KR-20260064895-A - Sensors with on-device AI function Integrated vibration Impact sensor for wired and wireless communication drives, their systems, and their operation methods

KR20260064895AKR 20260064895 AKR20260064895 AKR 20260064895AKR-20260064895-A

Abstract

The present invention relates to a vibration impact sensor with an integrated wired/wireless communication drive and on-device AI function, a system, and a method of operation thereof. By introducing smart functions and utilizing machine learning via an Artificial Neural Network (ANN), it scans (captures data) the vibration and impact status of a measurement target within seconds, organizes and labels the data, distinguishes between normal and abnormal conditions regarding abnormal vibration and impact, derives normal and abnormal results, and predicts accidents, thereby enabling the prevention and avoidance of social and natural disasters affecting industrial infrastructure. The method of operation of a monitoring vibration shock sensor according to the present invention comprises: (a) a step in which, when a vibration and shock source is input through a MEMS-based 3-axis accelerometer and a running button of an external interface is interrupted, the AI of the on-device AI vibration shock sensor operates to compute and store data of the vibration and shock source using an ANN algorithm of a storage device; (b) a step in which the vibration and shock state of a measurement target is scanned through machine learning using the ANN algorithm, and data filtering and labeling are performed, and normal and abnormal conditions regarding abnormal vibration and shock are distinguished through machine learning, and normal and abnormal results are derived to predict an accident; and (c) a step in which the normal and abnormal result data from the on-device AI vibration shock sensor is transmitted to an edge gateway device via wired/wireless communication such as wireless LAN, Bluetooth, or USB.

Inventors

강언욱
박상규
정순현

Assignees

주식회사 레스코

Dates

Publication Date: 20260508
Application Date: 20241030

Claims (7)

In the method of operation of a vibration shock sensor, (a) A step in which, when a vibration and shock source are input through a MEMS-based 3-axis accelerometer and the running button of an external interface is interrupted, the AI of the on-device AI vibration and shock sensor operates to compute and store data of the vibration and shock source using an ANN algorithm of a storage device; (b) a step of scanning vibration and shock conditions of a measurement target through machine learning using the above ANN algorithm, filtering and labeling data, distinguishing normal and abnormal conditions for abnormal vibration and shock through machine learning, deriving normal and abnormal results to predict accidents; and (c) A step of transmitting normal and abnormal result data from the above-described on-device AI vibration shock sensor to an edge gateway device via wired/wireless communication such as wireless LAN, Bluetooth, or USB; A method of operation of a vibration shock sensor including
In the method of operation of a vibration shock sensor, (a) A step in which, when a vibration and shock source are input through a MEMS-based 3-axis accelerometer and the running button of an external interface is interrupted, the AI of the on-device AI vibration and shock sensor operates to compute and store data of the vibration and shock source using an ANN algorithm of a storage device; (b) a step of scanning vibration and shock conditions of a measurement target through machine learning using the above ANN algorithm, filtering and labeling data, distinguishing normal and abnormal conditions for abnormal vibration and shock through machine learning, deriving normal and abnormal results to predict accidents; and (c) A step of connecting to the above-described on-device AI vibration and shock sensor via WAN, LAN, Bluetooth, or USB with a smart terminal, tablet PC, laptop, or PC to monitor the sensor's detection and result data in real time, and to set and verify the data; A method of operation of a vibration shock sensor including
In claim 1 or claim 2, The above-mentioned on-device AI vibration shock sensor is, By applying machine learning to reference data and changed data of normal-state vibration and shock, distinguishing between normal and abnormal conditions regarding abnormal vibration and shock and deriving normal and abnormal results, Operation method of vibration shock sensor.
In claim 1 or claim 2, The above-mentioned on-device AI vibration shock sensor is, The above machine learning operation and the above normal and abnormal results are distinguished by color and displayed via an indicator LED, and abnormal results are indicated by flashing red, and guidance is provided via voice message through a speaker. Displaying the above normal and abnormal results through an LCD screen, Operation method of vibration shock sensor.
When a vibration and shock source are input through a MEMS-based 3-axis accelerometer and the running button of an external interface is interrupted, the AI of the vibration and shock sensor operates to compute and store data of the vibration and shock source using an ANN algorithm of a storage device; scan the vibration and shock state of a measurement target through machine learning using the said ANN algorithm, filter and label the data; distinguish normal and abnormal conditions regarding abnormal vibration and shock through the said machine learning, derive normal and abnormal results to predict accidents, and transmit the normal and abnormal result data to an edge gateway device via wired/wireless communication such as wireless LAN, Bluetooth, or USB; and a vibration and shock sensor having a face-body shape capable of bidirectional communication with the said edge gateway device; An edge gateway device that receives normal and abnormal result data of a measurement target from the above vibration shock sensor via standardized Ethernet or wireless LAN, filters out duplicate data and abnormal noise data, and transmits the filtered normal and abnormal result data of the measurement target to a cloud server system via standardized Modebus RTU or Modebus TCP; and A cloud server system that stores and monitors result data regarding the normal and abnormal status of a measurement target received from the edge gateway device and the status of abnormalities of a sensor, and remotely controls the measurement target and the vibration shock sensor; A vibration shock sensor system including
A body formed in a rectangular frame shape, having a transmitting/receiving antenna hole, an ON/OFF button hole, a menu selection button hole, or a reset button hole formed on the upper surface, a USB terminal hole formed on one side, and a speaker hole formed on the lower surface; An upper cover positioned on the front of the above body, having a microphone hole and an indicator display window formed on the front; A lower cover disposed on the rear of the above body and having a battery installation groove formed on its upper surface; and A PCB board disposed inside the above body, wherein a transmitting/receiving antenna, an ON/OFF button, a menu selection button or a reset button, a USB terminal, a MEMS-based 3-axis accelerometer, a speaker, and an indicator LED display are electrically connected and disposed on the upper part of the board, and a battery is disposed on the lower part of the board; A vibration shock sensor including
In claim 6, The above vibration shock sensor is, An LCD screen is formed on the upper cover, and An LCD screen disposed on the upper part of the PCB substrate and exposed to the outside through the LCD screen window of the upper cover; Vibration shock sensor including additional

Description

Sensors with on-device AI function Integrated vibration impact sensor for wired and wireless communication drives, their systems, and their operation methods The present invention relates to a vibration impact sensor with an integrated wired/wireless communication drive and an on-device AI (Artificial Intelligence) function, a system thereof, and a method of operation thereof. More specifically, the invention relates to a vibration impact sensor with an integrated wired/wireless communication drive and an on-device AI function that can check the condition of building structures, machinery, and equipment, collect real-time data, and analyze and predict potential risks such as wear, damage, and destruction of an object, a system thereof, and a method of operation thereof. Generally, in the case of architectural structures or mechanical devices, phenomena appearing inside or outside the facility, such as wall cracks caused by external forces, physical vibrations, impacts, and loads, and significant defects can be identified through safety inspections of the facility. Conventional vibration shock sensors are provided as standalone sensor components, and measurements are taken using various controller converters and control analyzers from different manufacturers. Additionally, during measurement, the vibration acceleration signal can be verified via an oscilloscope or monitor. Traditionally, in industrial settings, drive motors of machinery and equipment have been the primary sources of vibration, and the causes are mostly identified by analyzing vibration waveforms in conveyor belts, ropes, bearings, circulation pumps, heating and cooling systems, flow control systems, and ventilation systems. Additionally, direct measurements are typically performed by inspectors and managers possessing specialized knowledge or technical expertise. However, conventionally, there is a problem in that it is difficult to analyze and identify the cause based solely on vibration data under the relevant environmental conditions. Furthermore, conventional methods primarily utilize speed to measure vibration or shock levels; however, there is a problem in accurately detecting abnormal vibration conditions as well as defects caused by vibration in machinery, equipment, and buildings when determining and predicting defect conditions of the measurement target. In addition, due to sensors from different manufacturers and various sensor drivers (signal converters, communication transmission devices), issues regarding communication and wired/wireless compatibility, as well as protocol compatibility mismatches, have occurred. In addition, conventional vibration shock sensors transmit only raw data converted into electrical signals of the sensor signal, thereby providing an unreasonable environment unsuitable for artificial intelligence processing of small and medium-sized data, which involves re-computing and processing the raw data in the storage of a stored cloud server system to implement AI as big data. In addition, conventional vibration and shock sensors are standardized into mostly passive sensor products by quantizing analog signals to convert them into digital signals and receiving the converted data to display it on the device itself or to display it on an LCD monitor, electronic display board, instrument panel, etc., which serve as a means of displaying it to a remote terminal device. In addition, there are difficulties in users or safety managers individually inspecting and maintaining objects in confined spaces exposed to risk in order to measure vibration and shock conditions. FIG. 1 is a block diagram of a vibration shock sensor system with an integrated wired/wireless communication drive and an on-device AI function according to a first embodiment of the present invention. FIG. 2 is a block diagram of a vibration shock sensor system with an integrated wired/wireless communication drive and an on-device AI function according to a second embodiment of the present invention. FIGS. 3 to 9 illustrate a vibration shock sensor with an integrated wired/wireless communication drive and an on-device AI function according to a first embodiment of the present invention. FIGS. 3 and FIGS. 4 are perspective views, and Fig. 5 is a plan view, and Fig. 6 is a rear view, and Fig. 7 is a side view, and FIGS. 8 to 9 are exploded perspective views. FIGS. 10 to 13 illustrate a vibration shock sensor with an integrated wired/wireless communication drive and an on-device AI function according to a second embodiment of the present invention. Fig. 10 is a perspective view, and Fig. 11 is a plan view, and Fig. 12 is a side view, and Fig. 13 is an exploded perspective view. Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments descri