CN103616863A - Risk forecast method for household air conditioner and household refrigerator - Google Patents
Risk forecast method for household air conditioner and household refrigerator Download PDFInfo
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- CN103616863A CN103616863A CN201310592921.7A CN201310592921A CN103616863A CN 103616863 A CN103616863 A CN 103616863A CN 201310592921 A CN201310592921 A CN 201310592921A CN 103616863 A CN103616863 A CN 103616863A
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Abstract
The invention discloses a risk forecast method for a household air conditioner and a household refrigerator. The method comprises the following steps that (1), a home wireless sensor network is established, namely, the zigbee technology is adopted indoors, and the home wireless sensor network is formed by a digital home server which is taken as the center, an air conditioner measuring socket, a temperature and humidity sensor, the refrigerator, a refrigerator measuring socket and a refrigerator freezing chamber temperature sensor; (2), the digital home server uploads power and temperature and humidity data measured by the measuring sockets and the temperature and humidity sensor into a home appliance risk forecast system server, and the home appliance risk forecast system server conducts calculation and analysis based on the uploaded data. The risk forecast method for the household air conditioner and the household refrigerator has the advantages that potential faults existing in the air conditioner can be found as soon as possible when the working state of the household air conditioner is detected, fault risk reminding and expert advices or maintenance data are supplied to users, so that the air conditioner is maintained as soon as possible, and more serious undesirable effects are avoided.
Description
Technical field
The home appliance risk the invention belongs in household electrical appliances remote control technology is estimated field.Be specifically related to the risk predictor method of a kind of domestic air conditioning and refrigerator.
Background technology
Home appliance in use, for relatively obvious fault as the alarm of can finding in time and blow a whistle of the faults such as fan electromotor fault, washing machine drainage system jams.But the fault that some is trickle, can also be used in function, and performance is not clearly, but can cause, expend electric weight, in the course of work, not according to the parameter setting in advance, carry out work.User is in use often difficult to the fault of finding that this work is bad, until equipment cisco unity malfunction just can pinpoint the problems maybe can not work time, that is the device in exchange device more, and the expense of changing device element is sometimes very expensive.
Summary of the invention
The problem to be solved in the present invention is to provide a kind of domestic air conditioning risk predictor method, can find early that air-conditioning equipment exists incipient fault, repairs early, prevents from causing more serious loss.
Technical scheme of the present invention is: the risk predictor method of a kind of domestic air conditioning and refrigerator, it is characterized in that, and comprise the following steps:
(1) radio sensing network that founds a family: household internal adopts Zigbee-technology, centered by digital home services device, become family's radio sensing network with air-conditioning Metering socket with Temperature Humidity Sensor and refrigerator, refrigerator Metering socket and freezer compartment of refrigerator sets of temperature sensors.
(2) digital home services device by Metering socket, Temperature Humidity Sensor, the power of freezer compartment of refrigerator temperature sensor measurement and the data upload of humiture to household electrical appliances risk Prediction System server, average power, air-conditioning and the refrigerator that the latter calculates air-conditioning and refrigerator according to the data uploaded uploaded the temperature difference of temperature and actual temperature, humidity that air-conditioning is uploaded and the psychrometric difference of actual humidity, and to the data of uploading are carried out to following analysis:
If the actual temperature that 1. air-conditioning is uploaded and the temperature difference of the indoor temperature of uploading are greater than the mean value of all users' the temperature difference, the temperature sensor possible breakdown of reminding user air-conditioning; If the temperature difference of the design temperature that refrigerator is uploaded and actual temperature is greater than setting value, the temperature regulating device possible breakdown of reminding user refrigerator;
If the actual humidity that 2. air-conditioning is uploaded and the psychrometric difference of the indoor humidity of uploading are greater than the mean value of all users' the temperature difference, the humidity sensor fault of reminding user air-conditioning.
If the air-conditioning 3. calculating and the average power of refrigerator are greater than the mean value of all users' average power, in reminding user routine use process, note using electricity wisely, daily while not using by air-conditioning power-off.
If 4. air-conditioning is under refrigeration mode, indoor temperature is still greater than 10% with the deviation of the temperature arranging respectively after certain hour section, and reminding user may freeze to break down or freeze and weakens, and whether provide that suggestion investigates according to the method for suggestion is fault.
5. according to analysis result, at the application page, give the prompting of user malfunction risk and expert advice or maintaining data.
Described digital home services device is comprised of sensing network controller and digital home's media center two parts, and wherein sensing network controller is responsible for issuing the data message that equipment query, control command and accepting device are uploaded; Digital home's media center is responsible for communicating with household electrical appliances fault pre-diagnosing system server.
By wireless transport module is connected with air-conditioning equipment, Metering socket is combined with air-conditioning, greenhouse degree sensor is placed at home to the place from air-conditioning close together, digital home services device is running state information, the Metering socket information of searching air conditioner regularly, and Temperature Humidity Sensor is regularly uploaded greenhouse degree information to digital home services device.
At described household electrical appliances risk Prediction System server, be provided with database and user terminal, in databases, contain the information of home appliance and user's information is mutually related for information about; User terminal provides inquiry for user, or downloads relevant expert's suggestion or maintaining data.
Described user terminal comprises mobile phone, notebook computer or desktop computer, by communication network and described household electrical appliances risk Prediction System server, carries out message exchange.
Advantage of the present invention is: the duty to family's air-conditioning detects, can find early that air-conditioning equipment exists incipient fault, give the prompting of user malfunction risk and expert advice or maintaining data, to repair early, prevent from causing more serious bad result.
Accompanying drawing explanation:
Fig. 1 is that fault pre-diagnosing system of the present invention forms schematic diagram.
With reference to figure 1, the risk predictor method of a kind of domestic air conditioning of the present invention and refrigerator, is characterized in that, comprises the following steps:
(1) radio sensing network that founds a family: household internal adopts Zigbee-technology, centered by digital home services device 4, with air-conditioning Metering socket 2 and Temperature Humidity Sensor 3 and refrigerator 8, refrigerator Metering socket 9 and freezer compartment of refrigerator temperature sensor 10 composition family wireless sensing networks.The attaching plug of air-conditioning (equipment) 1 inserts this Metering socket 2, the attaching plug of refrigerator 8 inserts refrigerator Metering socket 9, and Metering socket 2 and 9(are prior art) by wired or wireless mode, to digital home services device 4, send the power of air-conditionings 1 and refrigerator 8 consumption.
(2) power that digital home services device 4 is measured Metering socket 2 and 9, Temperature Humidity Sensor 3, freezer compartment of refrigerator temperature sensor 10 and the data upload of humiture are to household electrical appliances risk Prediction System server 5, average power, air-conditioning and the refrigerator that the latter calculates air-conditioning 1 and refrigerator 8 according to the data uploaded uploaded the psychrometric difference of the temperature difference of temperature (control temperature of setting) and actual temperature, humidity (controlled humidity of setting) that air-conditioning is uploaded and actual humidity, and to the data of uploading are carried out to following analysis:
If the actual temperature that 1. air-conditioning is uploaded and the temperature difference of the indoor temperature of uploading are greater than the mean value of all users' the temperature difference, the temperature sensor possible breakdown of reminding user air-conditioning.Refrigerator is greater than setting value according to the difference of design temperature and working control temperature (freezer compartment of refrigerator temperature sensor 10 provides), and the temperature regulating device of reminding user refrigerator may have fault.
If the actual humidity that 2. air-conditioning is uploaded and the psychrometric difference of the indoor humidity of uploading are greater than the mean value of all users' the temperature difference, the humidity sensor fault of reminding user air-conditioning.
If the air-conditioning 3. calculating and the average power of refrigerator are greater than the mean value of all users' average power, in reminding user routine use process, note using electricity wisely, daily while not using by air-conditioning power-off.
If 4. air-conditioning is under refrigeration mode, indoor temperature is still greater than 10% with the deviation of the temperature arranging respectively after certain hour section, and reminding user may freeze to break down or freeze and weakens, and whether provide that suggestion investigates according to the method for suggestion is fault.
5. according to analysis result, at the application page, give the prompting of user malfunction risk and expert advice or maintaining data.
Described digital home services device 4 forms (being arranged in a housing) by sensing network controller and digital home's media center two parts, and wherein sensing network controller is responsible for issuing the data message that equipment query, control command and accepting device are uploaded; Digital home's media center is responsible for communicating with household electrical appliances fault pre-diagnosing system server.
(digital home services device 4) is by being connected wireless transport module with air-conditioning 1, Metering socket 2 and air-conditioning 1 combination, Temperature Humidity Sensor 3 is placed at home to the place from air-conditioning 1 close together, digital home services device 4 is running state information, the Metering socket information of searching air conditioners regularly, and Temperature Humidity Sensor 3 regularly (reads once as every ten minutes) and uploads greenhouse degree information to digital home services device 4.
At described household electrical appliances risk Prediction System server 5, be provided with database 6 and user terminal 7, in database 6, store the information of home appliance and user's information is mutually related for information about; User terminal 7 is for user provides inquiry, or download relevant expert suggestion or maintaining data.
Described user terminal 7 comprises mobile phone, notebook computer or desktop computer, by communication network and described household electrical appliances risk Prediction System server 5, carries out message exchange.
Assessment mode is as follows more specifically:
1. to carry temperature sensor numerical value be a to air-conditioning, and ambient temperature sensor values is b, and set temperature is c, and air-conditioning average power is d, and indoor temperature is g with deviation indoor actual temperature after certain hour section (half an hour) of the temperature arranging respectively;
2. actual temperature g and air-conditioning are from uploading the actual temperature temperature difference: b-a;
Actual humidity and the air-conditioning actual psychrometric difference of uploading humidity: f-e;
All users' actual temperature and air-conditioning are uploaded the mean value of the actual temperature temperature difference: △ T
The actual mean value of uploading the psychrometric difference of humidity of all user's actual humidity and air-conditioning: △ H
The mean value of all user's average powers: △ p
Within every ten minutes, get a secondary data;
3. if, (b-a) > △ T, temperature sensor may break down, and please checks in time maintenance;
If (f-e) > △ H, humidity sensor may break down, and please checks in time maintenance;
If d> △ p, in reminding user routine use process, note using electricity wisely, daily while not using by air-conditioning power-off;
If (b-a) > △ T, and calculate c/g-71%<10%, explanation refrigeration breaks down or freezes and weakens, and provides possible reason and arrange distinguish method:
Possible cause disposal route:
Claims (6)
1. a risk predictor method for domestic air conditioning and refrigerator, is characterized in that, comprises the following steps:
(1) radio sensing network that founds a family: household internal adopts Zigbee-technology, centered by digital home services device, become family's radio sensing network with air-conditioning Metering socket with Temperature Humidity Sensor and refrigerator, refrigerator Metering socket and freezer compartment of refrigerator sets of temperature sensors.
2.(2) digital home services device by Metering socket, Temperature Humidity Sensor, the power of freezer compartment of refrigerator temperature sensor measurement and the data upload of humiture to household electrical appliances risk Prediction System server, average power, air-conditioning and the refrigerator that the latter calculates air-conditioning and refrigerator according to the data uploaded uploaded the temperature difference of temperature and actual temperature, humidity that air-conditioning is uploaded and the psychrometric difference of actual humidity, and to the data of uploading are carried out to following analysis:
If the actual temperature that 1. air-conditioning is uploaded and the temperature difference of the indoor temperature of uploading are greater than the mean value of all users' the temperature difference, the temperature sensor possible breakdown of reminding user air-conditioning; If the temperature difference of the design temperature that refrigerator is uploaded and actual temperature is greater than setting value, the temperature regulating device possible breakdown of reminding user refrigerator;
If the actual humidity that 2. air-conditioning is uploaded and the psychrometric difference of the indoor humidity of uploading are greater than the mean value of all users' the temperature difference, the humidity sensor fault of reminding user air-conditioning;
If the air-conditioning 3. calculating and the average power of refrigerator are greater than the mean value of all users' average power, in reminding user routine use process, note using electricity wisely, daily while not using by air-conditioning power-off;
If 4. air-conditioning is under refrigeration mode, indoor temperature is still greater than 10% with the deviation of the temperature arranging respectively after certain hour section, and reminding user may freeze to break down or freeze and weakens, and whether provide that suggestion investigates according to the method for suggestion is fault;
5. according to analysis result, at the application page, give the prompting of user malfunction risk and expert advice or maintaining data.
3. the risk predictor method of domestic air conditioning according to claim 1 and refrigerator, it is characterized in that, described digital home services device is comprised of sensing network controller and digital home's media center two parts, and wherein sensing network controller is responsible for issuing the data message that equipment query, control command and accepting device are uploaded; Digital home's media center is responsible for communicating with household electrical appliances fault pre-diagnosing system server.
4. the risk predictor method of domestic air conditioning according to claim 1 and refrigerator, it is characterized in that, by wireless transport module is connected with air-conditioning equipment, Metering socket is combined with air-conditioning, greenhouse degree sensor is placed at home to the place from air-conditioning close together, digital home services device is running state information, the Metering socket information of searching air conditioner regularly, and Temperature Humidity Sensor is regularly uploaded greenhouse degree information to digital home services device.
5. the risk predictor method of domestic air conditioning according to claim 1 and refrigerator, it is characterized in that, at described household electrical appliances risk Prediction System server, be provided with database and user terminal, in databases, contain the information of home appliance and user's information is mutually related for information about; User terminal provides inquiry for user, or downloads relevant expert's suggestion or maintaining data.
6. the risk predictor method of domestic air conditioning according to claim 4 and refrigerator, it is characterized in that, described user terminal comprises mobile phone, notebook computer or desktop computer, by communication network and described household electrical appliances risk Prediction System server, carries out message exchange.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310592921.7A CN103616863B (en) | 2013-11-22 | 2013-11-22 | The risk predictor method of domestic air conditioning and refrigerator |
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| CN201310592921.7A CN103616863B (en) | 2013-11-22 | 2013-11-22 | The risk predictor method of domestic air conditioning and refrigerator |
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| CN104392101B (en) * | 2014-10-29 | 2017-07-25 | 小米科技有限责任公司 | Data sharing method and device |
| CN108605054A (en) * | 2017-01-20 | 2018-09-28 | 华为技术有限公司 | Realize the method, apparatus and Cloud Server of value-added service |
| CN108827382A (en) * | 2018-06-13 | 2018-11-16 | 珠海格力电器股份有限公司 | fault diagnosis method, device and system |
| CN111412579A (en) * | 2020-03-26 | 2020-07-14 | 上海建工四建集团有限公司 | Air conditioning unit fault type diagnosis method and system based on big data |
| US10941955B2 (en) | 2017-10-27 | 2021-03-09 | Dometic Sweden Ab | Systems, methods, and apparatuses for providing communications between climate control devices in a recreational vehicle |
| US11254183B2 (en) | 2017-08-25 | 2022-02-22 | Dometic Sweden Ab | Recreational vehicle, cooling device, controlling system and method for controlling the cooling device |
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| CN103616863B (en) | 2016-05-04 |
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Inventor after: Yu Zhongqing Inventor after: Li Peng Inventor after: Di Weiwei Inventor after: Cui Jiumei Inventor after: Wang Ailing Inventor after: Zhao Honglei Inventor before: Li Peng Inventor before: Di Weiwei Inventor before: Cui Jiumei Inventor before: Wang Ailing Inventor before: Zhao Honglei |
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Address after: Laoshan District Green Road 266112 Shandong city of Qingdao province No. 19 22 11 floor Patentee after: Qingdao Peng Hai Software Co., Ltd. Address before: Laoshan District Green Road 266112 Shandong city of Qingdao province No. 19 22 11 floor Patentee before: Haiersoft Corporation |