AU2020104058A4 - A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32 - Google Patents

A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32 Download PDF

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Publication number
AU2020104058A4
AU2020104058A4 AU2020104058A AU2020104058A AU2020104058A4 AU 2020104058 A4 AU2020104058 A4 AU 2020104058A4 AU 2020104058 A AU2020104058 A AU 2020104058A AU 2020104058 A AU2020104058 A AU 2020104058A AU 2020104058 A4 AU2020104058 A4 AU 2020104058A4
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unit
flow
pipeline
flow monitoring
lora
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AU2020104058A
Inventor
Shaik Vaseem AKRAM
Dharam Buddhi
Anita Gehlot
Rajesh Singh
Atul Kumar Singla
Amit Kumar THAKUR
Rajesh Verma
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Lovely Professional University
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Lovely Professional University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
    • G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
    • G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00—Protection or supervision of installations
    • F17D5/02—Preventing, monitoring, or locating loss
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • H04B1/3827—Portable transceivers

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)
  • Pipeline Systems (AREA)

Abstract

A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32 Disclosed is a real time monitoring system for pipelines using LoRa and ESP 32 which consists of a plurality of flow monitoring units, a pipeline data processing unit (201), and a cloud server (301). The present invention uses the controller unit (10) which receives sensory data from the flow rate sensor (11), the pipe pressure sensor (12) and the pipe thickness sensor (16), and controls the flow through the actuator (19) using the SSR relay (18). The sensory data communicates to the pipeline data processing unit (201) through the LoRa radio (14) communication which further uploads on the cloud server (301) and access through computing device using graphical user interface. [To be published with figure 1] 10 Applicant: Lovely Professional University Sheet No: 1/3 1 101 1 104 1 Flow monitoring 1 201 I Flow monitoring unit'1 Pipeline data - unit 'l processing Unit 1 102 1 1 105 Flow monitoring IFlowmonitoring Flomoitoin Flow munitor unit '2' Internet unit '2' ---------------- ........................... 1 -. 7 103 Flow monitoring unit 'n' Pie"ine _ ___Pipeline 'N' Figure 1 11

Description

Applicant: Lovely Professional University Sheet No: 1/3
1 101 1 104 1 Flow monitoring 1 201 I Flow monitoring unit'1 Pipeline data - unit 'l processing Unit
1 102 1 1 105 Flow monitoringFlomoitoin IFlowmonitoring Flow munitor unit '2' Internet unit '2' ---------------- ...........................
1 -. 7
103 Flow monitoring unit 'n'
Pie"ine _ ___Pipeline 'N'
Figure 1
EDITORIAL NOTE 2020104058
There are only 6 pages of Description
The following specification particularly describes the invention and the manner in which it is to be performed:
TECHNICAL FIELD
[001] The present invention herein relates to a system of monitoring pipelines, more particularly, to a real time monitoring system for pipelines using LoRa and ESP 32.
BACKGROUND
[002] Fluids such as natural gas, oil are transported over long distances through varying geographical and weather differing areas. Nowadays, due to increased environmental awareness it is important to measure the probability of leak along the pipeline, pressure, flow and other parameters.
[003] To calculate different parameters related pipeline, human intervention is required and it leads to time consuming process.
[004] US4796466A, discloses a system for monitoring pipelines and other fluid pressurized vessels which generates an alarm when reaches to threshold level. However, this invention requires display device to monitor the information.
[005] W02017011850A1, discloses a system and method for assessing the condition of a pipeline and pressure wave interaction signals determines location of interaction signals with respect to generation location. However, this invention does not provide the real time information.
[006] US3903729A, discloses apparatus for detecting a break or other occurrence in a gas pipeline by detecting adiabatic pressure wave generated in the gas with speed of sound. However, this invention involves manual operation to check the break in the pipeline.
[0071 US4106099A, discloses an improved monitor system which involves measurement stations and measures data related to fluid flowing through said fluid flow path and stores information in memory. However, this invention uses for calculating the amount of fluid and related losses.
[0081 The above mentioned prior art states that there is a need for a system which provides real time information related to the pipelines of oil or gas and uploads on the cloud server for further analysis.
[009] The present invention addresses the above mentioned short comings of the prior art.
SUMMARY
[0010] The summary as given below.
[0011] The present invention is a system for real time monitoring of gas and oil pipelines using LoRa radio and ESP 32 module.
[0012] In one implementation, the present invention consists of a plurality of flow monitoring units, a pipeline data processing unit, and a cloud server.
[0013] In one implementation, the plurality of flow monitoring units deploys for pipeline monitoring and uses flow rate sensor, pipe pressure sensor, pipe thickness sensor which sends data to the controller unit, and display unit.
[0014] In another implementation, the SSR relay controls the flow of gas or oil using an actuator.
[0015] In another implementation, the flow monitoring units receives the sensory data from the sensors and communicates to the pipeline data processing unit through the LoRa communication.
[0016] In another implementation, the sensory data uploads on the cloud server using internet connectivity.
[00171 In the present implementation, provides real time monitoring of the sensory data and uploads on the cloud server for accessing through computing device using graphical user interface.
[0018] In one implementation, the power supply unit provides power to the controller unit.
[0019] In another implementation, tracks the refinery flow speed, pipe thickness and pipe pressure using internet.
BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The foregoing detailed description of embodiments is better understood when read in conjunction with the attached drawings. For better understanding each component is given a specific number which is further illustrated as reference number for the components used with the figure.
[0021] Figure 1, illustrates architecture for pipeline monitoring of the present invention.
[0022] Figure 2, illustrates block diagram of flow monitoring unit of the present invention.
[0023] Figure 3, illustrates block diagram of pipeline data processing unit of the present invention.
[0024] The figures depict an embodiment of the present disclosure for the purpose of illustration and understanding only.
DETAILED DESCRIPTION
[0025] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail.
[0026] In one implementation, provides a system for real time monitoring of the pipeline (gas or oil) through the cloud server.
[00271 The disclosure herein, uses sensors which measures flow rate, pipeline thickness and pipe pressure and communicates sensory data to the pipeline data processing unit which further uploads on cloud server for further analysis.
[0028] In one embodiment, the present invention consists of a plurality of flow monitoring units, a pipeline data processing unit (201), and a cloud server (301).
[0029] In other embodiment, the plurality of flow monitoring units deploys in pipeline for real time monitoring.
[0030] In another embodiment, the flow monitoring units communicates the sensory data to the pipeline data processing unit (201) through LoRa communication.
[0031] In another embodiment, the pipeline data processing unit (201) uploads the sensory data on the cloud server (301) using internet.
[0032] In another embodiment, the flow monitoring unit (201) consists of a controller unit (10), flow rate sensor (11), Pipe pressure sensor (12), display unit (13), LoRa radio (14), power supply unit (15), pipe thickness sensor (16), SSR relay (18) and actuator (19).
[0033] In another embodiment, the flow rate sensor (11), measures the flow rate of the oil and gas.
[0034] In another embodiment, the pipe pressure sensor (12), measures the pressure exert inside the pipeline.
[0035] In another embodiment, the pipe thickness sensor (16), measures the thickness of pipe.
[0036] In another embodiment, controller unit (10) receives sensory data from the flow rate sensor (11), the pipe pressure sensor (12) and the pipe thickness sensor (16).
[00371 In another embodiment, controls the flow through the actuator (19) using the SSR (Solid State Relay) relay (18).
[00381 In another embodiment, the power supply unit (15) provides power to the controller unit (10).
[0039] In another embodiment, the display unit (13) displays the sensory data.
[0040] In another embodiment, the sensory data communicates to the pipeline data processing unit (201) through the LoRa radio (14) communication.
[0041] In other embodiment, the pipeline data processing unit (301) consists of a controller unit (20), LoRa radio (21), ESP 32 module (22) and power supply (23).
[0042] In another embodiment, the power supply (23) provides power to the controller unit (20).
[0043] In another embodiment, the LoRa radio (21) provides long range communication.
[0044] In another embodiment, the ESP 32 module (22) provides communication over Wi-Fi.
[0045] In another embodiment, the controller unit (20) receives sensory data through the LoRa radio (21).
[0046] In another embodiment, sensory data uploads on the cloud server (301) through the ESP 32 module (22) over internet.
[00471 In the present embodiment, the cloud server (301) data monitors in graphical user interface form by authorities using computing device.
[0048] In an exemplary embodiment, the controller unit (10) receives sensory data from the flow rate sensor (11), the pipe pressure sensor (12) and the pipe thickness sensor (16), and controls the flow through the actuator (19) using the SSR relay (18). The sensory data communicates to the pipeline data processing unit (201) through the LoRa radio (14) communication which further uploads on the cloud server (301).
[00491 In another embodiment, provides real time monitoring of the refinery flow speed, pipe thickness and pipe pressure using internet.
[00501 Referring to figure 1, illustrates the architecture for pipeline monitoring in which the plurality of flow monitoring units deploys in pipelines which communicates sensory data to the pipeline data processing unit (201) and uploads on the cloud server (301) for further analysis.
[00511 Referring to figure 2, illustrates block diagram of flow monitoring unit in which the controller unit (10) receives sensory data from the flow rate sensor (11), the pipe pressure sensor (12) and the pipe thickness sensor (16), and controls the flow through the actuator (19) using the SSR relay (18), and displays on the display unit (13) as well as communicates through the LoRa radio (14).
[0052] Referring to figure 3, illustrates block diagram of pipeline data processing unit in which the controller unit (20) receives sensory data through the LoRa radio (21) and uploads on the cloud server (301) through the ESP 32 module (22) over internet.
[0053] In another embodiment, provides real time monitoring of the refinery flow speed, pipe thickness and pipe pressure using internet.
[00541 Some of the embodiments may be further upgraded upon the study performed further.

Claims (10)

We claim:
1. A real time monitoring system for pipelines using LoRa and ESP 32 consists of: a. a plurality of flow monitoring units, deploys in pipelines; b. a pipeline data processing unit (201); and c. a cloud server (301).
2. The system as claimed in claim 1, wherein the flow monitoring unit consists of; a. a controller unit (10); b. a flow rate sensor (11), measures the flow rate of the oil and gas; c. a pipe pressure sensor (12), measures the pressure exert inside the pipeline; d. a display unit (13), displays the sensory data; e. a LoRa radio (14), provides long range communication; f. a power supply unit (15), provides power to the controller unit (10);
g. a pipe thickness sensor (16), measures the thickness of pipe; h. a SSR relay (18), controls the flow through the actuator (19); and i. an actuator (19).
3. The system as claimed in claim 2, wherein the controller unit (10) receives sensory data from the flow rate sensor (11), the pipe pressure sensor (12) and the pipe thickness sensor (16).
4. The system as claimed in claim 2, wherein the controls the flow through the actuator (19) using the SSR relay (18).
5. The system as claimed in claim 2, wherein the sensory data communicates to the pipeline data processing unit (201) through the LoRa radio (14) communication.
6. The system as claimed in claim 1, wherein the pipeline data processing unit (201) consists of: a. a controller unit (20); b. a LoRa radio (21), for long range communication; c. an ESP 32 module (22), provides internet connectivity; and d. a power supply (23), provides power to the controller unit (20).
7. The system as claimed in claim 6, wherein the controller unit (20) receives sensory data through the LoRa radio (21).
8. The system as claimed in claim 6, wherein sensory data uploads on the cloud server (301) through the ESP 32 module (22) over internet.
9. The system as claimed in claim 1, wherein the cloud server (301) data monitors in graphical user interface form by authorities using computing device.
10. The system as claimed in claim 1, wherein provides real time monitoring of the refinery flow speed, pipe thickness and pipe pressure using internet.
Applicant: Lovely Professional University Sheet No: 1/3 2020104058
101 104 Flow monitoring Flow monitoring 201 unit ‘1’ unit ‘1 Pipeline data processing Unit
102 105 Flow monitoring Flow monitoring unit ‘2’ Internet unit ‘2’
301 Cloud Server 103 106 Flow monitoring Flow monitoring unit ‘n’ unit ‘n’
Pipeline ‘1’ Pipeline ‘N’
Figure 1
Dr. Dharam Buddhi Authorized Signatory Lovely Professional University
Applicant: Lovely Professional University Sheet No: 2/3 2020104058
Flow Monitoring Unit
13 18 19 Display unit SSR Relay Actuator 11 Flow Rate sensor 16 Pipe thickness 10 sensor 12 controller unit Pipe pressure sensor 14 LoRa Radio 15 Power Supply Unit
Figure 2
Dr. Dharam Buddhi Authorized Signatory Lovely Professional University
Applicant: Lovely Professional University Sheet No: 3/3 2020104058
301 Pipeline data processing unit
22 ESP 32 21 module LoRa Radio
20 Controller unit
23 Power supply
Figure 3
Dr. Dharam Buddhi Authorized Signatory Lovely Professional University
AU2020104058A 2020-12-14 2020-12-14 A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32 Ceased AU2020104058A4 (en)

Priority Applications (1)

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AU2020104058A AU2020104058A4 (en) 2020-12-14 2020-12-14 A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32

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AU2020104058A AU2020104058A4 (en) 2020-12-14 2020-12-14 A REAL TIME MONITORING SYSTEM FOR PIPELINES USING LoRa AND ESP 32

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