CN106651314A - School attending prediction method and device - Google Patents
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Abstract
The embodiment of the invention provides a school attending prediction method and device, and belongs to the field of education teaching. The method comprises the following steps: acquiring student information; acquiring a first probability based on a consumption day number, a preset consumption day number and a first preset weight; acquiring a second probability based on an attendance sign-in day number, a preset sign-in day number and a second preset weight; and acquiring the school attending probability based on the first probability and the second probability; acquiring a school leaving probability based on the school attending probability; and predicting the student attending condition corresponding to the student information based on the school leaving probability. By use of the prediction method provided by the embodiment of the invention, the first probability and the second probability are acquired, thereby acquiring the school attending probability; the school leaving probability is acquired through the school attending probability, and then the student attending condition can be predicted through the school leaving probability. An instructor or a school leader can clearly know whether each student is in attendance or evaluate the comprehensive performance of the student through the school attending condition by predicting the student attending condition.
Description
Technical field
The present invention relates to field of Education and teaching, in particular to one kind in school Forecasting Methodology and device.
Background technology
The subject matter that current school education informationization construction is present is：Application system and technical scheme disunity.Due to
The reason for history, as the successive foundation of the various information-based application systems of school, these subsystems and information resource database are each adopted
With different Database Systems and applicating developing technology；System administration disperses, the user management and licensing scheme of each subsystem
Disunity；Information dispersion, the data of each application system are inconsistent, lack even without data sharing relation and switching channel,
Formed " information island "；So as to the comprehensive analysis and utilization that also cannot just carry out data, education skill to improving the quality of teaching and
Effective support of school control's efficiency is inadequate.
The content of the invention
The present invention provides one kind in school Forecasting Methodology and device, it is intended to monitors student in school situation, is existed by monitoring student
School situation can clearly understand each student in school security situation and study situation.
One kind that the present invention is provided in school Forecasting Methodology, including：Student information is obtained, the student information is signed including student
To information and consumption information, the consumption information includes consumption number of days, and the consumption number of days is used to represent the student in school
The number of days of Eatery Consumption, the student for registering information for representing corresponding to the student information attends class number of days of registering；It is based on
The consumption number of days and default consumption number of days and the first default probability of Weight Acquisition first；Based on it is described attend class register number of days with
Default number of days and the second default probability of Weight Acquisition second of registering；Based on first probability and second probability, obtain
In school probability；Probability of leaving school is obtained based on described in school probability；Left school corresponding to student information described in probabilistic forecasting based on described
Student in school situation.
One kind that the present invention is provided in school prediction meanss, including：Data capture unit, it is described for obtaining student information
Student information is registered information and consumption information including student, and the consumption information includes consumption number of days, and the consumption number of days is used for
The number of days that the student consumes in school lunch service is represented, it is described to register information for representing the student corresponding to the student information
Attend class number of days of registering；First data processing unit, for default with default consumption number of days and first based on the consumption number of days
The probability of Weight Acquisition first；Second data processing unit, for based on it is described attend class register number of days with it is default register number of days and
The second default probability of Weight Acquisition second；3rd data processing unit, for being based on first probability and second probability,
Obtain in school probability；4th data processing unit, for obtaining probability of leaving school in school probability based on described；Data prediction unit,
For being based on the student left school corresponding to student information described in probabilistic forecasting in school situation.
One kind that the invention described above is provided is in school Forecasting Methodology and device, and the method is general with second by obtaining the first probability
Rate, so as to obtain in school probability, by obtaining probability of leaving school in school probability, and then by the probabilistic forecasting student that leaves school in school
Situation.By predicting that student, in school situation, can enable counsellor or school leaders clearly to know each student
Whether in school or by evaluating to the total performance of student in school situation.
Description of the drawings
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, thus be not construed as it is right
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can be with according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the structured flowchart of a kind of electronic equipment provided in an embodiment of the present invention；
A kind of flow chart in school Forecasting Methodology that Fig. 2 is provided for first embodiment of the invention；
A kind of flow chart in school Forecasting Methodology that Fig. 3 is provided for second embodiment of the invention；
A kind of structured flowchart in school prediction meanss that Fig. 4 is provided for third embodiment of the invention；
A kind of structured flowchart in school prediction meanss that Fig. 5 is provided for fourth embodiment of the invention.
Specific embodiment
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention, rather than the embodiment of whole.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.Therefore,
Hereinafter the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit the model of claimed invention
Enclose, but be merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
Have and make the every other embodiment obtained under the premise of creative work, belong to the scope of protection of the invention.
As shown in figure 1, for the structured flowchart of a kind of electronic equipment provided in an embodiment of the present invention 300.As shown in figure 1, institute
State electronic equipment 300 and be included in school prediction meanss, memory 301, storage control 302, processor 303, the and of Peripheral Interface 304
Input-output unit 305.
The memory 301, storage control 302, processor 303, Peripheral Interface 304, each yuan of input-output unit 305
Part is directly or indirectly electrically connected with each other, to realize the transmission or interaction of data.For example, these elements each other may be used
Realize being electrically connected with by one or more communication bus or holding wire.It is described can be with soft including at least one in school prediction meanss
The form of part or firmware (firmware) is stored in the memory 301 or is solidificated in the operation system of the electronic equipment 300
Software function module in system (operating system, OS).The processor 303 is used to perform storage in memory 301
Executable module, such as the described software function module included in school prediction meanss or computer program.
Wherein, memory 301 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable Read-
Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory,
EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory,
EEPROM) etc..Wherein, memory 301 is used for storage program, and the processor 303 is performed described after execute instruction is received
Program, the method performed by electronic equipment 300 that the stream process that aforementioned embodiment of the present invention any embodiment is disclosed is defined can be with
In being applied to processor 303, or realized by processor 303.
A kind of possibly IC chip of processor 303, the disposal ability with signal.Above-mentioned processor 303 can
Being general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), special IC (ASIC),
Ready-made programmable gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hard
Part component.Can realize or perform disclosed each method in the embodiment of the present invention, step and logic diagram.General processor
Can be microprocessor or the processor can also be any conventional processor etc..
The Peripheral Interface 304 is by various input/output devices coupled to processor 303 and memory 301.At some
In embodiment, Peripheral Interface 304, processor 303 and storage control 302 can be realized in one single chip.Other one
In a little examples, they can be realized respectively by independent chip.
Input-output unit 305 is used to be supplied to user input data to realize interacting for user and the electronic equipment 300.
The input-output unit 305 may be, but not limited to, mouse and keyboard etc..
Fig. 2 is referred to, is a kind of flow chart in school Forecasting Methodology that first embodiment of the invention is provided.Below will be to figure
Idiographic flow shown in 2 is described in detail.
Step S401, obtains student information.
Wherein, the student information is registered information and consumption information including student, and the consumption information includes consumption number of days,
The consumption number of days is used to represent the number of days that the student consumes in school lunch service, described to register information for representing the student
Student corresponding to information attends class number of days of registering.
A kind of embodiment is acted on, register information and consumption information in the student information stored in database is obtained, from
And obtain register information and the consumption information of each student.
Step S402, based on the consumption number of days and default consumption number of days and the first default probability of Weight Acquisition first.
Wherein, the consumption number of days refers to the number of days that the normal learning time in student one week consumed, i.e., student is in star
Phase one is to the consumption number of days between Friday.The preset number of days is 5 days.Described first default weight is referred in student one week
The weight of total event shared by probability is consumed in normal learning time in school, now total event refers to college student's consumption event and student
Register event.Described first default weight refers to the weighted value of total event shared by consumption event.First probability refers to consumption
Number of days accounts for the probability of total event.
Used as a kind of embodiment, first probability meets：X represents that student arrives on Monday
Consumption number of days between Friday, 5 represent preset number of days, and a% represents the first default weight.For example, student Zhang arrives on Monday
In school, consumption number of days is 3 days in the time on Friday, and it is 70% that consumption event accounts for the first default weight of total event, and first is general
Rate is：P (x)=3/5*70%=42%.
Step S403, based on it is described attend class register number of days with it is default register number of days and the second default Weight Acquisition second it is general
Rate.
Wherein, preset and register number of days and register number of days for 5 days, i.e. MONDAY to FRIDAY student.The number of days of registering of attending class
Refer to the number of days of registering that student attends class in MONDAY to FRIDAY student.Described second default weight is referred in student one week just
The weight of total event shared by the number of days registered of often attending class in school in learning time, now total event refer to college student's consumption event and
Register event, i.e. student of life registers the weight of total event shared by event.
Used as a kind of embodiment, second probability meetsY represents that student arrives on Monday
Number of days of registering of attending class between Friday, 5 represent default number of days of registering, and b% represents the second default weight.For example, student Lee
Number of days is registered for 3 days, the event of registering accounts for the second default weight of total event in the time of MONDAY to FRIDAY in school sessions
For 40%, the first default weight is 60%, and the second probability is：P (y)=3/5*40%=24%.
Step S404, based on first probability and second probability, obtains in school probability.
Wherein, the summation that the first probability and the second probability are equal in school probability, will the first probability and the second probability
The total probability obtained after addition is the second probability.It is described to refer to probability of the statistic in school in school probability.It is described in school
Probability meets：
Step S405, probability of leaving school is obtained based on described in school probability.
Wherein, the probability satisfaction of leaving school：KPI=1-P, wherein, P is represented in school probability.As a kind of embodiment,
The probability satisfaction of leaving school： The consumption number of days is more than or equal to 0, and less than or equal to 5, the day of registering of attending class
Number is more than or equal to 0, and less than or equal to 5.Event corresponding to the summation of the a%+b% is total event, i.e., total event
Weight is 100%.Wherein, the a% is 20% for 80%, b%.
As another embodiment, the probability satisfaction of leaving school：
(0≤x≤5,0≤y≤5,0≤z≤4, a%+b%+c%=100%),
Wherein, KPI represents probability of leaving school,First probability is represented,Represent described
Two probability, x represents that all-purpose card consumes number of days, and the all-purpose card consumption number of days is used to represent the normal learning time one in one week
The consumption number of days of cartoon, i.e. x represents that student's MONDAY to FRIDAY all-purpose card consumes number of days.Y represents the number of days of registering of attending class,
The number of days that the normal learning time that number of days referred in one week registered of registering of attending class, i.e. student's MONDAY to FRIDAY is attended class
The number of days registered.Z represents the number of days surfed the Net on student's Monday to Thursday.A% represents the normal learning time in student one week
The first percentage in described first default weight of total event shared by inherent school consumption probability, b% represents that student one week is interior
Normal learning time in attend class the second default weight of shared total event of registering in school, c% represents normal in student one week
The second percentage in described the first of total event default weight shared by the number of days surfed the Net in the bedroom in learning time.
Wherein, total event includes consumption event and the event of registering of attending class.The consumption information also includes online number of days,
The consumption event includes online event and all-purpose card consumption event.I.e.Represent corresponding to consumption event
Probability, i.e. the first probability.Wherein, it is 40% that a%+c%=80%, a% are 40%, c%.That is a% accounts for the first default weight
In the first percentage be 50%, i.e. a%=80%*50%=40%, in the same manner, c% accounts for the 200th in the first default weight
Divide than being 50%, i.e. c%=80%*50%=40%.Wherein, number of days is surfed the Net more than or equal to 0 and less than or equal to 4.
Wherein, surf the Net number of days obtain can pass through obtain network playing by students account landing time, by landing time from
And obtain network playing by students number of days.The online number of days refers to whether the same day surfs the Net, rather than the concrete time period surfed the Net.For example,
Zhang has online Monday, and Tuesday does not surf the Net, and Zhang's Monday is 1 with the number of days of online altogether on two days Tuesday.
For example, student Wang, MONDAY to FRIDAY is recorded as 1 day using what all-purpose card was consumed, and Monday is to Thursday
The number of days surfed the Net in the bedroom is 0, attends class and registers number of days for 1, and Wang is P=1/5*40%+0/4*40%+1/ in school probability
5*20%=12%, leave school probability KPI=1-P=1-12%=88%, and by the probability of leaving school the student Wang is represented
It is greatly possible to have left school.When the academic year total performance to Wang is evaluated, it is general that school may be referred to leaving school for Wang
Rate is evaluated.And when carrying out preferred student or poor student and evaluating, still may be referred to leave school probability to be commented
It is fixed.
In the present embodiment, can be when carrying out Ontario Scholar's competition or poor student and choosing, by by each student
Probability of leaving school as reference, selection probability of leaving school is 0 or the relatively low student of probability of leaving school is being chosen.And
Can also judge that student learns situation in school by probability of leaving school, and be evaluated for total performance, so as to improve school pair
The efficiency of management of student.
Step S406, based on the student left school corresponding to student information described in probabilistic forecasting in school situation.
Wherein, prediction is analyzed by the size of the numerical value of probability of leaving school, so as to obtain student in school situation.For example,
When probability of leaving school is 60%, according to the numerical prediction of the probability of leaving school, described predicting the outcome is left school corresponding to probability for this
Student may leave school.When probability of leaving school is 90%, it is predicted according to the numerical value of the probability of leaving school, it is described to predict the outcome as this
The student corresponding to probability that leaves school has left school.
Fig. 3 is referred to, is a kind of flow chart in school Forecasting Methodology that second embodiment of the invention is provided.Below will be to figure
Idiographic flow shown in 3 is described in detail.
Step S501, obtains student information.
Step S502, based on the consumption number of days and default consumption number of days and the first default probability of Weight Acquisition first.
Step S503, based on it is described attend class register number of days with it is default register number of days and the second default Weight Acquisition second it is general
Rate.
Step S504, based on first probability and second probability, obtains in school probability.
Step S505, probability of leaving school is obtained based on described in school probability.
Step S506, based on the student left school corresponding to student information described in probabilistic forecasting in school situation.
The specific embodiment of step S501, S502, S503, S504, S505 and step S506 may be referred to the first enforcement
The step of the correspondence in example, will not be described here.
Step S507, when the probability of leaving school is located in the range of pre-set interval, judges corresponding to the student information
Student left school, send the mobile terminal of the counsellor corresponding to early warning information to the student information.
Wherein, when the probability of leaving school is more than or equal to 96%, send corresponding to early warning information to the student information
Counsellor mobile terminal.Early warning information can be the hand that counsellor is sent to by the cell-phone number of the counsellor of advance binding
Early warning information is sent to being provided with the user terminal of the application program, the user on machine, or based on application program
Terminal can be mobile terminal, for example, mobile phone or palm PC etc..
As a kind of embodiment, when probability of leaving school is more than or equal to 96%, by leaving school corresponding to probability with this
The cell-phone number of counsellor to the counsellor sends early warning information, has pointed out the student left school described in the counsellor corresponding to probability
Leave school, please quickly contact the student, so that it is guaranteed that the safety of the student.
For example, the probability of leaving school of Wu is 99%, and the cell-phone number of the counsellor of Wu is 13333333333, by the hand
Machine number thinks that the counsellor of Wu sends early warning information so that the counsellor of Wu can grasp in time Wu in school situation and
Whereabouts, so that it is guaranteed that the safety of Wu.
Fig. 4 is referred to, is a kind of structured flowchart in school prediction meanss that third embodiment of the invention is provided.Described device
600 include：Data capture unit 610, the first data processing unit 620, the second data processing unit 630, the 3rd data processing
Unit 640, the 4th data processing unit 650 and data prediction unit 660.
Data capture unit 610, for obtaining student information, the student information is registered information and consumption letter including student
Breath, the consumption information includes consumption number of days, and the consumption number of days is used to represent the number of days that the student consumes in school lunch service,
The student that information register for representing corresponding to the student information attends class number of days of registering.
First data processing unit 620, for based on the consumption number of days and default consumption number of days and the first default power
Recapture and take the first probability.
Second data processing unit 630, for based on number of days and the default number of days and second pre- of registering of registering of attending class
If the probability of Weight Acquisition second.
3rd data processing unit 640, for based on first probability and second probability, obtaining in school probability.
4th data processing unit 650, for obtaining probability of leaving school in school probability based on described.Wherein, it is described to leave school generally
Rate meets：
Wherein, KPI represents probability of leaving school,First probability is represented,Represent second probability, x
The consumption number of days is represented, the consumption number of days is used to represent the number of days that the normal learning time in one week is consumed that y to represent institute
State number of days of registering of attending class, the number of days that the normal learning time that number of days referred in one week registered of registering of attending class, a% represents
The described first default weight of total event shared by probability is consumed in normal learning time in raw one week in school, b% represents
Attend class the described second default weight of shared total event of registering in school in normal learning time in raw one week.
In the present embodiment, the consumption information also includes online number of days, based on information and the consumption letter of registering
Breath, the probability satisfaction of leaving school：
(0≤x≤5,0≤y≤5,0≤z≤4, a%+b%+c%=100%),
Wherein, KPI represents probability of leaving school,First probability is represented,Represent described
Two probability, x represents that all-purpose card consumes number of days, and the all-purpose card consumption number of days is used to represent the normal learning time one in one week
The consumption number of days of cartoon, y represents the number of days of registering of attending class, described to attend class the normal learning time that number of days referred in one week of registering
The number of days registered, z represents the number of days surfed the Net in the normal learning time in one week, and a% is represented in student one week just
The first percentage in often learning time in the described first default weight that school consumes total event shared by probability, b% is represented
Attend class the second default weight of shared total event of registering in school in normal learning time in student one week, c% represents student one
The second percentage in described the first of total event default weight shared by the number of days surfed the Net in the bedroom in normal learning time in week
Than.
Data prediction unit 660, for being based on the student left school corresponding to student information described in probabilistic forecasting in school
Situation.
Fig. 5 is referred to, is a kind of structured flowchart in school prediction meanss that fourth embodiment of the invention is provided.Described device
700 include：Data capture unit 710, the first data processing unit 720, the second data processing unit 730, the 3rd data processing
Unit 740, the 4th data processing unit 750, data prediction unit 760 and data transmission unit 770.
Data capture unit 710, for obtaining student information, the student information is registered information and consumption letter including student
Breath, the consumption information includes consumption number of days, and the consumption number of days is used to represent the number of days that the student consumes in school lunch service,
The student that information register for representing corresponding to the student information attends class number of days of registering.
First data processing unit 720, for based on the consumption number of days and default consumption number of days and the first default power
Recapture and take the first probability.
Second data processing unit 730, for based on number of days and the default number of days and second pre- of registering of registering of attending class
If the probability of Weight Acquisition second.
3rd data processing unit 740, for based on first probability and second probability, obtaining in school probability.
4th data processing unit 750, for obtaining probability of leaving school in school probability based on described.Wherein, it is described to leave school generally
Rate meets：
Wherein, KPI represents probability of leaving school,First probability is represented,Represent second probability, x
The consumption number of days is represented, the consumption number of days is used to represent the number of days that the normal learning time in one week is consumed that y to represent institute
State number of days of registering of attending class, the number of days that the normal learning time that number of days referred in one week registered of registering of attending class, a% represents
The described first default weight of total event shared by probability is consumed in normal learning time in raw one week in school, b% represents
Attend class the described second default weight of shared total event of registering in school in normal learning time in raw one week.
In the present embodiment, the consumption information also includes online number of days, based on information and the consumption letter of registering
Breath, the probability satisfaction of leaving school：
(0≤x≤5,0≤y≤5,0≤z≤4, a%+b%+c%=100%),
Wherein, KPI represents probability of leaving school,First probability is represented,Represent described
Two probability, x represents that all-purpose card consumes number of days, and the all-purpose card consumption number of days is used to represent the normal learning time one in one week
The consumption number of days of cartoon, y represents the number of days of registering of attending class, described to attend class the normal learning time that number of days referred in one week of registering
The number of days registered, z represents the number of days surfed the Net in the normal learning time in one week, and a% is represented in student one week just
The first percentage in often learning time in the described first default weight that school consumes total event shared by probability, b% is represented
Attend class the second default weight of shared total event of registering in school in normal learning time in student one week, c% represents student one
The second percentage in described the first of total event default weight shared by the number of days surfed the Net in the bedroom in normal learning time in week
Than.
Data prediction unit 760, for being based on the student left school corresponding to student information described in probabilistic forecasting in school
Situation.
Data transmission unit 770, for when the probability of leaving school is located in the range of pre-set interval, judging the student
Student corresponding to information has left school, and sends the mobile terminal of the counsellor corresponding to early warning information to the student information.
Wherein, the data transmission unit 770 specifically for：When the probability of leaving school is in the range of pre-set interval
When, judge that the student corresponding to the student information has left school；When the probability of leaving school is more than or equal to 96%, send pre-
The mobile terminal of the counsellor corresponding to alarming information to the student information.
In sum, the present invention provides a kind of in school Forecasting Methodology and device, and the method is by obtaining the first probability and the
Two probability, so as to obtain in school probability, by obtaining probability of leaving school in school probability, and then by the probabilistic forecasting student that leaves school
In school situation.By predicting that student, in school situation, can enable counsellor or school leaders clearly to know each
Whether student is in school or by evaluating to the total performance of student in school situation.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it is also possible to pass through
Other modes are realized.Device embodiment described above is only schematic, for example, the flow chart and block diagram in accompanying drawing
Show the device of multiple embodiments of the invention, the architectural framework in the cards of method and computer program product,
Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of module, program segment or a code
Part a, part for the module, program segment or code is used to realize holding for the logic function of regulation comprising one or more
Row instruction.It should also be noted that at some as in the implementations replaced, the function of being marked in square frame can also be being different from
The order marked in accompanying drawing occurs.For example, two continuous square frames can essentially be performed substantially in parallel, and they are sometimes
Can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart
The combination of individual square frame and block diagram and/or the square frame in flow chart, can be with the special base of the function or action for performing regulation
Realize in the system of hardware, or can be realized with the combination of computer instruction with specialized hardware.
In addition, each functional module in each embodiment of the invention can integrate to form an independent portion
Divide, or modules individualism, it is also possible to which two or more modules are integrated to form an independent part.
If the function is realized and as independent production marketing or when using using in the form of software function module, can be with
In being stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the invention.
And aforesaid storage medium includes：USB flash disk, portable hard drive, read-only storage (ROM, Read-Only Memory), arbitrary access
Memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
It is noted that herein, such as first and second or the like relational terms are used merely to an entity or operation
Make a distinction with another entity or operation, and not necessarily require or imply these entities or exist between operating any this
The relation or order of reality.And, term " including ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that a series of process, method, article or equipment including key elements not only includes those key elements, but also wrapping
Other key elements being not expressly set out are included, or also includes intrinsic for this process, method, article or equipment wanting
Element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that wanting including described
Also there is other identical element in process, method, article or the equipment of element.
The preferred embodiments of the present invention are the foregoing is only, the present invention is not limited to, for the skill of this area
For art personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.It should be noted that：Similar label and letter exists
Similar terms is represented in figure below, therefore, once being defined in a certain Xiang Yi accompanying drawing, then it is not required in subsequent accompanying drawing
It is further defined and is explained.
Claims (10)
1. one kind is in school Forecasting Methodology, it is characterised in that include：
Student information is obtained, the student information is registered information and consumption information including student, and the consumption information includes consumption
Number of days, the consumption number of days is used to represent the number of days that the student consumes in school lunch service, described to register information for representing institute
State the student corresponding to student information to attend class number of days of registering；
Based on the consumption number of days and default consumption number of days and the first default probability of Weight Acquisition first；
Based on number of days and default number of days and the second default probability of Weight Acquisition second of registering of registering of attending class；
Based on first probability and second probability, obtain in school probability；
Probability of leaving school is obtained based on described in school probability；
Based on the student left school corresponding to student information described in probabilistic forecasting in school situation.
2. method according to claim 1, it is characterised in that
The probability satisfaction of leaving school：
Wherein, KPI represents probability of leaving school,First probability is represented,Second probability is represented, x is represented
The consumption number of days, the consumption number of days is used to represent the number of days that the normal learning time in one week is consumed that y to be represented on described
Class is registered number of days, and the number of days that the normal learning time that number of days referred in one week registered of registering of attending class, a% represents student one
The described first default weight of total event shared by probability is consumed in normal learning time in week in school, b% represents student one
Attend class the described second default weight of shared total event of registering in school in normal learning time in week.
3. method according to claim 2, it is characterised in that the consumption information also includes online number of days, based on described
Information of registering and the consumption information, the probability satisfaction of leaving school：
Wherein, KPI represents probability of leaving school,First probability is represented,Represent that described second is general
Rate, x represents that all-purpose card consumes number of days, and the all-purpose card consumption number of days is used to represent the normal learning time institute all-purpose card in a week
Consumption number of days, y represents the number of days of registering of attending class, and the normal learning time that number of days referred in one week of registering of attending class is signed
The number of days for arriving, z represents the number of days surfed the Net in the normal learning time in one week, and a% represents normal in student one week
The first percentage in the habit time in the described first default weight that school consumes total event shared by probability, b% represents student
Attend class the second default weight of shared total event of registering in school in normal learning time in one week, c% represents that student one week is interior
Normal learning time in total event shared by the number of days surfed the Net in the bedroom the described first default weight in the second percentage.
4. method according to claim 1, it is characterised in that described based on the student information described in probabilistic forecasting of leaving school
After corresponding student is the step of the situation of school, also include：
When it is described leave school probability in the range of the pre-set interval when, judge student corresponding to the student information from
School, sends the mobile terminal of the counsellor corresponding to early warning information to the student information.
5. method according to claim 4, it is characterised in that the scope of the probability positioned at pre-set interval that described ought leave school
When interior, judge that the student corresponding to the student information has left school, send corresponding to early warning information to the student information
The step of mobile terminal of counsellor, includes：
When it is described leave school probability in the range of the pre-set interval when, judge student corresponding to the student information from
School；
When the probability of leaving school is more than or equal to 96%, send counsellor's corresponding to early warning information to the student information
Mobile terminal.
6. one kind is in school prediction meanss, it is characterised in that include：
Data capture unit, for obtaining student information, the student information is registered information and consumption information including student, described
Consumption information includes consumption number of days, and the consumption number of days is used to represent the number of days that the student consumes in school lunch service, the label
The student for being used to representing corresponding to the student information to information attends class number of days of registering；
First data processing unit, for based on the consumption number of days and default consumption number of days and the first default Weight Acquisition the
One probability；
Second data processing unit, for registering number of days and the second default weight is obtained with default based on the number of days of registering of attending class
Take the second probability；
3rd data processing unit, for based on first probability and second probability, obtaining in school probability；
4th data processing unit, for obtaining probability of leaving school in school probability based on described；
Data prediction unit, for being based on the student left school corresponding to student information described in probabilistic forecasting in school situation.
7. device according to claim 6, it is characterised in that the probability satisfaction of leaving school：
Wherein, KPI represents probability of leaving school,First probability is represented,Second probability is represented, x is represented
The consumption number of days, the consumption number of days is used to represent the number of days that the normal learning time in one week is consumed that y to be represented on described
Class is registered number of days, and the number of days that the normal learning time that number of days referred in one week registered of registering of attending class, a% represents student one
The described first default weight of total event shared by probability is consumed in normal learning time in week in school, b% represents student one
Attend class the described second default weight of shared total event of registering in school in normal learning time in week.
8. device according to claim 7, it is characterised in that the consumption information also includes online number of days, based on described
Information of registering and the consumption information, the probability satisfaction of leaving school：
Wherein, KPI represents probability of leaving school,First probability is represented,Represent that described second is general
Rate, x represents that all-purpose card consumes number of days, and the all-purpose card consumption number of days is used to represent the normal learning time institute all-purpose card in a week
Consumption number of days, y represents the number of days of registering of attending class, and the normal learning time that number of days referred in one week of registering of attending class is signed
The number of days for arriving, z represents the number of days surfed the Net in the normal learning time in one week, and a% represents normal in student one week
The first percentage in the habit time in the described first default weight that school consumes total event shared by probability, b% represents student
Attend class the second default weight of shared total event of registering in school in normal learning time in one week, c% represents that student one week is interior
Normal learning time in total event shared by the number of days surfed the Net in the bedroom the described first default weight in the second percentage.
9. device according to claim 6, it is characterised in that after the data prediction unit, also include：
Data transmission unit, for when the probability of leaving school is located in the range of pre-set interval, judging the student information institute
Corresponding student has left school, and sends the mobile terminal of the counsellor corresponding to early warning information to the student information.
10. device according to claim 9, it is characterised in that the data transmission unit specifically for：
When it is described leave school probability in the range of the pre-set interval when, judge student corresponding to the student information from
School；
When the probability of leaving school is more than or equal to 96%, send counsellor's corresponding to early warning information to the student information
Mobile terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611225080.6A CN106651314A (en) | 2016-12-26 | 2016-12-26 | School attending prediction method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611225080.6A CN106651314A (en) | 2016-12-26 | 2016-12-26 | School attending prediction method and device |
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| Publication Number | Publication Date |
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| CN106651314A true CN106651314A (en) | 2017-05-10 |
Family
ID=58832163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611225080.6A Pending CN106651314A (en) | 2016-12-26 | 2016-12-26 | School attending prediction method and device |
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| CN (1) | CN106651314A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107464196A (en) * | 2017-08-04 | 2017-12-12 | 卓智网络科技有限公司 | Student group is left school Forecasting Methodology and device |
| CN107610261A (en) * | 2017-09-30 | 2018-01-19 | 四川民工加网络科技有限公司 | The system of management of withdrawing from the arena is entered in a kind of building site that can carry out |
| CN108304532A (en) * | 2018-01-29 | 2018-07-20 | 河南工学院 | Utilize the method, apparatus and readable storage medium storing program for executing of computer forecast student performance |
-
2016
- 2016-12-26 CN CN201611225080.6A patent/CN106651314A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107464196A (en) * | 2017-08-04 | 2017-12-12 | 卓智网络科技有限公司 | Student group is left school Forecasting Methodology and device |
| CN107610261A (en) * | 2017-09-30 | 2018-01-19 | 四川民工加网络科技有限公司 | The system of management of withdrawing from the arena is entered in a kind of building site that can carry out |
| CN107610261B (en) * | 2017-09-30 | 2020-06-23 | 四川亚东世纪科技有限公司 | System capable of managing entrance and exit of construction site |
| CN108304532A (en) * | 2018-01-29 | 2018-07-20 | 河南工学院 | Utilize the method, apparatus and readable storage medium storing program for executing of computer forecast student performance |
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