Description:Title of The Invention
IOT AND CLOUD BASED DEVICE FOR AUTOMATIC ALERT GENERATION FOR PERCOLATION
Field of the Invention
This invention relates to IoT and cloud based device for automatic alert generation for percolation
Background of the Invention
CN211133067U: The utility model discloses a percolation extraction system, wherein the top of a percolation tank is provided with a feed inlet, the bottom of the percolation tank is provided with a discharge outlet, a demister is arranged beside the feed inlet, the gas outlet end of the demister is communicated with the inlet end of a condenser, the outlet end of the condenser is communicated with the liquid inlet end of an oil-water separator, and the liquid outlet end of the oil-water separator is communicated with the percolation tank; the outer wall of the percolation tank is coated by the jacket heating device, the jacket heating device is coated by the heat-preservation jacket, low-pressure steam is introduced into the jacket heating device, and the low-pressure steam after heating circulation is condensed and discharged from the first steam outlet and the second steam outlet, so that the percolation tank has the functions of heating and heat preservation; the filter, the vacuum evaporator and the booster pump are used for assisting, so that the extracting solution obtained after the extraction in the percolation tank is filtered and evaporated again, the concentrated solution after the filtration and the evaporation is discharged to the medicine tank, and meanwhile, the solvent escaping in the evaporation process can be transferred to the percolation tank or the solvent tank through the booster pump after being cooled.
CN100342839C: The present invention relates to a traditional Chinese medicine preparation process and a complete set of equipment thereof. The preparation process has the steps of extraction (I) solid-liquid separation (II) heating sterilization (III) and vacuum concentration (IV) which are orderly carried out. The complete set of equipment comprises extraction equipment (A), solid-liquid separation equipment (B), sterilization equipment (C) and vacuum condensation equipment (D) which are orderly connected through liquid feed pipelines. The processes of extracting active ingredients in traditional Chinese medicine raw materials, separating impurities in physic liquor, sterilizing the physic liquor and concentrating the physic liquor can be continuously accomplished in one time, dried powder or thick paste can be respectively produced and obtained according to requirements, and the present invention has the advantages of high equipment automation degree, high production efficiency, low energy consumption, convenient cleaning, low bacterium content (of products obtained in the production) and stable quality of the products.
CN110124350A: The invention discloses a kind of extract equipments, comprising: condensing unit;And extractor, the extractor include: the first tank body, and Extraction solvent is adapted to fit into first tank body, the Extraction solvent is suitable for being heated to form solvent vapo(u)r;Second tank body is located at the first tank body upper layer, is adapted to fit into material in second tank body, and the top of second tank body is connected to the condensing unit;And steam lead, it is connected to respectively with first tank body and the second tank body, and be suitable for the intracorporal solvent vapo(u)r of the first tank being delivered to the second tank body, extracts the material formation leaching liquor so that solvent vapo(u)r is back in the second tank body after condensing unit condensation;Wherein, when the intracorporal leaching liquor of the second tank reaches predetermined altitude, the leaching liquor can be operated and imported in first tank body. Extract equipment of the invention, it is only necessary to once put into Extraction solvent, be able to achieve Extraction solvent is cyclically updated and extracts material, and abstraction process is simple, and Extraction solvent loss is low.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is limited to the traditional percolator in which real time monitoring is not possible. This invention changes the process but they have used the same traditional percolator.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The purposed percolation system which consists of percolator (1,2,3) , sensor node (1,2,3) , Wi-Fi system (5,6,7) , computing unit (14) , Temperature sensor (9) , AI model (10) , Electrical power supply (11) , buzzer (12) and the cloud server (4) . Percolator (1, 2, and 3) is an equipment used for the extraction of chemical constituents. Temperature sensor (9) indicates the temperature of the process. Electrical Power supply (11) is used for supplying electric current to the computing unit. Buzzer (12) sounds the completion of extraction. AI model (10) is used for data collection of the percolation, for example, difference between initial and final weight. Cloud server (4) collects all the information of all the system. AI based percolation in which a sensor node is applied to basic percolator used for percolation process. Percolator consists of menstrual (solvent), drug, cotton wool, sand, filter paper and sensor node. Sensor node is adjoin to container which detects the completion of the process when there is no more change in the weight of extract. Percolator is connected to sensor node which consists of different types of sensor such as weight sensor, temperature sensor etc. When the percolation occurs in the percolator, the extract is collected into the container which is connected to a sensor note. When the extract is getting collected, there is an increase in the weight of the final container. But when the process comes to an end, there is no increment in the weight at the completion of the task. Then the weight sensor detects that there is no change in the weight. Then it sends information to the computing unit which orders buzzer to create sound in order to indicate the completion of task. Computing unit with the help of AI model collects and saves data in the cloud server for the further use.
This system can also be applied to multipercolation system in which different percolators are applied to the sensor node and all the information of the different systems can be collected in a single cloud server. The data can be used for the comparison purposes.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein: Fig 1 and Fig 2 illustrates the purposed percolation system which consists of percolator (1,2,3) , sensor node (1,2,3) , Wi-Fi system (5,6,7) , computing unit (14) , Temperature sensor (9) , AI model (10) , Electrical power supply (11) , buzzer (12) and the cloud server (4) . Percolator (1, 2, and 3) is an equipment used for the extraction of chemical constituents. Temperature sensor (9) indicates the temperature of the process. Electrical Power supply (11) is used for supplying electric current to the computing unit. Buzzer (12) sounds the completion of extraction. AI model (10) is used for data collection of the percolation, for example, difference between initial and final weight. Cloud server (4) collects all the information of all the system. Figure 3 is a description of AI based percolation in which a sensor node is applied to basic percolator used for percolation process. Percolator consists of menstrual (solvent), drug, cotton wool, sand, filter paper and sensor node. Sensor node is adjoin to container which detects the completion of the process when there is no more change in the weight of extract. Percolator is connected to sensor node which consists of different types of sensor such as weight sensor, temperature sensor etc. When the percolation occurs in the percolator, the extract is collected into the container which is connected to a sensor note. When the extract is getting collected, there is an increase in the weight of the final container. But when the process comes to an end, there is no increment in the weight at the completion of the task. Then the weight sensor detects that there is no change in the weight. Then it sends information to the computing unit which orders buzzer to create sound in order to indicate the completion of task. Computing unit with the help of AI model collects and saves data in the cloud server for the further use.
This system can also be applied to multipercolation system in which different percolators are applied to the sensor node and all the information of the different systems can be collected in a single cloud server. The data can be used for the comparison purposes.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Percolation is an extraction process used for the extraction of different chemical constituents present in the herbal materials and that are meant to have important therapeutic value used for treating different types of acute and chronic diseases. The extraction is the first and crucial step in the development of herbal based medicine. However, the percolation is really time taking process, one must to wait for the completion of the process. This results in wastage of time. Also, this invention can tell us the correct amount of time for the extraction. This invention can also help to determine the amount of extract obtained by the process. All the essential data from the process including time, weight etc. will be saved in the cloud server automatically which can be used for further research. In this system, we have purposed the system of real time monitoring of the percolation system which is used to extract the chemical constituents of the herbal plants which are of therapeutic value. Real time monitoring involves connecting weight sensor to the percolator which indicates the weight change of the extract and thus, indicates the completion of the percolation.
Fig 1 and Fig 2 illustrates the purposed percolation system which consists of percolator (1,2,3) , sensor node (1,2,3) , Wi-Fi system (5,6,7) , computing unit (14) , Temperature sensor (9) , AI model (10) , Electrical power supply (11) , buzzer (12) and the cloud server (4) . Percolator (1, 2, and 3) is an equipment used for the extraction of chemical constituents. Temperature sensor (9) indicates the temperature of the process. Electrical Power supply (11) is used for supplying electric current to the computing unit. Buzzer (12) sounds the completion of extraction. AI model (10) is used for data collection of the percolation, for example, difference between initial and final weight. Cloud server (4) collects all the information of all the system. Figure 3 is a description of AI based percolation in which a sensor node is applied to basic percolator used for percolation process. Percolator consists of menstrual (solvent), drug, cotton wool, sand, filter paper and sensor node. Sensor node is adjoin to container which detects the completion of the process when there is no more change in the weight of extract. Percolator is connected to sensor node which consists of different types of sensor such as weight sensor, temperature sensor etc. When the percolation occurs in the percolator, the extract is collected into the container which is connected to a sensor note. When the extract is getting collected, there is an increase in the weight of the final container. But when the process comes to an end, there is no increment in the weight at the completion of the task. Then the weight sensor detects that there is no change in the weight. Then it sends information to the computing unit which orders buzzer to create sound in order to indicate the completion of task. Computing unit with the help of AI model collects and saves data in the cloud server for the further use.
This system can also be applied to multipercolation system in which different percolators are applied to the sensor node and all the information of the different systems can be collected in a single cloud server. The data can be used for the comparison purposes.
, C , Claims:We Claim:
1. An IoT and cloud based device for automatic alert generation for percolation comprises percolator (1,2,3), sensor node (1,2,3), Wi-Fi system (5,6,7), computing unit (14), Temperature sensor (9) , AI model (10) , Electrical power supply (11) , buzzer (12) and the cloud server (4).
2. The device as claimed in claim 1, wherein app is available in mobiles and desktops AI based percolation.
3. The device as claimed in claim 1, wherein temperature sensor (9) indicates the temperature of the process; and Electrical Power supply (11) is used for supplying electric current to the computing unit; and Buzzer (12) sounds the completion of extraction.
4. The device as claimed in claim 1, wherein AI model (10) is used for data collection of the percolation, difference between initial and final weight; and Cloud server (4) collects all the information of all the system.
5. The device as claimed in claim 1, wherein AI based percolation in which a sensor node is applied to basic percolator used for percolation process.
6. The device as claimed in claim 1, whereinPercolator consists of menstrual (solvent), drug, cotton wool, sand, filter paper and sensor node; and Sensor node is adjoining to container which detects the completion of the process when there is no more change in the weight of extract.
7. The device as claimed in claim 1, whereinPercolator is connected to sensor node which consists of different types of sensor such as weight sensor, temperature sensor.
8. The device as claimed in claim 1, whereinWhen the percolation occurs in the percolator, the extract is collected into the container which is connected to a sensor note.
9. The device as claimed in claim 1, whereinWhen the extract is getting collected, there is an increase in the weight of the final container; and when the process comes to an end, there is no increment in the weight at the completion of the task.
10. The device as claimed in claim 1, whereinthe weight sensor detects that there is no change in the weight; and it sends information to the computing unit which orders buzzer to create sound in order to indicate the completion of task; and Computing unit with the help of AI model collects and saves data in the cloud server for the further use.