CN109425123A - A kind of water-heater system method for diagnosing and processing fault and system based on big data - Google Patents

A kind of water-heater system method for diagnosing and processing fault and system based on big data Download PDF

Info

Publication number
CN109425123A
CN109425123A CN201711430684.9A CN201711430684A CN109425123A CN 109425123 A CN109425123 A CN 109425123A CN 201711430684 A CN201711430684 A CN 201711430684A CN 109425123 A CN109425123 A CN 109425123A
Authority
CN
China
Prior art keywords
water heater
water
heater
control module
fault
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
CN201711430684.9A
Other languages
Chinese (zh)
Inventor
薛祥玉
陈小雷
吴丽云
张斌
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.)
Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd
Original Assignee
Qingdao Economic and Technological Development Zone Haier Water Heater 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 Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd filed Critical Qingdao Economic and Technological Development Zone Haier Water Heater Co Ltd
Publication of CN109425123A publication Critical patent/CN109425123A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H9/00Details
    • F24H9/20Arrangement or mounting of control or safety devices
    • F24H9/2007Arrangement or mounting of control or safety devices for water heaters
    • F24H9/2014Arrangement or mounting of control or safety devices for water heaters using electrical energy supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Heat-Pump Type And Storage Water Heaters (AREA)

Abstract

The invention discloses a kind of water-heater system method for diagnosing and processing fault and system based on big data, the water-heater system includes the memory module and control module of data connection each other, the memory module stores the parameters real-time perfoming of each water heater, and the control module judges fault cause according to the water heater fault message that the historical data and user of parameters in memory module are fed back or provides solution.The historical data that the present invention passes through storage, and the analysis ability powerful by means of big data, the basic reason of comprehensive descision locking failure, to rapidly and accurately formulate most reasonable troubleshooting scheme, the case where avoiding only processing superficial failure simultaneously and ignoring underlying causes, it can be diagnosed to be the possible failure of machine in advance, precise positioning reason helps user or professional after-sales staff fast and accurately to carry out respective handling to failure.

Description

A kind of water-heater system method for diagnosing and processing fault and system based on big data
Technical field
The invention belongs to water heater arrangement fields, specifically, being related to a kind of water-heater system failure based on big data Diagnosis processing method and system.
Background technique
Smart home be using house as platform, using comprehensive wiring technology, network communication technology, security precautions technology, from Dynamic control technology, audio and video technology integrate the related facility of home life, construct efficient housing facilities and family's schedule thing The management system of business promotes house security, convenience, comfort, artistry, and realizes the living environment of environmental protection and energy saving.
Smart home is as a newborn industry, the critical point in an introduction period and growth stage, market comsupton idea It has not yet been formed, but as what smart home marketing was popularized further implements, has cultivated the use habit of consumer, intelligent family The consumption potentiality for occupying market is necessarily huge, and industrial prospect is bright, as cooperative enterprise generally enters the moment of producing result, Smart home new product will emerge one after another, smart home by be from now on household field develop inexorable trend.
Manufacturing enterprise requires to apply to big data in industrial restructuring and transition.From now on, data, which will become, promotes society The 4th progressive productivity, market potential is huge, meanwhile, the big data analysis and conventionally manufactured enterprise that smart home is relied on The important channel of industry transition and upgrade.For water heater as one of daily household electrical appliances, following development trend also will be towards intelligence Household direction is developed, and how using various parameters acquired in water heater operational process to be formed by big data, is always to grind The research emphasis for the person of studying carefully.
On the other hand, water heater often will appear after long-term use due to design, manufacturing issue or non-normal use All kinds of failures need regardless of user oneself or professional are generally difficult to lock failure cause based on current phenomenon of the failure Very complicated troubleshooting procedure is wanted, some due to can not dismantling etc. even that can not handle.Current fault diagnosis processing mode Generally by placement sensor, judge whether that failure, failure can be aobvious by water heater by the current state of detection sensor Show that panel or cell phone application are prompted.This detectable failure of method seldom and also can only diagnostic process current state, can not Lock basic reason.
In view of this present invention is specifically proposed.
Summary of the invention
The technical problem to be solved in the present invention is that overcoming the deficiencies of the prior art and provide a kind of hot water based on big data Device system fault diagnosis processing method and system, the present invention pass through the historical data of storage, and point powerful by means of big data Analysis ability, comprehensive descision locks the basic reason of failure, to rapidly and accurately formulate most reasonable troubleshooting scheme, simultaneously The case where avoiding only processing superficial failure and ignoring underlying causes, can be diagnosed to be the possible failure of machine, precise positioning in advance Reason helps user or professional after-sales staff fast and accurately to carry out respective handling to failure.
In order to realize the purpose, the present invention adopts the following technical scheme:
A kind of water-heater system method for diagnosing and processing fault based on big data, the water-heater system include data each other The memory module and control module of connection, the memory module stores the parameters real-time perfoming of each water heater, described Control module judges failure according to the water heater fault message that the historical data and user of parameters in memory module are fed back The origin cause of formation provides solution.
Further, the water-heater system include with water heater communication connection Cloud Server, the memory module and/ Or control module is arranged in the Cloud Server;
Preferably, it is carried out sequentially in time respectively in the parameters of the memory module for each water heater It keeps records of.
Further, the control module sets up water heater working model using the historical data of the parameters, Meanwhile being provided with water heater in the control module and working normally model, the control module is by by water heater working model With the water heater work normally model compared with or analysis, obtain Trouble cause;
Preferably, the parameters include characterizing the parameter of water heater working environmental physics state, and/or characterize hot water The parameter of device electrical operation state;
Preferably, it is described characterization water heater working environmental physics state parameter include: in water heater air themperature and/ Or water temperature, and/or water temperature pace of change in water heater;
Preferably, the parameter of the characterization water heater electrical operation state include: heated condition, and/or on-off state, And/or heating mode, and/or heating time, and/or heating tube history operating time, and/or relay historical action number, And/or machine operation total duration, and/or history operating mode.
Further, the control module also analyze determine the water heater fault message that is fed back of user whether with water heater Actual motion state is consistent, and the water heater fault message is the description to current water heater failure;
Preferably, the control module transfers the parameters of water heater several times recently and the water heater work corresponding to it Make model, and compared with the water heater fault message that user is fed back, when the water heater working model and water heater event When barrier information is consistent, then determines that the water heater fault message that user is fed back is consistent with water heater actual motion state, otherwise sentence It is set to and is not consistent.
Preferably, the control module transfers the parameters of water heater recently three times.
Further, when control module determines the water heater fault message and water heater actual motion state that user is fed back When being consistent, then Trouble cause is further analyzed;Otherwise, without accident analysis.
Further, each water heater is provided with the identification feature for differentiation, the identification feature of each water heater and with Corresponding water heater parameters be collectively stored in the memory module;
Preferably, the identification feature is machine code.
Further, the water-heater system further includes the operating terminal with Cloud Server communication connection, and the operation is eventually The fault message of the identification feature from the water heater to Cloud Server and the water heater that send is held, and receives the Cloud Server The fault cause or solution sent;
Preferably, the operating terminal is the intelligent terminal being equipped with the application program of Cloud Server communication connection;
It is further preferred that the intelligent terminal is smart phone.
Further, which is characterized in that the water-heater system includes Cloud Server, the memory module and control mould Block is arranged in the Cloud Server;Water-heater system method for diagnosing and processing fault includes the following steps:
S1, the machine code of the water heater is inputted in the application program of operating terminal and indicates the failure of the water heater Information;
S2, the Cloud Server communicated to connect with operating terminal receive the fault message;
S3, the control module transfer the parameters of the water heater several times recently being stored in memory module;
The parameters that S4, analysis S3 are transferred, if water heater working model is consistent with the water heater fault message When, then illustrate that the fault message of user feedback is accurate, there are failures for water heater, into S5;Otherwise, then illustrate the event of user feedback It is wrong to hinder information, feeds back to operating terminal and prompts provided fault message wrong;
S5, the control module transfer water heater parameters relevant to this failure from memory module;
Parameter in S6, control module analysis S5, if it find that certain parameter exceeds normal range (NR), then preliminary latch event Hinder reason and corresponding trouble unit;
S7, the control module further analyze other corresponding history parameters of the trouble unit;
S8, the control module are analyzed to obtain trouble unit according to the history parameters of the trouble unit in the S7 Failure generational verctor;
S9, the control module formulate corresponding processing scheme according to the obtained failure generational verctor of S8, and will be described Failure generational verctor and processing scheme are issued in the operating terminal;
S10, user failure generational verctor and processing scheme according to received by operating terminal carry out failure to water heater Processing.
Further, the method for diagnosing and processing fault of normal heating is unable to user feedback water heater using the water heater System fault diagnosis processing method;
The fault message, which refers to, indicates that the water heater is unable to the fault message of normal heating;
In the step S3, the control module transfers the water heater of characterization water heater physical state parameter recently three times Water temperature parameters, and the heated condition parameter of characterization water heater electrical operation state parameter;
In the step S4, the parameters that analysis S3 is transferred, if the variation of water heater temperature's parameter of water heater Rule is not inconsistent with heated condition parameter, then illustrates that water heater working model is consistent with the water heater fault message, i.e., user is anti- The fault message of feedback is accurate, and water heater has the failure that cannot be heated, into S5;Otherwise, then illustrate the failure letter of user feedback Cease it is wrong, feed back to mobile phone prompt provided by fault message it is wrong;
In the step S5, the control module relevant to this failure water heater items ginseng is transferred from memory module Number, the parameters are heating tube history operating time and relay historical action number.
A kind of system of the water-heater system fault diagnosis processing based on big data, using any of the above-described described based on big The water-heater system method for diagnosing and processing fault of data, the system comprises the memory modules of data connection each other and control mould Block, the memory module store the parameters real-time perfoming of each water heater, and the control module is according in memory module The water heater fault message that the historical data of parameters and user are fed back judges fault cause or provides solution.
After adopting the above technical scheme, the present invention has the advantages that compared with prior art.
A kind of water-heater system method for diagnosing and processing fault and system based on big data of the invention is utilized and is stored The parameters when work of each water heater judge fault cause or provide solution in conjunction with the fault message that user is reported Scheme.The characteristic that the present invention makes full use of the mass data of big data and magnanimity to calculate, is used in conjunction with what each water heater was arranged The identification feature of differentiation sets up the water heater working model of one's own personalization by the historical data of parameters, The parameter of the characterization water heater working environmental physics state of water heater, and/or characterization water heater electrical operation state can be passed through Parameter the failure of water heater judged.This method avoid frequently encountered when current malfunction elimination based on current Phenomenon of the failure be difficult to lock failure cause, need very complicated troubleshooting procedure, some even due to it can not dismantle etc. without Method carries out the problem of fault location.
Simultaneously because method for diagnosing and processing fault used in the present invention fully utilizes items when water heater is run Parameter, number of parameters and type collected are comprehensive enough, and an other sensing is relied solely in current fault diagnosis mode Device or Testing index and positioning failure, the detectable failure of current method seldom and can only diagnose current state, can not Lock basic reason.The present invention is integrally judged by the means of big data using entire water heater as a system, with system With the failure problems from the viewpoint of entirety to entire water heater, previous " headache cures head foot pain doctor foot " is avoided, " temporary solution is not controlled This " the drawbacks of.Keep the positioning of failure more accurate.
Meanwhile the method for the Effective judgement of the fault message reported to user is additionally provided in the present invention, pass through Method of the invention can help contact staff to mask useless failure by the means of science and report information, make work after sale Make to reduce unnecessary interference, to improve the working efficiency of after-sales service.
A specific embodiment of the invention is described in further detail with reference to the accompanying drawing.
Detailed description of the invention
Attached drawing is as a part of the invention, and for providing further understanding of the invention, of the invention is schematic Examples and descriptions thereof are used to explain the present invention, but does not constitute an undue limitation on the present invention.Obviously, the accompanying drawings in the following description Only some embodiments to those skilled in the art without creative efforts, can be with Other accompanying drawings can also be obtained according to these attached drawings.In the accompanying drawings:
Fig. 1 is at the failure of a kind of water-heater system method for diagnosing and processing fault based on big data of the invention and system Manage flow diagram.
It should be noted that these attached drawings and verbal description are not intended to the design model limiting the invention in any way It encloses, but illustrates idea of the invention by referring to specific embodiments for those skilled in the art.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, the technical solution in embodiment is clearly and completely described, the following examples are intended to illustrate the invention, but It is not intended to limit the scope of the invention.
In the description of the present invention, it should be noted that term " on ", "front", "rear", "left", "right", " is erected at "lower" Directly ", the orientation or positional relationship of the instructions such as "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, merely to just In description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with Specific orientation construction and operation, therefore be not considered as limiting the invention.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected;It can To be mechanical connection, it is also possible to be electrically connected;It can be directly connected, it can also be indirectly connected through an intermediary.For this For the those of ordinary skill in field, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
As shown in Figure 1, the water-heater system method for diagnosing and processing fault that the invention discloses a kind of based on big data and being System, the water-heater system includes the memory module and control module of data connection each other, and the memory module is to each hot water The parameters real-time perfoming of device stores, and the control module is according to the historical data of parameters in memory module and user institute The water heater fault message of feedback judges fault cause or provides solution.The present invention passes through the historical data of storage, and borrows Help the powerful analysis ability of big data, comprehensive descision locks the basic reason of failure, to rapidly and accurately formulate most rationally Troubleshooting scheme, while avoiding only processing superficial failure the case where ignore underlying causes, machine can be diagnosed to be in advance Possible failure, precise positioning reason help user or professional after-sales staff fast and accurately to carry out respective handling to failure.
Embodiment 1
A kind of water-heater system method for diagnosing and processing fault based on big data is disclosed in embodiment.
The water-heater system in the present embodiment includes the memory module and control module of data connection each other, described to deposit It stores up module to store the parameters real-time perfoming of each water heater, the control module is according to parameters in memory module The water heater fault message that historical data and user are fed back judges fault cause or provides solution.
Water-heater system includes the Cloud Server with water heater communication connection, the memory module and control in the present embodiment Module is arranged in the Cloud Server.Cloud Server has the memory space of magnanimity and the operational capability of magnanimity, can will be hot The parameter of the working condition for characterizing water heater working in water heater system is stored in real time, and can be according to each ginseng Correlation between number establishes relevant working model.
The parameters include characterizing the parameter of water heater working environmental physics state, and/or characterization water heater is electrical The parameter of operating status;It is described characterization water heater working environmental physics state parameter include: in water heater air themperature and/ Or water temperature, and/or water temperature pace of change in water heater;The parameter of the characterization water heater electrical operation state includes: heating shape State, and/or on-off state, and/or heating mode, and/or heating time, and/or heating tube history operating time, and/or Relay historical action number, and/or the various parameters such as machine operation total duration, and/or history operating mode.
Simultaneously as described above, Cloud Server has the memory space of magnanimity, therefore the memory module of Cloud Server is for every The parameters of a water heater are kept records of sequentially in time respectively.It is namely built in this way for each water heater An operation work log is erected, and the log is essentially consisted in previous log difference:
Firstly, the log is directed to each individual water heater, each water heater is provided with the identification for differentiation Feature, in the memory module of Cloud Server, the identification feature of each water heater and corresponding water heater parameters It is collectively stored in the memory module.Preferably, the identification feature is machine code.
Secondly, the parameter type in the log is abundant, it not only include the parameter of characterization water heater working environmental physics state It further include the parameter and other any parameters relevant to water heater operation for characterizing water heater electrical operation state.
Also, the time interval that the log is recorded is very short, and in the present embodiment, Cloud Server is for water heater parameter The frequency of acquisition be adjusted according to the ability of system itself, but be to be able to the working condition of accurate recording water heater, Failure starting point can be accurately found in troubleshooting, storage module is non-for the time interval of the data acquisition of parameters Normal short (such as 1 second), and the collected supplemental characteristic of institute is stored entirely in memory module sequentially in time.
The historical data for the parameters that control module in the present embodiment is recorded using storage module, with its own Magnanimity operational capability, it is established that water heater working model.Meanwhile it being provided with water heater in the control module and works normally mould Type, the control module by by water heater working model with the water heater work normally model compared with or analysis Obtain Trouble cause.Big data technology is made full use of during the fault diagnosis, integrated system handles water heater fortune Capable parameters and correlation eventually find the basic reason for causing failure by the influence logic between parameters. The present invention is based on the historical data of machine operation, comprehensive analysis and judgement are not need to rely on the experience of professional after sale, also not It is confined to current failure position and trouble unit, improves accuracy rate of diagnosis.
In the production and living of reality, it often will appear user since misoperation either the originals such as is unfamiliar with for equipment Cause, caused by fault misdescription.For example, power supply itself is not turned on, and user reports water heater for repairment and does not heat, or other feelings Condition.In the case where the fault message of this user feedback itself is wrong, if also to carry out normal accident analysis and processing, Undoubtedly to the huge waste of system resource.Therefore the control module of this implementation also analyzes the failure for determining that user is fed back Whether information is effective, judges whether user is consistent with water heater actual motion state to the description of current water heater failure.
In the present embodiment, the control module transfers the parameters of water heater several times recently and the hot water corresponding to it Device working model, and compared with the water heater fault message that user is fed back, when the water heater working model and the hot water When device fault message is consistent, then determine that the water heater fault message that user is fed back is consistent with water heater actual motion state, it is no Then it is judged to not being consistent.When control module determines the water heater fault message and water heater actual motion state phase that user is fed back Fu Shi then further analyzes Trouble cause;Otherwise, without accident analysis.Control module described in the present embodiment is transferred The parameters of water heater recently three times.The actual motion state model of water heater is established by this parameters three times, is come It makes comparisons with the fault message that user is fed back, is used as fault message and audits.
In the present embodiment, the water-heater system further includes the operating terminal with Cloud Server communication connection, the operation Terminal sends the identification feature of the water heater and the fault message of the water heater to Cloud Server, and receives the cloud service The fault cause or solution that device is sent.The operating terminal is the application program being equipped with Cloud Server communication connection Intelligent terminal.With the development of smart phone technology, the intelligent terminal is smart phone in the present embodiment.
In other examples, which can also be the terminal device being arranged on water heater, with water heater Carrying is supplied to user together.The application program is just mounted with when the operating terminal is dispatched from the factory in this case.
Either intelligent terminal is other smart machines such as palm PC or notebook, is not discussed here.
Embodiment 2
The present embodiment is the fault diagnosis to the water-heater system method for diagnosing and processing fault based on big data of embodiment 1 The supplement of processing step.
As shown in Figure 1, the water-heater system includes Cloud Server in the present embodiment, the memory module and control mould Block is arranged in the Cloud Server;Water-heater system method for diagnosing and processing fault includes the following steps:
S1, the machine code of the water heater is inputted in the application program of operating terminal and indicates the failure of the water heater Information;Preferably, the identification feature is machine code.
S2, the Cloud Server communicated to connect with operating terminal receive the fault message;
S3, the control module transfer the parameters of the water heater several times recently being stored in memory module;
The parameters that S4, analysis S3 are transferred, if water heater working model is consistent with the water heater fault message When, then illustrate that the fault message of user feedback is accurate, there are failures for water heater, into S5;Otherwise, then illustrate the event of user feedback It is wrong to hinder information, feeds back to operating terminal and prompts provided fault message wrong;
S5, the control module transfer water heater parameters relevant to this failure from memory module;
Parameter in S6, control module analysis S5, if it find that certain parameter exceeds normal range (NR), then preliminary latch event Hinder reason and corresponding trouble unit;
S7, the control module further analyze other corresponding history parameters of the trouble unit;
S8, the control module are analyzed to obtain trouble unit according to the history parameters of the trouble unit in the S7 Failure generational verctor;
S9, the control module formulate corresponding processing scheme according to the obtained failure generational verctor of S8, and will be described Failure generational verctor and processing scheme are issued in the operating terminal;
S10, user carry out event to water heater according to the received failure generational verctor and processing scheme of operating terminal Barrier processing.
Embodiment 3
The present embodiment chooses the concrete example of " user feedback water heater is unable to normal heating " on the basis of the above embodiments Son is illustrated the method for above-described embodiment.
After after-sales staff, which receives machine, is unable to the failure feedback of normal heating:
S11, user or maintenance personal open the corresponding APP on mobile phone, and input machine code and fault message-" heat Hydrophone is unable to normal heating ";
S21, the Cloud Server connecting with mobile communication receive machine code and the fault message-, and " water heater cannot be just Often heating ";
S31, the control module transfer the water heater being stored in memory module (the present embodiment is several times recently Air themperature in water heater three times), in water heater water temperature, heated condition, on-off state, heating time etc. can express plus The parameter of the corresponding temperature variations of Warm status;
The parameters that S41, analysis S31 are transferred illustrate hot at this time if temperature changing speed is consistent with heated condition Hydrophone is normal heating, that is to say, that the fault message of bright user feedback is wrong, diagnosable wrong to feed back, and feeds back at this time Mobile phone prompts fault message provided by user wrong;
Conversely, then illustrating that the fault message of user feedback is correct, that is, when the analysis S31 items transferred are joined Number, if temperature changing speed is not consistent with heated condition, illustrates that water heater is unable to normal heating at this time, at this time will be into The further accident analysis of row enters step S51;
S51, the control module transfer water heater parameters relevant to this failure, phase at this time from memory module Closing component is heater and relay, therefore the parameter transferred is: heating tube history operating time and relay historical action Number;
Parameter in S61, control module analysis S51, if it find that parameter goes beyond the scope, then it can preliminary latch failure Reason, for example it is locked as relay historical action number overrate;
S71, the action behavior for further judging the history trouble unit, the related ginseng of (being relay in the present embodiment) analysis Number, comprising: machine operation total duration, water temperature pace of change, history working pattern analysis etc.;
S81, the control module are analyzed to obtain trouble unit according to the history parameters of the trouble unit in the S71 Failure generational verctor;
For example parameter above is analyzed in the present embodiment, and if it find that abnormal: such as in history work, water temperature variation speed It spends fastly, then lockable reason is that temperature sensor closely causes very much temperature change abnormal apart from heating tube, so as to cause relay Frequent movement;
S91, the control module formulate corresponding processing scheme according to the obtained failure generational verctor of S8, and will be described Failure generational verctor and processing scheme are issued in the mobile phone, i.e., replace relay first, are solved current failure, are then adjusted Temperature sensor location solves root problem;
S101, user failure generational verctor and processing scheme according to received by mobile phone carry out at failure water heater Reason.
Embodiment 4
The present embodiment discloses a kind of system of water-heater system fault diagnosis processing based on big data, uses above-mentioned reality Apply any water-heater system method for diagnosing and processing fault based on big data of example.The system comprises data connections each other Memory module and control module, the memory module stores the parameters real-time perfoming of each water heater, the control Module judges fault cause according to the water heater fault message that the historical data and user of parameters in memory module are fed back Or provide solution.
Embodiment 5
In the present embodiment, used operating terminal, does not need installation application program, but passes through in the above-described embodiments The failure of the identification feature and water heater that upload water heater can start diagnosis of the Cloud Server for failure, and cloud service Device issues failure generational verctor and processing scheme in such a way that lower photos and sending messages are to operating terminal for user.For example pass through intelligence The failure of above-mentioned identification feature and water heater is sent to communicating number representated by Cloud Server by mobile phone, and then Cloud Server will Result that treated short message or the form of voice broadcast are sent to smart phone.
Embodiment 6
The present embodiment is the supplement to above-described embodiment.It is not provided with Cloud Server, or even if setting in the present embodiment Cloud Server, the memory module and/or control module of this system are arranged in local — that is, water heater.
With the development of memory technology and computing technique, storage for the parameters of single water heater, and operation The big data of model calculates the support for no longer needing Cloud Server, these modules may be located on water heater, to save Process from using terminal to Cloud Server feedback failure, only only local with regard to the diagnosis of achievable failure.Certainly in this implementation Still local calculation and method can be adjusted and learnt by way of software upgrading in example, make local event The accuracy of barrier analysis is constantly improved.
Embodiment 7
The present embodiment is the supplement to the identification feature for differentiation of the water heater in above-described embodiment.In the present embodiment Middle identification feature is not machine code, similarly can be figure, and sound or others can be used in carrying out equipment differentiation Other identification features.
The above is only presently preferred embodiments of the present invention, is not intended to limit the present invention in any form, though So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this patent Member without departing from the scope of the present invention, when the technology contents using above-mentioned prompt make it is a little change or be modified to The equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, it is right according to the technical essence of the invention Any simple modification, equivalent change and modification made by above embodiments, in the range of still falling within the present invention program.

Claims (10)

1. a kind of water-heater system method for diagnosing and processing fault based on big data, which is characterized in that the water-heater system packet Include the memory module and control module of data connection each other, parameters real-time perfoming of the memory module to each water heater Storage, the water heater fault message that the control module is fed back according to the historical data and user of parameters in memory module Judge fault cause or provides solution.
2. the water-heater system method for diagnosing and processing fault according to claim 1 based on big data, which is characterized in that institute Stating water-heater system includes the Cloud Server with water heater communication connection, and the memory module and/or control module are arranged in institute It states in Cloud Server;
Preferably, it is saved sequentially in time respectively in the parameters of the memory module for each water heater Record.
3. the water-heater system method for diagnosing and processing fault according to claim 2 based on big data, which is characterized in that institute It states control module and sets up water heater working model using the historical data of the parameters, meanwhile, in the control module It is provided with water heater and works normally model, the control module is by working normally water heater working model and the water heater The comparison or analysis of model, obtain Trouble cause;
Preferably, the parameters include characterizing the parameter of water heater working environmental physics state, and/or characterize Water heater electric The parameter of gas operating status;
Preferably, the parameter of the characterization water heater working environmental physics state includes: air themperature, and/or heat in water heater Water temperature, and/or water temperature pace of change in hydrophone;
Preferably, it is described characterization water heater electrical operation state parameter include: heated condition, and/or on-off state and/ Or heating mode, and/or heating time, and/or heating tube history operating time, and/or relay historical action number and/ Or machine operation total duration, and/or history operating mode.
4. the water-heater system method for diagnosing and processing fault according to claim 3 based on big data, which is characterized in that institute It states control module and also analyzes whether the water heater fault message for determining that user is fed back is consistent with water heater actual motion state, institute Stating water heater fault message is the description to current water heater failure;
Preferably, the control module transfers the parameters of water heater several times recently and the water heater working mould corresponding to it Type, and compared with the water heater fault message that user is fed back, when the water heater working model and the water heater failure are believed When manner of breathing accords with, then determines that the water heater fault message that user is fed back is consistent with water heater actual motion state, be otherwise determined as It is not consistent.
Preferably, the control module transfers the parameters of water heater recently three times.
5. the water-heater system method for diagnosing and processing fault according to claim 4 based on big data, which is characterized in that when When the water heater fault message that control module determines that user is fed back is consistent with water heater actual motion state, then further analysis Trouble cause;Otherwise, without accident analysis.
6. the water-heater system method for diagnosing and processing fault according to claim 2 based on big data, which is characterized in that every A water heater is provided with the identification feature for differentiation, and the identification feature of each water heater and corresponding water heater are every Parameter is collectively stored in the memory module;
Preferably, the identification feature is machine code.
7. the water-heater system method for diagnosing and processing fault according to claim 6 based on big data, which is characterized in that institute Stating water-heater system further includes the operating terminal with Cloud Server communication connection, and the operating terminal is to described in Cloud Server transmission The fault message of the identification feature of water heater and the water heater, and receive fault cause or solution that the Cloud Server is sent Scheme;
Preferably, the operating terminal is the intelligent terminal being equipped with the application program of Cloud Server communication connection;
It is further preferred that the intelligent terminal is smart phone.
8. the water-heater system method for diagnosing and processing fault according to any one of claims 1 to 7 based on big data, feature It is, the water-heater system includes Cloud Server, and the memory module and control module are arranged in the Cloud Server; Water-heater system method for diagnosing and processing fault includes the following steps:
S1, the machine code that the water heater is inputted in the application program of operating terminal and the failure for indicating water heater letter Breath;
S2, the Cloud Server communicated to connect with operating terminal receive the fault message;
S3, the control module transfer the parameters of the water heater several times recently being stored in memory module;
The parameters that S4, analysis S3 are transferred, if water heater working model is consistent with the water heater fault message, Illustrate that the fault message of user feedback is accurate, there are failures for water heater, into S5;Otherwise, then illustrate the failure letter of user feedback Cease it is wrong, feed back to mobile phone prompt provided by fault message it is wrong;
S5, the control module transfer water heater parameters relevant to this failure from memory module;
Parameter in S6, control module analysis S5, if it find that certain parameter exceeds normal range (NR), then preliminary latch failure is former Trouble unit of the cause with corresponding to;
S7, the control module further analyze other corresponding history parameters of the trouble unit;
S8, the control module are analyzed to obtain the failure of trouble unit according to the history parameters of the trouble unit in the S7 Generational verctor;
S9, the control module formulate corresponding processing scheme according to the obtained failure generational verctor of S8, and by the failure Generational verctor and processing scheme are issued in the operating terminal;
S10, user failure generational verctor and processing scheme according to received by operating terminal carry out troubleshooting to water heater.
9. the water-heater system method for diagnosing and processing fault according to claim 8 based on big data, which is characterized in that right User feedback water heater is unable to the method for diagnosing and processing fault of normal heating using water-heater system fault diagnosis processing side Method;
The fault message, which refers to, indicates that the water heater is unable to the fault message of normal heating;
In the step S3, the control module transfers the water heater temperature of characterization water heater physical state parameter recently three times Parameter, and the heated condition parameter of characterization water heater electrical operation state parameter;
In the step S4, the parameters that analysis S3 is transferred, if the changing rule of water heater temperature's parameter of water heater It is not inconsistent with heated condition parameter, then illustrates that water heater working model is consistent with the water heater fault message, is i.e. user feedback Fault message is accurate, and water heater has the failure that cannot be heated, into S5;Otherwise, then illustrate that the fault message of user feedback has Accidentally, feeding back to mobile phone prompts provided fault message wrong;
In the step S5, the control module water heater parameters relevant to this failure, institute are transferred from memory module Stating parameters is heating tube history operating time and relay historical action number.
10. a kind of system of the water-heater system fault diagnosis processing based on big data, uses any institute of such as claim 1 to 9 The water-heater system method for diagnosing and processing fault based on big data stated, which is characterized in that the system comprises the companies of data each other The memory module and control module connect, the memory module store the parameters real-time perfoming of each water heater, the control Molding root tuber according to the water heater fault message that the historical data and user of parameters in memory module are fed back judge failure at Cause provides solution.
CN201711430684.9A 2017-08-31 2017-12-26 A kind of water-heater system method for diagnosing and processing fault and system based on big data Pending CN109425123A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710771966 2017-08-31
CN2017107719669 2017-08-31

Publications (1)

Publication Number Publication Date
CN109425123A true CN109425123A (en) 2019-03-05

Family

ID=65513736

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711430684.9A Pending CN109425123A (en) 2017-08-31 2017-12-26 A kind of water-heater system method for diagnosing and processing fault and system based on big data

Country Status (1)

Country Link
CN (1) CN109425123A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110686411A (en) * 2019-10-15 2020-01-14 青岛经济技术开发区海尔热水器有限公司 Fault processing method and device for gas water heater and storage medium
CN111288664A (en) * 2020-03-23 2020-06-16 珠海格力电器股份有限公司 Fault detection method and device for water heater and gas water heater
CN112254208A (en) * 2020-10-27 2021-01-22 安徽佳暖节能科技有限公司 Heating electric water heater fault analysis system and detection method thereof
WO2022142223A1 (en) * 2020-12-31 2022-07-07 三一汽车制造有限公司 Work machine fault processing method, system, and electronic device
CN117287854A (en) * 2023-10-09 2023-12-26 东莞市锦沐节能科技有限公司 Water heater fault positioning analysis method and system based on big data on-line monitoring

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08271039A (en) * 1995-03-30 1996-10-18 Harman Co Ltd Remote operation type apparatus
CN104329806A (en) * 2014-11-25 2015-02-04 珠海格力电器股份有限公司 Control method and device of water heater unit and water heater unit
CN104536417A (en) * 2014-12-23 2015-04-22 广东万和新电气股份有限公司 Water heater monitoring method, server and system
CN105066381A (en) * 2015-09-15 2015-11-18 珠海格力电器股份有限公司 Method and device for obtaining maintenance information of air conditioner
CN205002413U (en) * 2015-09-24 2016-01-27 樱花卫厨(中国)股份有限公司 Intelligent gas heater
CN107038485A (en) * 2017-03-02 2017-08-11 美的智慧家居科技有限公司 Equipment obstacle management method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08271039A (en) * 1995-03-30 1996-10-18 Harman Co Ltd Remote operation type apparatus
CN104329806A (en) * 2014-11-25 2015-02-04 珠海格力电器股份有限公司 Control method and device of water heater unit and water heater unit
CN104536417A (en) * 2014-12-23 2015-04-22 广东万和新电气股份有限公司 Water heater monitoring method, server and system
CN105066381A (en) * 2015-09-15 2015-11-18 珠海格力电器股份有限公司 Method and device for obtaining maintenance information of air conditioner
CN205002413U (en) * 2015-09-24 2016-01-27 樱花卫厨(中国)股份有限公司 Intelligent gas heater
CN107038485A (en) * 2017-03-02 2017-08-11 美的智慧家居科技有限公司 Equipment obstacle management method and system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110686411A (en) * 2019-10-15 2020-01-14 青岛经济技术开发区海尔热水器有限公司 Fault processing method and device for gas water heater and storage medium
CN111288664A (en) * 2020-03-23 2020-06-16 珠海格力电器股份有限公司 Fault detection method and device for water heater and gas water heater
CN111288664B (en) * 2020-03-23 2021-04-09 珠海格力电器股份有限公司 Fault detection method and device for water heater and gas water heater
CN112254208A (en) * 2020-10-27 2021-01-22 安徽佳暖节能科技有限公司 Heating electric water heater fault analysis system and detection method thereof
WO2022142223A1 (en) * 2020-12-31 2022-07-07 三一汽车制造有限公司 Work machine fault processing method, system, and electronic device
CN117287854A (en) * 2023-10-09 2023-12-26 东莞市锦沐节能科技有限公司 Water heater fault positioning analysis method and system based on big data on-line monitoring
CN117287854B (en) * 2023-10-09 2024-03-26 东莞市锦沐节能科技有限公司 Water heater fault positioning analysis method and system based on big data on-line monitoring

Similar Documents

Publication Publication Date Title
CN109425123A (en) A kind of water-heater system method for diagnosing and processing fault and system based on big data
CN102323806B (en) Inverter monitoring platform and monitoring method thereof
CN107909300A (en) Intelligent plant management platform and method
CN103984316A (en) Energy management device and system
CN103760844B (en) A kind of commercial kitchen centralized monitoring system and method
CN108401013A (en) A kind of smart home Internet of Things communication device
CN104181899A (en) Smart water management platform
CN104793569B (en) It is straight to drive numerical control turret intelligent controller
CN102053608A (en) Method for energy consumption interactive processing in production process
CN111722603A (en) Management and control system and management and control method for production workshop
Laayati et al. Smart energy management: Energy consumption metering, monitoring and prediction for mining industry
CN108052020B (en) Chemical process simulator for intelligent manufacturing
CN204009565U (en) Water utilities management platform
CN105526777A (en) Remote diagnosing and reminding system and method for abnormal operation of refrigerator
CN110161942A (en) Production equipment information real-time monitoring system and method
CN104049590A (en) Extensible energy management architecture
CN113111261A (en) Data processing method of cloud platform, cloud platform and panoramic analysis system
CN105139206A (en) Electronic water closet rapid after-sale service system based on WiFi
CN214067660U (en) Monitoring system based on Internet of things
CN203949385U (en) Water-heater system and water heater, wearable intelligent equipment, mobile terminal
CN104898495A (en) Intelligent switching control method and intelligent switching control device
CN207397071U (en) Dyeing apparatus condition monitoring system based on Internet of Things
CN103941607A (en) One-key control method, one-key control device, wire control device and controlled device
CN106354015A (en) Remote monitoring and online debugging method of diagonal recurrent neural network control system
KR20120040315A (en) Smart receptacle for consumption power pattern analyzing system

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