Intelligent Scheduling System for Factory Logistics Simulation

Abstract

The intelligent scheduling system applied to factory logistics simulation belongs to the field of intelligent scheduling technology, including a circulation detection model, a circular logistics channel, a product processing equipment sensor and a trolley, wherein the circulation detection model is provided with a sensor algorithm and a process association table, and a logistics channel connected end to end is established by using simulation software, a head-end sensor is provided at the head end of the logistics channel, a trolley capable of traveling along the logistics channel is placed in the logistics channel, product processing equipment is provided around the logistics channel, and a product processing equipment sensor is provided at each product processing equipment on the logistics channel; a body sensor is provided on the trolley, and when the product transfer equipment triggers the product processing equipment sensor, the circulation detection model judges according to the sensor algorithm and the process association table, and then mobilizes the product transfer equipment to realize the directional transportation of the factory logistics simulation. The present invention has the functions of circulation detection and on-demand calling, can ensure the smooth operation of the simulation model, and is simple and practical.

Description

Technical Field

[0001] The present invention relates to the field of intelligent scheduling technology, and in particular to an intelligent scheduling system applied to factory logistics simulation. Background Art

[0002] A modern factory is a complex organism that needs to have the functions of material management and intelligent scheduling while achieving basic processing and production. Some factories also require the production line to be able to flexibly produce a variety of products. At the same time, the process flow of the production line is becoming more complex and perfect, and the upstream and downstream connections are becoming increasingly close. While enterprises require high efficiency and high production capacity, they also have higher and higher requirements for product quality. Factors such as production rhythm, process layout, logistics planning, facility layout, and equipment failure not only affect production efficiency and production costs, but also have an increasingly important impact on the overall production capacity of modern factories.

[0003] With the rapid development of computer technology and virtual simulation technology, the use of simulation software can be used to reasonably design or upgrade the factory, greatly saving labor costs and time. Enterprises can use the virtual simulation platform to quantitatively verify other aspects of the production system such as workshop equipment layout, process optimization, production logistics design, causes of blockages in the production process, and factory capacity, and find the direction of optimization based on the simulation results, providing a reasonable basis for the overall production line upgrade and optimization of capital investment.

[0004] The current simulation software is relatively mature. Software such as Tecnomatix Plant Simulation can meet the simulation needs very well. However, this type of software can only provide basic models for simulators. Simulators need to reasonably integrate them into the same environment through pre-design planning, and then implement different actions in the simulation through scripting to simulate the actual production process of the production line after the transformation. The difficulty of simulation is mainly affected by the complexity of the production line process. When facing large-scale and small-variety production lines, simple models can meet the simulation requirements. However, when facing aerospace products, due to the characteristics of aerospace products such as small batches, multiple varieties, and long production lines, simulators need to do a lot of integration work. In addition, the docking between equipment and equipment, the docking between equipment and processes, and the coordination between different factories can easily lead to a greatly increased complexity of simulation work.

[0005] Aviation products in factories need to be transferred from one device to another, or even from one factory to another for subsequent processing. In most cases, due to the long processing time of products, the number of product transfer equipment cannot be equal to the number of products. Product transfer equipment is only responsible for transporting products to the corresponding location, and then completing other transfer work. These need to be reflected in the factory logistics simulation model. Therefore, an intelligent scheduling system needs to be set up in the simulation model. Simulators design and write intelligent scheduling algorithms to complete the intelligent scheduling of product transfer equipment in the factory logistics simulation model to ensure the smooth progress of factory logistics simulation, which will also increase the difficulty of factory logistics simulation. Summary of the invention

[0006] The technical problem solved by the present invention is to provide an intelligent scheduling system applied to factory logistics simulation to solve the problems in the above-mentioned background technology.

[0007] The technical problem solved by the present invention is achieved by adopting the following technical solutions:

[0008] A factory logistics simulation method, the specific steps are as follows:

[0009] Step 1: Factory field investigation. The field investigation content includes factory information and product information statistics, which are registered into the factory field investigation form;

[0010] Step 2: Sort out the process flow, sort out all the parameter information of all the process flows of each type of product, and finally compile the information into a process flow chart for easy subsequent review;

[0011] Step 3: On-site investigation of product processing equipment. The investigation of product processing equipment includes the location information and working information of each product processing equipment, and the product processing equipment is associated with the process flow table in step 2) to form a corresponding process association table;

[0012] Step 4: 3D model drawing. Using 3D modeling software, according to the factory field survey content in the factory field survey form in step 1), complete the actual outline modeling of the factory according to the actual size and import it into the simulation software. At the same time, complete the modeling of each type of product and import it into the simulation software;

[0013] Step 5: Simulation model establishment: Based on the simulation model drawn and imported in step 4), combined with the factory field inspection table in step 1) and the process association table in step 3), the product processing equipment and position relationship are constructed in the simulation model;

[0014] Step 6: Writing logic and scheduling algorithms. After the simulation model is established, use the simulation language to write the various actions required for the simulation and the sensor algorithms in the cyclic detection model of the intelligent scheduling system, and at the same time complete the construction of the logistics channel of the intelligent scheduling system.

[0015] The intelligent scheduling system applied to factory logistics simulation includes a circulation detection model, a circular logistics channel, a product processing equipment sensor and a trolley, wherein the circulation detection model is provided with a sensor algorithm and a process association table, and a logistics channel connected end to end is established by using simulation software, a head-end sensor is provided at the head end of the logistics channel, a trolley is placed in the logistics channel, and the trolley can travel along the logistics channel, product processing equipment is arranged around the logistics channel, and a product processing equipment sensor for triggering the operation of the product transfer equipment is provided at each product processing equipment on the logistics channel, and each product processing equipment sensor is provided with a number; a body sensor for detecting the operating status of the product processing equipment is provided on the trolley, and whether to start driving is determined by detecting the status of the product processing equipment; when the product transfer equipment triggers the product processing equipment sensor, the circulation detection model judges according to the sensor algorithm and the process association table, and then mobilizes the product transfer equipment to realize the directional transportation of the factory logistics simulation.

[0016] In the present invention, when the product processing equipment is not working or is working, the trolley is controlled by the body sensor to stop at the sensor at the head end of the logistics channel. When the product processing equipment is in the state of completing processing, the body sensor determines that the condition is met, and the trolley starts to move forward. During the forward movement, the product transfer equipment will trigger different product processing equipment sensors. After the loop detection model receives the triggered product processing equipment sensor signal, its internal sensor algorithm is also triggered, and then it starts to detect and determine whether there is idle product transfer equipment in the parking area. If so, the idle product transfer equipment is called and assigned a destination. When the processed product is connected to the transfer equipment, the product processing equipment returns to the non-working state. The trolley stops when it reaches the sensor at the head end of the logistics channel; if there is no idle product transfer equipment in the parking area, when the trolley reaches the sensor at the head end of the logistics channel, the product processing equipment is still in the processing completion state, the trolley continues to move forward, and the circular detection model continues to detect whether there is idle product transfer equipment in the parking area until the same product transfer equipment completes all its work and returns to the parking area to be detected and called again, the product processing equipment changes back to the non-working state, and the trolley stops at the sensor at the head end of the logistics channel until the next time the product processing equipment changes to the completed working state again, the trolley starts to move along the logistics channel, and the circular detection model continues to detect the product processing equipment sensors until all product processing and transfer are completed;

[0017] When the product transfer equipment triggers the product processing equipment sensor, the sensor algorithm inside the cycle detection model is also triggered. At this time, the type of new product connected to the product transfer equipment is the input condition. The sensor algorithm in the cycle detection model judges based on the input conditions and the process association table, and assigns a new destination to the product transfer equipment.

[0018] Beneficial effects: The present invention effectively reduces the workload of simulation personnel and enables the simulation work to proceed in an orderly manner; at the same time, it provides an intelligent scheduling system applied to the simulation model. The system constructs a loop detection model with functions such as loop detection, on-demand calling, task switching according to product types, route planning, etc. through simulation software, which can ensure the smooth operation of the simulation model. It is simple and practical, can be applied to all similar models, and has high use value; and this simulation model can not only fit the actual situation of the factory, but also calculate the production capacity of the entire production line and discover the causes of blockages in the production line, providing a reasonable basis for the equipment procurement quantity, process flow optimization, buffer area capacity setting, and the number of product transfer equipment, thereby providing a guarantee for the optimization and upgrading of the actual production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a plan view of Example 1 in the preferred embodiment of the present invention.

[0020] Figure 2 This is a schematic diagram of the transfer process of Example 1 in the preferred embodiment of the present invention.

[0021] Figure 3 It is a plan view of Example 2 in the preferred embodiment of the present invention.

[0022] Figure 4 This is a schematic diagram of the transfer process of Example 2 in the preferred embodiment of the present invention.

[0023] Figure 5 It is a plan view of Example 3 in the preferred embodiment of the present invention.

[0024] Figure 6 This is a schematic diagram of the transfer process of Example 3 in the preferred embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below with reference to specific diagrams.

[0026] A factory logistics simulation method, the specific steps are as follows:

[0027] Step 1: Factory field investigation. The field investigation content includes factory information and product information statistics. Factory information includes the actual scale of the factory for logistics simulation (including factory floor area, factory building height, width, length) and actual layout, that is, the relative layout of each work area in the factory building, the relative position of each product processing equipment in its corresponding work area. If multiple factories are involved, the relative position between the factories should be clarified; product information statistics include the quantity and production method of each batch of products, the product transportation method and the number of product transportation equipment, the workers' work system and the operation status of each product processing equipment, etc., and are recorded in the factory field investigation form;

[0028] Step 2: Process flow sorting. The process flow is one of the main factors affecting the difficulty of factory logistics simulation. The sorting content includes all process flows of each type of product, the specific processing equipment involved in each process flow, the time spent on each process flow, etc. If the processing of the product is completed by multiple factories in collaboration, it should be clear which factory each process flow belongs to. Finally, the information is counted into a process flow table for subsequent viewing;

[0029] Step 3: On-site investigation of product processing equipment. The investigation of product processing equipment includes the location information and working information of each product processing equipment. The location information includes the specific location of each processing equipment and the specific location between processing equipment, etc. The working information of product processing equipment includes the failure rate of processing equipment, the safety protection method of each processing equipment, the loading and unloading method of products when entering the processing equipment for processing, the cache form of products to be processed and the cache form of completed processed products of each product processing equipment, etc. The product processing equipment is associated with the process flow table in step 2) to form a corresponding process association table;

[0030] Step 4: 3D model drawing. Using 3D modeling software, according to the factory field survey content in the factory field survey form in step 1), complete the actual outline modeling of the factory according to the actual size and import it into the simulation software. At the same time, complete the modeling of each type of product and import it into the simulation software;

[0031] Using 3D modeling software, complete the model drawing of each product processing equipment according to the actual size according to the product processing equipment survey content in step 3) and import it into the simulation software. Complete the model drawing of all product transfer equipment and import it into the simulation software;

[0032] Step 5: Simulation model establishment. According to the simulation model drawn and imported in step 4), combined with the factory field inspection table in step 1) and the process association table in step 3), the product processing equipment and position relationship are constructed in the simulation model, including placing each equipment in the corresponding work area and establishing safety protection devices, and establishing a parking area for product transfer equipment; then, according to the process flow in step 2), a logistics channel between product processing equipment and product processing equipment is established. If necessary, the product transfer equipment drives on the right side of the logistics channel to avoid congestion, and a logistics channel between factory buildings is built; a driving vehicle is built, etc.

[0033] Step 6: Writing logic and scheduling algorithms. After the simulation model is established, use the simulation language to write the various actions required for the simulation and the sensor algorithms in the cyclic detection model of the intelligent scheduling system, and at the same time complete the construction of the logistics channel of the intelligent scheduling system.

[0034] The processing time of aviation products is generally long. When the product transfer equipment transports the product from the previous processing equipment to the next processing equipment according to the process flow, the product transfer equipment does not need to wait nearby, but can drive to the processing equipment that has completed the processing task to take the product away and transport it to the next process flow. The benefit of this is that it not only reduces the number of product transfer equipment, reduces the investment and subsequent maintenance costs for actual production, but also avoids the problem of reducing the effective working area in the factory due to too many product transfers. Therefore, the intelligent scheduling system used in factory logistics simulation should include two functions:

[0035] 1. On-demand dispatching. When there is no arrangement, the product transfer equipment is parked in the parking area. When the processing equipment completes product processing, the intelligent dispatching system sends a dispatching request to the parking area, and the parking area dispatches idle product transfer equipment to transfer the product. When all transfer tasks are completed, the product transfer equipment returns to the parking area to wait for new call requests.

[0036] 2. Task switching: After the product transfer equipment transports the product to the designated processing equipment, the intelligent scheduling system needs to reallocate tasks to the product transfer equipment to enable it to go to other processing equipment to pick up the product, or return to the parking area to wait for a call request;

[0037] It includes a circulation detection model, a circular logistics channel, a product processing equipment sensor and a trolley, wherein the circulation detection model is provided with a sensor algorithm and a process association table, and a logistics channel connected end to end is established by using simulation software, a head-end sensor is provided at the head end of the logistics channel, a trolley is placed in the logistics channel, and the trolley can travel along the logistics channel, product processing equipment is arranged around the logistics channel, and a product processing equipment sensor for triggering the operation of the product transfer equipment is provided at each product processing equipment on the logistics channel, and the product processing equipment sensors are numbered to distinguish them; a body sensor for detecting the operating status of the product processing equipment is provided on the trolley, and whether to start driving is determined by detecting the status of the product processing equipment; when the product transfer equipment triggers the product processing equipment sensor, the circulation detection model judges according to the sensor algorithm and the process association table, and then mobilizes the product transfer equipment to realize product loading and unloading, product processing time, and directional transportation of products.

[0038] When the product processing equipment is not working or is working, the trolley is controlled by the body sensor to stop at the sensor at the head end of the logistics channel. When the product processing equipment is in the state of completing processing, the body sensor judgment condition is met and the trolley starts to move forward. During the forward movement, the product transfer equipment will trigger different product processing equipment sensors. After the loop detection model receives the triggered product processing equipment sensor signal, its internal sensor algorithm is also triggered, and then it starts to detect and determine whether there is idle product transfer equipment in the parking area. If so, the idle product transfer equipment is called and assigned a destination. When the processed product is connected to the transfer equipment, the product processing equipment returns to the non-working state and the trolley drives forward. The vehicle stops at the sensor at the head end of the logistics channel; if there is no idle product transfer equipment in the parking area, when the vehicle reaches the sensor at the head end of the logistics channel, the product processing equipment is still in the processing completion state, and the vehicle continues to move forward. The circular detection model continues to detect whether there is idle product transfer equipment in the parking area until the same product transfer equipment completes all its work and returns to the parking area to be detected and called again. The product processing equipment changes back to the non-working state, and the vehicle stops at the sensor at the head end of the logistics channel until the next time the product processing equipment changes to the completed working state again. The vehicle starts to move along the logistics channel, and the circular detection model continues to detect the product processing equipment sensors until all product processing and transfer are completed;

[0039] When the product transfer equipment triggers the product processing equipment sensor, the sensor algorithm inside the cycle detection model is also triggered at the same time. At this time, the type of new product connected to the product transfer equipment is the input condition. The sensor algorithm in the cycle detection model judges based on the input conditions and the process association table, and assigns a new destination to the product transfer equipment.

[0040] The following examples illustrate: Example

[0041] like Figure 1 As shown in the real logistics simulation model of a factory, the transfer process is as follows Figure 2 As shown, the simulation model includes parking areas (1, 3), buffer areas 6, 7 product processing equipment (2, 4, 5, 7-10), a circulation detection model 11, a circular logistics channel 12 and a trolley 13. The plant is modeled according to the actual size, and the positions of various product processing equipment are placed according to the actual positions. The intelligent scheduling system is responsible for the transportation of products and has the functions of on-demand calling and task switching.

[0042] According to the process flow of the product, the product first arrives at product processing equipment 2 and product processing equipment 4. After the processing is completed, the cyclic detection model of the intelligent scheduling system will respectively detect whether there is a product transfer device in parking area 1. If there is, it will be called. If not, it will detect whether there is a product transfer device that can be called in parking area 2. The cyclic detection model sends a request signal, and then the parking area dispatches an idle product transfer device to transfer the product of product processing equipment 2 to product processing equipment 5.

[0043] Since the processing time of product processing equipment 5 is longer than that of product processing equipment 2, the cycle detection model 11 uses the sensor to compile an algorithm and a process association table to determine the processing status of product processing equipment 5. If product processing equipment 5 is processing, the product is transferred to buffer area 6 for storage, otherwise it is transferred to product processing equipment 5 for processing;

[0044] There are two types of products processed by the product processing equipment 4: Type 1 products are transferred by the product transfer equipment to the product processing equipment 8 for further processing after the product processing equipment 4 completes processing; Type 2 products are transferred by the product transfer equipment to the product processing equipment 5 after the product processing equipment 4 completes processing. If the product processing equipment 5 is working at this time, the product transfer equipment will send the products to the buffer area 6 for temporary storage; after the product processing equipment 5 completes processing, the products in the buffer area 6 will be transferred to the product processing equipment 5 for processing;

[0045] The products processed by product processing equipment 5 will be transferred to product processing equipment 9 for further processing. When product processing equipment 9 completes processing, the products will be transferred to product processing equipment 10 by the product transfer equipment. When product processing equipment 10 completes processing, the products will be transferred to product processing equipment 7 by the product transfer equipment. When product processing equipment 7 completes processing, the products will be transferred to other processes by the product transfer equipment.

[0046] When the product transfer equipment is connected to the product processing equipment, the corresponding product processing equipment sensor is triggered, and the loop detection model 11 assigns the product transfer equipment a new destination. For example, after the product processing equipment 4 completes processing, the loop detection model 11 sends the product transfer equipment to connect. After the connection is successful, the product processing equipment sensor is triggered when it continues to move forward. The sensor algorithm in the loop detection model 11 determines whether the product type is type 1 or type 2 based on the triggering input conditions and the process association table. If it is type 1, the new destination of the product transfer equipment is the product processing equipment 8; if it is type 2, the new destination of the product transfer equipment is the product processing equipment 5. When the product transfer equipment completes the transfer task, the product transfer equipment will return to the parking area and wait for the next call request input. Example

[0047] like Figure 3 As shown in the figure, it is a real logistics simulation model of a factory. The transfer process is as follows Figure 4 As shown:

[0048] The simulation model includes 4 product processing equipment (s1~s4), logistics channel s5, circulation detection model s6, parking area s7 and product transfer equipment. The process flow is simple. According to the process flow: the product is transported to the product processing equipment s1 for processing. After the processing is completed, the trolley moves along the logistics channel s5. During the process of moving forward, the sensor is triggered. The circulation detection model s6 sends the idle product transfer equipment in the parking area s7 to the product processing equipment s1. After successful connection, the product processing equipment s1 becomes non-working state, and the trolley stops at the sensor at the head end of the logistics channel s5.

[0049] Different from Example 1, Example 2 has a simple process flow, so the logistics channel of the simulation model is one-way, and there is no need to switch the task of the product transfer equipment through sensors; when the product transfer equipment completes the transfer work of the entire process flow, it returns to the parking area s7, waits for the call request input from the product processing equipment s1, and repeats the above process. Example

[0050] like Figure 5 As shown in the figure, it is a real logistics simulation model of a factory. The transfer process is as follows Figure 6 As shown, the simulation model includes parking area p1, 5 product processing equipment (p2~p6), circulation detection model p7, logistics channel p8, trolley p9 and product transfer equipment. According to the process flow of the product, the product is initially transferred to product processing equipment p2 and product processing equipment p3 for processing. After the processing is completed, the idle product transfer equipment in parking area p1 is dispatched by circulation detection model p7 to transport the product of product processing equipment p2 to product processing equipment p5.

[0051] There are two types of products processed by product processing equipment p3. After processing, all products are transferred to product processing equipment p4 for processing. After being processed by product p4, if the product transfer equipment is connected to type 1 products, the product transfer equipment will go to product processing equipment p6. If the product transfer equipment is connected to type p2 products, the product transfer equipment will go to product processing equipment p5. All types of products must eventually be processed by product processing equipment p6. After processing, they will be transferred to subsequent processes by product transfer equipment.

[0052] After completing each transfer task, the product transfer equipment will return to the parking area and wait for the intelligent scheduling system to call it on demand. During the simulation process, it was found that although the process flow of Example 3 is relatively complicated, it is not necessary to set up a centralized cache area at a designated location, and it can be placed in the cache area next to each processing equipment.

[0053] In the above-mentioned embodiments 1 to 3, in order to distinguish and identify them easily, different numbers are given to the circulation detection model, logistics channel and trolley, which are all components of the intelligent scheduling system.

Claims

1. Intelligent scheduling system applied to factory logistics simulation, characterized by: It includes a circulation detection model, a circular logistics channel, a product processing equipment sensor and a trolley, wherein the circulation detection model is provided with a sensor algorithm and a process association table, and a logistics channel connected end to end is established by using simulation software, a head-end sensor is provided at the head end of the logistics channel, a trolley is placed in the logistics channel, and the trolley can travel along the logistics channel, product processing equipment is provided around the logistics channel, and a product processing equipment sensor for triggering the operation of the product transfer equipment is provided at each product processing equipment on the logistics channel; a body sensor for detecting the operating status of the product processing equipment is provided on the trolley, and when the product transfer equipment triggers the product processing equipment sensor, the circulation detection model judges according to the sensor algorithm and the process association table, and then mobilizes the product transfer equipment to realize the directional transportation of the factory logistics simulation; When the product processing equipment is not working or is working, the trolley is controlled by the body sensor to stop at the sensor at the head end of the logistics channel. When the product processing equipment is in the state of completing processing, the body sensor judgment condition is met, and the trolley starts to move forward. During the forward movement, the product transfer equipment will trigger different product processing equipment sensors. After the loop detection model receives the triggered product processing equipment sensor signal, its internal sensor algorithm is also triggered, and then it begins to detect and determine whether there is idle product transfer equipment in the parking area. If so, the idle product transfer equipment is called and assigned a destination. When the processed product is connected to the transfer equipment, the product processing equipment returns to the non-working state and the trolley drives forward. The vehicle stops at the sensor at the head end of the logistics channel; if there is no idle product transfer equipment in the parking area, when the vehicle reaches the sensor at the head end of the logistics channel, the product processing equipment is still in the processing completion state, and the vehicle continues to move forward. The circular detection model continues to detect whether there is idle product transfer equipment in the parking area until the same product transfer equipment completes all its work and returns to the parking area to be detected and called again. The product processing equipment changes back to the non-working state, and the vehicle stops at the sensor at the head end of the logistics channel until the next time the product processing equipment changes to the completed working state again. The vehicle starts to move along the logistics channel, and the circular detection model continues to detect the product processing equipment sensors until all product processing and transfer are completed; When the product transfer equipment triggers the product processing equipment sensor, the sensor algorithm inside the cycle detection model is also triggered at the same time. At this time, the type of new product connected to the product transfer equipment is the input condition. The sensor algorithm in the cycle detection model judges based on the input conditions and the process association table, and assigns a new destination to the product transfer equipment.

2. The intelligent scheduling system for factory logistics simulation according to claim 1 is characterized in that: Each product processing equipment sensor is provided with a number.

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