CN109489183A - Intelligent fresh air system information prompting method, system and storage medium - Google Patents

Intelligent fresh air system information prompting method, system and storage medium Download PDF

Info

Publication number
CN109489183A
CN109489183A CN201811463492.2A CN201811463492A CN109489183A CN 109489183 A CN109489183 A CN 109489183A CN 201811463492 A CN201811463492 A CN 201811463492A CN 109489183 A CN109489183 A CN 109489183A
Authority
CN
China
Prior art keywords
data
environmental data
fresh air
current scene
detection model
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.)
Pending
Application number
CN201811463492.2A
Other languages
Chinese (zh)
Inventor
姜天露
许超
石光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing New Home Technology Co Ltd
Original Assignee
Beijing New Home Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing New Home Technology Co Ltd filed Critical Beijing New Home Technology Co Ltd
Priority to CN201811463492.2A priority Critical patent/CN109489183A/en
Publication of CN109489183A publication Critical patent/CN109489183A/en
Pending legal-status Critical Current

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52—Indication arrangements, e.g. displays
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The present invention provides a kind of intelligent fresh air system information prompting method, system and storage medium.The method includes at least one following operations.The environmental data of available current scene.The environmental data can be input to the first detection model, judge whether the air quality of the current scene is exceeded, wherein first detection model is machine learning model.The first prompting message can be generated based on the first judging result of first detection model.The present invention is handled using environmental data of the machine learning model to current scene, can quickly and accurately judge whether air quality is exceeded and obtains reason for Exceeding, and then is sent and reminded to user, and the user experience is improved spends.

Description

Intelligent fresh air system information prompting method, system and storage medium
Technical field
The present invention relates to intelligent fresh air system technical fields, more particularly to a kind of intelligent fresh air system information reminding Method, system and storage medium.
Background technique
In recent years, atmosphere pollution is increasingly severe, and Air Quality makes people worried, in order to reduce air pollution on human The influence of health, more and more homes and offices begin to use fresh air system to purify room air.Currently, existing Some fresh air system can be detected and be alarmed to room air, but judgment basis is single (for example, utilizing threshold value comparison Method), accuracy rate is not high under various application scenarios, can not also sentence to the reason of causing air quality to decline It is disconnected.Meanwhile the service life of all parts of fresh air system is different, is usually regularly replaced.But the difference of use environment Will lead to the lost of life or extension of component, the operational effect that periodic replacement will lead to fresh air system give a discount or increase maintenance at This.Accordingly, it is desirable to provide a kind of intelligent fresh air system with prompting function, monitors to high-accuracy air quality and reminds use Family, while air quality reason for Exceeding can be analyzed.Further, the fresh air system part replacement time can also be predicted to remind use Component is replaced at family, and then improves user experience.
Summary of the invention
To achieve the above object, some embodiments of the present invention provide a kind of intelligent fresh air system information prompting method, are System and storage medium, the first environmental data or structured data and/or operation number of current scene locating for acquisition intelligent fresh air system According to the environmental data is further input to detection model, judges the air quality of current scene locating for intelligent fresh air system Whether whether exceeded and intelligent fresh air system component needs replacing, and the judging result based on detection model, generates and reminds Information, reminds the user that whether exceeded air quality and reason for Exceeding or component need to change or predict replacing construction, improves and uses Family Experience Degree.
In order to achieve the purpose that foregoing invention, technical solution provided by the invention are as follows:
A kind of intelligent fresh air system information prompting method.The method may include at least one following operations.It can obtain Take the environmental data of current scene.The environmental data can be input to the first detection model, judge the current scene Whether air quality is exceeded, wherein first detection model is machine learning model.It can be based on first detection model The first judging result, generate the first prompting message.
In the present invention, the method further includes at least one following operations.Available intelligent fresh air system Structured data and/or operation data.The structured data and/or operation data can be input to the second detection model, judged Whether at least one component of the intelligent fresh air system needs replacing, wherein second detection model is machine learning mould Type.The second prompting message can be generated based on the second judging result of second detection model.
In the present invention, the environmental data include it is following at least one: PM2.5 concentration, CO2Concentration, concentration of formaldehyde, TVOC concentration and temperature and humidity.
In the present invention, the environmental data for obtaining current scene may include by being located on the intelligent fresh air system The environmental data for the current scene that one or more sensor module except or is captured.
In the present invention, the sensor module comprises at least one of the following: fixed sensor component, detachable biography Sensor component and distributed sensing device assembly.
In the present invention, first detection model is disaggregated model.
In the present invention, first prompting message includes that whether air quality exceeded and/or reason for Exceeding, alerting pattern Comprise at least one of the following: wechat, short message, phone, buzzing, intelligent fresh air display screen text is reminded or voice reminder.
In the present invention, at least one component of the intelligent fresh air system includes sensor module, strainer, air hose, adds Hot component, cooling assembly, humidification component or blower.
In the present invention, second detection model is regression model.
In the present invention, second prompting message includes the component needed to change and/or reason, and alerting pattern includes following At least one: wechat, short message, phone, buzzing, intelligent fresh air display screen text is reminded or voice messaging.
In the present invention, second prompting message further comprises: the advanced replacement time of at least one component.
In the present invention, the method further includes at least one following operations.The current scene can be uploaded The structured data and/or operation data and its correspondence of environmental data and its corresponding first judging result and/or intelligent fresh air system The second judging result.
A kind of intelligent fresh air system information prompting system.The system comprises at least one processors and at least one storage Equipment, the storage equipment for storing instruction, when at least one described processor execute described instruction when, it is described processing by with At least one operation below executing.The environmental data of available current scene.The environmental data can be input to One detection model judges whether the air quality of the current scene is exceeded, wherein first detection model is machine learning Model.The first prompting message can be generated based on the first judging result of first detection model.
A kind of intelligent fresh air system information prompting system.The system comprises first obtain module, first judgment module and Generation module.The first acquisition module is used to obtain the environmental data of current scene.The first judgment module is used for institute It states environmental data and is input to the first detection model, judge whether the air quality of the current scene is exceeded, wherein described first Detection model is machine learning model.The generation module is used for the first judging result based on first detection model, raw At the first prompting message.
A kind of computer readable storage medium.The storage medium stores computer program, is situated between when computer reads storage After computer program in matter, at least one following operation of computer operation.The environmental data of available current scene.It can be with The environmental data is input to the first detection model, judges whether the air quality of the current scene is exceeded, wherein described First detection model is machine learning model.It can generate first based on the first judging result of first detection model and mention Awake information.
A kind of intelligent fresh air system information prompting method.The method may include at least one following operations.It can obtain Take the environmental data of current scene.The environmental data can be uploaded.It can receive and sentence corresponding to the first of the environmental data Disconnected result.The first prompting message can be generated based on the first judging result of first detection model.
In the present invention, the method may further include at least one following operation.Available intelligent fresh air system The structured data and/or operation data of system.The structured data and/or operation data can be uploaded.It can receive and correspond to institute State the second judging result of structured data and/or operation data.It can be based on second judging result, second is generated and remind letter Breath.
A kind of intelligent fresh air system information prompting method.The method is realized by least one processor.The method packet Include at least one following operation.The environmental data of available current scene.It can be based on the environmental data, worked as described in judgement Whether the air quality of preceding scene is exceeded.The first judging result corresponding to the environmental data can be sent.
In the present invention, the method further includes at least one following operations.Available intelligent fresh air system Structured data and/or operation data.It can be based on the structured data and/or operation data, judge the intelligent fresh air system At least one component whether need replacing.The second judgement corresponding to the structured data and/or operation data can be sent As a result.
In the present invention, the method may further include at least one following operation.It can receive and/or store institute State the environmental data of current scene and its structured data and/or the operation of corresponding first judging result and/or intelligent fresh air system Data and its corresponding second judging result are to storing equipment.
In the present invention, described to be based on the environmental data, judging whether the air quality of the current scene is exceeded can To include at least one following operation.The environmental data can be input to the first detection model, judge the current scene Air quality it is whether exceeded, wherein first detection model be machine learning model.
In the present invention, described to be based on the environmental data, judging whether the air quality of the current scene is exceeded can To include at least one following operation.The storage equipment can be inquired, the first judgement corresponding with the environmental data is obtained As a result.
In the present invention, described to be based on the structured data and/or operation data, judge the intelligent fresh air system extremely It may include at least one following operation that whether a few component, which needs replacing,.It can be by the structured data and/or operation number According to the second detection model is input to, judge whether at least one component of the intelligent fresh air system needs replacing, wherein described Second detection model is machine learning model.
In the present invention, described to be based on the structured data and/or operation data, judge the intelligent fresh air system extremely It may include at least one following operation that whether a few component, which needs replacing,.The storage equipment, acquisition and institute can be inquired State structured data and/or corresponding second testing result of operation data.
A kind of intelligent fresh air system information prompting system.The system comprises at least one processors and at least one storage Equipment, the storage equipment for storing instruction, when at least one described processor execute described instruction when, the processor quilt For executing at least one following operation.The environmental data of available current scene.It can be based on the environmental data, judgement Whether the air quality of the current scene is exceeded.The first judging result corresponding to the environmental data can be sent.
A kind of intelligent fresh air system information prompting system, the system comprises second obtain module, the second determining module and Transmission module.The second acquisition module is used to obtain the environmental data of current scene.Second judgment module is for being based on The environmental data judges whether the air quality of the current scene is exceeded.The transmission module corresponds to institute for sending State the second judging result of structured data and/or operation data.
A kind of computer readable storage medium.The storage medium stores computer program, is situated between when computer reads storage After computer program in matter, at least one following operation of computer operation.The environmental data of available current scene.It can be with Based on the environmental data, judge whether the air quality of the current scene is exceeded.It can send corresponding to the environment number According to the first judging result.
Additional feature will be set forth in part in the description which follows, and to those skilled in the art, pass through Consulting the following contents and attached drawing will become obvious, or can be understood by the generation or operation of example.Of the invention Feature by practicing or can be realized and be obtained using method described in example in detailed below, tool and combined various aspects ?.
Detailed description of the invention
The application can be further described accoding to exemplary embodiment.The exemplary reality can be described in detail with reference to attached drawing Apply example.The embodiment and unrestricted exemplary embodiment, wherein identical appended drawing reference represents several views of attached drawing In similar structure, and wherein:
Fig. 1 be according to some embodiments of the present invention shown in an exemplary intelligent fresh air system schematic diagram；
Fig. 2 be according to some embodiments of the present invention shown in an exemplary computer device exemplary hardware components And/or the schematic diagram of component software；
Fig. 3 be according to some embodiments of the present invention shown in an EXEMPLARY MOBILE DEVICE exemplary hardware components And/or the schematic diagram of component software；
Fig. 4 be according to some embodiments of the present invention shown in an exemplary processing devices block diagram；
Fig. 5 be according to some embodiments of the present invention shown in judge the whether exceeded exemplary process diagram of air quality；
Fig. 6 be according to some embodiments of the present invention shown in judge whether fresh air part of appliance needs replacing exemplary Flow chart；
Fig. 7 be according to some embodiments of the present invention shown in another kind exemplary processing devices block diagram；
Fig. 8 be according to some embodiments of the present invention shown in another kind judge the whether exceeded exemplary flow of air quality Figure.
Fig. 9 according to some embodiments of the present invention shown in another kind judge whether fresh air part of appliance needs replacing Exemplary process diagram；
Specific embodiment
In order to illustrate more clearly of the technical solution of embodiments herein, will make below to required in embodiment description Attached drawing is briefly described.It should be evident that the accompanying drawings in the following description is only some examples or implementation of the application Example, for those of ordinary skill in the art, without creative efforts, can also be according to these attached drawings The application is applied to other similar scene.Unless being explained obviously or separately, identical label generation in figure from language environment The identical structure or operation of table.
As shown in the application and claims, unless context clearly prompts exceptional situation, " one ", "one", " one The words such as kind " and/or "the" not refer in particular to odd number, may also comprise plural number.It is, in general, that term " includes " only prompts to wrap with "comprising" Include clearly identify the step of and element, and these steps and element do not constitute one it is exclusive enumerate, method or apparatus The step of may also including other or element.
Although the application is made that various references to the certain module in system according to an embodiment of the present application, however, Any amount of disparate modules can be used and be operated on vehicular client and/or server.The module is only explanation Property, and disparate modules can be used in the different aspect of the system and method.
Flow chart used herein is used to illustrate operation performed by system according to an embodiment of the present application.It should Understand, before or operation below not necessarily accurately carry out in sequence.On the contrary, can be handled according to inverted order or simultaneously Various steps.It is also possible to during other operations are added to these, or remove a certain step from these processes or count step behaviour Make.
In addition, the application only describes system and method relevant to intelligent fresh air system, it is to be understood that the application In description be only a part of the embodiment.The intelligent fresh air system or method also can be applied in addition to intelligent fresh air system Other kinds of application scenarios in.For example, method described in this application and/or system can be applied to vehicle interior Or in outdoor square.The intelligent fresh air system or method can also with other equipment to combination, for example, air-conditioning, air purifier, Fan, haze-proof mask etc..
Term " fresh air system ", " intelligent fresh air system " of the application is interchangeably used, and can purify and mistake for referring to Device, equipment or the tool of air filtration body.The term " sensor module " of the application and " sensor " are interchangeably used, for referring to In generation, can detect device, equipment or the tool of the concentration data of various composition in the self attributes and/or air of air.
In one aspect, the present invention relates to the system and method for intelligent fresh air system information reminding.It is new that intelligence can be used Environmental data around wind system is come whether the air quality for judging current scene exceeded and reason for Exceeding and reminds user.
Fig. 1 be according to some embodiments of the present invention shown in a kind of schematic diagram of intelligent fresh air system 100.For example, intelligence Energy fresh air system 100 can be one and provide the platform of service for fresh air system information reminding.Intelligent fresh air system 100 can wrap Include one or more new wind devices 110,120, one, one or more terminals network 140 of processing equipment 130, one With a storage equipment 150.
In some embodiments, new wind devices 110 can be installed on different scenes.For example, new wind devices 110 can pacify Loaded in the indoor, vehicles, in hypogee, open area etc..In some embodiments, new wind devices 110 can be to field Scape is taken a breath, for example, new wind devices 110 can swap room air and outdoor fresh air.New wind devices 110 are also It can be pre-processed to exchange the air marched into the arena in scape, for example, filtering, heating, refrigeration, humidification etc..New wind devices 110 are also It can detecte the air quality in different scenes and judge whether air quality reaches preset standard.If not up to, new wind devices 110 can remind user.In some embodiments, new wind devices 110 can remotely be passed through by user terminal 120 into Row control, can also carry out selection control by the control panel on new wind devices 110.In some embodiments, fresh air is controlled The user of equipment 110 can be a user, be also possible to multiple user's co- controllings.In some embodiments, new wind devices 110 can also remotely be controlled by user by network.
In some embodiments, new wind devices 110 can obtain the detection of air quality based on sensor module 160 Environmental data carry out.As shown in Figure 1, new wind devices 110 can equipped be mounted in new 110 main body of wind devices or except One or more sensor module 160-1,160-2,160-3 etc..The sensor module can be the single sky of detection The sensor of gas ingredient, is also possible to integrated type sensor, for detecting multiple composition of air.For example it is assumed that acquired ring Border data include PM2.5 concentration, TVOC concentration sensor and CO2Concentration, then one or more than one sensor module can To include a PM2.5 concentration sensor, a TVOC concentration sensor and a CO2Concentration sensor.It is one or one A above sensor module is also possible to a single integrated type sensor, can detect PM2.5 concentration simultaneously, TVOC concentration passes Sensor and CO2Concentration.In some embodiments, sensor module 160 can be used for obtaining current scene locating for new wind devices 110 Environmental data, including but not limited to PM2.5 concentration sensor, PM10 concentration sensor, TVOC concentration sensor, CO2Concentration Sensor, CO concentration sensor, temperature sensor, humidity sensor, air flow rate sensor, SO2Concentration sensor, SO3Concentration Sensor, NO2Concentration sensor, NO concentration sensor, NH3Concentration sensor, ozone concentration sensor, concentration of formaldehyde sensor, Benzene concentration sensor, toluene concentration sensor, xylene concentration sensor, benzo [a] pyrene concentration sensor, total number of bacteria sensing Device, radon sensor etc. or any combination thereof.In some embodiments, sensor module 160 can be mounted in fresh air equipment 110 On fixed sensor component, for example, sensor module 160-1,160-2,160-3 etc., by welding with fresh air Equipment 110 connects.In some embodiments, sensor module 160 is also possible to detachable sensor module.For example, fresh air Multiple Peripheral Interfaces can be set in equipment 110, sensor module 160 can pacify on new wind devices 110 by Peripheral Interface Loading or unloading carries, while being communicatively coupled by Peripheral Interface with new wind devices 110.In some embodiments, sensor module 160 can also be distributed sensing device assembly.For example, sensor module 160 may be mounted at other in the current scene Position, for example it is installed on indoor each corner, it is connect by wireless communication with new wind devices 110.
In some embodiments, data accessed by sensor module 160 can be transmitted in intelligent fresh air system 100 One or more components in.For example, the data that sensor module 160 can will acquire are sent to processing equipment 130 In handled.In another example the data that can will acquire of sensor module 160 be sent to storage equipment 150 and deposited Storage.In some embodiments, sensor module 160 further includes memory, accessed data can be stored in memory In.
Terminal 120 can be communicated with the component of the one or more in intelligent fresh air system 100, for example, terminal 120 Control instruction can be sent to new wind devices 110 by network 140.It is closed in another example terminal 120 can be received by network 140 In the prompting message of air quality.In some embodiments, terminal 120 may include Intelligent mobile equipment 120-1, tablet computer 120-2, laptop 120-3 etc..In some embodiments, Intelligent mobile equipment 120-1 can include but is not limited to intelligence Mobile phone, personal digital assistant (Personal Digital Assistance, PDA), handheld device, intelligent glasses, intelligent hand Table, wearable device, virtual display device, display enhancing equipment etc. or any combination thereof.In some embodiments, terminal 120 It can be a part of processing equipment 130.In some embodiments, terminal 120 can remove.
Processing equipment 130 can handle the data obtained from new wind devices 110, terminal 120 and/or storage equipment 150 And/or information.For example, processing equipment 130 can handle information relevant to new wind devices 110 itself and its locating scene and/ Or data are to execute one or more functions described herein.In some embodiments, processing equipment 130 is available current The environmental data of scene.In some embodiments, the environmental data can be input to the first detection mould by processing equipment 130 Type determines whether the air quality of the current scene is exceeded, wherein first detection model is machine learning model.? In some embodiments, processing equipment 130 can be determined based on the first of first detection model as a result, generating first reminds letter Breath.In some embodiments, processing equipment 130 may include one or more processors (for example, at single core processor or multicore Manage device).Only for example, processing equipment 130 may include one or more hardware processors, such as central processing unit (CPU), specific integrated circuit (ASIC), dedicated instruction set processor (ASIP), image processor (GPU), physical manipulations processing Device (PPU), digital signal processor (DSP), field-programmable gate array (FPGA), Programmadle logic device (PLD), control Any combination of device, micro controller unit, Reduced Instruction Set Computer (RISC), microprocessor etc. or the example above.Some In embodiment, processing equipment 130 can be a single server or a server farm.The server zone can be with It is centralization or distributed (for example, processing equipment 130 can be a distributed system).In some embodiments, Processing equipment 130 can be local or remote.For example, processing equipment 130 can be integrated in inside fresh air equipment 110, It is also possible to the server positioned at cloud.In some embodiments, processing equipment 130 can be accessed by network 140 and is stored in Store equipment 150 and/or information and/or data in terminal 120.Processing equipment 130 can also directly access therein Storage unit and/or the built-in storage unit with new wind devices 110 are to obtain information and/or data.In some embodiments, Processing equipment 130 can be realized in a cloud platform.Only for example, the cloud platform may include private clound, it is public Cloud, mixed cloud, community cloud, distribution clouds, between cloud, any combination of multiple cloud etc. or the example above.In some embodiments, locate Reason equipment 130 can with realized in the application Fig. 2 or shown in Fig. 3 calculating equipment.For example, processing equipment 130 can be such as It is realized in calculating equipment 200 shown in Fig. 2, including calculating one or more components in equipment 200.For another example processing Equipment 130 can be realized in a mobile device 300 as shown in Figure 3, including calculating one or more portions in equipment 300 Part.
Network 140 can promote the exchange of information and/or data.In some embodiments, in intelligent fresh air system 100 One or more component (for example, new wind devices 110, terminal 120, processing equipment 130 and storage equipment 150 etc.) can pass through net Other component of the network 140 into intelligent fresh air system 100 sends information and/or data.For example, processing equipment 130 can pass through Network 140 obtains data from storage equipment 150.In some embodiments, network 140 can be cable network or wireless network In any one, or combinations thereof.For example, network 140 may include cable system, cable network, fiber optic network, telecommunication It is network, Intranet, internet, local area network (LAN), wide area network (WAN), WLAN (WLAN), Metropolitan Area Network (MAN) (MAN), public Any group of switched telephone network (PSTN), blueteeth network, ZigBee-network, near-field communication (NFC) network etc. or the example above It closes.In some embodiments, network 140 may include one or more network access points.
Storage equipment 150 can store data and/or instruction.In some embodiments, storage equipment 130 can store from The data obtained at new wind devices 110, terminal 120 and processing equipment 130.In some embodiments, storage equipment 150 can deposit The data and/or instruction for executing or using for processing equipment 130 are stored up, processing equipment 130 can be by executing or using the number According to and/or instruction to realize illustrative methods described herein.In some embodiments, storage equipment 150 may include big Any group of capacity memory, removable memory, volatility read-write memory, read-only memory (ROM) etc. or the example above It closes.Illustrative mass storage may include disk, CD, solid state hard disk etc..Illustrative removable memory can be with Including flash disk, floppy disk, CD, memory card, compressed drive, tape etc..Illustratively volatility read-only memory may include Random access memory (RAM).Illustrative random access memory may include that dynamic RAM (DRAM), double data rate synchronous are dynamic State random access memory (DDRSDRAM), Static RAM (SRAM), silicon-controlled random access memory (T-RAM) and zero capacitance are deposited Reservoir (Z-RAM) etc..Illustrative read-only memory may include mask ROM (MROM), may be programmed read-only storage Device (PROM), Erasable Programmable Read Only Memory EPROM (EPROM), electrically erasable programmable read-only memory (EEPROM), compression Hard disk read-only memory (CD-ROM) and digital multi hard disk read-only memory etc..In some embodiments, equipment 150 is stored It can be realized in a cloud platform.Only for example, the cloud platform may include private clound, public cloud, mixed cloud, society Qu Yun, distribution clouds, between cloud, any combination of multiple cloud etc. or the example above.
In some embodiments, storage equipment 150 can be connect with network 140 with realize in intelligent fresh air system 100 One or more component (for example, new wind devices 110, terminal 120, processing equipment 130 etc.) between communication.Intelligent fresh air system One or more components of system 100 can access the data or instruction being stored in storage equipment 150 by network 140. In some embodiments, storage equipment 150 can directly with one or more components of intelligent fresh air system 100 (for example, New wind devices 110, processing equipment 130 etc.) it connects or communicates.In some embodiments, storage equipment 150 can be processing equipment 30 a part.
Fig. 2 be according to some embodiments of the present invention shown in a kind of schematic diagram of exemplary computer device 200.Terminal 120, processing equipment 130 and/or storage equipment 150 can be realized on calculating equipment 200.For example, processing equipment 130 can be It calculates and is realized in equipment 200 and be configured as realizing function disclosed herein.As shown in Fig. 2, computing device 200 can wrap Include processor 210, memory 220, input/output (I/O) 230 and communication port 240.
Processor 210 can be with computer instructions (for example, program code) and the technology according to described in application Execute the function of processing equipment 130.The computer instruction can be used for executing specific function described in this application, the meter The instruction of calculation machine may include such as programs, objects, component, data structure, program, module and function.For example, processor 210 can To handle the environmental data of the current scene obtained from any component of intelligent fresh air system 100.In some embodiments, it handles Device 210 may include one or more hardware processors, such as microcontroller, microprocessor, Reduced Instruction Set Computer (Reduced Instruction Set Computer (RISC)), application-specific integrated circuit (Application Specific Integrated Circuit (ASIC)), the specific instruction set processor (Application- of application program Specific Instruction-Set Processor (ASIP)), central processing unit (Central Processing Unit (CPU)), graphics processing unit (Graphics Processing Unit (GPU)), physical processing unit (Physics Processing Unit (PPU)), digital signal processor (Digital Signal Processor (DSP)), scene can compile Journey gate array (Field Programmable Gate Array (FPGA)), advanced RISC machine (Advanced RISC Machine (ARM)), programmable logic device (Programmable Logic Device (PLD)), be able to carry out one or more The one of which such as any circuit of a function or processor or several combinations.
It is merely to illustrate, only describes a processor in calculating equipment 200.However, it is necessary to which explanation, calculates equipment 200 also may include multiple processors.It can also be by more by the operation and/or method that describe a processor execution in the application A processor is common or executes respectively.For example, if it is described in this application calculate equipment 200 processor execute operation A and Operate B, it should be appreciated that operation A and operation B can also be by the difference of two or more in 200 in calculating equipment Processor is common or is executed respectively (for example, first processor executes operation A and second processor executes the processing of operation B or first Device and second processor execute operation A and B jointly).
Memory 220 can store from new wind devices 110, terminal 120, processing equipment 130, storage equipment 150 and/or intelligence The data/information that any other component of energy fresh air system 100 obtains.In some embodiments, memory 220 may include great Rong Measure the one of which such as memory, removable memory, volatile read-write memory, read-only memory (ROM) or several combinations. Massive store may include disk, CD, solid state hard disk, mobile storage etc..Removable memory may include flash drive Device, floppy disk, CD, storage card, ZIP disk, tape etc..Volatile read-write memory may include random access memory (RAM).RAM may include dynamic RAM (DRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), static random access memory (SRAM), silicon-controlled random access memory (T-RAM), zero capacitance arbitrary access are deposited Reservoir (Z-RAM) etc..ROM may include mask ROM (MROM), programmable read-only memory (PROM), erasable Programmable read only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD- ROM), the CD etc. of digital versatile disc.In some embodiments, memory 220 can store one or more programs and/ Or instruction, for executing illustrative methods described in this application.For example, memory 220 can store program, described program can Whether the air quality to judge current scene for processing equipment 130 is exceeded.
Input/output 230 can input and/or output signal, data, information etc..In some embodiments, input/defeated 230 the data communication between new wind devices 110 and processing equipment 130 may be implemented out.In some embodiments, input/output 230 may include input equipment and output equipment.Input equipment may include keyboard, mouse, touch screen, microphone etc. wherein one Kind or several combinations.Output device may include that display device, loudspeaker, printer, projector etc. are one of or several Combination.The display device may include liquid crystal display (LCD), light emitting diode (LED) display, flat-panel monitor, The one of which such as arcuate screens, television equipment, cathode-ray tube (CRT), touch screen or several combinations.
Communication port 240 can connect network (for example, network 140), in order to data communication.Communication port 240 can be with Connection is established between processing equipment 130 and new wind devices 110, terminal 120 and/or storage equipment 150.The connection can be Wired connection, any can be realized that connection that data transfer and/or receive etc. is one of or several combinations at wireless connection. The wired connection may include the one of which such as cable, optical cable, telephone wire or several combinations.The wireless connection can To include, for example, bluetoothTMLink, Wi-FiTMLink, WiMAXTMLink, WLAN link, ZigBeeTMLink, movement Network linking (for example, 3G, 4G, 5G etc.) one of which or several combinations.In some embodiments, communication port 240 can be with It is and/or including Standardization Communication port, such as RS232, RS485.
Fig. 3 be according to some embodiments of the present invention shown in an illustrative mobile device 300 example hardware And/or the schematic diagram of software.Terminal 120 can be realized in mobile device 300.As shown in figure 3, mobile device 300 can wrap Include the processor 340, one of graphics processor 330, one of display unit 320, one of communication port 310, one input/it is defeated 350, memories 360 of unit and a storage unit 390 out.It can also include a bus or one in mobile device 300 A controller.In some embodiments, operating system 370 and one or more application program 380 can add from storage unit 390 It is downloaded in memory 360, and is executed by processor 340.For example, GPS location program and/or program (example relevant to data acquisition Such as, take pictures, image) it can be loaded into memory 360 and executed by processor 340.In some embodiments, application program 380 can receive and show air quality related with processing equipment 130 whether exceeded prompting message or other information.It is defeated Enter/output unit 350 may be implemented interaction with intelligent fresh air system 100, and intercorrelation information provided by network 140 To the other component in intelligent fresh air system 100, such as processing equipment 130.
In order to realize that various modules, unit and its function described in this application, computer hardware platforms may be used as this In the hardware platform of one or more elements mentioned.One computer for possessing user interface elements can be used to implement individual Computer (PC) or other any type of work stations or terminal device.By suitably programming, computer can also be with Serve as a server.
Fig. 4 be according to some embodiments of the present invention shown in exemplary processing devices 400 block diagram.As shown, place Managing equipment 400 may include the first acquisition module 410, first judgment module 420 and generation module 430.Processing equipment 400 can be with It is embodied as the processing equipment (built-in services device 400 can also be referred to as at this time) being built in new wind devices 110.
First obtains the available data of module 410.First acquisition module can from new wind devices 110, terminal 120, deposit One or more in storage equipment 150, and/or data-storable any equipment disclosed herein or component obtain Access evidence.Acquired data may include one of environmental data, user instruction, algorithm, model etc. or multiple combinations.? In some embodiments, first obtains the environmental data of the available current scene of module 410.The current scene can be fresh air The installation scenario of equipment 110, including but not limited to house, office, hospital, school, hotel, dining room, cinema, music hall, Automobile, motor-car, train, aircraft, steamer, megastore, recreation ground, KTV, outdoor etc..In some embodiments, described to work as front court Scape can be the scene to form enclosure space, for example, house room, hospital ward, classroom, hotel guest room, dining room parlor, Cinema screening room, theater hall, car inside, railway carriage, aircraft cabin, cruise cabin etc..The current scene may be used also To be open scene, for example, outdoor square.In some embodiments, the environmental data can be in the current scene The concentration data of various composition in the self attributes and/or air of middle air, including but not limited to temperature, humidity, air velocity, PM2.5 concentration, PM10 concentration, TVOC concentration, CO2Concentration, CO concentration, SO2Concentration, SO3Concentration, NO2Concentration, NO concentration, NH3It is dense Degree, ozone concentration, concentration of formaldehyde, benzene concentration, toluene concentration, xylene concentration, benzo [a] pyrene concentration, total number of bacteria, radon etc. or Any combination thereof.
In some embodiments, the structured data of the first acquisition available new wind devices 110 of module 410 and/or operation Structured data described in data can refer to 110 self structure data of fresh air equipment, including but not limited to filter core dust containing capacity (CCM), Sensor module state, blower/motor status, heat exchanger core rate of heat exchange, power supply module state, LED status etc. or its Meaning combination.The filter core dust containing capacity (CCM) includes the total dust containing capacity of filter core and the current dust containing capacity of filter core.For new wind devices, Dust containing capacity can refer under nominal air delivery, what clean air package (for example, filter screen etc.) was captured when reaching whole resistance Standard intraocular's dirt gross mass, for indicating the index of clean air package performance.Dust containing capacity can also be that clean air package exists For target contaminant (for example, particulate matter and gaseous state are dirty under rated condition (for example, under nominal air delivery) and defined experimental condition Contaminate object etc.) accumulation detergent power, for indicating that the Clean air delivery rate obtained after clean air package is handled decays to initially Value 50% when accumulation purified treatment target contaminant gross mass.The total dust containing capacity of filter core can be new wind devices 110 Clean air package (for example, filter screen etc.) build-in attribute, by screen material, thickness and developed area etc. determine.It is described Screen material can choose different combinations according to different filtration needs, and screen material can be polyester fiber, borosilicate fento Dimension, glass fibre, melt-blown material, load type active carbon, active carbon and microfibre combination strainer on polyurethane, honeycomb material, Nano-titania photocatalyst etc..The strainer thickness can influence dust containing capacity, but strainer thickness is thicker, generated windage May be bigger, while the space that thicker strainer occupies is larger, will affect the beauty of new blower entirety.It can be according to practical feelings Condition selects the suitable thickness of every layer of strainer.The strainer developed area refers to the area after strainer is launched into plane.Strainer expansion Area determines particulate matter capacity, and developed area is bigger, and the capacity of particulate matter is more, and the service life of strainer can extend.The filter core is worked as Preceding dust containing capacity can be by filter core dust containing capacity (CCM) detector acquisition.For example, filter core dust containing capacity (CCM) detector is available new Air quantity/wind speed during the operation total durations of wind devices (for example, new wind devices 110), operation, the pollutant in air to be clean Ingredient and concentration etc., calculate within operation total time, the clean air package (for example, filter screen etc.) of new wind devices 110 The total amount of the pollutant purified.The operation data can refer to the operation data in 110 use process of fresh air equipment, including But be not limited to when air quantity, wind speed, motor speed, humidity, temperature, runing time, networking time and operation weather conditions etc. or Any combination thereof.
In some embodiments, first module 410 is obtained after obtaining the above-mentioned data referred to, can be transmitted to processing and set Standby 130 other modules (for example, first judgment module 420) are used for subsequent operation, or are transmitted to storage equipment by network 140 150 for storing.
First judgment module 420 can be used for the environmental data being input to the first detection model, judge described current Whether the air quality of scene is exceeded.In some embodiments, first detection model can be machine learning model.One In a little embodiments, the machine learning model can be disaggregated model.In some embodiments, whether the air quality is exceeded It can refer to whether the concentration of various composition in air self attributes and/or air can generate health to human body and/or animals and plants Damage.For example, the air formaldehyde concentration of current scene will cause skin injury and irreversible neurologic impairment to human body, then It can determine that air quality is exceeded.Conversely, if the attribute of any ingredient and/or concentration is not to human body and/or dynamic plant in air Object generates Health cost, it may be considered that air quality is not exceeded.
First judgment module 420 can be also used for for the structured data and/or operation data being input to the second detection mould Type, judges whether at least one component of the intelligent fresh air system needs replacing.In some embodiments, second detection Model can be machine learning model.In some embodiments, the machine learning model can be regression model.In some realities It applies in example, whether the component of the new wind devices 110, which needs replacing, can refer to that the current performance of the component of fresh air equipment 110 is The no normal operation for having influenced new wind devices 110.For example, if the air filtration poor effect of the strainer of new wind devices 110 can not Meet the requirement of pure air, it may be considered that strainer needs replacing；Conversely, being then changed without.In another example if new wind devices 110 Air quantity under the normal rated power of blower be not up to normal value needed replacing it may be considered that air hose has breakage；Conversely, Then it is changed without.In some embodiments, first judgment module 420 is also based on second detection model, judges that fresh air is set The advanced replacement time of standby component.The advanced replacement time can be the replacement moment of finger apart from the one of current time A period a, for example, week, one month, a season etc..Only as an example, for filter core, first judgment module 420 can The filter core dust containing capacity under the total dust containing capacity of filter core, current operating conditions (for example, wind speed, air quantity etc.) is input to the second detection mould Type, directly determines whether filter core needs replacing and/or following when needing replacing the predicted time at current time.
Generation module 430 can be used for the first judging result based on first detection model, generates first and reminds letter Breath.In some embodiments, first judging result can be and directly to the whether exceeded judgement of air quality and cause to surpass Target reason (if there is).For example, the air quality that the first judgement result can be current scene is good.In another example institute Stating the first judgement result can be CO in the air of current scene2It is exceeded and lead to CO2Exceeded reason is (for example, room closes Atmosphere draught-free).In some embodiments, whether first prompting message may include reminding user's air quality exceeded And/or reason for Exceeding.The reason for Exceeding can instruct cause air quality be more than preset threshold it is one or more of it is possible because Element.For example, CO in room air2Excessive concentration causes air quality to be more than preset threshold, then reason for Exceeding can be interior door Window, which closes atmosphere draught-free, leads to CO2Concentration over-standard.In some embodiments, first prompting message can be set by fresh air User is reminded for 110 and/or terminal 120.Remind by new wind devices 110 can be through new 110 display screen of wind devices Carry out text importing, voice broadcast, buzzer etc. or any combination thereof.For example, new wind devices 110 can be reminded described first Information carries out voice broadcast and assists buzzing to remind user.Remind by terminal 120 and can be processing equipment 130 for institute State the first prompting message and via network be sent to terminal 120 to remind user, alerting pattern can be by wechat, QQ, credulity, Fetion, MSN, Line, WhatsApp, iMessage, short message (e.g., voice messaging or text information), fresh air system control APP etc. Or any combination thereof the first prompting message is sent to terminal 120.Alerting pattern can also pass through manual telephone system calling terminal 120 To remind user.In some embodiments, generation module 430 can be also used for uploading the current scene environmental data and its Corresponding first judging result is stored into storage equipment 150.
Generation module 430 can be also used for the second judging result based on second detection model, generates second and reminds Information.In some embodiments, the equipment that the second judgement result can be in new wind devices 110 is good, and no replacement is required.Again For example, it is described second judgement result can be strainer need replacing and the reason of changing (dust containing capacity reaches peak value, can not be effectively right Air is purified).In some embodiments, second prompting message may include reminding new 110 needs of wind devices of user The unit type and/or the reason of changing of replacement.The part replacement reason can be guidance cause one kind for needing replacing of component or The above possible factor.For example, filter core needs replacing, then the reason of changing, which can be dust containing capacity and reach critical point, leads to purification function It is not up to standard.In some embodiments, second prompting message can be reminded by new wind devices 110 and/or terminal 120 and be used Family.Remind can be by new wind devices 110 and text importing, voice broadcast, bee are carried out by new 110 display screen of wind devices Ring device etc. or any combination thereof.For example, first prompting message can be carried out voice broadcast and assist bee by new wind devices 110 Ring is to remind user.Remind by terminal 120 can be processing equipment 130 and sends out first prompting message via network Send to terminal 120 to remind user, alerting pattern can be by wechat, QQ, credulity, Fetion, MSN, Line, WhatsApp, IMessage, short message (e.g., voice messaging or text information), fresh air system control APP etc. or any combination thereof are reminded first Information is sent to terminal 120.Alerting pattern can also be by manual telephone system calling terminal 120 to remind user.In some implementations In example, generation module 430 is also used to upload the structured data and/or operation data and its corresponding second judging result to depositing It is stored in storage equipment 150.
It should be appreciated that system shown in Fig. 4 and its module can use various modes to realize.For example, in some implementations In example, system and its module can be realized by the combination of hardware, software or software and hardware.Wherein, hardware components can To be realized using special logic；Software section then can store in memory, by instruction execution system appropriate, for example (,) it is micro- Processor or special designs hardware execute.It will be appreciated by those skilled in the art that meter can be used in above-mentioned method and system It calculation machine executable instruction and/or is included in the processor control code to realize, such as in such as disk, CD or DVD-ROM The programmable memory of mounting medium, such as read-only memory (firmware) or the data of such as optics or electrical signal carrier Such code is provided on carrier.The system and its module of the application can not only have such as super large-scale integration or door The semiconductor or field programmable gate array of array, logic chip, transistor etc., programmable logic device etc. The hardware circuit of programmable hardware device realize, can also be real with such as software as performed by various types of processors It is existing, it can also be by combination (for example, firmware) Lai Shixian of above-mentioned hardware circuit and software.
It should be noted that above description, only for convenience of description, the application can not be limited in illustrated embodiment range Within.It is appreciated that for those skilled in the art, it, can be without departing substantially from this after the principle for understanding the system In the case where principle, various modifications and variations in form and details are carried out to the implementation above method and systematic difference field. However, these change and modification do not depart from scope of the present application.
Fig. 5 be according to some embodiments of the present invention shown in judge the whether exceeded exemplary process diagram of air quality. In some embodiments, process 500 can be executed by processing logic, which may include hardware (for example, electricity Road, special logic, programmable logic, microcode etc.), software (operation is on a processing device to execute the instruction of hardware simulation) etc. Or any combination thereof.One or more operations in the process 500 shown in fig. 5 for judging whether air quality is exceeded can pass through Intelligent fresh air system 100 shown in FIG. 1 is realized.For example, process 500 can be stored in storage equipment 150 in the form of instruction, And it is executed as processing equipment 130 and calls and/or execute (for example, shown in the processor 220 shown in Fig. 2 for calculating equipment 200, Fig. 3 Mobile device 300 processor 340).
In 510, the environmental data of available current scene.Operation 510 can be executed by the first acquisition module 410. In some embodiments, the current scene can be the installation scenario of new wind devices 110, including but not limited to house, office Room, school, hotel, dining room, cinema, music hall, automobile, motor-car, train, aircraft, steamer, megastore, is travelled at hospital Field, KTV, outdoor etc..In some embodiments, the current scene can be the scene to form enclosure space, for example, housing types Between, hospital ward, classroom, hotel guest room, dining room parlor, cinema screening room, theater hall, car inside, train vehicle Compartment, aircraft cabin, cruise cabin etc..The current scene can also be open scene, for example, outdoor square.In some realities It applies in example, the environmental data can be various composition in current scene self attributes of air and/or air Concentration data, including but not limited to temperature, humidity, air velocity, PM2.5 concentration, PM10 concentration, TVOC concentration, CO2Concentration, CO concentration, SO2Concentration, SO3Concentration, NO2Concentration, NO concentration, NH3Concentration, ozone concentration, concentration of formaldehyde, benzene concentration, toluene are dense Degree, xylene concentration, benzo [a] pyrene concentration, total number of bacteria, radon etc. or any combination thereof.
In some embodiments, the environmental data can by be located at new wind devices 110 on or except one or one Above sensor module is captured.The sensor module can be the single air self attributes of detection and/or composition of air Sensor, be also possible to integrated type sensor, for detecting multiple air self attributes and/or composition of air.For example it is assumed that Acquired environmental data includes PM2.5 concentration, TVOC concentration sensor and CO2Concentration, then one or more than one biography Sensor component may include a PM2.5 concentration sensor, a TVOC concentration sensor and a CO2Concentration sensor.Institute State one or more sensor modules and be also possible to a single integrated type sensor, can detect simultaneously PM2.5 concentration, TVOC concentration sensor and CO2Concentration.In some embodiments, one or more than one sensor may include unlimited In PM2.5 concentration sensor, PM10 concentration sensor, TVOC concentration sensor, CO2Concentration sensor, CO concentration sensor, temperature Spend sensor, humidity sensor, air flow rate sensor, SO2 concentration sensor, SO3Concentration sensor, NO2Concentration sensor, NO concentration sensor, NH3Concentration sensor, ozone concentration sensor, concentration of formaldehyde sensor, benzene concentration sensor, toluene are dense Spend sensor, xylene concentration sensor, benzo [a] pyrene concentration sensor, total number of bacteria sensor, radon sensor etc. or its Meaning combination.
In some embodiments, one or more than one sensor module can be mounted in fresh air equipment 110 On fixed sensor component, for example, sensor module 160-1,160-2,160-3 etc., by welding with fresh air Equipment 110 connects.In some embodiments, one or more than one sensor module is also possible to detachable sensing Device assembly.For example, multiple Peripheral Interfaces can be set on new wind devices 110, the sensor module can pass through Peripheral Interface It installs or unloads on new wind devices 110, while being communicatively coupled by Peripheral Interface with new wind devices 110.In some realities It applies in example, one or more than one sensor module can also be distributed sensing device assembly.For example, the sensor Component may be mounted at the other positions in the current scene, for example be installed on indoor each corner, by wireless communication It is connect with new wind devices 110.
In 520, the environmental data can be input to the first detection model, judge the air matter of the current scene It whether exceeded measures.Operation 520 can be executed by first judgment module 420.In some embodiments, first detection model can To be machine learning model.In some embodiments, the machine learning model can be disaggregated model.The disaggregated model packet It includes but is not limited to k- nearest neighbor algorithm (K-Nearest Neighbor, kNN) model, naive Bayesian (Naive Bayes, NB) Model, decision tree (Decision Tree, DT) model, random forest (Random Forests, RF) model, gradient elevator (Gradient Boosting Machines, GBM), support vector machines (Support Vector Machine, SVM), LASSO (Least Absolute Shrinkage and Selection Operator, LASSO), artificial neural network (Artificial Neural Networks, ANN) model etc. or any combination thereof.In some embodiments, first inspection Training can be obtained based on multiple environmental datas and its corresponding air quality result sample by surveying model.The air quality knot Fruit may include that whether air quality exceeded and reason for Exceeding.For example, the air quality result can be air it is exceeded and Room air, which does not circulate, leads to CO2Excessive concentration.The sample is to the history environment data and its correspondence that can be current scene Air quality result sample pair, be also possible to the environmental data acquired under the scene of setting and its corresponding air quality knot Fruit sample pair.It, can be using multiple environmental datas as input, by the corresponding air quality of environmental data during model training As a result it is used as correct standard (Ground Truth), model is trained.Simultaneously (example can be exported with the prediction of computation model Such as, predict air quality result) with correct standard between difference, model parameter is reversely adjusted based on difference, for example, learn Rate, hyper parameter etc..When meeting a certain preset condition, for example, number of training reaches scheduled quantity, the prediction of model is correct Rate is greater than a certain predetermined accuracy threshold value or the value of loss function (Loss Function) is less than a certain preset value, training process It will stop.Model after the completion of training will be designated as first detection model.In some embodiments, will be described current After the environmental data input of scene, first judgment module 420 can be directly based upon first detection model, obtain described current The air quality of scene is as a result, and based on the air quality as a result, determining whether air quality is exceeded.In some embodiments In, whether the whether exceeded concentration that can refer to various composition in air self attributes and/or air of the air quality can be right Human body and/or animals and plants generate Health cost.For example, the air formaldehyde concentration of current scene will cause skin injury to human body With irreversible neurologic impairment, then it can determine that air quality is exceeded.Conversely, if in air the attribute of any ingredient and/or Concentration does not generate Health cost to human body and/or animals and plants, it may be considered that air quality is not exceeded.In some embodiments In, air quality is exceeded to can be one or more of exceeded in various composition concentration in air self attributes and/or air, example Such as, it is exceeded to can be PM2.5, it is all exceeded to be also possible to PM2.5 concentration, TVOC concentration, CO2 concentration, temperature, humidity etc..
In 530, the first prompting message can be generated based on the first judging result of first detection model.Operation 530 can be executed by generation module 430.In some embodiments, first judging result can be directly to air quality Whether exceeded judgement and exceeded reason (if there is) is led to.For example, the first judgement result can be current scene Air quality is good.In another example the first judgement result can be CO in the air of current scene2It is exceeded and lead to CO2It is super Target reason (for example, room closes atmosphere draught-free).First prompting message may include that prompting user's air quality is No exceeded and/or reason for Exceeding.The specific descriptions whether exceeded about air quality can look in the step 520 of this specification It arrives, details are not described herein.The reason for Exceeding can instruct to cause air quality to be more than the one or more of possible of preset threshold Factor.For example, CO in room air2Excessive concentration causes air quality to be more than preset threshold, then reason for Exceeding can be interior Door and window, which closes atmosphere draught-free, leads to CO2Concentration over-standard.In some embodiments, first prompting message can pass through fresh air Equipment 110 and/or terminal 120 remind user.Remind can be by new wind devices 110 and be shown by new wind devices 110 Screen carries out text importing, voice broadcast, buzzer etc. or any combination thereof.For example, new wind devices 110 can be mentioned described first Information of waking up carries out voice broadcast and assists buzzing to remind user.Remind by terminal 120 and can be the general of processing equipment 130 First prompting message via network is sent to terminal 120 to remind user, and alerting pattern can be through wechat, QQ, easily Letter, Fetion, MSN, Line, WhatsApp, iMessage, short message (e.g., voice messaging or text information), fresh air system control First prompting message is sent to terminal 120 by APP etc. or any combination thereof.Alerting pattern can also be called eventually by manual telephone system End 120 is to remind user.
In some embodiments, the environmental data of the current scene and its corresponding first judging result can be upper It passes.For example, the environmental data of the current scene and its corresponding first judging result can be uploaded to storage by network 140 It is stored in equipment 150.In another example the environmental data of the current scene and its corresponding first judging result can pass through Network 140 is uploaded to cloud server to be stored.
The above content describes the application and/or some other examples.According to above content, the application can also be made Different deformations.Herein disclosed theme can be realized with example in different forms, and the application can be applied In a large amount of application program.All applications, modification and change claimed in claim belong to this Shen hereinafter Range please.
Fig. 6 be according to some embodiments of the present invention shown in judge whether fresh air part of appliance needs replacing exemplary Flow chart.In some embodiments, process 600 can be executed by processing logic, which may include hardware (example Such as, circuit, special logic, programmable logic, microcode etc.), (operation is on a processing device to execute the finger of hardware simulation for software Enable) etc. or any combination thereof.It is shown in fig. 6 for judging in process 600 that whether intelligent fresh air system component needs replacing One or more operation can be realized by intelligent fresh air system 100 shown in FIG. 1.For example, process 600 can be with the shape of instruction Formula is stored in storage equipment 150, and is executed by processing equipment 130 and called and/or execute (for example, calculating equipment shown in Fig. 2 The processor 340 of 200 processor 220, mobile device shown in Fig. 3 300).
In 610, the structured data and/or operation data of the available new wind devices 110.Operation 610 can be by First, which obtains module 410, executes.In some embodiments, the structured data can refer to 110 self structure number of fresh air equipment According to, including but not limited to filter core dust containing capacity (CCM), sensor module state, blower/motor status, heat exchanger core rate of heat exchange, Power supply module state, LED status etc. or any combination thereof.The filter core dust containing capacity (CCM) includes the total dust containing capacity of filter core and filter The current dust containing capacity of core.For new wind devices, dust containing capacity can refer under nominal air delivery, and clean air package is (for example, mistake Filter strainer etc.) standard intraocular's dirt gross mass for being captured when reaching whole resistance, for indicating the index of clean air package performance. Dust containing capacity can also be clean air package under rated condition (for example, under nominal air delivery) and defined experimental condition for mesh It marks pollutant (for example, particulate matter and gaseous pollutants etc.) and accumulates detergent power, handled for indicating by clean air package The gross mass of the target contaminant of accumulation purified treatment when the Clean air delivery rate obtained afterwards decays to the 50% of initial value.The filter The total dust containing capacity of core can be the build-in attribute of the clean air package (for example, filter screen etc.) of new wind devices 110, by strainer material Material, thickness and developed area etc. determine.The screen material can choose different combinations, strainer according to different filtration needs Material can be polyester fiber, borosilicate microfibre, load type active carbon, active carbon and microfibre combination strainer, honeycomb on polyurethane Metal material, nano-titania photocatalyst etc..The strainer thickness can influence dust removing effects, but strainer thickness is thicker, Generated windage may be bigger, while the space that thicker strainer occupies is larger, will affect the beauty of new blower entirety.Institute It states strainer developed area and refers to the area after strainer is launched into plane.Strainer developed area determines particulate matter capacity, developed area Bigger, the capacity of particulate matter is more, and the service life of strainer can extend.The current dust containing capacity of filter core can be by filter core dust containing capacity (CCM) detector acquisition.For example, the available new wind devices (for example, new wind devices 110) of filter core dust containing capacity (CCM) detector Operation total duration, air quantity/wind speed during operation, the ingredient of the pollutant in air to be clean and concentration etc., calculate It runs in total time, the total amount for the pollutant that the clean air package (for example, filter screen etc.) of new wind devices 110 is purified.? In some embodiments, the operation data can refer to the operation data in 110 use process of fresh air equipment, including but not limited to Weather conditions etc. or its any group when air quantity, wind speed, motor speed, humidity, temperature, runing time, networking time and operation It closes.
In some embodiments, the structured data and/or operation data can be by one on new wind devices 110 Or acquired in more than one detector and/or sensor module.The detector can be detection single structure data and/or The detector of operation data is also possible to integrated detection device, for detecting multiple structured datas and/or operation data.For example, It is assumed that acquired structured data and/or operation data includes motor status, air quantity and wind speed, then the detector may include One motor status detector, an air volume test device and a wind speed measurement device.The detector be also possible to one it is single Integrated detection module, can simultaneously motor conditions sensed, air quantity and wind speed.In some embodiments, one or one Above detector may include being not limited to filter core dust containing capacity (CCM) detector, sensor module state detector, motor status Detector, heat exchanger core rate of heat exchange detector, power supply module state detector, LED status detector, air volume test device, Weather conditions detector etc. or any combination thereof when wind speed measurement device, motor speed detector, timer, operation.
In some embodiments, the detector can be mounted in the fixed detector in fresh air equipment 110, example Such as, it is connect by welding with new wind devices 110.In some embodiments, one or more than one detection mould Block is also possible to detachable detector.For example, being connect by bolted connection with new wind devices 110.In some implementations In example, one or more than one detector can also be Distributed Detection device.For example, the weather conditions detector can To be installed on outdoor to detect state of weather, and it is connect by wireless communication with new wind devices 110.
In 620, the structured data and/or operation data can be input to the second detection model, judge the intelligence Whether at least one component of energy fresh air system needs replacing.Operation 620 can be executed by first judgment module 420.Some In embodiment, second detection model can be machine learning model.In some embodiments, the machine learning model can To be regression model.The regression model includes but is not limited to Taxonomy and distribution (Classification and Regression Trees, CART) model, gradient promoted decision tree (Gradient Boosting Decision Tree, GBDT) model, xgboost (eXtreme Gradient Boosting), lightweight gradient hoisting machine (Light Gradient Boosting Machine, LightGBM), artificial neural network (Artificial Neural Networks, ANN) model, linear regression (Linear Regression) model, logistic regression (Logistic Regression) model, more Item formula returns (Polynomial regression) model, successive Regression (Stepwise Regression) model, ridge regression (Ridge Regression) model, lasso trick return (Lasso Regression) model, ElasticNet is returned (ElasticNet Regression) model etc. or any combination thereof.In some embodiments, second detection model can be with Part replacement result sample based on multiple structured datas and/or operation data and its corresponding new wind devices 110 is to trained It arrives.The part replacement result of the new wind devices 110 may include whether component is replaced and the reason of changing.For example, the fresh air The part replacement result of equipment 110 can be that filter core dust accumulation amount is excessively high to cause filter core to need replacing.It, can during model training Using by multiple structured datas and/or operation data as input, by the corresponding new wind devices of structured data and/or operation data 110 part replacement result is trained model as correct standard (Ground Truth).It simultaneously can be with computation model Difference between prediction output (for example, prediction unit replacement result) and correct standard, reversely adjusts model parameter based on difference, For example, learning rate, hyper parameter etc..When meeting a certain preset condition, for example, number of training reaches scheduled quantity, model Prediction accuracy be greater than a certain predetermined accuracy threshold value or loss function (Loss Function) value be less than it is a certain default Value, training process will stop.Model after the completion of training will be designated as second detection model.In some embodiments, After by the structured data and/or operation data input, first judgment module 420 can be directly based upon the second detection mould Type obtains the part replacement of the new wind devices 110 as a result, and based on the part replacement as a result, determining new wind devices 110 Whether component needs replacing.
In some embodiments, the component of new wind devices 110 can be sensor module, filter core, heat exchanger core, air hose, Heating component, cooling assembly, humidification component, blower, indicator light, power supply module etc..In some embodiments, the new wind devices Whether 110 component, which needs replacing, can refer to whether the current performance of the component of fresh air equipment 110 has influenced new wind devices 110 Normal operation.For example, if the air filtration poor effect of the strainer of new wind devices 110 is unable to satisfy the requirement of pure air, It may be considered that strainer needs replacing；Conversely, being then changed without.In another example if the air quantity of new wind devices 110 blower normal volume Determine not up to normal value under power to need replacing it may be considered that air hose has breakage；Conversely, being then changed without.In some embodiments In, the component of new wind devices 110 need replacing it is one or more in the component that can be new wind devices 110 need replacing, for example, It can be filter core to need replacing, be also possible to filter core, sensor module, air hose, blower and require to replace.
In some embodiments, first judgment module 420 is also based on second detection model, judges new wind devices Component the advanced replacement time.The advanced replacement time can be the replacement moment of finger apart from one of current time Period a, for example, week, one month, a season etc..Only as an example, for filter core, first judgment module 420 can be with Filter core dust containing capacity under the total dust containing capacity of filter core, current operating conditions (for example, wind speed, air quantity etc.) is input to the second detection mould Type, directly determines whether filter core needs replacing and/or following when needing replacing the predicted time at current time.
In 630, the second prompting message can be generated based on the second judging result of second detection model.Operation 630 can be executed by generation module 430.In some embodiments, second judging result, which can refer to, directly sets fresh air The judgement and the reason of changing (if there is) whether standby 110 one or more components need replacing.For example, described second determines knot The equipment that fruit can be in new wind devices 110 is good, and no replacement is required.In another example the second judgement result can be strainer and need It replaces and the reason of changing (dust containing capacity reaches peak value, can not effectively purify to air).In some embodiments, described Second prompting message may include the unit type and/or the reason of changing for reminding the new wind devices 110 of user to need replacing.The portion Part the reason of changing can be one or more of possible factors that guidance causes component to need replacing.For example, filter core needs replacing, then The reason of changing, which can be dust containing capacity and reach critical point, causes purification function not up to standard.In some embodiments, it described second reminds The alerting pattern of information can be same or like with the alerting pattern of first prompting message.Second prompting message can be with User is reminded by new wind devices 110 and/or terminal 120.Remind by new wind devices 110 can be through new wind devices 110 display screens carry out text importing, voice broadcast, buzzer etc. or any combination thereof.For example, new wind devices 110 can be by institute The first prompting message is stated to carry out voice broadcast and assist buzzing to remind user.Remind by terminal 120 and can be processing First prompting message is sent to terminal 120 via network to remind user by equipment 130, and alerting pattern can be by micro- Letter, QQ, credulity, Fetion, MSN, Line, WhatsApp, iMessage, short message (e.g., voice messaging or text information), fresh air system First prompting message is sent to terminal 120 by system control APP etc. or any combination thereof.Alerting pattern can also pass through manual telephone system Calling terminal 120 is to remind user.In some embodiments, the structured data and/or operation data and its corresponding second Judging result can be uploaded.For example, the structured data and/or operation data and its corresponding second judgement knot can pass through Network 140 is uploaded in storage equipment 150 and is stored.In another example the structured data and/or operation data and its corresponding Second judgement knot, which can be uploaded in the memory of cloud server 700 by network 140, to be stored.
The above content describes the application and/or some other examples.According to above content, the application can also be made Different deformations.Herein disclosed theme can be realized with example in different forms, and the application can be applied In a large amount of application program.All applications, modification and change claimed in claim belong to this Shen hereinafter Range please.
Fig. 7 be according to some embodiments of the present invention shown in exemplary processing devices 700 block diagram.As shown, place Managing equipment 700 may include the second acquisition module 710, the second judgment module 720 and transmission module 730.Processing equipment 700 can be with It is embodied as being located at the processing equipment (for example, cloud server 700) outside new wind devices 110.
Second acquisition module 710 can be used for obtaining the environmental data of current scene.In some embodiments, it second obtains The accessible storage equipment 150 of module 710 is carried out with obtaining to be obtained by the first acquisition module 410 and be uploaded to storage equipment 150 The environmental data of the current scene of caching.In some embodiments, the second acquisition module 710 directly can obtain module with first 410 are communicated, and the environmental data of the current scene is obtained.The acquisition methods of environmental data about the current scene with And the specific descriptions of the environmental data can be found (for example, Fig. 5) in elsewhere in this specification, details are not described herein.
Second acquisition module 710 can be also used for obtaining the structured data and/or operation data of new wind devices 110.One In a little embodiments, second obtains the accessible storage equipment 150 of module 710, with obtain by first obtain the acquisition of module 410 and on Reach the structured data and/or operation data that storage equipment 150 is cached.In some embodiments, second module 710 is obtained It can directly be communicated with the first acquisition module 410, obtain the structured data and/or operation data of new wind devices 110.About The structured data of the new wind devices 110 and/or the specific descriptions of operation data can be found in elsewhere in this specification (for example, Fig. 6), details are not described herein.
Second judgment module 720 can be used for judging that the air quality of the current scene is based on the environmental data It is no exceeded.In some embodiments, the environmental data can be input to the first detection model by the second judgment module 720, be sentenced Whether the air quality for the current scene of breaking is exceeded.In some embodiments, first detection model can be engineering Practise model.In some embodiments, the machine learning model can be disaggregated model.In some embodiments, the air Whether the whether exceeded concentration that can refer to various composition in air self attributes and/or air of quality to human body and/or can be moved Plant generates Health cost.For example, the air formaldehyde concentration of current scene will cause skin injury and irreversible to human body Neurologic impairment can then determine that air quality is exceeded.Conversely, if the attribute of any ingredient and/or concentration is not right in air Human body and/or animals and plants generate Health cost, then can be not exceeded with task air quality.
In some embodiments, the second judgment module 720 can store equipment by inquiry, obtain and the environmental data Corresponding air quality judgement.The storage equipment can be storage equipment 150, be also possible to depositing for processing equipment 700 itself Reservoir.The storage equipment is stored with multiple environmental datas-judging result data pair.The data are to may include environmental data And its corresponding judgement for air quality.In each data pair, corresponding the sentencing for air quality of environmental data It is disconnected to be based on that (for example, obtaining based on process 500) is calculated.Processing equipment 400 is in the environmental data for determining a certain scene It, can will be on the environmental data and its corresponding air quality result judging result after corresponding air quality result judging result In the memory for reaching storage equipment 150 and/or processing equipment 700 (cloud server 700).Second determining module 720 is obtaining After taking a new environmental data, storage equipment 150 and/or processing equipment 700 (cloud server 700) can be directly inquired Memory compares multiple data pair, directly acquires and determines result corresponding to the air quality of new environmental data
In some embodiments, the second judgment module 720 can be also used for based on the structured data and/or run number According to judging whether at least one component of the intelligent fresh air system needs replacing.In some embodiments, the second judgment module The structured data and/or operation data can be input to the second detection model by 720, judge the intelligent fresh air system extremely Whether a few component needs replacing.In some embodiments, second detection model can be machine learning model.One In a little embodiments, the machine learning model can be regression model.In some embodiments, the portion of the new wind devices 110 Whether part, which needs replacing, can refer to whether the current performance of the component of fresh air equipment 110 has influenced the normal of new wind devices 110 Operation.It, can be with for example, if the air filtration poor effect of the strainer of new wind devices 110 is unable to satisfy the requirement of pure air Think that strainer needs replacing；Conversely, being then changed without.In another example if the air quantity of new wind devices 110 blower normal rated power Normal value is not up to down to need replacing it may be considered that air hose has breakage；Conversely, being then changed without.
In some embodiments, the second determining module 720 can store equipment by inquiry, obtain and the structured data And/or the corresponding component capabilities judging result of operation data.The storage equipment can be storage equipment 150, be also possible to locate Manage the memory of equipment 700 itself.The storage equipment is stored with multiple structured datas and/or operation data-judging result number According to right.The data are to may include the structured data and/or operation data and its corresponding judgement for component capabilities. In each data pair, the structured data and/or the corresponding judgement for component capabilities of operation data can be based on Obtain (for example, obtaining based on process 600).A certain modular construction data of the processing equipment 400 in the new wind devices 110 of determination And/or after the corresponding component capabilities result judging result of operation data, can by the structured data and/or operation data and Its corresponding component capabilities result judging result is uploaded to storage equipment 150 and/or processing equipment 700 (cloud server 700) Memory in.Second determining module 720 can be inquired directly after obtaining new a structured data and/or operation data The memory for storing equipment 150 and/or processing equipment 700 (cloud server 700), compares multiple data pair, directly acquires pair The structured data of Ying Yuxin and/or the component capabilities of operation data determine result.
In some embodiments, the second judgment module 720 is also based on second detection model, judges new wind devices Component the advanced replacement time.The advanced replacement time can be the replacement moment of finger apart from one of current time Period a, for example, week, one month, a season etc..Only as an example, for filter core, the second judgment module 720 can be with Filter core dust containing capacity under the total dust containing capacity of filter core, current operating conditions (for example, wind speed, air quantity etc.) is input to the second detection mould Type, directly determines whether filter core needs replacing and/or following when needing replacing the predicted time at current time.
Transmission module 730 can send the first judging result corresponding to the environmental data.In some embodiments, it passes Defeated module 730, which can be sent, to be cached corresponding to the first judging result of the environmental data to equipment 150 is stored, and processing is set Standby 400 can access storage equipment 150 by network 140, to obtain the first testing result corresponding with the environmental data.? In some embodiments, transmission module 730 can also directly transmit first judging result to processing equipment 400.In some realities It applies in example, first judging result, which can be, directly to the whether exceeded judgement of air quality and leads to exceeded reason (such as Fruit has).For example, the air quality that the first judgement result can be current scene is good.In another example described first determines knot Fruit can be CO in the air of current scene2It is exceeded and lead to CO2Exceeded reason (for example, room closes atmosphere draught-free).
Transmission module 730 can be also used for sending the second judgement knot for corresponding to the structured data and/or operation data Fruit.In some embodiments, transmission module 730 can be sent sentences corresponding to the second of the structured data and/or operation data Disconnected result to storage equipment 150 is cached, and processing equipment 400 can store equipment 150 by 140 orientation of network, to obtain The second judging result corresponding with the result data and/or operation data.In some embodiments, transmission module 730 can also To directly transmit second judging result to processing equipment 400.In some embodiments, second judging result can be Refer to the judgement and the reason of changing (if there is) directly whether needed replacing to one or more components of new wind devices 110.For example, The equipment that the second judgement result can be in new wind devices 110 is good, and no replacement is required.In another example described second determines knot Fruit can be needed replacing with strainer and the reason of changing (dust containing capacity reaches peak value, can not effectively purify to air).
It should be appreciated that system shown in Fig. 7 and its module can use various modes to realize.For example, in some implementations In example, system and its module can be realized by the combination of hardware, software or software and hardware.Wherein, hardware components can To be realized using special logic；Software section then can store in memory, by instruction execution system appropriate, for example (,) it is micro- Processor or special designs hardware execute.It will be appreciated by those skilled in the art that meter can be used in above-mentioned method and system It calculation machine executable instruction and/or is included in the processor control code to realize, such as in such as disk, CD or DVD-ROM The programmable memory of mounting medium, such as read-only memory (firmware) or the data of such as optics or electrical signal carrier Such code is provided on carrier.The system and its module of the application can not only have such as super large-scale integration or door The semiconductor or field programmable gate array of array, logic chip, transistor etc., programmable logic device etc. The hardware circuit of programmable hardware device realize, can also be real with such as software as performed by various types of processors It is existing, it can also be by combination (for example, firmware) Lai Shixian of above-mentioned hardware circuit and software.
It should be noted that above description, only for convenience of description, the application can not be limited in illustrated embodiment range Within.It is appreciated that for those skilled in the art, it, can be without departing substantially from this after the principle for understanding the system In the case where principle, various modifications and variations in form and details are carried out to the implementation above method and systematic difference field. However, these change and modification do not depart from scope of the present application.
Fig. 8 be according to some embodiments of the present invention shown in judge the whether exceeded exemplary process diagram of air quality. In some embodiments, process 800 can be executed by processing logic, which may include hardware (for example, electricity Road, special logic, programmable logic, microcode etc.), software (operation is on a processing device to execute the instruction of hardware simulation) etc. Or any combination thereof.It is shown in Fig. 8 to be used to judge one or more in the whether exceeded process 800 of the air quality of current scene A operation can be realized by intelligent fresh air system 100 shown in FIG. 1.For example, process 800 can be stored in the form of instruction It stores in equipment 150, and called and/or executed by the execution of processing equipment 130 (for example, calculating equipment 200 shown in Fig. 2 Manage the processor 340 of device 220, mobile device shown in Fig. 3 300).
In 810, the environmental data of available current scene.Operation 810 can be executed by the second acquisition module 710. In some embodiments, first the environmental data of the available current scene of module 410 is obtained, and institute is uploaded by network 140 State environmental data.For example, being uploaded via the used network 140 of communication port 240.The environmental data of the current scene can be upper It reaches and is cached at storage equipment 150, second obtains the accessible storage equipment 150 of module 710 to obtain the environment number According to.The environmental data of the current scene can also be delivered directly to the second acquisition module 710.About the current scene The specific descriptions of the acquisition methods of environmental data and the environmental data can find (example in elsewhere in this specification Such as, Fig. 5), details are not described herein.
In 820, it can be based on the environmental data, judge whether the air quality of the current scene is exceeded.Operation 820 can be executed by the second determining module 720.In some embodiments, the second determining module 720 can be by the environmental data Output judges whether the air quality of the current scene is exceeded to the first detection model.In some embodiments, described first Detection model can be machine learning model.In some embodiments, the machine learning model can be disaggregated model.About The specific descriptions of first detection model can be found (for example, Fig. 5) in elsewhere in this specification, and details are not described herein.? In some embodiments, after by the input of the environmental data of the current scene, the second judgment module 720 can be directly based upon described First detection model obtains the air quality of the current scene as a result, and based on the air quality as a result, determining air matter It whether exceeded measures.In some embodiments, whether the air quality is exceeded can refer in air self attributes and/or air Whether the concentration of various composition can generate Health cost to human body and/or animals and plants.For example, the formaldehyde in air of current scene is dense Degree will cause skin injury and irreversible neurologic impairment to human body, then can determine that air quality is exceeded.Conversely, if air In any ingredient attribute and/or concentration Health cost is not generated to human body and/or animals and plants, then can be with task air quality It is not exceeded.In some embodiments, air quality is exceeded can be in air self attributes and/or air in various composition concentration It is one or more of exceeded, for example, it may be PM2.5 is exceeded, be also possible to PM2.5 concentration, TVOC concentration, CO2 concentration, temperature, Humidity etc. is all exceeded.
In some embodiments, the second determining module 720 can store equipment by inquiry, obtain and the environmental data Corresponding air quality judgement.The storage equipment can be storage equipment 150, be also possible to depositing for processing equipment 700 itself Reservoir.The storage equipment is stored with multiple environmental datas-judging result data pair.The data are to may include environmental data And its corresponding judgement for air quality.In each data pair, corresponding the sentencing for air quality of environmental data It is disconnected to be based on that (for example, obtaining based on process 500) is calculated.Processing equipment 400 is in the environmental data for determining a certain scene It, can will be on the environmental data and its corresponding air quality result judging result after corresponding air quality result judging result In the memory for reaching storage equipment 150 and/or processing equipment 700 (cloud server 700).Second determining module 720 is obtaining After taking a new environmental data, storage equipment 150 and/or processing equipment 700 (cloud server 700) can be directly inquired Memory compares multiple data pair, directly acquires and determines result corresponding to the air quality of new environmental data
In 830, the first judging result corresponding to the environmental data can be sent.Operation 830 can be by transmission mould Block 730 executes.In some embodiments, transmission module 730 can send the first judging result corresponding to the environmental data To storage equipment 150 cached, processing equipment 400 can by network 140 access storage equipment 150, with obtain with it is described Corresponding first testing result of environmental data.In some embodiments, transmission module 730 can also directly transmit described first and sentence Disconnected result is to processing equipment 400.In some embodiments, whether first judging result can be directly surpasses air quality Target determines and causes exceeded reason (if there is).For example, the first judgement result can be the air matter of current scene Amount is good.In another example the first judgement result can be CO in the air of current scene2It is exceeded and lead to CO2Exceeded original Because of (for example, room closes atmosphere draught-free).
In some embodiments, after processing equipment 400 receives first judging result, the first prompting letter can be generated Breath.Whether first prompting message may include reminding user's air quality exceeded and/or reason for Exceeding.The reason for Exceeding It can instruct the one or more of possible factors for causing air quality to be more than preset threshold.For example, CO in room air2Concentration mistake Height causes air quality to be more than preset threshold, then reason for Exceeding, which can be indoor doors or windows and close atmosphere draught-free, leads to CO2Concentration It is exceeded.In some embodiments, first prompting message can remind user by new wind devices 110 and/or terminal 120. Remind can be by new wind devices 110 and text importing, voice broadcast, buzzing are carried out by new 110 display screen of wind devices Device etc. or any combination thereof.For example, first prompting message can be carried out voice broadcast and assist buzzing by new wind devices 110 To remind user.Remind by terminal 120 can be processing equipment 130 and sends first prompting message via network To terminal 120 to remind user, alerting pattern can be by wechat, QQ, credulity, Fetion, MSN, Line, WhatsApp, IMessage, short message (e.g., voice messaging or text information), fresh air system control APP etc. or any combination thereof are reminded first Information is sent to terminal 120.Alerting pattern can also be by manual telephone system calling terminal 120 to remind user.
It should be noted that above description, only for convenience of description, the application can not be limited in illustrated embodiment range Within.It is appreciated that for those skilled in the art, it, can be without departing substantially from this after the principle for understanding the system In the case where principle, various modifications and variations in form and details are carried out to the implementation above method and systematic difference field.
Fig. 9 be according to some embodiments of the present invention shown in judge whether fresh air part of appliance needs replacing exemplary Flow chart.In some embodiments, process 900 can be executed by processing logic, which may include hardware (example Such as, circuit, special logic, programmable logic, microcode etc.), (operation is on a processing device to execute the finger of hardware simulation for software Enable) etc. or any combination thereof.It is shown in Fig. 9 for judging in process 900 that whether intelligent fresh air system component needs replacing One or more operation can be realized by intelligent fresh air system 100 shown in FIG. 1.For example, process 900 can be with the shape of instruction Formula is stored in storage equipment 150, and is executed by processing equipment 130 and called and/or execute (for example, calculating equipment shown in Fig. 2 The processor 340 of 200 processor 220, mobile device shown in Fig. 3 300).
In 910, the structured data and/or operation data of the available new wind devices 110.Operation 910 can be by Second, which obtains module 710, executes.In some embodiments, first the available structured data of module 410 and/or fortune are obtained Row data, and the structured data and/or operation data are uploaded by network 140.For example, via the used net of communication port 240 Network 140 uploads.The structured data and/or operation data can be uploaded at storage equipment 150 and be cached, and second obtains The accessible storage equipment 150 of module 710 is to obtain the environmental data.The environmental data of the current scene can also be straight It connects and is transmitted to the second acquisition module 710.About the structured data of the new wind devices 110 and/or the specific descriptions of operation data It can be found in elsewhere in this specification (for example, Fig. 6), details are not described herein.
In 920, it can be based on the structured data and/or operation data, judge at least the one of the new wind devices 110 Whether a component needs replacing.Operation 920 can be executed by the second determining module 720.In some embodiments, second mould is determined Block 720, which is held, can be input to the second detection model for the structured data and/or operation data, judge new wind devices 110 extremely Whether a few component needs replacing.In some embodiments, second detection model can be machine learning model.One In a little embodiments, the machine learning model can be regression model.Specific descriptions about the second detection model can be at this Specification finds (for example, Fig. 6) elsewhere, and details are not described herein.In some embodiments, by the structured data And/or after operation data input, the second judgment module 720 can be directly based upon second detection model, obtain the fresh air The part replacement of equipment 110 is as a result, and based on the part replacement as a result, determining whether the component of new wind devices 110 needs more It changes.In some embodiments, whether the component of the new wind devices 110 needs replacing the component that can refer to fresh air equipment 110 Current performance whether influenced the normal operations of new wind devices 110.For example, if the air filtration of the strainer of new wind devices 110 Poor effect is unable to satisfy the requirement of pure air, it may be considered that strainer needs replacing；Conversely, being then changed without.In another example if The air quantity of new wind devices 110 is not up to normal value under the normal rated power of blower and needs it may be considered that air hose has breakage Replacement；Conversely, being then changed without.
In some embodiments, the second determining module 720 can store equipment by inquiry, obtain and the structured data And/or the corresponding component capabilities judging result of operation data.The storage equipment can be storage equipment 150, be also possible to locate Manage the memory of equipment 700 itself.The storage equipment is stored with multiple structured datas and/or operation data-judging result number According to right.The data are to may include the structured data and/or operation data and its corresponding judgement for component capabilities. In each data pair, the structured data and/or the corresponding judgement for component capabilities of operation data can be based on Obtain (for example, obtaining based on process 600).A certain modular construction data of the processing equipment 400 in the new wind devices 110 of determination And/or after the corresponding component capabilities result judging result of operation data, can by the structured data and/or operation data and Its corresponding component capabilities result judging result is uploaded to storage equipment 150 and/or processing equipment 700 (cloud server 700) Memory in.Second determining module 720 can be inquired directly after obtaining new a structured data and/or operation data The memory for storing equipment 150 and/or processing equipment 700 (cloud server 700), compares multiple data pair, directly acquires pair The structured data of Ying Yuxin and/or the component capabilities of operation data determine result.
In some embodiments, step 920 further comprises predicting the part replacement time of the new wind devices 110, example Such as, the second detection model according under the total dust containing capacity of filter core, current operating conditions filter core dust containing capacity and history dust containing capacity prediction filter Core replacing construction.
In 930, the second judging result corresponding to the structured data and/or operation data can be sent.Operation 930 It can be executed by transmission module 730.In some embodiments, transmission module 730 can send corresponding to the structured data and/ Or the second judging result of operation data to storage equipment 150 is cached, processing equipment 400 can pass through 140 orientation of network Equipment 150 is stored, to obtain the second judging result corresponding with the result data and/or operation data.In some embodiments In, transmission module 730 can also directly transmit second judging result to processing equipment 400.In some embodiments, described Second judging result can refer to the judgement and replacement directly whether needed replacing to one or more components of new wind devices 110 Reason (if there is).For example, the equipment that the second judgement result can be in new wind devices 110 is good, no replacement is required.Example again Such as, it is described second judgement result can be needed replacing with strainer and the reason of changing (dust containing capacity reaches peak value, can not be effectively to air It is purified).
In some embodiments, after processing equipment 400 receives second judging result, the second prompting letter can be generated Breath.Second prompting message may include that the unit type for reminding the new wind devices 110 of user to need replacing and/or replacement are former Cause.The part replacement reason can be one or more of possible factors that guidance causes component to need replacing.For example, filter core needs It replaces, then the reason of changing, which can be dust containing capacity and reach critical point, causes purification function not up to standard.Second prompting message Alerting pattern can be same or like with the alerting pattern of first prompting message.Second prompting message can be by new Wind devices 110 and/or terminal 120 remind user.Remind can be by new wind devices 110 and be shown by new wind devices 110 Display screen carries out text importing, voice broadcast, buzzer etc. or any combination thereof.For example, new wind devices 110 can be by described first Prompting message carries out voice broadcast and assists buzzing to remind user.Remind by terminal 120 and can be processing equipment 130 First prompting message via network is sent to terminal 120 to remind user, alerting pattern can be by wechat, QQ, Credulity, Fetion, MSN, Line, WhatsApp, iMessage, short message (e.g., voice messaging or text information), fresh air system control First prompting message is sent to terminal 120 by APP etc. or any combination thereof.Alerting pattern can also be called eventually by manual telephone system End 120 is to remind user.
It should be noted that above description, only for convenience of description, the application can not be limited in illustrated embodiment range Within.It is appreciated that for those skilled in the art, it, can be without departing substantially from this after the principle for understanding the system In the case where principle, various modifications and variations in form and details are carried out to the implementation above method and systematic difference field.
Compared with prior art, the possible beneficial effect of the application the above various embodiments includes but is not limited to:
(1) machine learning model is utilized, the environmental data in the application scenarios of fresh air system is handled, fast accurate Ground judge fresh air system be presently in scene air quality it is whether exceeded and obtain air quality reason for Exceeding, and then give user It sends and reminds, improve the intelligence degree of fresh air system, the user experience is improved spends.
(2) according to the structured data of fresh air system and/or operation data, fresh air system is determined based on machine learning model Whether component needs replacing and replacing construction, and then sends and remind to user, and the user experience is improved spends.
It should be noted that the different issuable beneficial effects of embodiment are different, in different embodiments, may produce Raw beneficial effect can be the combination of any of the above one or more, be also possible to other it is any can it is obtainable beneficial to effect Fruit.
The above content describes the application and/or some other examples.According to above content, the application can also be made Different deformations.Herein disclosed theme can be realized with example in different forms, and the application can be applied In a large amount of application program.All applications, modification and change claimed in claim belong to the application's Range.
Meanwhile the application has used particular words to describe embodiments herein.Such as " one embodiment ", " one implements Example ", and/or " some embodiments " mean a certain feature relevant at least one embodiment of the application, structure or feature.Cause This, it should be highlighted that and it is noted that " embodiment " or " an implementation referred to twice or repeatedly in this specification in different location Example " or " alternate embodiment " are not necessarily meant to refer to the same embodiment.In addition, in one or more embodiments of the application Certain features, structure or feature can carry out combination appropriate.
It will be appreciated by those skilled in the art that a variety of variations and modifications can occur in content disclosed herein.For example, Different system components described above are all to be realized by hardware device, but may also only pass through the solution party of software Case is achieved.Such as: the installation system on existing server.In addition, the offer of location information described herein may It is to be achieved by a firmware, the combination of firmware/software, the combination of firmware/hardware or the combination of hardware/firmware/software.
All softwares or in which a part there may come a time when to be communicated by network, such as internet or other communication networks Network.Software can be loaded into another from a computer equipment or processor by such communication.Such as: from intelligent fresh air system A management server or host computer be loaded onto a computer environment hardware platform or other realize systems meter Calculation machine environment, or to the system for judge the relevant similar functions of the whether exceeded required information of air quality is provided.Therefore, separately A kind of medium that can transmit software element is also used as the physical connection between local devices, such as light wave, electric wave, electricity Magnetic wave etc. is realized by cable, optical cable or air and is propagated.For physical medium such as cable, wireless connection or the optical cable of carrier wave Equal similar devices, are also considered the medium of carrying software.Usage herein is situated between unless limiting tangible " storage " Matter, other indicate that the term of computer or machine " readable medium " all indicates to participate in during processor executes any instruction Medium.
Computer program code needed for the operation of the application each section can use any one or more programming language, Including Object-Oriented Programming Language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python etc., conventional procedural programming language for example C language, Visual Basic, 2003 Fortran, Perl, COBOL 2002, PHP, ABAP, dynamic programming language such as Python, Ruby and Groovy or other programming languages etc..The program coding can be complete Entirely on the user computer run run on the user computer as independent software package or partially in subscriber computer Upper operation part runs in remote computer or runs on a remote computer or server completely.In the latter cases, remotely Computer can be connect by any latticed form with subscriber computer, for example, local area network (LAN) or wide area network (WAN), or even It is connected to outer computer (such as passing through internet), or in cloud computing environment, or is serviced as service using such as software (SaaS)。
In addition, except clearly stating in non-claimed, the sequence of herein described processing element and sequence, digital alphabet Using or other titles use, be not intended to limit the sequence of the application process and method.Although by each in above-mentioned disclosure Kind of example discuss it is some it is now recognized that useful inventive embodiments, but it is to be understood that, such details only plays explanation Purpose, appended claims are not limited in the embodiment disclosed, on the contrary, claim is intended to cover and all meets the application The amendment and equivalent combinations of embodiment spirit and scope.For example, although system component described above can be set by hardware It is standby to realize, but can also be only achieved by the solution of software, such as pacify on existing server or mobile device Fill described system.
Similarly, it is noted that in order to simplify herein disclosed statement, to help real to one or more invention Apply the understanding of example, above in the description of the embodiment of the present application, sometimes by various features merger to one embodiment, attached drawing or In descriptions thereof.But this disclosure method is not meant to mention in aspect ratio claim required for the application object And feature it is more.In fact, the feature of embodiment will be less than whole features of the single embodiment of above-mentioned disclosure.
The number of description attribute, quantity is used in some embodiments, it should be appreciated that such to describe for embodiment Number, used qualifier " about ", " approximation " or " generally " to modify in some instances.Unless otherwise stated, " big About ", " approximation " or " generally " show the variation that the number allows to have ± 20%.Correspondingly, in some embodiments, explanation Numerical parameter used in book and claim is approximation, and approximation feature according to needed for separate embodiment can occur Change.In some embodiments, the method that numerical parameter is considered as defined significant digit and is retained using general digit.Although Numerical Range and parameter in some embodiments of the application for confirming its range range are approximation, in a particular embodiment, this Being set in for class numerical value is reported as precisely as possible in feasible region.
For each patent, patent application, patent application publication object and the other materials of the application reference, such as article, book Entire contents are incorporated herein as reference by nationality, specification, publication, document, object etc., spy.Not with teachings herein Except application history file that is consistent or generating conflict, to the conditional file of the claim of this application widest scope (it is current or Be additional in the application later) also except.It should be noted that if description in the application attaching material, definition and/ Or the use of term with it is herein described it is interior have place that is inconsistent or conflicting, with the description of the present application, definition and/or term Use subject to.
Finally, it will be understood that embodiment described herein is only to illustrate the principle of the embodiment of the present application.Other Deformation may also belong to scope of the present application.Therefore, as an example, not a limit, the alternative configuration of the embodiment of the present application is visual It is consistent with teachings of the present application.Correspondingly, embodiments herein is not limited to the embodiment that the application is clearly introduced and described.

Claims (27)

1. a kind of intelligent fresh air system information prompting method, which is characterized in that the described method includes:
Obtain the environmental data of current scene；
The environmental data is input to the first detection model, judges whether the air quality of the current scene is exceeded, wherein First detection model is machine learning model；
Based on the first judging result of first detection model, the first prompting message is generated.
2. the method according to claim 1, wherein the method further includes:
Obtain the structured data and/or operation data of intelligent fresh air system；
The structured data and/or operation data are input to the second detection model, judge the intelligent fresh air system at least Whether one component needs replacing, wherein second detection model is machine learning model；
Based on the second judging result of second detection model, the second prompting message is generated.
3. the method according to claim 1, wherein the environmental data include it is following at least one:
PM2.5 concentration, CO2Concentration, concentration of formaldehyde, TVOC concentration and temperature and humidity.
4. the method according to claim 1, wherein the environmental data for obtaining current scene includes:
By be located on the intelligent fresh air system or except the current scene that is captured of one or more sensor module Environmental data.
5. according to the method described in claim 4, it is characterized in that, the sensor module comprises at least one of the following: fixed Formula sensor module, detachable sensor module and distributed sensing device assembly.
6. the method according to claim 1, wherein first detection model is disaggregated model.
7. the method according to claim 1, wherein first prompting message includes whether air quality is exceeded And/or reason for Exceeding, alerting pattern comprise at least one of the following: wechat, short message, phone, buzzing, intelligent fresh air display screen text Prompting or voice reminder.
8. according to the method described in claim 2, it is characterized in that, at least one component of the intelligent fresh air system includes:
Sensor module, strainer, air hose, heating component, cooling assembly, humidification component or blower.
9. according to the method described in claim 2, it is characterized in that, second detection model is regression model.
10. according to the method described in claim 2, it is characterized in that, second prompting message include the component that needs to change and/ Or reason, alerting pattern comprise at least one of the following: wechat, short message, phone, buzzing, intelligent fresh air display screen text remind or Voice messaging.
11. according to the method described in claim 2, it is characterized in that, second prompting message further comprises: at least one The advanced replacement time of component.
12. method according to claim 1 or 2, which is characterized in that the method further includes:
Upload the environmental data of the current scene and its structured data of corresponding first judging result and/or intelligent fresh air system And/or operation data and its corresponding second judging result.
13. a kind of intelligent fresh air system information prompting system, which is characterized in that the system comprises at least one processor and extremely Few storage equipment, the storage equipment for storing instruction, when at least one described processor execution described instruction, institute Processor is stated to be used for:
Obtain the environmental data of current scene；
The environmental data is input to the first detection model, judges whether the air quality of the current scene is exceeded, wherein First detection model is machine learning model；
Based on the first judging result of first detection model, the first prompting message is generated.
14. a kind of intelligent fresh air system information prompting system, which is characterized in that the system comprises first to obtain module, first Judgment module and generation module；
Described first obtains module, for obtaining the environmental data of current scene；
The first judgment module judges the current scene for the environmental data to be input to the first detection model Whether air quality is exceeded, wherein first detection model is machine learning model；
The generation module generates the first prompting message for the first judging result based on first detection model.
15. a kind of computer readable storage medium, which is characterized in that the storage medium stores computer program, works as computer After reading the computer program in storage medium, the following operation of computer operation:
Obtain the environmental data of current scene；
The environmental data is input to the first detection model, judges whether the air quality of the current scene is exceeded, wherein First detection model is machine learning model；
Based on the first judging result of first detection model, the first prompting message is generated.
16. a kind of intelligent fresh air system information prompting method, which is characterized in that the described method includes:
Obtain the environmental data of current scene；
Upload the environmental data；
Receive the first judging result for corresponding to the environmental data；
Based on the first judging result of first detection model, the first prompting message is generated.
17. according to the method for claim 16, which is characterized in that the method further includes:
Obtain the structured data and/or operation data of intelligent fresh air system；
Upload the structured data and/or operation data；
Receive the second judging result for corresponding to the structured data and/or operation data；
Based on second judging result, the second prompting message is generated.
18. a kind of intelligent fresh air system information prompting method, is realized by least one processor characterized by comprising
Obtain the environmental data of current scene；
Based on the environmental data, judge whether the air quality of the current scene is exceeded；
Send the first judging result for corresponding to the environmental data.
19. according to the method for claim 18, which is characterized in that the method further includes:
Obtain the structured data and/or operation data of intelligent fresh air system；
Based on the structured data and/or operation data, judge whether at least one component of the intelligent fresh air system needs Replacement；
Send the second judging result for corresponding to the structured data and/or operation data.
20. according to the method for claim 18, which is characterized in that the method further includes:
It receives and/or stores the environmental data of the current scene and its correspond to the first judging result and/or intelligent fresh air system Structured data and/or operation data and its corresponding second judging result to storing equipment.
21. according to the method for claim 18, which is characterized in that it is described to be based on the environmental data, judge described current Whether the air quality of scene is exceeded, comprising:
The environmental data is input to the first detection model, judges whether the air quality of the current scene is exceeded, wherein First detection model is machine learning model.
22. according to the method for claim 18, which is characterized in that it is described to be based on the environmental data, judge described current Whether the air quality of scene is exceeded, comprising:
The storage equipment is inquired, the first judging result corresponding with the environmental data is obtained.
23. according to the method for claim 19, which is characterized in that it is described to be based on the structured data and/or operation data, Judge whether at least one component of the intelligent fresh air system needs replacing, comprising:
The structured data and/or operation data are input to the second detection model, judge the intelligent fresh air system at least Whether one component needs replacing, wherein second detection model is machine learning model.
24. according to the method for claim 19, which is characterized in that it is described to be based on the structured data and/or operation data, Judge whether at least one component of the intelligent fresh air system needs replacing, comprising:
The storage equipment is inquired, the second testing result corresponding with the structured data and/or operation data is obtained.
25. a kind of intelligent fresh air system information prompting system, which is characterized in that the system comprises at least one processor and extremely Few storage equipment, the storage equipment are for storing instruction, real when at least one described processor executes described instruction Now following operation:
Obtain the environmental data of current scene；
Based on the environmental data, judge whether the air quality of the current scene is exceeded；
Send the first judging result for corresponding to the environmental data.
26. a kind of intelligent fresh air system information prompting system, the system comprises second to obtain module, the second determining module and biography Defeated module；
Described second obtains module, for obtaining the environmental data of current scene；
Second judgment module judges whether the air quality of the current scene is exceeded for being based on the environmental data；
The transmission module, for sending the second judging result for corresponding to the structured data and/or operation data.
27. a kind of computer readable storage medium, which is characterized in that the storage medium stores computer program, works as computer After reading the computer program in storage medium, the following operation of computer operation:
Obtain the environmental data of current scene；
Based on the environmental data, judge whether the air quality of the current scene is exceeded；
Send the first judging result for corresponding to the environmental data.
CN201811463492.2A 2018-11-30 2018-11-30 Intelligent fresh air system information prompting method, system and storage medium Pending CN109489183A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811463492.2A CN109489183A (en) 2018-11-30 2018-11-30 Intelligent fresh air system information prompting method, system and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811463492.2A CN109489183A (en) 2018-11-30 2018-11-30 Intelligent fresh air system information prompting method, system and storage medium

Publications (1)

Publication Number Publication Date
CN109489183A true CN109489183A (en) 2019-03-19

Family

ID=65698231

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811463492.2A Pending CN109489183A (en) 2018-11-30 2018-11-30 Intelligent fresh air system information prompting method, system and storage medium

Country Status (1)

Country Link
CN (1) CN109489183A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110398569A (en) * 2019-07-08 2019-11-01 广东美的暖通设备有限公司 Detection of Air Quality method, system and the new blower of new blower
CN111220769A (en) * 2018-11-26 2020-06-02 中国移动通信集团安徽有限公司 Air quality detection system, method, equipment and computer storage medium
CN111581602A (en) * 2020-05-07 2020-08-25 南京信息工程大学 Air quality index self-adaptive prediction voice system
CN112612213A (en) * 2020-11-25 2021-04-06 珠海格力电器股份有限公司 Automatic control method and system for multi-environment equipment, medium and air purifier
CN112984712A (en) * 2019-12-02 2021-06-18 佛山市云米电器科技有限公司 Control method of fresh air system, fresh air system and computer readable storage medium
CN112984753A (en) * 2019-12-02 2021-06-18 佛山市云米电器科技有限公司 Control method of fresh air system, fresh air system and computer readable storage medium
CN114067520A (en) * 2021-12-08 2022-02-18 深圳市衡益科技有限责任公司 Lithium battery fire early warning device
TWI774082B (en) * 2020-10-13 2022-08-11 台達電子工業股份有限公司 Cabinet with a function of filter life prediction and method of predicting filter life
CN117236528A (en) * 2023-11-15 2023-12-15 成都信息工程大学 Ozone concentration forecasting method and system based on combined model and factor screening

Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10348164A1 (en) * 2003-10-17 2005-05-25 Daimlerchrysler Ag Car air conditioning control unit to reduce danger of overheating for persons in stationary cars has temperature, CO2 and overheating sensors, local and mobile phone alarms
JP2011231757A (en) * 2010-04-28 2011-11-17 Shoichi Matsuoka Mechanism of combination power generation utilizing hydraulic power and wind power
CN103197659A (en) * 2013-04-22 2013-07-10 上海交通大学 Self-adaptive control method for dynamic optimization of environment quality
CN203385155U (en) * 2013-08-09 2014-01-08 上海置中建筑智能化工程有限公司 Building intellectualization indoor air environmental monitoring system
CN103673220A (en) * 2012-09-25 2014-03-26 天津市亨瑞系统控制工程有限公司 Automatic control system of fresh air unit
CN104235957A (en) * 2014-10-14 2014-12-24 北京恒泰实达科技股份有限公司 Indoor air purification system and method
CN204153923U (en) * 2014-10-21 2015-02-11 深圳市民润环保科技有限公司 A kind of Automatic Control stepless time adjustment New-air purifying system
CN204331430U (en) * 2014-12-05 2015-05-13 北京格弗森科技有限公司 A kind of new blower fan remote supervisory and control(ling) equipment
CN105717960A (en) * 2014-12-04 2016-06-29 台达电子工业股份有限公司 Environmental comfort level control system and method
CN105929882A (en) * 2016-07-15 2016-09-07 北京赛易科信息技术有限公司 Method, device and system for detecting, regulating and controlling indoor environments
CN106124699A (en) * 2016-06-16 2016-11-16 上海应用技术学院 A kind of intelligent air quality Real-Time Evaluation device and control method thereof
CN107178862A (en) * 2016-03-11 2017-09-19 杨辉 A kind of convenient fresh air purifier suitable for sliding window
CN206648249U (en) * 2017-03-02 2017-11-17 广州亚禾电子科技有限公司 A kind of new blower fan control system of Intelligent internet of things
CN107763807A (en) * 2017-11-28 2018-03-06 上海达实联欣科技发展有限公司 A kind of BIM Intelligent air conditioner control systems
CN108051547A (en) * 2017-12-12 2018-05-18 大连理创科技有限公司 It is a kind of that there is the air quality monitoring system of real-time early warning
CN108211556A (en) * 2017-12-25 2018-06-29 加丁（天津）科技有限公司 Strainer life forecast method and air cleaning unit based on dust containing capacity
CN108317664A (en) * 2017-12-21 2018-07-24 珠海格力电器股份有限公司 Method and device for prompting condition of filter screen
CN108444072A (en) * 2018-02-09 2018-08-24 北京东方计量测试研究所 Fresh air system control module
CN108870642A (en) * 2018-04-27 2018-11-23 苏州倍安电子科技有限公司 Fresh air purifier filter network state self checking method

Patent Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10348164A1 (en) * 2003-10-17 2005-05-25 Daimlerchrysler Ag Car air conditioning control unit to reduce danger of overheating for persons in stationary cars has temperature, CO2 and overheating sensors, local and mobile phone alarms
JP2011231757A (en) * 2010-04-28 2011-11-17 Shoichi Matsuoka Mechanism of combination power generation utilizing hydraulic power and wind power
CN103673220A (en) * 2012-09-25 2014-03-26 天津市亨瑞系统控制工程有限公司 Automatic control system of fresh air unit
CN103197659A (en) * 2013-04-22 2013-07-10 上海交通大学 Self-adaptive control method for dynamic optimization of environment quality
CN203385155U (en) * 2013-08-09 2014-01-08 上海置中建筑智能化工程有限公司 Building intellectualization indoor air environmental monitoring system
CN104235957A (en) * 2014-10-14 2014-12-24 北京恒泰实达科技股份有限公司 Indoor air purification system and method
CN204153923U (en) * 2014-10-21 2015-02-11 深圳市民润环保科技有限公司 A kind of Automatic Control stepless time adjustment New-air purifying system
CN105717960A (en) * 2014-12-04 2016-06-29 台达电子工业股份有限公司 Environmental comfort level control system and method
CN204331430U (en) * 2014-12-05 2015-05-13 北京格弗森科技有限公司 A kind of new blower fan remote supervisory and control(ling) equipment
CN107178862A (en) * 2016-03-11 2017-09-19 杨辉 A kind of convenient fresh air purifier suitable for sliding window
CN106124699A (en) * 2016-06-16 2016-11-16 上海应用技术学院 A kind of intelligent air quality Real-Time Evaluation device and control method thereof
CN105929882A (en) * 2016-07-15 2016-09-07 北京赛易科信息技术有限公司 Method, device and system for detecting, regulating and controlling indoor environments
CN206648249U (en) * 2017-03-02 2017-11-17 广州亚禾电子科技有限公司 A kind of new blower fan control system of Intelligent internet of things
CN107763807A (en) * 2017-11-28 2018-03-06 上海达实联欣科技发展有限公司 A kind of BIM Intelligent air conditioner control systems
CN108051547A (en) * 2017-12-12 2018-05-18 大连理创科技有限公司 It is a kind of that there is the air quality monitoring system of real-time early warning
CN108317664A (en) * 2017-12-21 2018-07-24 珠海格力电器股份有限公司 Method and device for prompting condition of filter screen
CN108211556A (en) * 2017-12-25 2018-06-29 加丁（天津）科技有限公司 Strainer life forecast method and air cleaning unit based on dust containing capacity
CN108444072A (en) * 2018-02-09 2018-08-24 北京东方计量测试研究所 Fresh air system control module
CN108870642A (en) * 2018-04-27 2018-11-23 苏州倍安电子科技有限公司 Fresh air purifier filter network state self checking method

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111220769A (en) * 2018-11-26 2020-06-02 中国移动通信集团安徽有限公司 Air quality detection system, method, equipment and computer storage medium
CN110398569A (en) * 2019-07-08 2019-11-01 广东美的暖通设备有限公司 Detection of Air Quality method, system and the new blower of new blower
CN112984712A (en) * 2019-12-02 2021-06-18 佛山市云米电器科技有限公司 Control method of fresh air system, fresh air system and computer readable storage medium
CN112984753A (en) * 2019-12-02 2021-06-18 佛山市云米电器科技有限公司 Control method of fresh air system, fresh air system and computer readable storage medium
CN112984712B (en) * 2019-12-02 2022-09-30 佛山市云米电器科技有限公司 Control method of fresh air system, fresh air system and computer readable storage medium
CN111581602A (en) * 2020-05-07 2020-08-25 南京信息工程大学 Air quality index self-adaptive prediction voice system
TWI774082B (en) * 2020-10-13 2022-08-11 台達電子工業股份有限公司 Cabinet with a function of filter life prediction and method of predicting filter life
CN112612213A (en) * 2020-11-25 2021-04-06 珠海格力电器股份有限公司 Automatic control method and system for multi-environment equipment, medium and air purifier
CN112612213B (en) * 2020-11-25 2022-04-29 珠海格力电器股份有限公司 Automatic control method and system for multi-environment equipment, medium and air purifier
CN114067520A (en) * 2021-12-08 2022-02-18 深圳市衡益科技有限责任公司 Lithium battery fire early warning device
CN117236528A (en) * 2023-11-15 2023-12-15 成都信息工程大学 Ozone concentration forecasting method and system based on combined model and factor screening
CN117236528B (en) * 2023-11-15 2024-01-23 成都信息工程大学 Ozone concentration forecasting method and system based on combined model and factor screening

Similar Documents

Publication Publication Date Title
CN109489183A (en) Intelligent fresh air system information prompting method, system and storage medium
CN109489171A (en) A kind of control method of intelligent fresh air system, system, device and storage medium
US11792039B2 (en) Building management system with space graphs including software components
US20220122435A1 (en) Systems and Methods for Categorizing Motion Events
US10251242B1 (en) Information and hub lights
Jo et al. Intelligent smart home energy efficiency model using artificial TensorFlow engine
US10380429B2 (en) Methods and systems for person detection in a video feed
CN105579994B (en) Interoperability mechanisms for Internet of Things integrated platform
CN110324168A (en) Anomalous event monitoring method and device and electronic equipment
CN105122322A (en) Control center for air sampling controlled environments
CN105938327A (en) Distributed smart home control system and method
KR20180039821A (en) Method for monitoring system control and electronic device supporting the same
CN116703352B (en) Clean room intelligent operation and maintenance system and method based on digital twin
AU2024219353A1 (en) Building management system with space graph
US20230195066A1 (en) Building data platform with policy learning for digital twins
US20230070313A1 (en) Building data platform with air quality analysis based on mobile air quality sensors
US20240086740A1 (en) Building data platform with digital twin triggers and actions
US20230392813A1 (en) Building equipment and environmental control system for a healthcare facility
US20230153648A1 (en) Building data platform with digital twin inferences
CN111291441B (en) Intelligent building integration method and system based on object modeling driving
US20230185983A1 (en) Building data platform with high level digital twins
CN116619972A (en) Method, device, equipment and storage medium for detecting service life of vehicle-mounted air conditioner filter element
Aziz et al. Real time monitoring critical parameters in tissue culture growth room with SMS alert system
WO2023027735A1 (en) Collaborative environmental sensor networks for indoor air quality
Fazenda et al. Context-based reasoning in smart buildings

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190319