We are a company working in the field of Industrial IoT. We have focused ourselves to monitoring and control of machines which are controlled by PLC. We are capturing the state of machine, parts produced, and the parameters related to the parts produced, e.g. leak rate in case of leak testing of parts which are critical in determining whether the parts are Ok or Ng. Data captured by PLC is sent to the PIIoT controller which transmits it to the internet or intranet for use. The transmitted data can be put to multiple uses. Case 1(Seaming Machine): Transmitted data is used to monitor the number of parts manufactured in that machine. An operating engineer working on that machine has to fill a checksheet(real life scenario) after every 500 parts manufactured which is not done properly right now. We can turn off the machine if he is not filling the checksheet which can be made available on his mobile or tablet. Once he submits the checksheet machine is switched on automatically. Case 2(Leak...
We are a company working in the field of Industrial IoT. We have focused ourselves to monitoring and control of machines which are controlled by PLC. We are capturing the state of machine, parts produced, and the parameters related to the parts produced, e.g. leak rate in case of leak testing of parts which are critical in determining whether the parts are Ok or Ng. Data captured by PLC is sent to the PIIoT controller which transmits it to the internet or intranet for use. The transmitted data can be put to multiple uses. Case 1(Seaming Machine): Transmitted data is used to monitor the number of parts manufactured in that machine. An operating engineer working on that machine has to fill a checksheet(real life scenario) after every 500 parts manufactured which is not done properly right now. We can turn off the machine if he is not filling the checksheet which can be made available on his mobile or tablet. Once he submits the checksheet machine is switched on automatically. Case 2(Leak Testing Machine): After leak testing of the engine cover, the part is moved to multimeter gauging for measurement. Using our solution we are sending the data to related to the tested part to mulitmeter gauging machine using local network so that mulitmeter gauged machine can be stopped if the part is Ng. Earlier the operating engineer used to write with the marker whether the part was Ok or Ng; now an automated response is generated and stops the machine for further processing of the Ng part. We are using the same method in transferring of data. The method developed by us is novel and different from all other techniques used till date in this field. One can even trace the product parameters at various stages when the part is sent back by the customer. Machine downtime can be recorded with the help of live monitoring of parts manufactured and the idle time of the machine.
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