Construction vehicle intelligent supervision system, method and device

Abstract

The embodiment of the invention provides a construction vehicle intelligent supervision system, method and device. The system comprises vehicle-mounted comprehensive equipment, a vehicle load sensor, a vehicle intelligent identification barrier gate, a data acquisition unit, a data processing unit, a memory and an interactive interface. The vehicle-mounted comprehensive equipment is used for monitoring the driving track and position of a construction vehicle and the driving behavior of a driver in real time and transmitting warning information; the vehicle load sensor is used for monitoring the loading condition of the vehicle in real time; the intelligent vehicle identification barrier gate is used for collecting information of vehicles entering a construction area; the data acquisition unit is used for acquiring data provided by the vehicle-mounted comprehensive equipment and the load sensor; the data processing unit is used for analyzing the operation efficiency and abnormal conditions of the construction vehicle according to the received data; the vehicle state can be fed back in real time, the construction management efficiency is improved, illegal operation and potential safety hazards are effectively reduced, and the construction safety and the resource utilization efficiency are improved.

Description

Technical Field

[0001] The present application relates to the field of construction vehicle management, and specifically to an intelligent supervision system, method and device for construction vehicles. Background Art

[0002] Smart transportation is an important part of smart city construction. In the current smart transportation system, the focus of platform construction is mainly on service management departments, with the goal of optimizing the overall traffic mobility of the city. Such systems are usually based on large-scale data collection and intelligent management of macro-traffic scenarios, such as traffic control of urban road networks and optimization of public transportation operations. However, the construction of smart transportation platforms in micro-traffic scenarios is still insufficient, especially in the development and construction process of urban areas, this problem is more prominent.

[0003] Area development usually involves high investment and a long construction period, with a complex construction process involving some roads open to traffic and others still under construction. This phased development model significantly increases the difficulty of managing construction vehicles. However, there is currently a lack of smart management solutions for construction vehicles during area development and construction, which has led to the following problems in actual management.

[0004] First, the lack of regional control capabilities is a major flaw in existing technologies. Existing systems for monitoring construction vehicles are usually limited to recording the vehicle's driving trajectory and entry and exit times, and fail to accurately restrict the activity area of ​​construction vehicles through electronic fence technology. This lack of precise control management method can easily lead to vehicles operating in unauthorized areas, which not only increases the possibility of illegal operations, but also greatly increases the difficulty of management.

[0005] Secondly, the limitations of data analysis capabilities also affect the application value of existing systems. Current systems focus on simple recording and tracking of vehicle trajectories and historical data, and fail to conduct in-depth analysis based on multi-dimensional data such as vehicle efficiency and load conditions. Therefore, it is difficult for managers to obtain comprehensive decision support from the data. This limitation directly affects the scheduling efficiency of construction projects and the rationality of resource allocation.

[0006] Finally, the existing system has a significant lag in emergency response. For emergencies such as overloading and illegal operation of construction vehicles, the existing system usually lacks a rapid response and early warning mechanism. When illegal behavior occurs, the system cannot notify the relevant management responsible persons in time, resulting in potential risks that cannot be controlled in time, thereby increasing safety hazards during the construction process. Summary of the invention

[0007] In response to the problems in the prior art, the present application provides a construction vehicle intelligent supervision system, method and device, which can provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency.

[0008] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0009] According to a first aspect of an embodiment of the present application, the present application provides a construction vehicle intelligent supervision system, including an on-board integrated device, a vehicle load sensor, a vehicle intelligent identification barrier, a data acquisition unit, a data processing unit, a memory, and an interactive interface;

[0010] The vehicle-mounted integrated equipment is used to monitor the driving track and position of the construction vehicle, the driver's driving behavior, and transmit warning information in real time;

[0011] The vehicle load sensor is used to monitor the loading condition of the vehicle in real time;

[0012] The vehicle intelligent identification gate is installed at the entrance of the construction enclosure area to collect information on vehicles entering the construction area;

[0013] The data acquisition unit is used to collect data provided by the vehicle-mounted integrated equipment and the load sensor, and transmit the data to the data processing unit;

[0014] The data processing unit is used to analyze the operation efficiency and abnormal conditions of the construction vehicle according to the received data;

[0015] Wherein, the interactive interface includes:

[0016] Driver interface for submitting abnormal behavior reports and receiving warning messages;

[0017] The project manager management interface is used to provide the driving tracks and positions of all construction vehicles, as well as the analysis results of the data processing unit, and is equipped with an option to send warning messages;

[0018] The administrator management interface is used to provide the driving trajectory and location of all construction vehicles and the analysis results of the data processing unit, and is provided with electronic fence setting options, load limit options and warning information sending options, and displays the driver abnormality report based on the received driver driving behavior.

[0019] According to a second aspect of the embodiment of the present application, the present application provides a construction vehicle intelligent supervision method, comprising:

[0020] Authentication of construction vehicles arriving at the construction site entrance is performed through the vehicle intelligent identification gate;

[0021] If the identity verification is successful, the on-board integrated equipment will collect the real-time location information of the construction vehicle;

[0022] After determining that the construction vehicle has entered the work area according to the location information, the loading condition of the construction vehicle is recorded by the vehicle load sensor, and the driving behavior of the driver obtained by the vehicle integrated equipment is recorded for the vehicle use condition;

[0023] After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0024] According to any embodiment of the present application, the identity verification of the construction vehicle arriving at the entrance of the construction site by the vehicle intelligent identification gate includes:

[0025] Use an RFID card reader or camera to identify vehicle information, including license plate number, vehicle model, and entry and exit time;

[0026] If the information verification is passed, the intelligent identification barrier is controlled to be lifted.

[0027] According to any implementation of the present application, the determining the abnormal condition of the construction vehicle includes:

[0028] The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein:

[0029] In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface;

[0030] In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface;

[0031] In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

[0032] According to any embodiment of the present application, it also includes:

[0033] Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes:

[0034] Basic report information, including project name, warning generation time, and report generation time;

[0035] Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events;

[0036] Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

[0037] According to any implementation of the present application, determining the operating efficiency of the construction vehicle includes:

[0038] Determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time location information of the construction vehicle, the loading status of the construction vehicle and the driving behavior of the driver;

[0039] Determining a vehicle utilization rate based on the actual working time of the vehicle and the total operating time;

[0040] Determining the vehicle transportation efficiency according to the actual working time of the vehicle and the total transportation weight;

[0041] Determine the vehicle idle rate according to the idle running time and the total running time;

[0042] The comprehensive operation efficiency of the construction vehicle is determined according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and the efficiency evaluation level of the current construction vehicle is determined according to a preset efficiency evaluation rule.

[0043] According to a third aspect of the embodiments of the present application, the present application provides an intelligent supervision device for construction vehicles, comprising:

[0044] The identity verification module is used to verify the identity of the construction vehicles arriving at the construction site entrance through the vehicle intelligent identification gate;

[0045] The location collection module is used to: collect the real-time location information of the construction vehicle from the vehicle-mounted integrated equipment when the identity authentication is successful;

[0046] A parameter acquisition module is used to: after determining that the construction vehicle has entered the work area according to the position information, record the loading condition of the construction vehicle through the vehicle load sensor, and record the vehicle usage condition through the driver's driving behavior obtained by the vehicle-mounted integrated equipment;

[0047] The supervision and analysis module is used to: after determining that the construction vehicle has left the work area based on the location information, authenticate the construction vehicle arriving at the construction site exit through the vehicle intelligent identification barrier, and if the identity authentication is successful, determine the operating efficiency and abnormal conditions of the construction vehicle based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0048] According to any implementation of the present application, the identity authentication module includes:

[0049] A vehicle identification unit is used to: use an RFID card reader or a camera to identify vehicle information, wherein the vehicle information includes a license plate number, a vehicle model, and an entry and exit time;

[0050] The vehicle passing unit is used to: if the information verification is passed, control the intelligent identification barrier to be lifted.

[0051] According to any implementation of the present application, the supervision and analysis module determines the abnormal situation of the construction vehicle, specifically for:

[0052] The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein:

[0053] In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface;

[0054] In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface;

[0055] In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

[0056] According to any embodiment of the present application, a report sound field module is also included, which is specifically used for:

[0057] Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes:

[0058] Basic report information, including project name, warning generation time, and report generation time;

[0059] Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events;

[0060] Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

[0061] According to any implementation of the present application, the supervision and analysis module determines the operating efficiency of the construction vehicle, including:

[0062] A parameter determination unit, used to determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time position information of the construction vehicle, the loading condition of the construction vehicle and the driving behavior of the driver;

[0063] The efficiency calculation unit is used to: determine the vehicle utilization rate according to the actual working time of the vehicle and the total operating time, determine the vehicle transportation efficiency according to the actual working time of the vehicle and the total transportation weight, determine the vehicle idle rate according to the no-load operating time and the total operating time, determine the comprehensive operating efficiency of the construction vehicle according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and determine the efficiency evaluation level of the current construction vehicle according to a preset efficiency evaluation rule.

[0064] According to the fourth aspect of the embodiments of the present application, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the intelligent supervision method for construction vehicles when executing the program.

[0065] According to the fifth aspect of the embodiment of the present application, the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the intelligent supervision method for construction vehicles are implemented.

[0066] According to the sixth aspect of the embodiments of the present application, the present application provides a computer program product, including a computer program / instruction, which implements the steps of the intelligent supervision method for construction vehicles when executed by a processor.

[0067] It can be seen from the above technical scheme that the present application provides a construction vehicle intelligent supervision system, method and device, the system includes a vehicle-mounted integrated device, a vehicle load sensor, a vehicle intelligent identification gate, a data acquisition unit, a data processing unit, a memory and an interactive interface; the vehicle-mounted integrated device is used to monitor the driving trajectory and position of the construction vehicle, the driver's driving behavior, and transmit warning information in real time; the vehicle load sensor is used to monitor the loading condition of the vehicle in real time; the vehicle intelligent identification gate is installed at the entrance of the construction fence area, and is used to collect information from vehicles entering the construction area; the data acquisition unit is used to collect data provided by the vehicle-mounted integrated device and the load sensor, and transmit it to the data processing unit; the data processing unit is used to analyze the operating efficiency and abnormal conditions of the construction vehicle according to the received data; the interactive interface includes a driver operation interface, a project manager management interface and an administrator management interface, which can provide real-time feedback on the vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0069] Figure 1 It is a structural diagram of the intelligent supervision system for construction vehicles in the embodiment of the present application;

[0070] Figure 2 This is one of the flow charts of the intelligent supervision method for construction vehicles in the embodiment of the present application;

[0071] Figure 3 This is a second flow chart of the construction vehicle intelligent supervision method in the embodiment of the present application;

[0072] Figure 4 The third flowchart of the intelligent supervision method for construction vehicles in the embodiment of the present application;

[0073] Figure 5 This is a fourth flow chart of the intelligent supervision method for construction vehicles in an embodiment of the present application;

[0074] Figure 6 This is one of the structural diagrams of the intelligent monitoring device for construction vehicles in the embodiment of the present application;

[0075] Figure 7 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0076] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0077] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0078] The information collected in the technical solution of this application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data comply with the relevant laws, regulations and standards of relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0079] Taking into account the relevant problems of the prior art, the present application provides a construction vehicle intelligent supervision system, method and device to provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency.

[0080] In order to provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency, this application provides an embodiment of a construction vehicle intelligent supervision system. Figure 1 , the construction vehicle intelligent supervision method specifically includes vehicle-mounted integrated equipment, vehicle load sensors, vehicle intelligent identification barriers, data acquisition units, data processing units, memory and interactive interfaces;

[0081] The vehicle-mounted integrated equipment is used to monitor the driving track and position of the construction vehicle, the driver's driving behavior, and transmit warning information in real time;

[0082] The vehicle load sensor is used to monitor the loading condition of the vehicle in real time;

[0083] The vehicle intelligent identification gate is installed at the entrance of the construction enclosure area to collect information on vehicles entering the construction area;

[0084] The data acquisition unit is used to collect data provided by the vehicle-mounted integrated equipment and the load sensor, and transmit the data to the data processing unit;

[0085] The data processing unit is used to analyze the operation efficiency and abnormal conditions of the construction vehicle according to the received data;

[0086] Wherein, the interactive interface includes:

[0087] Driver interface for submitting abnormal behavior reports and receiving warning messages;

[0088] The project manager management interface is used to provide the driving tracks and positions of all construction vehicles, as well as the analysis results of the data processing unit, and is equipped with an option to send warning messages;

[0089] The administrator management interface is used to provide the driving trajectory and location of all construction vehicles and the analysis results of the data processing unit, and is provided with electronic fence setting options, load limit options and warning information sending options, and displays the driver abnormality report based on the received driver driving behavior.

[0090] Among them, one vehicle-mounted integrated device of each construction vehicle must include GPS positioning function, real-time monitoring function in the cab, and remote information transmission function. It is used to monitor the driving trajectory and location of the construction vehicle, the driver's driving behavior, and the transmission of warning information in real time. The equipment is installed on all construction vehicles that need to be managed to obtain the real-time positioning and historical driving routes of the vehicle to ensure that the vehicle is active in the designated area.

[0091] A set of load sensors installed on the vehicle is used to monitor the vehicle's loading conditions in real time, ensure that the load is within a safe range, prevent overloading and slag spillage, and ensure safety and standardization during the construction process.

[0092] The vehicle intelligent identification barrier includes devices such as cameras and RFID readers that automatically identify vehicle information. It is installed at the entrance of the construction fence area to collect information on vehicles entering the construction area.

[0093] The data acquisition unit is used to collect, process, store and transmit data provided by GPS and load sensors, including a data acquisition module for collecting relevant information generated by the sensors; an information processing module for processing and classifying the collected information; an information storage module for temporarily storing processed information; and an information transmission module for transmitting the information temporarily stored in the storage module to the data processing unit.

[0094] The data processing unit is used to summarize, analyze and manage all collected vehicle information, including location, load, usage efficiency and other data.

[0095] The memory is used to store the vehicle data and analysis results of the data processing unit and form a complete database.

[0096] The driver operation interface is provided to the construction vehicle drivers and is embedded in the vehicle integrated equipment. The driver can submit abnormal behavior reports through this interface and provide timely feedback to the administrator. At the same time, the driver can receive warning information from the project manager and administrator, such as overloading or illegal operation reminders, to ensure that he can adjust his behavior in time.

[0097] Project Manager Management Interface is an operation and monitoring interface for project managers at construction sites. The real-time location, historical trajectory, and phased data analysis results of all construction vehicles can be viewed through this interface. Warning notifications can be issued to drivers through the operation interface.

[0098] Administrator management interface is an operation and monitoring interface for managers. The administrator can view the real-time location, historical trajectory, and periodic data analysis results of all construction vehicles through this interface. Management content such as electronic fences and load limits can be set, and abnormal driver reports can be received.

[0099] This system realizes intelligent management of construction vehicles through multi-module collaboration. The on-board integrated equipment provides GPS positioning, real-time monitoring and remote information transmission functions to ensure comprehensive monitoring of vehicle trajectory, location and driving behavior, and ensure that it operates within the designated area. The load sensor monitors the loading situation in real time to prevent overloading and slag spillage, and improve construction safety. The intelligent identification gate combines cameras and RFID technology to accurately collect vehicle entry and exit information. The data acquisition unit and the data processing unit efficiently integrate information such as location, load and utilization efficiency to form a complete analyzable database to provide decision support for construction management. The driver operation interface and the management interface provide real-time warning and feedback functions to achieve closed-loop management of multi-party collaboration, effectively improving construction efficiency and safety.

[0100] In order to provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency, this application provides an embodiment of a construction vehicle intelligent supervision method, see Figure 2 The construction vehicle intelligent supervision method specifically includes the following contents:

[0101] Step S101: Authentication of construction vehicles arriving at the construction site entrance is performed through the vehicle intelligent identification barrier.

[0102] In an alternative embodiment, see Figure 3 , the identity verification of the construction vehicles arriving at the construction site entrance by the vehicle intelligent identification gate includes:

[0103] Step S101A: using an RFID card reader or a camera to identify vehicle information, the vehicle information including license plate number, vehicle model, and entry and exit time;

[0104] Step S101B: If the information verification is passed, the intelligent identification barrier is controlled to be lifted.

[0105] When a vehicle arrives at the entrance of the construction site, the system authenticates the vehicle through the vehicle intelligent identification barrier. The barrier system uses an RFID card reader or camera to identify vehicle information, including license plate number, vehicle model, and entry and exit time. The barrier verifies the legality of the vehicle and whether it has permission to enter the construction area. If the information is verified, the barrier automatically lifts to allow the vehicle to enter and installs the on-board integrated equipment.

[0106] Step S102: When the identity authentication is successful, the vehicle-mounted integrated equipment collects the real-time location information of the construction vehicle.

[0107] Step S103: After determining that the construction vehicle has entered the work area based on the location information, the loading status of the construction vehicle is recorded by the vehicle load sensor, and the vehicle usage status is recorded by the driver's driving behavior obtained by the on-board integrated equipment.

[0108] When a vehicle enters the construction area, the system tracks the vehicle's driving trajectory in real time through the on-board integrated equipment. The on-board equipment sends the vehicle's location information to the data acquisition unit, which is then transferred to the data processing unit for analysis and recording. The administrator enters the coordinate points through the administrator management interface and sets the electronic fence.

[0109] When the muck truck enters the loading area, the load sensor device installed on the vehicle starts to work and monitors the load of the vehicle in real time. The sensor transmits the load data to the data processing unit for analysis.

[0110] The system continuously obtains the vehicle's location information, load data, and vehicle usage (stay time, running time, etc.) through the data acquisition unit. The data is stored in a solid-state memory, and managers can retrieve relevant data at any time through the administrator management interface, and understand the usage efficiency and operating status of each vehicle through data analysis to help optimize construction scheduling.

[0111] Step S104: After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0112] When the vehicle completes the construction task and is ready to leave, the system will once again verify the vehicle information through the vehicle intelligent identification gate to ensure that the vehicle leaves the site in compliance with regulations. When leaving the site, the system will automatically archive the vehicle's departure time, driving trajectory, load record and other data for future query and analysis.

[0113] In an optional embodiment, determining the abnormal condition of the construction vehicle includes:

[0114] The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein:

[0115] In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface;

[0116] In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface;

[0117] In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

[0118] For example, a multi-level linkage warning mechanism is set up for violations of different types and severity (such as overload, overrange, abnormal stagnation, etc.). Warning information will be pushed to different management-related personnel in layers according to the type and severity of the event to ensure a quick response. All warning events will generate logs for data analysis. See Table 1 for the classification of warning levels according to event type and severity.

[0119] Table 1

[0120]

[0121] For example, Table 1 shows a multi-level linkage warning mechanism designed for violations of different types and severity. Warnings are divided into three levels, each of which is pushed to different responsible persons according to the type and severity of the violation, and corresponding response measures are taken. The first-level warning is for minor violations within the overload threshold of 10%, and the on-board equipment reminds the driver to adjust the operation; the second-level warning handles moderate violations such as driving beyond the specified area by less than 1 km or speeding by less than 30%, and the project manager receives the notification and takes on-site display warning measures; the third-level warning is for exceeding the area by 1 km or serious overloading and speeding, and the administrator receives and initiates the emergency plan. All warning events are recorded and logs are generated to provide a basis for subsequent data analysis.

[0122] In an optional embodiment, it also includes:

[0123] Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes:

[0124] Basic report information, including project name, warning generation time, and report generation time;

[0125] Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events;

[0126] Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

[0127] Among them, this application report provides managers with offline viewing, archiving and sharing support through statistics and analysis of construction vehicle warning events, and can customize the format and content of the report according to needs. The report first includes basic information, such as project name, report time range and generation time, to provide users with a clear time and task background.

[0128] The data summary section counts the warning events that occurred during this period, including the total number of warnings and the proportion of warning types at each level, to help managers fully understand the distribution of different types of violations. In addition, the report pays special attention to the number and proportion of level 3 serious warning events to highlight high-risk events and provide a basis for optimizing management measures.

[0129] In the chart and data analysis section, the system uses a line chart to show the daily trend of the number of warnings, which can intuitively identify high-frequency warning periods, such as the common peak hours concentrated from 10:00 to 12:00 and 15:00 to 16:00. At the same time, the report lists the top 10 vehicles with the most warnings, and provides the vehicle license plate number, driver information and warning level, which is convenient for accurately locating high-frequency violation vehicles. In addition, heat maps are used to show the distribution of warning events in different construction areas, so that managers can intuitively understand the problem areas.

[0130] Finally, the report also provides a detailed list of abnormal warning events, recording specific violations and event information. This multi-dimensional visual analysis and detailed records not only provide accurate data support for construction management, but also effectively improve the level of safety and efficiency management.

[0131] In an optional embodiment, determining the operating efficiency of the construction vehicle includes:

[0132] Determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time location information of the construction vehicle, the loading status of the construction vehicle and the driving behavior of the driver;

[0133] Determining a vehicle utilization rate based on the actual working time of the vehicle and the total operating time;

[0134] Determining the vehicle transportation efficiency according to the actual working time of the vehicle and the total transportation weight;

[0135] Determine the vehicle idle rate according to the idle running time and the total running time;

[0136] The comprehensive operation efficiency of the construction vehicle is determined according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and the efficiency evaluation level of the current construction vehicle is determined according to a preset efficiency evaluation rule.

[0137] 1) Input data includes:

[0138] a. Driving data: including vehicle mileage, driving speed, operating time, and dwell time (collected through GPS and timestamp of vehicle-mounted integrated equipment).

[0139] b. Load data: the load of each transport and the cumulative load (collected by load sensors).

[0140] c. Mission information: vehicle mission assignment (type of transported materials, target location, single transport plan).

[0141] d. Area data: frequency and time of vehicles entering and leaving the construction site area (monitored by electronic fences).

[0142] 2) Vehicle utilization model:

[0143] Among them, T w Represents the actual transportation, loading and unloading time of the vehicle, T t Characterizes the total vehicle operation time (including waiting time).

[0144] Vehicle transportation efficiency:

[0145] Among them, W t Characterizes the total transport weight of the vehicle.

[0146] Empty driving rate model:

[0147] Among them, T idle Characterizes the vehicle's no-load running time.

[0148] Comprehensive efficiency evaluation: S e =w1U+w2E trans -w3R idle

[0149] Among them, w1, w2, and w3 are efficiency evaluation weight parameters, which can be adjusted according to the needs of the management.

[0150] Efficiency evaluation:

[0151] The average efficiency scores of various types of vehicles were extracted from the historical data of other construction projects as reference values ​​to establish the efficiency evaluation level, see Table 2.

[0152] Table 2

[0153] Rating range grade evaluate 90-100 excellent The vehicle operates very efficiently, making full use of 75-89 good High efficiency and reasonable resource allocation 60-74 generally There is room for improvement in efficiency and scheduling should be optimized Below 60 Poor Low operating efficiency, management strategy should be adjusted

[0154] Among them, Table 2 shows the grading standard for construction vehicle efficiency evaluation, which is divided into multiple levels based on the average efficiency score in historical construction project data as a reference value to evaluate the operating efficiency of vehicles. The scoring range is divided into four levels: 90-100 points are "excellent", indicating that the vehicle operation efficiency is extremely high and resources are fully utilized; 75-89 points are "good", indicating that the efficiency is high and the resource allocation is relatively reasonable; 60-74 points are "average", indicating that there is still room for improvement in efficiency and optimization of scheduling is needed; less than 60 points are "poor", indicating that the operating efficiency is low and the management strategy should be adjusted. This grading standard provides managers with a clear reference basis so that they can take targeted measures for different efficiency levels to optimize the management of construction vehicles and resource utilization efficiency.

[0155] In order to further illustrate the present solution, the present application also provides a process example of using the above-mentioned construction vehicle intelligent supervision device to implement the construction vehicle intelligent supervision method, see Figure 4 ,This flow chart shows the management and monitoring process of construction vehicles after ,entering the construction area, and a series of steps are used to realize ,real-time collection, analysis, exception handling and archiving management of vehicle ,information.

[0156] First, after the vehicle enters the construction area, the system authenticates the vehicle through the vehicle identification gate and binds and installs the GPS device, vehicle-mounted integrated equipment and load monitoring device to the vehicle. This process ensures that the vehicle entering the area is an authorized vehicle and provides technical support for subsequent data collection and monitoring.

[0157] Next, the system uses monitoring equipment and GPS functions to track the vehicle's driving information and load data in real time to ensure a comprehensive understanding of the vehicle's operating status. This information is then transmitted to the data processing module, where the system analyzes and stores the collected data and generates management information to support construction management decisions.

[0158] If no abnormality is found during the operation of the vehicle, the system will record the vehicle information normally and allow it to continue operating; if an abnormal situation occurs, such as overloading, speeding or exceeding the designated area, the system will trigger a hierarchical processing mechanism based on the type and severity of the abnormal behavior. The abnormal information will be pushed to relevant managers through multi-level linkage alarms so that corresponding measures can be taken quickly.

[0159] When the vehicle completes its mission and is ready to leave the construction area, the system authenticates the vehicle again through the gate and records the vehicle's departure time and related data. Finally, this information is stored to form a complete construction vehicle management file, providing data support for subsequent analysis and improvement.

[0160] The above overall process realizes the intelligent management of the entire process of construction vehicles from entry to departure, effectively improving the efficiency and safety of construction management.

[0161] Furthermore, the present application also provides an example of an information processing flow for realizing an intelligent supervision method for construction vehicles by using the above-mentioned intelligent supervision device for construction vehicles, see Figure 5 ,The figure shows the specific steps of the construction vehicle information ,processing process. Through the collaboration of multiple information models, the ,comprehensive processing and integration of vehicle basic information, ,driving information, location data and load data are achieved.

[0162] First, the system collects the basic information, GPS location information and load information of the vehicle, and inputs these data into the corresponding information processing model. Among them, the basic information is converted into the basic data of the vehicle through the information processing model to form the basis of management; the GPS location information is input into the driving route model to generate the driving trajectory data of the vehicle; the load information is analyzed by the load limit model to ensure that it meets the construction specifications.

[0163] Next, the system uses the electronic fence restriction model to judge the vehicle's GPS location data and generate fence judgment information to ensure that the vehicle's activities are within the set area. At the same time, the load restriction model analyzes the vehicle's load condition, generates load judgment information, and detects whether there is overloading. These judgment information will be combined with the driving route information. If an abnormal situation occurs (such as illegal operation or overloading), the system will trigger a warning mechanism and convert the abnormal information into warning processing information.

[0164] All basic information, driving route information and warning processing information are summarized as vehicle management information, providing managers with comprehensive data support to help them understand the vehicle operation status in real time, handle violations, and optimize the construction scheduling process.

[0165] The overall process establishes an efficient information processing system through data collection, judgment and integration, providing a solid technical foundation for the intelligent management of construction vehicles.

[0166] From the above description, it can be seen that the intelligent supervision method for construction vehicles provided in the embodiment of the present application can provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency.

[0167] In order to provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency, the present application provides an embodiment of a construction vehicle intelligent supervision device for implementing all or part of the contents of the construction vehicle intelligent supervision method, see Figure 6 The construction vehicle intelligent monitoring device specifically includes the following contents:

[0168] The identity verification module 1101 is used to verify the identity of the construction vehicle arriving at the construction site entrance through the vehicle intelligent identification gate;

[0169] The location collection module 1102 is used to: collect the real-time location information of the construction vehicle from the vehicle-mounted integrated equipment when the identity verification is successful;

[0170] The parameter acquisition module 1103 is used to: after determining that the construction vehicle has entered the work area according to the position information, record the loading condition of the construction vehicle through the vehicle load sensor, and record the vehicle usage condition through the driver's driving behavior obtained by the vehicle-mounted integrated equipment;

[0171] The supervision and analysis module 1104 is used to: after determining that the construction vehicle has left the work area based on the location information, authenticate the construction vehicle arriving at the construction site exit through the vehicle intelligent identification barrier, and if the identity authentication is successful, determine the operating efficiency and abnormal conditions of the construction vehicle based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0172] According to any implementation of the present application, the identity authentication module includes:

[0173] A vehicle identification unit is used to: use an RFID card reader or a camera to identify vehicle information, wherein the vehicle information includes a license plate number, a vehicle model, and an entry and exit time;

[0174] The vehicle passing unit is used to: if the information verification is passed, control the intelligent identification barrier to be lifted.

[0175] According to any implementation of the present application, the supervision and analysis module determines the abnormal situation of the construction vehicle, specifically for:

[0176] The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein:

[0177] In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface;

[0178] In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface;

[0179] In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

[0180] According to any embodiment of the present application, a report sound field module is also included, which is specifically used for:

[0181] Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes:

[0182] Basic report information, including project name, warning generation time, and report generation time;

[0183] Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events;

[0184] Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

[0185] According to any implementation of the present application, the supervision and analysis module determines the operating efficiency of the construction vehicle, including:

[0186] A parameter determination unit, used to determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time position information of the construction vehicle, the loading condition of the construction vehicle and the driving behavior of the driver;

[0187] The efficiency calculation unit is used to: determine the vehicle utilization rate according to the actual working time of the vehicle and the total operating time, determine the vehicle transportation efficiency according to the actual working time of the vehicle and the total transportation weight, determine the vehicle idle rate according to the no-load operating time and the total operating time, determine the comprehensive operating efficiency of the construction vehicle according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and determine the efficiency evaluation level of the current construction vehicle according to a preset efficiency evaluation rule.

[0188] From the above description, it can be seen that the intelligent supervision device for construction vehicles provided in the embodiment of the present application can provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency.

[0189] From the hardware level, in order to be able to provide real-time feedback on vehicle status, improve construction management efficiency, effectively reduce illegal operations and safety hazards, and improve construction safety and resource utilization efficiency, the present application provides an embodiment of an electronic device for implementing all or part of the contents of the construction vehicle intelligent supervision method, and the electronic device specifically includes the following contents:

[0190] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the intelligent supervision device for construction vehicles and related equipment such as core business systems, user terminals and related databases; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the intelligent supervision method for construction vehicles and the embodiment of the intelligent supervision device for construction vehicles in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0191] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0192] In practical applications, part of the construction vehicle intelligent supervision method can be executed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0193] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0194] Figure 7 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 7 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Figure 7 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0195] In one embodiment, the construction vehicle intelligent supervision method function can be integrated into the central processor 9100.

[0196] The CPU 9100 may be configured to perform the following control:

[0197] Step S101: Authentication of construction vehicles arriving at the construction site entrance is performed through a vehicle intelligent identification barrier;

[0198] Step S102: When the identity verification is successful, the vehicle-mounted integrated device collects the real-time location information of the construction vehicle;

[0199] Step S103: after determining that the construction vehicle has entered the work area according to the location information, recording the loading status of the construction vehicle through the vehicle load sensor, and recording the vehicle usage status through the driver's driving behavior obtained by the vehicle-mounted integrated equipment;

[0200] Step S104: After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0201] From the above description, it can be seen that the electronic device provided in the embodiment of the present application provides real-time feedback on vehicle status, improves construction management efficiency, effectively reduces illegal operations and safety hazards, and improves construction safety and resource utilization efficiency.

[0202] In another embodiment, the intelligent supervision device for construction vehicles may be configured separately from the central processor 9100. For example, the intelligent supervision device for construction vehicles may be configured as a chip connected to the central processor 9100, and the functions of the intelligent supervision method for construction vehicles may be implemented through the control of the central processor.

[0203] like Figure 7 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Figure 7 In addition, the electronic device 9600 may also include Figure 7 For components not shown, reference may be made to the prior art.

[0204] like Figure 7 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0205] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0206] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0207] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0208] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0209] The communication module 9110 is a transmitter / receiver that sends and receives signals via the antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0210] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0211] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the intelligent supervision method for construction vehicles in the above embodiments, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the intelligent supervision method for construction vehicles in the above embodiments are implemented, where the execution subject is a server or a client. For example, when the processor executes the computer program, the following steps are implemented:

[0212] Step S101: Authentication of construction vehicles arriving at the construction site entrance is performed through a vehicle intelligent identification barrier;

[0213] Step S102: When the identity verification is successful, the vehicle-mounted integrated device collects the real-time location information of the construction vehicle;

[0214] Step S103: after determining that the construction vehicle has entered the work area according to the location information, recording the loading status of the construction vehicle through the vehicle load sensor, and recording the vehicle usage status through the driver's driving behavior obtained by the vehicle-mounted integrated equipment;

[0215] Step S104: After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0216] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application provides real-time feedback on vehicle status, improves construction management efficiency, effectively reduces illegal operations and safety hazards, and improves construction safety and resource utilization efficiency.

[0217] The embodiments of the present application also provide a computer program product capable of implementing all the steps of the construction vehicle intelligent supervision method in the above embodiments, where the execution subject is a server or a client. When the computer program / instruction is executed by a processor, the steps of the construction vehicle intelligent supervision method are implemented. For example, the computer program / instruction implements the following steps:

[0218] Step S101: Authentication of construction vehicles arriving at the construction site entrance is performed through a vehicle intelligent identification barrier;

[0219] Step S102: When the identity verification is successful, the vehicle-mounted integrated device collects the real-time location information of the construction vehicle;

[0220] Step S103: after determining that the construction vehicle has entered the work area according to the location information, recording the loading status of the construction vehicle through the vehicle load sensor, and recording the vehicle usage status through the driver's driving behavior obtained by the vehicle-mounted integrated equipment;

[0221] Step S104: After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

[0222] From the above description, it can be seen that the computer program product provided in the embodiment of the present application provides real-time feedback on vehicle status, improves construction management efficiency, effectively reduces illegal operations and safety hazards, and improves construction safety and resource utilization efficiency.

[0223] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0224] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0225] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0226] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0227] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An intelligent supervision system for construction vehicles, characterized in that: It includes vehicle-mounted integrated equipment, vehicle load sensor, vehicle intelligent identification gate, data acquisition unit, data processing unit, memory and interactive interface; The vehicle-mounted integrated equipment is used to monitor the driving track and position of the construction vehicle, the driver's driving behavior, and transmit warning information in real time; The vehicle load sensor is used to monitor the loading condition of the vehicle in real time; The vehicle intelligent identification gate is installed at the entrance of the construction enclosure area to collect information on vehicles entering the construction area; The data acquisition unit is used to collect data provided by the vehicle-mounted integrated equipment and the load sensor, and transmit the data to the data processing unit; The data processing unit is used to analyze the operation efficiency and abnormal conditions of the construction vehicle according to the received data; Wherein, the interactive interface includes: Driver interface for submitting abnormal behavior reports and receiving warning messages; The project manager management interface is used to provide the driving tracks and positions of all construction vehicles, as well as the analysis results of the data processing unit, and is equipped with an option to send warning messages; The administrator management interface is used to provide the driving trajectory and location of all construction vehicles and the analysis results of the data processing unit, and is provided with electronic fence setting options, load limit options and warning information sending options, and displays the driver abnormality report based on the received driver driving behavior.

2. A construction vehicle intelligent supervision method, characterized in that: Applied to the construction vehicle intelligent supervision system of claim 1, the method comprises: Authentication of construction vehicles arriving at the construction site entrance is performed through the vehicle intelligent identification barrier; If the identity verification is successful, the on-board integrated equipment will collect the real-time location information of the construction vehicle; After determining that the construction vehicle has entered the work area according to the location information, the loading condition of the construction vehicle is recorded by the vehicle load sensor, and the driving behavior of the driver obtained by the vehicle integrated equipment is recorded for the vehicle use condition; After determining that the construction vehicle has left the work area based on the location information, the construction vehicle arriving at the construction site exit is authenticated through the vehicle intelligent identification barrier, and if the identity authentication is successful, the operating efficiency and abnormal conditions of the construction vehicle are determined based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

3. The intelligent supervision method for construction vehicles according to claim 2 is characterized in that: The identity verification of the construction vehicles arriving at the construction site entrance by the vehicle intelligent identification gate includes: Use an RFID card reader or camera to identify vehicle information, including license plate number, vehicle model, and entry and exit time; If the information verification is passed, the intelligent identification barrier is controlled to be lifted.

4. The intelligent supervision method for construction vehicles according to claim 2 is characterized in that: The determining the abnormal condition of the construction vehicle includes: The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein: In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface; In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface; In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

5. The intelligent supervision method for construction vehicles according to claim 4 is characterized in that: Also includes: Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes: Basic report information, including project name, warning generation time, and report generation time; Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events; Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

6. The intelligent supervision method for construction vehicles according to claim 2 is characterized in that: Determining the operating efficiency of the construction vehicle includes: Determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time location information of the construction vehicle, the loading status of the construction vehicle and the driving behavior of the driver; Determining a vehicle utilization rate based on the actual working time of the vehicle and the total operating time; Determining the vehicle transport efficiency based on the actual working time of the vehicle and the total transport weight; Determining the vehicle idle rate according to the idle running time and the total running time; The comprehensive operation efficiency of the construction vehicle is determined according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and the efficiency evaluation level of the current construction vehicle is determined according to a preset efficiency evaluation rule.

7. An intelligent monitoring device for construction vehicles, characterized in that: Applicable to the construction vehicle intelligent supervision system of claim 1, the device comprises: The identity verification module is used to verify the identity of the construction vehicles arriving at the construction site entrance through the vehicle intelligent identification gate; The location collection module is used to: collect the real-time location information of the construction vehicle from the vehicle-mounted integrated equipment when the identity authentication is successful; A parameter acquisition module is used to: after determining that the construction vehicle has entered the work area according to the position information, record the loading condition of the construction vehicle through the vehicle load sensor, and record the vehicle usage condition through the driver's driving behavior obtained by the vehicle-mounted integrated equipment; The supervision and analysis module is used to: after determining that the construction vehicle has left the work area based on the location information, authenticate the construction vehicle arriving at the construction site exit through the vehicle intelligent identification barrier, and if the identity authentication is successful, determine the operating efficiency and abnormal conditions of the construction vehicle based on the real-time location information of the construction vehicle, the loading condition of the construction vehicle, and the driving behavior of the driver.

8. The intelligent monitoring device for construction vehicles according to claim 7 is characterized in that: The identity verification module comprises: A vehicle identification unit is used to: use an RFID card reader or a camera to identify vehicle information, wherein the vehicle information includes a license plate number, a vehicle model, and an entry and exit time; The vehicle passing unit is used to: if the information verification is passed, control the intelligent identification barrier to be lifted.

9. The intelligent monitoring device for construction vehicles according to claim 7, characterized in that: The supervision and analysis module determines the abnormal situation of the construction vehicle, specifically for: The abnormal situation of the current construction vehicle is monitored in real time according to the real-time location information of the construction vehicle, the loading situation of the construction vehicle, and the driving behavior of the driver, wherein: In response to the load of the construction vehicle exceeding a first preset load range, sending a first warning message to the driver operation interface; In response to the construction vehicle meeting any one of the following conditions: the driving range exceeds the first preset range, the driving speed exceeds the first preset speed, the stationary time or the deviation time from the preset route exceeds the preset time, sending a second warning message to the project manager management interface; In response to the construction vehicle meeting any one of the following conditions: the load exceeds the second preset load range, the driving range exceeds the second preset range, and the driving speed exceeds the second preset speed, a third warning message is sent to the administrator.

10. The intelligent monitoring device for construction vehicles according to claim 9, characterized in that: It also includes a report sound field module, which is specifically used for: Generate a corresponding warning data report according to the first warning information, the second warning information and the third warning information, wherein the data report includes: Basic report information, including project name, warning generation time, and report generation time; Data summary, including the number of warning events, the percentage of each type of warning, and the percentage of third warning events; Charts include line graphs showing changes in the number of warning messages, data graphs showing warning vehicle information, and warning area distribution graphs.

11. The intelligent monitoring device for construction vehicles according to claim 7, characterized in that: The supervision and analysis module determines the operating efficiency of the construction vehicle, including: A parameter determination unit, used to determine the actual working time, total operating time, total transport weight and empty operating time of the vehicle based on the real-time position information of the construction vehicle, the loading condition of the construction vehicle and the driving behavior of the driver; The efficiency calculation unit is used to: determine the vehicle utilization rate according to the actual working time of the vehicle and the total operating time, determine the vehicle transportation efficiency according to the actual working time of the vehicle and the total transportation weight, determine the vehicle idle rate according to the no-load operating time and the total operating time, determine the comprehensive operating efficiency of the construction vehicle according to the vehicle utilization rate, the vehicle transportation efficiency and the vehicle idle rate, and determine the efficiency evaluation level of the current construction vehicle according to a preset efficiency evaluation rule.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the construction vehicle intelligent supervision method described in any one of claims 2 to 6 are implemented.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the construction vehicle intelligent supervision method described in any one of claims 2 to 6 are implemented.

14. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the construction vehicle intelligent supervision method described in any one of claims 2 to 6 are implemented.

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