Steel coil transportation equipment management method and system, terminal and storage medium

Abstract

The invention relates to the technical field of transportation scheduling, and particularly provides a steel coil transportation equipment management method and system, a terminal and a storage medium, and the method comprises the steps: obtaining the state data of key equipment disposed on a transportation path; allocating a transportation task to the capacitor transportation vehicle based on a production plan and an inventory demand; allocating an execution path for the capacitor transport vehicle based on the transport task and the state data, and sending the execution path to the capacitor transport vehicle; and obtaining operation state data of the capacitor transport vehicle, and generating a transport task execution progress based on the operation state data. The steel coil transportation efficiency is improved, and refined management and control of the transportation process are achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of transportation scheduling, and in particular relates to a steel coil transportation equipment management method, system, terminal and storage medium. Background Art

[0002] In the steel industry, the transportation of steel coils is a crucial part of the production process. Steel coil transportation usually uses capacitor transport vehicles to transport raw materials to cold rolling mills or hot rolling mills. The scheduling method of related capacitor transport vehicles is usually to allocate a certain number of capacitor transport vehicles to cold rolling mills and a certain number of transport vehicles to hot rolling mills, and the allocated transport vehicles perform the corresponding transportation tasks.

[0003] This type of transportation control method is relatively extensive and cannot adapt to production plans and inventory needs. It also does not take into account the status of key equipment, which can easily cause transportation interruptions and delays. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a steel coil transportation equipment management method, system, terminal and storage medium to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a method for managing steel coil transportation equipment, comprising: Obtain status data of key equipment deployed on the transportation route; Allocate transportation tasks for the capacitor transport vehicle based on production plans and inventory requirements; Allocate an execution path for the capacitor transport vehicle based on the transport task and the status data, and send the execution path to the capacitor transport vehicle; The running status data of the capacitor transport vehicle is obtained, and the transport task execution progress is generated based on the running status data.

[0006] In an optional implementation, obtaining status data of key equipment deployed on the transportation path includes: Based on the deployment location of key equipment, a binding relationship between key equipment and transportation routes is established, wherein the key equipment includes a marking machine, a baling machine, a weighing system, and a charging pile; Establish a communication connection with the key equipment and obtain the status data of the key equipment, wherein the status data includes power-on and power-off status and working electrical parameters, wherein the working electrical parameters include working current and working voltage.

[0007] In an optional embodiment, allocating transportation tasks to the capacitor transport vehicle based on the production plan and inventory requirements includes: Generate a transportation task according to the production plan and inventory requirements, wherein the transportation task includes the type of raw materials to be transported and the transportation direction, and the transportation direction includes a starting point and an end point; Acquire the positioning data of the capacitor transport vehicle, and select the target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; The transport task is assigned to the target capacitor transport vehicle.

[0008] In an optional embodiment, allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle, comprises: Obtain status data of key equipment bound to all transportation routes; Compare the status data of key equipment with the preset standard thresholds, and mark the status data that exceeds the standard threshold range as abnormal data; Determine the faulty equipment based on the abnormal data, and if the faulty equipment exceeds a set safety number threshold, mark the corresponding transportation path as an unavailable path; The remaining transport routes that are not marked as unavailable routes are saved in the candidate route set; Based on the starting point and the end point of the transportation task, an execution path is selected from the candidate path set using a shortest path algorithm.

[0009] In an optional implementation, obtaining the running status data of the capacitor transport vehicle and generating the transport task execution schedule based on the running status data includes: Obtain the speed, acceleration, load data and positioning data of the capacitor transport vehicle; Based on the preset correspondence between the load level, the speed level and the acceleration level, the corresponding standard speed level and standard acceleration level are obtained according to the load level to which the load data belongs; Determine whether the speed belongs to the standard speed level, whether the acceleration belongs to the standard acceleration level, and if the speed does not belong to the standard speed level or the acceleration does not belong to the standard acceleration level, start timing; If the timing reaches the set time limit, the execution progress is set as abnormal; If the timing time does not reach the set time limit, the remaining path length is calculated based on the positioning data of the capacitor transport vehicle and the end point of the transport task, and the remaining time is calculated based on the average speed of the capacitor transport vehicle and the remaining path length.

[0010] In a second aspect, the present invention provides a steel coil transportation equipment management system, comprising: A data acquisition module is used to obtain status data of key equipment deployed on the transportation route; A task allocation module, used to allocate transportation tasks to the capacitor transport vehicle based on production plan and inventory requirements; A path allocation module, used for allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle; The progress generation module is used to obtain the operating status data of the capacitor transport vehicle and generate the transport task execution progress based on the operating status data.

[0011] In an optional embodiment, the data acquisition module includes: An equipment binding unit, used to establish a binding relationship between key equipment and a transportation path based on the deployment location of key equipment, wherein the key equipment includes a marking machine, a baling machine, a weighing system, and a charging pile; The data acquisition unit is used to establish a communication connection with the key equipment and acquire the status data of the key equipment, wherein the status data includes power-on and power-off status and working electrical parameters, wherein the working electrical parameters include working current and working voltage.

[0012] In an optional implementation, the task allocation module includes: A task generation unit, used to generate a transportation task according to the production plan and inventory requirements, wherein the operation task includes the type of transported raw materials and the transportation direction, and the transportation direction includes a starting point and an end point; A vehicle screening unit, used for acquiring positioning data of the capacitor transport vehicle, and screening out a target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; A task allocation unit is used to allocate the transportation task to the target capacitor transport vehicle.

[0013] In a third aspect, a terminal is provided, including: processor, memory, wherein: The memory is used to store computer programs. The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0014] According to a fourth aspect, a computer storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer executes the methods described in the above aspects.

[0015] The beneficial effect of the present invention is that the steel coil transportation equipment management method, system, terminal and storage medium provided by the present invention realize the rational allocation of transportation tasks by combining the key equipment status and production plan and inventory demand production transportation tasks and the execution route of the calculation tasks, and realize the monitoring of the task progress by monitoring the status of the capacitor transport vehicle. The present invention improves the efficiency of steel coil transportation and realizes the refined control of the transportation process.

[0016] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0019] Figure 2 It is a schematic diagram of the principle of generating a transport task according to a method of an embodiment of the present invention.

[0020] Figure 3 is a schematic block diagram of a system according to an embodiment of the present invention.

[0021] Figure 4 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0024] The steel coil transportation equipment management method provided in the embodiment of the present invention is executed by a computer device, and accordingly, the steel coil transportation equipment management system runs in the computer device.

[0025] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject may be a steel coil transportation equipment management system. According to different requirements, the order of the steps in the flow chart may be changed, and some may be omitted.

[0026] like Figure 1 As shown, the method includes: Step 110, obtaining status data of key equipment deployed on the transportation path; Step 120, assigning a transport task to the capacitor transport vehicle based on the production plan and inventory requirements; Step 130, allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle; Step 140, obtaining the running status data of the capacitor transport vehicle, and generating the transport task execution progress based on the running status data.

[0027] To facilitate understanding of the present invention, the steel coil transportation equipment management method provided by the present invention is further described below based on the principle of the steel coil transportation equipment management method of the present invention and in combination with the process of managing the steel coil transportation equipment in the embodiment.

[0028] Specifically, the steel coil transportation equipment management method includes: S1. Obtain status data of key equipment deployed on the transportation route.

[0029] Based on the deployment location of key equipment, a binding relationship between key equipment and transportation routes is established. The key equipment includes a spraying machine, a baler, a weighing system, and a charging pile. A communication connection is established with the key equipment, and status data of the key equipment is obtained. The status data includes power-on and power-off status and working electrical parameters. The working electrical parameters include working current and working voltage.

[0030] Specifically, at the key nodes of the transportation route, not only the spraying machine, baler, weighing system, and charging pile, but also additional sensors are needed to fully capture the operating status of these devices. Through the Internet of Things (IoT) technology, the core electrical parameters such as the power-on and power-off status, working current, and working voltage of the equipment are obtained in real time, and the mechanical status data such as temperature, vibration, and oil pressure are expanded to ensure a comprehensive assessment of the health of the equipment. At the same time, an intelligent early warning system is established to provide early warning of data that is about to exceed the preset safety threshold so as to facilitate timely maintenance.

[0031] S2. Allocating transportation tasks to the capacitor transport vehicle based on production plan and inventory requirements.

[0032] Please refer to Figure 2 , generating a transportation task according to the production plan and inventory requirements, the operation task including the type of transported raw materials and the transportation direction, the transportation direction including the starting point and the end point; obtaining the positioning data of the capacitor transport vehicle, and selecting the target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; and assigning the transportation task to the target capacitor transport vehicle.

[0033] Specifically, when generating transportation tasks, in addition to considering production plans and inventory requirements, AI algorithms need to be introduced to analyze historical transportation data, weather forecasts, traffic conditions and other factors to optimize task allocation. Using GPS and GIS technology, the real-time location of capacitor transport vehicles is dynamically updated, and combined with the path congestion situation, the capacitor transport vehicle closest to the starting point and most suitable for the task is accurately selected. In addition, the load capacity, energy efficiency and other factors of the transport vehicle are considered to achieve intelligent matching of transportation tasks.

[0034] S3. Allocate an execution path for the capacitor transport vehicle based on the transport task and the status data, and send the execution path to the capacitor transport vehicle.

[0035] Obtain the status data of key equipment bound to all transportation paths; compare the status data of key equipment with the preset standard threshold, and mark the status data that exceeds the standard threshold as abnormal data; determine the faulty equipment based on the abnormal data, and if the faulty equipment exceeds the set safety number threshold, mark the corresponding transportation path as an unavailable path; save the remaining transportation paths that are not marked as unavailable paths to the candidate path set; based on the starting point and end point of the transportation task, use the shortest path algorithm to select the execution path from the candidate path set.

[0036] Specifically, when allocating execution paths, enhance real-time monitoring and dynamic evaluation of key equipment status. Once a key equipment failure is discovered, immediately evaluate its impact on the overall transportation network and quickly adjust the path planning strategy. Introduce machine learning models to predict the development trend of equipment failures and avoid potential risk paths in advance.

[0037] Refine the key equipment status monitoring and path planning process: First, comprehensively collect the status data of key equipment bound on all transportation routes. This includes but is not limited to the real-time status information of spraying machines, balers, weighing systems, charging piles, and other equipment that may affect the transportation route (such as traffic lights, road condition monitoring stations, etc.). Through the Internet of Things (IoT) technology and the built-in sensors of the equipment, the operating parameters of the equipment, such as current, voltage, temperature, vibration, pressure, etc., are continuously monitored to ensure the accuracy and timeliness of the data.

[0038] Next, the collected status data is carefully compared with the preset standard thresholds. These standard thresholds are formulated based on the normal operating range of the equipment, historical data analysis, and safety regulations. For each parameter, one or more thresholds are set to distinguish between normal, warning, and abnormal states. Through the automated comparison process, status data that exceeds the threshold range is quickly identified and marked as abnormal data.

[0039] Then, based on the abnormal data, we conduct in-depth analysis and identify the faulty equipment. By integrating the abnormal information of multiple parameters and combining the equipment's fault pattern recognition and fault diagnosis technology, we can accurately determine which equipment has failed or has potential failures. At the same time, we evaluate the impact of the failure on the transportation route, including the repair time of the faulty equipment and the feasibility of alternative solutions.

[0040] If the number of faulty equipment exceeds the set safety threshold, it usually means that the failure of key equipment on the transportation route has posed a major threat to the execution of the transportation task. At this time, the system will automatically mark the transportation route as an unavailable route and exclude it from the candidate route set to avoid selecting a route that may cause delays or safety accidents.

[0041] For the remaining transport routes that are not marked as unavailable, the system saves them into the candidate route set. Each route in this set is initially screened to ensure that it is available in the current state.

[0042] Finally, based on the starting point and end point of the transport task, an advanced shortest path algorithm is used to select the optimal execution path from the candidate path set. The shortest path algorithm here can be the Dijkstra algorithm. The algorithm will comprehensively consider the actual conditions of the candidate paths, such as whether there is congestion, whether a detour is needed, etc., to select a safe and efficient execution path. At the same time, the system can also provide alternative paths as emergency plans to deal with possible emergencies.

[0043] S4. Obtaining the operating status data of the capacitor transport vehicle, and generating a transport task execution schedule based on the operating status data.

[0044] Obtain the speed, acceleration, load data and positioning data of the capacitor transport vehicle; based on the correspondence between the preset load level and the speed level and acceleration level, obtain the corresponding standard speed level and standard acceleration level according to the load level to which the load data belongs; determine whether the speed belongs to the standard speed level and whether the acceleration belongs to the standard acceleration level, and start timing if the speed does not belong to the standard speed level or the acceleration does not belong to the standard acceleration level; if the timing time reaches the set time limit, set the execution progress to abnormal; if the timing time does not reach the set time limit, calculate the remaining path length based on the positioning data of the capacitor transport vehicle and the end point of the transport task, and calculate the remaining time based on the average speed of the capacitor transport vehicle and the remaining path length.

[0045] Specifically, by integrating on-board sensors and remote monitoring systems, multi-dimensional data such as speed, acceleration, load, and positioning of capacitor transport vehicles are collected in real time. Based on these data, a refined transportation task execution progress evaluation model is constructed. In addition to the basic speed, acceleration and standard level matching judgment, the evaluation of the driving behavior of the transport vehicle is increased, such as the recognition of abnormal behaviors such as sudden braking and sudden acceleration, and the speed prediction model is dynamically adjusted according to changes in road conditions to improve the accuracy of the remaining time estimation. At the same time, an emergency response mechanism is set up. Once an abnormal situation is detected or it is expected that the task cannot be completed on time, the alternative plan will be immediately activated or relevant personnel will be notified to intervene.

[0046] Deepen the operation status monitoring and progress management of capacitor transport vehicles: Based on the real-time acquisition of the speed, acceleration, load and positioning data of the capacitor transport vehicle, the processing and analysis process of these data is further refined to ensure the smooth execution and efficient management of the transportation task.

[0047] First, the multi-dimensional operation data of the capacitor transport vehicle is accurately collected. The vehicle-mounted sensors and GPS positioning technology are used to record the speed and acceleration changes of the transport vehicle, as well as the current load status (such as the load percentage) in real time. At the same time, the location information of the transport vehicle is continuously updated through positioning data, providing an accurate basis for subsequent path calculation and progress evaluation.

[0048] Next, the system matches the preset load level with the speed and acceleration levels. This correspondence is based on the performance parameters, safety regulations and transportation efficiency requirements of the transporter. The system automatically finds and applies the corresponding standard speed level and standard acceleration level according to the load level to which the current load data belongs. These standards are designed to ensure that the transporter can travel at a safe and efficient speed under different load conditions.

[0049] Then, the real-time speed and acceleration are dynamically evaluated. The current speed is compared with the standard speed level, and the current acceleration is compared with the standard acceleration level. If the speed or acceleration exceeds its corresponding standard range, the abnormal detection mechanism is immediately triggered and the timer starts. This step is designed to promptly detect and respond to unsafe behaviors such as speeding, sudden acceleration or deceleration that may exist in the transport vehicle.

[0050] During the timing process, the operating status of the transport vehicle is continuously monitored. If the timing reaches the set time limit (such as continuous speeding or abnormal driving for more than a certain period of time), the system automatically marks the execution progress as abnormal and issues an alarm to notify relevant personnel to intervene. This helps to correct improper driving behavior in a timely manner and prevent potential safety accidents.

[0051] If the timing does not reach the set time limit and the transport vehicle resumes normal driving, the system will continue to perform subsequent operations. Based on the latest positioning data and the destination of the transport task, the map service is used to calculate the remaining path length. At the same time, the remaining time is estimated based on the recent average speed of the transport vehicle (taking into account possible changes in traffic conditions). This step provides an important reference for the progress management of the transport task, which helps to adjust the plan in a timely manner and optimize resource allocation.

[0052] Finally, the real-time progress information is fed back to the transportation management system. The system displays the current location, speed, load status, and estimated arrival time of the transport vehicle to relevant personnel through the user interface or data interface. This helps to improve the transparency and efficiency of transportation management and ensure that the transportation task can proceed smoothly as planned.

[0053] In some embodiments, the steel coil transport equipment management system may include a plurality of functional modules composed of computer program segments. The computer programs of the various program segments in the steel coil transport equipment management system may be stored in a memory of a computer device and executed by at least one processor to execute (see Figure 1 Description) Functions of steel coil transportation equipment management.

[0054] In this embodiment, the steel coil transportation equipment management system can be divided into multiple functional modules according to the functions it performs, such as Figure 3 As shown. The functional modules of the system 300 may include: a data acquisition module 310, a task allocation module 320, a path allocation module 330, and a schedule generation module 340. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0055] A data acquisition module is used to obtain status data of key equipment deployed on the transportation route; A task allocation module, used to allocate transportation tasks to the capacitor transport vehicle based on production plan and inventory requirements; A path allocation module, used for allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle; The progress generation module is used to obtain the operating status data of the capacitor transport vehicle and generate the transport task execution progress based on the operating status data.

[0056] Optionally, as an embodiment of the present invention, the data acquisition module includes: An equipment binding unit, used to establish a binding relationship between key equipment and a transportation path based on the deployment location of key equipment, wherein the key equipment includes a marking machine, a baling machine, a weighing system, and a charging pile; The data acquisition unit is used to establish a communication connection with the key equipment and acquire the status data of the key equipment, wherein the status data includes power-on and power-off status and working electrical parameters, wherein the working electrical parameters include working current and working voltage.

[0057] Optionally, as an embodiment of the present invention, the task allocation module includes: A task generation unit, used to generate a transportation task according to the production plan and inventory requirements, wherein the operation task includes the type of transported raw materials and the transportation direction, and the transportation direction includes a starting point and an end point; A vehicle screening unit, used for acquiring positioning data of the capacitor transport vehicle, and screening out a target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; A task allocation unit is used to allocate the transportation task to the target capacitor transport vehicle.

[0058] Figure 4 This is a schematic diagram of the structure of a terminal 400 provided in an embodiment of the present invention. The terminal 400 can be used to execute the steel coil transportation equipment management method provided in an embodiment of the present invention.

[0059] The terminal 400 may include: a processor 410, a memory 420 and a communication unit 430. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0060] The memory 420 can be used to store the execution instructions of the processor 410, and the memory 420 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 420 are executed by the processor 410, the terminal 400 can perform some or all of the steps in the following method embodiments.

[0061] The processor 410 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 420, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 410 can include only a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0062] The communication unit 430 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0063] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0064] Therefore, the present invention combines the status of key equipment with the production plan and inventory demand to produce the transportation task and the execution route of the computing task, thereby realizing the rational allocation of the transportation task, and monitoring the task progress by monitoring the status of the capacitor transport vehicle. The present invention improves the transportation efficiency of the steel coil and realizes the refined control of the transportation process. The technical effects that can be achieved by this embodiment can be found in the description above and will not be repeated here.

[0065] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0066] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0067] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0068] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0069] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0070] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A method for managing steel coil transportation equipment, characterized in that: include: Obtain status data of key equipment deployed on the transportation route; Allocate transportation tasks for the capacitor transport vehicle based on production plans and inventory requirements; Allocate an execution path for the capacitor transport vehicle based on the transport task and the status data, and send the execution path to the capacitor transport vehicle; The running status data of the capacitor transport vehicle is obtained, and the transport task execution progress is generated based on the running status data.

2. The method according to claim 1, characterized in that Obtain status data of key equipment deployed on the transportation route, including: Based on the deployment location of key equipment, a binding relationship between key equipment and transportation routes is established, wherein the key equipment includes a marking machine, a baling machine, a weighing system, and a charging pile; Establish a communication connection with the key equipment and obtain the status data of the key equipment, wherein the status data includes power-on and power-off status and working electrical parameters, wherein the working electrical parameters include working current and working voltage.

3. The method according to claim 2, characterized in that Assigning transportation tasks to the capacitor transport vehicle based on production plans and inventory requirements includes: Generate a transportation task according to the production plan and inventory requirements, wherein the transportation task includes the type of raw materials to be transported and the transportation direction, and the transportation direction includes a starting point and an end point; Acquire the positioning data of the capacitor transport vehicle, and select the target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; The transport task is assigned to the target capacitor transport vehicle.

4. The method according to claim 3, characterized in that Allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle, comprising: Obtain status data of key equipment bound to all transportation routes; Compare the status data of key equipment with the preset standard thresholds, and mark the status data that exceeds the standard threshold range as abnormal data; Determine the faulty equipment based on the abnormal data, and if the faulty equipment exceeds a set safety number threshold, mark the corresponding transportation path as an unavailable path; The remaining transport routes that are not marked as unavailable routes are saved in the candidate route set; Based on the starting point and the end point of the transportation task, an execution path is selected from the candidate path set using a shortest path algorithm.

5. The method according to claim 1, characterized in that Acquiring the running status data of the capacitor transport vehicle and generating the transport task execution progress based on the running status data, including: Obtain the speed, acceleration, load data and positioning data of the capacitor transport vehicle; Based on the preset correspondence between the load level, the speed level and the acceleration level, the corresponding standard speed level and standard acceleration level are obtained according to the load level to which the load data belongs; Determine whether the speed belongs to the standard speed level, whether the acceleration belongs to the standard acceleration level, and start timing if the speed does not belong to the standard speed level or the acceleration does not belong to the standard acceleration level; If the timing reaches the set time limit, the execution progress is set as abnormal; If the timing time does not reach the set time limit, the remaining path length is calculated based on the positioning data of the capacitor transport vehicle and the end point of the transport task, and the remaining time is calculated based on the average speed of the capacitor transport vehicle and the remaining path length.

6. A steel coil transportation equipment management system, characterized in that: include: A data acquisition module is used to obtain status data of key equipment deployed on the transportation route; A task allocation module, used to allocate transportation tasks to the capacitor transport vehicle based on production plan and inventory requirements; A path allocation module, used for allocating an execution path for the capacitor transport vehicle based on the transport task and the status data, and sending the execution path to the capacitor transport vehicle; The progress generation module is used to obtain the operating status data of the capacitor transport vehicle and generate the transport task execution progress based on the operating status data.

7. The system according to claim 6, characterized in that The data acquisition module comprises: An equipment binding unit, used to establish a binding relationship between key equipment and a transportation path based on the deployment location of key equipment, wherein the key equipment includes a marking machine, a baling machine, a weighing system, and a charging pile; The data acquisition unit is used to establish a communication connection with the key equipment and acquire the status data of the key equipment, wherein the status data includes power-on and power-off status and working electrical parameters, wherein the working electrical parameters include working current and working voltage.

8. The system according to claim 7, characterized in that The task allocation module includes: A task generation unit, used to generate a transportation task according to the production plan and inventory requirements, wherein the operation task includes the type of transported raw materials and the transportation direction, and the transportation direction includes a starting point and an end point; A vehicle screening unit, used for acquiring positioning data of the capacitor transport vehicle, and screening out a target capacitor transport vehicle closest to the starting point from the idle capacitor transport vehicles based on the positioning data; A task allocation unit is used to allocate the transportation task to the target capacitor transport vehicle.

9. A terminal, characterized in that: include: A memory, used for storing a steel coil transport equipment management program; A processor is used to implement the steps of the steel coil transportation equipment management method as described in any one of claims 1-5 when executing the steel coil transportation equipment management program.

10. A computer-readable storage medium storing a computer program, characterized in that: The readable storage medium stores a steel coil transportation equipment management program, and when the steel coil transportation equipment management program is executed by the processor, the steps of the steel coil transportation equipment management method according to any one of claims 1 to 5 are implemented.

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