Vehicle informatization management and control method, device, equipment, medium and product

Abstract

The invention discloses a vehicle informatization management and control method, device and equipment, a medium and a product. The method comprises the following steps: acquiring transportation scheduling information of a ship construction area in a future duration; the road condition information of the ship building area at the current moment and the first vehicle attribute information of the first to-be-dispatched vehicle serve as initial simulation parameters, and analogue simulation is conducted on the transportation dispatching information; in response to an event of which the analog simulation result does not meet a preset condition, adjusting the transportation scheduling information according to a time limit constraint condition and a cost constraint condition to obtain adjusted transportation scheduling information; and sending scheduling control information to the second to-be-scheduled vehicle according to the adjusted transportation scheduling information, so that the second to-be-scheduled vehicle executes a transportation task based on the received scheduling control information. According to the technical scheme, the transportation scheduling information conforming to the actual situation is determined in advance in combination with analogue simulation and optimization adjustment modes, and the to-be-scheduled vehicle is dispatched according to the transportation scheduling information.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering vehicle management in the shipbuilding industry, and particularly relates to a vehicle information-based control method, device, equipment, medium, and product. Background Art

[0002] Shipbuilding is a typical discrete production. Due to the large spatial scale of the shipyard, complex construction processes, and a large number of intermediate products, a large amount of assembly and logistics transfer work of intermediate products (parts) is required. The logistics transportation of such parts is mainly completed by engineering vehicles.

[0003] Currently, engineering vehicles used for logistics transportation are usually arranged temporarily through mobile communication without prior systematic arrangement, resulting in low vehicle dispatching efficiency. In addition, due to the lack of effective monitoring and real-time feedback during the distribution process, some vehicles are running empty or parked, while some vehicles are in a busy state, and the task loads of each vehicle are extremely unbalanced. Summary of the Invention

[0004] The present invention provides a vehicle information-based control method, device, equipment, medium, and product to achieve the effect of pre-determining transportation scheduling information that conforms to the actual situation by combining simulation and optimization adjustment methods, and dispatching the vehicles to be scheduled in the shipbuilding area based on the transportation scheduling information.

[0005] According to one aspect of the present invention, a vehicle information-based control method is provided. The method is applied to a vehicle control system and includes:

[0006] Obtaining transportation scheduling information corresponding to the shipbuilding area within a future time period; wherein, the transportation scheduling information includes first vehicle scheduling information corresponding to at least one first vehicle to be scheduled;

[0007] Using the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one of the first vehicles to be scheduled as initial simulation parameters, and performing simulation on the transportation scheduling information; wherein, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information;

[0008] In response to an event that the simulation result does not meet the preset condition, adjusting the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes second vehicle scheduling information corresponding to at least one second vehicle to be scheduled;

[0009] Send scheduling control information to the corresponding second vehicle to be scheduled according to the adjusted transportation scheduling information, so that the second vehicle to be scheduled executes a transportation task based on the received scheduling control information.

[0010] According to another aspect of the present invention, a vehicle information management and control device is provided. The device is configured in a vehicle management and control system and includes:

[0011] A scheduling information acquisition module, configured to acquire transportation scheduling information corresponding to a shipbuilding area within a future time period; wherein, the transportation scheduling information includes first vehicle scheduling information corresponding to at least one first vehicle to be scheduled;

[0012] A scheduling information simulation module, configured to use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one of the first vehicles to be scheduled as initial simulation parameters to perform simulation on the transportation scheduling information; wherein, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information;

[0013] A scheduling information adjustment module, configured to respond to an event that the simulation result does not meet a preset condition, and adjust the transportation scheduling information according to a time limit constraint condition and a cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes second vehicle scheduling information corresponding to at least one second vehicle to be scheduled;

[0014] A scheduling control information sending module, configured to send scheduling control information to the corresponding second vehicle to be scheduled according to the adjusted transportation scheduling information, so that the second vehicle to be scheduled executes a transportation task based on the received scheduling control information.

[0015] According to another aspect of the present invention, an electronic device is provided. The electronic device includes:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor, so that the at least one processor can execute the vehicle information management and control method according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the vehicle informatization control method according to any embodiment of the present invention when executed.

[0020] According to another aspect of the present invention, there is provided a computer program product including a computer program which implements the vehicle informatization control method according to any embodiment of the present invention when executed by a processor.

[0021] The technical solution of the embodiment of the present invention is to obtain the transportation scheduling information corresponding to the shipbuilding area in the future time period; wherein, the transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; further, the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled are used as the initial simulation parameters to simulate the transportation scheduling information, and the transportation scheduling information is adjusted according to the simulation result, which helps to reasonably arrange vehicles, optimize the transportation route, improve the utilization efficiency of transportation resources, so that the limited transportation resources can be more fully utilized and the transportation cost can be reduced; further, in response to the event that the simulation result does not meet the preset conditions, the transportation scheduling information is adjusted according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes the second vehicle scheduling information corresponding to at least one second vehicle to be scheduled, making the transportation plan more reliable, reducing problems such as transportation delays and cargo damage caused by unreasonable plans, and improving the stability and safety of transportation in the shipbuilding area; further, according to the adjusted transportation scheduling information, scheduling control information is sent to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled performs the transportation task based on the received scheduling control information, solving the problems of low vehicle dispatching efficiency and unbalanced vehicle tasks in the related art, realizing the effect of pre-determining the transportation scheduling information that conforms to the actual situation by combining simulation and optimization adjustment methods, and dispatching the vehicles to be scheduled in the shipbuilding area according to the transportation scheduling information, realizing the intelligentization of vehicle scheduling management, improving the scientificity and accuracy of scheduling management, providing favorable support for the intelligent management of the shipbuilding area, and improving the rationality and scientificity of vehicle dispatching, improving the efficiency of vehicle dispatching, and reducing the dispatching time and labor cost.

[0022] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 It is a flowchart of a vehicle informatization control method provided according to an embodiment of the present invention;

[0025] Figure 2 It is a flowchart of a vehicle informatization control method provided according to an embodiment of the present invention;

[0026] Figure 3 It is a schematic structural diagram of a vehicle informatization control device provided according to an embodiment of the present invention;

[0027] Figure 4 It is a schematic structural diagram of an electronic device for implementing the vehicle informatization control method of the embodiments of the present invention. Detailed implementation manners

[0028] In order to enable those skilled in the art of this technology to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0030] Figure 1It is a flowchart of a vehicle informatization control method provided by an embodiment of the present invention. This embodiment is applicable to the situation of dispatching vehicles so that the vehicles perform corresponding tasks. This method is applied to a vehicle control system and can be executed by a vehicle informatization control device. The vehicle informatization control device can be implemented in the form of hardware and / or software and can be configured in the terminal and / or server of the vehicle control system. As Figure 1 shown, the method includes:

[0031] S110. Obtain the transportation scheduling information corresponding to the shipbuilding area within a future time period; wherein, the transportation scheduling information includes first vehicle scheduling information corresponding to at least one first vehicle to be scheduled.

[0032] It should be noted that the technical solution provided in this embodiment can be applied to a vehicle control system. Among them, the vehicle control system is a system for centrally managing and controlling vehicles, responsible for coordinating vehicle dispatching, monitoring vehicle status, and executing operation instructions such as vehicle startup, and is the core hub of the entire vehicle management process. In this embodiment, the vehicle control system can be used for simulating transportation scheduling information, dispatching and managing vehicles, remotely controlling vehicles, managing vehicle safety, detecting vehicle driving status, etc.

[0033] Among them, the shipbuilding area can be a specific area in the shipyard for different ship manufacturing processes. Generally, the shipbuilding area includes the following main parts: steel pretreatment area, lofting and cutting area, processing and forming area, block assembly area, berth / dock general assembly area, and painting area. It should be noted that the shipyard has a large space, and shipbuilding is a discrete production process with a complex construction process flow and a large number of components involved in the intermediate processes. Therefore, a large amount of component assembly and logistics transfer work is required, that is, schedulable vehicles are needed to perform transportation tasks within the shipbuilding area. The future time period can be any time interval after the current moment. Optionally, the future time period is one day, three days, or one week in the future. Exemplarily, assuming the current moment is XX month XX day, the future time period can be from 9:00 to 18:00 the next day. The transportation scheduling information can be used to characterize the vehicle scheduling strategy in the shipbuilding area during the future time period. The first vehicle to be scheduled can be a schedulable vehicle within the shipbuilding area, and this vehicle can transport shipbuilding materials during the future time period. The first vehicle to be scheduled can be any schedulable vehicle within the shipbuilding area. It should be noted that the first vehicle to be scheduled is the vehicle arranged in the transportation scheduling information to perform the transportation task. The first vehicle scheduling information refers to various data and information involved in the vehicle scheduling management process, which is used to reasonably arrange and control the operation of the vehicle to meet the transportation requirements. The first vehicle scheduling information can include vehicle basic information, driver information, and transportation task information, etc. Exemplarily, the vehicle basic information can include the vehicle model, license plate identification, or load capacity, etc. The transportation task information includes the departure place, destination, transportation route, cargo information, transportation time requirement, loading and unloading time limit of the transportation task, etc.

[0034] In specific implementation, in order to improve the shipbuilding efficiency, the vehicle scheduling situation in the shipbuilding area during the future time period can be planned in advance, that is, the transportation scheduling information in the shipbuilding area during the future time period is determined, and this transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled. Further, in order to verify the feasibility of the determined transportation scheduling information, the determined transportation scheduling information can be obtained, and then, the obtained transportation scheduling information can be verified to determine the transportation scheduling information that can be actually executed.

[0035] S120: Use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the initial simulation parameters to perform a simulation of the transportation scheduling information.

[0036] Among them, the current moment can be the moment corresponding to the planning of the transportation scheduling situation in the future time period of the shipbuilding area. The road condition information can refer to the information on the traffic conditions of the roads and waters related to shipbuilding within and around the shipbuilding area. The road condition information includes land road condition information and / or waterway navigation condition information. The land road condition information can include road flatness, road load-bearing capacity, road width and turning radius, road signs and road congestion conditions, etc. The waterway navigation condition information can include channel depth and width, water flow and tide conditions, and navigation density, etc. The first vehicle attribute information can be understood as various attribute information of the first vehicle to be scheduled related to the execution of the transportation task at the current moment. Optionally, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information. The vehicle load information can be used to characterize the vehicle load state of the first vehicle to be scheduled at the current moment. The vehicle load information can include information such as whether the vehicle is loaded, the types, weights, and volumes of the building materials carried. The vehicle driving information is used to characterize the vehicle operation state of the first vehicle to be scheduled at the current moment. The vehicle driving information can refer to the state of the vehicle being in motion, stationary, idling, or loading and unloading building materials, etc. The vehicle component usage information can be used to characterize the vehicle health condition of the first vehicle to be scheduled at the current moment. The vehicle component usage information can include information such as engine operation parameters, tire pressure, and brake system status that can reflect whether the vehicle has faults or needs maintenance. The vehicle position information is the specific position of the first vehicle to be scheduled within the shipbuilding area. The starting simulation parameters refer to a set of data used to set the initial state and conditions of the model during the simulation. Taking the road condition information and the first vehicle attribute information of at least one first vehicle to be scheduled as the starting simulation parameters is to enable the simulation model to start from the road conditions and vehicle states reflecting the real situation at the current moment and simulate the transportation scheduling process, so that the simulation results have more practical reference value.

[0037] In this embodiment, in order to be able to pre-test the obtained transportation scheduling information to test its feasibility, the transportation scheduling information can be simulated. In order to be able to truly simulate the road conditions in the shipbuilding area and the vehicle states of each first vehicle to be scheduled at the current moment during the simulation, the road condition information corresponding to the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled at the current moment can be obtained. Further, the obtained road condition information and the first vehicle attribute information of at least one first vehicle to be scheduled can be used as the starting simulation parameters, and the transportation scheduling information can be simulated according to the preset simulation method. Among them, the simulation method can include: constructing a simulation model to perform simulation based on the simulation; or, simulating the transportation scheduling information by establishing a data parsing model; or, performing simulation based on the preset scheduling rules, etc.

[0038] Optionally, use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the initial simulation parameters to simulate the transportation scheduling information, including: obtaining the road condition information corresponding to the shipbuilding area at the current moment and the first vehicle attribute information corresponding to at least one first vehicle to be scheduled at the current moment; using the road condition information and the first vehicle attribute information corresponding to at least one first vehicle to be scheduled at the current moment as the initial simulation parameters to construct a regional simulation model corresponding to the shipbuilding area; inputting the transportation scheduling information into the regional simulation model to obtain a simulation result; wherein, the simulation result includes the task execution duration and transportation safety information; in the case where the task execution duration is less than the preset duration threshold and the transportation safety information reaches the preset safety threshold, it is determined that the simulation result meets the preset conditions; in the case where the task execution duration is not less than the preset time threshold or the transportation safety information does not reach the preset safety threshold, it is determined that the simulation result does not meet the preset conditions.

[0039] Among them, the regional simulation model can be a virtual model constructed according to the actual layout, road conditions, etc. of the shipbuilding area, and is used to simulate the transportation scheduling process of vehicles in this area. The simulation result can be the result obtained after the transportation scheduling information is input into the regional simulation model, and this result includes the task execution duration, transportation safety information, etc. The task execution duration can be the time elapsed from when the vehicle starts to execute the transportation task to the completion of the task. The transportation safety information can be the information reflecting the safety status of the vehicle during transportation, such as whether there is a collision risk, whether traffic rules are violated, the vehicle failure probability, etc. The preset duration threshold can be a pre-set time standard used to measure whether the task execution duration is reasonable. The preset safety threshold can be a pre-set standard used to measure whether the transportation safety status meets the standard.

[0040] In specific implementation, road condition information of the shipbuilding area at the current moment can be obtained in real time through devices such as camera devices and sensors installed in the shipbuilding area. At the same time, first vehicle attribute information of at least one first vehicle to be scheduled can be obtained through the vehicle control system. Further, based on the collected road condition information and the actual layout of the shipbuilding area, a regional simulation corresponding to the shipbuilding area can be constructed, and the first vehicle attribute information can be used as the initial simulation parameter of the regional simulation model. Further, the obtained transportation scheduling information can be input into the constructed regional simulation model, and the regional simulation model can be run to perform simulation operation according to the input transportation scheduling information and the set initial simulation parameters. Further, after the simulation operation, simulation results are obtained, including task execution duration, transportation safety information, etc. Further, the obtained task execution duration can be compared with a preset duration threshold, and at the same time, the transportation safety information can be compared with a preset safety threshold. If the task execution duration is less than the preset duration threshold and the transportation safety information reaches the preset safety threshold, it is determined that the simulation results meet the preset conditions; otherwise, if the task execution duration is not less than the preset time threshold or the transportation safety information does not reach the preset safety threshold, it is determined that the simulation results do not meet the preset conditions.

[0041] S130. In response to the event that the simulation results do not meet the preset conditions, adjust the transportation scheduling information according to the time limit constraint conditions and cost constraint conditions to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes vehicle scheduling information corresponding to at least one second vehicle to be scheduled.

[0042] Among them, the preset condition can be a condition preset for measuring whether the simulation result meets the dispatching application standard. In this embodiment, when the simulation result includes the task execution duration and transportation safety information, the simulation result not meeting the preset condition may refer to the case where the task execution duration is greater than or equal to the preset duration threshold, or the transportation safety information does not reach the preset safety threshold. It should be noted that the event that the simulation result does not meet the preset condition can be automatically triggered and executed when it is detected that the simulation result does not meet the preset condition; or, it can also be triggered and executed when the user performs an operation on the vehicle control system for the event. This embodiment does not make specific limitations on this. The time limit constraint condition can be a time limit condition set according to actual business requirements. For example, the time limit constraint condition can be that the goods must be delivered to the destination before a certain specific time point, or the total duration of a vehicle to complete a transportation task cannot exceed a certain time, etc. The cost constraint condition can be a constraint condition related to transportation costs, including vehicle fuel costs, labor costs, equipment loss costs, etc., and it is required that when adjusting the transportation dispatching information, the transportation cost cannot exceed a certain value. The second vehicle to be dispatched can be another batch (or multiple vehicles) of vehicles waiting to be dispatched determined for re-arranging the transportation task when the simulation result does not meet the preset condition, and this batch of vehicles is different from the previous first vehicle to be dispatched.

[0043] In this embodiment, when the simulation result of the transportation dispatching information does not meet the preset condition, the transportation dispatching information can be adjusted. When adjusting the transportation dispatching information, problems such as time limit constraints and cost constraints can be considered simultaneously. Therefore, a multi-objective optimization algorithm can be used to adjust the transportation dispatching information to obtain the adjusted transportation dispatching information.

[0044] Optionally, adjusting the transportation dispatching information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation dispatching information includes: determining the target constraint condition according to the time limit constraint condition, the cost constraint condition, and the corresponding condition weights; obtaining the third vehicle attribute information of at least one third vehicle to be dispatched in the shipbuilding area at the current moment, and processing the road condition information, at least one third vehicle attribute information, and the transportation dispatching information based on the preset optimization algorithm, the efficiency optimization objective function, and the target constraint condition to obtain the information to be simulated and dispatched; performing simulation on the information to be simulated and dispatched, and when the simulation result meets the preset condition, using the information to be simulated and dispatched as the adjusted transportation dispatching information.

[0045] Among them, the conditional weight can be a value used to measure the relative importance of the time limit constraint condition and the cost constraint condition. For example, if the shipbuilding construction period is tight, the weight of the time limit constraint condition may be set relatively high. The third vehicle to be scheduled can be all schedulable vehicles in the shipbuilding area. At least one of the third vehicles to be scheduled includes at least one first vehicle to be scheduled. The third vehicle attribute information can be understood as various attribute information of the third vehicle to be scheduled associated with the execution of the transportation task at the current moment. Optionally, the third vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information. The preset optimization algorithm can be any optimization algorithm, which is an algorithm used to find the optimal solution or an approximate optimal solution under given constraint conditions. Optionally, the preset optimization algorithm includes a gradient descent algorithm, an iterative optimization algorithm, a simulated annealing algorithm, or a genetic algorithm, etc. The efficiency optimization objective function can be a function expression, which is used to measure the efficiency of the transportation scheduling scheme, usually with the shortest transportation time, the lowest transportation cost, the highest vehicle utilization rate, etc. as the objectives.

[0046] In a specific implementation, when it is detected that the simulation result of the transportation scheduling information does not meet the preset conditions, an event that the simulation result does not meet the preset conditions can be triggered. Further, the time limit constraint condition and the cost constraint condition can be determined, and corresponding weights can be assigned to the time limit constraint condition and the cost constraint condition. Then, the two constraint conditions are integrated into one target constraint condition through weighted calculation. Further, through the sensors and vehicle terminals installed on the third vehicle to be scheduled, the third vehicle attribute information of at least one third vehicle to be scheduled in the shipbuilding area at the current moment can be collected to ensure the accuracy and real-time nature of the obtained vehicle attribute information. Further, the obtained road condition information of the shipbuilding area at the current moment, at least one third vehicle attribute information, and the original transportation scheduling information are input into an optimization model based on the preset optimization algorithm. With the target constraint condition as the limit and the efficiency optimization objective function as the optimization direction, through the search and iterative operations of the preset optimization algorithm, each parameter of the transportation scheduling strategy is adjusted and optimized. After multiple rounds of calculation, the to-be-simulated scheduling information is finally generated. Further, the to-be-simulated scheduling information can be input into the area simulation model of the shipbuilding area for simulation operation to simulate the actual transportation process of the vehicle under this scheduling strategy to obtain the simulation result. Further, the simulation result can be compared with the preset conditions. If the simulation result does not meet the preset conditions, the process of adjusting the to-be-simulated scheduling information according to the time limit constraint condition and the cost constraint condition can be continued until the simulation result meets the preset conditions. Furthermore, the to-be-simulated scheduling information obtained at this time can be used as the adjusted transportation scheduling information.

[0047] S140. According to the adjusted transportation scheduling information, send scheduling control information to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled performs transportation tasks based on the received scheduling control information.

[0048] Among them, the scheduling control information may be information for controlling the movement of the second vehicle to be scheduled. The scheduling control information may include multiple pieces of information associated with vehicle transportation scheduling. For example, it includes vehicle transportation routes, departure times, arrival times, loading and unloading operation instructions, etc.

[0049] In a specific implementation, the obtained adjusted transportation scheduling information includes second vehicle scheduling information corresponding to at least one second vehicle to be scheduled. Furthermore, after obtaining the adjusted transportation scheduling information, scheduling control information corresponding to at least one second vehicle to be scheduled can be generated based on the transportation scheduling information, and the generated scheduling control information is sent to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled can perform transportation tasks based on the scheduling control information when receiving the scheduling control information.

[0050] In practical applications, when the second vehicle to be scheduled performs transportation tasks, there may be a situation where an unauthorized driving object randomly starts the second vehicle to be scheduled, which may lead to potential safety hazards in vehicle management.

[0051] In view of the above situation, in this embodiment, before starting the second vehicle to be scheduled, the driving object driving the second vehicle to be scheduled can be verified first, and then, when the verification is passed, the second vehicle to be scheduled is started.

[0052] Based on this, before performing transportation tasks based on the received scheduling control information, it further includes: for at least one second vehicle to be scheduled, collect object feature data of the driving object corresponding to the second vehicle to be scheduled through the vehicle terminal of the second vehicle to be scheduled; compare the collected object feature data with the preset feature data pre-stored in the vehicle terminal, and when the comparison result is a pass, start the second vehicle to be scheduled through the vehicle management system.

[0053] Among them, the preset feature data pre-stored in the vehicle terminal is received from the vehicle management system.

[0054] In this embodiment, the vehicle terminal may be a device installed on a vehicle. This device has functions such as data collection, storage, and interaction, and can be used to obtain object feature data of a driving object. The object feature data may be relevant data for identifying the driving object. Optionally, the object feature data includes facial feature data, etc. The preset feature data may be pre-stored in the vehicle terminal and belongs to the object feature data of the driving object who is allowed to drive the second vehicle to be scheduled. The preset feature data may be used as a standard for verification and comparison, and only the driving object that matches the preset feature data is allowed to start the second vehicle to be scheduled.

[0055] In a specific implementation, for at least one second vehicle to be scheduled, before the second vehicle to be scheduled executes a transportation task based on the received scheduling control information, the vehicle terminal of the second vehicle to be scheduled may collect the object feature data of the driving object who is to drive the second vehicle to be scheduled. Further, the collected object feature data may be subjected to feature matching with the preset feature data pre-stored in the vehicle terminal. Further, in the case where the comparison result of the feature matching passes the comparison, a start instruction may be sent to the second vehicle to be scheduled through the vehicle management system so that the second vehicle to be scheduled starts. If the comparison result fails to pass the comparison, the vehicle terminal will prompt the driving object that the comparison fails, and the vehicle management system will not send a start instruction, and the second vehicle to be scheduled will continue to be in a state of waiting to be scheduled.

[0056] In this embodiment, in order to improve the transportation safety rate, during the process of the second vehicle to be scheduled executing a transportation task based on the received scheduling control information, the second vehicle to be scheduled may be detected in real time to determine whether there are abnormal driving operations during the process of the second vehicle to be scheduled executing the transportation task.

[0057] Optionally, during the process of executing a transportation task based on the received scheduling control information, it further includes: receiving at least one vehicle image and driving speed information corresponding to at least one second vehicle to be scheduled; for at least one second vehicle to be scheduled, in the case where it is determined that the second vehicle to be scheduled has abnormal driving operations based on at least one vehicle image and / or driving speed information corresponding to the second vehicle to be scheduled, generating a driving warning information.

[0058] Among them, the vehicle image can be an image containing information such as the vehicle's appearance and the driving situation inside the vehicle. The vehicle image is collected based on a camera device set at a preset position within the shipbuilding area. The preset position can be any position around the roads within the shipbuilding area. The camera device can be a device capable of taking pictures of a vehicle in a driving state. Optionally, the camera device can be a surveillance camera set around the roads. The driving speed information refers to the speed data of the vehicle during driving, and this speed data is used to reflect the driving speed of the vehicle. The driving speed information is collected based on a radar device set on the second vehicle to be dispatched. The radar device can be any radar capable of collecting speed. Optionally, the radar device includes narrowband radar, lidar, millimeter-wave radar, microwave radar, etc. Abnormal driving operations can be driving behaviors that do not conform to normal driving norms and safety requirements, such as speeding, sudden braking, fatigue driving, distracted driving, etc. The abnormal warning information is information generated when the system detects abnormal driving operations of the vehicle, used to remind the driving object to pay attention to safety and correct bad driving operations, such as sound alarms, light prompts, text messages, etc.

[0059] In a specific implementation, during the process of the second vehicle to be dispatched executing a transportation task according to the received dispatching control information, the driving speed information can be collected in real time through a radar device installed on the second vehicle to be dispatched, and the vehicle image of the second vehicle to be dispatched can be collected in real time through a camera device set at a preset position within the shipbuilding area to obtain at least one vehicle image. Further, the at least one collected vehicle image and driving speed information can be transmitted to the vehicle control system. Further, for at least one second vehicle to be dispatched, when the vehicle control system receives at least one vehicle image and driving speed information corresponding to the second vehicle to be dispatched, image recognition technology can be used to perform image recognition on the received vehicle image to determine whether the driving object has abnormal driving operations. At the same time, the received driving speed information is compared with a preset speed threshold. If the driving speed information exceeds the threshold, it is determined as speeding, which belongs to abnormal driving operations. Further, when the vehicle control system determines that the second vehicle to be dispatched has abnormal driving operations, a driving warning information can be generated, and the driving warning information is sent to the corresponding second vehicle to be dispatched to display the generated driving warning information based on the second vehicle to be dispatched. At the same time, the driving warning information can be stored in the vehicle control system.

[0060] Among them, the display form of the driving warning information can include various types. For example, a warning light lights up on the dashboard of the second vehicle to be dispatched, and at the same time, a beeping sound is emitted; or, a text prompt message pops up on the display screen of the infotainment system of the second vehicle to be dispatched, etc.

[0061] In this embodiment, in order to comprehensively evaluate the vehicle transportation status of the second vehicle to be scheduled, timely discover potential problems, and optimize scheduling and resource allocation, after the transportation tasks of at least one second vehicle to be scheduled are completed, a transportation analysis report corresponding to the second vehicle to be scheduled can also be generated based on the received transportation-related information corresponding to the second vehicle to be scheduled.

[0062] Based on this, on the basis of the above technical solutions, it further includes: for at least one second vehicle to be scheduled, a transportation operation analysis report corresponding to the second vehicle to be scheduled is generated according to the second vehicle scheduling information corresponding to the second vehicle to be scheduled, at least one vehicle image received corresponding to the second vehicle to be scheduled, the driving speed information, and the vehicle transportation status information.

[0063] Among them, the vehicle transportation status information is collected by sensors arranged on the second vehicle to be scheduled. The vehicle transportation status information can be understood as information that can reflect various conditions of the vehicle during transportation. Optionally, the vehicle transportation status information includes at least one of cargo status information, vehicle operation status information, and environmental status information. Exemplarily, the cargo status information may include whether the position of the cargo has moved, which can be determined by data collected by acceleration sensors, inclination sensors, etc. arranged on the second vehicle to be scheduled; the force condition of the cargo, and the magnitude and direction of the forces such as extrusion and collision received by the cargo during transportation can be detected by pressure sensors. The vehicle operation status information includes the vibration condition of the vehicle. By using vibration sensors to obtain the vibration frequency and amplitude of each part of the vehicle during driving, it can be used to judge the road surface condition of the vehicle driving and whether the vehicle components are loose; the temperature information of the vehicle, and the temperature sensors are used to detect the temperature of key parts such as the engine and tires. The environmental status information includes the temperature inside the vehicle. By collecting data through humidity sensors, it can prevent the cargo from being affected by moisture, deterioration, etc. due to too high or too low temperature; the lighting condition during transportation. For some goods sensitive to light, the light sensors can monitor the light intensity and duration.

[0064] Among them, the transportation operation analysis report can be a report generated after summarizing, analyzing, and evaluating the transportation operation situation of the second vehicle to be scheduled. The transportation operation analysis report can be used to help relevant technical personnel understand the performance of the vehicle during transportation, discover problems, and take improvement measures.

[0065] In a specific implementation, for at least one second vehicle to be scheduled, during the process of the second vehicle to be scheduled performing a transportation task, the driving speed information and vehicle transportation status information corresponding to the second vehicle to be scheduled can be obtained through the terminal of the second vehicle to be scheduled, and the obtained information can be sent to the vehicle control system. Further, according to the second vehicle scheduling information corresponding to the second vehicle to be scheduled, at least one vehicle image received corresponding to the second vehicle to be scheduled, the driving speed information and the vehicle transportation status information, the vehicle control system can generate a transportation operation analysis report corresponding to the second vehicle to be scheduled.

[0066] The technical solution of the embodiment of the present invention is to obtain the transportation scheduling information corresponding to the shipbuilding area in the future time period; wherein, the transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; further, taking the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the initial simulation parameters, simulating the transportation scheduling information, and adjusting the transportation scheduling information according to the simulation result, which helps to reasonably arrange vehicles, optimize the transportation route, improve the utilization efficiency of transportation resources, enable the limited transportation resources to be more fully utilized, and reduce the transportation cost; further, in response to the event that the simulation result does not meet the preset conditions, adjusting the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes the second vehicle scheduling information corresponding to at least one second vehicle to be scheduled, making the transportation plan more reliable, reducing problems such as transportation delays and cargo damage caused by unreasonable plans, and improving the stability and safety of transportation in the shipbuilding area; further, according to the adjusted transportation scheduling information, sending scheduling control information to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled performs the transportation task based on the received scheduling control information, solves the problems of low vehicle dispatching efficiency and unbalanced vehicle task compliance in the related art, realizes the effect of pre-determining the transportation scheduling information that conforms to the actual situation by combining simulation and optimization adjustment methods, and dispatching the vehicles to be scheduled in the shipbuilding area according to the transportation scheduling information, realizes the intelligentization of vehicle scheduling management, improves the scientificity and accuracy of scheduling management, provides favorable support for the intelligent management of the shipbuilding area, and moreover, improves the rationality and scientificity of vehicle dispatching, improves the efficiency of vehicle dispatching, and reduces the dispatching time and labor cost.

[0067] Figure 2It is a flowchart of a vehicle informatization control method provided by an embodiment of the present invention. On the basis of the foregoing embodiment, the transportation scheduling information corresponding to the shipbuilding area within the future time period can be determined in advance. Furthermore, the transportation scheduling information can be simulated and adjusted to obtain the adjusted transportation scheduling information finally applied. The specific implementation manner can refer to the technical solution of this embodiment. Among them, the same or similar technical terms as those in the above embodiment will not be elaborated herein.

[0068] As Figure 2 shown, the method includes:

[0069] S210. Obtain the historical transportation work order data corresponding to the shipbuilding area within the historical time period.

[0070] Among them, the historical time period can be a certain time period before the current moment, and this time period can be one day, one week, one month, etc. The historical transportation work order data can be data records related to transportation tasks generated in the past during shipbuilding. These data records contain detailed information about transportation tasks and are used to trace and analyze past transportation work conditions. The historical transportation work order data is used to indicate the task detail information associated with the transportation task. The historical transportation work order data can include the name, specification, quantity of the transported goods, the starting point and destination of transportation, the relevant information of the transportation vehicle, the issuance time and the required completion time of the transportation task.

[0071] In specific implementation, the required historical time period can be determined. Then, the transportation work order data corresponding to the shipbuilding area within the historical time period can be retrieved from the work order database in the vehicle management system, and the retrieved data is used as the historical transportation work order data.

[0072] S220. Process the historical transportation work order data according to the pre-trained transportation demand prediction model to obtain the future transportation work order data corresponding to the shipbuilding area within the future time period.

[0073] Among them, the transportation demand prediction model can be a neural network model that can predict future transportation demand based on the input historical transportation work order data. The transportation demand prediction model can be obtained by training a deep learning model with the sample transportation work order data in the historical duration and the actual transportation work order data in the prediction duration of the shipbuilding area. The demand prediction model can be a deep learning model with any model structure capable of performing transportation demand prediction. Optionally, the transportation demand prediction model can be a deep learning model including a recurrent neural network, a long short-term memory network, or a gated recurrent unit, etc. It should be noted that the transportation demand prediction model can be a deep learning model constructed based on the long short-term memory network. The advantages of such a setting are as follows: there is a long-term dependence relationship in the time series of transportation demand data, and the long short-term memory network can effectively capture these long-term dependence relationships, so as to more accurately predict future transportation demand; and, transportation demand is affected by various factors, and the interaction between these factors makes the transportation demand data show complex non-linear characteristics. The long short-term memory network has a strong non-linear fitting ability and can automatically learn and extract non-linear patterns in the data through its internal gating mechanism, so as to better fit and predict transportation demand; and, the time span of transportation demand data may be different, some are counted by day, some are counted by month or by year. The long short-term memory network can flexibly process time series data of different lengths. No matter how long the input data is, it can effectively manage memory units through the gating mechanism, so as to accurately predict transportation demand.

[0074] Among them, the future transportation work order data can be the data related to the transportation work orders expected to be generated in the future duration of the shipbuilding area after processing the historical transportation work order data through the transportation demand prediction model, including information such as the goods to be transported and the transportation time, etc., which can provide a basis for the allocation and planning of transportation resources.

[0075] In specific implementation, after obtaining the historical transportation work order data, the historical transportation work order data can be input into the pre-trained transportation demand prediction model. Furthermore, based on the transportation demand prediction model, the historical transportation work order data can be processed to predict the transportation demand situation in the future duration of the shipbuilding area, and the future transportation work order data can be output.

[0076] S230. Obtain the road condition information corresponding to the shipbuilding area at the current moment and the third vehicle attribute information corresponding to at least one third vehicle to be scheduled at the current moment, and determine the transportation scheduling information corresponding to the shipbuilding area in the future duration based on the road condition information, at least one third vehicle attribute information, and the future transportation work order data.

[0077] Among them, the third vehicle to be scheduled can be all schedulable vehicles within the shipbuilding area. The third vehicle attribute information can be understood as various attribute information of the third vehicle to be scheduled associated with the execution of the transportation task at the current moment. Optionally, the third vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information.

[0078] In specific implementation, the road condition information corresponding to the shipbuilding area at the current moment and the third vehicle attribute information of at least one third vehicle to be scheduled at the current moment can be obtained. Further, an optimization algorithm or a scheduling model can be used to comprehensively consider the road condition information, the third vehicle attribute information, and the future transportation work order data to match the transportation task with the vehicle. For example, a vehicle with appropriate load capacity and volume can be selected according to the weight and volume of the goods, the optimal driving route can be planned according to the road condition information, and the departure time of the vehicle can be determined according to the transportation time requirement, and finally the transportation scheduling information corresponding to the shipbuilding area within the future time period can be generated.

[0079] S240. Obtain the transportation scheduling information corresponding to the shipbuilding area within the future time period; among them, the transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled.

[0080] S250. Use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the initial simulation parameters to perform a simulation of the transportation scheduling information.

[0081] S260. In response to the event that the simulation result does not meet the preset conditions, adjust the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; among them, the adjusted transportation scheduling information includes the second vehicle scheduling information corresponding to at least one second vehicle to be scheduled.

[0082] S270. According to the adjusted transportation scheduling information, send scheduling control information to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled executes the transportation task based on the received scheduling control information.

[0083] The technical solution of the embodiment of the present invention obtains the historical transportation work order data corresponding to the shipbuilding area in the historical time period; further, processes the historical transportation work order data according to the pre-trained transportation demand prediction model to obtain the future transportation work order data corresponding to the shipbuilding area in the future time period; further, obtains the road condition information corresponding to the shipbuilding area at the current moment and the third vehicle attribute information corresponding to at least one third vehicle to be scheduled at the current moment; further, based on the road condition information, at least one third vehicle attribute information and the future transportation work order data, determines the transportation scheduling information corresponding to the shipbuilding area in the future time period, realizes the effect of predicting the transportation work order data in the future time period based on the neural network model, and generating the transportation scheduling information based on the predicted transportation work order data, accurately predicts the transportation demand, improves the prediction accuracy of the transportation work order data, enhances the reliability of the transportation scheduling information, and realizes the effect of reasonable allocation of transportation resources.

[0084] Figure 3 FIG. 4 is a schematic structural diagram of a vehicle information management and control device provided by an embodiment of the present invention. The device is configured in a vehicle management and control system, as Figure 3 shown. The device includes: a scheduling information acquisition module 310, a scheduling information simulation module 320, a scheduling information adjustment module 330, and a scheduling control information sending module 340.

[0085] Among them, the scheduling information acquisition module 310 is used to acquire the transportation scheduling information corresponding to the shipbuilding area in the future time period; among them, the transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; the scheduling information simulation module 320 is used to use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the starting simulation parameters to simulate the transportation scheduling information; among them, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information; the scheduling information adjustment module 330 is used to respond to an event that the simulation result does not meet the preset conditions, and adjust the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; among them, the adjusted transportation scheduling information includes the second vehicle scheduling information corresponding to at least one second vehicle to be scheduled; the scheduling control information sending module 340 is used to send scheduling control information to the corresponding second vehicle to be scheduled according to the adjusted transportation scheduling information, so that the second vehicle to be scheduled executes the transportation task based on the received scheduling control information.

[0086] The technical solution of the embodiment of the present invention is to obtain the transportation scheduling information corresponding to the shipbuilding area in the future time period; wherein, the transportation scheduling information includes the first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; further, taking the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one first vehicle to be scheduled as the initial simulation parameters, simulating the transportation scheduling information, and adjusting the transportation scheduling information according to the simulation results, which helps to reasonably arrange vehicles, optimize transportation routes, improve the utilization efficiency of transportation resources, enable limited transportation resources to be more fully utilized, and reduce transportation costs; further, in response to the event that the simulation results do not meet the preset conditions, adjusting the transportation scheduling information according to the time limit constraint conditions and cost constraint conditions to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes the second vehicle scheduling information corresponding to at least one second vehicle to be scheduled, making the transportation plan more reliable, reducing problems such as transportation delays and cargo damage caused by unreasonable plans, and improving the stability and safety of transportation in the shipbuilding area; further, according to the adjusted transportation scheduling information, sending scheduling control information to the corresponding second vehicle to be scheduled, so that the second vehicle to be scheduled executes the transportation task based on the received scheduling control information, solving the problems of low vehicle dispatching efficiency and unbalanced vehicle task compliance in the related art, realizing the effect of combining simulation and optimization adjustment methods to pre-determine the transportation scheduling information that conforms to the actual situation, and dispatching the vehicles to be scheduled in the shipbuilding area according to the transportation scheduling information, realizing the intelligentization of vehicle scheduling management, improving the scientificity and accuracy of scheduling management, providing favorable support for the intelligent management of the shipbuilding area, and further, improving the rationality and scientificity of vehicle dispatching, improving the efficiency of vehicle dispatching, reducing dispatching time and labor costs.

[0087] Optionally, the device further includes: a historical data acquisition module, a future data determination module, an information acquisition module, and a transportation scheduling information determination module. Among them, the historical data acquisition module is used to acquire the historical transportation work order data corresponding to the shipbuilding area in the historical time period; wherein, the historical transportation work order data is used to indicate the task detail information associated with the transportation task; the future data determination module is used to process the historical transportation work order data according to the pre-trained transportation demand prediction model to obtain the future transportation work order data corresponding to the shipbuilding area in the future time period; the information acquisition module is used to acquire the road condition information corresponding to the shipbuilding area at the current moment and the third vehicle attribute information of at least one third vehicle to be scheduled at the current moment; the transportation scheduling information determination module is used to determine the transportation scheduling information corresponding to the shipbuilding area in the future time period based on the road condition information, at least one of the third vehicle attribute information, and the future transportation work order data.

[0088] Optionally, the scheduling information simulation module 320 includes: an information acquisition unit, a simulation model construction unit, a simulation result determination unit, and a simulation result judgment unit. Among them, the information acquisition unit is configured to acquire the road condition information corresponding to the shipbuilding area at the current moment and the vehicle attribute information of at least one first vehicle to be scheduled at the current moment; the simulation model construction unit is configured to use the road condition information and the vehicle attribute information of at least one first vehicle to be scheduled at the current moment as the initial simulation parameters to construct a regional simulation model corresponding to the shipbuilding area; the simulation result determination unit is configured to input the transportation scheduling information into the regional simulation model to obtain a simulation result; wherein, the simulation result includes the task execution duration and transportation safety information; the simulation result judgment unit is configured to determine that the simulation result meets the preset conditions when the task execution duration is less than a preset duration threshold and the transportation safety information reaches a preset safety threshold; and determine that the simulation result does not meet the preset conditions when the task execution duration is not less than the preset time threshold or the transportation safety information does not reach the preset safety threshold.

[0089] Optionally, the scheduling information adjustment module 330 includes: a target constraint condition determination unit, a scheduling information determination unit, and a scheduling information adjustment unit. Among them, the target constraint condition determination unit is configured to determine the target constraint conditions according to the time limit constraint conditions, cost constraint conditions, and corresponding condition weights; the scheduling information determination unit is configured to acquire the third vehicle attribute information of at least one third vehicle to be scheduled in the shipbuilding area at the current moment, and process the road condition information, at least one third vehicle attribute information, and the transportation scheduling information based on a preset optimization algorithm, an efficiency optimization objective function, and the target constraint conditions to obtain the scheduling information to be simulated; the scheduling information adjustment unit is configured to perform simulation on the scheduling information to be simulated, and use the scheduling information to be simulated as the adjusted transportation scheduling information when the simulation result meets the preset conditions.

[0090] Optionally, the device further includes: a feature data acquisition module and a vehicle start module. Among them, the feature data acquisition module is configured to collect object feature data of the driving object corresponding to at least one second vehicle to be scheduled through the vehicle terminal of the second vehicle to be scheduled before executing the transportation task based on the received scheduling control information; the vehicle start module is configured to compare the collected object feature data with the preset feature data pre-stored in the vehicle terminal, and start the second vehicle to be scheduled through the vehicle management and control system when the comparison result is a pass; wherein, the preset feature data pre-stored in the vehicle terminal is received from the vehicle management and control system.

[0091] Optionally, the device further includes: an image receiving module and a warning information generating module. Among them, the image receiving module is configured to receive at least one vehicle image and driving speed information corresponding to at least one of the second vehicles to be scheduled during the process of performing the transportation task based on the received scheduling control information; wherein, the vehicle image is collected by a camera device disposed at a preset position within the shipbuilding area; the driving speed information is collected by a radar device disposed on the second vehicle to be scheduled; the warning information generating module is configured to generate a driving warning information for at least one of the second vehicles to be scheduled when it is determined that the second vehicle to be scheduled has an abnormal driving operation based on at least one of the vehicle images and / or the driving speed information corresponding to the second vehicle to be scheduled.

[0092] Optionally, the device further includes: an analysis report generating module. Among them, the analysis report generating module is configured to generate a transportation operation analysis report corresponding to at least one second vehicle to be scheduled based on the second vehicle scheduling information corresponding to the second vehicle to be scheduled, at least one vehicle image received corresponding to the second vehicle to be scheduled, the driving speed information, and the vehicle transportation status information; wherein, the vehicle transportation status information is collected by a sensor disposed on the second vehicle to be scheduled.

[0093] The vehicle information management and control device provided by the embodiments of the present invention can execute the vehicle information management and control method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0094] Figure 4 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described herein and / or claimed.

[0095] As Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as read-only memory (ROM) 12, random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12, and RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0096] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0097] The processor 11 can be various general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the vehicle informatization management and control method.

[0098] In some embodiments, the vehicle informatization management and control method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the vehicle informatization management and control method described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the vehicle informatization management and control method in any other appropriate manner (e.g., by means of firmware).

[0099] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0100] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0101] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0102] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0103] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), target blockchain network, and the Internet.

[0104] The computing system can include a client and a server. The client and the server are generally far from each other and typically interact through a communication network. The relationship between the client and the server is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0105] In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present invention includes a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program including program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication unit 19, or installed from the storage unit 18, or installed from the ROM 12. When the computer program is executed by the processor 11, the above-mentioned functions defined in the methods of the embodiments of the present invention are performed.

[0106] It should be understood that the various forms of processes shown above can be used, with steps reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0107] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub - combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A vehicle information management and control method, characterized in that, Applied to a vehicle control system, including: Obtain the transportation scheduling information corresponding to the shipbuilding area within a future time period; wherein, the transportation scheduling information includes first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; Use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one of the first vehicles to be scheduled as initial simulation parameters to perform simulation on the transportation scheduling information; wherein, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information; In response to an event that the simulation result does not meet the preset conditions, adjust the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes second vehicle scheduling information corresponding to at least one second vehicle to be scheduled; According to the adjusted transportation scheduling information, send scheduling control information to the corresponding second vehicles to be scheduled, so that the second vehicles to be scheduled perform transportation tasks based on the received scheduling control information.

2. The vehicle informatization control method according to claim 1, wherein It further includes: Obtain the historical transportation work order data corresponding to the shipbuilding area within a historical time period; wherein, the historical transportation work order data is used to indicate the task detail information associated with the transportation task; Process the historical transportation work order data according to a pre-trained transportation demand prediction model to obtain the future transportation work order data corresponding to the shipbuilding area within a future time period; Obtain the road condition information corresponding to the shipbuilding area at the current moment and the third vehicle attribute information of at least one third vehicle to be scheduled at the current moment; Based on the road condition information, at least one of the third vehicle attribute information, and the future transportation work order data, determine the transportation scheduling information corresponding to the shipbuilding area within the future time period.

3. The vehicle informatization control method according to claim 1, characterized in that The step of using the road condition information of the shipbuilding area at the current moment and the vehicle attribute information of at least one of the first vehicles to be scheduled as initial simulation parameters to perform simulation on the transportation scheduling information includes: Obtain the road condition information corresponding to the shipbuilding area at the current moment and the vehicle attribute information of at least one first vehicle to be scheduled at the current moment; Use the road condition information and the vehicle attribute information of at least one first vehicle to be scheduled at the current moment as initial simulation parameters to construct a regional simulation model corresponding to the shipbuilding area; Input the transportation scheduling information into the regional simulation model to obtain a simulation result; wherein, the simulation result includes the task execution duration and transportation safety information; When the task execution duration is less than a preset duration threshold and the transportation safety information reaches a preset safety threshold, determine that the simulation result meets the preset conditions; When the task execution duration is not less than the preset time threshold or the transportation safety information does not reach the preset safety threshold, determine that the simulation result does not meet the preset conditions.

4. The vehicle informatization control method according to claim 1, wherein Adjusting the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information, including: Determining a target constraint condition according to the time limit constraint condition, the cost constraint condition, and the corresponding condition weights; Obtaining third vehicle attribute information of at least one third vehicle to be scheduled in the current moment within the shipbuilding area, and processing the road condition information, at least one third vehicle attribute information, and the transportation scheduling information based on a preset optimization algorithm, an efficiency optimization objective function, and the target constraint condition to obtain information of the to-be-simulated scheduling; Performing a simulation on the information of the to-be-simulated scheduling, and when the simulation result meets a preset condition, using the information of the to-be-simulated scheduling as the adjusted transportation scheduling information.

5. The vehicle information management and control method according to claim 1, wherein Before executing the transportation task based on the received scheduling control information, it further includes: For at least one of the second vehicles to be scheduled, collecting object feature data of a driving object corresponding to the second vehicle to be scheduled through a vehicle terminal of the second vehicle to be scheduled; Comparing the collected object feature data with preset feature data pre-stored in the vehicle terminal, and when the comparison result is a pass, starting the second vehicle to be scheduled through the vehicle control system; wherein the preset feature data pre-stored in the vehicle terminal is received from the vehicle control system.

6. The vehicle information management and control method according to claim 1, characterized in that During the process of executing the transportation task based on the received scheduling control information, it further includes: Receiving at least one vehicle image and driving speed information corresponding to at least one of the second vehicles to be scheduled; wherein the vehicle image is collected by a camera device arranged at a preset position within the shipbuilding area; the driving speed information is collected by a radar device arranged on the second vehicle to be scheduled; For at least one of the second vehicles to be scheduled, generating a driving warning information when it is determined that the second vehicle to be scheduled has an abnormal driving operation based on at least one vehicle image and / or the driving speed information corresponding to the second vehicle to be scheduled.

7. The vehicle information management and control method according to claim 1, characterized in that It further includes: For at least one second vehicle to be scheduled, generating a transportation operation analysis report corresponding to the second vehicle to be scheduled based on the second vehicle scheduling information corresponding to the second vehicle to be scheduled, at least one vehicle image received corresponding to the second vehicle to be scheduled, the driving speed information, and the vehicle transportation state information; Wherein the vehicle transportation state information is collected by a sensor arranged on the second vehicle to be scheduled.

8. A vehicle information management and control device, characterized in that Configured in the vehicle control system, including: A scheduling information acquisition module, configured to acquire transportation scheduling information corresponding to the shipbuilding area within a future time period; wherein the transportation scheduling information includes first vehicle scheduling information corresponding to at least one first vehicle to be scheduled; A scheduling information simulation module, configured to use the road condition information of the shipbuilding area at the current moment and the first vehicle attribute information of at least one of the first vehicles to be scheduled as starting simulation parameters to simulate the transportation scheduling information; wherein, the first vehicle attribute information includes at least one of vehicle load information, vehicle driving information, vehicle component usage information, and vehicle position information; A scheduling information adjustment module, configured to, in response to an event that the simulation result does not meet the preset conditions, adjust the transportation scheduling information according to the time limit constraint condition and the cost constraint condition to obtain the adjusted transportation scheduling information; wherein, the adjusted transportation scheduling information includes second vehicle scheduling information corresponding to at least one second vehicle to be scheduled; A scheduling control information sending module, configured to send scheduling control information to the corresponding second vehicle to be scheduled according to the adjusted transportation scheduling information, so that the second vehicle to be scheduled executes a transportation task based on the received scheduling control information.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the vehicle information management and control method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the vehicle information management and control method according to any one of claims 1-7 when executed by a processor.

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