Abstract: An operation assistance system can collect on-site data and perform fault diagnosis analysis to provide an operational guidance for helping users to operate a subject device. In the operation assistance system, a user device is configured to observe the subject device, capture live video, and simultaneously display visual aids. The monitor device is coupled to the subject device to monitor various sensor states of the subject device to determine a fault status. The server is coupled to the user device and the monitor device, providing visual aids to the user device based on the fault status. The user device is also configured to allow the wearer to perceive the visual aids displayed as in a specific relative position in the space where the subject device is located.

Abstract: A many-to-many state identification system of equipment names broadcasted from Internet-of-Things comprises IoT nodes and IoT mobile devices connecting the IoT nodes wirelessly. Each IoT node receives the sensed value of transducer on a machine element, determining whether the sensed value of transducer is abnormal. Next, the IoT node broadcasts an equipment identification name containing an existing gateway identification code and a state code of transducer showing whether the transducer is abnormal. When the IoT mobile device scans the equipment identification name broadcasted from the IoT node, a visual interface displays the state of IoT node by identifying the gateway identification code and the state code. Accordingly, before connecting the IoT mobile device to the IoT node, the state of transducer in the IoT node is acquired, allowing any IoT mobile device to monitor any transducer in a synchronous and many-to-many manner within the broadcasting area.

Abstract: A many-to-many state identification system of equipment names broadcasted from Internet-of-Things comprises IoT nodes and IoT mobile devices connecting the IoT nodes wirelessly. Each IoT node receives the sensed value of transducer on a machine element, determining whether the sensed value of transducer is abnormal. Next, the IoT node broadcasts an equipment identification name containing an existing gateway identification code and a state code of transducer showing whether the transducer is abnormal. When the IoT mobile device scans the equipment identification name broadcasted from the IoT node, a visual interface displays the state of IoT node by identifying the gateway identification code and the state code. Accordingly, before connecting the IoT mobile device to the IoT node, the state of transducer in the IoT node is acquired, allowing any IoT mobile device to monitor any transducer in a synchronous and many-to-many manner within the broadcasting area.

Abstract: An optical detecting apparatus for detecting a degree of freedom error of a spindle and has a standard bar and a sensor module, and is assembled between a spindle and a rotating platform of a powered machinery. The standard bar has a rod lens and a reflection face. The sensor module has two detecting groups, an oblique laser head, and a reflected spot displacement sensor. Each detecting group emits a laser light through the rod lens along the X-axis and the Y-axis of the powered machinery. The oblique laser head emits an oblique laser light to the reflected spot displacement sensor. When the spindle of the powered machinery generates errors after rotating, the sensor module receives the changes of the laser lights to obtain the displacement change signals of the standard bar for a calculation unit to detect the errors between the spindle and the rotating platform.

Abstract: An optical detecting apparatus for detecting a degree of freedom error of a spindle and has a standard bar and a sensor module, and is assembled between a spindle and a rotating platform of a powered machinery. The standard bar has a rod lens and a reflection face. The sensor module has two detecting groups, an oblique laser head, and a reflected spot displacement sensor. Each detecting group emits a laser light through the rod lens along the X-axis and the Y-axis of the powered machinery. The oblique laser head emits an oblique laser light to the reflected spot displacement sensor. When the spindle of the powered machinery generates errors after rotating, the sensor module receives the changes of the laser lights to obtain the displacement change signals of the standard bar for a calculation unit to detect the errors between the spindle and the rotating platform.

Abstract: A method of auto scanning and scraping a work piece for a hard rail has a preparing step, a scanning step, a detecting step, an auto-scraping step and an analyzing step. The preparing step comprises preparing an auto scanning and scraping apparatus with a multi-axis machine tool, a control computer, an auto-scraping device and a position detector. The scanning step comprises scanning the surface of the work piece to read the roughness value and transporting the data to the control computer. The detecting step comprises forming a 3D-appearance drawing of the work piece and detecting the 3D-appearance drawing with multiple detection steps. The auto-scraping step comprises scraping the surface of the work piece by the auto-scraping device. The analyzing step comprises detecting the 3D-appearance drawing of the work piece that has been scraped with the preceding detection steps and scraping the work piece to meet the preceding detection steps.