CN109345431A - A kind of abnormal behaviour analysis system - Google Patents
A kind of abnormal behaviour analysis system Download PDFInfo
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Abstract
The invention discloses a kind of abnormal behaviour analysis systems, comprising: the time that campus card induction and record student in each region entry and exit point, for carrying by student pass in and out each region is arranged in inductor；First data acquisition module, the time for passing in and out each region for acquiring student from inductor；First data processing module, time and the number that each student rests on each region is calculated in time for passing in and out each region according to student, and all students are formed in the action trail of all areas according to residence time and number, therefrom extract the action trail student different from group behavior track；First data outputting module, the student for extracting the first data processing module are exported as abnormal behaviour personnel.The present invention can automatically analyze the student for providing abnormal behaviour tendency by big data.
Description
Technical field
The present invention relates to computer digital animation more particularly to a kind of abnormal behaviour analysis systems.
Background technique
In campus, health problem, diet problem of student etc. are often subject to the attention in terms of parent, school, but feelings
Feel that psychological problems are but often ignored, happens occasionally so as to cause a series of events such as have a fist fight, jump out of the building generated by emotional problems.
If can find the problem in time, and student is convinced by patient analysis and helped, then such case can be avoided to occur significantly.But it because relates to
And the vast number problem of privacy concern and student, cause school side to be difficult to find the thymopsyche problem of student in time, thus
It misses and most preferably convinces by patient analysis the time.It can also find the technology of student's abnormal behaviour automatically without one kind in the prior art.
Summary of the invention
Goal of the invention: in view of the problems of the existing technology the present invention, provides a kind of abnormal behaviour analysis system, Ke Yitong
Excessive data analysis provides the student of abnormal behaviour tendency, can also protect student's privacy concern well, so that learning
School can give a hand and convince by patient analysis in time, protect the mental health of student, and all kinds of psycho-emotional class cases is avoided to occur.
Technical solution: abnormal behaviour analysis system of the present invention includes:
Campus card induction and record student's disengaging in each region entry and exit point, for carrying by student is arranged in inductor
The time in each region；
First data acquisition module, the time for passing in and out each region for acquiring student from inductor；
First data processing module, the time for passing in and out each region according to student are calculated each student and rest on often
The time in a region and number, and all students are formed in the action trail of all areas, therefrom according to residence time and number
Extract the action trail student different from group behavior track；
First data outputting module, student for extracting the first data processing module as abnormal behaviour personnel, into
Row output.
Further, which can also include:
Second data acquisition module, campus card consumption data, the data that fill a post and competition for acquiring all students
Participate in data；
Second data processing module, when being entered and left for obtaining consumption place from student's campus card consumption data and consuming
Between, and compared two-by-two, when the consumption place of discovery any two student is consistent, and consume the access time be located at it is same default
When in time range, then determine that once connection event occurs in everyone, and everyone relation value PR is added into a preset value；And from
Obtain whether current student fills a post in the data that fill a post, and can shadow plus post institute by its PR value when filling a post
Loud number value；And participated in data from competition and obtain whether current student participates in competition, when as by competition people, by it
PR value adds voter's numerical value, and when as competition people, its PR value is added a preset value；
Second data outputting module, for final accumulative PR value to be less than the student of preset threshold as abnormal behaviour people
Member, is exported.
Further, which can also include:
Third data acquisition module, for acquiring kinsfolk and the family's disease event data of all students；
Third data processing module, for the table of comparisons according to default kinsfolk alive situation and family's value Fam, to
Raw family value Fam carries out assignment, and according to the table of comparisons of default family's disease event and disease value Syn to the disease of student
Value Syn carries out assignment, finally calculates the sum of Fam and Syn；
Third data outputting module, for the student using the sum of Fam and Syn less than preset threshold as abnormal behaviour people
Member, is exported.
Further, which can also include:
4th data acquisition module, for acquiring attendance and the achievement data of all students；
4th data processing module, for according to student row's class situation to learning value CS give a preset initial value, and
When finding that student is absent from duty primary or operation does not complete, CS is subtracted into a preset value respectively, and achievement be higher than last time ranking or
When lower than last time ranking, respectively corresponds and CS is increased or decreased into a preset value；
4th data outputting module, the student for CS to be less than to preset threshold are exported as abnormal behaviour personnel.
Further, which can also include:
5th data acquisition module, for acquiring the extracurricular activity data of all students；
5th data processing module, for when student participates in an extracurricular activities, activity value OC to be added a preset value,
And in honor of every acquisition, the activity value OC of student is carried out according to the table of comparisons of default honor grade and OC value added
It increase accordingly；
5th data outputting module, for obtaining, OC in preset time period is consistently less than preset threshold and number reaches default
The student of number, as abnormal behaviour, personnel are exported.
Further, which can also include:
6th data acquisition module, for acquiring the multiple psychological test achievement data of all students；
6th data processing module, for the table of comparisons according to preset psychological test achievement and psychical value MH, to student
Psychical value MH carry out assignment, and multiple psychical value MH is averaged；
6th data outputting module, for student of the psychical value MH less than preset threshold that will be averaged as abnormal behaviour people
Member, is exported.
Further, which can also include:
Network management device for grabbing student by the data packet of the online of network in the school, and therefrom extracts request and visits
The server station dot address asked, and obtain student's online hours；
7th data acquisition module, for from network management device acquire student access server station dot address and
Online hours；
7th data processing module accesses specified social network for filtering out from the server station dot address that student accesses
The number of network, and spirit value MS is added into a preset value；
7th data outputting module, for using MS be greater than preset threshold and online hours be more than preset time student as
Abnormal behaviour personnel, are exported.
Further, which can also include:
8th data acquisition module, for acquiring the gender data of all students；
8th data processing module, for obtaining the student for determining generation correlating event in the second data processing module, and
Obtain both gender, the two gender be different sexes when, the emotional value EM of the two is added into a preset value respectively, when
In preset time period, when correlating event no longer occurs for the two, a preset value is individually subtracted in the emotional value EM of the two；
8th data outputting module, for EM is declined suddenly or suddenly raised student as abnormal behaviour personnel,
It is exported.
The utility model has the advantages that compared with prior art, the present invention its remarkable advantage is: the present invention can be divided automatically by big data
The student with abnormal behaviour tendency is precipitated, enables school to give a hand and convince by patient analysis in time, protects the mental health of student,
Accomplish to provide for a rainy day, check erroneous ideas at the outset, all kinds of psycho-emotional class cases is avoided to occur.
Detailed description of the invention
Fig. 1 is the system block diagram of the embodiment 1 of abnormal behaviour analysis system provided by the invention；
Fig. 2 is the system block diagram of the embodiment 2 of abnormal behaviour analysis system provided by the invention；
Fig. 3 is the system block diagram of the embodiment 3 of abnormal behaviour analysis system provided by the invention；
Fig. 4 is the system block diagram of the embodiment 4 of abnormal behaviour analysis system provided by the invention；
Fig. 5 is the system block diagram of the embodiment 5 of abnormal behaviour analysis system provided by the invention；
Fig. 6 is the system block diagram of the embodiment 6 of abnormal behaviour analysis system provided by the invention；
Fig. 7 is the system block diagram of the embodiment 7 of abnormal behaviour analysis system provided by the invention；
Fig. 8 is the system block diagram of the embodiment 8 of abnormal behaviour analysis system provided by the invention.
Specific embodiment
Embodiment 1
A kind of abnormal behaviour analysis system is present embodiments provided, as shown in Figure 1, comprising:
Campus card induction and record student's disengaging in each region entry and exit point, for carrying by student is arranged in inductor
The time in each region；
First data acquisition module, the time for passing in and out each region for acquiring student from inductor；
First data processing module, the time for passing in and out each region according to student are calculated each student and rest on often
The time in a region and number, and all students are formed in the action trail of all areas, therefrom according to residence time and number
Extract the action trail student different from group behavior track；
First data outputting module, student for extracting the first data processing module as abnormal behaviour personnel, into
Row output.
For example, different zones in campus are defined as (Area) A0, A1, A2., in each place access point setting sense in campus
Device is answered, is ST (StartTime) into the zone time, is ET (EndTime) from the region time departure, in the region
The ET-ST time is the stay time in the region, and the displaying of track can be carried out with thermodynamic chart, timely in the number that a region stops
It is about length, the display color above thermodynamic chart is deeper, single people or multiple can be shown, to obtain personal and collective behavior
It is paid close attention to peeling off and stopping behavior personnel as abnormal behaviour personnel track.
Embodiment 2
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in Fig. 2, unlike the first embodiment, the system
Further include:
Second data acquisition module, campus card consumption data, the data that fill a post and competition for acquiring all students
Participate in data；
Second data processing module, when being entered and left for obtaining consumption place from student's campus card consumption data and consuming
Between, and compared two-by-two, when the consumption place of discovery any two student is consistent, and consume the access time be located at it is same default
When in time range, then determine that everyone occurs once connection event, and by everyone relation value PR (Personal
Relations a preset value) is added；And obtain whether current student fills a post from the data that fill a post, and serving as
Its PR value is added into the number value that the post can influence when post；And participate in data whether obtain current student from competition
Competition is participated in, when as by competition people, its PR value is added into voter's numerical value, when as competition people, its PR value is added
One preset value；
Second data outputting module, for final accumulative PR value to be less than the student of preset threshold as abnormal behaviour people
Member, is exported.
For example, PR initial value is set as 1.Everyone consumption time is defined as EM (Consumption Time), place
School place is defined as P (Place), when the P of certain two personnel is equal, when EM is close, assert these personnel there may be association,
It is defined as E (Event), when event E more times generations, then assert that the two there will necessarily be relationship, PR adds 1.Everyone access time
It is defined as IOT (In and Out Time), place school place is defined as P (Place), when the P of certain two personnel is equal, IOT
When close, assert these personnel, there may be associations, are defined as E (Event), when event E more times generations, then assert that the two must
There are relationship, PR adds 1.School, which fills a post, is defined as D (Duty), and if the D personnel's number that can be influenced is n, then PR adds n.School
Correlation competition participation is defined as Sel (SeleEMion), and if it is competition people, voter turnout m, then PR adds m, if it is throwing
Ticket people, then PR directly adds 1.PR value is the interpersonal relationships numerical value of a student, if PR value is 1 or less than or equal to 3 for a long time,
Regard as abnormal behaviour personnel, it is necessary to it notices in terms of whether encountering obstacle or personality in terms of the interpersonal relationships there are problem,
It can carry out convincing measure by patient analysis in time.
Embodiment 3
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in figure 3, as different from Example 2, the system
Further include:
Third data acquisition module, for acquiring kinsfolk and the family's disease event data of all students；
Third data processing module, for according to pair for presetting kinsfolk's alive situation and family's value Fam (Family)
According to table, assignment, and the table of comparisons pair according to default family's disease event and disease value Syn are carried out to the family value Fam of student
The disease value Syn (Syntrophus) of student carries out assignment, finally calculates the sum of Fam and Syn；
Third data outputting module, for the student using the sum of Fam and Syn less than preset threshold as abnormal behaviour people
Member, is exported.
For example, defining home background is Fam (Family), mainly based on lineal relative, parents and blood brother sister are strong
Full score is 2, and it is 8 points or more that grand parents and grand parents, which perfect the full marks that score is 1, F,.Familial inheritance disease is defined as Syn
(Syntrophus), division 1 is carried out according to the severity of familial inheritance disease) chromosomal disorder, (first such as 21- patau syndrome
Its stupid type), S score is -10.(2) inherited metabolic disorder, such as albinism, S score are -9.(3) disease in the blood system,
Such as hemophilia, S score is -8.(4) Neuropsychic diseases, such as hereditary cerebellar ataxia disease, schizophrenia, S
Score is -7.(5) disease of immune system, such as systemic lupus erythematosus, S score are -6.(6) disease of skeletal system such as and refers to
(toe) deformity, spina bifida etc., S score are -5.(7) endocrine system disease, such as hereditary diabetes insipidus, S score are -4.(8) disappear
Change systemic disease, such as familial multiple polyposis, congenital esophageal atresia etc., S score is -3.(9) cardiovascular system disease
Disease, such as familial cardiomyopathy, S score are -2.(10) eye diseases, such as congenital cataract, high myopia, S score are -1.Family
The total score of front yard background is Fam+Syn, if total score is lower than 4 points, regards as abnormal behaviour personnel, then should pay close attention to servant
The daily state situation of member.
Embodiment 4
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in figure 4, as different from Example 3, the system
Further include:
4th data acquisition module, for acquiring attendance and the achievement data of all students；
4th data processing module, for row's class situation to give learning value CS (Class Situation) according to student
CS is subtracted a preset value respectively by a fixed preset initial value, and when finding that student's primary or operation absent from duty does not complete, and at
When achievement is higher than last time ranking or is lower than last time ranking, respectively corresponds and CS is increased or decreased into a preset value；
4th data outputting module, the student for CS to be less than to preset threshold are exported as abnormal behaviour personnel.
For example, definition is attended class, testing situations are CS, monthly fixed to divide the sum for being set to row's class, attend class and cut classes a CS points
Number -1, homework does not complete score -1 CS, and this month monthly examination achievement is compared with monthly examination last month achievement, and the score of the examination is arranged with campus
Subject to name, it is higher than ranking last month, CS score+5 is lower than ranking last month, and score -5 CS, the CS score of personnel's this month is less than fixation
The 60% of total score is determined as abnormal behaviour personnel, such personnel needs to pay close attention to and criticized.
Embodiment 5
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in figure 5, as different from Example 4, the system
Further include:
5th data acquisition module, for acquiring the extracurricular activity data of all students；
5th data processing module is used for when student participates in an extracurricular activities, by activity value OC (Outside
Class a preset value) is added, and in honor of every acquisition, according to the table of comparisons of default honor grade and OC value added
The activity value OC of student is increase accordingly；
5th data outputting module, for obtaining, OC in preset time period is consistently less than preset threshold and number reaches default
The student of number, as abnormal behaviour, personnel are exported.
For example, extracurricular activities of every participation, OC score+1, participate in duration and amount to often completely 1 day, OC score+1 obtains flourish
Reputation is divided with rank, class's honor each+0.5, school grade honor each+1, counties and cities' grade honor each+2, and provincial honor is each+
3, honor each+5 both at home and abroad.The per academic year OC total score of personnel is higher than 5 points, should give appropriate incentives, multiple OC total score is
Zero, then it is determined as abnormal behaviour personnel, needs to pay close attention to lower personnel and whether peel off phenomenon, should give guidance.
Embodiment 6
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in fig. 6, as different from Example 5, the system
Further include:
6th data acquisition module, for acquiring the multiple psychological test achievement data of all students；
6th data processing module, for according to preset psychological test achievement and psychical value MH (Mental Health)
The table of comparisons, assignment is carried out to the psychical value MH of student, and multiple psychical value MH is averaged；
6th data outputting module, for student of the psychical value MH less than preset threshold that will be averaged as abnormal behaviour people
Member, is exported.
Test result is provided for example, defining Mental health test and being mainly subject to shrink, using Pyatyi point-score, i.e.,
It does nothing .1 points, slight is 2 points, and moderate is 3 points, and laying particular stress on is 4 points, and serious is 5 points, if MH, which always divides equally, is lower than 2, indicates that psychology is strong
Health is generally good；If MH always divides equally more than 2, indicate that mental health has certain problems；If MH always divides equally 2
Between~2.9, indicate that generally there are slight problems for mental health；If MH always divides equally between 3~3.9, indicate that psychology is strong
Health there is a problem of moderate；If MH always divides equally between 4~4.9, it is heavier to indicate that mental health exists on the whole
Problem；If MH always divides equally 5, it is serious to indicate that mental health be there is a problem that.Multiple psychical value MH is averaged, will be put down
Equal psychical value MH is less than the student of preset threshold as abnormal behaviour personnel.
Embodiment 7
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in fig. 7, as different from Example 6, the system
Further include:
Network management device for grabbing student by the data packet of the online of network in the school, and therefrom extracts request and visits
The server station dot address asked, and obtain student's online hours；
7th data acquisition module, for from network management device acquire student access server station dot address and
Online hours；
7th data processing module accesses specified social network for filtering out from the server station dot address that student accesses
The number of network, and spirit value MS (Mental State) is added into a preset value；
7th data outputting module, for using MS be greater than preset threshold and online hours be more than preset time student as
Abnormal behaviour personnel, are exported.
For example, network pre-installs network management device in the school, the BTS management of mobile network, to online, personnel carry out real name
Tubulation reason, is timed record to the online place with personnel, and record duration, this is not necessarily to be related to personnel's privacy concern,
Microblogging, wechat server website be fixed, it is only necessary to know personnel when to microblogging, wechat server issue access ask
Ask can access request of every sending, MS+1, daily online hours are more than 4 hours and MS numerical value is more than that 500 personnel are determined as
Abnormal behaviour personnel need to pay close attention to, and are managed to correct internet behavior.
Embodiment 8
A kind of abnormal behaviour analytical equipment is present embodiments provided, as shown in figure 8, as different from Example 7, the system
Further include:
8th data acquisition module, for acquiring the gender data of all students；
8th data processing module, for obtaining the student for determining generation correlating event in the second data processing module, and
The emotional value EM (Emotional) of the two is added one when the two gender is different sexes by the gender for obtaining the two respectively
Preset value, when within a preset period of time, when correlating event no longer occurs for the two, by the emotional value EM of the two be individually subtracted one it is pre-
If value；
8th data outputting module, for EM is declined suddenly or suddenly raised student as abnormal behaviour personnel,
It is exported.
For example, defining EM initial value is 1.Everyone consumption time is defined as CT (Consumption Time), place
School place is defined as P (Place), when the P of certain two personnel is equal, when CT is close, assert these personnel there may be association,
It is defined as E (Event), when event E more times generations, then assert that the two there will necessarily be relationship.Wherein, the gender of personnel is defined as S
(Sex), when the two S is identical, it is F (Female) or is M (Male), both assert to be friends, both such as S is not
Together, then assert that the two is doubtful lovers' relationship, EM+1.The school place access time interval frequency and between the school place access time
Similarly every the object gender frequency, everyone access time is defined as IOT (In and Out Time), and place school place is fixed
Justice is P (Place), and when the P of certain two personnel is equal, when IOT is close, assert these personnel, there may be associations, are defined as E
(Event), when event E more times generations, then assert that the two there will necessarily be relationship.Wherein, the gender of personnel is defined as S (Sex), when
The two S is identical, is F (Female) or is M (Male), both assert to be friends, and both such as S is different, then assert
The two is doubtful lovers' relationship, EM+1.When personnel EM is more than or equal to 2, it is determined as abnormal behaviour personnel, needing to pay close attention to personnel is
No to be more than or equal to 2 for calf love or a period of time EM value, unexpected EM value reduces to initial value, is determined as abnormal behaviour personnel, needs
Whether emotion is abnormal so that influencing other campus lives by concern personnel.
The above disclosure is only the preferred embodiments of the present invention, and the scope of the invention cannot be limited thereby,
Therefore equivalent changes made in accordance with the claims of the present invention, are still within the scope of the present invention.
Claims (8)
1. a kind of abnormal behaviour analysis system, characterized by comprising:
Inductor is arranged campus card induction and record student in each region entry and exit point, for carrying by student and passes in and out each area
The time in domain；
First data acquisition module, the time for passing in and out each region for acquiring student from inductor；
First data processing module, the time for passing in and out each region according to student are calculated each student and rest on each area
The time in domain and number, and all students are formed in the action trail of all areas according to residence time and number, therefrom extract
The action trail student different from group behavior track out；
First data outputting module, the student for extracting the first data processing module carry out defeated as abnormal behaviour personnel
Out.
2. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
Second data acquisition module, campus card consumption data, the data that fill a post and competition for acquiring all students are participated in
Data；
Second data processing module, for obtaining consumption place and consumption access time from student's campus card consumption data, and
Compared two-by-two, when discovery any two student consumption place it is consistent, and consume the access time be located at same preset time
When in range, then determine that once connection event occurs in everyone, and everyone relation value PR is added into a preset value；And from serving as
Obtain whether current student fills a post in post data, and can influence its PR value plus the post when filling a post
Number value；And participated in data from competition and obtain whether current student participates in competition, when as by competition people, by its PR value
In addition its PR value is added a preset value when as competition people by voter's numerical value；
Second data outputting module, for final accumulative PR value to be less than to the student of preset threshold as abnormal behaviour personnel, into
Row output.
3. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
Third data acquisition module, for acquiring kinsfolk and the family's disease event data of all students；
Third data processing module, for the table of comparisons according to default kinsfolk alive situation and family's value Fam, to student's
Family value Fam carries out assignment, and according to the table of comparisons of default family's disease event and disease value Syn to the disease value of student
Syn carries out assignment, finally calculates the sum of Fam and Syn；
Third data outputting module, for the student using the sum of Fam and Syn less than preset threshold as abnormal behaviour personnel, into
Row output.
4. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
4th data acquisition module, for acquiring attendance and the achievement data of all students；
4th data processing module and is being sent out for according to student, row's class situation to give a preset initial value to learning value CS
When existing student's primary or operation absent from duty does not complete, CS is subtracted into a preset value respectively, and be higher than last time ranking in achievement or be lower than
When last time ranking, respectively corresponds and CS is increased or decreased into a preset value；
4th data outputting module, the student for CS to be less than to preset threshold are exported as abnormal behaviour personnel.
5. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
5th data acquisition module, for acquiring the extracurricular activity data of all students；
5th data processing module, is used for when student participates in an extracurricular activities, and activity value OC is added a preset value, and
It is to the table of comparisons of OC value added that the activity value OC progress of student is corresponding according to default honor grade in honor of every acquisition
Increase；
5th data outputting module, for obtaining, OC in preset time period is consistently less than preset threshold and number reaches preset times
Student, as abnormal behaviour, personnel are exported.
6. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
6th data acquisition module, for acquiring the multiple psychological test achievement data of all students；
6th data processing module, for the table of comparisons according to preset psychological test achievement and psychical value MH, to the heart of student
Reason value MH carries out assignment, and multiple psychical value MH is averaged；
6th data outputting module, for student of the psychical value MH less than preset threshold that will be averaged as abnormal behaviour personnel, into
Row output.
7. abnormal behaviour analysis system according to claim 1, it is characterised in that: the system further include:
Network management device is requested access to for grabbing student by the data packet of the online of network in the school, and therefrom extracting
Server station dot address, and obtain student's online hours；
7th data acquisition module, for the server station dot address of acquisition student access from network management device and online
Duration；
7th data processing module accesses specified social networks for filtering out from the server station dot address that student accesses
Number, and spirit value MS is added into a preset value；
7th data outputting module is more than the student of preset time as extremely for MS to be greater than preset threshold and online hours
Behavior personnel, are exported.
8. abnormal behaviour analysis system according to claim 2, it is characterised in that: the system further include:
8th data acquisition module, for acquiring the gender data of all students；
8th data processing module for obtaining the student for determining generation correlating event in the second data processing module, and obtains
The emotional value EM of the two is added a preset value when the two gender is different sexes by the gender of the two respectively, when default
In period, when correlating event no longer occurs for the two, a preset value is individually subtracted in the emotional value EM of the two；
8th data outputting module, for EM is declined suddenly or suddenly raised student as abnormal behaviour personnel, progress
Output.
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