CN110456194A - Frequency conversion fan service life monitoring method and device for air disinfecting and purifying device - Google Patents

Frequency conversion fan service life monitoring method and device for air disinfecting and purifying device Download PDF

Info

Publication number
CN110456194A
CN110456194A CN201910698055.7A CN201910698055A CN110456194A CN 110456194 A CN110456194 A CN 110456194A CN 201910698055 A CN201910698055 A CN 201910698055A CN 110456194 A CN110456194 A CN 110456194A
Authority
CN
China
Prior art keywords
frequency conversion
conversion fan
service life
current value
monitoring method
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.)
Granted
Application number
CN201910698055.7A
Other languages
Chinese (zh)
Other versions
CN110456194B (en
Inventor
张卫东
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.)
Billion Oxygen Environmental Technology Shanghai Co ltd
Original Assignee
Yiyi Environmental Technology (shanghai) 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 Yiyi Environmental Technology (shanghai) Co Ltd filed Critical Yiyi Environmental Technology (shanghai) Co Ltd
Priority to CN201910698055.7A priority Critical patent/CN110456194B/en
Publication of CN110456194A publication Critical patent/CN110456194A/en
Application granted granted Critical
Publication of CN110456194B publication Critical patent/CN110456194B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0092Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring current only
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Disinfection, Sterilisation Or Deodorisation Of Air (AREA)
  • Apparatus For Disinfection Or Sterilisation (AREA)

Abstract

The present invention relates to a kind of frequency conversion fan service life monitoring methods and device for air disinfecting and purifying device, comprising: step S1: when frequency conversion fan is powered, acquiring the timing information of electric current and is sent to server;Step S2: the timing information of electric current of the server based on acquisition extracts feature vector, and the feature vector of extraction is inputted trained first model to obtain remaining life percentage.Compared with prior art, the present invention determines the remaining life of frequency conversion fan by networking mode and cloud, alleviates the pressure of terminal, to be conducive to the cost of reduction device, and more accurately obtains result.

Description

Frequency conversion fan service life monitoring method and device for air disinfecting and purifying device
Technical field
The present invention relates to a kind of fan life detection techniques, more particularly, to a kind of change for air disinfecting and purifying device Frequency fan life monitoring method and device.
Background technique
The people of concern with to(for) health, air cleaning class product have obtained significant progress, purify class at present and all take The life tests for filter core are loaded with, but often all lack the detection for blower, the reason is that, existing purification class product All be using strainer combination blower by the way of, the requirement to blower is lower, be not related to for blower precision control.
In this regard, some novel purification class products are without filter core or need to carry out frequency conversion fan accurate control System, or it is normally opened due to needing, and the loss of blower is big, needs to safeguard blower.Therefore exist for the life tests of blower It is necessary on these products, and may be implemented accurately to detect the service life of blower without product at present.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind to be used for air sterillization The frequency conversion fan service life monitoring method and device of purification device.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device, comprising:
Step S1: it when frequency conversion fan is powered, acquires the timing information of electric current and is sent to server;
Step S2: the timing information of electric current of the server based on acquisition extracts feature vector, and by the feature vector of extraction Trained first model is inputted to obtain remaining life percentage.
The training process of first model includes:
Step A1: obtaining multiple groups test data, wherein every group of test data includes that a frequency conversion fan is energized to for the first time certainly The timing information of electrical current when end-of-life;
Step A2: for each group of test data, multiple feature vectors, and all spies based on this group of test data are extracted Sign vector obtains the remaining life percentage of each feature vector;
Step A3: using all feature vectors and corresponding remaining life percentage as training set data the first mould of training Type.
Described eigenvector includes accumulative energization electricity and on-off times.
Switching frequency in each group test data is not mutually equal, and for same group of test data, removes last two secondly, appointing The energization electricity anticipated between switching twice in succession is equal, wherein the switching frequency is logical between switching twice in succession twice Power consumption.
The timing information of the electric current specifically:
{(i1,t1),(i2,t2),…,(ik,tk),…,(iN,tN)}
Wherein: i1For first current value, t1At the beginning of first current value, i2For for the second current value, t2For At the beginning of second current value, ikFor k-th of current value, tkAt the beginning of k-th of current value, iNFor the last one Current value, tNAt the beginning of the last one current value.
Remaining life percentage is determined by accumulative energization electricity accounting in the step A2.
A kind of device for realizing the above method, including controller and main power source further include current detection module and energy storage electricity Pond, the energy-storage battery are welded on mainboard, are connect with the current detection module and controller and are powered for it, the main electricity Source is connect with controller, current detection module and frequency conversion fan respectively.
The frequency conversion fan includes motor and blade assembly.
Compared with prior art, the invention has the following advantages:
1) remaining life that frequency conversion fan is determined by networking mode and cloud, alleviates the pressure of terminal, to have Conducive to the cost of reduction device, and more accurately obtain result.
2) actual test data training pattern is utilized, the accuracy of model can be improved.
3) feature vector includes accumulative energization electricity and on-off times, has taken into account on-off times, improves monitoring precision.
4) same group of test data, except last two secondly, arbitrary continuation switch twice between energization electricity it is equal, can be with So that the remaining life percentage in training set data is more accurate.
5) in timing information, only the data at variation moment are stored, have greatly reduced data volume, reduce flow and The consumption of memory space.
6) energy-storage battery is welded on mainboard, can not be disassembled, and can be current detecting mould in air disinfecting and purifying device Block carries out afterflow power supply, to obtain the timing information of more accurate electric current.
Detailed description of the invention
Fig. 1 is the key step flow diagram of the method for the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention Premised on implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to Following embodiments.
Embodiment 1
A kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device, as shown in Figure 1, comprising:
Step S1: it when frequency conversion fan is powered, acquires the timing information of electric current and is sent to server;
Step S2: the timing information of electric current of the server based on acquisition extracts feature vector, and by the feature vector of extraction Trained first model is inputted to obtain remaining life percentage, wherein the first model can be using convolutional neural networks etc..
Wherein, the training process of the first model includes:
Step A1: obtaining multiple groups test data, wherein every group of test data includes that a frequency conversion fan is energized to for the first time certainly The timing information of electrical current when end-of-life;
Step A2: for each group of test data, multiple feature vectors, and all spies based on this group of test data are extracted Sign vector obtains the remaining life percentage of each feature vector, wherein remaining life percentage is by adding up energization electricity accounting It determines;
Step A3: using all feature vectors and corresponding remaining life percentage as training set data the first mould of training Type.
Feature vector includes accumulative energization electricity and on-off times, has taken into account on-off times, improves monitoring precision, each group Switching frequency in test data is not mutually equal, and for same group of test data, except last two secondly, arbitrary continuation is opened twice Energization electricity between pass is equal, wherein switching frequency is the energization electricity between switching twice in succession twice.
The timing information of electric current specifically:
{(i1,t1),(i2,t2),…,(ik,tk),…,(iN,tN)}
Wherein: i1For first current value, t1At the beginning of first current value, i2For for the second current value, t2For At the beginning of second current value, ikFor k-th of current value, tkAt the beginning of k-th of current value, iNFor the last one Current value, tNAt the beginning of the last one current value.
A kind of device for realizing the above method, including controller and main power source further include current detection module and energy storage electricity Pond, energy-storage battery are welded on mainboard, are connect with current detection module and controller and are powered for it, main power source respectively with control Device, current detection module are connected with frequency conversion fan, and frequency conversion fan includes motor and blade assembly.Energy-storage battery is welded in mainboard On, it can not be disassembled, can be that current detection module carries out afterflow power supply in air disinfecting and purifying device, to obtain more quasi- The timing information of true electric current.
In the present embodiment, for obtaining for step A2 training set, each time from ik-1Become ikAs kth time energization section, From t1To tkCurrent value is integrated and can obtain accumulative energization electricity, in test data, by obtained accumulative energization electricity The ratio of amount and total energization electricity is as used service life percentage, and 1 to subtract used service life percentage be remaining life Percentage.
The testing experiment of test set is carried out using the application, when the prediction accuracy of remaining life is relative to only considering to be powered Between mode, improve 30% or more.

Claims (8)

1. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device characterized by comprising
Step S1: it when frequency conversion fan is powered, acquires the timing information of electric current and is sent to server;
Step S2: the timing information of electric current of the server based on acquisition extracts feature vector, and the feature vector of extraction is inputted Trained first model is to obtain remaining life percentage.
2. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device according to claim 1, special Sign is that the training process of first model includes:
Step A1: obtaining multiple groups test data, wherein every group of test data includes that a frequency conversion fan is energized to the service life for the first time certainly At the end of electrical current timing information;
Step A2: for each group of test data, extracting multiple feature vectors, and all features based on this group of test data to Measure the remaining life percentage of each feature vector;
Step A3: using all feature vectors and corresponding remaining life percentage as training set data the first model of training.
3. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device according to claim 1 or 2, It is characterized in that, described eigenvector includes accumulative energization electricity and on-off times.
4. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device according to claim 3, special Sign is that the switching frequency in each group test data is not mutually equal, and for same group of test data, removes last two secondly, appointing The energization electricity anticipated between switching twice in succession is equal, wherein the switching frequency is logical between switching twice in succession twice Power consumption.
5. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device according to claim 1, special Sign is, the timing information of the electric current specifically:
{(i1,t1),(i2,t2),…,(ik,tk),…,(iN,tN)}
Wherein: i1For first current value, t1At the beginning of first current value, i2For for the second current value, t2It is second At the beginning of a current value, ikFor k-th of current value, tkAt the beginning of k-th of current value, iNFor the last one electric current Value, tNAt the beginning of the last one current value.
6. a kind of frequency conversion fan service life monitoring method for air disinfecting and purifying device according to claim 4, special Sign is that remaining life percentage is determined by accumulative energization electricity accounting in the step A2.
7. a kind of device for realizing any the method in claim 1~6, including controller and main power source, which is characterized in that It further include current detection module and energy-storage battery, the energy-storage battery is welded on mainboard, with the current detection module and control Device processed is connected and is powered for it, and the main power source is connect with controller, current detection module and frequency conversion fan respectively.
8. device according to claim 7, which is characterized in that the frequency conversion fan includes motor and blade assembly.
CN201910698055.7A 2019-07-31 2019-07-31 Method and device for monitoring service life of variable frequency fan for air disinfection and purification device Active CN110456194B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910698055.7A CN110456194B (en) 2019-07-31 2019-07-31 Method and device for monitoring service life of variable frequency fan for air disinfection and purification device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910698055.7A CN110456194B (en) 2019-07-31 2019-07-31 Method and device for monitoring service life of variable frequency fan for air disinfection and purification device

Publications (2)

Publication Number Publication Date
CN110456194A true CN110456194A (en) 2019-11-15
CN110456194B CN110456194B (en) 2021-07-16

Family

ID=68484097

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910698055.7A Active CN110456194B (en) 2019-07-31 2019-07-31 Method and device for monitoring service life of variable frequency fan for air disinfection and purification device

Country Status (1)

Country Link
CN (1) CN110456194B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1862278A (en) * 2005-05-12 2006-11-15 通用电气公司 Method and system for predicting remaining life for motors featuring on-line insulation condition monitor
CN102749584A (en) * 2012-07-17 2012-10-24 哈尔滨工业大学 Prediction method for residual service life of turbine generator based on ESN (echo state network) of Kalman filtering
CN103019135A (en) * 2012-11-28 2013-04-03 北京金风科创风电设备有限公司 Method and system for predicting service life of fan component
CN103470521B (en) * 2013-09-26 2016-03-23 海南金盘电气有限公司 Fan life prediction device
CN106612094A (en) * 2015-10-26 2017-05-03 发那科株式会社 Machine learning apparatus and method, life prediction apparatus and motor driving apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1862278A (en) * 2005-05-12 2006-11-15 通用电气公司 Method and system for predicting remaining life for motors featuring on-line insulation condition monitor
CN102749584A (en) * 2012-07-17 2012-10-24 哈尔滨工业大学 Prediction method for residual service life of turbine generator based on ESN (echo state network) of Kalman filtering
CN103019135A (en) * 2012-11-28 2013-04-03 北京金风科创风电设备有限公司 Method and system for predicting service life of fan component
CN103470521B (en) * 2013-09-26 2016-03-23 海南金盘电气有限公司 Fan life prediction device
CN106612094A (en) * 2015-10-26 2017-05-03 发那科株式会社 Machine learning apparatus and method, life prediction apparatus and motor driving apparatus

Also Published As

Publication number Publication date
CN110456194B (en) 2021-07-16

Similar Documents

Publication Publication Date Title
CN104993974B (en) A kind of detection method and host computer identifying equipment working state
CN102077105A (en) Method for battery capacity estimation
CN110320425A (en) A kind of Buck class straight convertor output capacitance ESR monitoring method
CN108490365A (en) A method of the remaining life of the power battery of estimation electric vehicle
CN109031103B (en) Performance degradation and state evaluation method for alternating current contactor
CN107797074A (en) A kind of cell batteries internal resistance measurement circuit and measuring method
CN107422218B (en) Bad load recognizer and recognition methods
CN105522929A (en) Methods and apparatus for detecting electrical leakage in a vehicle
CN109324285A (en) A kind of load switch event detecting method and system
CN216848010U (en) Cable partial discharge online monitoring device for edge calculation
CN110929115B (en) Power utilization safety monitoring method and system based on power utilization characteristics
CN110492610A (en) A kind of topological identifying system allowing hot line job
CN110456194A (en) Frequency conversion fan service life monitoring method and device for air disinfecting and purifying device
CN100371687C (en) Method of operating a measuring apparatus
CN206710499U (en) A kind of current data harvester based on Rogowski coil
CN109752664A (en) A kind of charging detects the method and application of battery core internal resistance in battery pack
CN104569756A (en) Switch cabinet partial discharge on-line monitoring system based on electronic nose sensor
CN110488116A (en) A kind of anion tube lifetime monitoring method for air disinfecting and purifying device
CN207528887U (en) A kind of cell batteries internal resistance measurement circuit
CN206224183U (en) A kind of Internet of Things gas meter controller based on the GPRS communication technologys
CN112470013B (en) Electric vehicle charging monitoring device and method
CN108398592A (en) A kind of test method of alternative stray current
EP3632854B1 (en) A method for measuring water quality and a method for operating a system allowing for purification and recycling of water or separation of water
CN209264903U (en) A kind of insulation detecting circuit module and a kind of automatic alarm circuit
CN207601174U (en) A kind of taiwan area acquisition terminal and unit-area management 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
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 1188 Jiuye Road, Qingpu District, Shanghai, 201712

Patentee after: Billion Oxygen Environmental Technology (Shanghai) Co.,Ltd.

Address before: 201619 No. 1586 Changxing East Road, Dongjing Town, Songjiang District, Shanghai

Patentee before: Yiyi Environmental Technology (Shanghai) Co.,Ltd.