Device, method and system for monitoring a network of fluid-carrying conduits

• US 10,030,818 B2
• Filed: 11/28/2013
• Issued: 07/24/2018
• Est. Priority Date: 11/30/2012
• Status: Active Grant

• Current Assignee: IP2IPO Innovations Limited (IP Group plc)
• Original Assignee: Imperial Innovations Limited (Imperial College London)
• Inventors: Hoskins, Asher John, Stoianov, Ivan Iordanov
• Primary Examiner(s): Menz, Douglas
• Application Number:
  US14/648,439
• Publication Number:
  US 20150308627A1
• Time in Patent Office: 1,699 Days
• CPC Class Codes: E03B 7/00 Water main or service pipe systems pipes or tubes in general F16L
• CPC Class Codes: F17D 5/02 Preventing, monitoring, or locating loss
• CPC Class Codes: F17D 5/06 using electric or acoustic means
• CPC Class Codes: G01D 4/004 Remote reading of utility meters to a fixed location
• CPC Class Codes: G01F 1/00 Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow measuring a proportion of the volume flow G01F5/00
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A liquid-flow monitoring device (10) arranged to monitor the flow of liquid in a conduit. The device (10) comprises sampling means (20), processing means (30) and data storage means (40). The sampling means is arranged to receive data substantially continuously from a sensor (12) indicative of at least one variable sensed by the sensor (12) indicative of fluid flow in a conduit and to sample the data to produce a stream of sampled data. The processing means (30) is arranged to process the stream of sampled data to extract at least one sub-sampled stream therefrom, the sub-sampled stream comprising a plurality of data sets, each data set being a statistical subset of the stream of sampled data over a respective data-set period. The data storage means (40) is arranged to store the at least one sub-sampled stream.

Claims

1. A liquid-flow monitoring device configured to monitor the flow of liquid in a conduit, the device comprising a sampler, a processor, a memory, and a communication module, wherein:

the sampler is configured to receive data substantially continuously from a sensor indicative of at least one variable sensed by the sensor indicative of fluid flow in a conduit and to sample the data to produce a stream of sampled data;

the processor is configured to process the stream of sampled data to extract summary information and at least one sub-sampled stream therefrom, the sub-sampled stream comprising a plurality of data sets, each data set being a statistical subset of the stream of sampled data over a respective data-set period;

the memory is configured to store the at least one sub-sampled stream; and

the communication module is configured to periodically transmit the summary information to a central location remote from the device and, upon receiving a request for a more complete representation of the stream of sampled data at or over a specified time, to transmit one or more data sets corresponding to the specified time to the central location.

2. A device according to claim 1, wherein the device is modular, components of the device being housed in respective housings that can be locally, and releasably, coupled together for operation.

3. A device according to claim 2, wherein the memory and the communication module are housed in a memory module that comprises a display readable by a user to indicate the operation of the device.

4. A device according to claim 2, wherein the memory is housed in a memory module and is configured for local communication with an interrogation apparatus and is configured to operate as a server during such communication.

5. A device according to claim 2, wherein one or more module is pressurised to contain air above atmospheric pressure such that the module floats in water and resists ingression.

6. A device according to claim 5, wherein the pressurised module comprises an air pressure sensor configured to provide data to the processor , wherein, upon detecting a drop in air pressure below a specified threshold, the processor is configured to identify that the module in question should be examined and generate a signal indicative of this.

7. A device according to claim 6, further comprising a battery module comprising an ID chip to uniquely identify a battery in the battery module, the ID chip being readable by the processor and when the battery module is connected for operation.

8. A device according to claim 1, wherein the summary information enables a processor at the central location to determine the approximate location of the cause of a transient event in the conduit.

9. A method of monitoring the flow of liquid in a conduit, the method comprising the steps of a liquid-flow monitoring device:

receiving data substantially continuously from a sensor, the data indicative of fluid flow in a conduit, and operating a sampler of the device to sample the data to produce a stream of sampled data;

processing, using a processor of the device, the stream of sampled data to extract summary information and at least one sub-sampled stream therefrom, the sub-sampled stream comprising a plurality of data sets, each data set being a statistical subset of the stream of sampled data over a respective data-set period;

storing, using memory of the device, the at least one sub-sampled stream;

periodically transmitting, using a communication module of the device, the summary information to a central location remote from the device; and

upon receiving a request for a more complete representation of the stream of sampled data at or over a specified time, transmitting one or more data sets corresponding to the specified time to the central location.

10. A method according to claim 9, wherein the statistical subset comprised in each data set of the sub-sampled stream comprises the maximum and/or minimum and/or mean and/or standard deviation and/or another statistical value of the data over the respective period of the data set.

11. A method according to claim 9, wherein the at least one sub-sampled stream comprises a more complete representation of the stream of sampled data over a particular period than is provided by the extracted summary information over that period.

12. A method according to claim 9, wherein the statistical subset comprised in each data set of the sub-sampled stream comprises the maximum and/or minimum and/or mean and/or standard deviation and/or another statistical value of the data over the respective period of the data set.

13. A method according to claim 9, wherein the request is received from a central location remote from the device or from an interrogating apparatus coupled locally with the device.

14. A method according to claim 9, where there is a plurality of subsampled streams, each comprising a plurality of data sets that comprise a statistical subset of the stream of sampled data, the data sets of each subsampled stream comprising a statistical subset over periods of different respective length.

15. A method according to claim 14, wherein the request for a more complete representation is a request for a respective portion from each of a plurality of the sub-sampled streams, and wherein the communication module, in response to this request, transmits the one or more of the data sets in each of these portions.

16. A method according to claim 9, wherein the sub-sampled stream is stored in a circular buffer.

17. A method according to claim 9, wherein processing the stream of sampled data to extract summary information therefrom comprises processing the stream of sampled data to identify transient events and/or non-transient events by summing the difference between successive data points in the stream of sampled data over a time period to give a cumulative sum, and comparing the sum against a probability of that sum being indicative of a transient event to determine whether or not a transient event has been identified.

18. A method according to claim 17, wherein the processing the stream of sampled data to identify transient and/or non-transient events comprises processing the stream of sampled data over a rolling time period in the stream of sampled data.

19. A method according to claim 17, wherein the sum is compared against a record of the probability of that sum being indicative of a transient, the record being a probability distribution function of probability of the sum occurring against the value of the sum.

20. A method occurring to claim 19, comprising generating the record during operation of the device by recording each sum and its frequency of occurrence.

21. A method according to claim 17, wherein the record comprises an indication of a threshold indicative of the probability value below which it is determined that the sum is indicative of a transient event and hence that a transient event has been identified, the method comprising comparing, by referencing the record, the probability of the calculated cumulative sum occurring against that threshold.

22. A method according to claim 17, wherein, in response to identifying a transient event, the device operating a display of the device to indicate this.

23. A method according to claim 17, wherein, in response to identifying a transient event, the communications module transmits a signal indicative of this to the central location.

24. A method according to claim 9, wherein processing the stream of sampled data to extract the summary information therefrom may comprise determining summary statistical information from the stream of sampled data, the summary statistical information forming at least part of the extracted summary information;

the summary statistical information comprising one or more maximum and/or minimum and/or mean and/or variance and/or standard deviation value of the portion of the stream.

25. A method according to claim 17, wherein, in response to identifying a transient event, the processor generates a transient descriptor that indicates one or more characteristics of the identified transient event, a transient descriptor indicating the gradient of the transient, the direction of the gradient, the start and/or stop magnitudes of the transient or the dissipation gradient.

26. A method according to claim 25, wherein the transient descriptor is used by the processor to generate an indication of the severity of the transient by comparing the value of the transient descriptor against an indication of the probability of that value of the transient descriptor occurring.

27. A method according to claim 26, wherein the value of the transient descriptor is compared with a probability distribution of measured values of the transient descriptor during use to ascertain the probability of that value.

28. A method according to claim 27, wherein the ascertained probability is compared with one or more thresholds to give the severity of the transient, and further comprising classifying the impact of the transient on the conduit as low impact, medium impact or high impact.

29. A method according to claim 26, wherein the ascertained severity of the transient is used to determine the frequency of transmission of the extracted summary information from the communication module.

30. A method according to claim 9, further comprising receiving respective data substantially continuously from each of a plurality of sensors indicative of a respective variable sensed by each sensor;

sampling the data to produce a respective stream of sampled data for each of the variables sensed such that each stream is handled in parallel in substantially the same way.

31. A method according to claim 9, wherein the summary information includes information indicative of a transient event and a time stamp of the occurrence of that event.