Scheduling task automatic tracking method and device based on locomotive hot-metal bottle position

Abstract

The invention discloses an automatic scheduling task tracking method and device based on the position of a locomotive hot-metal bottle. The method comprises the steps of collecting multi-dimensional data related to a scheduling task; the multi-dimensional data at least comprises equipment state data, task data, task disassembly data and position data; identifying steps contained in the scheduling task and actions corresponding to the steps based on the task data and the task disassembly data, and judging the starting states of the steps and the actions according to a preposed association relationship between the steps and the actions; according to different types of the actions, a preset differential completion judgment standard is adopted, and the completion state of the actions is verified; and performing cooperative verification on the state of the scheduling task by combining an automatic tracking program and an event-triggered manual verification program. According to the invention, the scheduling efficiency and accuracy are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of metallurgical engineering technology, specifically to an automatic tracking method and device for scheduling tasks based on the location of locomotive molten iron ladles. Background Technology

[0002] In the iron-steel interface production process of metallurgical engineering, the scheduling and transportation of locomotives and molten iron ladles is a crucial step connecting ironmaking and steelmaking, directly affecting the efficiency of molten iron transfer and production continuity. Currently, the scheduling tasks at the iron-steel interface mainly rely on dispatchers manually recording and observing molten iron production, then issuing locomotive scheduling tasks, manually clicking signal lights on the microcomputer interlocking system to manage each route, and then using walkie-talkies to notify the uncoupling and re-engaging operations upon task completion.

[0003] With the expansion of metallurgical production scale and the increasing demand for intelligent systems, traditional manual tracking methods need to integrate data from multiple dimensions (such as locomotive position, switch status, blast furnace tapping status, and the empty / full status of molten iron ladles). However, manual processing is prone to problems such as data lag and judgment errors. At the same time, scheduling tasks include different types such as entry / stop and turnaround tasks, and the criteria for judging the completion node differ for different tasks. It is difficult for manual personnel to accurately distinguish and verify these differences in real time, resulting in low task tracking efficiency, high error rate, and even affecting the molten iron transfer rhythm, increasing the risk of production delays.

[0004] To improve tracking efficiency, some scenarios have introduced simple automated tracking tools, but they still lack a collaborative mechanism with manual verification, making it difficult to cope with complex iron and steel interface scheduling scenarios. They still require a lot of manual intervention and have failed to achieve true intelligent and automated tracking. Summary of the Invention

[0005] The purpose of this invention is to provide an automatic tracking method and device for scheduling tasks based on the location of locomotives and molten iron ladles, so as to achieve efficient tracking and management of the scheduling and transportation of locomotives and molten iron ladles.

[0006] To solve the above-mentioned technical problems, the present invention provides an automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladles, comprising: S1. Collect and schedule multi-dimensional data related to tasks; the multi-dimensional data should include at least device status data, task data, task breakdown data, and location data. S2. Based on task data and task breakdown data, identify the steps included in the scheduling task and the actions corresponding to each step. Determine the start status of the steps and actions based on the preceding association between the steps and actions. S3. For different types of actions, use preset differentiated completion judgment criteria to verify the completion status of the actions; S4. Combine the automatic tracking program with the event-triggered manual verification program to perform collaborative verification of the status of the scheduled task.

[0007] According to the above scheme, the equipment status data includes the turnout positioning status and the section occupancy status. The task data includes the task ID, associated locomotive number, and ladle number; Task breakdown data includes the steps of the scheduled task and the corresponding actions for each step; The location data includes locomotive location data and the head and tail positions of the train.

[0008] According to the above scheme, step S2 includes: S201. If the status of a step is "not started" and the status of its preceding step is "completed", then the step will be automatically started and the step status will be updated to "in progress". S202. If the action status is not started and the status of its preceding actions are all completed, the path processing of the action will be automatically triggered and the status of the action will be updated to in progress.

[0009] According to the above scheme, step S3 includes: S301. If the action type is "entering and stopping", the action is considered complete when the coordinates of the train head enter the end section defined by the action. S302. If the action type is a turnaround type, the action is considered complete when the rear coordinate of the train has completely passed the turnaround signal and the status of the section behind the signal is updated to be idle.

[0010] According to the above scheme, step S4 includes: S401. When a manually triggered step or action is completed, a manual verification procedure is initiated. The manual verification procedure calls the action completion judgment logic in the automatic tracking procedure to verify the consistency between the manual operation and the actual train position. If the step is to uncouple, an additional verification is performed to check whether the current position of the molten iron ladle is consistent with the positioning section defined in the step. S402. After verification, the status of the scheduled task-step-action in the database and memory is updated synchronously.

[0011] According to the above scheme, when all steps included in the scheduling task are completed, a task completion notification is output, the process enters the end state, and waits for the next scheduling task to be triggered; the task completion notification includes task time and molten iron ladle arrival accuracy data.

[0012] According to the above scheme, the occupancy status of the section includes three states: occupied, idle, and locked, and the turnout positioning status includes two states: positioning and reversal.

[0013] According to the above scheme, once the completion status verification of an action is passed, the application for the next action or the update of the step status will be automatically triggered.

[0014] According to the above scheme, if the manual verification program finds that the current position of the molten iron ladle is inconsistent with the defined positioning section in the steps, it will report a message that the molten iron ladle is not in position, and manual reconfirmation is required before updating the completion status of the action.

[0015] The present invention also provides an automatic tracking device for scheduling tasks based on the location of locomotive molten iron ladle, comprising: The data acquisition module is used to collect multi-dimensional data related to scheduling tasks; the multi-dimensional data includes at least device status data, task data, task breakdown data, and location data. The task decomposition and start determination module is used to identify the steps included in the scheduling task and the actions corresponding to each step based on the task data and task decomposition data, and to determine the start status of the steps and actions according to the preceding association relationship between the steps and actions. The action completion determination module is used to verify the completion status of actions based on preset differentiated completion determination criteria for different types of actions. The collaborative verification module is used to combine the automatic tracking program with the event-triggered manual verification program to perform collaborative verification of the status of the scheduled task.

[0016] Beneficial effects This invention comprehensively acquires key information required for scheduling task progress by collecting multi-dimensional data, including equipment status data, task data, task breakdown data, and location data related to scheduling tasks. This avoids the problems of incomplete and delayed information caused by a single data source, providing comprehensive and reliable data support for accurate tracking of scheduling tasks. Based on task data and task breakdown data, it identifies the steps included in the scheduling task and the corresponding actions for each step, and determines their start status according to the pre-existing correlation between steps and actions. This ensures that the execution of scheduling tasks can proceed in an orderly manner according to preset logic, avoiding chaotic situations such as disordered start or omission of steps or actions, and guaranteeing the standardization and continuity of the scheduling process. Different types of actions are addressed using... The preset differentiated completion judgment criteria verify the completion status of actions, which can accurately match the execution characteristics of various actions. This solves the problem of judgment error caused by the difficulty of adapting a unified judgment standard to different types of actions, and significantly improves the accuracy of action completion status judgment. By combining the automatic tracking program with the event-triggered manual verification program to perform collaborative verification of the scheduling task status, the efficiency of the automatic tracking program is fully utilized, reducing the efficiency loss caused by repetitive manual operations. At the same time, the manual verification program is used to perform secondary verification for special scenarios or manual operations, which effectively avoids the omissions that may exist in the single automatic tracking, further ensuring the reliability of scheduling task status judgment, and ultimately achieving a significant improvement in scheduling efficiency and accuracy. Attached Figure Description

[0017] Figure 1This is a flowchart of an automatic tracking method for scheduling tasks based on the location of a locomotive molten iron ladle, according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0019] The current methods for tracking the scheduling of locomotives and molten iron ladles have the following shortcomings: 1. The tracking method is singular and the judgment accuracy is low: the task status is judged only based on the position of the locomotive head, without considering the overall range of the train (locomotive, connecting frame length). In scenarios such as turnaround tasks that need to be judged based on the position of the tail, misjudgment is easy to occur, resulting in delays or advances in route processing.

[0020] 2. Poor data coordination and missing status verification: Data such as section occupancy, turnout status, and molten iron ladle-car frame connection relationship are not integrated, making it impossible to verify the matching between section occupancy and the actual position of the train. This can easily lead to sections "turning red prematurely" or "turning empty late", affecting scheduling decisions.

[0021] 3. Insufficient collaboration between manual and automated processes: The verification logic for manual task completion and automatic tracking is not clearly defined. There is a lack of secondary verification of the molten iron ladle's arrival after manual operation (such as subsequent hook removal operation), which easily leads to erroneous updates to the task status and causes production process chaos.

[0022] Based on the above situation, the present invention solves the following technical problems: 1. Construct a multi-dimensional data collaboration mechanism to integrate data such as locomotive position, train range, section status, and task action type, so as to achieve accurate determination of the completion node of scheduling tasks and solve the problem of low determination accuracy of existing technologies.

[0023] 2. Design differentiated judgment logic for task types. For entry-stop type and turnaround type tasks, formulate judgment criteria such as "head entering the end section" and "tail completely passing the signal" respectively to solve the problem of poor task type adaptability.

[0024] 3. Enable automatic connection between task steps and route processing. After the task action is completed, automatically trigger the next action route application or step status update, reduce manual intervention and improve scheduling efficiency.

[0025] See Figure 1The invented automatic tracking system for scheduling tasks includes acquiring the positions of locomotives and the head and tail of the entire train, determining task steps and actions, verifying status and coordinating execution. It combines a periodically executed automatic tracking program with an event-triggered manual verification program to achieve accurate tracking of the entire scheduling task process. The specific implementation process is as follows.

[0026] (a) Initializing data acquisition After the program starts, it retrieves the following data: Equipment status data: Obtain turnout positioning status (position / reverse) and section occupancy status (occupied / idle / locked). Task data: Read the list of currently executing tasks from the scheduling system, including task ID, associated locomotive number, ladle number, etc. Task breakdown data: Obtain the steps involved in breaking down a task and the actions included in each step from the task management module; Location data: Calculated locomotive and train position data are obtained from the location tracking system; (ii) Step-level tracing logic Step start determination: Check the status of each task's steps: If the step is "not started" and its preceding steps (if any) are "completed", the system automatically triggers the step start process - notifying the scheduler to split the execution parameters (action path) of the step, and change the step status to in progress and write it to the database; Step completion determination: When all actions included in a step are completed and the post-step operation (such as manual unhooking confirmation) has been executed, the system will update the step status to "completed" and update the current section position of the locomotive, molten iron ladle, and chassis in the configuration table.

[0027] (III) Action-level tracking logic Action initiation determination: Check each action within the step: If the action status is "not started" and its preceding actions (if any) are all "completed", the system notifies the scheduler through the interface to process the path of the action and sets the action status to "in progress".

[0028] Action completion determination: The system performs differentiated determination based on the action type (entering to a stop / turning back). Entering a stationary action: When the coordinates of the train head calculated by the tracking system enter the end section defined by the action, the action is determined to be completed, and the status is updated to "completed".

[0029] Turnaround action: When the rear coordinate of the train has completely passed the turnaround signal and the status of the section behind the signal is updated to "idle", the action is determined to be completed and the status is updated to "completed".

[0030] (iv) Task completion closed loop When all steps in a task are updated to "Completed", the system triggers the following action: Send a task completion notification to the scheduling system, including key data such as task duration and the accuracy of the molten iron ladle arrival. The process has entered the "Ended" state and is waiting for the next task to be triggered.

[0031] (v) Manual verification procedure (event triggered) Triggering condition: When the dispatcher clicks "Step completed" or "Action completed" on the front-end interface, the manual verification procedure is triggered.

[0032] Verification logic: The program first reads the action type and completion criteria corresponding to the task step, and then automatically tracks the judgment logic in the program (such as checking whether the tail of the train has passed the signal for a turnaround task) to confirm whether the manually clicked "complete" status is consistent with the actual position of the train.

[0033] If it is a "post-unhooking" step, additionally verify the position status of the molten iron ladle: read the current position of the molten iron ladle from the Redis database and compare it with the position segment defined in the step. If they match, the step is confirmed to be completed; if they do not match, report "molten iron ladle not in place" and prompt manual reconfirmation.

[0034] Status synchronization: After verification, the status of the task-step-action in the database and memory is updated synchronously, and the process is consistent with the "processing after action completion" of the automatic tracking program.

[0035] Key aspects of this invention include: 1. Differentiated judgment logic based on action type: For entry-to-stop tasks, the judgment standard is "the locomotive head enters the terminal section"; for turnaround tasks, the judgment standard is "the rear of the train completely passes the signal". The rear position is calculated in combination with the total length of the train to achieve accurate judgment.

[0036] 2. Automatic and manual collaborative verification logic: After the task is completed manually, the system automatically repeats the task judgment process and verifies the position of the molten iron ladle to avoid human error. At the same time, manual operation can cover special scenarios of automatic tracking (such as equipment failure).

[0037] 3. Automatic tracking mechanism for scheduling tasks: No manual intervention is required for each step and action. The system automatically determines the start and completion status of tasks, steps, and actions through built-in logic, forming a closed loop of fully automated tracking.

[0038] Compared with the prior art, the present invention has the following improvements in application scenarios: 1. Reduce manual operation steps: After the blast furnace foreman generates a scheduling request, the scheduling program automatically generates the task and starts execution. The scheduling staff does not need to manually arrange routes for each line. The locomotive driver only needs to click on the operation (if any) after completing the steps, which improves efficiency by up to 60%. 2. Optimize route connection efficiency: After an action is completed, the next action route application is automatically triggered, eliminating the need for manual initiation. The route processing response time is shortened from the original 3-5 minutes to within 10 seconds, improving the speed of molten iron transfer. 3. Improve railway transportation efficiency: By automatically tracking and scheduling tasks, the system automatically determines the completion of steps and actions, reducing the time spent on manual route planning and task confirmation, increasing the temperature of molten iron entering the furnace by approximately 30-40°C, and improving the overall railway transportation turnover efficiency by up to 40%. It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0039] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladles, characterized in that, include: S1. Collect and schedule multi-dimensional data related to tasks; Multi-dimensional data should include at least device status data, task data, task breakdown data, and location data; S2. Based on task data and task breakdown data, identify the steps included in the scheduling task and the actions corresponding to each step. Determine the start status of the steps and actions based on the preceding association between the steps and actions. S3. For different types of actions, use preset differentiated completion judgment criteria to verify the completion status of the actions; S4. Combine the automatic tracking program with the event-triggered manual verification program to perform collaborative verification of the status of the scheduled task.

2. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, Equipment status data includes turnout positioning status and section occupancy status; The task data includes the task ID, associated locomotive number, and ladle number; Task breakdown data includes the steps of the scheduled task and the corresponding actions for each step; The location data includes locomotive location data and the head and tail positions of the train.

3. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, Step S2 includes: S201. If the status of a step is "not started" and the status of its preceding step is "completed", then the step will be automatically started and the step status will be updated to "in progress". S202. If the action status is not started and the status of its preceding actions are all completed, the path processing of the action will be automatically triggered and the status of the action will be updated to in progress.

4. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, Step S3 includes: S301. If the action type is "entering and stopping", the action is considered complete when the coordinates of the train head enter the end section defined by the action. S302. If the action type is a turnaround type, the action is considered complete when the rear coordinate of the train has completely passed the turnaround signal and the status of the section behind the signal is updated to be idle.

5. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, Step S4 includes: S401. When a manually triggered step or action is completed, a manual verification procedure is initiated. The manual verification procedure calls the action completion judgment logic in the automatic tracking procedure to verify the consistency between the manual operation and the actual train position. If the step is to uncouple, an additional verification is performed to check whether the current position of the molten iron ladle is consistent with the positioning section defined in the step. S402. After verification, the status of the scheduled task-step-action in the database and memory is updated synchronously.

6. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, When all steps in the scheduling task are completed, a task completion notification is output, the process enters the end state, and waits for the next scheduling task to be triggered; the task completion notification includes task time and molten iron ladle arrival accuracy data.

7. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 2, characterized in that, The occupancy status of a track section includes three states: occupied, idle, and locked. The turnout positioning status includes two states: positioning and reversal.

8. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 1, characterized in that, Once the completion status verification of an action is passed, the application for the next action or the update of the step status will be automatically triggered.

9. The automatic tracking method for scheduling tasks based on the location of locomotive molten iron ladle according to claim 5, characterized in that, If the manual verification program finds that the current position of the molten iron ladle is inconsistent with the defined positioning section in the steps, it will report a message indicating that the molten iron ladle is not in position, and manual reconfirmation is required before updating the completion status of the action.

10. An automatic tracking device for scheduling tasks based on the location of a locomotive's molten iron ladle, characterized in that, include: The data acquisition module is used to collect multi-dimensional data related to scheduling tasks; Multi-dimensional data should include at least device status data, task data, task breakdown data, and location data; The task decomposition and start determination module is used to identify the steps included in the scheduling task and the actions corresponding to each step based on the task data and task decomposition data, and to determine the start status of the steps and actions according to the preceding association relationship between the steps and actions. The action completion determination module is used to verify the completion status of actions based on preset differentiated completion determination criteria for different types of actions. The collaborative verification module is used to combine the automatic tracking program with the event-triggered manual verification program to perform collaborative verification of the status of the scheduled task.

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