Production monitoring system and electronic equipment group

Abstract

The invention discloses a production monitoring system and an electronic equipment group. The system comprises a data acquisition unit which is suitable for acquiring a production workshop, related information of each physical entity in the production workshop and related information of materials; the physical entity comprises a material carrying device and a machine table; the display unit is suitable for constructing a three-dimensional model related to the production workshop and each physical entity in the production workshop, binding and driving the information acquired by the data acquisition unit and the corresponding three-dimensional model, obtaining a three-dimensional image related to the production workshop and each physical entity in the production workshop, and displaying the three-dimensional image in real time; and the early warning unit is suitable for predicting at least one of the material shortage condition of the machine and the task execution condition of the AGV based on the information acquired by the data acquisition unit and giving an alarm before an abnormality occurs. By adopting the scheme, the full view of production can be accurately grasped in real time, and intelligent early warning can be carried out on potential production bottlenecks, so that the production efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of semiconductor technology, and more specifically to a production monitoring system and electronic equipment assembly. Background Technology

[0002] Against the backdrop of smart manufacturing and Industry 4.0, the level of automation and informatization in production workshops is increasing day by day. Automated guided vehicles (AGVs) or autonomous mobile robots (AMRs), as core equipment for material handling, have been widely used in production lines, warehouses and other scenarios to achieve automated material delivery.

[0003] To manage and monitor these automated devices and production status, multiple systems are currently in place, such as Manufacturing Execution System (MES), Warehouse Management System (WMS), and AGV scheduling system.

[0004] However, these systems typically exist as standalone software, making it difficult for managers to grasp the overall production situation in real time and accurately. Furthermore, these systems can only exchange information through limited data interfaces, lacking the ability to fuse and analyze multi-dimensional data, and thus failing to provide intelligent early warnings of potential production bottlenecks. Ultimately, this impacts production efficiency. Summary of the Invention

[0005] The problem this invention aims to solve is: how to grasp the overall picture of production in real time and accurately, and to provide intelligent early warning of potential production bottlenecks in order to improve production efficiency.

[0006] To address the above problems, embodiments of the present invention provide a production monitoring system, the system comprising: The data acquisition unit is adapted to acquire relevant information about the production workshop, various physical entities within the production workshop, and material-related information; the physical entities include: material handling devices and machines; The display unit is adapted to construct a three-dimensional model of the production workshop and the physical entities within the production workshop, and to bind and drive the information acquired by the data acquisition unit with the corresponding three-dimensional model to obtain a three-dimensional image of the production workshop and the physical entities within the production workshop and display it in real time. The early warning unit is adapted to predict at least one of the following based on the information acquired by the data acquisition unit: material shortage of the machine and task execution status of the AGV, and to issue an alarm before the abnormality occurs.

[0007] In one possible embodiment, the warning unit includes: The machine material shortage alarm module is adapted to combine the relevant information of the material handling device and the relevant information of the material to obtain the expected material shortage time and the material receiving time of each machine, and output the first alarm information when the expected material shortage time of the machine is earlier than the material receiving time.

[0008] In one possible embodiment, the warning unit includes: The resource conflict early warning module is suitable for combining the relevant information of the machine and the relevant information of the material handling device to predict whether there is a competition conflict between multiple tasks on the machine or handling resources within a preset time period, and outputting a second alarm message when a competition conflict exists.

[0009] In one possible embodiment, the warning unit further includes: The traffic congestion early warning module is adapted to obtain information on potential congestion points in the production workshop based on relevant information of the material handling device, and output it as a third alarm message.

[0010] In one possible embodiment, the display unit includes: A construction module is suitable for constructing a three-dimensional model of the production workshop and the various physical entities within the production workshop; The mapping module is adapted to bind and drive the information acquired by the data acquisition unit with the corresponding three-dimensional model; The display module is adapted to display three-dimensional images of the production workshop and its various physical entities in real time.

[0011] In one possible embodiment, the system further includes: a statistics unit, adapted to perform data statistics operations based on the information acquired by the data acquisition unit, to obtain at least one of material flow status data, work-in-process statistics data, machine status statistics data, and material handling device task and mileage statistics data.

[0012] In one possible embodiment, the data acquisition unit is also adapted to acquire a list of personnel and personnel task data; the statistics unit is also used to perform statistics on personnel workload.

[0013] In one possible embodiment, the display module is also adapted to display at least one statistical data output by the statistical unit.

[0014] In one possible embodiment, the system further includes: The storage unit is adapted to store the information acquired by the data acquisition unit and the statistical data output by the statistical unit.

[0015] In one possible embodiment, the system further includes: The view management unit is adapted to define each production area of ​​the production workshop, bind each production area to the corresponding physical entity, and, upon receiving a view switching instruction, determine the production area corresponding to the view switching instruction and control the display unit to display the production area corresponding to the view switching instruction.

[0016] In one possible embodiment, the information related to the material handling device includes: attribute data, status data, task data, site data, and storage location data of the material handling device.

[0017] In one possible embodiment, the material-related information includes: current material balance data and material consumption rate data for each machine.

[0018] In one possible embodiment, the machine-related information includes: machine production status data and machine material status data.

[0019] This invention also provides an electronic device group for implementing the production monitoring system of any of the above claims.

[0020] Compared with the prior art, the technical solution of the embodiments of the present invention has the following advantages: By applying the solution of this invention, a data acquisition unit obtains relevant information about the production workshop and its various physical entities, as well as material-related information. A display unit then constructs a three-dimensional model of the production workshop and its physical entities, binding and driving the acquired information with the corresponding three-dimensional model. This results in a real-time display of a three-dimensional image of the production workshop and its physical entities, providing a panoramic and intuitive mapping of the physical world on a single display interface. This allows managers to quickly and intuitively grasp the complex dynamic relationships between materials, equipment, and tasks, facilitating timely production decisions and improving production efficiency. Furthermore, the early warning unit can predict at least one of the following based on the acquired information: material shortages at machines and AGV task execution status. An alarm is issued before any anomaly occurs. This allows for the fusion and analysis of multi-dimensional data, enabling managers to identify potential bottlenecks before physical problems actually occur, shifting from "passive firefighting" to "proactive intervention," thereby further improving production efficiency. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the structure of a production monitoring system according to an embodiment of the present invention; Figures 2 to 4 These are schematic diagrams of different display interfaces in embodiments of the present invention; Figure 5 This is a schematic diagram of another production monitoring system in an embodiment of the present invention; Figure 6 This is a schematic diagram of another display interface in an embodiment of the present invention; Figure 7 This is a schematic diagram of the architecture of the electronic device group in an embodiment of the present invention. Detailed Implementation

[0022] To manage and monitor the automated equipment and production status in the production workshop, multiple systems are currently in place, such as a Manufacturing Execution System (MES), a Warehouse Management System (WMS), an AGV scheduling system, and a machine management system. The MES manages production orders, tracks work-in-process (WIP), and records working hours and equipment status. The WMS manages warehouse inventory, storage locations, and inbound / outbound operations. The AGV scheduling system assigns transportation tasks to multiple AGVs, plans routes, and performs basic traffic management. The machine management system monitors the status of the machines.

[0023] These systems operate independently, requiring managers to access individual system servers to retrieve relevant information for decision-making. For example, they might access the MES server for material quantity information, the WMS server for charging location information, and the AGV server for AGV locations and task lists. Furthermore, the information provided by these servers is often presented as scattered two-dimensional charts or lists, lacking a comprehensive and intuitive mapping of the physical world. For instance, accessing the AGV server might show that a particular AGV is performing a task, but it doesn't provide a clear view of its precise real-time location within the workshop, its path, or potential interactions with other AGVs. This makes it difficult for managers to quickly and intuitively grasp the complex dynamic relationships between materials, equipment, tasks, and personnel on a single interface, hindering their ability to accurately and in real-time understand the overall production situation and impacting production efficiency.

[0024] Furthermore, these systems can only exchange information in a limited way through data interfaces, lacking the ability to fuse and analyze multi-dimensional data. As a result, the monitoring mode of these systems is mostly "event-driven" and passive, making it difficult to provide intelligent early warning of potential production bottlenecks. For example, the AGV server only generates an alarm when the AGV reports a task failure, and the machine management system server only generates an alarm when the machine stops due to lack of materials. By this time, production interruption has already occurred, losses have already been incurred, and production efficiency has been further affected.

[0025] To address this problem, this invention provides a production monitoring system. This system allows the display unit to construct a 3D model of the production workshop and its various physical entities, generating 3D images for real-time display. This enables managers to quickly and intuitively grasp the complex dynamic relationships between materials, equipment, and tasks, facilitating timely production decisions. Furthermore, the early warning unit can integrate and analyze multi-dimensional data, allowing managers to anticipate physical problems before they actually occur, thereby further improving production efficiency.

[0026] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0027] Reference Figure 1 This invention provides a production monitoring system 10, which may include: a data acquisition unit 11, a display unit 12, and an early warning unit 13. Wherein: The data acquisition unit 11 is adapted to acquire relevant information about the production workshop, each physical entity within the production workshop, and material-related information; the physical entities include: material handling devices and machines; The display unit 12 is adapted to construct a three-dimensional model of the production workshop and each physical entity within the production workshop, and to bind and drive the information acquired by the data acquisition unit 11 with the corresponding three-dimensional model to obtain a three-dimensional image of the production workshop and each physical entity within the production workshop and display it in real time. The early warning unit 13 is adapted to predict at least one of the machine material shortage and AGV task execution status based on the information acquired by the data acquisition unit 11 and issue an alarm before the abnormality occurs.

[0028] Because the early warning unit 13 can integrate and analyze various information from the data acquisition unit 11, it can predict at least one of the following: machine material shortage and AGV task execution status, and issue an alarm before the anomaly occurs. This allows for early warning before anomalies occur, transforming the management model from "post-event firefighting" to "pre-event prevention," significantly reducing or even avoiding production interruptions caused by anomalies. Experiments have shown that using the solution of this invention can reduce production interruption time by more than 30%.

[0029] In a specific implementation, the data acquisition unit 11 may include a first communication module. This first communication module can communicate with the AGV server via a socket communication protocol, enabling the AGV server to report relevant information about the material handling device to the data acquisition unit 11 at a set frequency (e.g., once per second). The material handling device can be an AGV or an AMR, depending on the actual application. The relevant information about the material handling device may include: attribute data, status data, task data, site data, and storage location data.

[0030] Specifically, the attribute data of the material handling device refers to its identification (ID) data, coordinate data, speed data, power data, mileage data, and time data (including response time data, transportation time data, and safety buffer time data). The status data of the material handling device refers to whether it is currently in an occupied state (performing a task), an idle state, a charging state, or an abnormal state (such as a malfunction). The task data of the material handling device refers to the identification data of the currently executing task, the identification and quantity data of completed tasks, and the identification and quantity data of tasks to be executed. The station data of the material handling device refers to the identification data of the material handling device at each station for each task, including the identification data of the starting station, the terminal station, and each intermediate station. The storage location data of the material handling device refers to the identification data of the charging storage location corresponding to the material handling device.

[0031] The data acquisition unit 11 may further include a second communication module. This second communication module can communicate with the programmable logic controller (PLC) of the machine management system via the Open Platform Communications Unified Architecture (OPC UA) protocol, thereby reading machine-related information and the current material tray identification data (ID) from the PLC of the machine management system in real time. The machine-related information may include: machine attribute data, machine production status data, and machine material status data. Machine attribute data includes machine identification data, temperature data, station classification data, current process formula, and process parameter data. Machine production status data indicates whether the machine is in a production or non-production state. Machine material status data indicates whether the machine is in a ready-to-feed, manually called-to-load, manually called-to-unload, or unloading / unloading failure state.

[0032] The data acquisition unit 11 may further include a third communication module. This third communication module can be implemented using a RESTful API (Representative State Transition Application Programming Interface). Through this module, it can interface with the WMS and MES systems, thereby obtaining material-related information from them. This material-related information may include current material balance data and material consumption rate data for each machine. Specifically, it can obtain material-related information by periodically retrieving (e.g., every 30 seconds) production work orders, bills of materials, and inventory information from the WMS and MES systems.

[0033] In one embodiment of the present invention, reference is made to... Figure 1The display unit 12 may include: a construction module 121, a mapping module 122, and a display module 123. Wherein: The construction module 121 is adapted to construct a three-dimensional model of the production workshop and the physical entities within the production workshop; The mapping module 122 is adapted to bind and drive the information acquired by the data acquisition unit 11 with the corresponding three-dimensional model; The display module 123 is adapted to display three-dimensional images of the production workshop and various physical entities within the production workshop in real time.

[0034] Specifically, the construction module 121 can use Unreal Engine technology to accurately construct three-dimensional models of various physical entities such as the production workshop, machines, material handling devices, aisles and shelves based on the CAD drawings of the production workshop. The model scale is 1:1.

[0035] After the data acquisition unit 11 acquires the relevant information of the production workshop, each physical entity within the production workshop, and the material-related information, the mapping module 122 can bind and drive each piece of information with the three-dimensional model of each physical entity. For example, the mapping module 122 binds the three-dimensional model of the AGV identified as "AGV-001" with the physical entity of the AGV identified as "AGV-001"; and binds the three-dimensional model of the machine identified as "Line1-Station3" with the physical entity of the machine with the equipment asset number "L1-S3" in the MES system.

[0036] The mapping module 122 binds the relevant information of a machine to its corresponding 3D model, and the relevant information of a material handling device to its corresponding 3D model. Thus, based on the real-time 3D scene data stream acquired by the data acquisition unit 11, the mapping module 122 can drive the 3D models of various physical entities within the production workshop to synchronize their actions and state changes. For example, when a material handling device moves to point A within the production workshop, the mapping module 122 can drive the 3D model corresponding to that material handling device to move to point A along the same path within the corresponding 3D model of the production workshop.

[0037] The display module 123 can provide a display screen and render and display the three-dimensional models of the production workshop and the physical entities within the production workshop on the display screen, thereby displaying three-dimensional images of the production workshop and the physical entities within the production workshop in real time.

[0038] In one embodiment, the display module 123 can not only display three-dimensional images of the production workshop and its various physical entities, but also summarize and display the information acquired by the data acquisition unit 11. For example, the display module 123 can detect the cursor position and, when the cursor points to a machine, display the machine's attribute data (such as...). Figure 2 As shown), when the cursor points to an AGV, the attribute data of that AGV is displayed (e.g., ...). Figure 3 (As shown).

[0039] Through the display unit 12, the real-time operating status of AGVs, machines, etc. in the production workshop can be displayed in a three-dimensional simulation and panoramic view. The real physical environment, equipment status and material flow are restored 1:1 in the virtual space, thus forming a full-element, dynamic "digital twin" in the virtual space. This allows managers to quickly and intuitively grasp the complex dynamic relationship between "materials-equipment-tasks", which is conducive to timely production decisions.

[0040] In specific implementation, the early warning unit 13 can integrate and analyze various information acquired by the data acquisition unit 11 to predict the operating status of each physical entity in the production workshop, thereby changing the management mode from "post-event firefighting" to "pre-event prevention", significantly reducing or even avoiding production interruptions caused by abnormalities.

[0041] In one embodiment, reference is made to Figure 1 The early warning unit 13 may include a machine material shortage alarm module 131. The machine material shortage alarm module 131 is adapted to combine the relevant information of the material handling device and the relevant information of the material to obtain the expected material shortage time and the material receiving time of each machine, and output a first alarm message when the expected material shortage time of the machine is earlier than the material receiving time.

[0042] Specifically, the early warning unit 13 can calculate the expected material shortage time of the machine by combining the current material balance, consumption rate, and AGV transportation time data. Then, by combining the AGV response time data, transportation time data, and safety buffer time data for transporting materials to the machine, it can calculate the material receiving time of the machine. Finally, it compares the expected material shortage time with the material receiving time. If the expected material shortage time is earlier than the material receiving time, it outputs a first alarm message, thereby actively triggering a material shortage alarm for the machine.

[0043] In another embodiment, the early warning unit 13 may further include a resource conflict early warning module 132. The resource conflict early warning module 132 is adapted to combine the relevant information of the machine and the relevant information of the material handling device to predict whether there is a competition conflict between multiple tasks and the machine or handling resources within a preset time period, and output a second alarm message when a competition conflict exists.

[0044] Specifically, the resource conflict early warning module 132 can combine production work orders and AGV task queues to predict the production execution status within a preset time period, determine whether there are competition conflicts between multiple tasks and key machines within the production space, and determine whether there are competition conflicts between multiple tasks and material handling resources. Competition conflict between multiple tasks and key machines refers to the same key machine being used to perform two tasks. Competition conflict between multiple tasks and material handling resources refers to the same material handling resource being used to perform two tasks. When a competition conflict exists, a second alarm message is output to actively trigger a resource conflict alarm.

[0045] In another embodiment, the early warning unit 13 may further include a traffic congestion early warning module 133. The traffic congestion early warning module 133 is adapted to obtain information on potential congestion points in the production workshop based on relevant information of the material handling device, and output it as a third alarm message.

[0046] Specifically, the traffic congestion early warning module 133 can perform micro-traffic flow simulation on each material handling device based on the production workshop map and the real-time status and operating paths of all material handling devices. This allows it to determine the density of material handling devices in key areas and the arrival volume of material handling devices in each channel within a preset time period, thereby identifying potential congestion points within the production workshop. The module then outputs this information as a third alarm message, thus achieving traffic congestion early warning.

[0047] It should be noted that, in specific implementation, the early warning unit 13 may include only one of the machine material shortage alarm module 131, resource conflict early warning module 132 and traffic congestion early warning module 133, or it may include two or more of them, without any restriction here.

[0048] By setting up this early warning unit 13, predictive warnings can be issued for production bottlenecks and abnormal events, enabling early intervention against potential AGV congestion, machine material shortages, and resource conflicts. This can significantly reduce or even avoid production line downtime caused by these issues, improving production continuity. Furthermore, by setting up this early warning unit 13, information silos between existing systems can be broken down. By combining information output from MES, WMS, and other systems for early warning, waiting and waste caused by information inconsistencies are reduced, promoting close collaboration among all production stages and improving overall production efficiency.

[0049] In practice, the early warning unit 13 can output alarm information in various ways, such as by using pop-up windows or voice messages to output the first, second, or third alarm information.

[0050] In one embodiment of the present invention, the warning unit 13 can also control the display module 123 to display alarm information on the display screen in a high-brightness manner. For example, refer to Figure 4 The early warning unit 13 can control the display module 123 to highlight the machines 41, 42, 43, 44, 45, and 46 that are short of materials on the display screen. The early warning unit 13 can also control the display module 123 to highlight machines or AGVs with resource conflicts or areas with traffic congestion on the display screen. This allows for a more intuitive understanding of the location or equipment at risk through the display screen, facilitating timely measures to mitigate the risk.

[0051] Reference Figure 5 In one embodiment of the present invention, in addition to the data acquisition unit 11, the display unit 12, and the early warning unit 13, the production monitoring system 10 may further include a statistics unit 14. The statistics unit 14 is adapted to perform data statistics operations based on the information acquired by the data acquisition unit 11 to obtain at least one of the following: flow status data, work-in-process statistics data, machine statistics data, and material handling device task and mileage statistics data.

[0052] Specifically, the statistics unit 14 can statistically analyze the task status of production and transportation materials based on material-related information to obtain material flow status data. The material flow status data may include the current total task quantity of materials, the task quantity of materials in transportation, the task quantity of materials that have been processed, or the amount of abnormal materials (such as dropped materials).

[0053] In some embodiments, refer to Figures 2 to 4 The display unit 13 can also display material flow status data, facilitating a quick understanding of the overall material flow situation and thus aiding production decision-making. The specific content of the displayed material flow status data can be set according to actual needs.

[0054] In some embodiments, the display unit 13 can also receive input, such as cursor selection, in the material flow status data display area, thereby displaying detailed material or task identification data of the current total task quantity of materials, the task quantity of materials in transportation, or the task quantity of materials already processed, facilitating the acquisition of detailed content of various material flow status data. The display unit 13 can also highlight abnormal material quantities to trigger an alarm, and display the corresponding material or task identification data when the cursor is selected, facilitating the identification of abnormal materials and their adjustment.

[0055] The statistics unit 14 can also collect work-in-process information from the material-related information to statistically analyze the status of work-in-process and obtain work-in-process statistics. For example, the status of work-in-process can be divided into two categories: returned work-in-process and unreturned work-in-process, and the specific quantity of each category of work-in-process can be displayed. Alarms can also be issued for materials that are overdue for return.

[0056] In some embodiments, refer to Figures 2 to 4The display unit 13 can also display work-in-process statistics. The specific content displayed in the work-in-process statistics can be set according to actual needs, making it easy to quickly understand the overall situation of work-in-process, thereby facilitating production decisions.

[0057] The statistics unit 14 can also perform statistical analysis on the production status of machines based on relevant machine information to obtain machine statistics data. This machine statistics data can include: machine material status statistics and machine production status statistics. Machine material status statistics provide an overview of the material status of each machine. For example, machine material status can be categorized as "preparing materials," "manually called for material loading," "manually called for material unloading," and "task failed," and the number of machines corresponding to each material status can be displayed. Machine production status statistics provide an overview of the production status of each machine. For example, all machines in the production workshop can be categorized into production machines and non-production machines, and the specific number of machines in each category can be displayed.

[0058] In some embodiments, refer to Figures 2 to 4 The display unit 13 can also display work-in-process statistics, thereby facilitating quick understanding of the overall status of work-in-process and aiding production decisions. The specific content displayed for work-in-process statistics can be set according to actual needs.

[0059] The statistics unit 14 can also perform statistical analysis on the task execution status of the material handling devices based on relevant information, obtaining task statistics and status statistics. Specifically, the task execution status can be categorized into several types, such as in progress, completed, and abnormal, and the specific number of tasks in each category can be displayed, thus obtaining task statistics. Different types of material handling devices can be classified separately to obtain the total number of each type of material handling device, the number of occupied material handling devices, the number of idle material handling devices, the number of charging material handling devices, and the number of abnormal material handling devices.

[0060] In some embodiments, refer to Figures 2 to 4 The display unit 13 can also display task statistics and status statistics of the material handling device, thereby intuitively displaying the task execution, status, and condition of the material handling device, facilitating managers to make quick and accurate production decisions. The specific display content of the material handling device tasks can be set according to actual needs.

[0061] The statistics unit 14 can also perform statistics on the operating mileage of each material handling device based on relevant information of the material handling device, and obtain the mileage statistics of the material handling device.

[0062] Accordingly, refer to Figures 2 to 4The display unit 13 can also display task statistics for the material handling device, thereby intuitively showing the trend of the material handling device's mileage. This allows managers to quickly understand the cumulative mileage of the material handling device, facilitating task allocation. The specific content displayed for the material handling device's mileage statistics can be set according to actual needs. Preferably, In one embodiment of the present invention, the data acquisition unit 11 can also acquire a personnel list and personnel task data. Correspondingly, the statistics unit 14 is also used to perform statistics on personnel workload.

[0063] Specifically, the data acquisition unit 11 can acquire a list of personnel (such as employees) and task data, including information such as the material delivery tasks performed by the personnel. Thus, the statistics unit 14 can be used to count the number of production tasks completed by each person.

[0064] Accordingly, refer to Figures 2 to 4 The display unit 13 can also display personnel statistics, thereby intuitively showing the number of production tasks completed by each employee to meet diverse needs.

[0065] In one embodiment of the present invention, the production monitoring system 10 may further include a storage unit 15. The storage unit 15 is adapted to store the information acquired by the data acquisition unit 11 and the statistical data output by the statistics unit 14.

[0066] Specifically, the storage unit 15 can use a MySQL 8.0 relational database to store data. Information collected in real time by the data acquisition unit 11 and statistical data output by the statistics unit 14 can both be stored in this database.

[0067] In some embodiments, the database may employ a master-slave backup mechanism. The display unit 13 can access the database through the middleware MYCAT. MYCAT can sense the database status through a heartbeat mechanism. When the master database encounters an anomaly, the display unit 13 can directly access the slave database through the middleware MYCAT, thereby flexibly switching between the master and slave databases.

[0068] In specific implementation, when the display unit 13 displays the information collected in real time by the data acquisition unit 11 and the statistical data output by the statistics unit 14, it can use interface charts (H5) and JavaScript. The display page can adopt a responsive layout, thereby adapting to screens of different sizes.

[0069] Existing monitoring systems typically have their views and logic tightly bound to specific workshop layouts. When production lines need to be adjusted, new production areas need to be added, or different monitoring views need to be switched for different customers or floors, complex secondary development is required. This results in long implementation cycles and high costs, making it difficult to support the rapid changes in enterprise production layouts and the needs of diversified development.

[0070] Therefore, in one embodiment of the present invention, referring to Figure 5 The production monitoring system 10 may further include a view management unit 16. The view management unit 16 is adapted to define each production area of ​​the production workshop, bind each production area to a corresponding physical entity, and, upon receiving a view switching instruction, determine the production area corresponding to the view switching instruction and control the display unit to display the production area corresponding to the view switching instruction.

[0071] Specifically, the view management unit 16 can integrate the identification information of each production area in the production workshop and bind each production area to its corresponding physical entity. The display screen of the display unit 13 or other human-machine interaction device can receive view switching instructions, which include indication information for different areas. The view management unit 16 can match the received view switching instructions with the production areas, thereby controlling the display unit 13 to display the corresponding 3D scene and data view.

[0072] For example, refer to Figures 2 to 4 as well as Figure 6 The entire production workshop comprises two floors, so it can be divided into two-story and three-story areas. Each floor can be further divided into multiple sub-areas; for example, a two-story area might include an FT sub-area and an FCS sub-area. Alternatively, each floor can be left undivided. Different codes can be assigned to different customers. Users can receive view switching commands on the display screen, which specify the customer code, a two-story area, or a three-story area identifier. Based on these identifiers, the corresponding 3D scene and data view can be displayed.

[0073] The display screen can also be equipped with an "Overview" button, allowing managers to get a "one-screen overview" of the real-time dynamics of the entire production workshop on the large screen in the human-computer interaction layer.

[0074] When adding a new production area, the production monitoring system 10 in this embodiment of the invention can construct a three-dimensional model of the new area in the display unit 13, bind the collected data with the physical entities in the new area, and then use the view management unit 16 as a data interface to bind the new production area and the corresponding physical entities, so as to achieve rapid expansion of the system without reconstructing the main system architecture.

[0075] By setting up the view management unit 16, the production monitoring system 10 can flexibly configure and switch monitoring views according to dimensions such as region, floor, and customer. When a new production area is added, the 3D model and data interface of the new area can be quickly imported through this service, realizing smooth system expansion.

[0076] This invention also provides an electronic device group for implementing the production monitoring system 10 described above.

[0077] Figure 7 This is a schematic diagram of the architecture of an electronic device assembly according to an embodiment of the present invention. (Refer to...) Figure 7 This electronic device group can be implemented using either a C / S (Client / Server) or B / S (Browser / Server) architecture. Specifically: The electronic device group can include four parts: a hardware layer, a data layer, an interface layer, and an application layer. The hardware layer can utilize a server with a CPU i7-14700KF / 32GB RAM / 1TB SSD + 1TB HDD storage / RTX4080 16G graphics card or higher, deploying building modules and mapping modules. The data layer can deploy various communication modules and storage units within the data acquisition unit to acquire relevant data, such as AGV-related information and machine-related information. The interface layer can use the JavaASPRINGBOOT framework to implement API interface functions. This interface conforms to the RESTful specification and can interact with the application layer to provide data support for the page. Real-time data uses the WEBSOCKET communication mechanism, and data is queried and stored by operating the database. The application layer can update the 3D scene data stream in real time and render and display it on the screen using a 3D visualization rendering model. The statistical data output by the statistics unit 14 can also be generated into data reports by the application layer using interface charts (H5) and simultaneously refreshed.

[0078] The aforementioned hardware layer, data layer, interface layer, and application layer can be implemented using different electronic devices, or some layers can be integrated on the same electronic device; no restrictions are imposed here.

[0079] The production monitoring system 10 in this embodiment of the invention provides managers with a unified and intuitive control and monitoring interface, greatly reducing the complexity of operating multiple systems and training costs. It solves the core pain points of existing technologies, such as "invisible, unmanageable, and unscalable," forming a closed-loop system of "perception-mapping-analysis-early warning-display." Furthermore, it brings significant multi-dimensional and quantifiable improvements in production efficiency, quality, cost control, and sustainable development, achieving panoramic visibility, manageable anomalies, and flexible scalability in production monitoring.

[0080] Regarding the modules / units included in the various devices and products described in the above embodiments, they can be software modules / units, hardware modules / units, or a combination of both. For example, for various devices and products applied to or integrated into a chip, all of their modules / units can be implemented using hardware methods such as circuits, or at least some modules / units can be implemented using software programs that run on a processor integrated within the chip, while the remaining (if any) modules / units can be implemented using hardware methods such as circuits; for various devices and products applied to or integrated into a chip module, all of their modules / units can be implemented using hardware methods such as circuits, and different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or different components of the chip module, or at least some modules / units can be implemented using hardware methods such as circuits. The components can be implemented using software programs that run on the processor integrated within the chip module. The remaining (if any) modules / units can be implemented using hardware methods such as circuits. For various devices and products applied to or integrated into the terminal, each of its components / units can be implemented using hardware methods such as circuits. Different modules / units can be located in the same component (e.g., chip, circuit module, etc.) or in different components within the terminal. Alternatively, at least some modules / units can be implemented using software programs that run on the processor integrated within the terminal, while the remaining (if any) modules / units can be implemented using hardware methods such as circuits.

[0081] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.

Claims

1. A production monitoring system, characterized in that, include: The data acquisition unit is adapted to acquire relevant information about the production workshop, each physical entity within the production workshop, and material-related information. The physical entities include: material handling devices and machines; The display unit is adapted to construct a three-dimensional model of the production workshop and the physical entities within the production workshop, and to bind and drive the information acquired by the data acquisition unit with the corresponding three-dimensional model to obtain a three-dimensional image of the production workshop and the physical entities within the production workshop and display it in real time. The early warning unit is adapted to predict at least one of the following based on the information acquired by the data acquisition unit: material shortage of the machine and task execution status of the AGV, and to issue an alarm before the abnormality occurs.

2. The production monitoring system as described in claim 1, characterized in that, The early warning unit includes: The machine material shortage alarm module is adapted to combine the relevant information of the material handling device and the relevant information of the material to obtain the expected material shortage time and the material receiving time of each machine, and output the first alarm information when the expected material shortage time of the machine is earlier than the material receiving time.

3. The production monitoring system as described in claim 1, characterized in that, The early warning unit includes: The resource conflict early warning module is suitable for combining the relevant information of the machine and the relevant information of the material handling device to predict whether there is a competition conflict between multiple tasks on the machine or handling resources within a preset time period, and outputting a second alarm message when a competition conflict exists.

4. The production monitoring system as described in claim 1, characterized in that, The early warning unit further includes: The traffic congestion early warning module is adapted to obtain information on potential congestion points in the production workshop based on relevant information of the material handling device, and output it as a third alarm message.

5. The production monitoring system as described in any one of claims 2 to 4, characterized in that, The display unit includes: A construction module is suitable for constructing a three-dimensional model of the production workshop and the various physical entities within the production workshop; The mapping module is adapted to bind and drive the information acquired by the data acquisition unit with the corresponding three-dimensional model; The display module is adapted to display three-dimensional images of the production workshop and its various physical entities in real time.

6. The production monitoring system as described in claim 5, characterized in that, Also includes: The statistics unit is adapted to perform data statistics operations based on the information acquired by the data acquisition unit, and obtain at least one of the following: material flow status data, work-in-process statistics data, machine status statistics data, and material handling device task and mileage statistics data.

7. The production monitoring system as described in claim 6, characterized in that, The data acquisition unit is also adapted to acquire personnel lists and personnel task data; the statistics unit is also used to calculate personnel workload.

8. The production monitoring system as described in claim 7, characterized in that, The display module is also adapted to display at least one statistical data output by the statistical unit.

9. The production monitoring system as described in claim 6, characterized in that, Also includes: The storage unit is adapted to store the information acquired by the data acquisition unit and the statistical data output by the statistical unit.

10. The production monitoring system as described in claim 5, characterized in that, Also includes: The view management unit is adapted to define each production area of ​​the production workshop, bind each production area to the corresponding physical entity, and, upon receiving a view switching instruction, determine the production area corresponding to the view switching instruction and control the display unit to display the production area corresponding to the view switching instruction.

11. The production monitoring system as described in claim 1, characterized in that, The information related to the material handling device includes: attribute data, status data, task data, site data, and storage location data of the material handling device.

12. The production monitoring system as described in claim 1, characterized in that, The material-related information includes: current material balance data and material consumption rate data for each machine.

13. The production monitoring system as described in claim 1, characterized in that, The machine-related information includes: machine production status data and machine material status data.

14. An electronic device assembly, characterized in that, The electronic equipment group is used to implement the production monitoring system according to any one of claims 1 to 13.

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