WO2023014306A1 - Artificial intelligence-based multifunctional smart sensor technology - Google Patents
Artificial intelligence-based multifunctional smart sensor technology Download PDFInfo
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- WO2023014306A1 WO2023014306A1 PCT/TR2021/050769 TR2021050769W WO2023014306A1 WO 2023014306 A1 WO2023014306 A1 WO 2023014306A1 TR 2021050769 W TR2021050769 W TR 2021050769W WO 2023014306 A1 WO2023014306 A1 WO 2023014306A1
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- WIPO (PCT)
- Prior art keywords
- rechargeable battery
- battery
- temperature
- pipeline
- wireless sensor
- Prior art date
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- 238000013473 artificial intelligence Methods 0.000 title claims description 11
- 238000005516 engineering process Methods 0.000 title description 7
- 238000001816 cooling Methods 0.000 claims abstract description 11
- 239000012530 fluid Substances 0.000 claims description 18
- 239000000463 material Substances 0.000 claims description 17
- 238000001514 detection method Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000007405 data analysis Methods 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000006403 short-term memory Effects 0.000 claims description 6
- 230000033001 locomotion Effects 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000036962 time dependent Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000011109 contamination Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000009529 body temperature measurement Methods 0.000 claims description 2
- 239000000919 ceramic Substances 0.000 claims description 2
- 238000013277 forecasting method Methods 0.000 claims description 2
- 238000009413 insulation Methods 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 description 7
- 239000007788 liquid Substances 0.000 description 4
- 238000004806 packaging method and process Methods 0.000 description 4
- 239000003208 petroleum Substances 0.000 description 4
- 239000004753 textile Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000007257 malfunction Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 239000004809 Teflon Substances 0.000 description 1
- 229920006362 Teflon® Polymers 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000012815 thermoplastic material Substances 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16T—STEAM TRAPS OR LIKE APPARATUS FOR DRAINING-OFF LIQUIDS FROM ENCLOSURES PREDOMINANTLY CONTAINING GASES OR VAPOURS
- F16T1/00—Steam traps or like apparatus for draining-off liquids from enclosures predominantly containing gases or vapours, e.g. gas lines, steam lines, containers
- F16T1/38—Component parts; Accessories
- F16T1/48—Monitoring arrangements for inspecting, e.g. flow of steam and steam condensate
Abstract
The invention relates of a wireless sensor system without battery or with rechargeable battery that can be used on steam traps, heat exchangers, pump, cooling tower, discharge valve and similar industrial systems (A) in different industrial areas, and checks the proper functioning of the steam traps (2) used at regular intervals on a pipeline (1 ).
Description
ARTIFICIAL INTELLIGENCE-BASED MULTIFUNCTIONAL SMART SENSOR TECHNOLOGY
Technical Field
The invention relates to an artificial intelligence based wireless sensor technology, without battery/with rechargeable battery that can produce its own energy and can be used in different industrial fields (energy, petroleum & gas, textile, pharmaceutical industry, food & drinks, packaging, chemistry, paper, etc.).
State of the Art
There are wireless sensor systems today used in different industrial fields (energy, petroleum & gas, textile, pharmaceuticals, food & drinks, packaging, chemistry, paper, etc.). One of these is the wireless sensor system that checks whether steam trap, heat exchanger, pump, cooling tower, discharge valve and similar industrial systems used on the steam lines work properly and notify a server via wireless communication in the case of a defect. However, the most important disadvantage of these wireless sensor systems is that they are battery operated. The batteries provide the energy required for the sensor system to work, however; the battery life expires at the end of a certain period and the sensor system becomes nonfunctional. Furthermore, to extend the battery life, data cannot be received constantly, and instantaneous monitoring cannot be fully achieved. When the battery life expires, a new battery is bought and mounted instead of the defective battery. However, two important problems emerge at this stage. The first one is the fact that battery change costs (craftsmanship, etc.) and battery costs are very high. The battery lives expire in a shorter time than projected due to the temperature, vibration or noises in the environment, and the data transmission of the wireless sensors to the system does not continue during power outages. As the industrial products such as steam traps, which are of critical importance, must be constantly monitored, this power outage causes damage to both the product being measured and other products. Considering that hundreds or even thousands of steam traps can be used on a steam line and at least one sensor is used for each steam trap, very high sensor and battery costs would emerge.
Another problem is that it is not possible to instantly monitor whether the sensor is working or not in the case that the battery runs out. When the battery runs out, the sensor becomes dysfunctional and significant losses can occur until it is noticed that it does not work. To name it, for example, steam traps are used at certain intervals on high temperature steam lines. Steam traps provide the function of holding the condensed water (liquid) in the steam passing through the pipeline and obtaining pure steam. Steam traps work by opening and closing like a valve, and meanwhile emit ultrasonic sounds at certain frequencies. Condensed liquids in high temperature and pressurized steam are held by steam traps, preventing them from moving in the line and damaging the system (steam turbine, etc.). In the current art, at least one wireless sensor is connected to the pipeline, usually before the steam trap with the help of a clamp. Wireless sensors measure the surface temperature on the pipeline or detect the sound-vibrations and transmit the information on whether the steam trap is working properly or not to a center through wireless communication. However, as these sensors use batteries, they become dysfunctional after a certain period of time and replacing the battery is required. Until this situation is detected, the steam trap becomes dysfunctional and the condensed liquids in the pipeline pose a great risk to the system. In the state of the art, wireless sensors are powered by batteries and have short operating lifetimes, limited data exchange and high replacement costs.
Steam trap maintenance is also disrupted when the sensors fail to function. Steam traps that cannot be maintained break down quickly and requires replacement with a new one. As the steam trap costs are also very high (the cost of a steam trap varies between 300 Euro and 10.000 Euro), significant financial losses occur.
In the research made in the literature, the document numbered US2017/033272 can be shown as an example of a thermoelectric device. Said document relates to a method for making a thermoelectric generator device and related devices. In this invention, each thermoelectric pair in said thermoelectric generator device comprises first and second columns of respective first and second conductivity types, first and second terminals connected to many sub-contacts, and a thermoplastic material. The thermoelectric generator device of the said invention, is only intended to generate electricity from the temperature difference. Therefore, its areas of use are limited.
Patent application publication numbered KR20060031268 (A) relates to a steam trap equipped with a temperature sensor. However, the temperature sensor works with a battery as mentioned above.
The document publication numbered CN203809843 (U) relates to a system that detects whether the steam trap valve is working with an ultrasonic sensor and warns the maintenance personnel by sending a signal to an alarm device in the case it does not work. The ultrasonic sensor used here also works with a battery.
PCT application numbered PCT/TR2019/050596 belonging to the same applicant relates to a flexible hybrid nanogenerator that produces electrical energy by converting temperature difference, vibration and motion into electrical energy.
Conclusively, the existence of the above problems and the insufficiency of the existing solutions made it necessary to make an improvement in the relevant technical field.
The Aim of the Invention
The present invention relates to artificial intelligence-based wireless sensor technology without battery/with rechargeable battery that can produce its own energy, which eliminates the disadvantages mentioned above and brings new advantages to the related technical field.
The main purpose of the invention is to develop an artificial intelligence-based wireless sensor technology without free/with rechargeable battery that can be used for different purposes in industrial fields (energy, petroleum & gas, textile, medicine, food & drinks, packaging, chemistry, paper, etc.).
Another aim of the invention is to develop a sensor technology that can generate the electrical energy required for the operation of the sensor system itself by converting the temperature difference and/or vibration and movement into electrical energy.
Another aim of the invention is to extend the operating life of the sensor system by converting it into a system without battery/ with rechargeable battery and to eliminate the costs required for battery replacements.
Another aim of the invention is to instantly detect the malfunctions that may occur in the sensor system by the help of the artificial intelligence-based data analysis and information space that works on a cloud and can be viewed on a smart device screen and alert the relevant persons/units.
Another aim of the invention is to prevent risks that may occur on the steam line due to the malfunction of the steam trap by instantaneously monitoring and warning the relevant persons/units by the help of the artificial intelligence-based data analysis and information area that can be viewed on a smart device screen.
Another aim of the invention is to ensure that it can be used easily in all areas and working conditions (high temperature, etc.) with ease of assembly as it has a flexible or rigid structure.
Another aim of the invention is to minimize the costs of steam trap replacement by ensuring that steam trap maintenance is carried out on time by extending the sensor's operating life.
Description of Drawings
Figure 1 is the perspective view of the sensor system of the invention, mounted on a steam line.
Figure 2 is a perspective view of the sensor system of the invention, mounted on a steam line from a different angle.
Figure 3 is the detailed perspective view of the thermoelectric material and the cooling fin.
Figure 4 is a representative perspective view when thermoelectric material and electromagnetic material are used together.
Figure 5 is a representative view showing the electronics inside the electronic circuit box.
Description of Part References
A. Industrial system
B. Artificial intelligence-based data analysis and information screen
1. Pipeline
2. Steam trap
3. Inlet clamp
4. Inlet thermometer
5. Outlet clamp
6. Outlet thermometer
7. Temperature transmission cable
8. Thermoelectric material
9. Cooling fin
9.1. Fin
10. Energy transmission cable
11. Electronic circuit box
12. Cover
13. Supercapacitor/Rechargeable battery
14. Microprocessor electronic board
15. Wi-fi module
16. Connector
17. Electromagnetic material
18. Vibration/Ultrasonic Sensor
Detailed Description of the Invention
The invention relates to an artificial intelligence based wireless sensor technology, without battery/with rechargeable battery that can produce its own energy and can be used on different industrial systems (A) (steam trap, exchanger, pump, cooling tower, discharge valve, etc.) in different industrial fields (energy, petroleum & gas, textile, pharmaceutical industry, food & drinks, packaging, chemistry, paper, etc.).
In Figure 1 and Figure 2 perspective views of the sensor system of the invention, mounted on a steam line is given from a different angle. A preferred embodiment of
the invention is representatively shown on a pipeline (1) with steam traps (2) thereon.
As seen in the figures, multiple steam traps (2) are used at regular intervals on a pipeline (1 ). Steam traps (2) provide the function of holding the condensed water (liquid) in the steam passing through the pipeline (1 ) and obtaining pure steam. To check whether the steam trap (2) works properly, at least one inlet thermometer (4) is fixed on the pipeline (1) before the steam trap (2) inlet and at least one outlet thermometer (6) is fixed on the pipeline (1 ) after the steam trap (2) outlet. The inlet thermometer (4) is fixed on the pipeline (1) by means of an inlet clamp (3). The outlet thermometer (6) is fixed on the pipeline (1) by means of an outlet clamp (5). The inlet thermometer (4) measures the temperature before the high-temperature fluid enters into the steam trap (2). The outlet thermometer (6), on the other hand, measures the temperature after the high-temperature fluid leaves the steam trap (2). Relevant temperature values are transmitted to the microprocessor electronic board (14) in an electronic circuit box (11 ) that controls the system by the help of a temperature transmission cable (7). Through the LoraWAN in the electronic circuit box (11 ), the relevant input and output temperature values are sent over the Wi-fi module (15) instantaneously to an artificial intelligence-based data analysis and information screen (B) running on a smart device, thereby notified to the authorized persons/units as graphically and/or numerically values. Abnormal increases or decreases that may occur in values can be detected instantaneously, and whether the steam trap (2) is defective, leaks of it, water hammers, and the need for maintenance can be detected quickly.
The energy required for the operation of electronic equipment such as the microprocessor electronic board (14) and the Wi-fi module (15) is provided by a Supercapacitor/rechargeable battery (13) in the electronic circuit box (11 ). The Supercapacitor/rechargeable battery (13), on the other hand, can provide energy with a thermoelectric material (8) and/or electromagnetic material (17) or solar panel mounted on the pipeline (1 ). Thermoelectric material (8) that generates electrical energy from the temperature difference by means of a cooling fin (9) having multiple fins (9.1) and is located on a flexible or rigid surface is used.
Alternatively, electromagnetic material (17) that generates electrical energy from the vibration and motion energy on the pipeline (1) can be used in pipelines (1) operating
at high temperatures. Or, by using both thermoelectric material (8) and electromagnetic material (17) together, electrical energy can be produced from both temperature difference and vibration and motion energy.
The energy needed by the system is supplied by feeding the generated electrical energy continuously to the Supercapacitor/rechargeable battery (13) over an energy transmission cable (10). The electrical energy requirement can be obtained by using the temperature difference between the temperature on the pipeline (1 ) and the temperature on the cooling fin (9). Similarly, the high temperature and pressure fluid passing through the pipeline (1) is converted into electrical energy by means of the electromagnetic material (17), and thereby electrical energy is fed into and stored in the Supercapacitor/rechargeable battery (13). Therefore, the electrical energy of the system is covered by the system itself, and situations like battery depletion are eliminated.
The thermoelectric material (8) and the cooling fin (9) are fixed to each other with connectors (16). In order to partially or completely prevent heat exchange between the thermoelectric material (8) and the cooling fin (9), preferably ceramic or Teflon coated connectors (16) with high thermal insulation properties are used. By this way, the energy production efficiency of the system is increased.
By means of the sensor system, steam leakage alarm, maintenance cost calculation, energy recovery and status report, and maintenance plan notification can be made. By means of the artificial intelligence algorithm used, data analysis can be made, possible errors and risks can be detected in advance and the system is allowed to learn by itself.
In the system of the invention, clogging, unsuccessful operation, component failure, and contamination percentage calculations can be made over the system threshold values monitoring the system heat transfer and time dependent pressure drop obtained by the proportional monitoring of the primary fluid and secondary fluid measurement obtained by making temperature measurements at the inlet and outlet of the steam trap/heat exchanger/drainage valves (2). To detect abnormal conditions in fluid temperature values mathematical modelling (Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting Method) is used.
By means of the system and method of the invention, leakage, malfunction, contamination, and maintenance times on the steam trap/heat exchanger/drain valve (2) are estimated over the fluid temperatures, and interpretations can be made with a mathematical algorithm depending on the continuous monitoring time series.
With the Vibration Sensor/Ultrasonic Sensor (18) placed in the system of the invention, it is possible to detect the water hammers on the devices at certain threshold values and notification is made with time-dependent temperature values by mathematical modelling (Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting) and according to the threshold values.
In the system of the invention, interpretation and notification are provided by making calculations according to the values of the data analysis thermodynamic equations, and analysis is made with autoencoder network for anomaly detection (LSTM) and the failure situations are reported.
The system of the invention reports the failure conditions by comparatively analyzing the data in the time period depending on the fluid temperatures in the steam trap (2), the fluid inlet and outlet temperature ratios and the Vibration/Ultrasonic Sensor (18) data with Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting.
The method applies combined matrix solutions according to fluid temperature values in critical equipment and provides notifications with LSTM autoencoder network for anomaly detection.
Claims
9
CLAIMS Wireless sensor system without battery or with rechargeable battery that can be used on steam traps, heat exchangers, drain valves of drainage valves and similar industrial systems (A) in different industrial areas, and especially checks the proper functioning of the steam traps (2) used at regular intervals on a pipeline (1), characterized in that; it comprises
- at least one inlet thermometer (4) fixed on the pipeline (1) before the steam trap (2) inlet to measure the temperature before the high- temperature fluid enters the steam trap (2),
- at least one outlet thermometer (6) fixed on the pipeline (1) after the steam trap (2) outlet to measure the temperature after the high- temperature fluid leaves the steam trap
(2),
- a microprocessor electronic board (14) on which the relevant input and output temperature values are transmitted,
- a Wi-fi module (15) that provides notification to authorized persons/units as graphical and/or numerical values by wireless transfer of the relevant input and output temperature values to an artificial intelligence-based data analysis and information screen (B) running on a smart device instantly,
- at least one supercapacitor/rechargeable battery (13) that provides the electrical energy necessary for the operation of electronic equipment such as microprocessor electronic board (14) and LoraWAN and Wi-fi module (15),
- to supply electrical energy to the supercapacitor/rechargeable battery (13); thermoelectric material (8) mounted on the pipeline (1) and generating electrical energy from the temperature difference between itself and a cooling fin (9) and/or electromagnetic material (17) generating electrical energy from the vibration and motion energy on the pipeline (1). The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises an inlet clamp (3) that fixes the inlet thermometer (4) onto the pipeline (1).
3. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; the system comprises an outlet clamp (5) that fixes the outlet thermometer (6) onto the pipeline (1).
4. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises a temperature transmission cable (7) that transmits the relevant temperature values measured by the inlet thermometer (4) and the outlet thermometer (6) to the microprocessor electronic board (14) inside an electronic circuit box (11 ).
5. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises an electronic circuit box (11 ) containing the supercapacitor/rechargeable battery (13), microprocessor electronic board (14) and the Wi-fi module (15).
6. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises a cooling fin (9) placed on a flexible or rigid surface and containing multiple fins (9.1 ).
7. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises an energy transmission cable (10) that ensures the continuous transmission of the generated electrical energy to the supercapacitor/rechargeable battery (13).
8. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises ceramic connectors (16) preferably with high insulation properties to partially or fully prevent the heat exchange between the thermoelectric material (8) and the fin (9).
9. The wireless sensor system without battery or with rechargeable battery according to Claim 1 , characterized in that; it comprises vibration/ultrasonic sensor (18) placed on the microprocessor electronic board (14).
10. The method realized by the wireless sensor system without battery or with rechargeable battery that can be used on steam traps, heat exchangers, drain valves of drainage valves and similar industrial systems (A) in different industrial areas, and especially checks the proper functioning of the steam
11 traps (2) used at regular intervals on a pipeline (1), characterized in that; it comprises
- calculations of clogging, unsuccessful operation, component failure, contamination percentage over the system threshold values by monitoring the system heat transfer, time dependent pressure drop depending on the proportional monitoring of the primary fluid and secondary fluid measurement by making temperature measurements at the inlet and outlet of the steam trap (2) or heat exchanger or drainage valves,
- use of mathematical modelling method (Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting Method) to detect abnormal conditions in fluid temperature values.
11. The method according to Claim 10, characterized in that; a notification is provided with detection of the water hammers on the devices by the vibration sensor/ultrasonic sensor (18) placed in the system at certain threshold values and mathematical modelling (Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting) with time-dependent temperature values and according to the threshold values.
12. The method according to Claim 10, characterized in that; it reports the failure conditions by comparatively analyzing the data in the time period depending on the fluid temperatures in the steam trap (2), heat exchanger, drainage valve and the fluid inlet, outlet temperature ratios and the vibration/ultrasonic sensor (18) with Multivariate Anormaly Detection Using Long Short Term Memory (LSTM) Network For Forecasting.
13. The method according to Claim 10, characterized in that; it provides notification with LSTM Autoencoder Network For Anomaly Detection by applying the combined matrix solutions according to fluid temperature values in critical equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/TR2021/050769 WO2023014306A1 (en) | 2021-08-04 | 2021-08-04 | Artificial intelligence-based multifunctional smart sensor technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/TR2021/050769 WO2023014306A1 (en) | 2021-08-04 | 2021-08-04 | Artificial intelligence-based multifunctional smart sensor technology |
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| Publication Number | Publication Date |
|---|---|
| WO2023014306A1 true WO2023014306A1 (en) | 2023-02-09 |
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ID=85156056
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/TR2021/050769 WO2023014306A1 (en) | 2021-08-04 | 2021-08-04 | Artificial intelligence-based multifunctional smart sensor technology |
Country Status (1)
| Country | Link |
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| WO (1) | WO2023014306A1 (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0994399A2 (en) * | 1998-10-15 | 2000-04-19 | T L V Co., Ltd. | Monitoring system with power supply built therein |
| US20140352749A1 (en) * | 2011-06-29 | 2014-12-04 | Rosemount Inc. | Integral thermoelectric generator for wireless devices |
-
2021
- 2021-08-04 WO PCT/TR2021/050769 patent/WO2023014306A1/en unknown
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0994399A2 (en) * | 1998-10-15 | 2000-04-19 | T L V Co., Ltd. | Monitoring system with power supply built therein |
| US20140352749A1 (en) * | 2011-06-29 | 2014-12-04 | Rosemount Inc. | Integral thermoelectric generator for wireless devices |
Non-Patent Citations (1)
| Title |
|---|
| PANKAJ MALHOTRA; ANUSHA RAMAKRISHNAN; GAURANGI ANAND; LOVEKESH VIG; PUNEET AGARWAL; GAUTAM SHROFF: "LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection", ARXIV, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 1 July 2016 (2016-07-01), 201 Olin Library Cornell University Ithaca, NY 14853 , pages 1 - 5, XP080711385 * |
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