CN-121504108-B - Real-time dispatching management method and system for production logistics in digital twin workshops

CN121504108BCN 121504108 BCN121504108 BCN 121504108BCN-121504108-B

Abstract

The invention relates to the technical field of production logistics scheduling management and discloses a method and a system for real-time scheduling management of production logistics in a digital twin workshop, comprising the following steps of 1, establishing unified state data and standard parameter base lines, calculating consistency deviation values and setting two-stage deviation judgment thresholds; step 2, receiving site events and determining a scheduling time window, step 3, determining task priority and generating a production to-be-executed list, step 4, generating a carrying task set by the production to-be-executed list and determining carrying equipment and task allocation under constraint, step 5, carrying out channel conflict-free path planning and generating a space-time occupation table, step 6, carrying out cross consistency check and carrying out issuing or local recalculation according to a threshold, and step 7, executing site operation and updating unified state data, and executing consistency recovery when the deviation exceeds the limit. The invention realizes real-time collaborative scheduling and high-reliability operation of workshop production and logistics tasks.

Inventors

LIN QIANG
YU RENCHANG
ZHANG JUNHAO
CAO GONGXIANG
LIN CHAOWEI
ZHANG PEIXIANG

Assignees

福建科烨数控科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260114

Claims (7)

1. The real-time dispatching management method for the production logistics of the digital twin workshops is characterized by comprising the following steps of: Step 1, establishing unified state data and a standard parameter baseline, calculating a consistency deviation value based on the unified state data and the standard parameter baseline, and setting a two-stage deviation judgment threshold; Step 2, receiving the field event, and determining a scheduling time window according to the unified state data, the standard parameter base line, the consistency deviation value and the field event, wherein the step comprises the following steps: step 11, acquiring field events from a production workshop, wherein each field event comprises an event type and a time stamp, organizing the field events into a set according to the event type according to a time sequence, and distributing a unique identifier and a corresponding time stamp for each event to form a field event set; Step 12, projecting real-time queue information in the unified state data to each channel, and calculating the proportion of the excess capacity part of each channel to the sum of all channel capacities to obtain a channel congestion coefficient; step 13, obtaining a scheduling time window by weighting a basic time window, a channel congestion coefficient and an event influence coefficient, wherein the event influence coefficient is determined according to the type and the number of the on-site events; step 3, determining priority based on the standard parameter base line and the unified state data, and generating a production to-be-executed list; step 4, generating a carrying task set by the production to-be-executed list, and determining a carrying device and a carrying task distribution result under the constraint that the loading capacity, the electric quantity and the clamping are compatible; Step 5, carrying out conflict-free path planning on the channel based on the allocation results of the carrying equipment and the carrying tasks to form a space-time occupation table; step 6, cross consistency check is carried out according to the consistency deviation value, the space-time occupancy table and the upper limit of each station queue, a downward production operation sequence and downward transmission conveying equipment tasks are generated based on a first threshold and a second threshold, and the recalculation is carried out on partial objects related to the deviation, wherein the step comprises the following steps: step 51, counting the feeding quantity and the discharging quantity in a scheduling time window, and obtaining a new queue length of the station by adding the feeding quantity and subtracting the discharging quantity to the current queue length; Step 52, when the consistency deviation value is smaller than or equal to a first threshold, the space-time occupation tables of all channels have no conflict, and the new queue length of all stations is smaller than or equal to the upper queue limit, generating a downward production operation sequence and downward transmission of a transport equipment task, and issuing a scheduling scheme; step 53, when the consistency deviation value is greater than the first threshold and less than or equal to the second threshold, performing local recalculation on the stations, carrying equipment and channels related to the deviation, and recalculating logistics task assignment and path planning; Step 7, performing field operation according to the downward production operation sequence and the downward transmission conveying equipment task and the time space occupation table, collecting receipt data and updating unified state data; The production side executes the operation according to the downward production operation sequence, the logistics side executes equipment transportation according to the downward transportation equipment task and the space-time occupation table, acquires response piece data in real time on site, wherein the response piece data comprises a task unique identifier, an event type, a time stamp, the number of completed procedures and the position of the stations, updates the response piece data into unified state data in real time, and if the transportation equipment generates path conflict, processes and synchronously updates the space-time occupation table according to a static yielding rule; When the consistency deviation value is greater than a second threshold, the response piece data is used to correct the unified state data.
2. The method of claim 1, wherein establishing a unified state data and standard parameter baseline and calculating a consistency deviation value based on the unified state data and standard parameter baseline comprises: Collecting work-in-process quantity, length of each station queue, position of carrying equipment and running state of the equipment, and performing time stamp alignment to form unified state data; comparing the field value of each field in the unified state data with the virtual value of the corresponding field in the twin virtual state one by one to generate a difference quantity, and carrying out linear weighted accumulation on all the difference quantities according to a preset weight and a normalization coefficient to form a consistency deviation value.
3. The method of claim 1, wherein determining task priorities based on standard parameter baselines and unified status data, generating a production wait-to-execute list comprises: Step 21, calculating the sum of standard processing time lengths of all the remaining procedures of the order as the remaining working hours of each production task, and calculating the difference between the order cut-off time and the remaining working hours as the looseness of the order; Step 22, calculating the absolute difference between the current queue length and the target queue length of the stations, and dividing the absolute difference by the target queue length to obtain the queue deviation of each station; And step 23, obtaining the priority of each task by carrying out weighted summation on the looseness of the order, the station queue deviation and the task urgency, and generating a production to-be-executed list according to the priority order.
4. The method for real-time dispatch management of a digital twin shop production commodity circulation according to claim 1, wherein generating a set of handling tasks from a production to-be-executed list and determining a handling device and a handling task allocation result under the constraint that the load, the electric quantity and the clamping are compatible comprises: step 31, generating corresponding carrying tasks to form a carrying task set according to stations to be processed of each order in the production to-be-executed list, wherein each carrying task comprises a material lifting point, a material feeding point and a time window; Step 32, calculating the sum of the distance from the position of the carrying equipment to the material lifting point and the distance from the material lifting point to the material feeding point, dividing the sum by the running speed of the carrying equipment, and superposing the loading and unloading time consumption of the carrying task and the parking time consumption of the carrying equipment after the task is completed to obtain the carrying cost; And step 33, matching the carrying tasks with the carrying equipment under the condition of meeting the load constraint, the electric quantity constraint and the clamping compatibility constraint, calculating the sum of carrying costs of all the carrying tasks to obtain the total cost, and obtaining the final distribution result by minimizing the total cost.
5. The method for real-time dispatch management of digital twin shop production logistics according to claim 1, wherein the step of performing collision-free path planning on the channel based on the allocation results of the handling equipment and the handling tasks to form a space-time occupancy table comprises: Step 41, calculating the path of each carrying device according to the distribution result of the carrying device and the carrying task, wherein the path comprises the steps of calculating the running time of each path from the position of the carrying device to a material lifting point, the material lifting point to a material feeding point and the material feeding point to the next task position of the carrying device by adopting a shortest path algorithm; Step 42, calculating the occupied time of each path and the running time of the conveying equipment passing through the path according to the length of the conveying equipment path and the running speed of the equipment, obtaining the leaving path time, recording the space-time occupied by each path based on the entering path position and the leaving path position, and generating a space-time occupied table; and 43, judging whether the path conflict exists by detecting space-time occupation of the path of the conveying equipment, if so, preferentially adjusting the path with lower priority, and adopting a secondary short path for adjustment.
6. The method for real-time dispatching management of production logistics in a digital twin workshop according to claim 1, wherein the completion progress of each task is tracked in real time during the execution of the production job, the resource allocation of the carrying device and the stations is automatically adjusted according to the completion condition of the execution of the task, when the stations complete the task in advance, the carrying device of the station is automatically dispatched to execute the next task, when the station task is delayed, the dispatching time window of the task is adjusted.
7. A digital twin plant production logistics real-time scheduling management system, characterized in that the digital twin plant production logistics real-time scheduling management method as claimed in any one of claims 1-6 is adopted, comprising: The unified state and baseline module is used for establishing unified state data and a standard parameter baseline, calculating a consistency deviation value based on the unified state data and the standard parameter baseline, and setting a two-stage deviation judgment threshold; the on-site event scheduling module is used for receiving the on-site event and determining a scheduling time window according to the unified state data, the standard parameter base line, the consistency deviation value and the on-site event; the priority generation module is used for determining priority based on the standard parameter base line and the unified state data and generating a production to-be-executed list; the carrying task distribution module is used for generating a carrying task set by a production to-be-executed list and determining carrying equipment and a carrying task distribution result under the constraint that the loading capacity, the electric quantity and the clamping are compatible; The path planning module is used for carrying out conflict-free path planning on the channel based on the allocation results of the carrying equipment and the carrying tasks to form a space-time occupation table; The consistency checking module is used for carrying out cross consistency checking on the consistency deviation value, the space-time occupation table and the upper limit of each station queue, generating a downward production operation sequence and downward transport equipment task based on the first threshold and the second threshold, and recalculating the partial object related to the deviation; And the execution and receipt module is used for executing field operation according to the downloadable production operation sequence and the downloadable transport equipment task and the time space occupation table, collecting receipt data and updating unified state data, and carrying out consistency recovery when the consistency deviation value is higher than a second threshold.

Description

Real-time dispatching management method and system for production logistics in digital twin workshops Technical Field The invention belongs to the technical field of production logistics scheduling management, and particularly relates to a method and a system for real-time scheduling management of production logistics in a digital twin workshop. Background In discrete production scenes, manufacturing enterprises generally face the problems of complex procedures, complex equipment types, crossed logistics paths, unstable task arrival rhythms and the like. Along with the improvement of the product customization degree and the increase of the order quantity, key parameters such as the number of workshops in products, the length of station queues, the running state of equipment, the load condition of carrying equipment and the like present high-frequency fluctuation, the traditional scheduling mode depending on manual experience or fixed rules is difficult to respond to on-site changes in time, and is easy to cause process waiting, equipment idling and logistics channel congestion, so that the production beat is disordered and the resource utilization rate is reduced. The rise of digital twin technology provides a virtual reality bi-directional mapping capability for manufacturing systems, enabling plant states to be simulated, predicted and optimized. However, there are differences such as sensing errors, synchronization delays, event disturbances, etc. between the virtual model and the field data, and if an effective virtual-real consistency monitoring and correcting mechanism is lacking, the virtual model cannot accurately reflect the field state, resulting in deviation of the scheduling strategy from the actual running conditions. Meanwhile, the production task and the logistics transport task are highly coupled, the production plan change can influence the logistics task generation and transport equipment paths, and the logistics delay can also influence the station load and the production rhythm, so that the scheduling problem is more complex in a dynamic environment. The application of the autonomous handling equipment improves the flexibility of workshop logistics, but task allocation needs to meet constraints such as load, electric quantity and clamping compatibility, and path collision is avoided in a shared channel. Lack of space-time analysis and conflict handling mechanisms for channel occupancy can easily lead to device blocking or yielding confusion. In addition, if the scheduling system frequently executes global recalculation, scheduling jitter will be caused, and production continuity will be affected. Disclosure of Invention The invention provides a real-time dispatching management method and a real-time dispatching management system for production logistics in a digital twin workshop, which solve the technical problems that in the related art, the dispatching decision deviation is caused by asynchronous virtual and real states, the coordination is insufficient due to the cutting of production and logistics tasks, the task allocation is difficult under the constraint of carrying equipment, and the channel congestion and the path conflict cannot be processed in real time. The invention provides a real-time dispatching management method for production logistics of a digital twin workshop, which comprises the following steps: Step 1, establishing unified state data and a standard parameter baseline, calculating a consistency deviation value based on the unified state data and the standard parameter baseline, and setting a two-stage deviation judgment threshold; step 2, receiving a field event, and determining a scheduling time window according to the unified state data, the standard parameter base line, the consistency deviation value and the field event; step 3, determining priority based on the standard parameter base line and the unified state data, and generating a production to-be-executed list; step 4, generating a carrying task set by the production to-be-executed list, and determining a carrying device and a carrying task distribution result under the constraint that the loading capacity, the electric quantity and the clamping are compatible; Step 5, carrying out conflict-free path planning on the channel based on the allocation results of the carrying equipment and the carrying tasks to form a space-time occupation table; step 6, cross consistency check is carried out according to the consistency deviation value, the space-time occupation table and the upper limit of each station queue, a downward production operation sequence and downward transport equipment tasks are generated based on a first threshold and a second threshold, and recalculation is carried out on partial objects related to the deviation; And 7, performing field operation according to the downloadable production operation sequence and the downloadable transport equipment task and the time space occupation table, collect