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WO2024150291A1 - Système de génération d'eau atmosphérique - Google Patents

Système de génération d'eau atmosphérique Download PDF

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Publication number
WO2024150291A1
WO2024150291A1 PCT/JP2023/000359 JP2023000359W WO2024150291A1 WO 2024150291 A1 WO2024150291 A1 WO 2024150291A1 JP 2023000359 W JP2023000359 W JP 2023000359W WO 2024150291 A1 WO2024150291 A1 WO 2024150291A1
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WIPO (PCT)
Prior art keywords
information
atmospheric water
water generating
information processing
control unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2023/000359
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English (en)
Japanese (ja)
Inventor
萌々子 平田
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JTEKT Corp
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JTEKT Corp
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Publication date
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Priority to PCT/JP2023/000359 priority Critical patent/WO2024150291A1/fr
Publication of WO2024150291A1 publication Critical patent/WO2024150291A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • This disclosure relates to an atmospheric water generation system.
  • Patent Document 1 There is currently technology for extracting moisture from the air (for example, Patent Document 1).
  • an atmospheric water generating system includes a server device having a storage unit that stores operation information of an atmospheric water generating device, and an information processing device that receives the operation information from the server device, and the information processing device transmits a processing result created by performing information processing on the received operation information to the server device, and the server device stores the processing result transmitted from the information processing device in the storage unit.
  • a useful processing result created using the operation information of the atmospheric water generating device can be provided to the outside from the server device. Therefore, the profit generated by using the processing result allows the atmospheric water generating device to be installed at low cost, and the atmospheric water generating device can be popularized.
  • the operation information includes meteorological data such as the amount of generated water, the amount of consumed water, installation location information of the atmospheric water generating device, atmospheric temperature, atmospheric humidity, and atmospheric pressure.
  • the information processing device may execute the following steps in the information processing: calculating the carbon dioxide reduction amount using the water generation amount information included in the operation information, converting the calculated carbon dioxide reduction amount into a carbon credit price, transmitting sales request information including the carbon credit price and the carbon dioxide reduction amount to a plurality of pre-registered business organizations, selecting one of the plurality of business organizations as a buyer using purchase request information transmitted from each of the plurality of business organizations, and creating information identifying the selected business organization as a result of the processing.
  • a buyer business organization can be selected from a plurality of business organizations.
  • the atmospheric water generating device has a detachable consumable, and the information processing device, in the information processing, may predict the replacement date of the consumable using water generation amount information included in the operation information, and the server device may transmit the predicted replacement date as the received processing result to a pre-registered business organization.
  • the business organization to which the replacement date is transmitted can replace the consumable. Then, the user of the atmospheric water generating device can have the consumable replaced without contacting the business organization themselves. This improves the convenience of the atmospheric water generating device.
  • the storage unit may further store, for a delivery company that delivered the consumable, delivery information that associates a delivery start time of the consumable with a delivery end time of the consumable, and the information processing device may determine a reliability of the delivery company using the delivery information transmitted from the server device. According to this aspect, a user of the atmospheric water generating device can select a delivery company using the reliability of the delivery company.
  • the atmospheric water generating device is installed in each of a plurality of sections divided into a region, and the information processing device may execute the following steps in the information processing: classifying each of the plurality of sections into one of a plurality of climate groups using temperature information included in the operation information; selecting a model section from the plurality of sections; and determining the demand number of the atmospheric water generating device as a result of the processing by comparing one of the plurality of sections as a target section with the model section having the same climate group.
  • producers of atmospheric water generating devices can use the demand number to produce in a planned manner.
  • administrative agencies in areas where drinking water is in short supply can install atmospheric water generating devices without shortage using the demand number.
  • the atmospheric water generating device may be installed in a plurality of locations in a section, and the information processing device may execute, in the information processing, the steps of calculating an estimated number of users for each of the plurality of atmospheric water generating devices using water consumption information included in the operation information, and calculating a predicted population of the section as a result of the processing by summing up the estimated number of users of each of the plurality of atmospheric water generating devices installed in the section.
  • a predicted population can be provided in an area where the number of residents is unknown.
  • the information processing device may, in the information processing, compare a daily water consumption pattern created using the water consumption information included in the operation information with a predetermined reference pattern to create medical information indicating the presence or absence of a person who needs medical care as a result of the processing. According to this aspect, it is possible to provide the medical information.
  • the information processing device may, in the information processing, compare a daily water consumption pattern created using the water consumption information included in the operation information with a predetermined reference pattern to create working information indicating working conditions as a result of the processing. According to this aspect, the working information can be provided.
  • the atmospheric water generating device may be installed in each of a plurality of sections into which an area is divided, and the information processing device may, in the information processing, create meteorological information as the processing result in which the location information, the temperature information, and the humidity information are associated with each other for each of the plurality of atmospheric water generating devices, using location information, temperature information, and humidity information included in the operation information.
  • meteorological information can be provided.
  • the present disclosure can be realized in various forms, and in addition to the atmospheric water generation system described above, it can be realized in the form of, for example, an information providing method in an atmospheric water generation system, an information processing device, etc.
  • FIG. 1 is a diagram showing the configuration of an atmospheric water generation system.
  • FIG. 13 is a sequence diagram showing a buyer selection procedure.
  • FIG. 11 is a sequence diagram showing a consumables management procedure according to the second embodiment.
  • 13 is a flowchart showing a delivery information creation process according to the third embodiment.
  • FIG. 13 is a diagram for explaining delivery information according to the third embodiment.
  • 13 is a flowchart of a demand forecasting process according to the fourth embodiment.
  • FIG. 13 is a diagram showing the relationship between areas and partitions according to the fourth embodiment.
  • 13 is a flowchart of an optimum number prediction process according to the fifth embodiment.
  • FIG. 13 is a diagram showing the relationship between water production and water consumption according to the fifth embodiment.
  • 23 is a flowchart of a population prediction process according to the sixth embodiment.
  • 23 is a flowchart of a medical information creation process according to the seventh embodiment.
  • 1A and 1B are diagrams for explaining a reference pattern and a consumption pattern of water consumption.
  • 23 is a flowchart showing an employment estimation process according to the eighth embodiment.
  • 23 is a flowchart of a weather information creation process according to the ninth embodiment.
  • FIG. 13 is a diagram showing another configuration of the atmospheric water generation system.
  • FIG. 1 is a diagram showing the configuration of an atmospheric water generation system 1.
  • the atmospheric water generation system 1 has an atmospheric water generation device 10, a server device 20, and an information processing device 30.
  • the atmospheric water generation device 10, the server device 20, and the information processing device 30 are connected to each other via the Internet INT so as to be able to communicate with each other.
  • the atmospheric water generating device 10 extracts moisture contained in the atmosphere to generate drinkable water.
  • the atmospheric water generating device 10 has a consumable 12, a storage tank 14, a detection unit 16, and a communication device 18.
  • the consumable 12 is detachably attached to the atmospheric water generating device 10.
  • the consumable 12 includes a moisture absorbent and a filter.
  • the moisture absorbent is an organic polymer material that adsorbs water vapor contained in the atmosphere by at least one of physical adsorption and chemical adsorption.
  • the water adsorbed by the adsorbent is desorbed by heating or compression.
  • the desorbed water is filtered to remove dust and stored in the storage tank 14.
  • the water stored in the storage tank 14 is supplied to the outside through an outlet not shown. Minerals, etc. may be added to the water stored in the storage tank 14 before it is supplied to the outside.
  • the atmospheric water generating device 10 may be simply referred to as the "device”.
  • an atmospheric water generating device that uses a heat exchanger to extract moisture contained in the atmosphere by cooling may be used.
  • the detection unit 16 includes a water level sensor that detects the amount of water in the storage tank 14, a temperature sensor, a humidity sensor, and a location information acquisition unit.
  • the location information acquisition unit acquires its own location information using the Global Positioning System.
  • the communication device 18 exchanges information with the outside world via the Internet INT.
  • the detection unit 16 and the communication device 18 may be built into the housing of the atmospheric water generating device 10, or may be attached outside the housing of the atmospheric water generating device 10.
  • the server device 20 has a control unit 22, a storage unit 24, and a communication unit 26.
  • the server device 20 is configured as a computer that executes various processes by the control unit 22 executing programs stored in the storage unit 24.
  • the storage unit 24 stores a database 28 in which operating information of the atmospheric water generating device 10 is stored.
  • the control unit 22 provides information from the database 28 to the information processing device 30, and stores information received from outside in the database 28.
  • the communication unit 26 exchanges information with the outside via the Internet INT.
  • the information processing device 30 receives operation information transmitted from the server device 20.
  • the information processing device 30 has a control unit 32, a storage unit 34, and a communication unit 36.
  • the information processing device 30 is configured as a computer that executes various processes by the control unit 32 executing programs stored in the storage unit 34.
  • the storage unit 34 stores programs and data for executing the processes described below.
  • the communication unit 36 exchanges information with the outside via the Internet INT.
  • the information processing device 30 creates a processing result by performing information processing on the operation information received from the server device 20.
  • the communication device 18 of the atmospheric water generating device 10 transmits the operation information to the server device 20 at a predetermined time interval.
  • the time interval is one day or one week.
  • the time interval is not limited to this and may be changed appropriately depending on the problem to be solved.
  • the time interval for calculating demographics may be set to one year, and the time interval for predicting the replacement date of the consumables 12 may be set to one week or one month.
  • the server device 20 stores the received operation information in the database 28.
  • the operation information includes water production amount information, water consumption amount information, temperature information, and humidity information detected by each sensor and associated with the detection time.
  • the water consumption amount is the amount of water supplied to the outside from the outlet.
  • the operation information also includes location information of the atmospheric water generating device 10. In each process and each sequence described below, the target atmospheric water generating device 10 is identified by the location information.
  • A2 is a sequence diagram showing the buyer selection procedure.
  • the buyer selection procedure is a procedure for selecting a buyer of carbon credits created by using the atmospheric water generating device 10.
  • the atmospheric water generating device 10 in this embodiment is installed in an area where a water supply is not provided. residents in this area boil and disinfect water drawn from ponds, rivers, etc. to make drinking water. Therefore, by allowing residents to obtain drinking water from the atmospheric water generating device 10, the amount of fuel used for boiling, such as wood, is reduced. This reduces carbon dioxide emissions.
  • the carbon credit system is a system in which countries and organizations certify greenhouse gas emissions such as carbon dioxide as credits. Certified credits are called carbon credits. Carbon credits are bought and sold between companies and organizations. There are multiple carbon credit registration business organizations that handle the carbon credit system.
  • the first business organization 51, the second business organization 52, and the third business organization 53 shown in Figure 2 are carbon credit registration business organizations.
  • the first business organization 51 is a business organization that handles the Joint Crediting Mechanism (JCM), which is a system for bilateral sales and purchases between Japan and other countries.
  • JCM Joint Crediting Mechanism
  • the second business organization 52 is a business organization that handles sales and purchases within Japan. In Japan, the system that handles domestic sales and purchases is also called J-Credit.
  • the third business organization 53 is a business organization that handles credits that are certified not by the country but by private organizations such as nongovernmental organizations (NGOs). Credits certified by such private organizations are also called voluntary credits. Companies and other entities wishing to buy and sell carbon credits do so through each business organization.
  • First business organization 51 to third business organization 53 are collectively referred to as business organization 50.
  • use of the atmospheric water generating device 10 reduces carbon dioxide emissions, thereby creating carbon credits.
  • the buyer selection procedure in FIG. 2 is performed for multiple atmospheric water generating devices 10.
  • the server device 20 transmits operation information about the target atmospheric water generating device 10 to the information processing device 30.
  • the operation information includes water production amount information, water consumption amount information, and location information of the target atmospheric water generating device 10.
  • step S12 the control unit 32 calculates the amount of carbon dioxide reduction for each of the first business organization 51 to the third business organization 53. Specifically, the control unit 32 calculates the amount of carbon dioxide reduction using the water production amount included in the water production amount information in accordance with the calculation method in each carbon credit system that is stored in advance in the memory unit 34.
  • step S14 the control unit 32 converts the calculated amount of carbon dioxide reduction into a carbon credit price for each of the first business organization 51 to the third business organization 53. Specifically, the control unit 32 converts into a carbon credit price in accordance with the calculation method in each carbon credit system that is stored in advance in the memory unit 34.
  • step S16 the control unit 32 transmits sales request information to each of the first to third business organizations 51 to 53 that have been registered in advance.
  • the sales request information includes the carbon credit price corresponding to each business organization, converted in step S14, the amount of carbon dioxide reduction, and the type.
  • the type indicates the type of carbon dioxide reduction method.
  • Each of the first business organization 51 to the third business organization 53 uses the selling intention information to select one organization that wishes to purchase.
  • the organization that wishes to purchase is typically a company.
  • each of the first business organization 51 to the third business organization 53 transmits purchase request information to the information processing device 30.
  • the purchase request information includes the desired purchase price and the amount of carbon dioxide reduction to be purchased.
  • step S20 the control unit 32 uses the received purchase request information to select one buyer. Specifically, the control unit 32 selects as the buyer one of the first to third business organizations 51 to 53 that transmitted the highest desired purchase price among the three desired purchase prices contained in the received purchase request information. Note that if there are multiple business organizations 50 with the same desired purchase price, one business organization 50 is selected according to a predetermined priority order.
  • step S22 the control unit 32 transmits result information to each of the first business organization 51 to the third business organization 53. Specifically, information indicating that the first business organization 51 to the third business organization 53 was selected as a buyer is transmitted to any of the first business organization 51 to the third business organization 53 that was selected as a buyer. Then, information indicating that the first business organization 51 to the third business organization 53 was not selected as a buyer is transmitted to any of the first business organization 51 to the third business organization 53 that was not selected as a buyer.
  • step S24 the control unit 32 transmits the buyer information to the server device 20 via the communication unit 36.
  • the buyer information includes which of the first business organization 51 to the third business organization 53 has been selected as the buyer, the selling price, and the amount of carbon dioxide reduction sold.
  • the server device 20 Upon receiving the buyer information, stores the buyer information in the database 28. As a result, the server device 20 accumulates historical information on the buying and selling of carbon credits.
  • the carbon credits are traded through one of the first business organizations 51 to the third business organizations 53 selected as the buyer. Typically, the carbon credits are traded between the manufacturer of the atmospheric water generating device 10 and the purchaser of the carbon credits.
  • useful processing results created using the operation information of the atmospheric water generating device 10 can be provided to the outside from the server device 20. This improves the convenience of the atmospheric water generating system.
  • a buyer business organization 50 can be selected from a plurality of business organizations 50 by performing each processing step according to the buyer selection procedure.
  • the atmospheric water generating system 1 makes it easier for those who wish to purchase carbon credits to purchase the carbon credits created by the atmospheric water generating device 10. Therefore, the profits from the sale of carbon credits make it possible to install the atmospheric water generating device 10 at low cost, and the atmospheric water generating device 10 can be popularized.
  • Second embodiment: 3 is a sequence diagram showing the consumables management procedure.
  • the consumables management procedure is performed for one atmospheric water generation device 10.
  • the database 28 contains information on the previous replacement date of the consumables 12 of the atmospheric water generation device 10 and information on the maintenance business organization 61 that performs maintenance of the consumables 12.
  • the database 28 previously stores the types of consumables 12 handled by the maintenance business organization 61 and the contact information of the maintenance business organization 61.
  • step S30 the server device 20 transmits operation information to the information processing device 30.
  • the operation information includes information on the previous replacement date of the consumables 12 in the target atmospheric water generating device 10 and information on the amount of water generated.
  • step S32 the control unit 32 performs a consumable replacement prediction process. Specifically, if the cumulative amount of water produced since the last replacement date of the consumable 12 exceeds a predetermined replacement reference value, the replacement date for the consumable 12 is determined to be a predetermined number of days later.
  • the predetermined number of days is, for example, five days.
  • the replacement reference value is determined for each type of consumable 12.
  • step S34 the control unit 32 transmits the replacement date information to the server device 20.
  • the replacement date information includes the replacement date determined in step S32, the type of consumable 12, and the location information of the target atmospheric water generating device 10.
  • the server device 20 stores the received replacement date information in the database 28.
  • step S36 the server device 20 transmits the replacement date information to the maintenance business organization 61.
  • step S38 upon receiving the replacement date information, the maintenance business organization 61 performs maintenance to replace the consumables 12 on the replacement date. This allows the user of the atmospheric water generating device 10 to have the consumables 12 replaced on the replacement date.
  • FIG. 4 is a flow chart of the delivery information creation process.
  • FIG. 5 is delivery information of the consumables 12 stored in the database 28 of the server device 20. The same components as those in the above embodiments are given the same reference numerals, and detailed description is omitted.
  • the replacement of the consumables 12 is performed by the maintenance business organization 61.
  • the replacement of the consumables 12 is performed by the user of the atmospheric water generating device 10.
  • the maintenance business organization 61 has the delivery company deliver the consumables 12 to the address of the location information included in the replacement date information. The user replaces the consumables 12 attached to the atmospheric water generating device 10 with the delivered consumables 12.
  • the delivery information shown in FIG. 5 is a set of data including the delivery company, delivery route, delivery start time, delivery end time, required time, score, location information of the maintenance business organization 61, and location information of the delivery destination. Note that in FIG. 5, the location information of the maintenance business organization 61 and the location information of the delivery destination are omitted.
  • the delivery company delivers the consumables 12 from the maintenance business organization 61 to the delivery destination.
  • the main roads that the delivery company will travel on are predetermined depending on the location of the delivery destination.
  • the delivery company of the consumables 12 delivers the consumables 12, it transmits the location information of the delivery destination and the start and end times of delivery to the server device 20.
  • the server device 20 receives the end time, it adds the received end time to the delivery information to update it. Each time the server device 20 updates the delivery information, it transmits the latest delivery information to the information processing device 30.
  • control unit 32 When the control unit 32 receives the delivery information, it performs a delivery information creation process.
  • the control unit 32 calculates the required time Ta from the delivery start time and delivery end time included in the delivery information.
  • the required time Ta is the time from the delivery start time to the delivery end time.
  • the control unit 32 calculates the delivery distance from the location information of the maintenance business organization 61 and the location information of the delivery destination.
  • the delivery distance is the straight-line distance between the location of the maintenance business organization 61 and the location of the delivery destination.
  • step S44 the control unit 32 calculates the standard required time Tth from the calculated delivery distance using a predetermined time conversion formula.
  • the time conversion formula is a correlation formula between the delivery distance and the required time.
  • the time conversion formula is determined using the actual time required for past deliveries, and is predetermined for both weekdays and holidays. In addition, the time conversion formula is predetermined for each of the main roads.
  • step S46 the control unit 32 calculates a time difference ⁇ T, which is the time obtained by subtracting the reference required time Tth from the required time Ta.
  • step S48 the control unit 32 determines whether the time difference ⁇ T is greater than a predetermined first reference difference time Da. If it is determined that the time difference ⁇ T is greater than the first reference difference time Da, in step S56, the control unit 32 determines that a traffic jam is occurring on the trunk road being used. The control unit 32 then creates traffic congestion information in which a flag indicating a traffic jam is associated with information identifying the trunk road, and stores the information in the memory unit 34.
  • step S50 the control unit 32 determines whether the time difference ⁇ T is greater than the second reference differential time Db.
  • the second reference differential time Db is a time shorter than the first reference differential time Da. If it is determined that the time difference ⁇ T is not greater than the second reference differential time Db, then in step S52, the control unit 32 creates delivery score information in which the score A is associated with the information identifying the delivery company, and stores the delivery score information in the memory unit 34.
  • step S54 the control unit 32 creates delivery score information in which the score B is associated with the information identifying the delivery company, and stores the delivery score information in the memory unit 34.
  • the scores A and B are indicators of the trustworthiness of the delivery company. The score A indicates a higher trustworthiness than the score B.
  • control unit 32 After executing steps S56, S54, and S52, the control unit 32 sends either the congestion information or the delivery score information to the server device 20 and ends this processing routine.
  • the server device 20 When the server device 20 receives the congestion information or delivery score information, it adds the received congestion information or delivery score information to the delivery information.
  • the server device 20 tallyes up the number of scores A and the number of scores B in the delivery score information for each delivery company each month.
  • the server device 20 determines, for each delivery company, the larger number, score A or score B, as the creditworthiness of that delivery company.
  • a delivery company with a creditworthiness score A is more creditworthy than a delivery company with a creditworthiness score B. Note that the determination of the creditworthiness of a delivery company may be performed by the control unit 32, rather than by the server device 20.
  • the control unit 32 similarly determines the creditworthiness of the manufacturer of the consumable 12. That is, if the time from the order date of the consumable 12 to the shipping date of the consumable 12 is longer than a predetermined reference time, the control unit 32 associates a score A with the target manufacturer. On the other hand, if the time from the order date of the consumable 12 to the shipping date of the consumable 12 is equal to or shorter than the reference time, the control unit 32 associates a score B with the target manufacturer.
  • Information on the order date of the consumable 12 and information on the shipping date of the consumable 12 are transmitted to the server device 20 by the manufacturer.
  • the server device 20 stores the received order date information and shipping date information in the database 28.
  • the user of the atmospheric water generating device 10 can select a delivery company using information indicating the reliability of the delivery company that is created by the control unit 32 performing the delivery information creation process.
  • FIG. 6 is a flowchart of the demand forecasting process.
  • FIG. 7 is a diagram showing the relationship between the region R and the section L.
  • the control unit 32 uses information transmitted from the server device 20 to evaluate the climate and economic strength of the location where the atmospheric water generation device 10 is installed, thereby forecasting the demand for the atmospheric water generation device 10, specifically, the expected number of new installations.
  • the climate is evaluated by classifying it into one of a plurality of climate groups.
  • the economic strength is evaluated by classifying it into one of a plurality of economic strength groups.
  • the server device 20 transmits operation information to the information processing device 30.
  • a plurality of atmospheric water generation devices 10 are installed in a section L described below.
  • the transmitted operation information includes operation information for the plurality of atmospheric water generation devices 10. Specifically, this operation information includes location information of each atmospheric water generation device 10, and daily maximum temperature information and daily minimum temperature information. In this embodiment, the average temperature of the daily minimum temperature and the daily minimum temperature is used as the daily average temperature.
  • the control unit 32 performs demand forecasting processing at predetermined time intervals.
  • the predetermined time intervals are, for example, every six months or a year.
  • the frequency with which information is transmitted from the server device 20 to the information processing device 30 may be equal to the frequency with which the demand forecasting processing is performed, or may be greater than the frequency with which the demand forecasting processing is performed. If the frequency of transmission from the server device 20 is greater than the frequency with which the demand forecasting processing is performed, the control unit 32 stores the transmitted information in the memory unit 34.
  • the control unit 32 divides one region R into smaller sections L, and performs demand forecasting for each section L.
  • Region R is, for example, a country or a region.
  • Sections L can be administrative districts such as cities, towns, and villages, or sections obtained by dividing land in a region.
  • step S60 of FIG. 6 the control unit 32 assigns a score to the climate and economic strength for each section L. Furthermore, the control unit 32 determines, for each section L, the number of households, the number of atmospheric water generating devices 10 installed per household, and the year-on-year change in the number of atmospheric water generating devices 10 installed. In this embodiment, the year-on-year change in the number of installed devices is calculated by dividing the difference between the current number of installed devices and the number installed one year ago by the number installed one year ago.
  • the climate and economic strength of each section L are evaluated by a score for the climate group.
  • Three scores are used: score A, score B, and score C.
  • the control unit 32 divides the distribution of average temperatures in region R, which is composed of the annual average temperatures of each section L, into thirds, and assigns scores A, B, and C in descending order of average temperature.
  • the annual average temperature is calculated by averaging the daily average temperatures, which are the average of the maximum and minimum temperatures in a day, over the course of a year.
  • indices other than the average annual temperature may be used to score the climate.
  • indices that can be used include daily temperature difference, the number of days per year when the maximum daily temperature is higher than a predetermined first temperature, the number of days per year when the minimum daily temperature is lower than a predetermined second temperature, and the annual sunny weather rate.
  • a numerical value is assigned to each index, weighting is performed for each index, and the climate is scored using the sum of the numerical values for all the indexes.
  • the climate may be grouped by clustering using machine learning, and a score may be assigned to each group.
  • the distribution of tax revenue in region R which is composed of the annual tax revenue of each section L, is divided into three parts, and the areas with the highest tax revenue are assigned scores A, B, and C.
  • the tax revenue information may be transmitted from the server device 20 or may be input by the administrator of the information processing device 30.
  • indicators can be the ratio of the working population per household, land prices, etc.
  • a numerical value is assigned to the score for each indicator, weighting is performed for each indicator, and the sum of all the indicators is used to score economic strength.
  • the annual income of each household for multiple households in section L can be surveyed, and the average annual income of the surveyed multiple annual incomes can be used.
  • step S62 the control unit 32 selects a model section M from among multiple sections L included in the region R. Specifically, a section L in which the year-on-year change in the number of installed units is smaller than a unit reference value is selected as the model section M.
  • the unit reference value is set to a value that allows multiple model sections M to be selected. This makes it possible to select a section L in which the installation of atmospheric water generating devices 10 is saturated as the model section M.
  • Steps S64 and S66 in FIG. 6 are performed for one section L, excluding the section L selected as the model section M.
  • the control unit 32 selects a similar model section M for the section L for which demand forecasting is to be performed. Specifically, a model section M with matching climate scores and economic strength scores is selected. For example, if the climate score of the target section L is A and the economic strength score is A, the model section (M1) shown in FIG. 7 is selected.
  • step S66 of FIG. 6 the control unit 32 performs a demand forecast for the target section L using information on the similar model section M.
  • the control unit 32 calculates the predicted number of installed units as the number of units demanded by multiplying the number of installed units per household in the similar model section M by the number of households in the target section L.
  • the number of units obtained by subtracting the current number of installed units in the target section L from the calculated predicted number of installed units is the number of atmospheric water generating devices 10 that are expected to be purchased in the future.
  • the control unit 32 stores in the memory unit 34 predicted number information that associates the calculated predicted number of installed vehicles with the target section L.
  • the control unit 32 also transmits the predicted number information to the server device 20.
  • the server device 20 Upon receiving the predicted number information, the server device 20 stores it in the database 28.
  • the number of installed units in the target section L is predicted using the number of installed units per household in a similar model section M.
  • the control unit 32 first groups a plurality of sections L by grouping together sections L having the same climate score and economic strength score into one group. Next, the control unit 32 calculates the predicted number of installed units using the maximum number of installed units per household among the sections L included in each group.
  • the control unit 32 predicts the number of installations by comparing the target section L with other sections L. In this embodiment, the control unit 32 statistically predicts the number of installations for the target section L from past information. Specifically, the control unit 32 obtains a regression line using the year-on-year ratio of the number of installations in the past few years, and predicts the number of installations for next year. In another embodiment, the control unit 32 obtains a regression line using the year-on-year ratio of the population, and predicts the population for next year. Next, the control unit 32 multiplies the predicted population by the current number of installations per person to calculate the predicted number of installations.
  • a regression line of an even shorter period for example, a month-on-month ratio, may be obtained to predict the number of installations for next month.
  • the number of installations may be adjusted using the relationship between the temperature and the number of installations. Specifically, the adjustment may be made using the rate of change in the same month of the previous year.
  • the control unit 32 performs a demand prediction process to calculate the number of atmospheric water generation devices 10 that are expected to be purchased.
  • Producers of the atmospheric water generation devices 10 can use the expected number of units to be installed to systematically produce the atmospheric water generation devices 10.
  • administrative agencies in areas where drinking water is in short supply can use the expected number of units to install atmospheric water generation devices 10 without any shortages. This makes it possible to popularize the use of the atmospheric water generation devices 10.
  • Fig. 8 is a flowchart of the optimum number prediction process.
  • Fig. 9 is a diagram showing the relationship between the water production amount and the water consumption amount in the atmospheric water generation device 10.
  • the expected number of units to be installed is obtained taking into account economic power.
  • the optimum number of units to be installed is obtained.
  • the same configurations and steps as those in the above-mentioned embodiments are given the same reference numerals, and detailed explanations are omitted as appropriate.
  • the atmospheric water generating device 10 is installed in a public place, not in each household.
  • operation information is transmitted from the server device 20 to the information processing device 30.
  • the transmitted operation information includes operation information on multiple atmospheric water generating devices 10. Specifically, this operation information includes location information of each atmospheric water generating device 10, and monthly water production amount information and water consumption amount information.
  • step S70 the control unit 32 determines whether step S72 has been performed for all atmospheric water generation devices 10 placed in the target section L. If it is determined that step S72 has not been performed for all atmospheric water generation devices 10, the control unit 32 calculates the surplus amount by subtracting the water consumption amount from the water production amount for one atmospheric water generation device 10 of the multiple atmospheric water generation devices 10 installed in the target section L, for each month, in step S72. As shown in FIG. 9, the water consumption amount is less than the water production amount. Furthermore, the greater the surplus amount, the more sufficient the supply of drinking water is for the demand.
  • step S74 of FIG. 9 the control unit 32 determines whether there is a month in which the supply surplus is smaller than the supply reference value for the target atmospheric water generation device 10. In a month in which the supply surplus is smaller than the supply reference value, the water consumption is lower than the water supply during the night when water consumption is low, but the water supply may be insufficient to meet the water demand during the day when water consumption is high. If the control unit 32 determines that there is no month in which the supply surplus is smaller than the supply reference value, it returns the process to step S70.
  • step S76 the control unit 32 increments the number of additional units. Note that the number of additional units is a variable used in this processing routine, and its initial value is zero. After executing step S76, the control unit 32 returns the process to step S70.
  • step S70 If it is determined in step S70 that the process has been completed for all atmospheric water generation devices 10, the control unit 32 creates required number information in step S78 by associating the numerical value of the number of additional units with information identifying the section L.
  • the control unit 32 sends the required number information to the server device 20 and ends this processing routine.
  • the additional number indicates the number of atmospheric water generation devices 10 that need to be additionally installed in the target section L because the water supply is low compared to the water demand.
  • the server device 20 stores the received required number information in the memory unit 24.
  • control unit 32 creates the required number information by performing an optimal number prediction process. Therefore, administrative agencies in areas where drinking water is in short supply can install atmospheric water generation devices 10 without shortages by using the additional number of units in the required number information. Therefore, the atmospheric water generation device 10 can be disseminated.
  • FIG. 10 is a flowchart of the population prediction process.
  • the atmospheric water generation device 10 is placed in an area where resident information, such as a resident card, for managing the number of residents living in the section L is not prepared.
  • the atmospheric water generation device 10 is installed in a public place, not for each household.
  • the same components and steps as those in the above embodiments are denoted by the same reference numerals, and detailed explanations will be omitted as appropriate.
  • the server device 20 transmits operation information to the information processing device 30.
  • the transmitted operation information includes operation information for a plurality of atmospheric water generating devices 10. Specifically, this operation information includes location information of each atmospheric water generating device 10, daily maximum temperature information, daily minimum temperature information, monthly water production information, and monthly water consumption information. In this embodiment, the average of the daily maximum temperature and daily minimum temperature is used as the daily average temperature.
  • step S70 the control unit 32 determines whether step S72 has been performed for all atmospheric water generation devices 10 placed in the target section L. If it is determined that step S72 has not been performed for all atmospheric water generation devices 10, in step S72, the control unit 32 calculates the surplus amount by subtracting the water consumption amount from the water production amount for one atmospheric water generation device 10 of the multiple atmospheric water generation devices 10 installed in the target section L for each month.
  • step S92 the control unit 32 extracts months in which the surplus amount is greater than a predetermined supply standard value.
  • step S94 the control unit 32 divides the monthly water consumption by the per capita water consumption for each month extracted in step S92 to calculate the number of users.
  • the per capita water consumption value used here is a value obtained in advance for region R, whose other populations are known. This per capita water consumption value is determined for each monthly average temperature. In other words, in step S94, the per capita water consumption value associated with the monthly average temperature of the atmospheric water generating device 10 is used.
  • step S94 the control unit 32 calculates an estimated number of users by averaging the numbers of users calculated in step S94.
  • the estimated number of users is a prediction of the number of people using the target atmospheric water generating device 10.
  • control unit 32 calculates the predicted population of section L by adding up the estimated number of users of all atmospheric water generation devices 10 installed in section L in step S98. In step S100, the control unit 32 creates predicted population information that associates the predicted population with information identifying section L. The control unit 32 sends the predicted population information to the server device 20 and ends this processing routine. The server device 20 stores the received predicted population information in the memory unit 24.
  • control unit 32 creates predicted population information by performing population prediction processing. Therefore, in areas where the number of residents is not known, predicted population information can be provided to government agencies and the like. The profits generated by providing predicted population information can help popularize the use of the atmospheric water generating device 10.
  • Fig. 11 is a flow chart of the medical information creation process.
  • Fig. 12 is a diagram explaining the reference pattern and consumption pattern of water consumption.
  • the atmospheric water generating device 10 is installed in each household. The same components and steps as those in the above embodiment are given the same reference symbols, and detailed explanations are omitted.
  • the medical information creation process is executed every day using information on the daily water consumption of the atmospheric water generating device 10 on the previous day.
  • operation information is transmitted from the server device 20 to the information processing device 30.
  • the transmitted operation information includes operation information for the multiple atmospheric water generating devices 10. Specifically, this operation information includes location information of each atmospheric water generating device 10, and water production amount information and water consumption amount information every six hours.
  • step S70 the control unit 32 determines whether or not step S110 has been performed for all atmospheric water generation devices 10 placed in the target section L. If it is determined that step S110 has not been performed, the control unit 32 determines in step S110 whether or not the consumption pattern of the target atmospheric water generation device 10 deviates from the reference pattern.
  • the information on the daily water consumption of the atmospheric water generating device 10 includes information on the total water consumption per day as well as the total water consumption per six hours.
  • the total water consumption per six hours is specifically the total water consumption from midnight to 6 am, the total water consumption from 6 am to 12 am, the total water consumption from 12 am to 6 pm, and the total water consumption from 6 pm to midnight.
  • the reference pattern and the consumption pattern are each represented by a pair of the end time and total water consumption of the four summed time periods.
  • the total water consumption from midnight to 6 am is called the “6 am total water consumption”
  • the total water consumption from 6 am to 12 am is called the “12 am total water consumption”
  • the total water consumption from 12 am to 6 pm is called the “6 pm total water consumption”
  • the total water consumption from 6 pm to midnight is called the “midnight total water consumption.”
  • the reference pattern is a normal pattern in which no one in the household requires medical care. The reference pattern is determined in advance using statistics by investigating the consumption of households in normal times. Each total amount in the reference pattern has a range of variation. The range of variation is, for example, a standard deviation. In FIG. 12, the range of variation is shown by error bars. In the reference pattern, the water consumption during the night from 12:00 PM to 6:00 AM is less than the water consumption during the day from 6:00 AM to 12:00 AM.
  • step S110 of FIG. 11 if the total amount of the consumption pattern at 6:00 a.m. is outside the range of variation of the total amount of the reference pattern at 6:00 a.m., the control unit 32 determines that the consumption pattern deviates from the reference pattern.
  • step S110 of FIG. 11 If it is determined in step S110 of FIG. 11 that the consumption pattern deviates from the reference pattern, the control unit 32 assigns an abnormality a label to the target atmospheric water generating device 10 in step S118. This case is when the amount of water consumed at night is higher than the standard due to the presence of a feverish baby or pregnant woman. After executing step S118, the control unit 32 returns the process to step S70. On the other hand, if it is determined in step S110 that the consumption pattern does not deviate from the reference pattern, the control unit 32 proceeds to step S112.
  • step S112 the control unit 32 determines whether the absolute value of the difference between the daily water consumption Cday and the reference daily water consumption Cth,
  • the reference daily water consumption Cth is the average daily water consumption for the past week in the same atmospheric water generation device 10. If the control unit 32 determines that the absolute value of the difference is not greater than the reference difference Dth, the control unit 32 returns the process to step S70. On the other hand, if the control unit 32 determines that the absolute value of the difference is greater than the reference difference Dth, in step S114, the control unit 32 determines whether the water consumption Cday is greater than the water consumption Cth.
  • step S116 the control unit 32 assigns an abnormality b label to the target atmospheric water generation device 10.
  • the daily water consumption is abnormally higher than normal because someone in the household has an infectious disease.
  • the reference difference Dth is set to a value that exceeds the range of fluctuations in water consumption due to temperature changes and is large enough to detect an abnormal situation in which someone in the household requires medical care.
  • step S114 If it is determined in step S114 that the water consumption Cday is not greater than the water consumption Cth, the control unit 32 assigns an abnormality c label to the target atmospheric water generating device 10 in step S120. In this case, the daily water consumption is abnormally less than normal, and someone in the household is dehydrated. After executing step S120, the control unit 32 returns the process to step S80.
  • step S122 determines in step S122 whether the proportion of abnormality b is greater than a predetermined reference proportion Rth. Specifically, the proportion of abnormality b is calculated by dividing the number of atmospheric water generating devices 10 labeled with abnormality b by the total number of atmospheric water generating devices 10 arranged in the section L. If it is determined in step S122 that the proportion of abnormality b is greater than the reference proportion Rth, the control unit 32 assigns an abnormality label to the target section L in step S124, which indicates that the section L is an area where an infectious disease is spreading.
  • step S122 determines whether the proportion of abnormality b is greater than the reference proportion Rth. If it is determined in step S122 that the proportion of abnormality b is not greater than the reference proportion Rth, the control unit 32 skips step S124 and proceeds to step S126.
  • step S126 the control unit 32 creates medical information indicating whether or not there is anyone who requires medical care.
  • the medical information includes the number of atmospheric water generating devices 10 that have been labeled for each of abnormalities a, b, and c, and information on whether or not an abnormality label has been assigned.
  • the control unit 32 sends the created medical information to the server device 20 and ends this processing routine.
  • the server device 20 stores the received medical information in the memory unit 24.
  • control unit 32 creates medical information by performing a medical information creation process. This makes it possible to provide the medical information to government agencies and the like. The profits generated by providing the medical information can help popularize the atmospheric water generating device 10.
  • H. Eighth embodiment: 13 is a flowchart of the employment estimation process.
  • the database 28 of the server device 20 is pre-stored with information on the configuration of the household in which the atmospheric water generating device 10 is installed, specifically, the number of adults and children.
  • a child is a person aged 6 to 14 years old.
  • An adult is a person aged 15 years old or older.
  • the same configurations and steps as those in the above embodiments are denoted by the same reference numerals, and detailed explanations will be omitted as appropriate.
  • the server device 20 transmits operation information to the information processing device 30.
  • the transmitted operation information includes the location information of the atmospheric water generating device 10, and water production amount information and water consumption amount information for every 6:00 hour.
  • the control unit 32 performs an employment estimation process for each week using data from the past week.
  • step S130 the control unit 32 counts the number of consumption days Nd on which the daytime water consumption is greater than the standard consumption.
  • step S132 the control unit 32 determines whether the consumption days Nd are 5 or greater. If it is determined that the consumption days Nd are 5 or greater, in step S138, the control unit 32 assigns a label La to the target atmospheric water generating device 10 and proceeds to step S136.
  • the label La is a label that indicates that there is an unemployed person.
  • step S134 the control unit 32 determines whether the consumption days Nd is 3 or more. If it is determined that the consumption days Nd is 3 or more, then in step S140 the control unit 32 assigns a label Lb to the target atmospheric water generating device 10 and proceeds to step S136.
  • the label Lb is a label indicating that a day laborer is present.
  • step S136 the control unit 32 determines whether or not there are children in the household. If it is determined that there are no children in the household, the control unit 32 proceeds to step S148. If it is determined that there are children in the household, in step S142, the control unit 32 counts the number of supplies Ns, which is the number of supplies during the day when the amount of water consumed per supply is less than the standard consumption amount.
  • step S144 the control unit 32 determines whether the number of supplies Ns is greater than the reference number Nth. If it is determined that the number of supplies Ns is greater than the reference number Nth, the control unit 32 assigns a label Lc to the target atmospheric water generating device 10 in step S146 and proceeds to step S148.
  • the label Lc is a label indicating that there is a preschool child.
  • the control unit 32 skips step S146 and proceeds to step S148.
  • step S148 the control unit 32 creates employment information indicating the employment status. If labels La to Lc are attached, the employment information includes information identifying the label.
  • the control unit 32 sends the created employment information to the server device 20 and ends this processing routine.
  • the server device 20 stores the received employment information in the memory unit 24.
  • control unit 32 creates employment information by performing an employment estimation process. This makes it possible to provide employment information to government agencies and the like. The profits generated by providing the employment information can help popularize the atmospheric water generating device 10.
  • I. Ninth embodiment: 14 is a flowchart of the weather information creation process.
  • the atmospheric water generation device 10 is placed in an area where weather data is not collected and weather forecasts using the weather data are not performed. Furthermore, a plurality of atmospheric water generation devices 10 are densely placed in a section L. Specifically, the atmospheric water generation devices 10 are placed at intervals of about several kilometers. The same configurations and steps as those in the above embodiments are given the same reference numerals, and detailed explanations are omitted as appropriate.
  • operation information is sent from the server device 20 to the information processing device 30.
  • the sent operation information includes operation information for multiple atmospheric water generation devices 10 included in the region R.
  • the operation information for each atmospheric water generation device 10 includes location information of the atmospheric water generation device 10, morning temperature information and humidity information, and evening temperature information and humidity information.
  • the control unit 32 performs a meteorological information creation process for each predetermined time period. In this embodiment, the predetermined time period is half a day.
  • step S150 the control unit 32 creates weather information, which is a group of information that associates location information with temperature and humidity.
  • the weather information can be associated with map information and can be displayed on a map.
  • step S152 the control unit 32 creates weather forecast information using the created weather information.
  • the weather forecast made in step S152 is a short-term forecast. Specifically, first, for each point, if the humidity is higher than a predetermined standard humidity, the control unit 32 sets the weather flag of the target point to "rain”. Next, the control unit 32 predicts the points where it will rain based on the expansion of the range over time of the points where the weather flag is set to rain. Then, the control unit 32 creates weather forecast information by associating the rain forecast with the position information of the points where it is predicted to rain.
  • the weather forecast information is information that can be associated with map information and can be displayed on a map.
  • the control unit 32 sends the created weather information and weather forecast information to the server device 20 and ends this processing routine.
  • the server device 20 stores the received weather information and weather forecast information in the memory unit 24.
  • the control unit 32 performs long-term weather forecasting separately from the weather information creation process. Specifically, first, the control unit 32 classifies each point in region R where the atmospheric water generating device 10 is located into a number of weather patterns using weather information from at least the past year.
  • the weather patterns are classified into three: a coastal pattern, an inland pattern, and a mountain pattern.
  • the mountain pattern is a pattern in which humidity is lower throughout the year compared to the coastal and inland patterns.
  • the coastal pattern is a pattern in which humidity is higher in the morning compared to the inland pattern.
  • the control unit 32 then performs a long-term weather forecast for each weather pattern. Specifically, the control unit 32 predicts the start and end of the rainy season and the start and end of the dry season by comparing with the same weather patterns in the past. The control unit 32 may also perform a forecast of rain, sunny weather, etc., for each weather pattern, using characteristic changes in temperature and humidity throughout the day.
  • the control unit 32 creates weather information and weather forecast information by performing a weather information creation process. Therefore, it is possible to provide weather information and weather forecast information to government agencies and the like. The profits generated by providing weather information and weather forecast information can help popularize the atmospheric water generating device 10.
  • FIG. 15 is a diagram for explaining another embodiment of the atmospheric water generating system 1.
  • the atmospheric water generating system 1 includes one information processing device 30.
  • the atmospheric water generating system 1 may include a plurality of information processing devices 30.
  • the plurality of information processing devices 30 include nine information processing devices 30, namely, a first information processing device 130 to a ninth information processing device 930. Note that in FIG. 15, only the first information processing device 130, the second information processing device 230, the third information processing device 330, and the ninth information processing device 930 are illustrated, and the information processing devices 30 from the fourth information processing device to the eighth information processing device are omitted from the illustration.
  • each information processing device 30 performs the processing according to each embodiment described above.
  • the first information processing device 130 performs the buyer selection processing according to the first embodiment.
  • “Other form A” and “other form B” in FIG. 15 differ in the method of information exchange between the server device 20 and the information processing device 30.
  • each information processing device 30 exchanges information with the server device 20 through a network.
  • “other form B” only the first information processing device 130 exchanges information with the server device 20 through the network, and each of the second information processing device 230 to the ninth information processing device 930 exchanges information with another information processing device.
  • the network for information exchange between the server device 20 and the information processing device 30 is not limited to the Internet INT, and may be a LAN (Local Area Network) or a WAN (Wide Area Network), etc.
  • the reliability is determined from the required time Ta for delivery from the maintenance business organization 61 to the installation location of the atmospheric water generation device 10. In other embodiments, the reliability may be determined for delivery from the manufacturing location of the consumables 12 to the maintenance business organization 61, or from the manufacturing location of the consumables 12 to the installation location of the atmospheric water generation device 10.
  • step S110 can be executed by obtaining the amount of water consumption during the day and the amount of water consumption during the night.
  • 1...atmospheric water generation system 10...atmospheric water generation device, 12...consumables, 14...storage tank, 16...detection unit, 18...communication device, 20...server device, 22, 32...control unit, 24, 34...storage device, 26, 36...communication unit, 28...database, 30...information processing device, 50...business organization, 51...first business organization, 52...second business organization, 53...third business organization, 61...maintenance business organization

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Abstract

L'invention concerne un système de génération d'eau atmosphérique pour favoriser la propagation de dispositifs de génération d'eau atmosphérique. Ce système de génération d'eau atmosphérique comprend un dispositif serveur qui comporte une unité de stockage destinée à stocker des informations de fonctionnement concernant un dispositif de génération d'eau atmosphérique, et un dispositif de traitement d'informations qui reçoit les informations d'opération en provenance du dispositif serveur, le dispositif de traitement d'informations transmettant, au dispositif serveur, un résultat de traitement créé par réalisation d'un traitement d'informations sur les informations de fonctionnement reçues, et le dispositif serveur stockant le résultat de traitement transmis à partir du dispositif de traitement d'informations dans l'unité de stockage.
PCT/JP2023/000359 2023-01-11 2023-01-11 Système de génération d'eau atmosphérique Ceased WO2024150291A1 (fr)

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Citations (6)

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Publication number Priority date Publication date Assignee Title
JP2013527889A (ja) * 2010-03-24 2013-07-04 ダブリュー ダブリュー エス 空気から水を抽出するための装置、ならびに飲料水を製造するためのシステムおよび機械
JP2016537277A (ja) * 2013-10-08 2016-12-01 スカイウェル, リミテッド ライアビリティー カンパニーSkywell, LLC 大気水発生システムおよび方法
WO2018124291A1 (fr) * 2016-12-28 2018-07-05 三菱ケミカル・クリンスイ株式会社 Purificateur d'eau, système de purification d'eau, système de gestion de purificateur d'eau et procédé de détection de l'état d'utilisation d'un purificateur d'eau
JP2019518887A (ja) * 2016-04-13 2019-07-04 スカイウェル, リミテッド ライアビリティー カンパニーSkywell, LLC 大気水生成システムおよび方法
JP2020159013A (ja) * 2019-03-26 2020-10-01 株式会社富士通ゼネラル 水生成装置及び水生成システム
JP2022133640A (ja) * 2021-03-02 2022-09-14 株式会社ジェーシービー 配送仲介装置、プログラム、および情報処理方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013527889A (ja) * 2010-03-24 2013-07-04 ダブリュー ダブリュー エス 空気から水を抽出するための装置、ならびに飲料水を製造するためのシステムおよび機械
JP2016537277A (ja) * 2013-10-08 2016-12-01 スカイウェル, リミテッド ライアビリティー カンパニーSkywell, LLC 大気水発生システムおよび方法
JP2019518887A (ja) * 2016-04-13 2019-07-04 スカイウェル, リミテッド ライアビリティー カンパニーSkywell, LLC 大気水生成システムおよび方法
WO2018124291A1 (fr) * 2016-12-28 2018-07-05 三菱ケミカル・クリンスイ株式会社 Purificateur d'eau, système de purification d'eau, système de gestion de purificateur d'eau et procédé de détection de l'état d'utilisation d'un purificateur d'eau
JP2020159013A (ja) * 2019-03-26 2020-10-01 株式会社富士通ゼネラル 水生成装置及び水生成システム
JP2022133640A (ja) * 2021-03-02 2022-09-14 株式会社ジェーシービー 配送仲介装置、プログラム、および情報処理方法

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