A production line personnel status information acquisition system for equipment production pressure fluctuations

Abstract

This utility model relates to the field of equipment manufacturing, specifically a production line personnel status information acquisition system for equipment production pressure fluctuations. It includes: a physiological and behavioral status perception module, an edge computing module, an industrial private cloud platform, a 5G private network, an industrial WiFi 6 module, and an optical fiber module. The physiological and behavioral status perception module is connected to the edge computing module via the 5G private network and / or the industrial WiFi 6 module, transmitting the collected data to the edge computing module. The edge computing module is connected to the industrial private cloud platform via the optical fiber module, transmitting the processed data to the industrial private cloud platform. The collected information can support multi-dimensional perception fusion and the construction of a physiological-behavioral-environment holographic profile, meeting the data acquisition needs for action-level correction and cross-modal verification, and providing information support for achieving proactive prevention and intervention capabilities.

Description

Technical Field

[0001] This utility model relates to the field of equipment manufacturing, specifically a system for collecting the status information of production line personnel 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, such as the insertion of rush orders, sudden increases / decreases in output, and frequent product switchovers, can significantly amplify quality risks by affecting the condition of production line personnel. This impact is not linear but is transmitted through multiple pressure paths, ultimately manifesting as a decrease in product defect rates and consistency. Specifically, the transmission chain of quality risks to production line personnel includes: fatigue accumulation leading to decreased operational precision, loss of rhythm causing standardization failure, skill gaps resulting in amplified variations, and pressure overload causing judgment errors.

[0004] Current equipment production lines primarily rely on requiring production line personnel to adapt to fluctuations, a crisis management model. To transform the production line's personnel status into a stabilizer rather than a risk amplifier for equipment production pressure fluctuations, it's necessary to improve the production line's predictability, buffering capacity, and self-healing capabilities to maintain the resilience of consistent equipment production quality. This requires transforming the traditional reactive firefighting system into a proactive adaptation system based on human factors data. Personnel status information is a key component of human factors data and a core decision-making basis for addressing quality risks under equipment production pressure fluctuations. Therefore, to maintain the resilience of consistent equipment production quality in the face of production pressure fluctuations, it is necessary to collect multi-dimensional data as human factors data for identifying the status of production line personnel. A production line personnel status information collection system for equipment production pressure fluctuations urgently needs to be developed. Utility Model Content

[0005] The purpose of this invention is to provide a production line personnel status information collection system for equipment production pressure fluctuations, which can meet the needs of collecting human factor data to identify the status of production line personnel.

[0006] To achieve the above objectives, this utility model provides the following technical solution: a physiological and behavioral state sensing module, an edge computing module, an industrial private cloud platform, a 5G private network, an industrial WiFi 6 module, and an optical fiber module. The physiological and behavioral state sensing module includes a fatigue and focus data sensing module, an operational compliance data sensing module, and a safety and compliance data sensing module. The physiological and behavioral state sensing module is connected to the edge computing module through the 5G private network and / or the industrial WiFi 6 module, transmitting the collected data to the edge computing module. The edge computing module is connected to the industrial private cloud platform through the optical fiber module, transmitting the processed data to the industrial private cloud platform.

[0007] The preferred technical solution is that the fatigue and focus data sensing module is a non-contact data sensing module, including a millimeter-wave radar sensor and a pressure-sensing mat.

[0008] The preferred technical solution is that the fatigue and focus data sensing module is a wearable data sensing module, including smart work shoes, UWB positioning wristband, tool handle biosensor, and electromyography armband.

[0009] The preferred technical solution is that the operation standard data sensing module includes: an industrial camera and a torque sensor.

[0010] The preferred technical solution is that the safety and compliance data perception module includes: a smart safety helmet and a lidar.

[0011] The preferred technical solution is that the edge computing module includes: an AI inference card, a time-sensitive network card, and a protocol conversion module.

[0012] The preferred technical solution is that the industrial private cloud platform includes: a GPU server, a distributed storage node, an industrial protocol gateway, a 5G MEC node, and a PLC communication module.

[0013] Compared with the prior art, the beneficial effects of this utility model are as follows:

[0014] 1. This utility model is a production line personnel status information collection system for equipment production pressure fluctuations. The collected information can support multi-dimensional perception fusion and construction of physiological-behavioral-environmental holographic profiles, providing real-time information support for early warning of fatigue risks of production line personnel. Through multi-source data collection, cross-verification of the status of production line personnel can be achieved.

[0015] 2. Provides information support for real-time closed-loop control of operational standardization, and can support action-level correction and cross-modal verification.

[0016] 3. It can change the post-event traceability protection method, improve the coverage of preventable accidents, and provide information support for achieving proactive blocking capabilities of pre-event prevention and in-event intervention. Attached Figure Description

[0017] Figure 1 This is a module diagram of the present utility model.

[0018] The diagram shows: 1. Physiological and behavioral state perception module; 2. Edge computing module; 3. Industrial private cloud platform; 4. 5G private network; 5. Industrial WiFi 6 module; 6. Fiber optic module; 7. Fatigue and focus data perception module; 8. Operational compliance data perception module; 9. Safety and compliance data perception module. Detailed Implementation

[0019] 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, the detailed description of the operation of many system modules is intended to facilitate a better understanding of this 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 this application are not shown or described in the specification. This is to avoid obscuring the core parts of this 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.

[0020] 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.

[0021] 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).

[0022] As attached Figure 1As shown: A production line personnel status information collection system for equipment production pressure fluctuations includes a physiological and behavioral status sensing module 1, an edge computing module 2, an industrial private cloud platform 3, a 5G private network 4, an industrial WiFi 6 module 5, and an optical fiber module 6. The physiological and behavioral status sensing module 1 includes a fatigue and focus data sensing module 7, an operational standardization data sensing module 8, and a safety and compliance data sensing module 9. The physiological and behavioral status sensing module 1 is connected to the edge computing module 2 through the 5G private network 4 and / or the industrial WiFi 6 module 5, transmitting the collected data to the edge computing module 2. The edge computing module 2 is connected to the industrial private cloud platform through the optical fiber module 6, transmitting the processed data to the industrial private cloud platform.

[0023] In the physiological and behavioral state perception module 1, the fatigue and focus data perception module 7 collects information on the breathing, heart rate, gait analysis, standing time, and real-time location of production line personnel. This information is used to identify and couple physiological indicators, behavioral performance, and cognitive state-related events related to fatigue and focus. The operation standardization data perception module 8 collects 3D motion capture information, power tool torque parameters, and information on the number of times the tightening curve exceeds tolerance. This information is used to identify events related to the accuracy of action sequences, action quality, and tool / material usage. The safety and compliance data perception module 9 collects behavioral information to identify events related to the wearing of personal protective equipment, compliance with safety procedures, and safety of the work area. The physiological and behavioral state perception module 1 transmits the collected information to the edge computing module 2 via the 5G private network 4 and / or industrial WiFi 6 module 5. The AI ​​inference card in the edge computing module 2 can realize low-power video analysis, the time-sensitive network card can ensure low latency of motion control commands, and the protocol conversion module can support communication protocol conversion. The edge computing module 2 transmits the pre-processed video stream information and multi-sensor fusion information to the industrial private cloud platform 3 via the fiber optic module 6. With the support of the collected data, the industrial private cloud platform 3 realizes metadata storage management and end-to-end information traceability from sensors to reports.

[0024] 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.

[0025] 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.

[0026] 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 line personnel state information collection system oriented to equipment production pressure fluctuation, comprising: The invention comprises a physiological and behavioral state perception module, an edge computing module, an industrial private cloud platform, a 5G private network, an industrial WiFi 6 module, and an optical fiber module. The physiological and behavioral state perception module includes a fatigue and focus data perception module, an operational compliance data perception module, and a safety and compliance data perception module. The physiological and behavioral state perception module is connected to the edge computing module via the 5G private network and / or the industrial WiFi 6 module, transmitting the collected data to the edge computing module. The edge computing module is connected to the industrial private cloud platform via the optical fiber module, transmitting the processed data to the industrial private cloud platform.

2. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The fatigue and focus data sensing module is a non-contact data sensing module, including a millimeter-wave radar sensor and a pressure-sensitive floor mat.

3. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The fatigue and focus data sensing module is a wearable data sensing module, including smart work shoes, UWB positioning wristband, tool handle biosensor, and electromyography armband.

4. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The aforementioned operational standardization data sensing module includes: an industrial camera and a torque sensor.

5. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The aforementioned safety and compliance data perception module includes: a smart safety helmet and a lidar.

6. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The edge computing module includes: an AI inference card, a time-sensitive network card, and a protocol conversion module.

7. The line personnel state information collection system for equipment production pressure fluctuation according to claim 1, characterized in that, The industrial private cloud platform includes: GPU server, distributed storage node, industrial protocol gateway, 5GMEC node, and PLC communication module.

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