Temporary wireless sensor network system

• US 20030204371A1
• Filed: 04/30/2003
• Published: 10/30/2003
• Est. Priority Date: 04/30/2002
• Status: Abandoned Application

• Current Assignee: Chevron USA Incorporated (Chevron Corp.)
• Original Assignee: Chevron USA Incorporated (Chevron Corp.)
• Inventors: Sciamanna, Steven F.
• Application Number:
  US10/427,192
• Publication Number:
  US 20030204371A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: G06F 11/0736 in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function testing or monitoring of automated control systems G05B23/02
• CPC Class Codes: G06F 11/0748 in a remote unit communicating with a single-box computer node experiencing an error/fault remote testing G06F11/2294
• CPC Class Codes: G06F 11/2294 by remote test
• CPC Class Codes: G21C 17/00 Monitoring; Testing measuring in general G01; Maintaining
• CPC Class Codes: G21D 3/08 Regulation of any parameters in the plant
• CPC Class Codes: Y02E 30/00 Energy generation of nuclear origin
• CPC Class Codes: Y02E 30/30 Nuclear fission reactors

Abstract

The invention is an integrated temporary wireless network system for controlling, collecting, processing, and responding to data generated by a plurality of sensors configured for measuring data associated with operation of, and the environment related to, commercial, industrial and manufacturing operations, processes and equipment located within a fixed geographic area; a plurality of Wireless-Nodes, one coupled to each sensor, configured and adapted for wirelessly transmitting the data, via a Repeater if necessary, to a Base-Station, configured for receiving the data and connected to a primary computer; a CPU coupled with the primary computer and; a memory operatively connected to the CPU, the memory containing a program adapted to be executed by the CPU and the CPU and memory cooperatively adapted to perform data flow control from the plurality of Wireless-Nodes, data storage, and diagnostic analysis of the transmitted sensor data.

Claims

1. A method for monitoring, facilitation of trouble-shooting and problem diagnosis in an Industrial Process, the method comprising:

(a) Installing a plurality of temporary, removable sensors on an Industrial Process;

(b) collecting operational or environmental data associated with the Industrial Process via the plurality of sensors;

(c) communicating the data from the sensors to a Wireless-Node for transmitting the collected data;

(d) communicating the data from the Wireless-Node to a Base-Station located remotely from the sensors;

(e) communicating the data to a general-purpose computer having loaded in memory computer software code portions for controlling the flow of data from the Wireless-Nodes and for storing, querying, reporting, visualizing and analyzing the data for relationships or anomalies among the data; and

(f) removing the plurality of sensors from the Industrial Process.

2. The method of claim 1, further comprising after step (e) and prior to step (f) the general purpose computer having software code portions for integrating the temporary sensor data with data collected from an existing wired process-control system, thereby producing an aggregated data.

3. A method for evaluating the need and/or benefit for new permanent data sensors and/or sensing locations in an Industrial Process, the method comprising:

(a) Installing a plurality of temporary, removable sensors on an Industrial Process;

(b) collecting operational or environmental data associated with the Industrial Process via the plurality of sensors;

(c) communicating the data from the sensors to a Wireless-Node for transmitting the collected data;

(d) communicating the data from the Wireless-Node to a Base-Station located remotely from the sensors;

(e) communicating the data to a general-purpose computer having loaded in memory computer software code portions for controlling the flow of data from the Wireless-Nodes and for storing, querying, reporting, visualizing and analyzing the data;

(f) assessing the benefit or business value of the temporary sensors or alternate sensing locations; and

(g) removing the plurality of sensors from the Industrial Process or its related hardware.

4. The method of claim 3, further comprising installing one or more permanent sensors corresponding to one or more of the temporary sensors or sensing locations.

5. The method of claim 3, further comprising after step (e) and prior to step (f) the general purpose computer having software code portions for integrating the temporary sensor data with data collected from an existing wired process-control system, thereby producing aggregated data.

6. A system for monitoring, facilitation of trouble-shooting and problem diagnosis in an Industrial Process comprising:

(a) a plurality of sensors for collecting operational or environmental data associated with an Industrial Process, wherein each sensor is temporarily and removably connected to an Industrial Process;

(b) a Wireless-Node in communication with each of the sensors for transmitting the collected data;

(c) a Repeater located remotely from the sensors and Wireless-Nodes for receiving the collected data from the Wireless-Nodes and for re-transmitting the collected data;

(d) a Base-Station located remotely from the sensors, the Wireless-Nodes, and the Repeater for receiving the collected data; and

(e) communicating the data to a general-purpose computer having loaded in memory computer software code portions for controlling the flow of data from the Wireless-Nodes and Repeaters for pre-processing the collected data for further processing.

7. The system of claim 6, where the further processing comprises integrating the collected data from the Base-Station with data collected from an existing wired process-control system, thereby producing aggregated data.

8. The system of claim 6, further comprising a second general purpose computer, operatively connected to the network, having loaded in memory computer software code portions for storing, querying, reporting, visualizing and analyzing the aggregated data for relationships or anomalies among the collected data.

9. The data processing system of claim 6, wherein the sensors are selected from temperature, pressure, flow rate, level, relative humidity, electric current, voltage, power, vibration, rotational speed, velocity, light, sound, contact closures, corrosion rate, pH, ORP, electronic “

smell”

, composition sensors, and mixtures thereof.

10. The system of claim 6, further comprising having loaded in memory of a general purpose computer comprising the first general purpose computer, the second general purpose computer, or mixtures thereof, computer software code portions for determining from the collected data the occurrence of a pre-defined event and, when a pre-defined event occurs, sending an event notification signal over a network to a signal-receiving device.

11. A data processing system for collecting, processing, and responding to a plurality of data generated by a plurality of pieces of Industrial Equipment located within a fixed geographic area, comprising:

(a) a plurality of sensors configured for measuring data useful for operating pieces of Industrial Equipment;

(b) a Wireless-Node operatively connected to at least a portion of the plurality of sensors and configured and adapted for wirelessly transmitting the data from the sensors;

(c) a Base-Station configured for receiving the data transmitted and for passing the data to a primary computer;

(d) a CPU coupled with the primary computer and;

(e) a memory operatively connected to said CPU, said memory containing a program adapted to be executed by said CPU and said CPU and memory cooperatively adapted to perform diagnostic analysis of the data transmitted from the Base-Station.

12. The data processing system of claim 11, wherein the data is selected from temperature, pressure, flow rate, level, relative humidity, electric current, voltage, power, vibration, rotational speed, velocity, light, sound, contact closures, corrosion rate, pH, ORP, electronic “

smell”

, composition sensors and mixtures thereof.

13. The data processing system of claim 11, further comprising wired sensors proximate to the wireless sensors;

aggregating means for aggregating data collected from wired and wireless sensors; and

wherein the CPU and memory is further cooperatively adapted to perform diagnostic analysis of the aggregated data.

14. The system of claim 11, further comprising having loaded in memory of a general purpose computer in communication with the primary computer, computer software code portions for determining from the data the occurrence of a pre-defined event and, when a pre-defined event occurs, sending an event notification signal over a network to a signal-receiving device.

15. A method for monitoring, facilitation of trouble-shooting and problem diagnosis in an Industrial Process comprising:

(a) collecting operational or environmental data associated with an Industrial Process unit via a plurality of sensors, wherein each sensor is temporarily and removably connected to an Industrial Process;

(b) communicating the data from the sensors to a Wireless-Node for transmitting the collected data;

(c) communicating the data from the Wireless-Node to a Base-Station located remotely from the sensors;

(d) communicating the data from the Base-Station to a first general purpose computer having loaded in memory computer software code portions for controlling the flow of data from the Wireless-Nodes and computer software code for storing and querying this data,

(e) communicating the temporary sensor data from the first general-purpose computer to a second general-purpose computer having loaded in memory computer software code portions for integrating the collected data from the first general-purpose computer with data collected from an existing wired process-control system, thereby producing an aggregated data and analyzing the aggregated data for relationships or anomalies among the aggregated data.

16. The method of claim 15, wherein the first general purpose computer and second general-purpose computer are logical distinctions only and are the same physically.

17. The data processing system of claim 15, wherein the sensors are selected from temperature, pressure, flow rate, level, relative humidity, electric current, voltage, power, vibration, rotational speed, velocity, light, sound, contact closures, corrosion rate, pH, ORP, electronic “

smell”

, composition sensors, and mixtures thereof.

18. A method for collecting, processing, and responding to a plurality of data generated by a plurality of pieces of Industrial Equipment located within a fixed geographic area, comprising:

(a) measuring data useful for operating pieces of Industrial Equipment via plurality of temporary, removable sensors;

(b) wirelessly transmitting the data via a plurality of Wireless-Nodes, one coupled to each sensor;

(c) receiving the data by at least one wireless Repeater;

(d) re-transmitting the data via the wireless Repeater;

(e) receiving the data by a Base-Station; and

(f) communicating the data via a wired network to a primary computer comprising a CPU coupled with the primary computer and a memory operatively connected to said CPU, said memory containing a program adapted to be executed by said CPU and said CPU and memory cooperatively adapted to perform diagnostic analysis of the data communicated from the Base-Station.

19. The method of claim 18, wherein the sensors are selected from temperature, pressure, flow rate, level, relative humidity, electric current, voltage, power, vibration, rotational speed, velocity, light, sound, contact closures, corrosion rate, pH, ORP, electronic “

smell”

, composition sensors, and mixtures thereof.

20. The method of claim 18, further comprising collecting data from wired sensors disposed proximate to the wireless-enabled sensors;

aggregating the data collected from the wired and wireless-enabled sensors; and

wherein the CPU and memory of the primary computer is further cooperatively adapted to perform diagnostic analysis of the aggregated data.