Abstract:
Remote monitoring systems for remotely monitoring execution status of a PLC (Programmable Logic controller) program of a machine include a storage module, a parameter retrieval module and a monitoring module. The storage module stores ladder diagram information corresponding to a PLC source program, wherein the ladder diagram information includes PLC signal address relation information, a plurality of logic switches and a responsive collect command of each logic switch of a ladder diagram. The PLC signal address relation information indicates the relations of the logic switches on the ladder diagram. The parameter retrieval module respectively retrieves parameter data corresponding to the logic switches using the responsive collect commands. The monitoring module generates a status of ladder diagram according to the logic switches, the parameter data and the PLC signal address relation information to display the parameter data corresponding to each logic switch when the machine is executing the PLC source program.
Abstract:
An embedded system is disclosed. The embedded system is used for preventing a processing machine from an abnormal phenomenon when at least one processing parameter setting value is inputted into the processing machine. The embedded system is electrically connected to the processing machine, and the processing machine comprises an input interface, a first storing medium, a first controller and a stepper motor. The embedded system comprises a second storing medium and a second controller. The second controller captures the a processing parameter setting value inputted and compares it with a security range, so as to determine whether the processing machine is able to perform process for a workpiece. When the second controller determines that the processing machine is not able to perform process for the workpiece, a stop signal is generated and transmitted to the processing machine to stop performing process for the workpiece.
Abstract:
The present disclosure provides a machine tool power consumption prediction system configured for predicting power consumption of a machine tool. The machine tool executes numerical control programs to produce parts, and various parameters are included in each of the numerical control programs. The machine tool power consumption prediction system includes a power consumption database and a computer. The power consumption database stores power consumption data associated with different values of the parameters included in the numerical control programs. The computer is connected to the power consumption database to retrieve the power consumption data, and generates a power consumption estimate associated with each of the numerical control programs to be executed by the machine tool.
Abstract:
A method for determining a status of at least one machine includes the following steps: a processing unit is utilized to receive and record spindle load values of the spindle in a period of time to generate a spindle load record of the spindle, and to determine if a preset condition is matched according to the spindle load record. When the preset condition is matched, the processing unit is utilized to determine a present category corresponding to the spindle load record of the spindle, and to obtain parameter-to-be-collected information corresponding to the present category. The processing unit is utilized to obtain at least one value of at least one collected parameter of the at least one machine according to the parameter-to-be-collected information corresponding to the present category, and to determine a status of the at least one machine according to the obtained value of the at least one collected parameter.