Tin planting device digital twinborn internet-of-things fusion method based on linked list mapping

Abstract

Aiming at various tin planting devices in the production process of intelligent terminal electronic products, the invention provides a method for constructing a digital twinborn model of the tin planting device through a process flow description linked list and an internet of things information description linked list. According to the core idea of the invention core, a tin planting technological process and an internet-of-things information mapping chain table associated with the tin planting technological process are designed, the chain table is a descriptive and traceable model capable of forming time sequence association with the dynamic process of a solid production line tin planting device, and the descriptive performance of the model is suitable for constructing a twin model of any type of tin planting device; meanwhile, according to the time sequence of the technological process of the tin planting device, an internet-of-things interface mapping relation description model of the technological process description chain table and the internet-of-things information description chain table is established, and the model serves as an internet-of-things driving model to form a twin body of the tin planting device with a three-dimensional virtual animation model; and synchronous operation with the entity production line tin planting device is realized through a mapping synchronizer. The intelligent terminal electronic product production tin planting device twin system constructed through the method can be connected with a process control system of an entity production line tin planting device and an internet-of-things information detection system of the entity production line tin planting device for operation, and can also be independently operated off line after training; and analysis such as holographic state monitoring, operation optimization maintenance and the like is carried out through an internet-of-things information mapping model.

Description

Technical Field

[0001] The present invention belongs to the field of automated production of smart terminal electronic products, and specifically relates to a technical method for the integration of digital twins of electronic chip tinning devices. Background Art

[0002] Digital twin technology is playing an increasingly important role in the full-process processing of products and the full-state operation and maintenance of equipment in the field of industrial production. Especially in manufacturing systems with complex cross-scale, strongly correlated serial and parallel mixed processes, digital twin technology has demonstrated huge technical advantages in holographic monitoring of the manufacturing process, status analysis, real-time decision-making, environmental optimization, and intelligent maintenance.

[0003] Digital Twin is a new technology that uses physical models, smart sensors, Internet of Things technology, system historical data, etc. to complete digital mapping of physical equipment and its operation process in virtual space through multi-disciplinary, multi-physical quantity, multi-scale, and multi-environment process simulation.

[0004] In recent years, digital twin technology has played an increasingly important role in the full-process processing of products and the full-state operation and maintenance of equipment in the field of industrial production, and has demonstrated huge technical advantages in holographic monitoring of the manufacturing process, status analysis, real-time decision-making, environmental optimization, and intelligent maintenance.

[0005] The manufacturing process of smart terminal electronic products is characterized by cross-scale, strongly correlated serial-parallel mixed processes and massive multi-type structural data. The data flow and data logic relationship of the production system are highly complex. In the manufacturing process of high-end chip component electronic products, tinning is the most important key technical link in surface packaging. It often appears in various processes of electronic product production and is a strongly correlated and multi-entry process node in the mass production process chain of electronic products. Due to the extremely high reliability and precision required by the tinning process of electronic products, and the variety of tinning methods for different electronic products, it is extremely difficult to fully monitor and operate and maintain it throughout the production process.

[0006] In this regard, the present invention proposes a digital twin biological integration method of tin planting device based on linked list mapping for multi-production lines and re-entry electronic product production systems, which aims to solve the holographic monitoring and operation and maintenance problems of tin planting equipment in the production process of smart terminal electronic products. Summary of the invention

[0007] The technical problem to be solved by the present invention is that, for various tin-planting devices in the production process of smart terminal electronic products, a method is proposed to construct a digital twin model of the tin-planting device through a process flow description linked list and an Internet of Things information description linked list. The core idea is to design a linked list mapping the tin-planting process flow and its associated Internet of Things information. The linked list is a describable and traceable model that can form a time-series association with the dynamic process of the physical tin-planting device. The describable performance of the model is suitable for constructing a twin model of any type of tin-planting device.

[0008] The technical solution proposed in the present invention is: first, the process flow is extracted according to the working process of the physical tin planting device and a process flow description linked list is established; then, according to the data-driven requirement that the virtual model follows the synchronous movement of the physical model, an Internet of Things information description linked list is established; and then, according to the working timing of the tin planting device, a mapping model between the process flow description linked list and the Internet of Things information description linked list is established; finally, the association between the physical model and the virtual model is established through this mapping model. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Attached Figure 1 :A typical grid-down pressure tin planting device

[0010] Attached Figure 2 :Process flow description chain table and IoT information description chain diagram

[0011] Attached Figure 3 :Schematic diagram of the twin model of the tin-planting device composed of the IoT drive model and the virtual animation model

[0012] Attached Figure 4 :Synchronizer structure diagram of tin planting process flow mapping

[0013] Attached Figure 5 :Construction of the digital twin system of the virtual production line tin planting device

[0014] Implementation

[0015] In conjunction with the accompanying drawings, the “digital twin bio-integration method of tin planting device based on linked list mapping” proposed in the present invention is described in detail.

[0016] (1) Definition

[0017] The process of tinning is recorded as U1, U2, ..., U n

[0018] The motion parameters of the tin implantation process are recorded as T1, T2, ..., T m

[0019] The pressure parameters of the tin implantation process are recorded as P1, P2, ..., P j

[0020] The tin planting process description linked list is a data linked list associated with the timing

[0021] The information description list of Zhixin IoT is a non-time-sequential data list.

[0022] (2) Construction principles and methods

[0023] ① Attach Figure 1 The grid-down pressure-type tin-planting device shown is a typical example, and a virtual animation model of the tin-planting entity device is designed using a common 3D animation software tool, such as Solid Works, 3DS Max, etc.;

[0024] ② Construct a process flow description chain table that can describe the complete working cycle of the tin-planting physical device. The process description of the chain table has a sequential relationship. See the attached Figure 2 (Left);

[0025] ③ Construct an IoT information description list of motion parameters and process characteristic parameters that need to be paid attention to for holographic monitoring and state analysis of the tin-planting physical device, see the attached Figure 2 (right), the parameters described by the linked list can be detected and mapped in the virtual model. The IoT parameters selected in this example are time T, speed S, and pressure P;

[0026] ④ Establish the IoT interface mapping relationship between the process description list and the IoT information description list according to the process sequence, referred to as "IoT mapping", and describe it in the following form:

[0027] T(U2|T1;U 13 |T2)

[0028] S(U3|S1;U5|S3;U7|S4;U9|S5;U 11 |S2;U 12 |S6)(1)

[0029] P(U4|P1;U5|P2;U8|P3)

[0030] The above mapping relationships are arranged in chronological order according to the process subscripts.

[0031] ⑤ Using the IoT mapping description formula (1), construct an IoT mapping driver component and combine it with the tin-planting virtual animation model to form a tin-planting physical device twin, that is, a tin-planting device twin model, see the attached Figure 3 ;

[0032] ⑥Construct the tinning process mapping synchronizer, which consists of a process timing parser and an IoT information loading component. The process timing parser parses the process timing according to the process description list, and the IoT information loading component loads IoT information according to the process timing output by the parser. See the attached Figure 4;

[0033] ⑦ Taking the twin model of the tin-planting device as the synchronous matrix, a virtual process flow mapping model of the tin-planting twin system is constructed. This model can provide offline or online data information for holographic monitoring and status analysis of the twin simulation system;

[0034] ⑧ According to the twin model of the tin planting device, the IoT information mapping driver component, the mapping synchronizer, and the virtual process flow mapping model, a twin system of the tin planting device of the virtual production line is constructed. The twin system can be connected to the process control system and the IoT information detection system of the physical production line tin planting device, or it can be independently operated offline after training, and the holographic status monitoring, operation optimization and other analyses can be performed through the IoT information mapping driver component. See the attached Figure 5 .

Claims

1. Decompose and describe the process flow or movement mode in a working cycle of the tin-planting device or industrial equipment for producing electronic products, and establish a corresponding process flow description link list, which is associated with the timing of the process, see Figure 2.

2. Based on the above process flow description chain list, construct an IoT information description chain list of motion parameters and process characteristic parameters required for holographic monitoring and state analysis of the tin-planting physical device, see Figure 2.

3. Establish the IoT interface mapping relationship between the process flow description list and the IoT information description list according to the process flow timing, referred to as "IoT mapping", as shown in the following formula, where the mapping relationship is arranged in timing according to the process subscript.

4. According to formula (1), construct the IoT mapping drive component, and combine the component with the tin-planting virtual animation model into a tin-planting physical device twin, that is, a tin-planting device twin model, as shown in Figure 3.

5. Construct a tinning process mapping synchronizer, which consists of a process timing parser and an IoT information loading component, see Figure 4. The process timing parser parses the process timing according to the process description list, and the IoT information loading component synchronously loads the IoT information according to the process timing output by the parser.

6. Taking the twin model of the tin planting device as the synchronous mother, a virtual process flow mapping model of the tin planting twin system is constructed. This model can provide offline or online data information for holographic monitoring and status analysis of the twin simulation system.

7. Based on the twin model of the tin planting device, the IoT information mapping driving component, the mapping synchronizer, and the virtual process flow mapping model, a twin system of the tin planting device is constructed (see Figure 5). The system is connected with the process control system and the IoT information detection system of the physical production line tin planting device and runs synchronously or independently offline after training to achieve holographic status monitoring, operation optimization and other analyses of the tin planting process.

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