Engineering vehicle safety management and control method and system, computer equipment and storage medium

Abstract

The invention relates to an engineering vehicle safety management and control method and system, computer equipment and a storage medium. The real-time speed is calculated by collecting the angular speed of the hub of the vehicle and combining the diameter of the wheel, the real-time position information of the vehicle is obtained through positioning, and real-time monitoring of the engineering vehicle can be achieved. In this way, real-time and accurate vehicle speed and position monitoring is ensured, and reliable basic data is provided for subsequent driving behavior analysis and early warning of overspeed and unsafe driving behaviors. Meanwhile, by monitoring the use record and the driving behavior of the driver, accidents can be effectively reduced, and the safety and the management efficiency of the engineering vehicle are improved.

Description

Technical Field

[0001] This application relates to the field of engineering construction technology, and in particular to a method, system, computer equipment, and storage medium for the safety management of engineering vehicles. Background Technology

[0002] In the field of engineering construction, the normal working condition of engineering vehicles is undoubtedly a key factor in the smooth progress of construction, directly linked to the speed and efficiency of the project. Especially within the site (factory) area, engineering vehicles face an extremely complex working environment. On the one hand, situations involving both personnel and vehicles frequently occur, which not only increases the complexity of the work but also significantly raises safety risks. On the other hand, various obstacles often exist in the work area, limiting the driver's visibility and making it difficult to fully observe the surrounding situation; narrow passages also cause many inconveniences for vehicle passage and turning, easily leading to accidents such as vehicle scraping; blind spots are like hidden "traps," preventing drivers from timely detecting people or other objects in the blind spots, thus causing serious collisions.

[0003] Furthermore, driver-related issues cannot be ignored. Fatigue driving slows reaction time and reduces concentration, significantly decreasing the ability to respond to emergencies; illegal driving behaviors, such as reckless lane changes and driving against traffic, severely disrupt normal operational order; unlicensed driving indicates a lack of necessary professional skills and safety training, making operational errors highly likely; speeding puts vehicles on the verge of loss of control, leaving no time to brake or avoid obstacles in emergencies. These driver-related misconducts can easily lead to traffic accidents within the plant, causing significant losses to personnel safety and construction progress. Existing technologies primarily focus on collecting data on equipment operation, such as engine speed, oil temperature, and oil pressure, but cannot fully capture the driving status data of engineering vehicles.

[0004] Given the aforementioned serious situation, there is an urgent need for an innovative solution to improve the safety and management efficiency of engineering vehicles within the site (factory) area. Summary of the Invention

[0005] Based on this, a method, system, computer equipment, and storage medium for safety management of engineering vehicles are provided to solve the technical problem that engineering vehicles cannot be fully managed due to the inability to collect complete driving status data and the lack of comprehensive monitoring and early warning of vehicle speed, position, and driver behavior.

[0006] On the one hand, a method for safety management and control of engineering vehicles is provided, the method comprising: The real-time angular velocity of the vehicle is acquired by sensors installed on the wheel hubs of the engineering vehicle, and the real-time speed of the engineering vehicle is determined based on the angular velocity. The engineering vehicle is located to obtain its position coordinates. Obtain the driver information of the engineering vehicle, and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle; Based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records, the system monitors and issues warnings in real time for the driver's speeding and unsafe driving behaviors.

[0007] In one embodiment, acquiring the real-time angular velocity of the vehicle collected by a sensor mounted on the wheel hub of the engineering vehicle, and determining the real-time speed of the engineering vehicle based on the angular velocity, includes: The angular velocity of the vehicle in real time, collected by the sensor, is transmitted to the intelligent terminal of the engineering vehicle. The intelligent terminal processes the data and communicates with the management and control platform through a wireless network. Obtain the wheel diameter, and calculate the real-time speed of the engineering vehicle based on the angular velocity and the wheel diameter; The real-time speed is transmitted via 485 data and the real-time speed value is displayed on an external display screen.

[0008] In one embodiment, locating the engineering vehicle and obtaining its position coordinates includes: The engineering vehicle is located using the Global Positioning System (GPS) / BeiDou satellites, and its real-time location information is detected to obtain its coordinates within the factory area.

[0009] In one embodiment, obtaining the driver information of the engineering vehicle and determining the driver's usage record based on the driver's verification information of using the engineering vehicle includes: Obtain the driver information of the engineering vehicle, including employee number, name, contact number, department, and role permissions; Obtain information about engineering vehicles, including brand, model, serial number, license plate, and department to which they belong; Based on the verification information of the driver using the engineering vehicle, the driver information corresponding to each engineering vehicle is determined, and the engineering vehicle information is bound and authorized with the driver information. A corresponding driver is set for each vehicle, and the driver is granted the right to open the corresponding vehicle. Only drivers with the right can scan the code to log in and open the vehicle. The right is transmitted to the intelligent terminal of the engineering vehicle through command. The driver's overtime hours, vehicle movement time, and vehicle idle time are obtained from the verification information of the driver's use of the engineering vehicle as the driver's usage record.

[0010] In one embodiment, the real-time monitoring and early warning of the driver's speeding and unsafe driving behavior based on the real-time speed and position coordinates of the engineering vehicle and the driver's usage records includes: The real-time speed and location coordinates of the engineering vehicles, as well as the driver's usage records, are uploaded to the management and control platform and displayed centrally. Based on the real-time speed, the location coordinates, and the driver's usage records, the control platform analyzes the driving behavior of each driver and monitors the speeding and unsafe driving behaviors of engineering vehicles in real time. The management platform analyzes the driving behavior of each driver to generate driver behavior records, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. It supports querying speeding events / driver violation events, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. The risk level is determined by analyzing the driving behavior of each driver through the control platform, and a preset speed alarm mode is executed based on the risk level.

[0011] In one embodiment, real-time monitoring of speeding and unsafe driving behavior of engineering vehicles includes: When speeding and / or unsafe driving behavior of engineering vehicles is detected, an audible and visual alarm is issued to the driver, and the alarm event is uploaded to the management and control platform. The intelligent terminal of the engineering vehicle uploads events related to the driver's speeding and unsafe driving behavior. The control platform records the driver's speeding and unsafe driving behavior, including the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation image information.

[0012] In one embodiment, determining the risk level based on the analysis of each driver's driving behavior by the control platform includes: Based on the driver's driving behavior, obtain the actual distance d between the vehicle and the obstacle in front, obtain the minimum distance S between the vehicle and the obstacle in front without collision, obtain the driver's unsafe behavior coefficient b, obtain the vehicle's current speed V and the speed limit v of the current road segment where the vehicle is located. Determine the weighting coefficients α, β, and γ corresponding to distance risk, driver behavior risk, and speeding risk, respectively; The braking risk index R is calculated using R = α × S / d + β × b + γ × V / v. When the braking risk index R is greater than or equal to the preset trigger threshold, the corresponding risk level is determined based on the braking risk index R.

[0013] On the other hand, a safety management and control system for engineering vehicles is provided, the system comprising: The speed acquisition module is used to acquire the real-time angular velocity of the vehicle from the sensors installed on the wheel hub of the engineering vehicle, and to determine the real-time speed of the engineering vehicle based on the angular velocity. The positioning module is used to locate the engineering vehicle and obtain its position coordinates. The driver information module is used to obtain the driver information of the engineering vehicle and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle. The monitoring and early warning module is used to monitor and issue early warnings for the driver's speeding and unsafe driving behavior in real time based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records.

[0014] In another aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the engineering vehicle safety management method.

[0015] In another aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of a method for safety management of engineering vehicles.

[0016] The aforementioned safety management methods, systems, computer equipment, and storage media for engineering vehicles calculate real-time speed by collecting the angular velocity of the vehicle's wheel hubs and combining it with the wheel diameter. Furthermore, they obtain the vehicle's real-time location information through positioning, enabling real-time monitoring of engineering vehicles. This approach ensures real-time and accurate monitoring of vehicle speed and location, providing reliable basic data for subsequent driving behavior analysis and early warning of speeding and unsafe driving behaviors. Simultaneously, by monitoring driver usage records and driving behavior, accidents can be effectively reduced, improving the safety and management efficiency of engineering vehicles. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1This is a diagram illustrating the composition of a safety control structure for engineering vehicles in one embodiment of this application; Figure 2 This is a structural block diagram of the control platform in one embodiment of this application; Figure 3 This is a schematic diagram of the process used by a driver of an engineering vehicle in one embodiment of this application; Figure 4 This is a flowchart illustrating a method for safety management of engineering vehicles in one embodiment of this application; Figure 5 This is a structural block diagram of an engineering vehicle safety control system in one embodiment of this application; Figure 6 This is an internal structural diagram of a computer device in one embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0020] As described in the background section, existing technologies primarily focus on collecting equipment operating status data. Their emphasis is on efficiently collecting operational data from equipment (in this case, engineering vehicles) using DTU (Data Transmission Unit) modules, such as physical parameters like engine speed, oil temperature, and oil pressure. However, they relatively lack the ability to comprehensively assess and manage vehicle safety conditions; they are merely front-end devices for data collection, requiring further system processing to achieve safety control. This invention not only collects operational status data from engineering vehicles but also provides comprehensive control over vehicle safety.

[0021] Traditional engineering vehicle safety management systems typically involve various enterprises adopting safety management measures such as signage and prompts, vehicle speed measurement, enhanced daily inspections and training, as well as technical measures such as installing vehicle speed limit alarms or overspeed audible and visual alarms (mostly standalone versions), side marker lights, and rear wheel guards, which to some extent reduce the safety risks of engineering vehicle operation.

[0022] To address the aforementioned issues, this invention creatively proposes a safety management method for engineering vehicles. The aim is to establish a safety management platform for engineering vehicles by installing safety management equipment on them. This platform provides functions such as driver access control, vehicle speed management, vehicle positioning and trajectory monitoring, and driver behavior monitoring. It achieves unified management of driver authorization for vehicle use, improves driver operational standards during driving operations, and reduces the risk of safety accidents.

[0023] like Figure 1As shown, the safety management and control structure for engineering vehicles mainly consists of intelligent terminals, wireless speed sensors, positioning systems, audible and visual alarms, DMS cameras, LED vehicle speed displays, and a management and control platform.

[0024] The intelligent terminal receives information from the wireless speed sensor, positioning system, and DMS camera, performs data analysis, processing, and packaging, and connects to the management platform via a 4G network to upload vehicle speed and location information. It also receives commands from the platform regarding driver permissions and overspeed settings. The screen on the main unit displays driver information, real-time vehicle speed, real-time vehicle location, network status, and alarm prompts. It provides QR code scanning, fingerprint recognition, and card swiping functions, and can also work with the DMS camera to achieve driver facial recognition. The vehicle can be locked and unlocked by controlling the vehicle's starting circuit, and only drivers with vehicle permissions can unlock the vehicle after verification by the main unit.

[0025] The wireless speed sensor is installed on the wheel to collect the wheel's rotational angular velocity. Combined with the wheel diameter, it obtains the vehicle's real-time speed and supports sensing the vehicle's direction of travel, providing reversing reminders, recording speeding events, and recording the duration of travel based on the speed.

[0026] The aforementioned audible and visual alarm alerts drivers to drive safely and pedestrians to be aware of vehicle and personal safety. It can be set with different volume levels according to the usage environment and provides corresponding voice prompts for different events based on different scenarios, such as "Speeding, please be careful" when speeding, and "Please do not smoke, drive safely" when smoking is detected.

[0027] The DMS camera has a built-in AI algorithm to monitor unsafe behaviors of drivers during vehicle operation (such as making phone calls, smoking, closing eyes, yawning, and obstructing the camera) in real time, and provides facial recognition functionality.

[0028] The LED speed display screen is installed on the exterior of the vehicle to show the vehicle's real-time speed, providing external monitoring of the driver's behavior.

[0029] like Figure 2 As shown, the management platform adopts a browser-server (B / S) architecture, including a user interface, APIs, and a database. The platform receives vehicle status data uploaded by vehicle terminals in real time for statistical analysis, supporting functions such as early warning, recording of unsafe driver behaviors, statistical analysis of vehicle and driver efficiency, vehicle information management, and personnel information management and maintenance.

[0030] The driving status of engineering vehicles is collected by sensors and transmitted to intelligent terminals. The terminals process the data and communicate with the management and control platform via a wireless network to monitor and issue warnings in real time regarding vehicle speed, location, and driver behavior. The overall framework of the engineering vehicle safety management and control technology consists of three modules: the management and control platform, intelligent terminals, and engineering vehicles. Intelligent terminals are installed on engineering vehicles such as forklifts, flatbed trucks, and aerial work platforms. The main unit communicates with the management and control platform via a two-way wireless network for message uploading and command issuance. The management and control platform uses a database to store vehicle and personnel information, and provides users with a visual operating interface on both web and mobile devices. It exchanges data with the database through an Application Programming Interface (API). Engineering vehicles include forklifts, flatbed trucks, aerial work platforms, tractors, loaders, and other vehicle types.

[0031] The alarm record management system uploads events of speeding and unsafe driving behavior by drivers through smart terminals. The control platform records these events, including information such as the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation images.

[0032] The efficiency analysis mentioned above refers to the management platform's ability to perform efficiency analysis on vehicles from aspects such as driving time and usage efficiency, and generate efficiency analysis reports.

[0033] like Figure 3 As shown in the flowchart, the process described in the flowchart is as follows: the driver must first pass the authentication before starting the vehicle, and the background will automatically record the usage time.

[0034] The aforementioned access control system assigns a corresponding driver to each vehicle and grants the driver the permission to open the corresponding vehicle. Only drivers with the required permissions can scan a code to log in and open the vehicle. The permissions are transmitted to the smart terminal via command.

[0035] Driver access control includes methods such as scanning QR codes, swiping cards, and facial recognition.

[0036] Preferably, the scanning method involves the driver scanning the vehicle's QR code via a mobile app. The platform then compares the driver's and vehicle information. If the driver's information matches the vehicle's information, the vehicle can be started normally; otherwise, it cannot be started.

[0037] Preferably, the card-swiping method involves issuing a smart card to each driver, which stores the driver's relevant permission information. When starting the forklift, the driver must bring the smart card close to the smart terminal device. The system reads the information on the card and confirms the permissions before the forklift can be started. The smart card allows for convenient permission settings and management; for example, different operating permission ranges can be set for different drivers according to work needs.

[0038] Preferably, the facial recognition method uses a camera installed on the forklift to capture the driver's facial image, which is then compared with pre-stored authorized driver facial feature data in the system. Start-up is only permitted after confirming the driver's legitimacy. This technology can quickly and accurately identify the driver under different lighting and angle conditions, effectively preventing unauthorized personnel from starting the forklift.

[0039] Preferably, the vehicle speed management includes real-time acquisition and display of vehicle speed, overspeed alarm, overspeed limit and lock alarm, and background traceability and handling.

[0040] Preferably, the vehicle status monitoring module is used to view the online status and real-time location distribution of each vehicle, query vehicle usage records, including vehicle information and driver information, as well as start time, end time, and usage duration.

[0041] Preferably, the information management includes centralized maintenance of driver basic information (employee number, name, contact number, department, role permissions, etc.) and vehicle information (brand, model, serial number, license plate, affiliated department, etc.) on the platform.

[0042] Preferably, the permission management involves assigning a corresponding driver to each vehicle and granting the driver the permission to open the corresponding vehicle. Only drivers with the permission can scan a code to log in and open the vehicle. The permission is transmitted to the smart terminal via command.

[0043] In one embodiment, such as Figure 4 As shown, a method for safety management of engineering vehicles is provided, including the following steps: Step S1: Obtain the real-time angular velocity of the vehicle from the sensor installed on the wheel hub of the engineering vehicle, and determine the real-time speed of the engineering vehicle based on the angular velocity. Step S2: Locate the engineering vehicle and obtain its position coordinates; Step S3: Obtain the driver information of the engineering vehicle, and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle; Step S4: Based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records, monitor and issue warnings for the driver's speeding and unsafe driving behaviors in real time.

[0044] Specifically, by collecting the angular velocity of the vehicle's wheel hubs and combining it with the wheel diameter to calculate real-time speed, and by obtaining the vehicle's real-time location information through positioning, real-time monitoring of engineering vehicles can be achieved. This method ensures real-time and accurate monitoring of vehicle speed and location, providing reliable basic data for subsequent driving behavior analysis and early warning of speeding and unsafe driving behaviors. Simultaneously, by monitoring driver usage records and driving behavior, accidents can be effectively reduced, improving the safety and management efficiency of engineering vehicles.

[0045] In this embodiment, acquiring the real-time angular velocity of the vehicle collected by sensors mounted on the wheel hub of the engineering vehicle, and determining the real-time speed of the engineering vehicle based on the angular velocity, includes: The angular velocity of the vehicle in real time, collected by the sensor, is transmitted to the intelligent terminal of the engineering vehicle. The intelligent terminal processes the data and communicates with the management and control platform through a wireless network. Obtain the wheel diameter, and calculate the real-time speed of the engineering vehicle based on the angular velocity and the wheel diameter; The real-time speed is transmitted via 485 data and the real-time speed value is displayed on an external display screen.

[0046] This solution involves transmitting angular velocity data to a smart terminal and then transmitting it via RS-485. Combined with the wheel diameter, the real-time vehicle speed is accurately calculated and displayed on an external screen. This improves data processing accuracy and visualization, facilitating real-time monitoring of the vehicle's driving status by operators. Furthermore, communication between the smart terminal and the control platform enhances the stability of information transmission and the overall data interaction capabilities of the system.

[0047] In this embodiment, locating the engineering vehicle and obtaining its position coordinates includes: The engineering vehicle is located using the Global Positioning System (GPS) / BeiDou satellites, and its real-time location information is detected to obtain its coordinates within the factory area.

[0048] By utilizing the Global Positioning System (GPS) / BeiDou satellites for vehicle positioning, accurate vehicle location is ensured, providing precise geographic coordinates within the factory area. This positioning system not only improves positioning accuracy but also reduces positioning errors caused by signal interference or environmental factors to a certain extent. This allows the monitoring platform to more accurately track vehicle trajectories and provides reliable data support for subsequent safety management.

[0049] In this embodiment, obtaining the driver information of the engineering vehicle and determining the driver's usage record based on the verification information of the driver's use of the engineering vehicle includes: Obtain the driver information of the engineering vehicle, including employee number, name, contact number, department, and role permissions; Obtain information about engineering vehicles, including brand, model, serial number, license plate, and department to which they belong; Based on the verification information of the driver using the engineering vehicle, the driver information corresponding to each engineering vehicle is determined, and the engineering vehicle information is bound and authorized with the driver information. A corresponding driver is set for each vehicle, and the driver is granted the right to open the corresponding vehicle. Only drivers with the right can scan the code to log in and open the vehicle. The right is transmitted to the intelligent terminal of the engineering vehicle through command. The driver's overtime hours, vehicle movement time, and vehicle idle time are obtained from the verification information of the driver's use of the engineering vehicle as the driver's usage record.

[0050] By acquiring driver information and verifying driver identity, it ensures that only authorized drivers can operate engineering vehicles. Binding driver information to vehicle information enables matching and access control between vehicles and drivers. This identity verification mechanism effectively prevents the risk of unauthorized personnel driving vehicles, while detailed recording of driver usage (such as overtime hours and vehicle movement time) facilitates subsequent behavioral analysis and management decisions.

[0051] In this embodiment, the real-time monitoring and early warning of the driver's speeding and unsafe driving behavior based on the real-time speed and position coordinates of the engineering vehicle and the driver's usage records includes: The real-time speed and location coordinates of the engineering vehicles, as well as the driver's usage records, are uploaded to the management and control platform and displayed centrally. Based on the real-time speed, the location coordinates, and the driver's usage records, the control platform analyzes the driving behavior of each driver and monitors the speeding and unsafe driving behaviors of engineering vehicles in real time. The management platform analyzes the driving behavior of each driver to generate driver behavior records, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. It supports querying speeding events / driver violation events, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. The risk level is determined by analyzing the driving behavior of each driver through the control platform, and a preset speed alarm mode is executed based on the risk level.

[0052] By uploading real-time vehicle speed, location coordinates, and driver usage records to the management platform, the system can centrally display and analyze the data in real time. The platform can then monitor driver behavior based on this data, detect speeding and unsafe driving behaviors, and issue timely warnings. Through data aggregation and analysis, detailed reports on driver behavior, driving trajectories, and efficiency analysis can be generated, facilitating long-term behavior monitoring and management. This technical solution enhances the real-time monitoring capability of driver behavior, improves the accuracy of vehicle management, and increases system response speed.

[0053] In this embodiment, real-time monitoring of speeding and unsafe driving behavior of engineering vehicles includes: When speeding and / or unsafe driving behavior of engineering vehicles is detected, an audible and visual alarm is issued to the driver, and the alarm event is uploaded to the management and control platform. The intelligent terminal of the engineering vehicle uploads events related to the driver's speeding and unsafe driving behavior. The control platform records the driver's speeding and unsafe driving behavior, including the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation image information.

[0054] The monitoring of speeding and unsafe driving behaviors has been refined, and the integration of audible and visual alarms and event uploading functions has improved the real-time response capability to unsafe driving behaviors. By recording and uploading event details (such as vehicle, driver, speeding information, etc.), not only has the transparency of safety management been improved, but the operability of accident liability tracking and the convenience of post-accident review have also been enhanced, effectively reducing the probability of accidents.

[0055] In this embodiment, determining the risk level based on the analysis of each driver's driving behavior by the control platform includes: Based on the driver's driving behavior, obtain the actual distance d between the vehicle and the obstacle in front, obtain the minimum distance S between the vehicle and the obstacle in front without collision, obtain the driver's unsafe behavior coefficient b, obtain the vehicle's current speed V and the speed limit v of the current road segment where the vehicle is located. Determine the weighting coefficients α, β, and γ corresponding to distance risk, driver behavior risk, and speeding risk, respectively; The braking risk index R is calculated using R = α × S / d + β × b + γ × V / v. When the braking risk index R is greater than or equal to the preset trigger threshold, the corresponding risk level is determined based on the braking risk index R.

[0056] By introducing the calculation of the braking risk index R and combining it with multiple parameters such as driver behavior, distance between the vehicle and obstacles, and driving speed, potential hazards can be quantitatively analyzed. Based on the calculation results, the risk level is determined, and corresponding early warning measures (such as triggering speed limits or stopping the vehicle) are taken. This method enhances safety prevention capabilities, avoids potential accidents in advance, and effectively improves vehicle safety in complex environments.

[0057] The aforementioned safety management method for engineering vehicles calculates real-time speed by collecting the angular velocity of the vehicle's wheel hubs and combining it with the wheel diameter. Furthermore, it obtains the vehicle's real-time location information through positioning, enabling real-time monitoring of the engineering vehicles. This method ensures real-time and accurate monitoring of vehicle speed and location, providing reliable basic data for subsequent driving behavior analysis and early warning of speeding and unsafe driving behaviors. Simultaneously, by monitoring driver usage records and driving behavior, it effectively reduces accidents and improves the safety and management efficiency of engineering vehicles.

[0058] In one embodiment, such as Figure 5 As shown, a safety management and control system 10 for engineering vehicles is provided, including: a speed acquisition module 1, a positioning module 2, a driver information module 3, and a monitoring and early warning module 4.

[0059] The speed acquisition module 1 is used to acquire the real-time angular velocity of the vehicle collected by the sensor installed on the wheel hub of the engineering vehicle, and to determine the real-time speed of the engineering vehicle based on the angular velocity.

[0060] The positioning module 2 is used to locate the engineering vehicle and obtain its position coordinates.

[0061] The driver information module 3 is used to obtain driver information for driving the engineering vehicle and to determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle.

[0062] The monitoring and early warning module 4 is used to monitor and warn of the driver's speeding and unsafe driving behavior in real time based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records.

[0063] In this embodiment, acquiring the real-time angular velocity of the vehicle collected by sensors mounted on the wheel hub of the engineering vehicle, and determining the real-time speed of the engineering vehicle based on the angular velocity, includes: The angular velocity of the vehicle in real time, collected by the sensor, is transmitted to the intelligent terminal of the engineering vehicle. The intelligent terminal processes the data and communicates with the management and control platform through a wireless network. Obtain the wheel diameter, and calculate the real-time speed of the engineering vehicle based on the angular velocity and the wheel diameter; The real-time speed is transmitted via 485 data and the real-time speed value is displayed on an external display screen.

[0064] In this embodiment, locating the engineering vehicle and obtaining its position coordinates includes: The engineering vehicle is located using the Global Positioning System (GPS) / BeiDou satellites, and its real-time location information is detected to obtain its coordinates within the factory area.

[0065] In this embodiment, obtaining the driver information of the engineering vehicle and determining the driver's usage record based on the verification information of the driver's use of the engineering vehicle includes: Obtain the driver information of the engineering vehicle, including employee number, name, contact number, department, and role permissions; Obtain information about engineering vehicles, including brand, model, serial number, license plate, and department to which they belong; Based on the verification information of the driver using the engineering vehicle, the driver information corresponding to each engineering vehicle is determined, and the engineering vehicle information is bound and authorized with the driver information. A corresponding driver is set for each vehicle, and the driver is granted the right to open the corresponding vehicle. Only drivers with the right can scan the code to log in and open the vehicle. The right is transmitted to the intelligent terminal of the engineering vehicle through command. The driver's overtime hours, vehicle movement time, and vehicle idle time are obtained from the verification information of the driver's use of the engineering vehicle as the driver's usage record.

[0066] In this embodiment, the real-time monitoring and early warning of the driver's speeding and unsafe driving behavior based on the real-time speed and position coordinates of the engineering vehicle and the driver's usage records includes: The real-time speed and location coordinates of the engineering vehicles, as well as the driver's usage records, are uploaded to the management and control platform and displayed centrally. Based on the real-time speed, the location coordinates, and the driver's usage records, the control platform analyzes the driving behavior of each driver and monitors the speeding and unsafe driving behaviors of engineering vehicles in real time. The management platform analyzes the driving behavior of each driver to generate driver behavior records, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. It supports querying speeding events / driver violation events, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. The risk level is determined by analyzing the driving behavior of each driver through the control platform, and a preset speed alarm mode is executed based on the risk level.

[0067] In this embodiment, real-time monitoring of speeding and unsafe driving behavior of engineering vehicles includes: When speeding and / or unsafe driving behavior of engineering vehicles is detected, an audible and visual alarm is issued to the driver, and the alarm event is uploaded to the management and control platform. The intelligent terminal of the engineering vehicle uploads events related to the driver's speeding and unsafe driving behavior. The control platform records the driver's speeding and unsafe driving behavior, including the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation image information.

[0068] In this embodiment, determining the risk level based on the analysis of each driver's driving behavior by the control platform includes: Based on the driver's driving behavior, obtain the actual distance d between the vehicle and the obstacle in front, obtain the minimum distance S between the vehicle and the obstacle in front without collision, obtain the driver's unsafe behavior coefficient b, obtain the vehicle's current speed V and the speed limit v of the current road segment where the vehicle is located. Determine the weighting coefficients α, β, and γ corresponding to distance risk, driver behavior risk, and speeding risk, respectively; The braking risk index R is calculated using R = α × S / d + β × b + γ × V / v. When the braking risk index R is greater than or equal to the preset trigger threshold, the corresponding risk level is determined based on the braking risk index R.

[0069] The aforementioned engineering vehicle safety management system calculates real-time speed by collecting the angular velocity of the vehicle's wheel hubs and combining it with the wheel diameter. It also obtains the vehicle's real-time location information through positioning, enabling real-time monitoring of engineering vehicles. This method ensures real-time and accurate vehicle speed and location monitoring, providing reliable basic data for subsequent driving behavior analysis and early warning of speeding and unsafe driving behaviors. Simultaneously, by monitoring driver usage records and driving behavior, it effectively reduces accidents and improves the safety and management efficiency of engineering vehicles.

[0070] The engineering vehicle safety management and control system collects the driving status of engineering vehicles through sensors and transmits it to intelligent terminals. The terminals process the data and communicate with the management and control platform via a wireless network to monitor and issue warnings in real time regarding vehicle speed, location, and driver behavior. The overall framework of the engineering vehicle safety management and control system consists of three modules: the management and control platform, the intelligent terminals, and the engineering vehicles.

[0071] The management platform uses a database to store vehicle and personnel information. Web and mobile terminals provide users with a visual interface, and the platform communicates with the database via an Application Programming Interface (API). Intelligent terminals are installed on engineering vehicles such as forklifts, flatbed trucks, and aerial work platforms. The main unit communicates with the management platform via a wireless network for two-way wireless communication, uploading messages and issuing commands. Engineering vehicles include forklifts, flatbed trucks, aerial work platforms, tractors, and loaders.

[0072] The safety management system includes functions such as driver access control, vehicle speed management, location management, driver behavior monitoring, and data processing on the management platform.

[0073] Driver access management includes QR code scanning, card swiping, and facial recognition. The QR code scanning method involves the driver scanning the vehicle's QR code using a mobile app. The platform compares the driver's and vehicle information; if the information matches, the driver can start the vehicle; otherwise, the vehicle cannot be started. The card swiping method issues each driver a smart card containing their relevant access information. When starting the forklift, the driver must bring the smart card close to the smart terminal device. The system reads the card information and confirms access before starting the forklift. The smart card allows for convenient access control and management; for example, different driver access permissions can be set according to work needs. The facial recognition method uses a camera installed on the forklift to capture the driver's facial image and compares it with pre-stored authorized driver facial feature data in the system. Start-up is only allowed after confirming the driver's legitimacy. This technology can quickly and accurately identify drivers under different lighting and angle conditions, effectively preventing unauthorized personnel from starting the forklift.

[0074] Vehicle speed management includes real-time data acquisition and display of vehicle speed, overspeed alarms, overspeed limits, and locking alarms, as well as background traceability and handling. Real-time speed acquisition involves sensors mounted on the wheel hubs collecting the vehicle's real-time angular velocity, which is then calculated to obtain the forklift's real-time speed. Real-time speed display uses 485 data transmission to show the speed value on an external display screen. Overspeed alarms, speed limits, and locking are implemented through hardware such as smart terminals, audible and visual alarms, and speed limiters, executing logical judgments for vehicle speed management. The control platform has three preset speed alarm modes, and speed settings are transmitted to the smart terminal via commands. Background traceability and handling involve centralized analysis and processing of vehicle operation data on the platform.

[0075] Driver behavior monitoring refers to the system identifying unsafe driver behavior and then providing voice prompts via audible and visual alarms. Videos before and after the alarm are stored locally, while violations and images are simultaneously uploaded to the management platform to help reduce accidents caused by human error.

[0076] The management and control platform centrally displays, warns, and analyzes real-time monitoring data of vehicle driving processes. Managers can maintain vehicle and driver information, bind and authorize vehicles and drivers, view real-time vehicle status, query and process speeding / driver violation incidents, query vehicle driving trajectories, query vehicle inspection / maintenance records, analyze driver work efficiency, and analyze vehicle usage efficiency through the backend.

[0077] The system centrally displays, alerts, and analyzes real-time monitoring data of the vehicle's operation, all on a single platform dashboard. This dashboard provides a clear overview of the vehicle's overall operation, including modules for vehicle status monitoring, information management, access control, alarm record management, and efficiency analysis.

[0078] The vehicle status monitoring module allows you to view the online status and real-time location distribution of each vehicle, query vehicle usage records, including vehicle and driver information, as well as start time, end time, and usage duration.

[0079] Information management includes centralized maintenance of basic driver information (employee ID, name, contact number, department, role permissions, etc.) and vehicle information (brand, model, serial number, license plate, department, etc.) on the platform.

[0080] Access control involves assigning a driver to each vehicle and granting the driver the permission to open the corresponding vehicle. Only drivers with the necessary permissions can scan a code to log in and open the vehicle. The permissions are transmitted to the smart terminal via commands.

[0081] The alarm record management system uploads events of speeding and unsafe driving behavior by drivers through smart terminals. The control platform records these events, including information such as the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation images.

[0082] Compared to traditional methods of collecting data from dashboard mileage or timers, new IoT data takes into account drivers' overtime hours, travel time, and idle time, further enhancing the comprehensive analysis of vehicle efficiency.

[0083] (1) Data acquisition and transmission For engineering vehicles, accurate vehicle status data collection is fundamental. This includes, but is not limited to, the vehicle's speed and mechanical parameters. For example, high-precision sensors are installed at key vehicle locations, such as speed sensors at the wheel hubs, to obtain real-time vehicle speed. This data needs to be transmitted to the control system's backend in a stable and efficient manner. Simultaneously, the sensors employ automatic sleep logic to extend the equipment's lifespan, and a signal receiving and amplification module is added to the terminal side to reduce data loss during transmission, ensuring the timeliness and accuracy of data transmission.

[0084] This sensor is a new type of high-precision, highly interference-resistant speed sensor, whose unique structure and working principle are patentable. This sensor employs special materials or signal processing technology, enabling it to accurately acquire vehicle speed information even in harsh engineering environments (such as high dust levels and strong electromagnetic interference). The speed sensor utilizes special anti-interference materials and a shielded structure design, and through optimized internal signal processing circuitry, it can still accurately acquire wheel angular velocity even in dusty and electromagnetically interfered environments, with the acquisition error controlled within 3%.

[0085] Given the usage scenario of the equipment, the surrounding environment contains a large amount of metal material. The gyroscope module within the speed sensor is significantly affected by the surrounding environment. However, information loss can be addressed through unique antenna design and communication protocol optimization. The communication equipment incorporates a low-frequency diffraction antenna and a redundant error correction protocol. To address the signal shielding issue caused by the metal structure, a communication frequency band with strong diffraction capability is selected, and a data retransmission mechanism is added, reducing the wireless transmission packet loss rate to below 1%. This solves the industry-wide problem of gyroscope module interference from the metal environment.

[0086] (2) Intelligent Analysis and Decision Module Data analysis algorithms are the core of the system. By analyzing large amounts of collected data, the system can identify anomalies and potential safety risks. The decision-making mechanism then takes corresponding measures based on the analysis results. For example, when the system judges unsafe driver behavior, it adds a confirmation mechanism, performs intelligent analysis of unsafe behavior through interval snapshots, and conducts multiple judgments to reduce the false alarm rate.

[0087] The automatic braking decision-making algorithm based on multi-factor comprehensive judgment considers various factors such as vehicle speed and unsafe driver behavior, and calculates the vehicle's state through a complex mathematical model. This multi-dimensional risk collaborative judgment overcomes the problem of "false alarms / missed alarms in single-factor warnings."

[0088] (3) System integration and compatibility The engineering vehicle safety management system needs to be integrated with different types and brands of engineering vehicles. This requires the system to have good hardware and software compatibility. On the hardware side, it must be adaptable to the electrical systems and mechanical structures of different vehicles, facilitating the installation of various sensors and communication equipment. Integration with other related systems must also be considered, such as the overall on-site dispatch system and safety management system. Integration with these systems enables information sharing and collaborative work, improving the safety and efficiency of the entire project operation.

[0089] The technical effects of this application are as follows: 1) Basic security guarantee To reduce the probability of accidents, protect the lives of people, reduce property damage, ensure that vehicle operation complies with relevant laws and standards, and solidify the bottom line of safety and compliance.

[0090] 2) Secure collaboration across all scenarios Break down data barriers between people, vehicles, and the environment to achieve dynamic interactive early warning and linkage among multiple entities, eliminate blind spots in local monitoring, and improve the overall safety level of the site (factory).

[0091] 3) Intelligent efficiency upgrade Predictive maintenance reduces failure delays, intelligent scheduling optimizes resource allocation, and adds new energy.

[0092] 4) Accurate tracing of responsibility Establish a hierarchical authority system and a full-process operation traceability mechanism to clarify the responsibilities of each entity and provide data support for accident analysis and management optimization.

[0093] Specific limitations regarding the engineering vehicle safety management system can be found in the limitations of the engineering vehicle safety management methods described above, and will not be repeated here. Each module in the aforementioned engineering vehicle safety management system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0094] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 6As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores safety management data for engineering vehicles. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a safety management method for engineering vehicles.

[0095] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0096] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: The real-time angular velocity of the vehicle is acquired by sensors installed on the wheel hubs of the engineering vehicle, and the real-time speed of the engineering vehicle is determined based on the angular velocity. The engineering vehicle is located to obtain its position coordinates. Obtain the driver information of the engineering vehicle, and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle; Based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records, the system monitors and issues warnings in real time for the driver's speeding and unsafe driving behaviors.

[0097] For specific limitations on the steps a processor takes when executing a computer program, please refer to the limitations on the methods for safety management of engineering vehicles mentioned above, which will not be repeated here.

[0098] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: The real-time angular velocity of the vehicle is acquired by sensors installed on the wheel hubs of the engineering vehicle, and the real-time speed of the engineering vehicle is determined based on the angular velocity. The engineering vehicle is located to obtain its position coordinates. Obtain the driver information of the engineering vehicle, and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle; Based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records, the system monitors and issues warnings in real time for the driver's speeding and unsafe driving behaviors.

[0099] For specific limitations on the steps implemented when a computer program is executed by a processor, please refer to the limitations on the methods for safety management of engineering vehicles mentioned above, which will not be repeated here.

[0100] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0101] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0102] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for safety management and control of engineering vehicles, characterized in that, include: The real-time angular velocity of the vehicle is acquired by sensors installed on the wheel hubs of the engineering vehicle, and the real-time speed of the engineering vehicle is determined based on the angular velocity. The engineering vehicle is located to obtain its position coordinates; Obtain the driver information of the engineering vehicle, and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle; Based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records, the system monitors and issues warnings in real time for the driver's speeding and unsafe driving behaviors.

2. The method for safety management and control of engineering vehicles according to claim 1, characterized in that, The step of acquiring the real-time angular velocity of the vehicle from sensors mounted on the wheel hubs of the engineering vehicle, and determining the real-time speed of the engineering vehicle based on the angular velocity, includes: The angular velocity of the vehicle in real time, collected by the sensor, is transmitted to the intelligent terminal of the engineering vehicle. The intelligent terminal processes the data and communicates with the management and control platform through a wireless network. Obtain the wheel diameter, and calculate the real-time speed of the engineering vehicle based on the angular velocity and the wheel diameter; The real-time speed is transmitted via 485 data and the real-time speed value is displayed on an external display screen.

3. The method for safety management and control of engineering vehicles according to claim 1, characterized in that, The step of locating the engineering vehicle and obtaining its position coordinates includes: The engineering vehicle is located using the Global Positioning System / BeiDou satellite, and its real-time location information is detected to obtain its coordinates within the factory area.

4. The method for safety management and control of engineering vehicles according to claim 1, characterized in that, The step of obtaining driver information for the engineering vehicle and determining the driver's usage record based on the verification information of the driver's use of the engineering vehicle includes: Obtain the driver information of the engineering vehicle, including employee number, name, contact number, department, and role permissions; Obtain information about engineering vehicles, including brand, model, serial number, license plate, and department to which they belong; Based on the verification information of the driver using the engineering vehicle, the driver information corresponding to each engineering vehicle is determined, and the engineering vehicle information is bound and authorized with the driver information. A corresponding driver is set for each vehicle, and the driver is granted the right to open the corresponding vehicle. Only drivers with the right can scan the code to log in and open the vehicle. The right is transmitted to the intelligent terminal of the engineering vehicle through command. The driver's overtime hours, vehicle movement time, and vehicle idle time are obtained from the verification information of the driver's use of the engineering vehicle as the driver's usage record.

5. The method for safety management and control of engineering vehicles according to claim 1, characterized in that, The real-time monitoring and early warning of driver speeding and unsafe driving behavior based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records includes: The real-time speed and location coordinates of the engineering vehicles, as well as the driver's usage records, are uploaded to the management and control platform and displayed centrally. Based on the real-time speed, the location coordinates, and the driver's usage records, the control platform analyzes the driving behavior of each driver and monitors the speeding and unsafe driving behaviors of engineering vehicles in real time. The management platform analyzes the driving behavior of each driver to generate driver behavior records, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. It supports querying speeding events / driver violation events, engineering vehicle operation trajectories, efficiency analysis reports, and vehicle inspection / maintenance records. The risk level is determined by analyzing the driving behavior of each driver through the control platform, and a preset speed alarm mode is executed based on the risk level.

6. The method for safety management and control of engineering vehicles according to claim 5, characterized in that, Real-time monitoring of speeding and unsafe driving behavior of engineering vehicles includes: When speeding and / or unsafe driving behavior of engineering vehicles is detected, an audible and visual alarm is issued to the driver, and the alarm event is uploaded to the management and control platform. The intelligent terminal of the engineering vehicle uploads events related to the driver's speeding and unsafe driving behavior. The control platform records the driver's speeding and unsafe driving behavior, including the vehicle, driver, location, speed of the speeding incident, type of unsafe driving behavior, and violation image information.

7. The method for safety management and control of engineering vehicles according to claim 5, characterized in that, The step of determining the risk level based on the analysis of each driver's driving behavior results by the control platform includes: Based on the driver's driving behavior, obtain the actual distance d between the vehicle and the obstacle in front, obtain the minimum distance S between the vehicle and the obstacle in front without collision, obtain the driver's unsafe behavior coefficient b, obtain the vehicle's current speed V and the speed limit v of the current road segment where the vehicle is located. Determine the weighting coefficients α, β, and γ corresponding to distance risk, driver behavior risk, and speeding risk, respectively; The braking risk index R is calculated using R = α × S / d + β × b + γ × V / v. When the braking risk index R is greater than or equal to the preset trigger threshold, the corresponding risk level is determined based on the braking risk index R.

8. A safety control system for engineering vehicles, characterized in that, The system includes: The speed acquisition module is used to acquire the real-time angular velocity of the vehicle from the sensors installed on the wheel hub of the engineering vehicle, and to determine the real-time speed of the engineering vehicle based on the angular velocity. The positioning module is used to locate the engineering vehicle and obtain its position coordinates. The driver information module is used to obtain the driver information of the engineering vehicle and determine the driver's usage record based on the verification information of the driver's use of the engineering vehicle. The monitoring and early warning module is used to monitor and issue early warnings for the driver's speeding and unsafe driving behavior in real time based on the real-time speed and location coordinates of the engineering vehicle and the driver's usage records.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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