Abstract: A band-sawing check valve device is provided. The band-sawing check valve device includes a main wheel, a transmission assembly, a driving assembly and a check valve assembly. The transmission assembly is linked to a transmission shaft. The transmission shaft is disposed to the transmission assembly, the driving assembly drives the transmission shaft to drive the main wheel, and the check valve assembly is used to limit the rotation of the main wheel in a single direction.

Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: A portable machine health monitoring system, applied for diagnosing a machine in operation, includes an installation device and a portable monitoring box. The installation device includes a plurality of sensing assemblies and a plurality of connecting assemblies. Each of the plurality of sensing assemblies is connected with the corresponding connecting assembly. Each of the plurality of connecting assemblies mounts the corresponding sensing assembly in a non-destructive manner onto a detected position on the machine. Each of the plurality of sensing assemblies is used for detecting a motion signal at the corresponding detected position on the machine in operation. The portable monitoring box, connected with the installation device, includes an analysis module for receiving the motion signal and further for calculating a health status information according to the detected motion signal.

Abstract: A rotational saw bow device without a rotary axis includes a saw bow seat, a fixed portion and a rotating device. The fixed portion is connected to the saw bow seat. The rotating device is disposed between the saw bow seat and the fixed portion, and the rotating device includes a driving component, an angle adjustment portion, a trajectory portion and a rotating mechanism. The driving component drives a gear wheel portion to rotate on the angle adjustment portion, so that the rotating mechanism moves along the trajectory portion to rotate the saw bow seat. In addition, a sawing machine includes the rotational saw bow device.

Abstract: A cutting machine supplying & marketing DLT-based system is provided, which includes a plurality of sensors, a cloud analysis device, a cloud data ledger module and a cloud supplying module. The sensors are connected to a plurality of components of a target cutting machine implementing a cutting operation and each sensor provides the operation data of one of the components. The cloud analysis device analyzes the operation data of the components to generate analysis results and generates the healthy statuses of the components according to the analysis results. The cloud data ledger module records the healthy statuses of the components. The cloud supplying module transmits a component purchase reminder signal to a user device according to the healthy statuses of the components for the user device to make an order.

Abstract: A band-sawing check valve device is provided. The band-sawing check valve device includes a main wheel, a transmission assembly, a driving assembly and a check valve assembly. The transmission assembly is linked to a transmission shaft. The transmission shaft is disposed to the transmission assembly, the driving assembly drives the transmission shaft to drive the main wheel, and the check valve assembly is used to limit the rotation of the main wheel in a single direction.

Abstract: A straddle-type steel section processing device of multiple saddles is disclosed, which comprises: a machine unit, a holding unit, a Z-axis direction processing unit, a pair of Y-axis direction processing units, a Y-axis direction guiderail unit and a Y-axis direction driving unit. In an embodiment, the Y-axis direction processing units are arranged respectively at the two sides of the Z-axis direction processing unit while allowing each to slide in a Y-axis direction as each Y-axis direction processing unit is further being mounted on a crossbeam of a base fitted on the machine unit. By sildably mounting the side saddles of the Y-axis direction processing unit on an end surface of the crossbeam, not only a desire condition of stable positioning can be achieved, but also the processing accuracy is enhanced.

Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: A rotational saw bow device without rotary axis is provided. The rotational saw bow device includes a saw bow seat, a fixed portion and a rotating device. The fixed portion is connected to the saw bow seat. The rotating device is disposed between the saw bow seat and the fixed portion, and the rotating device includes a driving component, an angle adjustment portion, a trajectory portion and a rotating mechanism. The driving component drives a gear wheel portion to rotate on the angle adjustment portion, so that rotating mechanism moves along the trajectory portion to rotate the saw bow seat. In addition, a sawing machine is also provided.

Abstract: A bandsaw machine health monitoring system includes a sensing module, a signal processing module, a human-machine interface module and a control module. The sensing module may include a plurality of sensing devices and these sensing devices can collect a plurality of signals from a bandsaw machine in operation. The signal processing module can be electrically connected to the sensing module and the signal processing module can process the signals collected by the sensing module. The control module can analyze the processing result transmitted from the signal processing module. The human-machine interface module can receive the analysis result of the control module and display the health status value of the bandsaw machine.

Abstract: A straddle-type steel section processing device of multiple saddles is disclosed, which comprises: a machine unit, a holding unit, a Z-axis direction processing unit, a pair of Y-axis direction processing units, a Y-axis direction guiderail unit and a Y-axis direction driving unit. In an embodiment, the Y-axis direction processing units are arranged respectively at the two sides of the Z-axis direction processing unit while allowing each to slide in a Y-axis direction as each Y-axis direction processing unit is further being mounted on a crossbeam of a base fitted on the machine unit. By sildably mounting the side saddles of the Y-axis direction processing unit on an end surface of the crossbeam, not only a desire condition of stable positioning can be achieved, but also the processing accuracy is enhanced.

Abstract: A handsaw machine health monitoring system includes a sensing module, a signal processing module, a human-machine interface module and a control module. The sensing module may include a plurality of sensing devices and these sensing devices can collect a plurality of signals from a handsaw machine in operation. The signal processing module can be electrically connected to the sensing module and the signal processing module can process the signals collected by the sensing module. The control module can analyze the processing result transmitted from the signal processing module. The human-machine interface module can receive the analysis result of the control module and display the health status value of the handsaw machine.