CN101853166B - Application-oriented method and system for indicating use time of intelligent mobile phone battery - Google Patents
Application-oriented method and system for indicating use time of intelligent mobile phone battery Download PDFInfo
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- CN101853166B CN101853166B CN201010193641.5A CN201010193641A CN101853166B CN 101853166 B CN101853166 B CN 101853166B CN 201010193641 A CN201010193641 A CN 201010193641A CN 101853166 B CN101853166 B CN 101853166B
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Abstract
The invention discloses an application program-oriented method and an application program-oriented system for indicating the use time of an intelligent mobile phone battery, and belongs to the field of embedded system application software. The method comprises the following steps of: I, sampling each application on the mobile phone and calculating battery discharge rate parameters corresponding to various specific application programs; and II, according to the discharge rate parameter, forecasting the remaining use time of the battery under the condition of the continuous execution of the application program, and forecasting the sustainable execution time of other application programs appointed by a user under the condition of the current electric quantity of the battery. The system can be implemented specifically in an intelligent mobile phone operating system by the method. The method and the system indicate the remaining use time of the battery in the intelligent mobile phone, indicate the sustainable execution time of the specific application programs about which users concern, make the battery electric quantity indicating function of the intelligent mobile phone more humanistic and have good market prospect and application value.
Description
Technical field
The invention belongs to embedded system application software field, be specifically related to a kind of intelligent mobile phone battery indicating means service time and system of application program-oriented method.
Background technology
Fast-developing along with the arithmetic capability of embedded system, memory capacity, multimedia processing capability, the application that smart mobile phone can be supported is more and more, function from strength to strength, towards variation, Extraordinary future development.Yet the development of battery technology is very slow, is difficult to satisfy smart mobile phone equipment to the demand of electric weight.The subject matter that smart mobile phone faces is service time and the user's experience that limited battery capacity has limited equipment.In order to address this problem, people research and develop each class methods that reduces energy consumption, improves battery availability factor on the one hand; Be exactly by improving smart mobile phone and user's man-machine interaction method, improving user's experience on the other hand.
Smart mobile phone is typical interactive device, user and system are mainly reflected in two aspects alternately: 1) smart mobile phone is by display or audible device, to user's indication mechanism current operation conditions and battery behaviour in service, for example show the battery electric quantity of current residual; 2) input equipment and the menu of user by smart mobile phone starts or stops application program, and the pattern of regulation and control use system for example starts different application, perhaps allows cell phone standby.
Therefore, from the angle relevant with battery electric quantity, a kind of method that improves user's experience is exactly to provide good battery electric quantity deixis at smart mobile phone, accurately and timely remaining service time of battery is offered the user with reasonable manner; Perhaps can indicate to the user: if the user continues to carry out certain application-specific (as making a phone call, see video, browsing page), the time of the sustainable use of mobile phone, so that the user, regulates the mobile phone of oneself and uses pattern the mobile phone expectation of service time according to own.
On the present existing mobile phone, great majority all are the number percent that shows remaining battery power with the bar graph of 5-7 lattice, the user can't obtain the mobile phone residue information of service time, also can't know and oneself carry out under certain operational circumstances, the accurate situation of mobile phone residue variation service time, inconvenient user makes rational use decision-making.
Summary of the invention
The object of the invention is to make smart phone user can obtain in the mode that battery of mobile phone remains service time information about remaining capacity of mobile phone battery, can also obtain under current electric quantity, the information of certain sustainable execution time of application-specific is so that the user regulates use to mobile phone according to own expectation to mobile phone service time.
In the method, introduced the concept of discharge rate of battery corresponding to application program, namely set up discharge rate of battery related with the application-specific load.Studies show that, stablize in the implementation in application-specific, cause the average load of smart mobile phone relatively stable, thereby so that the discharge rate of lithium battery is relatively stable.Utilize monitoring technology that the discharge rate of battery in the application-specific implementation is calculated and stores, just can be in the smart mobile phone use procedure, at any time according to this discharge rate of battery and current battery electric quantity, the residue service time of performance prediction battery of mobile phone and sustainable execution time of application-specific.
Specifically, remaining battery indicating means service time that the present invention is directed to smart mobile phone comprises the following steps:
A. to various application programs that can be monitored, set up a time point-battery electric quantity data to sequence by the sampling of a period of time, its implementation is:
A1. obtain process identification number or the process name of various application programs that can be monitored, form the application list.Described " application program " is any application program on the smart mobile phone, such as video player, MP3 player, browser, text editor, address list management device, reader etc.
A2. obtain current program process identification number or the process name that is moving, be designated as P
i(1≤i).
A3. at described P
iAfter stable the execution, since a time point sampling.The system call or the Runtime Library function that utilize operating system to provide read battery electric quantity C
0(representing with percentages), and operating system time T at that time
0Get c
0=C
0, t
0=0, be designated as (t
0, c
0), as first time point-battery electric quantity pair, be kept at internal memory, perhaps in the writing in files.Described " operating system " provides any operation system of smart phone that this type of calls, existing operating systems such as Android, Symbian, Windows Mobile, and other is not yet issued but will comprise the operation system of smart phone that this type of calls.Described " operating system time ", refer to Greenwich Mean Time, or the relative time that provides of operating system.
A4. whenever the moment that the intelligent mobile phone battery electric weight changes, once sample, the data that obtain are to being designated as (T
i, C
i).Get c
i=C
i, t
i=T
i-T
0, be designated as (t
i, c
i), as i time point-battery electric quantity pair, join in the sample sequence;
A5. when reaching sampling number threshold value N, sampling number stops sampling.Initially be called during this period of time the sampling time to what finish from sampling.With (t
0, c
0), (t
1, c
1) ... (t
N, c
N) time point-battery electric quantity of expression in the described sampling time is to sequence, N is the sampling number threshold value.Described " sampling number threshold value N " should guarantee that the sampled data that obtains can characterize the discharge rate of battery feature of this application program or operational correspondence, can regulate according to different application programs, and span is 2 ~ 100.
B. calculate in steps A in the described sampling time described P
iCorresponding discharge rate of battery parameter k
i(discharge rate: battery electric quantity variable quantity in the unit interval comprises such as using voltage, electric current, the various variable quantities of the expressed as parameters such as power).Implementation method is:
B1. utilize described time point-battery electric quantity to sequence, battery discharge curve corresponding to Structural application program in two-dimensional coordinate system, as shown in Figure 3.X-axis and Y-axis are respectively time and battery electric quantity (100 represent with interior integer form);
B2. utilize described time point-battery electric quantity that sequence is carried out linear fit and obtain the discharge rate curve, as shown in Figure 2.The discharge rate curve is designated as dr=a-k among the figure
i* t, wherein k
iBe discharge rate rate of curve absolute value, a is the charge value at the intersection point place of this curve and Y-axis;
B3. application program P
iDischarge rate parameter k with correspondence
iBe saved in internal memory or the file.
Consider along with the cell degradation degree changes, the discharge rate of intelligent mobile phone battery can change (when for example battery has just started and use half a year after), need to be in the different operational phases of intelligent mobile phone battery, monitoring and discharge rate of battery parameter corresponding to computing application program.
C. calculate battery sustainable service time, be divided into two kinds of situations:
CA. according to the application program P that is moving in the current system
iCalculate battery sustainable service time.Method is:
CA1. at any time, obtain the sign of the current application program of carrying out, be designated as P
i
CA2. obtain described P
iCorresponding battery discharge parameter k
iThe battery electric quantity C current with mobile phone;
CA3. obtain the electric weight C that sign electric weight default in the operating system is finished
0, default value is 2;
CA4. be T=(C-C the sustainable service time of predicting battery
0)/(k
i).Time represents in " hour: minute " mode;
CB. calculate sustainable service time of battery corresponding to application-specific according to the current residual electric weight.Method is:
CB1. obtain current battery electric quantity C;
CB2. obtain the application list of having set up the discharge rate of battery parameter in the native system, described the application list can be configured by the user, selects the interested application-specific of user;
CB3. obtain described application program identification, be designated as P
j, and corresponding discharge rate of battery parameter k
j, calculate described
PThe sustainable execution time of j is: T=(C-C
0)/(k
j).
D. upgrade designation data and demonstration.Following several processing mode is arranged:
Regular update shows remaining battery service time, and " regularly " default time is 1 minute, can be configured to other times by the user.
When battery electric quantity changed, update displayed remaining battery service time, this mode can be by user selection.
When the user activates new application program or operation, the lasting execution time of upgrading described application program;
Check under the current battery electric quantity when user selection, during the lasting execution time of the application-specific that it is concerned about, upgrade the described time.
The present invention comprises a kind of software systems of operation system of smart phone indicating service time of battery simultaneously, and this system can calculate and displaying at smart mobile phone:
1) in the situation that current application program of mobile phone moves always, the residue service time of current battery;
2) for the application program of mobile phone of user's appointment, the residue service time of current battery;
Wherein the display format of remaining battery service time is hour/minute.
The implementation method of this system adopts method above-mentioned, and simultaneously, the cellphone subscriber can arrange sampling threshold, persond eixis mode, default battery by this system and be finished the time interval that charge value, regular update show, the application-specific of care; Adopt system default value in the situation that the user does not arrange.
Advantage of the present invention is can the perception user to use the current application program situation of mobile phone, provide the remaining battery that meets user psychology demand indication information service time to the user, thereby help the user to make corresponding selection according to the expectation of oneself, so that the more hommization of battery electric quantity deixis of smart mobile phone has good market outlook and using value.
Description of drawings
Fig. 1: intelligent mobile phone battery residue indicating means process flow diagram service time;
Fig. 2: smart mobile phone discharge curve and the diagram of remaining battery forecast model service time;
Fig. 3: the discharge curve of HTC-G1 smart mobile phone VideoPlayer and discharge rate curve map;
Fig. 4: the discharge curve of HTC-G1 smart mobile phone MusicPlayer and discharge rate curve map;
Fig. 5: intelligent mobile phone battery residue system chart service time.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described to be enclosed within battery of mobile phone indicator service time embodiment on the HTC-G1 smart mobile phone by one.
Realize an application system as shown in Figure 5, each module declaration is as follows:
1) user configuration module is used for allowing the user that sampling threshold, persond eixis mode, default battery are set and is finished the time interval that charge value, regular update show, the information such as application-specific of care.Wherein the application-specific information of user's care is the information that must input, and in the not specified situation of user, system only shows the residue service time of current application program; All the other configuration informations are alternate information, and in situation about not inputting, system adopts default information.
2) monitoring modular is used for from process identification (PID), battery electric quantity, the timestamp information of the current operation of computer system monitoring;
3) MBM be used for to be utilized the time point that monitoring obtains-battery electric quantity data pair, calculates discharge rate of battery.The method that realizes is shown in method B2;
4) memory module is used for the information such as discharge rate that user's various settings, application program identification that monitoring modular obtains and MBM calculate are saved in the file;
5) prediction module be used for to be calculated remaining battery service time corresponding to each application program.The method such as the method CA that realize are shown in the CB;
6) sampling module is used for reading current process identification (PID) and battery electric quantity information;
7) display module is used for showing battery in the execution current application program, perhaps the sustainable service time under the application instance of other users' care.The method that realizes is shown in method D.
Relation between the module is as follows:
1) user configuration module is issued monitoring modular with information such as sampling thresholds, and the information such as display mode are sent to display module;
2) monitoring modular sends to memory module with Monitoring Data;
3) MBM obtains Monitoring Data from memory module, will calculate gained discharge rate information and send to memory module;
4) adopt module to give prediction module with sampling data transmitting;
5) prediction module obtains discharge rate information from memory module, obtains sampled data from sampling module; To calculate acquired results and send to display module;
6) display module according to user's configuration, is presented at the service time of battery that obtains on the screen.
Method flow diagram as shown in Figure 1.The inventive method comprises: the 1) modelling phase: a) on the monitoring mobile phone various application-specific the term of execution, and the time dependent numerical information of battery electric quantity; B) calculate discharge rate of battery parameter corresponding to various application-specific; 2) forecast period: c) at mobile phone between the operating period, the sometime point in the application-specific implementation, prediction continues under implementation status in this application program, the residue service time of battery; D) predict in existing battery electric quantity situation the sustainable execution time of other application programs of user's appointment; E) upgrade designation data and demonstration.Concrete steps are as follows:
1. various application programs are carried out or operating period on the monitoring mobile phone, the time dependent numerical information of battery electric quantity.The step of concrete monitoring is described below:
A) obtain the StandBy(standby), the MusicPlayer(music player), the VideoPlayer(video player) the Readbook(reading machine) etc. program process identification number or process name, form " the application list ";
B) with VideoPlayer as the current application program of moving, its sign is designated as P
i
C) at P
iAfter stable, since a time point sampling.The operating system time of first sampled point is 23:40:55, and battery electric quantity numerical value is 86.The data that obtain are to (t
0, c
0) be (0,86).
D) whenever the moment that battery electric quantity changes, once sample, sample altogether 10 times.The data that obtain see Table 1 to sequence:
Table 1 HTC-G1 smart mobile phone operation VideoPlayer battery electric quantity sampled data
2. calculate in step 1 in the described sampling time described P
iCorresponding discharge rate of battery parameter k
iConcrete steps are as follows:
A) utilize the described time point-battery electric quantity of table 1 to sequence, battery discharge curve corresponding to Structural application program in two-dimensional coordinate system.As shown in Figure 3.
B) utilize described time point-battery electric quantity to sequence, carry out linear fit, calculate first order curve slope absolute value k
i=0.55.Black line among Fig. 3 is the discharge rate curve.
According to step 1 and step 2, other application programs are monitored and calculated, as space is limited, this sentences MusicPlayer is that example describes, and omits Monitoring Data and the discharge rate of battery parameter value of other application program.MusicPlayer is monitored and calculates, obtain corresponding battery discharge curve and discharge rate curve, as shown in Figure 4.Discharge rate rate of curve absolute value k wherein
j=0.61.
3. predict any time in VideoPlayer continuation playing process, the sustainable service time of battery.The concrete steps of prediction are as follows:
A) hypothesis VideoPlayer is to begin in 86 o'clock to play from electric weight, and remembers that time beginning is 0.When VideoPlayer continues to be played to the 20th minute, the sign of the current application program of carrying out is designated as P
i
B) obtain described P
iCorresponding battery discharge parameter k
i=0.55 and the current battery electric quantity C=75 of mobile phone;
C) obtain the electric weight C that sign electric weight default in the operating system exhausts
0=2;
D) prediction remaining battery service time is T=(C-C
0)/(k
i)=133 minute are expressed as " 2 hours 13 minutes ".
4. predict in existing battery electric quantity situation the sustainable execution time of application-specific.The concrete steps of prediction are as follows:
A) obtain current battery electric quantity C=75;
B) obtain the application list of having set up the discharge rate of battery parameter in the native system;
C) each list item of traversal of lists, carry out following steps:
I obtains the sign of MusicPlayer application program in the described list item, is designated as P
jAnd corresponding discharge rate of battery absolute value k
j=0.61;
Ii calculates described P
jThe sustainable execution time be: T=(C-C
0)/(k
j)=(75-2)/0.61=119 minute, be expressed as " 1 hour 59 minutes "
5. renewal designation data, and show.Concrete steps are as follows:
A) whenever battery electric quantity reduces by 1 grade, update displayed remaining power service time.
B) when user's activated at any time VideoPlayer application program, according to above Forecasting Methodology, upgrade the VideoPlayer application program and continue the execution time.
C) check under the current battery electric quantity when user selection, during lasting execution time of each application program (comprising MusicPlayer) that it is concerned about, upgrade the described time.Show below the information shown in the table:
In the present embodiment, utilize this method VideoPlayer operation 20 minutes, battery electric quantity is 75 o'clock, and it is 133 minutes that the prediction mobile phone remains service time, and be 128 minutes the lasting service time of actual measurement, and predicated error is 3.7%.If be 75 o'clock at battery electric quantity, start MusicPlayer, predict that the sustainable execution time is 120 minutes, the actual execution 119 minutes, predicated error is 0.6%.As seen this method can provide effective indication for the user, is convenient to the user according to the operation of expectation adjusting oneself, improves user's experience effect.
It should be noted that at last the purpose of publicizing and implementing example is to help further to understand the present invention, but it will be appreciated by those skilled in the art that: without departing from the spirit and scope of the invention and the appended claims, various substitutions and modifications all are possible.Therefore, the present invention should not be limited to the disclosed content of embodiment, and the scope of protection of present invention is as the criterion with the scope that claims define.
Claims (4)
1. the method for an operation system of smart phone indicating service time of battery is characterized in that, may further comprise the steps:
A. to various application programs that can be monitored, set up a time point-battery electric quantity data to sequence by the sampling of a period of time;
B. the sequence that obtains in the steps A is calculated, obtained discharge rate and the preservation of each application program;
C. calculate battery sustainable service time, be divided into two kinds of situations:
CA. according to the sustainable service time of application computes battery of moving in the current system;
CB. calculate sustainable service time of battery corresponding to application-specific according to the current residual electric weight;
D. upgrade designation data and demonstration;
Wherein, the implementation method of steps A is:
A1. obtain process identification number or the process name of various application programs that can be monitored, form the application list;
A2. obtain current program process identification number or the process name that is moving;
A3. after the stable execution of described process, since a time point sampling, method is: the system call or the Runtime Library function that utilize operating system to provide read battery electric quantity, and the operating system time at that time, as first time point-battery electric quantity data pair, be saved in the sample sequence;
A4. whenever the moment that the intelligent mobile phone battery electric weight changes, once sample, the time point of obtaining-battery electric quantity data pair as new time point-battery electric quantity data pair, join in the sample sequence;
A5. when reaching the sampling number threshold value, sampling number stops sampling;
The implementation method of step B is:
B1. utilize described time point-battery electric quantity data to sequence, battery discharge curve corresponding to Structural application program in two-dimensional coordinate system;
B2. utilize described time point-battery electric quantity data that sequence is carried out linear fit and obtain the discharge rate curve, the absolute value of discharge rate rate of curve is discharge rate;
B3. application program and corresponding discharge rate are saved in internal memory or the file;
The implementation method of step CA is:
CA1. obtain the sign of the current application program of carrying out;
CA2. obtain discharge rate of battery parameter corresponding to described application program and the current battery electric quantity of mobile phone;
CA3. obtain sign default in the operating system and be finished electric weight;
CA4. be the sustainable service time of battery: the discharge rate of (current electric quantity-sign is finished electric weight)/this application program.
2. the method for claim 1 is characterized in that, the implementation method of step CB is:
CB1. obtain current battery electric quantity;
CB2. obtain the application list of having set up discharge rate of battery in the native system;
CB3. the discharge rate of sustainable execution time of computing application program=(current electric quantity-sign is finished electric weight)/this application program.
3. the method for claim 1 is characterized in that, step D has following several processing mode:
Regular update shows battery sustainable service time;
When battery electric quantity changes, update displayed battery sustainable service time;
When the user activates new application program or operation, upgrade the sustainable execution time of described application program;
Check under the current battery electric quantity that when user selection its application-specific of being concerned about is upgraded the described time during the sustainable execution time.
4. the software systems of an operation system of smart phone indicating service time of battery is characterized in that, this system adopts following several module to realize:
1) user configuration module is used for allowing the user that sampling threshold, persond eixis mode, default sign are set and is finished the time interval that electric weight, regular update show, the application-specific of care; Wherein the application-specific information of user's care is the information that must input, and in the not specified situation of user, system only shows the sustainable execution time of current application program; All the other configuration informations are alternate information, and in situation about not inputting, system adopts default information;
2) monitoring modular is used for from process identification (PID), battery electric quantity, the temporal information of the current operation of computer system monitoring;
3) MBM be used for to be utilized the time point that monitoring obtains-battery electric quantity data pair, calculates discharge rate of battery, and implementation method is shown in the steps A in the claim 1 and step B;
4) memory module is used for the discharge rate that user's various settings, application program identification that monitoring modular obtains and MBM calculate is saved in the file;
5) prediction module be used for to be calculated sustainable service time of battery corresponding to each application program, and implementation method is shown in the step C in the claim 1;
6) sampling module is used for reading current process identification (PID) and battery electric quantity information;
7) display module is used for showing battery in the execution current application program, and perhaps the sustainable service time of battery under the application instance of other users' care, implementation method is shown in the step D in the claim 1;
Relation between the module is as follows:
1) user configuration module receives the configuration information of user's input, and sampling threshold is issued monitoring modular, and display mode is sent to display module;
2) monitoring modular sends to memory module with Monitoring Data;
3) MBM obtains Monitoring Data from memory module, will calculate gained discharge rate information and send to memory module;
4) adopt module to give prediction module with sampling data transmitting;
5) prediction module obtains discharge rate information from memory module, obtains sampled data from sampling module; To calculate acquired results and send to display module;
6) display module according to user's configuration, is presented at the service time of battery that obtains on the screen.
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| CN101853166A (en) | 2010-10-06 |
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