Manufacturing capacity reserve multi-source data acquisition system oriented to equipment production pressure fluctuation

Abstract

The utility model relates to the field of equipment production, in particular to a manufacturing capacity reserve multi-source data acquisition system oriented to equipment production pressure fluctuation. According to the technical scheme, the system comprises a low-orbit satellite Internet of Things, a satellite measurement and control feed link, a satellite AMF / SMF / UPF, a gNB base station, a satellite flash module, a wired transmission module, a sensor module, a multi-source information acquisition module, a signal processing module, an edge data storage module, a local data processing and analysis module, an equipment production cloud storage and cloud computing module and a user interface and monitoring system module. And the communication and cooperation module can meet the requirements of real-time state information acquisition, remote transmission and information storage of pressure fluctuation data between the production capacity and the demand.

Description

Technical Field

[0001] This utility model relates to the field of equipment manufacturing, specifically a multi-source data acquisition system for manufacturing capacity reserves in response to fluctuations in equipment production pressure. Background Technology

[0002] Equipment manufacturing, especially in industries such as aerospace, automotive, energy, and machinery manufacturing, typically requires high precision, high reliability, and large-scale production capabilities. These industries not only demand a balance between production capacity and demand but also require ensuring the efficient operation of every stage of the production process to avoid a disconnect between capacity and demand. Fluctuations in equipment production pressure arise under conditions of unstable demand or cyclical production changes. Influenced by various factors, demand fluctuations may not be reflected in production in a timely manner, leading to an imbalance between production capacity and demand. Many products in equipment manufacturing require extremely high manufacturing precision and quality control, meaning that production capacity must not only meet quantity requirements but also adhere to stringent quality standards. Once a capacity bottleneck occurs, it can affect the entire production cycle and lead to difficulties in quality control.

[0003] Fluctuations in equipment production pressure can trigger several problems: 1. Overcapacity, leading to resource waste, inventory backlog, and capital tie-up, increasing operating costs for enterprises. 2. Insufficient capacity, where demand exceeds existing production capacity, may cause production delays and untimely order delivery, impacting customer satisfaction and the company's market competitiveness. 3. Uneven production line load, where varying workloads on equipment can result in overloaded or idle production lines, affecting equipment efficiency and production rhythm.

[0004] Existing systems often rely on single protocols or localized data collection, making it difficult to integrate multi-source data. This results in low efficiency and poor real-time performance of cross-regional production line data integration, hindering dynamic responses to production fluctuations. With the advancement of Industry 4.0 and intelligent manufacturing, the equipment manufacturing industry is increasingly adopting technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and cloud computing to improve production efficiency, optimize resource allocation, and reduce production costs. The application of these technologies offers new solutions for addressing manufacturing capacity reserves amidst equipment production pressure fluctuations. To address this, it is crucial to overcome the information silos inherent in traditional equipment manufacturing, enabling real-time monitoring of production line operation status, raw material inventory, and work order execution progress. A production scheduling system based on real-time data analysis can then dynamically adjust production plans, optimize the utilization of production resources and equipment, and achieve precise matching between demand and production capacity. Therefore, to meet the goal of equipment manufacturing capacity reserves, real-time acquisition of multi-source data is necessary across multiple dimensions, including time, cost, quality, flexibility, and quantity. A multi-source data acquisition system for manufacturing capacity reserves amidst equipment production pressure fluctuations urgently needs development. Utility Model Content

[0005] The purpose of this invention is to provide a multi-source data acquisition system for manufacturing capacity reserves in response to fluctuations in equipment production pressure, which can solve the problems of real-time status information acquisition, remote transmission and information storage.

[0006] To achieve the above objectives, this utility model provides the following technical solutions: low-orbit satellite Internet of Things, satellite telemetry and control feeder link, satellite AMF / SMF / UPF, gNB base station, star flash module, wired transmission module, sensor module, multi-source information acquisition module, signal processing module, edge data storage module, local data processing and analysis module, equipment production cloud storage and cloud computing module, user interface and monitoring system module, and communication and collaboration module;

[0007] The sensor module, multi-source information acquisition module, signal processing module, edge data storage module, and local data processing and analysis module are connected through a star flash module and / or a wired transmission module to form a local production line data acquisition link.

[0008] The equipment production cloud storage and cloud computing module, user interface and monitoring system module, and communication and collaboration module are connected by a wired module, and then form a remote distributed production line data acquisition link through a low-orbit satellite Internet of Things, satellite telemetry and control power supply link, satellite AMF / SMF / UPF, gNB base station and local data processing and analysis module.

[0009] The preferred technical solution is that the sensor module is one or more of the following: temperature sensor, pressure sensor, vibration sensor, photoelectric sensor, displacement sensor, distance sensor, and environmental sensor.

[0010] The preferred technical solution is that the multi-source information acquisition module includes one or more of the following: analog signal interface, digital signal interface, pulse signal interface, bus interface, wireless interface, dedicated interface, and optical fiber interface.

[0011] The preferred technical solution is that the signal processing module includes a signal amplification module, a signal filtering module, and an analog-to-digital signal conversion module.

[0012] The preferred technical solution is that the interface of the wired transmission module is one or more of RS-485 communication interface, CAN bus, SPI, and I2C.

[0013] The preferred technical solution is that the edge data storage module is an SD card or an industrial-grade solid-state drive.

[0014] The preferred technical solution is that the equipment production cloud storage and cloud computing module is an industrial PC or an industrial server.

[0015] The preferred technical solution is that the user interface and monitoring system is a touch screen and / or an industrial display.

[0016] The preferred technical solution is that the communication and collaboration module includes an API interface for data exchange and integration with ERP systems, MES systems, and SCADA systems.

[0017] The preferred technical solution is that the edge data storage module is also connected to a signal alarm, which will trigger an alarm when there is an abnormal deviation between the collected information and the threshold information stored in the edge data storage module.

[0018] Compared with the prior art, the beneficial effects of this utility model are as follows:

[0019] 1. This utility model addresses the manufacturing capacity reserve needs under equipment production pressure fluctuations by constructing a multi-source data acquisition system suitable for cross-regional use. It can meet the real-time acquisition of pressure fluctuation data between production capacity and demand, and achieve precise control, analysis and adjustment of production efficiency, resource utilization, delivery accuracy and customer needs through multi-source data. While improving the speed and flexibility of demand response, it avoids resource waste or overproduction.

[0020] 2. Considering the heterogeneity of multi-source data, the system can collect data in different formats and with different protocols, ensuring high efficiency in data transmission, storage and processing, which helps to improve overall production efficiency and reduce the complexity of data processing.

[0021] 3. By collecting multi-source data from distributed production lines, it is possible to meet the requirements of production capacity prediction, bottleneck or risk point identification, production scheduling, reduction of equipment failure rate and downtime, and data integration and analysis for real-time and reliable data. Attached Figure Description

[0022] Figure 1 This is a connection diagram of the present invention.

[0023] The diagram shows: 1. Low-Earth Orbit Satellite Internet of Things (LEO); 2. Satellite Telemetry, Tracking and Control (TT&C) Power Supply Link; 3. Satellite AMF / SMF / UPF; 4. gNB Base Station; 5. Star Flash Module; 6. Wired Transmission Module; 7. Sensor Module; 8. Multi-Source Information Acquisition Module; 9. Signal Processing Module; 10. Edge Data Storage Module; 11. Local Data Processing and Analysis Module; 12. Equipment Production Cloud Storage and Cloud Computing Module; 13. User Interface and Monitoring System Module; 14. Communication and Collaboration Module. Detailed Implementation

[0024] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. Similar elements in different embodiments are referred to by related similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of the present application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to the present application are not shown or described in the specification. This is to avoid obscuring the core parts of the present application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0025] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0026] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0027] As attached Figure 1 As shown: A multi-source data acquisition system for manufacturing capacity reserves to address equipment production pressure fluctuations includes a low-orbit satellite IoT 1, a satellite telemetry and control feeder link 2, a satellite AMF / SMF / UPF 3, a gNB base station 4, a satellite strobe module 5, a wired transmission module 6, a sensor module 7, a multi-source information acquisition module 8, a signal processing module 9, an edge data storage module 10, a local data processing and analysis module 11, an equipment production cloud storage and cloud computing module 12, a user interface and monitoring system module 13, and a communication and collaboration module 14. The sensor module 7 and the multi-source information... The acquisition module 8, signal processing module 9, edge data storage module 10, and local data processing and analysis module 11 form a local production line data acquisition link through the star flash module 5 and / or wired transmission module 6. The equipment production cloud storage and cloud computing module 12, user interface and monitoring system module 13, and communication and collaboration module 14 are connected through wired modules, and then form a remote distributed production line data acquisition link through the low-orbit satellite Internet of Things 1, satellite telemetry and control power supply link 2, satellite AMF / SMF / UPF 3, gNB base station 4, and local data processing and analysis module 11.

[0028] Sensor module 7 is used to collect key data during the equipment manufacturing process. Depending on the data type, it collects data including: temperature sensor data for monitoring equipment and environmental temperature changes; pressure sensor data for measuring pressure fluctuations inside equipment or during production; vibration sensor data for detecting equipment operating status or early signs of mechanical failure; photoelectric sensor data for material flow detection and product quality monitoring; displacement sensor data for accurately monitoring equipment position; distance sensor data for workpiece positioning; and environmental sensor data for monitoring humidity and gas concentration. Sensor module 7 transmits data to the multi-channel acquisition interface of multi-source information acquisition module 8 via star flash module 5 and / or wired transmission module 6. Multi-source information acquisition module 8 can adapt to various data inputs and transmits the data to signal processing module 9 via star flash module 5 and / or wired transmission module 6. Signal processing module 9 performs analog-to-digital conversion on the acquired analog signals, converting them into digital data. The signal is then filtered and amplified to ensure the accuracy and clarity of the collected data and to avoid interference affecting data quality. The signal processing module 9 transmits the data to the edge data storage module 10 through the star flash module 5 and / or the wired transmission module 6. The edge data storage module 10 has local processing and storage functions. It can perform preliminary processing on the data collected on site, including data filtering, aggregation, anomaly detection, and fault prediction. Data that meets the processing permissions of the local production line is stored locally to reduce data transmission volume and improve real-time performance. Data used for production capacity assessment and production scheduling optimization is transmitted to the local data processing and analysis module 11 through the star flash module 5 and / or the wired transmission module 6. The edge data storage module 10 reads the data and pushes it to the local data processing and analysis module 11 for preprocessing, including anomaly detection and data aggregation. After the data processing is completed, the results can be returned to the edge data storage module 10 or sent directly to the user interface and monitoring system module 13.

[0029] The user interface and monitoring module 13 provides functions such as data trend analysis, alarm management, and historical data query through a visual interface, helping operators to grasp the production situation in real time. The equipment production cloud storage and cloud computing module 12, based on the real-time production situation, drives the geographically distributed local data processing and analysis module 11 and communication and collaboration module 14 through the low-orbit satellite IoT 1, satellite telemetry and control feeder link 2, satellite AMF / SMF / UPF 3, and gNB base station 4 to collect the data required for predicting and optimizing production capacity fluctuations during the production process. This includes, but is not limited to, predicting equipment failures and production capacity fluctuation data, which is used to support the equipment production cloud storage and cloud computing module 12 in performing complex production capacity assessment and production scheduling optimization data analysis and modeling, and supports the application of technologies such as in-depth analysis of production data, model training, and machine learning.

[0030] In the description of this application, it should be understood that the orientation or positional relationship indicated in the terminology is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing this application and simplifying the description, and is not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the scope of protection of this application.

[0031] In the description of this application, it should also be noted that, unless otherwise expressly specified and limited, the terms "set," "install," and "connect" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0032] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multi-source data acquisition system for manufacturing capacity reserves to address fluctuations in equipment production pressure, including: The system comprises a low-orbit satellite IoT, a satellite telemetry and control feeder link, a satellite AMF / SMF / UPF, a gNB base station, a satellite strobe module, a wired transmission module, a sensor module, a multi-source information acquisition module, a signal processing module, an edge data storage module, a local data processing and analysis module, an equipment production cloud storage and cloud computing module, a user interface and monitoring system module, and a communication and collaboration module, characterized by: The sensor module, multi-source information acquisition module, signal processing module, edge data storage module, and local data processing and analysis module are connected through a star flash module and / or a wired transmission module to form a local production line data acquisition link. The equipment production cloud storage and cloud computing module, user interface and monitoring system module, and communication and collaboration module are connected by a wired module, and then form a remote distributed production line data acquisition link through a low-orbit satellite Internet of Things, satellite telemetry and control power supply link, satellite AMF / SMF / UPF, gNB base station and local data processing and analysis module.

2. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations as described in claim 1, characterized in that, The sensor module is one or more of the following: temperature sensor, pressure sensor, vibration sensor, photoelectric sensor, displacement sensor, distance sensor, and environmental sensor.

3. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The multi-source information acquisition module includes one or more of the following: analog signal interface, digital signal interface, pulse signal interface, bus interface, wireless interface, dedicated interface, and fiber optic interface.

4. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The signal processing module includes a signal amplification module, a signal filtering module, and an analog-to-digital signal conversion module.

5. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The wired transmission module has an interface that is one or more of the following: RS-485 communication interface, CAN bus, SPI, and I2C.

6. The multi-source data acquisition system for manufacturing capacity reserves oriented to equipment production pressure fluctuations according to claim 1, characterized in that, The edge data storage module is an SD card or an industrial-grade solid-state drive.

7. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The equipment production cloud storage and cloud computing module is an industrial PC or an industrial server.

8. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The user interface and monitoring system is a touch screen and / or an industrial display.

9. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The communication and collaboration module includes API interfaces for data exchange and integration with ERP systems, MES systems, and SCADA systems.

10. The multi-source data acquisition system for manufacturing capacity reserves oriented towards equipment production pressure fluctuations according to claim 1, characterized in that, The edge data storage module is also connected to a signal alarm, which will trigger an alarm when there is an abnormal deviation between the collected information and the threshold information stored in the edge data storage module.

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