanwhile, the transportation efficiency of the building materials is also improved.

Description

Technical Field

[0001] This application relates to the field of transportation vehicle management, and in particular to a method and system for managing construction material transport vehicles. Background Technology

[0002] In the logistics and transportation sector, especially in the long-distance transport of building materials, ensuring the safety and integrity of goods is paramount. Traditional transportation management often relies on drivers' experience and intuition to plan routes, control speeds, and adjust loading methods. However, adverse transportation environments (such as rain or nighttime) can impair drivers' vision, making it difficult for them to promptly detect and adjust speeds when encountering abnormal road conditions. When vehicles travel at normal speeds through abnormal road conditions, the resulting bumps and jolting can easily damage the transported building materials. Furthermore, even under normal transportation conditions, drivers often rely solely on experience to control vehicle speeds through abnormal road conditions. While drastically reducing speed can protect building materials, it also reduces transportation efficiency. Therefore, improving the efficiency of building material transportation while ensuring safety has become a critical issue that urgently needs to be addressed in the field of building material transportation. Summary of the Invention

[0003] To address at least one of the aforementioned technical problems, this application provides a method and system for controlling building material transport vehicles.

[0004] Firstly, this application provides a method for controlling construction material transport vehicles, employing the following technical solution: A method for controlling construction material transport vehicles includes: Obtain transport vehicle information and transport route information. The transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period. The transport route information is the transport route traveled by the transport vehicle when performing different transport tasks. Data analysis is performed on the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle; Obtain information on the building materials to be transported, the placement information of different building materials in the cargo box of the transport vehicle, and the current transport route; Based on the building material information and the building placement information, determine the maximum amplitude data that different building materials can withstand, and filter out the target amplitude data that meets the preset conditions from the different maximum amplitude data; The target amplitude data is matched with the amplitude data in the driving stability standard to obtain the driving speed range of the transport vehicle when driving on different abnormal road surface heights; Based on the location of the abnormal road surface, determine the corresponding abnormal location to be passed in the current transportation route and the abnormal height to be passed corresponding to the abnormal location; The driving speed range corresponding to the abnormal road surface height is determined based on the correspondence between the driving speed range and the abnormal road surface height. The control displays the location of the traffic anomaly and the range of the traffic speed.

[0005] By adopting the above technical solution, comprehensive data on the performance attributes of transport vehicles and information on transport routes over historical periods can be collected and analyzed, thereby accurately constructing the driving stability standards for each transport vehicle. This step not only considers the performance differences of the vehicles themselves but also incorporates the diversity of actual driving routes, laying a solid foundation for subsequent transport safety assessments. Simultaneously, by combining the characteristics of the building materials to be transported and their placement within the cargo container, the system can intelligently calculate the maximum amplitude limits that different materials can withstand during transport. Further filtering of target amplitude data that meets preset safety conditions effectively avoids transport risks caused by differences in material properties, improving the overall safety of the transport process and the level of material protection. By accurately matching the target amplitude data with the amplitude data in the vehicle driving stability standards, the system can dynamically generate the appropriate driving speed range for transport vehicles under different abnormal road surface heights. This innovative matching mechanism ensures the stability and safety of vehicle operation during transport and reduces the risk of cargo damage caused by uneven road surfaces. The system can identify the location and height of abnormal road surfaces in the current transport route in real time and quickly determine the corresponding driving speed range accordingly. This real-time feedback and adjustment mechanism not only improves transportation efficiency but also significantly enhances drivers' ability to cope with complex road conditions, ensuring the safety of building material transportation.

[0006] In another possible implementation, the data analysis of the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle includes: The road surface point cloud data corresponding to the transportation route is determined based on the transportation route information; Feature recognition is performed on the road surface point cloud data to obtain the locations of abnormal road surfaces with different degrees of abnormality in different driving and transportation routes, as well as the abnormal road surface heights corresponding to the abnormal road surface locations; Based on the transport vehicle information, determine the vehicle performance data corresponding to the transport vehicle traveling through the abnormal road surface height under different driving speed conditions; The vehicle performance data input values ​​are preset in the transport vehicle model to simulate bumpy driving, thereby obtaining the driving stability standard of the transport vehicle.

[0007] In another possible implementation, determining the maximum amplitude data that different building materials can withstand based on building material information and building placement information includes: Obtain construction transportation information within the historical period; Based on the building transportation information, determine the different transportation placement information of different building materials in the cargo box of the transport vehicle, and the building amplitude data corresponding to the different transportation placement information when the transport vehicle passes through different abnormal road heights at different driving speeds; An amplitude data standard is generated based on the building materials, the transportation and placement information, and the building amplitude data. By matching the building material information and the building placement information with the amplitude data standard, the maximum amplitude data that different building materials can withstand is obtained.

[0008] In another possible implementation, the control displays the location of the traffic anomaly and the range of traffic speeds, and then further includes: Obtain the real-time location information and real-time driving speed of the transport vehicle; The distance to the abnormality is determined based on the real-time location information and the location of the traffic anomaly. The arrival time of the transport vehicle at the location with the abnormal passage is determined based on the real-time driving speed and the distance to the abnormality. Determine whether the arrival time conforms to a preset time period. If it does, determine the speed change trend of the real-time driving speed within the preset time period, and determine whether the speed change trend is compatible with the passing driving speed range. If they are not compatible, the control operation strategy of the power unit and braking device of the transport vehicle is determined based on the real-time driving speed and the range of passing driving speed, and the power unit and braking device are controlled to operate.

[0009] In another possible implementation, the step of determining the control operation strategy for the transport vehicle's power unit and braking device based on the real-time driving speed and the passing driving speed range, and controlling the power unit and braking device to perform actions, further includes: The system acquires the most recent maintenance time of the power unit and braking device of the transport vehicle, the action data of the power unit and braking device during a preset historical time period, and the vibration data of the power unit and braking device when the transport vehicle is traveling on an abnormal road surface. The action data includes the stroke, direction, and time interval between two adjacent actions, and the direction includes extension and contraction. The runtime is determined based on the current time and the maintenance time. The ratio of the number of extensions to the number of contractions within the preset historical time period is determined based on the direction of a single action; The total distance is determined based on the distance traveled in a single action; The average time interval is determined based on the time interval of the single action; The first maintenance score of the power unit and the braking device is determined based on the running time, ratio, total stroke, average time interval, and their respective coefficients. Based on the first inspection score and the vibration data, it is determined whether the power unit and / or the braking device needs to be inspected.

[0010] In another possible implementation, the determination of whether the power unit and / or the braking device requires maintenance based on the first maintenance score and the vibration data includes: Abnormal waveforms are selected from the vibration data based on preset waveforms, where the preset waveforms characterize abnormal vibrations; The average power maintenance score and the average brake maintenance score of the power unit are determined based on the first maintenance score of the power unit and the braking unit. The second maintenance score of the power unit and the braking unit is determined based on the number of abnormal waveforms, the average power maintenance score and the average braking maintenance score, and their respective coefficients. If the second inspection score reaches the first preset score threshold, then it is determined that the power unit and / or the braking device needs to be inspected.

[0011] In another possible implementation, the method further includes: Output a first prompt message indicating that the power unit and / or the braking device needs maintenance; The power unit and / or the braking device that have reached the second preset score threshold in the first inspection score are identified, and a second prompt message is output based on the number of the power unit and / or the braking device.

[0012] Secondly, this application provides a control system for a building material transport vehicle, which adopts the following technical solution: A control system for a building material transport vehicle, comprising: The first acquisition module is used to acquire transport vehicle information and transport route information. The transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period. The transport route information is the transport route traveled by the transport vehicle when performing different transport tasks. The data analysis module is used to analyze the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle. The second acquisition module is used to acquire information on the building materials to be transported, the building material placement information of different building materials in the cargo box of the transport vehicle, and the current transport route. The amplitude determination module is used to determine the maximum amplitude data that different building materials can withstand based on building material information and building placement information, and to filter out target amplitude data that meet preset conditions from the different maximum amplitude data. The data matching module is used to match the target amplitude data with the amplitude data in the driving stability standard to obtain the driving speed range of the transport vehicle when driving on different abnormal road surface heights; Anomaly determination module is used to determine the location of the anomaly to be passed in the current transportation route and the height of the anomaly to be passed corresponding to the location of the anomaly to be passed, based on the location of the anomaly on the road surface. The speed determination module is used to determine the driving speed range corresponding to the abnormal road surface height based on the correspondence between the driving speed range and the abnormal road surface height. The control display module is used to control and display the location of the traffic anomaly and the range of the traffic speed.

[0013] By adopting the above technical solution, comprehensive data on the performance attributes of transport vehicles and information on transport routes over historical periods can be collected and analyzed, thereby accurately constructing the driving stability standards for each transport vehicle. This step not only considers the performance differences of the vehicles themselves but also incorporates the diversity of actual driving routes, laying a solid foundation for subsequent transport safety assessments. Simultaneously, by combining the characteristics of the building materials to be transported and their placement within the cargo container, the system can intelligently calculate the maximum amplitude limits that different materials can withstand during transport. Further filtering of target amplitude data that meets preset safety conditions effectively avoids transport risks caused by differences in material properties, improving the overall safety of the transport process and the level of material protection. By accurately matching the target amplitude data with the amplitude data in the vehicle driving stability standards, the system can dynamically generate the appropriate driving speed range for transport vehicles under different abnormal road surface heights. This innovative matching mechanism ensures the stability and safety of vehicle operation during transport and reduces the risk of cargo damage caused by uneven road surfaces. The system can identify the location and height of abnormal road surfaces in the current transport route in real time and quickly determine the corresponding driving speed range accordingly. This real-time feedback and adjustment mechanism not only improves transportation efficiency but also significantly enhances drivers' ability to cope with complex road conditions, ensuring the safety of building material transportation.

[0014] In another possible implementation, when the data analysis module performs data analysis on the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle, it is specifically used for: The road surface point cloud data corresponding to the transportation route is determined based on the transportation route information; Feature recognition is performed on the road surface point cloud data to obtain the locations of abnormal road surfaces with different degrees of abnormality in different driving and transportation routes, as well as the abnormal road surface heights corresponding to the abnormal road surface locations; Based on the transport vehicle information, determine the vehicle performance data corresponding to the transport vehicle traveling through the abnormal road surface height under different driving speed conditions; The vehicle performance data input values ​​are preset in the transport vehicle model to simulate bumpy driving, thereby obtaining the driving stability standard of the transport vehicle.

[0015] In another possible implementation, when the amplitude determination module determines the maximum amplitude data that different building materials can withstand based on the building material information and the building placement information, it is specifically used for: Obtain construction transportation information within the historical period; Based on the building transportation information, determine the different transportation placement information of different building materials in the cargo box of the transport vehicle, and the building amplitude data corresponding to the different transportation placement information when the transport vehicle passes through different abnormal road heights at different driving speeds; An amplitude data standard is generated based on the building materials, the transportation and placement information, and the building amplitude data. By matching the building material information and the building placement information with the amplitude data standard, the maximum amplitude data that different building materials can withstand is obtained.

[0016] In another possible implementation, the system further includes: a third acquisition module, a distance determination module, a time determination module, a trend judgment module, and a device control module, wherein, The third acquisition module is used to acquire the real-time location information and real-time driving speed of the transport vehicle. The distance determination module is used to determine the distance to the abnormal location based on the real-time location information and the abnormal location. The time determination module is used to determine the arrival time of the transport vehicle at the location with traffic abnormality based on the real-time driving speed and the distance to the abnormality. The trend judgment module is used to determine whether the arrival time conforms to a preset time period. If it does, it determines the speed change trend of the real-time driving speed within the preset time period and determines whether the speed change trend is compatible with the passing driving speed range. The device control module is used to determine the control operation strategy of the power unit and braking device of the transport vehicle based on the real-time driving speed and the passing driving speed range when they are not compatible, and to control the power unit and braking device to perform actions.

[0017] In another possible implementation, the system further includes: a fourth acquisition module, a maintenance time module, a ratio determination module, a travel determination module, an average value determination module, a first score determination module, and a maintenance judgment module, wherein, The fourth acquisition module is used to acquire the most recent maintenance time of the power unit and braking device of the transport vehicle, the action data of the power unit and braking device during a preset historical time period, and the vibration data of the power unit and braking device when the transport vehicle is traveling on an abnormal road surface. The action data includes the stroke, direction, and time interval between two adjacent actions. The direction includes extension and contraction. The maintenance duration module is used to determine the running duration based on the current time and the maintenance time; The ratio determination module is used to determine the ratio of the number of elongations to the number of contractions within the preset historical time period based on the direction of a single action. The travel determination module is used to determine the total travel based on the travel of the single action; The mean determination module is used to determine the average time interval based on the time interval of the single action; The first score determination module is used to determine the first maintenance score of the power unit and the braking device based on the running time, ratio, total stroke, average time interval and their respective coefficients. The maintenance judgment module is used to determine whether the power unit and / or the braking device need maintenance based on the first maintenance score and the vibration data.

[0018] In another possible implementation, when the maintenance judgment module determines whether the power unit and / or the braking device needs maintenance based on the first maintenance score and the vibration data, it is specifically used for: Abnormal waveforms are selected from the vibration data based on preset waveforms, where the preset waveforms characterize abnormal vibrations; The average power maintenance score and the average brake maintenance score of the power unit are determined based on the first maintenance score of the power unit and the braking unit. The second maintenance score of the power unit and the braking unit is determined based on the number of abnormal waveforms, the average power maintenance score and the average braking maintenance score, and their respective coefficients. If the second inspection score reaches the first preset score threshold, then it is determined that the power unit and / or the braking device needs to be inspected.

[0019] In another possible implementation, the system further includes: a first prompting module and a second prompting module, wherein, The first prompting module is used to output a first prompting message indicating that the power unit and / or the braking device needs maintenance; The second prompt module is used to identify the power unit and / or the braking device whose first inspection score reaches the second preset score threshold, and output second prompt information based on the number of the power unit and / or the braking device.

[0020] Thirdly, this application provides an electronic device that adopts the following technical solution: An electronic device comprising: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one configuration being for: executing a method for controlling a building material transport vehicle as shown in any possible implementation of the first aspect.

[0021] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, when the computer program is executed in a computer, causes the computer to perform a method for controlling a building material transport vehicle as described in any of the first aspects.

[0022] In summary, this application includes at least one of the following beneficial technical effects: The system comprehensively collects and analyzes historical data on vehicle performance attributes and transportation routes, enabling the precise construction of driving stability standards for each vehicle. This step considers not only the performance differences of the vehicles themselves but also the diversity of actual routes, laying a solid foundation for subsequent transportation safety assessments. Simultaneously, by combining the characteristics of the building materials to be transported and their internal cargo layout, the system intelligently calculates the maximum amplitude limits that different materials can withstand during transportation. Further filtering identifies target amplitude data that meets preset safety conditions, effectively avoiding transportation risks caused by differences in material properties and improving the overall safety and material protection level of the transportation process. By precisely matching the target amplitude data with the amplitude data in the vehicle driving stability standards, the system dynamically generates suitable speed ranges for transport vehicles under different abnormal road surface heights. This innovative matching mechanism ensures the stability and safety of vehicle operation during transportation, reducing the risk of cargo damage due to uneven road surfaces. The system can identify the location and height of abnormal road surfaces in the current transportation route in real time and quickly determine the corresponding speed range accordingly. This real-time feedback and adjustment mechanism not only improves transportation efficiency but also significantly enhances drivers' ability to cope with complex road conditions, ensuring the safety of building material transportation. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating a method for controlling a building material transport vehicle according to an embodiment of this application.

[0024] Figure 2 This is a schematic diagram of the control system for a building material transport vehicle according to an embodiment of this application.

[0025] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0026] The present application will be further described in detail below with reference to the accompanying drawings.

[0027] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0028] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0030] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0031] This application provides a method for controlling a building material transport vehicle, executed by an electronic device. This electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application does not impose any limitations on this. Figure 1 As shown, the method includes steps S10, S11, S12, and S13, wherein, Step S10: Obtain information on the transport vehicle and the transport route.

[0032] Among them, the transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period, and the transport route information is the transport route traveled by the transport vehicle when performing different transport tasks.

[0033] In the embodiments of this application, transport vehicle information refers to a collection of various performance attribute data generated by transport vehicles during the performance of transport tasks. This data covers the vehicle's operating status at different times and under different transport tasks, including but not limited to fuel consumption, speed, load capacity, and maintenance records. It comprehensively reflects the vehicle's performance, operating efficiency, and potential problems, serving as a crucial basis for assessing vehicle status and formulating transport plans. Transport route information refers to detailed information about the specific paths and routes traveled by transport vehicles when performing different transport tasks. This typically includes the origin, destination, transit points, route length, road conditions (such as road type, traffic flow, congestion), and potential risk factors (such as accident-prone areas and construction zones). It is used to plan optimal transport routes, assess transport costs, predict transport time, and assist decision-makers in making reasonable transport arrangements. For example, if a truck needs to transport goods from city A to city B, its transport route information might include a detailed description of the route from city A, through expressway G1, then onto provincial highway S2, and finally to city B, as well as real-time road condition information along that route.

[0034] Specifically, a vehicle management system and GPS tracking devices are deployed to ensure that each transport vehicle can upload its performance attribute data, such as location, speed, and fuel consumption, in real time. Data from the vehicle management system and GPS tracking devices is automatically imported into a data center or cloud storage platform using data interfaces or APIs. The data in the data center or cloud storage platform is regularly cleaned, organized, and analyzed to extract transport vehicle information and transport route information.

[0035] Step S11: Perform data analysis on the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle.

[0036] In this embodiment of the application, the road surface point cloud data corresponding to the transportation route is determined based on the transportation route information. Feature recognition is performed on the road surface point cloud data to obtain the abnormal road surface locations with different degrees of abnormality in different transportation routes and the abnormal road surface heights corresponding to the abnormal road surface locations. Based on the transportation vehicle information, the vehicle performance data corresponding to the transportation vehicle driving through the abnormal road surface height under different driving speed conditions is determined. The vehicle performance data is input into a preset transportation vehicle model to simulate bumpy driving and obtain the driving stability standard of the transportation vehicle.

[0037] In the embodiments of this application, the preset transport vehicle model is a three-dimensional model created in advance based on the three-dimensional data of the train itself and the vehicle's own operating attributes.

[0038] Step S12: Obtain information on the building materials to be transported, the placement information of different building materials in the cargo box of the transport vehicle, and the current transport route.

[0039] For the embodiments of this application, building material information is a collection of specific information about various building materials currently planned or about to be transported. This includes, but is not limited to, the type of building material (such as steel, cement, bricks, etc.), quantity, size, weight, special requirements (such as fragility, moisture resistance, etc.), and possible loading sequence. Building placement information refers to detailed information on the specific placement and method of different building materials within the cargo compartment of the transport vehicle. This includes the loading position, stacking method, fixing method, and spacing between each building material, to ensure the stability and safety of the goods during transportation.

[0040] Specifically, a warehouse management system (WMS) or transportation management system (TMS) is used to track and manage building material information, including type, quantity, and size. Then, GPS and GIS technologies are used to obtain real-time traffic information for the current transportation route, and combined with historical data for analysis to select the optimal driving path. The system pre-sets placement rules and templates for building materials, and automatically generates building placement plans based on cargo information and vehicle loading capacity.

[0041] Step S13: Determine the maximum amplitude data that different building materials can withstand based on building material information and building placement information, and filter out the target amplitude data that meets the preset conditions from the different maximum amplitude data.

[0042] In this embodiment of the application, building transportation information within a historical period is obtained. Then, based on the building transportation information, different transportation placement information of different building materials in the cargo box of the transport vehicle and the building amplitude data corresponding to different transportation placement information when the transport vehicle passes through different abnormal road heights at different driving speeds are determined. Then, an amplitude data standard is generated based on the building materials, transportation placement information and building amplitude data. Then, the building material information and building placement information are matched with the amplitude data standard to obtain the maximum amplitude data that different building materials can withstand.

[0043] Step S14: Match the target amplitude data with the amplitude data in the driving stability standard to obtain the driving speed range corresponding to the transport vehicle when driving on different abnormal road surface heights.

[0044] Specifically, driving stability standards are stored in a database, with each entry containing abnormal road surface height, minimum permissible amplitude, maximum permissible amplitude, and recommended driving speed range. A query script is written that takes target amplitude data as input and queries the database for all entries whose amplitude range contains the target amplitude. For each query result, the corresponding driving speed range is directly read or calculated.

[0045] Step S15: Determine the location of the abnormal road surface and the corresponding height of the abnormal road surface in the current transportation route.

[0046] Step S16: Determine the driving speed range corresponding to the abnormal road surface height based on the correspondence between the driving speed range and the abnormal road surface height.

[0047] Step S17: Control the display of the abnormal traffic location and the range of traffic speed.

[0048] In this embodiment, the system comprehensively collects and analyzes historical data on vehicle performance attributes and transportation routes, thereby accurately constructing a driving stability standard for each vehicle. This step considers not only the performance differences of the vehicles themselves but also the diversity of actual routes, laying a solid foundation for subsequent transportation safety assessments. Simultaneously, by combining the characteristics of the building materials to be transported and their internal cargo layout, the system can intelligently calculate the maximum amplitude limits that different materials can withstand during transportation. Further filtering of target amplitude data that meets preset safety conditions effectively avoids transportation risks caused by differences in material properties, improving the overall safety and material protection level of the transportation process. By precisely matching the target amplitude data with the amplitude data in the vehicle driving stability standard, the system can dynamically generate the appropriate driving speed range for the transport vehicle under different abnormal road surface heights. This innovative matching mechanism ensures the stability and safety of vehicle operation during transportation, reducing the risk of cargo damage due to uneven road surfaces. The system can identify the location and height of abnormal road surfaces in the current transportation route in real time and quickly determine the corresponding driving speed range accordingly. This real-time feedback and adjustment mechanism not only improves transportation efficiency but also significantly enhances drivers' ability to cope with complex road conditions, ensuring the safety of building material transportation.

[0049] One possible implementation of this application embodiment controls the display of abnormal traffic locations and the range of traffic speeds, and then further includes: acquiring the real-time location information and real-time speed of the transport vehicle; determining the distance to the abnormal location based on the real-time location information and the abnormal traffic location; determining the arrival time of the transport vehicle at the abnormal traffic location based on the real-time speed and the distance to the abnormal location; determining whether the arrival time conforms to a preset time period; if it does, determining the speed change trend of the real-time speed within the preset time period; and determining whether the speed change trend is compatible with the range of traffic speeds; if they are not compatible, determining the control operation strategy of the transport vehicle's power unit and braking device based on the real-time speed and the range of traffic speeds, and controlling the power unit and braking device to perform actions.

[0050] One possible implementation of this application involves determining a control operation strategy for the power unit and braking device of a transport vehicle based on real-time driving speed and the range of passing driving speeds, and controlling the power unit and braking device to perform actions. Prior to this, the method includes: acquiring the most recent maintenance time of the power unit and braking device of the transport vehicle, action data of the power unit and braking device over a preset historical time period, and vibration data of the power unit and braking device when the transport vehicle is traveling on abnormal road surfaces. The action data includes the stroke, direction, and time interval between two adjacent actions. The direction includes extension and contraction. The running time is determined based on the current time and maintenance time. The ratio of the number of extensions to the number of contractions within the preset historical time period is determined based on the direction of the single action. The total stroke is determined based on the stroke of the single action. The average time interval is determined based on the time interval of the single action. A first maintenance score for the power unit and braking device is determined based on the running time, the ratio, the total stroke, the average time interval, and their corresponding coefficients. Finally, the power unit and / or braking device are determined to require maintenance based on the first maintenance score and the vibration data.

[0051] In this embodiment, each time the operator inspects the power unit and braking device, the inspection time is stored in the internal storage medium of the electronic device or in the server. Therefore, the electronic device can obtain the inspection time of each power unit and braking device. The preset historical time period can be the past seven days, fifteen days, or other time periods. The action data of the power unit and braking device can be collected by sensors and stored in the electronic device. The action data of the preset historical time period characterizes the operating status of the power unit and braking device. Vibration sensors can be installed at the braking device and power unit to collect vibration data. The vibration sensors are connected to the electronic device through wires so that the electronic device can acquire vibration data.

[0052] In the embodiments of this application, the electronic device can obtain the current time through the internal clock chip, and then the difference between the current time and the maintenance time can be used to obtain the running time of each power unit and braking device after the last maintenance.

[0053] In this embodiment, one extension and contraction can be considered as one reciprocating motion. More reciprocating motions indicate greater lubrication loss to the power and braking devices. Therefore, the electronic equipment determines the ratio of extension to contraction counts. The closer the ratio is to 1, the more reciprocating motions it represents, resulting in more severe lubrication loss and a greater need for maintenance. Conversely, a ratio farther from 1 indicates more extension or contraction counts, meaning more unidirectional movement and less lubrication loss. When determining the ratio, the electronic equipment can always use the smaller number of reciprocating motions as the numerator, ensuring the ratio is less than 1, thus making the ratio directly proportional to the degree of maintenance required.

[0054] In the embodiments of this application, the electronic device sums up the stroke of all single actions to obtain the total stroke. The larger the total stroke, the more serious the lubrication loss, the lower the working durability, and the more maintenance is required.

[0055] In the embodiments of this application, the shorter the time interval between two adjacent actions, the more violent the actions of the power device and the braking device are. Therefore, the electronic device calculates the average time interval based on the average calculation formula of all time intervals of each power device and the braking device within a preset historical time period. The shorter the average value, the more violent the actions of the power device and the braking device are within the preset historical time period, and thus the more maintenance is required.

[0056] In this embodiment, since running time, ratio, total travel, and average time interval are all important factors affecting the maintenance requirements of the power unit and braking device, and their influence varies, staff can pre-set different coefficients for these four factors. The electronic equipment then performs a weighted calculation on the data and coefficients of these four factors to obtain the first maintenance score for each power unit and braking device. Calculating the maintenance score comprehensively using these factors is more accurate and intuitive. Because the average time interval is inversely proportional to the maintenance requirements, the electronic equipment can use the reciprocal of the average time interval for weighted calculation, thus making the first maintenance score more reasonable.

[0057] In the embodiments of this application, after determining the first maintenance score of each power unit and braking device, the current status of each power unit and braking device is different. Therefore, the electronic equipment performs a deeper analysis based on the first maintenance scores of all power units and braking devices and vibration data, so as to accurately determine whether maintenance is required.

[0058] One possible implementation of this application embodiment, determining whether a power unit and / or braking device needs maintenance based on a first maintenance score and vibration data, includes: filtering abnormal waveforms from vibration data based on a preset waveform, the preset waveform representing abnormal vibration; determining the average power maintenance score and the average braking maintenance score of the power unit based on the first maintenance score of the power unit and the braking device; determining a second maintenance score of the power unit and the braking device based on the number of abnormal waveforms, the average power maintenance score, the average braking maintenance score, and their respective corresponding coefficients; if the second maintenance score reaches a first preset score threshold, then determining that the power unit and / or braking device needs maintenance.

[0059] In this embodiment, the electronic device maps vibration data onto a preset coordinate system, which is a coordinate system relating to the amplitude over time. The electronic device then scans a preset waveform on the coordinate system, sequentially calculating the similarity to the vibration data to filter out abnormal waveforms. The similarity can be calculated by taking the cosine distance between the preset waveform and each segment of the amplitude data. More abnormal waveforms indicate more frequent abnormal vibrations on the stage, reducing the balancing effect and requiring maintenance. Abnormal vibrations may be caused by abnormalities at the corresponding hinges of the power unit and braking device, such as foreign objects being stuck, poor lubrication, or the power unit and braking device experiencing extension / retraction difficulties.

[0060] In the embodiments of this application, the electronic device calculates the average of the first maintenance scores of all power units and braking devices using the average value calculation formula to obtain the average maintenance score. The average maintenance score represents the overall maintenance requirement of all power units and braking devices. The higher the average maintenance score, the more maintenance is required.

[0061] In this embodiment, the number of abnormal waveforms and the average maintenance score are both factors affecting whether the power unit and braking device need maintenance, and their influence varies. Therefore, the operators set different coefficients for the number of abnormal waveforms and the average maintenance score. Then, the electronic equipment performs a weighted calculation on the number of abnormal waveforms, the average maintenance score, and their respective coefficients to obtain the second maintenance score for the power unit and braking device. A more accurate determination of the second maintenance score for the power unit and braking device is achieved by combining vibration data with the overall operating conditions of all power units and braking devices.

[0062] In this embodiment, a first preset score threshold serves as the dividing point for whether the second maintenance score is too high. Reaching the first preset score threshold indicates that the second maintenance score is too high, suggesting that the power unit and braking device require timely maintenance. The electronic device compares the determined second maintenance score with the first preset score threshold. If the score reaches the first preset score threshold, it determines that the power unit and braking device require timely maintenance. If the score does not reach the threshold, it indicates that the power unit and braking device can still operate and do not require maintenance.

[0063] One possible implementation of this application embodiment is to output a first prompt message indicating that the power unit and / or braking device needs maintenance, determine the power unit and / or braking device whose first maintenance score reaches a second preset score threshold, and output a second prompt message based on the number of the power unit and / or braking device.

[0064] The second preset scoring threshold represents the dividing point where the power unit and braking device are in poor working condition. The electronic equipment compares the first inspection score of each power unit and braking device with the second preset scoring threshold to determine the target power unit and braking device that has reached the second preset scoring threshold, and assigns a number to the target power unit and braking device. That is, the first prompt message is the number of the target power unit and braking device, which can also be sent to the terminal devices of relevant personnel. The display device of the central control platform can display a virtual structural model of the power unit and braking device, and then mark the location of the target power unit and braking device on the virtual structural model according to the number of the target power unit and braking device, thereby prompting relevant personnel. By outputting the first prompt message, relevant personnel can promptly know that the power unit and braking device needs timely maintenance. By outputting the second prompt message, relevant personnel can clearly and intuitively know the target power unit and braking device that needs timely maintenance.

[0065] The above embodiments describe a method for controlling a building material transport vehicle from the perspective of process flow. The following embodiments describe a control system for a building material transport vehicle from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0066] This application provides a control system 20 for a building material transport vehicle, such as... Figure 2 As shown, the control system 20 for the building material transport vehicle may specifically include: The first acquisition module 21 is used to acquire transport vehicle information and transport route information. The transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period, and the transport route information is the transport route traveled by the transport vehicle when performing different transport tasks. The data analysis module 22 is used to analyze the information of transport vehicles and transport routes to obtain the driving stability standards of transport vehicles. The second acquisition module 23 is used to acquire information on the building materials to be transported, information on the placement of different building materials in the cargo box of the transport vehicle, and the current transport route. The amplitude determination module 24 is used to determine the maximum amplitude data that different building materials can withstand based on building material information and building placement information, and to filter out the target amplitude data that meets the preset conditions from the different maximum amplitude data. The data matching module 25 is used to match the target amplitude data with the amplitude data in the driving stability standard to obtain the driving speed range corresponding to the transport vehicle when driving on different abnormal road surface heights; The anomaly determination module 26 is used to determine the location of the anomaly to be passed and the height of the anomaly to be passed in the current transportation route based on the location of the anomaly on the road surface. Speed ​​determination module 27 is used to determine the range of driving speeds to be passed corresponding to the abnormal road height based on the correspondence between the driving speed range and the abnormal road height. The control display module 28 is used to control and display the location of traffic abnormalities and the range of traffic speeds.

[0067] In one possible implementation of this application embodiment, when the data analysis module 22 performs data analysis on the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle, it is specifically used for: Determine the road surface point cloud data corresponding to the transportation route based on the transportation route information; Feature recognition is performed on road point cloud data to obtain the locations of abnormal road surfaces with different degrees of abnormality in different driving and transportation routes, as well as the abnormal road surface heights corresponding to the abnormal road surface locations; Based on the information of the transport vehicle, determine the vehicle performance data corresponding to the transport vehicle when it travels through abnormal road surface heights under different driving speeds; By inputting vehicle performance data into a preset transport vehicle model and simulating bumpy driving, the driving stability standard of the transport vehicle is obtained.

[0068] In another possible implementation of this application embodiment, when the amplitude determination module 24 determines the maximum amplitude data that different building materials can withstand based on building material information and building placement information, it is specifically used for: Obtain construction transportation information within a historical time period; Based on the construction transportation information, determine the different transportation placement information of different building materials in the cargo box of the transport vehicle, as well as the corresponding building vibration data when the transport vehicle passes through different abnormal road heights at different driving speeds; Amplitude data standards are generated based on building materials, transportation and placement information, and building amplitude data. By matching building material information and building placement information with amplitude data standards, the maximum amplitude data that different building materials can withstand is obtained.

[0069] In another possible implementation of this application embodiment, system 20 further includes: a third acquisition module, a distance determination module, a time determination module, a trend judgment module, and a device control module, wherein... The third acquisition module is used to acquire the real-time location information and real-time driving speed of the transport vehicle; The distance determination module is used to determine the distance to the anomaly based on real-time location information and the location of the passage anomaly; The time determination module is used to determine the arrival time of the transport vehicle at the location with abnormal traffic based on the real-time driving speed and the distance to the abnormality. The trend judgment module is used to determine whether the arrival time conforms to the preset time period. If it does, it determines the speed change trend of the real-time driving speed within the preset time period and determines whether the speed change trend is compatible with the range of passing driving speeds. The device control module is used to determine the control operation strategy of the power unit and braking device of the transport vehicle based on the real-time driving speed and the range of passing driving speed when they are not compatible, and to control the power unit and braking device to perform actions.

[0070] In another possible implementation of this application embodiment, system 20 further includes: a fourth acquisition module, a maintenance time module, a ratio determination module, a travel determination module, an average value determination module, a first score determination module, and a maintenance judgment module, wherein... The fourth acquisition module is used to acquire the most recent maintenance time of the power unit and braking device of the transport vehicle, the action data of the power unit and braking device during a preset historical time period, and the vibration data of the power unit and braking device when the transport vehicle is driving on abnormal road surface height. The action data includes the stroke and direction of a single action and the time interval between two adjacent actions. The direction includes extension and contraction. The maintenance duration module is used to determine the running time based on the current time and the maintenance time. The ratio determination module is used to determine the ratio of the number of extensions to the number of contractions within a preset historical time period based on the direction of a single action; The stroke determination module is used to determine the total stroke based on the stroke of a single action; The mean determination module is used to determine the average time interval based on the time interval of a single action; The first score determination module is used to determine the first maintenance score of the power unit and the braking device based on the running time, ratio, total stroke, average time interval and their respective coefficients. The maintenance judgment module is used to determine whether the power unit and / or braking device needs maintenance based on the first maintenance score and vibration data.

[0071] In another possible implementation of this application embodiment, when the maintenance judgment module determines whether the power unit and / or braking device needs maintenance based on the first maintenance score and vibration data, it is specifically used for: Abnormal waveforms are selected from vibration data based on preset waveforms, and the preset waveforms characterize abnormal vibrations. The average power maintenance score and the average brake maintenance score of the power unit are determined based on the first maintenance score of the power unit and the braking unit. The second maintenance score of the power unit and the braking unit is determined based on the number of abnormal waveforms, the average power maintenance score and the average braking maintenance score, and their respective coefficients. If the second inspection score reaches the first preset score threshold, then it is determined that the power unit and / or braking unit needs to be inspected.

[0072] In another possible implementation of this application embodiment, system 20 further includes: a first prompting module and a second prompting module, wherein... The first prompt module is used to output the first prompt information indicating that the power unit and / or braking unit needs maintenance. The second prompt module is used to identify the power unit and / or braking unit whose first inspection score reaches the second preset score threshold, and output the second prompt information based on the number of the power unit and / or braking unit.

[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the control system 20 for a building material transport vehicle described above can be referred to the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0074] This application provides an electronic device, such as... Figure 3 As shown, Figure 3 The illustrated electronic device 300 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 30 does not constitute a limitation on the embodiments of this application.

[0075] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0076] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0077] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0078] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0079] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0080] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0081] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0082] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for controlling building material transport vehicles, characterized in that, include: Obtain transport vehicle information and transport route information. The transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period. The transport route information is the transport route traveled by the transport vehicle when performing different transport tasks. Data analysis is performed on the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle; The process of analyzing the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle includes: The road surface point cloud data corresponding to the transportation route is determined based on the transportation route information; Feature recognition is performed on the road surface point cloud data to obtain the locations of abnormal road surfaces with different degrees of abnormality in different driving and transportation routes, as well as the abnormal road surface heights corresponding to the abnormal road surface locations; Based on the transport vehicle information, determine the vehicle performance data corresponding to the transport vehicle traveling through the abnormal road surface height under different driving speed conditions; The vehicle performance data input values ​​are preset in the transport vehicle model to simulate bumpy driving, thereby obtaining the driving stability standard of the transport vehicle. Obtain information on the building materials to be transported, the placement information of different building materials in the cargo box of the transport vehicle, and the current transport route; Based on the building material information and the building placement information, determine the maximum amplitude data that different building materials can withstand, and filter out the target amplitude data that meets the preset conditions from the different maximum amplitude data; The target amplitude data is matched with the amplitude data in the driving stability standard to obtain the driving speed range of the transport vehicle when driving on different abnormal road surface heights; Based on the location of the abnormal road surface, determine the corresponding abnormal location to be passed in the current transportation route and the abnormal height to be passed corresponding to the abnormal location; The driving speed range corresponding to the abnormal road surface height is determined based on the correspondence between the driving speed range and the abnormal road surface height. The control displays the location of the traffic anomaly and the range of the traffic speed.

2. The method for controlling a building material transport vehicle according to claim 2, characterized in that, The step of determining the maximum amplitude data that different building materials can withstand based on building material information and building placement information includes: Obtain construction transportation information within the historical period; Based on the building transportation information, determine the different transportation placement information of different building materials in the cargo box of the transport vehicle, and the building amplitude data corresponding to the different transportation placement information when the transport vehicle passes through different abnormal road heights at different driving speeds; An amplitude data standard is generated based on the building materials, the transportation and placement information, and the building amplitude data. By matching the building material information and the building placement information with the amplitude data standard, the maximum amplitude data that different building materials can withstand is obtained.

3. The method for controlling a building material transport vehicle according to claim 3, characterized in that, The control displays the location of the traffic anomaly and the range of travel speeds, and then further includes: Obtain the real-time location information and real-time driving speed of the transport vehicle; The distance to the abnormality is determined based on the real-time location information and the location of the traffic anomaly. The arrival time of the transport vehicle at the location with the abnormal passage is determined based on the real-time driving speed and the distance to the abnormality. Determine whether the arrival time conforms to a preset time period. If it does, determine the speed change trend of the real-time driving speed within the preset time period, and determine whether the speed change trend is compatible with the passing driving speed range. If they are not compatible, the control operation strategy of the power unit and braking device of the transport vehicle is determined based on the real-time driving speed and the range of passing driving speed, and the power unit and braking device are controlled to operate.

4. The method for controlling a building material transport vehicle according to claim 4, characterized in that, The step of determining the control operation strategy for the power unit and braking device of the transport vehicle based on the real-time driving speed and the passing driving speed range, and controlling the power unit and braking device to perform actions, further includes: The system acquires the most recent maintenance time of the power unit and braking device of the transport vehicle, the action data of the power unit and braking device during a preset historical time period, and the vibration data of the power unit and braking device when the transport vehicle is traveling on an abnormal road surface. The action data includes the stroke, direction, and time interval between two adjacent actions, and the direction includes extension and contraction. The runtime is determined based on the current time and the maintenance time. The ratio of the number of extensions to the number of contractions within the preset historical time period is determined based on the direction of a single action; The total distance is determined based on the distance traveled in a single action; The average time interval is determined based on the time interval of the single action; The first maintenance score of the power unit and the braking device is determined based on the running time, ratio, total stroke, average time interval, and their respective coefficients. Based on the first inspection score and the vibration data, it is determined whether the power unit and / or the braking device needs to be inspected.

5. The method for controlling a building material transport vehicle according to claim 5, characterized in that, The determination of whether the power unit and / or the braking device needs maintenance based on the first maintenance score and the vibration data includes: Abnormal waveforms are selected from the vibration data based on preset waveforms, where the preset waveforms characterize abnormal vibrations; The average power maintenance score and the average brake maintenance score of the power unit are determined based on the first maintenance score of the power unit and the braking unit. The second maintenance score of the power unit and the braking unit is determined based on the number of abnormal waveforms, the average power maintenance score and the average braking maintenance score, and their respective coefficients. If the second inspection score reaches the first preset score threshold, then it is determined that the power unit and / or the braking device needs to be inspected.

6. The method for controlling a building material transport vehicle according to claim 6, characterized in that, The method further includes: Output a first prompt message indicating that the power unit and / or the braking device needs maintenance; The power unit and / or the braking device that have reached the second preset score threshold in the first inspection score are identified, and a second prompt message is output based on the number of the power unit and / or the braking device.

7. A control system for a building material transport vehicle, characterized in that, include: The first acquisition module is used to acquire transport vehicle information and transport route information. The transport vehicle information is the vehicle performance attribute data information when performing different transport tasks within a historical period. The transport route information is the transport route traveled by the transport vehicle when performing different transport tasks. The data analysis module is used to analyze the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle. When the data analysis module analyzes the transport vehicle information and transport route information to obtain the driving stability standard of the transport vehicle, it is specifically used for: The road surface point cloud data corresponding to the transportation route is determined based on the transportation route information; Feature recognition is performed on the road surface point cloud data to obtain the locations of abnormal road surfaces with different degrees of abnormality in different driving and transportation routes, as well as the abnormal road surface heights corresponding to the abnormal road surface locations; Based on the transport vehicle information, determine the vehicle performance data corresponding to the transport vehicle traveling through the abnormal road surface height under different driving speed conditions; The vehicle performance data input values ​​are preset in the transport vehicle model to simulate bumpy driving, thereby obtaining the driving stability standard of the transport vehicle. The second acquisition module is used to acquire information on the building materials to be transported, the building material placement information of different building materials in the cargo box of the transport vehicle, and the current transport route. The amplitude determination module is used to determine the maximum amplitude data that different building materials can withstand based on building material information and building placement information, and to filter out target amplitude data that meet preset conditions from the different maximum amplitude data. The data matching module is used to match the target amplitude data with the amplitude data in the driving stability standard to obtain the driving speed range of the transport vehicle when driving on different abnormal road surface heights; Anomaly determination module is used to determine the location of the anomaly to be passed in the current transportation route and the height of the anomaly to be passed corresponding to the location of the anomaly to be passed, based on the location of the anomaly on the road surface. The speed determination module is used to determine the driving speed range corresponding to the abnormal road surface height based on the correspondence between the driving speed range and the abnormal road surface height. The control display module is used to control and display the location of the traffic anomaly and the range of the traffic speed.

8. An electronic device, characterized in that, It includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application being used to execute a control method for a building material transport vehicle according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed in the computer, the computer is instructed to perform the control method for a building material transport vehicle as described in any one of claims 1 to 6.

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