Method and apparatus for pneumatically conveying particulate material including a user-visible IoT-based classification and predictive maintenance system noting maintenance state as being acceptable, cautionary, or dangerous
First Claim
1. A method of pneumatically conveying particulate material while providing a user visible IoT-based classification and predictive maintenance reading respecting performance of the method as being acceptable, cautionary or dangerous on a numerical scale ranging from 0 to 100, comprising:
- a) providing a vacuum pump comprising;
i) a motor;
ii) a blower; and
iii) a plurality sensors for measuring vibration, magnetic filed, pressure, and temperature at various positions on the vacuum pump;
b) by operation of the vacuum pump, drawing a vacuum through a conduit leading from the vacuum pump to a material receiver and on to a particulate material pickup device thereby picking up and transporting particulate material from a source thereof to the receiver;
c) providing data from the sensors to a communications network;
d) receiving in mobile middleware a plurality of sensor data from the communications network;
e) determining one or more clusters from the sensor data based on a pre-determined rule set;
f) classifying the sensor data through a machine learning engine connected to the middleware;
g) base-lining the sensor data, in a real time data processing system communicating with the machine learning engine, using a combination of database architecture, data training architecture, and a base-lining algorithm;
h) using a regression model calculating the predictive maintenance state of the vacuum pump; and
i) presenting the maintenance state of the method on a fuel gauge representation based on a predictive maintenance state calculated by the regression model.
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Abstract
A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.
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Citations
16 Claims
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1. A method of pneumatically conveying particulate material while providing a user visible IoT-based classification and predictive maintenance reading respecting performance of the method as being acceptable, cautionary or dangerous on a numerical scale ranging from 0 to 100, comprising:
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a) providing a vacuum pump comprising; i) a motor; ii) a blower; and iii) a plurality sensors for measuring vibration, magnetic filed, pressure, and temperature at various positions on the vacuum pump; b) by operation of the vacuum pump, drawing a vacuum through a conduit leading from the vacuum pump to a material receiver and on to a particulate material pickup device thereby picking up and transporting particulate material from a source thereof to the receiver; c) providing data from the sensors to a communications network; d) receiving in mobile middleware a plurality of sensor data from the communications network; e) determining one or more clusters from the sensor data based on a pre-determined rule set; f) classifying the sensor data through a machine learning engine connected to the middleware; g) base-lining the sensor data, in a real time data processing system communicating with the machine learning engine, using a combination of database architecture, data training architecture, and a base-lining algorithm; h) using a regression model calculating the predictive maintenance state of the vacuum pump; and i) presenting the maintenance state of the method on a fuel gauge representation based on a predictive maintenance state calculated by the regression model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. Apparatus for pneumatically conveying particulate material including a user visible IoT-based classification and predictive maintenance system noting apparatus maintenance state as being acceptable, cautionary, or dangerous, comprising:
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a) a vacuum pump comprising; i) a motor; ii) a blower; and iii) a plurality of sensors mounted on the pump for measuring vibration, magnetic field, pressure, power factor, and temperature, and supplying data indicative of such measurements; b) a communications network communicating with the sensors; c) mobile middleware receiving a plurality of the sensor data of the communications network; d) a real time data processing system connected to the mobile middleware and including associated distributed databases, the data processing system further comprising; i) a clustering module for determining presence of one or more data clusters from the sensor data based on a pre-determined rule set; ii) a computer database for storing the pre-determined rule set; iii) a machine learning engine for classifying the sensor data according to the predetermined rule set; iv) a base-lining architecture for base-lining the sensor data, the base-lining architecture comprising; (1) a combination of database architecture, data training architecture, and a base-lining algorithm; and (2) a regression module associated with a processor to predict a predictive maintenance state; e) a receiver for storage of conveyed material received pneumatically from the pick-up device; f) tubular segments for pneumatically connecting the receiver to the vacuum pump and for pneumatically connecting the pickup device to the receiver for pneumatic conveyance of the particulate material from the pickup device to the receiver through the tubing in response to vacuum drawn by the pump; g) a user interface, connected to the pump, for visibly displaying the determined state of maintenance of the pneumatic conveying apparatus; h) the real-time data processing system mapping the predicted maintenance state of the pneumatic conveying apparatus as a depiction on the user interface. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification