CN101871998A - Forecasting method and system of remaining service life of battery of sensing appliance - Google Patents
Forecasting method and system of remaining service life of battery of sensing appliance Download PDFInfo
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- CN101871998A CN101871998A CN200910038962A CN200910038962A CN101871998A CN 101871998 A CN101871998 A CN 101871998A CN 200910038962 A CN200910038962 A CN 200910038962A CN 200910038962 A CN200910038962 A CN 200910038962A CN 101871998 A CN101871998 A CN 101871998A
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Abstract
The invention relates to a forecasting method of remaining service life of a battery of a sensing appliance, which is characterized by comprising the following steps of: 1. setting the discharge capacity of the battery and the power parameter of an action component of the appliance; 2. carrying out the action count on the action component; 3. extracting the action times of the action component; 4. calculating the power consumption of the action component of the appliance; and 5. calculating the remaining power of the battery. In the technical scheme provided by the invention, the action times of the action component of the sensing appliance is recorded, and accordingly, the remaining service life of the battery is forecasted so as to obtain sufficient time to carry out the equalization treatment of a battery replacement business, thereby not only ensuring that the electric energy of the battery is reasonably utilized and saving manpower but also eliminating the condition of restricted use on products because of underpower and ensuring that good hygienic environments can be continuously kept in restrooms.
Description
Affiliated technical field
The present invention relates to the toilet sensing apparatus, refer to that especially induction tap, induction urine bath device, induction stool bath device, induction water tank etc. are installed in the utensil of toilet, relate to sensing apparatus remaining battery life Forecasting Methodology and system.
Background technology
The sensing apparatus that is used for the toilet as induction tap, induction urine bath device, induction stool bath device, induction water tank etc., possesses health, characteristics easy to use, wherein, adopt battery powered product owing to there is not the potential safety hazard of electric shock, install supporting fewly, use more and more widely.But, unavoidably need to change battery owing to be powered battery.In fact, even be installed in the sensing apparatus of same toilet, also there is usage frequency difference.For example, near the usage frequency of the induction tap on doorway or bath device just greater than leaning on the lining.Therefore, the battery of each sanitary equipment serviceable life may be widely different, and this brings puzzlement just for the replacing battery.The previous typical replacing cell process of order is as follows, battery send owe electric alarm---user reports barrier---supplier goes to maintenance.Fig. 1 is the existing battery process flow diagram of changing.The heavy line arrow is represented the evolution of battery power consumption among the figure, and when arrow touched maintainer's square frame, the expression battery sends owed electric alarm, and the maintainer receives newspaper barrier information.The quantity that product is installed is huge more, and it is just many more electric product quantity of warning to occur owing at synchronization.As figure, there are 3 lines that are labeled as the band arrow of maintenance to touch utensil 1, utensil n, the utensil n+x that newspaper hinders respectively, 3 maintainers fault of preparation implements 1, utensil n, utensil n+x is respectively sent in expression.Owing at present in the sensing sanitary appliance field, do not have the effective means of the life prediction of battery, the business of therefore changing battery adopts the mode of fireman's fire fighting to operate.For in rational time (little to the doorstep as city 24, suburb 48 hours) to the doorstep, supplier will keep a maintainer troop in large scale, its cost will directly be married again on one's body the user.In addition, even the user changes battery voluntarily, for example, if guarantee all sensing apparatus reliabilities of operation of toilet, battery life with the product that uses the frequency maximum is foundation, when the battery of the product of usage frequency maximum uses up, the just unified battery of changing all products, this must cause waste.If after product sends and owes the electricity warning by the time, just change battery,, also cause another problem though the utilization of battery power is abundant like this.Because the manufacturer can reliably close the water source when guaranteeing that product is owed electricity usually, to owe just to lock product after the electricity warning sending usually, product can not use, till changing new battery.Therefore product is in the restriction user mode during changing battery, will constitute heavy pressure to the hygienic conditions of toilet.
Therefore, if can predict the life-span of sensing apparatus battery, it is the most reasonable just can to determine when change battery, for example be to send at battery to owe the residual life that battery is known in the electricity warning in previous week or month, the time that just can obtain abundance is carried out the equalization processing of battery altering business, so both guaranteed that battery power was used appropriately, save staff, also eliminated simultaneously owing to owe the situation appearance that electricity causes the product restriction to be used, guaranteed that the toilet can continue to keep the good hygiene environment.
Summary of the invention
The objective of the invention is in order to solve the deficiencies in the prior art, provide a kind of the realization to intervene before the lavatory apparatus capable fault, make maintenance work obtain equilibrium, to reduce maintenance cost, and can avoid because of can not in time changing battery the user toilet being caused the sensing apparatus remaining battery life Forecasting Methodology of the deficiency of health puzzlement, it is characterized in that comprising the steps:
Step 1: discharge capacity of the cell and appliance action part power parameter are set;
Step 2: carry out action component action counting;
Step 3: extract the action component action frequency;
Step 4: calculating appliance action component power consumption;
Step 5: counting cell dump energy.
Further, also set utensil static power parameter, calculate the quiescent dissipation value, the calculating appliance total power consumption.
Further, go back the setting unit time period; Also carry out increment action counting in the action component unit interval section; Set up increment action number of times and the funtcional relationship of action component power consumption and time; Calculate described battery remaining power time corresponding by described funtcional relationship.
Further, described utensil, installation addresses, remaining battery life information are composed of database.
The present invention also provides sensing apparatus remaining battery life prognoses system, it is characterized in that:
Be provided with counting assembly, extraction element, computing module and output interface;
Described counting assembly carries out action component action counting; Be provided with counting module and data outputting module, described counting module is electrically connected with the power input of described action component; Described data outputting module is electrically connected with counting module;
Described extraction element extracts the action frequency of action component, be provided with data interconnecting module and storer, described data interconnecting module is provided with Data Input Interface and data output interface, Data Input Interface is connected with described counting assembly data outputting module, the data of described memory stores data input interface input; Data output interface is connected with computing module;
Described computing module calculates remaining battery life;
Described output interface is exported described remaining battery life information.
Further, described computing module is also imported catastrophic failure utensil data.
Further, described computing module is also safeguarded the precedence formation with utensil by the length sort generator tool of battery life.
Further, described output interface display and/or printer.
Technical scheme provided by the invention, by record sensing apparatus action component action frequency, the life-span of prediction sensing apparatus battery, it is the most reasonable just can to determine when change battery, for example be to send at battery to owe the residual life that battery is known in the electricity warning in previous week or month, the time that just can obtain abundance is carried out the equalization processing of battery altering business, so both guaranteed that battery power was used appropriately, save staff, also eliminated simultaneously owing to owe the situation appearance that electricity causes the product restriction to be used, guaranteed that the toilet can continue to keep the good hygiene environment.
Description of drawings
Fig. 1 is existing upkeep operation process flow diagram.
Fig. 2 is a remaining battery life Forecasting Methodology process flow diagram.
Fig. 3 is a remaining battery life prognoses system logic diagram.
Fig. 4 is the counting assembly structural representation.
Fig. 5 is the extraction element structural representation.
Fig. 6 is the upkeep operation process flow diagram that adopts sensing apparatus remaining battery life prognoses system.
Table 1 is an action component action frequency record sheet.
Table 2 is appliance batteries lifetime data tables.
Embodiment
The present invention is further described in conjunction with the accompanying drawings and embodiments.
Embodiments of the invention provide a kind of sensing apparatus remaining battery life Forecasting Methodology,
Consult Fig. 2, this embodiment comprises the steps:
Step 201: discharge capacity of the cell and appliance action part power parameter are set; Wherein, discharge capacity of the cell can obtain from the battery production merchant, and for example a typical battery parameter is expressed as: nominal voltage DC6.0V, nominal capacity 2,000mah (MAH).In the application process of reality, can set one usually and revise number percent calculation of parameter discharge capacity of the cell, for example 80%, represent that promptly discharge capacity of the cell presses 80% of nominal capacity and calculate.For present embodiment, discharge capacity of the cell: 2,000mahx80%=1,600mah.Also can obtain as for the appliance action part power parameter from manufacturer.With the induction tap is example, if action component is a solenoid valve, a typical solenoid valve parameter is expressed as: rated voltage DC6.0V, and 16 ohm of coil resistances, unbalanced pulse width 35ms (millisecond) closes pulse width 35ms (millisecond).Wherein 35ms (millisecond)=0.035s (second)=0.00000972h (hour), current value is 6/16=0.375a (ampere)=375ma (milliampere).
Induction tap switch power consumption once: 375max0.00000972hx2=0.0073mah (MAH).
Step 202: setting unit time period; For example be to be the unit interval section with 30 days.Set up the corresponding relation of action frequency and unit interval section.By adding up the action frequency in some unit interval sections, obtain utensil usage frequency information, and then more reasonably assess the time that appliance action part may break down.
Step 203: carry out action component action counting; With the solenoid valve is example, and the pulse signal that drives solenoid valve is counted, and can realize the action counting of induction tap action component.
Step 204: extract the action component action frequency; The subject matter that this step relates to is the time interval of extracting data.The usage frequency of this time interval and utensil, the factors such as staff number of extracting data are relevant.For example, in preceding several unit interval sections that induction tap uses, can extract weekly once, after the data of the use power consumption of obtaining this induction tap, just can prolong extraction interval time was 1.5 to 2 weeks.When the remaining battery discharge capacity only is discharge capacity of the cell 20%, can be adjusted into for 0.25 to 0.5 week interval time with extracting.
Present embodiment hypothesis induction tap amounts to 3 unit interval sections service time.Data are as shown in table 1.In first unit interval section, the cumulative number of action component is 5,000 times, and the increment number of times is 5,000 times; Second unit interval section, the cumulative number of action component is 20,000 times, and the increment number of times is 15,000 times; The 3rd unit interval section, the cumulative number of action component is 60,000 times, and the increment number of times is 40,000 times.
Table 1 action component action frequency record sheet
| Project | Unit interval section 1 | Unit interval section 2 | |
| The accumulative total action frequency | ??5,000 | ??20,000 | ??60,000 |
| Current increment action number of times | ??5,000 | ??15,000 | ??40,000 |
| Weights | ??1 | ??3 | ??8 |
Step 205: counter action component power consumption; At first calculate the power consumption of action component.According to the data of table 1, action component accumulative total is moved its power consumption 60,000 times: 60, and 000x0.0073mah=438mah.
Step 206: counting cell residual life.Discharge capacity of the cell is deducted appliance action part power consumption be this remaining battery discharge capacity, promptly 1,600mah-438mah=1,162mah.Continue to use table 1 data.Induction tap amounts to 3 unit interval sections service time.Unit interval section average power consumption: 438mah/3=146mah, be the service time of remaining battery discharge capacity: 1,162mah/146mah=7.96 unit interval section, battery can also be used 7.96x30=238.8 days.
If the unit interval section with regard to different usage frequencies is provided with corresponding weighted value, the unit interval section that for example usage frequency is high is provided with higher power.Adopt weighted calculation, the remaining life of its prediction will more approach actual conditions.Continue to use table 1 data.Calculate weighted mean: (5,000x1+15,000x3+40,000x8)/(1+3+8)=30,833 time/the unit interval section.Weighted units time period average power consumption: 30,833x0.0073mah=225.08mah
Be the service time of remaining battery discharge capacity: 1, and 162mah/225.08mah=5.16 unit interval section, battery can also be used 5.16x30=154.8 days.
In addition, the parameter relevant with the utensil power consumption also has utensil static power parameter, and utensil static power parameter refers to that specifically utensil for example is the power consumption of induction tap at holding state, also is to obtain from manufacturer.A typical utensil static power parameter is expressed as: quiescent current≤25ua (microampere)=0.025ma (milliampere).According to table 1 data, utensil quiescent dissipation: 0.025ma (milliampere) x24h/d (hour/day) x30d in the unit interval section (my god)=18mah (MAH).Therefore revised remaining battery discharge capacity is 1,600mah-438mah-3x18mah=1,108mah.Calculate the service time of revising back remaining battery discharge capacity with weighted units time period average power consumption.1,108/ (225.08+18)=4.56 unit interval section, battery can also be used 4.56x30=136.8 days.
The prediction of above-mentioned remaining battery life also relates to the identification problem of data, for example is how Database Systems differentiate which utensil receives data be from.Multiple known solution is arranged, for example be that utensil is encoded, promptly utensil all has identification code, when utensil transmits data, identification code is synthesized in the data that need to transmit, and just can to determine described data by identification code be to belong to which utensil to data receiver like this.Obviously data identification problem involved in the present invention belongs to the known technology field, directly uses prior art and promptly can solve, and detailed description is not done in this enforcement.
Step 207: output result.Induction tap, installation addresses, remaining battery life information are composed of database.The life-span of appliance batteries can prediction and calculation in theory, but in the use of reality, also has some burst factors to cause battery failures, and these faults are generally unpredictable.Usually, for supplier, for the fault utensil promise of safeguarding the response time is arranged all, as city 24 little calling, called in the suburb in 48 hours.Therefore if the fault of different response times just forms naturally and handles catastrophic failure utensil precedence, being equivalent to the fault utensil also has bimetry, and just bimetry is by the generation of safeguarding the response time of promising to undertake, as 1 day or 2 days.The present embodiment hypothesis is 1 day and response time to be that one example respectively takes place for 2 days utensil fault the response time.
The example of a simplification, as shown in table 4, the date of formation of supposing this table is morning on April 1st, 2009.Wherein Lv represents battery life, and Lt represents failure response time, and unit all is the sky.Data processing for convenience is made as the Lt of non-catastrophic failure utensil 0 day, and the Lv of catastrophic failure utensil was made as 0 day.In the table, xxxx represents that different utensils all is installed in the xx city, but the specific address difference.
Table 2 is appliance batteries lifetime data tables
| Sequence number | The utensil numbering | Installation addresses | ??Lv | ??Lt |
| ??1 | ??1-2 | ??xxxx | ??5 | ??0 |
| ??2 | ??2-1 | ??xxxx | ??4 | ??0 |
| Sequence number | The utensil numbering | Installation addresses | ??Lv | ??Lt |
| ??3 | ??3-4 | ??xxxx | ??6 | ??0 |
| ??4 | ??4-2 | ??xxxx | ??2 | ??0 |
| ??5 | ??5-1 | ??xxxx | ??4 | ??0 |
| ??6 | ??6-2 | ??xxxx | ??2 | ??0 |
| ??7 | ??7-2 | ??xxxx | ??2 | ??0 |
| ??8 | ??8-1 | ??xxxx | ??1 | ??0 |
| ??9 | ??9-3 | ??xxxx | ??4 | ??0 |
| ??10 | ??10-3 | ??xxxx | ??3 | ??0 |
| ??11 | ??11-1 | ??xxxx | ??0 | ??1 |
| ??12 | ??12-2 | ??xxxx | ??0 | ??2 |
In the table, the utensil of sequence number 1 to 10 is used sensing apparatus remaining battery life Forecasting Methodology and is doped, and the utensil of sequence number 11 is catastrophic failure utensils, and it safeguards that the response time is 1 day, the utensil of sequence number 12 also is the catastrophic failure utensil, and it safeguards that the response time is 2 days.Can carry out common ordering processing by his-and-hers watches 2, for example be by how many ascending orders of life-span fate to arrange, and is exactly the utensil in 1 day life-span at front of queue so, needs priority processing.
Embodiments of the invention provide a kind of sensing apparatus remaining battery life prognoses system, consult Fig. 3.Sensing apparatus remaining battery life prognoses system 3 is provided with counting assembly 4, extraction element 5, computing module 6 and output interface 7.
Consult Fig. 4, described counting assembly 4 carries out action component action counting, is provided with counting module 40 and data outputting module 41, and described counting module 40 is electrically connected with the power input (drawing among the figure) of described action component; For example, adopt the utensil of solenoid valve as action component, it carries out action can be described as Kai Heguan.When opening, the power input of action component input positive pulse, input negative pulse in the time of the pass.Therefore to be electrically connected with the power input of described action component be exactly the counting that passes through acquisition pulse signal realization action component action frequency to counting module 40.For the utensil that adopts the micromotor assembly, principle is identical.Described data outputting module 41 is electrically connected with counting module 40.Wherein said data outputting module 41 reads action frequency from counting module 40, export described action frequency coding to extraction element 5 then.At the digital coding output facet, there is multiple scheme optional now, for example be infrared coding output, RF coding output etc., these technology all are known technologies, present embodiment does not elaborate.
Consult Fig. 5, described extraction element 5 extracts described action frequency, and with this data input computing module 6.Described extraction element 5 cooperates said counting device 4 to use, and is provided with data interconnecting module 50 and storer 51.Described data interconnecting module 50 is provided with Data Input Interface 500 and data output interface 501, and this Data Input Interface 500 is connected with described counting assembly data outputting module 41, the data of described storer 51 storage Data Input Interfaces 500 inputs.Like this, extraction element 5 just can extract the data in the counting assembly 4 on some the utensils, realizes the data centralization management, helps further the remaining battery life data being developed and utilized.
Consult Fig. 3,, also comprise computing module 6 and output interface 7 for present embodiment.Described data output interface 501 is imported computing module 6 with action frequency, and computing module 6 calculates remaining battery life information; The described remaining life information of described output interface 7 outputs.For example a simple calculations module can be an operation program and a single machine unit, and this program can be carried out by single machine unit.For example a typical output interface 7 is display and/or printer.
Fig. 6 uses this sensing apparatus remaining battery life prognoses system to carry out the operation process chart of maintenance service, as shown in the figure, the heavy line arrow is represented the discharge process of battery among the figure, hollow arrow notation implement battery life up and down between maintainer's square frame and the heavy line arrow, its length is represented the length of battery life, is drawn by computing module 6 predictions.As utensil 1, utensil n, utensil n+x that figure has 3 lines that are labeled as the band arrow of maintenance to touch respectively to be about to break down, maintainer's square frame has only a line to be connected with the described line of safeguarding, 1 maintainer is only sent in expression.Maintenance can make the maintenance service equalization before realizing fault.For example be, receive client's product newspaper barrier, the processing of need in 24 hours, calling, can after receiving newspaper barrier information, utilize sensing apparatus remaining battery life prognoses system to calculate the life-span of appliance batteries so, if find near the utensil that exists battery to be about to use up the newspaper barrier client, the maintainer goes to when safeguarding like this, can handle in passing and change the utensil that described battery is about to use up, improve, make maintenance work obtain equilibrium when time benefit of trip upkeep operation.And for the maintenance service of Fei Tefa fault, then can carry out more efficiently equalization and handle.
Simplified model of design supposes that this forecasting process does not have the special fault of sending out below.
Suppose:
1) induction tap installation total amount is 100,000 covers, and it is 100% that the probability that occurred 1 ‰ failure rates in a day was arranged in 100 days, and the probability that promptly occurred having 100 induction taps to break down in a day in 100 days is 100%.
2) induction tap that broke down in 100 days adds up to 1,000.
3) maintainer handles the product bug of 5 different locations every day.
4) promise to undertake that the time is 24 hours to the doorstep in maintenance
5) all products all are installed in the urban district, xx city.
The time point that to suppose with morning on April 1st, 2009 be the Database Systems deal with data supposes to draw by prognoses system provided by the invention 1 ‰ failure rate days to occur for after 50 days that relate to 100 cover products, promptly the bimetry of this 100 cover product is the most approaching.According to hypothesis, this 1 ‰ failure rate appears at the 50th day after on April 1st, 2009.
According to hypothesis, a maintainer handles the product bug of 5 different locations every day.2 maintainers then can handle 10 trouble spots every day.If these 2 maintainers from these 100 trouble spots of priority processing on April 1st, 2009 (containing the same day) to April 10 (containing the same day) in 2009, promptly only need 10 day time, also remaining 40 days.Therefore having time enough to carry out equalization on the precedence of handling described 100 faulty items handles.2 people can equilibrium treatment add up to 1,000 trouble spot in 100 days.Promptly use system of the present invention, minimum 2 people can handle the maintenance work of 100,000 cover induction taps.
Consult Fig. 1, traditional mode can only be 100% this condition configuration staff according to occurring that the probability of 100 trouble spots was arranged in one day.In order to be redeemed for the promise of safeguarding to the doorstep in 24 hours, maintainer's quantity=100/5=20 people that she need be equipped with handled 1,000 fault equally in 100 days, but the mode of using fireman's fire fighting operates, and working load is unbalanced, personnel's inefficiency.
Result: after using sensing apparatus remaining battery life prognoses system, need 2 people; Traditional approach needs 20 people.Therefore use sensing apparatus remaining battery life prognoses system and can realize intervening before the fault, thereby make the maintenance work load obtain equilibrium, save staff, reduce maintenance cost, help sensing apparatus and apply, thereby improve the public environment health level.
Above-described embodiment, only as schematically illustrating, the equivalent arrangements of being done according to the present patent application claim all should be technology of the present invention and contains such as for related data and computing method.
Claims (8)
1. sensing apparatus remaining battery life Forecasting Methodology is characterized in that comprising the steps:
Step 1: discharge capacity of the cell and appliance action part power parameter are set;
Step 2: carry out action component action counting;
Step 3: extract the action component action frequency;
Step 4: calculating appliance action component power consumption;
Step 5: counting cell dump energy.
2. sensing apparatus remaining battery life Forecasting Methodology according to claim 1 is characterized in that,
Also set utensil static power parameter, calculate the quiescent dissipation value, the calculating appliance total power consumption.
3. sensing apparatus remaining battery life Forecasting Methodology according to claim 1 and 2 is characterized in that,
Setting unit time period also; Also carry out increment action counting in the action component unit interval section; Set up increment action number of times and the funtcional relationship of action component power consumption and time; Calculate described battery remaining power time corresponding by described funtcional relationship.
4. sensing apparatus remaining battery life Forecasting Methodology according to claim 1 is characterized in that, described utensil, installation addresses, remaining battery life information are composed of database.
5. sensing apparatus remaining battery life prognoses system is characterized in that:
Be provided with counting assembly, extraction element, computing module and output interface;
Described counting assembly carries out action component action counting; Be provided with counting module and data outputting module, described counting module is electrically connected with the power input of described action component; Described data outputting module is electrically connected with counting module;
Described extraction element extracts the action frequency of action component, be provided with data interconnecting module and storer, described data interconnecting module is provided with Data Input Interface and data output interface, Data Input Interface is connected with described counting assembly data outputting module, the data of described memory stores data input interface input; Data output interface is connected with computing module;
Described computing module calculates remaining battery life;
Described output interface is exported described remaining battery life information.
6. sensing apparatus remaining battery life prognoses system according to claim 5 is characterized in that,
Described computing module is also imported catastrophic failure utensil data.
7. sensing apparatus remaining battery life prognoses system according to claim 6 is characterized in that,
Described computing module is also safeguarded the precedence formation with utensil by the length sort generator tool of battery life.
8. according to the described sensing apparatus remaining battery life of one of claim 5 to 7 prognoses system, it is characterized in that,
Described output interface display and/or printer.
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| CN200910038962A CN101871998A (en) | 2009-04-24 | 2009-04-24 | Forecasting method and system of remaining service life of battery of sensing appliance |
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| CN200910038962A CN101871998A (en) | 2009-04-24 | 2009-04-24 | Forecasting method and system of remaining service life of battery of sensing appliance |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108445407A (en) * | 2018-03-19 | 2018-08-24 | 浙江国自机器人技术有限公司 | A kind of detection method of quantity of electricity, device and computer readable storage medium |
| CN109383836A (en) * | 2018-07-28 | 2019-02-26 | 深圳市旭发智能科技有限公司 | A kind of unmanned plane continuation of the journey base station |
| CN111886508A (en) * | 2019-01-23 | 2020-11-03 | 深圳市汇顶科技股份有限公司 | Method and apparatus for measuring power consumption of digital SoC to predict battery life |
-
2009
- 2009-04-24 CN CN200910038962A patent/CN101871998A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108445407A (en) * | 2018-03-19 | 2018-08-24 | 浙江国自机器人技术有限公司 | A kind of detection method of quantity of electricity, device and computer readable storage medium |
| CN109383836A (en) * | 2018-07-28 | 2019-02-26 | 深圳市旭发智能科技有限公司 | A kind of unmanned plane continuation of the journey base station |
| CN111886508A (en) * | 2019-01-23 | 2020-11-03 | 深圳市汇顶科技股份有限公司 | Method and apparatus for measuring power consumption of digital SoC to predict battery life |
| CN111886508B (en) * | 2019-01-23 | 2023-04-18 | 深圳市汇顶科技股份有限公司 | Method and apparatus for measuring power consumption of digital SoC to predict battery life |
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Open date: 20101201 |