WO2023279181A1 - Equipamento de processamento de resíduos de alimentos e método de operação de equipamento de processamento de resíduos de alimentos - Google Patents
Equipamento de processamento de resíduos de alimentos e método de operação de equipamento de processamento de resíduos de alimentos Download PDFInfo
- Publication number
- WO2023279181A1 WO2023279181A1 PCT/BR2022/050248 BR2022050248W WO2023279181A1 WO 2023279181 A1 WO2023279181 A1 WO 2023279181A1 BR 2022050248 W BR2022050248 W BR 2022050248W WO 2023279181 A1 WO2023279181 A1 WO 2023279181A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- food waste
- water
- processing equipment
- data processing
- processing unit
- Prior art date
Links
- 239000010794 food waste Substances 0.000 title claims abstract description 202
- 238000012545 processing Methods 0.000 title claims abstract description 132
- 238000000034 method Methods 0.000 title claims abstract description 35
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 153
- 230000029087 digestion Effects 0.000 claims description 40
- 238000010438 heat treatment Methods 0.000 claims description 40
- 238000005259 measurement Methods 0.000 claims description 28
- 230000004913 activation Effects 0.000 claims description 17
- 238000002156 mixing Methods 0.000 claims description 17
- 238000005457 optimization Methods 0.000 claims description 12
- 230000007246 mechanism Effects 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 230000003213 activating effect Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000010801 machine learning Methods 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 10
- 239000002699 waste material Substances 0.000 description 10
- 238000012544 monitoring process Methods 0.000 description 8
- 235000013305 food Nutrition 0.000 description 7
- 238000005303 weighing Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000004071 biological effect Effects 0.000 description 2
- 235000008429 bread Nutrition 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
- 235000012054 meals Nutrition 0.000 description 2
- 230000002787 reinforcement Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 235000021152 breakfast Nutrition 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000008236 heating water Substances 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000003973 irrigation Methods 0.000 description 1
- 230000002262 irrigation Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 239000010813 municipal solid waste Substances 0.000 description 1
- 235000019645 odor Nutrition 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B09—DISPOSAL OF SOLID WASTE; RECLAMATION OF CONTAMINATED SOIL
- B09B—DISPOSAL OF SOLID WASTE NOT OTHERWISE PROVIDED FOR
- B09B3/00—Destroying solid waste or transforming solid waste into something useful or harmless
Definitions
- the invention in question refers to a food waste processing equipment and, more particularly, a food waste processing equipment that, able to operate on an industrial scale, has its operation guided by input variables and by "machine learning", preferably using the concept of "reinforcement learning”.
- the invention in question also refers to the method of operation of food waste processing equipment, which is premised on optimizing the equipment operating variables based on variables related to food waste.
- the first technological field is integrated by food waste processing equipment known as mechanical biodigesters.
- the “digestion” chamber also comprises, in its lower portion, a fine mesh sieve, and all "digested” material decants and passes through the sieve, then being accumulated in a retention chute whose output is controlled by a discharge valve. to dispose of the liquid extracted from the process.
- the patent document WO2015199885 basically describes a food waste processing station integrated by a storage tank, a water inlet and a mixer the food waste disposed in the storage tank.
- the food waste processing station further comprises a scale capable of detecting the weight of the food waste before it is mixed, a controller connected to and in communication with the scale, and a remote module that is in communication with the controller and is capable of to calculate, based on the detected weight, a total amount of food waste mixed by and received by the storage tank over a predetermined time.
- the patent document US9977414 basically describes a food waste disposal equipment that, in addition to the trivial components (mixer, scale, among others), is also integrated by a microprocessor and a connection in data communication with an analytical cloud .
- This connection allows the equipment to transmit status code (success or failure, basically) and amount of garbage to centralized databases that can provide reports to an end user.
- the second technological field refers to computational equipment for measuring or monitoring food waste.
- this technological field is made up of computational equipment that, never related to machines capable of "digesting" food waste, are intended to generate statistical data regarding the misuse of food resources.
- Patent documents BR1120160243005 and US7415375 describe examples of technical solutions belonging to this second technological field.
- Patent document BR1120160243005 discloses a food waste monitoring apparatus comprised of a weighing mechanism configured to weigh a food waste receptacle from a plurality of consecutive discard events prior to emptying, a processor configured to measure the difference in weight of the waste receptacle between each discard event and calculate the weight of a discard event based on the difference and a user interface configured to receive at least one indication categorizing food waste in a discard event performed by a user.
- a central server is also provided, configured to receive weights and categorizations of discard events from a plurality of locations.
- Such an embodiment makes it possible to implement a method of monitoring food waste according to which the difference between a first weight of waste after a first discard event and a second weight after a second discard event is associated with a user entry to categorize the food waste from the second discard event.
- Patent document US7415375 describes a food waste monitoring equipment coupled to an electronic scale to weigh food waste, and the monitoring device can capture and record the weight of food waste, as well as related information (such as the type of food wasted, why the food became wasted) to generate administrative information such as a report summarizing the monetary value of food waste generated over a period of time.
- the waste processing equipment of food now disclosed also comprises a "remote analysis module” able to provide and store additional information on food waste from the combination of variables from the "interface module", the output data of the "operation module” and additional information provided by managers of industrial kitchens or busy restaurants.
- the cooperation between the opening and the door of the digestion chamber is monitored by at least one door sensor.
- said mixing shaft integrated by multiple mixing blades is arranged inside the digestion chamber.
- the water distribution means is capable of introducing heated water into the digestion chamber.
- the data processing unit is able to send drive signals to the electric motor, the water inlet control means and the water heating means, and is able to receive signals from response from door sensor, load measurement sensor, interface and water temperature sensor.
- said equipment for food waste processing further comprises at least one classification listing of food waste stored in the data processing unit and accessible and selectable through the interface.
- the data processing unit determines at least one of the functional parameters of the electric motor, at least one of the functional parameters of the water inlet control means and at least one of the functional parameters of the water heating means based on the combination of at least the load measurement sensor response signals and the food waste classification selection from the food waste classification list stored in the data processing unit selected by at least one user through from the interface.
- the data processing unit sends at least one control signal to the electric motor based on the classification of food residues to be digested and based on the history of "target times" of activation of the electric motor for classifying the food residues to be digested
- the data processing unit sends at least one control signal to the water input control means based on the classification of the food residues to be digested. to be digested and based on the history of "target times" of water inlet controlled by the water inlet control means
- the data processing unit sends at least one control signal to the water heating means based on the classification of food residues to be digested based on the history of "target temperatures" of the water controlled by the water heating medium.
- the classification list of food waste stored in the data processing unit also comprises, in a relational way, the history of "target times" of activation of the electric motor, the history of " water intake target times” controlled by the water inlet control means and the history of water “target temperatures” controlled by the water heating means for each type or group of food residues.
- FIG. 1 schematically illustrates the waste food processing equipment processing food waste according to the subject invention
- FIG. 2 schematically illustrate the main components that make up the food waste processing equipment according to the invention in question.
- the The invention contemplates two objects that, although interdependent, can be analyzed individually.
- the first object of the invention in question is a food waste processing equipment
- the second object of the invention in question is the method of operation of food waste processing equipment.
- said food waste processing equipment (which can also be referred to as a biodigester or mechanical digester, these two nomenclatures being widely used in the consumer market of this type of equipment) comprises, in its preferred embodiment, a digestion chamber 1, a mixing shaft 2 integrated by multiple mixing blades 21, a water inlet control means 4, a water heating means 5, four temperature measurement sensors load 6, a data processing unit 7, and water temperature sensors 10.
- the food waste processing equipment is powered by electricity from an external source.
- the preferred embodiment of the food waste processing equipment may include other components and subsystems common and widely known by technicians versed in the subject.
- the digestion chamber 1 disposed inside the area defined by the chassis 61 of the food waste processing equipment, it is closed and accessible through an opening 11, which cooperates with a door 12. It is important to highlight that, preferably, the cooperation between the opening 11 and door 12 is monitored by door sensor 13, which may comprise a magnetic sensor or equivalent.
- the previously mentioned mixing shaft 2 integrated by multiple mixing blades 21 is arranged inside the digestion chamber (1), and is driven by an electric motor (3) cooperating with at least one transmission mechanism (31 ).
- the water inlet control means 4 comprises a valve which, electrically controlled, cooperates with at least one water inlet path 41.
- said control means water inlet 4 comprises a solenoid valve.
- the water heating means 5 comprises a heater which, electrically controlled, cooperates with at least one water distribution means 51 being able to introduce heated water inside the digestion chamber 1.
- said water heating means 5 comprises a resistive heater or a gas heater
- the water distribution means 51 comprises a pipe with at least one water outlet directed to the interior of the digestion chamber 1.
- load measurement sensors 6 associated with the chassis 61 of the food waste processing equipment are provided.
- the load measurement sensors 6 comprise load cells.
- the water temperature sensors 10 comprise temperature sensors that, arranged in at least one heated water circulation point (preferably, close to the hot water outlets of the middle of water distribution 51 ), are capable of converting the measured temperature information into relational electronic signals, as is the case with thermocouple temperature sensors.
- the data processing unit 7 is provided with a data processing core, a memory unit, a signal input port, a signal output port and a network connection unit.
- said data processing unit 7 comprises a microcomputer or a microcontroller of the type used in electromechanical industrial equipment.
- said data processing unit 7 is able to send signals of driving the electric motor 3, the water inlet control means 4 and the water heating means 5, and able to receive response signals from the door sensor 13, the load measurement sensor 6, the interface 8 and the water temperature sensor 10.
- the food waste processing equipment now disclosed also comprises an interface 8 operable by a user, which is able to display, in addition to of general information on the operation of said food waste processing equipment, a classification list 9 of food residues stored in the data processing unit 7.
- the interface 8 operable by a user in addition to displaying the aforementioned classification list 9 of food waste, it also allows users to select items from this ranking list 9.
- the food waste processing equipment comprises a classificatory list 9 of food waste stored in the data processing unit 7, which is accessible and selectable through the interface 8.
- the data processing unit 7 becomes able to determine at least one of the functional parameters of the electric motor 3, at least one of the functional parameters of the water input control means 4 and at least one of the functional parameters of the water heating means 5 based on the combination of at least least, the response signals from the load measurement sensor 6 and the classification selection of food waste from the classification list 9 of food waste stored in the data processing unit 7 selected by at least one user via the interface 8.
- the classification list 9 of food waste stored in the data processing unit 7 originates from an external server, being transmitted to the data processing unit 7 through your network connection unit, or any other means of transferring digital files, such as transferring via a USB memory device. This allows qualified users to update the classification 9 listing of food waste whenever necessary.
- the aforementioned classification list 9 of food residues should, preferably, always be stored in the (memory unit) of the data processing unit 7 so that the equipment food waste processing plant can safely function even when disconnected from external networks.
- the main objective to be achieved by the food waste processing equipment is to link the main operational variables (functional parameters of the electric motor 3, functional parameters of the control means of water input 4 and functional parameters of the water heating medium 5) of the biodigester process to the "input variables" of food residues.
- the data processing unit 7 is now able to change said operational variables according to more specific data (selection according to the classification list 9 of food waste and weight of food waste Classified). With this, firstly, excellent energy efficiency is achieved, after all, the electrical energy spent on the main operational variables is now optimized according to the specificity of the operation adopted based on the "input variables" of food waste.
- At least one of the functional parameters of the electric motor 3 is determined by the data processing unit 7 by combining the difference between the initial weight and the final weight measured by the load measurement sensors 6 and by the at least one ranking selection of food waste from the ranking list 9 selected by at least one user through the interface 8.
- At least one of the functional parameters of the water heating medium 5 is determined by the data processing unit 7 by combining the difference between the initial weight and the final weight measured by the load measurement sensors 6 and at least one ranking selection of food waste from the ranking list 9 selected by at least one user through the interface 8.
- the main functional parameter of the electric motor 3 to be determined by the data processing unit 7 (through the combination between the difference between the initial weight and the final weight measured by the load measurement sensor
- the main functional parameter of the water heating medium 5 to be determined by the data processing unit 7 (through the combination between the difference between the initial weight and the final weight measured by the load measurement sensor 6 and at least one ranking selection of food waste from the ranking list 9 selected by at least one user via the interface 8) is the water temperature.
- the functional parameters of the electric motor 3, the functional parameters of the water inlet control means 4 and the functional parameters of the water heating means 5 are determined by the data processing unit 7 seeking to optimize the difference between the initial weight of food waste and the final weight of food waste measured by the load measurement sensor 6.
- the constant search for this optimization is related to the determination of the best “target time” for activating the electric motor 3, the best “target time” for admission of water controlled by the water inlet control means 4 and the “target temperature” of the water controlled by the water heating means 5, after all, it is these three variables that have the highest energy use in a mechanical digestion process.
- the "target times" of activation of the electric motor 3, the “target times” of water admission controlled by the input control means of water 4 and the “target temperature” of the water controlled by the water heating means 5 can be stored, in relation to the combination between the difference between the initial weight and the final weight measured by the load measurement sensors 6 and at least one classification selection of food residues from the classification list 9 selected by at least one user through the interface 8, in the (memory unit) of the data processing unit 7.
- a certain numerical range of the "weighing result" (difference between the initial weight and the final weight measured by the load measurement sensors 6) combined with a certain classification of food residues is related to determined “target times” of activation of the electric motor 3, "target times” of water intake controlled by the water inlet control means 4 and “target temperature” of the water controlled by the water heating means 5.
- Example 1 (twenty kilos of bread food waste) is related to (fifteen minutes of electric motor activation, five minutes of water intake and water temperature at fifty degrees Celsius).
- Example 2 (two hundred kilograms of bread food waste) is related to (two hours of electric motor activation, five minutes of water intake and water temperature at fifty degrees Celsius).
- Example 3 (twenty kilos of meat food waste) is related to (fifty minutes of electric motor activation, twenty minutes of water intake and water temperature at two hundred degrees Celsius).
- this relationship (relational table) between a certain numerical range of the "weighing result” (difference between the initial weight and the final weight measured by the load measurement sensors 6) combined with a certain classification of food residues and certain "target times" for activating the electric motor 3, "target times” for controlled water intake by the inlet water control means 4 and “target temperature” of the water controlled by the water heating means 5 is static.
- the concept of “machine learning” is introduced to the relationship between numerical ranges of the "weighing result” (difference between the initial weight and the final weight measured by load measurement sensors 6) combined with food waste ratings and electric motor drive “target times” 3, water intake “target times” controlled by the water inlet control means 4 and “target temperature “ of the water controlled by the water heating means 5.
- it is using the concept of "reinforcement learning”.
- the main objective of this second inventive core refers, in a very particular way, to the application of the concept of "machine learning” to carry out the automatic adjustment of the operational variables mentioned above, aiming to achieve the best efficiency rate of mechanical digestion based on the history of previously executed processes. With this, the lowest use of water and energy resources is achieved, as well as less manual intervention in the adjustments of operational variables.
- the data processing unit 7 sends at least one control signal to the electric motor 3 based on the classification of food waste to be digested and based on the history of "target times" for activating the electric motor 3 for the classification of food waste to be digested, at least one control signal to the water inlet control means 4 based on the classification of the food residues to be digested and based on the history of "target times” of water intake controlled by the water intake control means 4 and at least one control signal to the water heating means 5 based on the classification of the food residues to be digested based on the history of "target temperatures” of the water controlled by the water heating medium 5.
- the data processing unit 7 also updates the relational histories present in the classificatory listing 9 of food waste, so that: the history of "target times" of activation of the electric motor 3 is always updated over time chain of activation of the electric motor 3 from the detection of the optimization of the difference between the initial weight of food waste and the final weight of food waste to be digested. This update is performed locally and on at least one external server; the history of "target times” of water intake controlled by the water inlet control means 4 is always updated with the current activation time of the water inlet control means 4 from the detection of the optimization of the difference between the initial weight of food waste and the final weight of food waste to be digested.
- This update is performed locally and on at least one external server; the history of "target temperatures" of the water controlled by the water heating means 5 is always updated with the current temperature of the water controlled by the water heating means 5 from the detection of the optimization of the difference between the initial weight of food waste and the final weight of food waste to be digested.
- This update is performed locally and on at least one external server.
- this search for updates can also be carried out “manually” (via a request from a user through interface 8), or automatically, with a frequency also determined by the user (via interface 8 ).
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- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Processing Of Solid Wastes (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Preparation And Processing Of Foods (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA3224803A CA3224803A1 (en) | 2021-07-05 | 2022-07-05 | Device for processing food waste and method for operating a device for processing food waste |
EP22836418.8A EP4369118A1 (en) | 2021-07-05 | 2022-07-05 | Device for processing food waste and method for operating a device for processing food waste |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
BR102021013275-2A BR102021013275B1 (pt) | 2021-07-05 | 2021-07-05 | Equipamento de processamento de resíduos de alimentos e método de operação de equipamento de processamento de resíduos de alimentos |
BR1020210132752 | 2021-07-05 |
Publications (1)
Publication Number | Publication Date |
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WO2023279181A1 true WO2023279181A1 (pt) | 2023-01-12 |
Family
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Family Applications (1)
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PCT/BR2022/050248 WO2023279181A1 (pt) | 2021-07-05 | 2022-07-05 | Equipamento de processamento de resíduos de alimentos e método de operação de equipamento de processamento de resíduos de alimentos |
Country Status (4)
Country | Link |
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EP (1) | EP4369118A1 (pt) |
BR (1) | BR102021013275B1 (pt) |
CA (1) | CA3224803A1 (pt) |
WO (1) | WO2023279181A1 (pt) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7415375B2 (en) | 2004-07-19 | 2008-08-19 | Leanpath, Inc. | Systems and methods for food waste monitoring |
US20130323824A1 (en) * | 2012-06-03 | 2013-12-05 | Chun Il Koh | Control device for a food waste disposal apparatus |
US20140095108A1 (en) * | 2012-09-28 | 2014-04-03 | Iain Milnes | Apparatus and system for measuring the amount of waste food reduced by a waste food machine |
WO2015199885A1 (en) | 2014-06-27 | 2015-12-30 | Emerson Electric Co. | Methods and apparatuses for monitoring, diagnostics, and reporting for food waste disposal, storage, and treatment system |
BR112016024300A2 (pt) * | 2014-04-21 | 2017-08-15 | Winnow Solutions Ltd | sistema para monitoramento de desperdício de alimentos, e, método para o monitoramento de desperdício de alimentos |
US9977414B2 (en) | 2014-01-14 | 2018-05-22 | Biohitech America | Network connected weight tracking system for a waste disposal machine |
US20190030544A1 (en) * | 2017-07-25 | 2019-01-31 | BioHiTech America, LLC | Systems and methods of intelligently controlling equipment such as food waste machines |
-
2021
- 2021-07-05 BR BR102021013275-2A patent/BR102021013275B1/pt active IP Right Grant
-
2022
- 2022-07-05 CA CA3224803A patent/CA3224803A1/en active Pending
- 2022-07-05 EP EP22836418.8A patent/EP4369118A1/en active Pending
- 2022-07-05 WO PCT/BR2022/050248 patent/WO2023279181A1/pt active Application Filing
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7415375B2 (en) | 2004-07-19 | 2008-08-19 | Leanpath, Inc. | Systems and methods for food waste monitoring |
US20130323824A1 (en) * | 2012-06-03 | 2013-12-05 | Chun Il Koh | Control device for a food waste disposal apparatus |
US20140095108A1 (en) * | 2012-09-28 | 2014-04-03 | Iain Milnes | Apparatus and system for measuring the amount of waste food reduced by a waste food machine |
US9977414B2 (en) | 2014-01-14 | 2018-05-22 | Biohitech America | Network connected weight tracking system for a waste disposal machine |
BR112016024300A2 (pt) * | 2014-04-21 | 2017-08-15 | Winnow Solutions Ltd | sistema para monitoramento de desperdício de alimentos, e, método para o monitoramento de desperdício de alimentos |
WO2015199885A1 (en) | 2014-06-27 | 2015-12-30 | Emerson Electric Co. | Methods and apparatuses for monitoring, diagnostics, and reporting for food waste disposal, storage, and treatment system |
US20190030544A1 (en) * | 2017-07-25 | 2019-01-31 | BioHiTech America, LLC | Systems and methods of intelligently controlling equipment such as food waste machines |
Also Published As
Publication number | Publication date |
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EP4369118A1 (en) | 2024-05-15 |
BR102021013275A2 (pt) | 2021-09-14 |
BR102021013275B1 (pt) | 2022-01-18 |
CA3224803A1 (en) | 2023-01-12 |
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