CN109684514A - Students ' behavior positioning system and method based on track data - Google Patents
Students ' behavior positioning system and method based on track data Download PDFInfo
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Abstract
The present invention discloses a kind of students ' behavior positioning system and method based on track data, including the data collection system connected by transport network communication and track location system；The data of acquisition are transmitted to track location system by transmission network for acquiring students ' behavior data in real time by data collection system；Track location system is for being pre-processed, being stored, being modeled and being shown to received students ' behavior data；Track location system includes: data preprocessing module, for pre-processing to collected separate sources, different types of students ' behavior data；Data memory module carries out data storage and data classification for being based on NoSQL database according to students ' behavior data of the default storage rule to acquisition；Data modeling module, for establishing corresponding students ' behavior correlation model according to the unique ID number of each student according to data classification；Data display module, for students ' behavior motion profile positioning and tracking visualize.
Description
Technical field
The present invention relates to the track location system of data processing and inversion technical field more particularly to a kind of college student and
Localization method, specially students ' behavior positioning system and method based on track data.
Background technique
Under digital times background, campus administration also needs to stride forward to intelligent direction.Safety of student is campus administration
A most important ring, no matter school side, counsellor or parents of student, be intended to by capture student behavioural information come understand learn
It is raw whether in school, whether attend class on time, whether return bedroom etc. on time.The university student social groups specific, huge as one,
Track behavior has very strong particularity, regularity, and student in colleges and universities is from enrollment, student status, curricula-variable, achievement, dining room, activity
Etc. generate a large amount of data, it is valuable to obtain by collection, cleaning, extraction and the excavation to magnanimity student's track data
Information, provide decision-making foundation for work such as student-directed, campus administration, safe early warnings.
The Chinese patent of application number 2017101168499 discloses a kind of campus student behavioural analysis based on Wi-Fi hotspot
Method and system analyze behavior rail of the student within each period by the information and real time according to system acquisition
Mark passes through point of the behavior path data to student to control to the activity in school with the movable time is carried out
Analysis fully understands even in everyday situations in school, and the integrated management promoted to student is horizontal.But the shortcomings that patent is data
Source is more single, only relies on the terminal device of each Wi-Fi hotspot and student's carrying to record the real time position of student, and accordingly
The action trail of student is drawn, this method can omit the row for not carrying mobile terminal device or being not logged on Wi-Fi hotspot
For data, so as to cause the action trail curve distortion of drafting or imperfect.
The Chinese patent of application number 2016101423464 disclose it is a kind of based on WiFi positioning attendance management method and be
System, method and step include: in advance in region installation WiFi access device and Internet of Things attendance management device of turning out for work, when user into
Enter to turn out for work region when, be automatically signing in by intelligent mobile terminal or manually registered by Internet of Things attendance management device；When
User leaves when turning out for work region, automatic sign-out by intelligent mobile terminal or manually signed by Internet of Things attendance management device
It moves back；System includes turn out for work area equipment unit and computer, and area equipment unit of turning out for work includes WiFi access device and Internet of Things
Attendance management device.But the defect of the patent is to need to install particular device, and the range that can be investigated in specific region in advance
It is limited, it is unfavorable for carrying out the collection and processing of students ' behavior data in entire campus.
In the prior art, research students ' behavior track in campus positioned, since data acquisition channel is single, lacks base
Plinth data supporting, the students ' behavior track distortion obtained accordingly is larger, can not really embody the students ' behavior track in campus,
Accurate student track positioning can not be provided, secure reference frame can not be also provided for the orderly management in campus.
Summary of the invention
It is fixed that in response to the problems existing in the prior art, the purpose of the present invention is to provide a kind of students ' behaviors based on track data
Position system and method.The method achieve the comprehensive positioning and tracking to students ' behavior track, the geometric locus of foundation is complete
And the action trail of student is really had recorded, the management for the behavior of student campus provides better way.
To achieve the above object, the technical solution adopted by the present invention is that:
Students ' behavior positioning system based on track data, including the data collection system connected by transport network communication
And track location system；The data collection system will be acquired for acquiring students ' behavior data in real time, and by transmission network
Data be transmitted to the track location system；The track location system, it is pre- for being carried out to received students ' behavior data
Processing, storage, modeling and displaying；The track location system includes: data preprocessing module, for collected different next
Source, different types of students ' behavior data pre-process and transmitted with unified data format；Data memory module is used
Data storage and data classification are carried out in being based on NoSQL database according to students ' behavior data of the default storage rule to acquisition；
Data modeling module, for establishing corresponding students ' behavior according to the unique ID number of each student and being associated with mould according to data classification
Type carries out track following with the behavioral data to each student；Data display module, for determining students ' behavior motion profile
Position and tracking are visualized.
The existing a variety of data collection systems in present invention combination campus, for behavior motion profile of the student in campus,
The time that student passes in and out the places such as dormitory, teaching building, library, activity centre, playground, dining room, school gate is recorded, only according to student
One ID number records the behavior motion profile of Students ', and pass through data modeling using the time of record and position as label
Mode establishes corresponding students ' behavior correlation model, generates the geometric locus of students ' behavior data, clear by GIS map and WEB
The mode of device of looking at is shown students ' behavior track, convenient that the behavior of students is managed collectively and is monitored, for school
Garden student-directed provides a kind of new mode, both reduces job costs, it is easy to use and will be seen that student school study,
Life dynamic, and these data acquired can also be used to analyze students ' behavior, for the Behavior preference of student, carry out actively dry
In advance, promote student health development.
Preferably, the data collection system includes: campus RFID card system, video monitoring system, intelligent mobile
Terminal, Wireless LAN in Campus system, access control system, the management system of attendance checking system, each venue in campus；The campus RFID mono- blocks
Way system include campus RFID card and be mounted in campus for reading the radio frequency identification equipment of campus RFID card；The intelligence
Mobile terminal includes smart phone, tablet computer, unmanned plane, wearable device；The management system of each venue in campus includes
Library management system, Stadium management system and activity centre management system.The unmanned plane is used in campus public domain
It takes photo by plane and acquires the behavioral data of student, by face recognition technology, identify the personal information of student, and then obtain the student's
Behavioral data.
Preferably, the data of data collection system acquisition include: student's unique ID number, time of the act, RFID card number,
Wireless aps account, APP account, equipment SN, video monitoring equipment location information, intelligent mobile terminal location information, campus without
Line device location information, access control equipment location information, Time Attendance Device location information.
Specifically, the RFID card number, wireless aps account, APP account, equipment SN all have independent number, and
And corresponding student's unique ID number.Such setting facilitates storage, classification and the management for carrying out data, equally can also make student's row
It is more clear for the displaying of track.
Preferably, the pretreatment that the data preprocessing module carries out students ' behavior data includes: the endless integer of removal
According to；Deleting duplicated data, picture；Behavior of the statistic at different time sections, different location, after obtaining data, by it
Unified data format is converted to be saved.
In the present invention, the data preprocessing module receives the inhomogeneity transmitted from various distinct devices, different software
Type, the data of different-format, and it is handled, is transformed to unified data format, it is then transmit to data memory module.
Wherein, deficiency of data refers in data acquisition, since external factor interference causes the attribute value of certain data of acquisition can
It can lose or not know, when being pre-processed, to remove the data that this part attribute is not known or attribute is lost.Repeat number
According to referring in the data set of acquisition, the identical record of two or more pieces occur, there are the data of same student's ID number to deposit
Chu Zhong, or identical information redundancy, when carrying out data prediction, there are in the storage of the data of multiple student's ID numbers
Delete these data or picture for repeating record.
Preferably, the unified data format is XML (Extensible Markup Language, markup language) number
According to format.
In the present invention, for the students ' behavior data of data collection system acquisition, it can be converted data to by adapter
XML data format, and be marked by equipment SN, it is then transmit to data memory module, is based on NoSQL (Not Only
Structured Query Language, not only structured query language) (open source is distributed by database Cassandra
NoSQL Database Systems) data storage, classification and modeling are carried out, in order to realize storage, modeling, classification to acquisition data
With trajectory track etc., and then realize the overall monitor to students ' behavior data.
Preferably, the data storage in the data memory module further comprises: according to default storage rule by XML lattice
The students ' behavior data of formula are stored into NoSQL database Cassandra；Data classification further comprises: according to K mean cluster
Method classifies to the students ' behavior data of XML format.
In the present invention, XML data is stored into NoSQL database by default storage rule, to realize to super amount
The processing of data, and carry out data classification and modeling can make the data of storage have normalization, convenient for subsequent lookup and/or
Monitoring；Intelligent classification is carried out to students ' behavior data by K mean cluster method, to realize that the monitoring of students ' behavior data provides
Advantageous premise guarantee.The default storage rule includes the distinguishing mark stored using student's unique ID number as data block, will be every
The when and where position that the corresponding behavioral data of a student's ID number is occurred by behavior stores.
Further, carrying out classification according to students ' behavior data of the K mean cluster method to XML format includes: school's pipe
Reason personnel can cluster the range of numerical value K according to the wish flexible setting of oneself, can provide cluster coefficients K's initially set
Range (a, b), cluster process execute b-a traditional K mean cluster algorithm, in b-a clustering selection one most preferably
Cluster coefficients K as final cluster numbers.V be intra-cluster each data point to cluster centre Euclidean away from
From external distance is 1/k (k-1) times of distance between each cluster centre, and K is the cluster number in this cluster process.V value is smaller
Illustrate that cohesion degree is higher, the individual in same class has biggish correlation, and the individual difference in inhomogeneity is very big.When V value minimum
K value be optimal cluster numbers.The distance between initial center point respectively clustered is as far as possible greatly and around central point
Density is intensive as far as possible.
Preferably, the data modeling module further comprises: according to the unique ID number of each student, being stabbed with time of the act
It is label with position, establishes corresponding students ' behavior correlation model, generates track data curve corresponding with student's unique ID number.
In the present invention, after the completion of data modeling, processing can also be modified to the students ' behavior correlation model of foundation,
It include: that some student's unique ID number if occurring different location informations in synchronization, is needed according to the time point
Relationship between the position of students ' behavior occurs for front and back, and inferred position reasonability saves correct position；If the position at a certain moment
Loss of learning is set, then infers the correct position information that should occur according to the behavior event information before and after other time points；If
The location information that some behavior should occur is runed counter to actual location information, then is calculated according to front and back behavior event and location logic
The reasonability of position and behavior event establishes behavior event base.
Further, the students ' behavior positioning system provided by the invention based on track data further include: alarm model structure
Block is modeled, for presetting students ' behavior abnormality alarming model and student group event alarm model；Anomalous event monitoring module is used
According to students ' behavior abnormality alarming model and students ' behavior track judge whether occur student's abnormal behavior event；Social event
For judging whether according to student group event alarm model and students ' behavior track student's social event occurs for monitoring module.
Students ' behavior localization method based on track data, the described method comprises the following steps:
Step 1: in real time acquisition student behavioral data, acquire data approach include: campus RFID card system,
Campus Monitoring System, intelligent mobile terminal, campus network system, access control system, attendance checking system, each venue in campus management system
System；
Step 2: collected separate sources, different types of students ' behavior data are carried out pretreatment and with unification
Data format is transmitted, and the unified data format is XML data format；
It is counted Step 3: being based on NoSQL database to pretreated students ' behavior data according to default storage rule
According to storage and data classification；
Step 4: according to data classification, according to the unique ID number of each student, using time of the act stamp and position as label,
Corresponding students ' behavior correlation model is established, track data curve corresponding with unique ID number is generated, with the row to each student
Track following is carried out for data；
Step 5: being shown based on GIS map and web browser to students ' behavior motion profile.
Preferably, the data of step 1 acquisition include: student's unique ID number, time of the act, RFID card number, wireless aps account
Number, APP account, equipment SN, video monitoring equipment location information, intelligent mobile terminal location information, campus wireless device position
Confidence breath, access control equipment location information, Time Attendance Device location information.
Preferably, step 3 further comprises: according to default storage rule by the students ' behavior data of XML format store to
In NoSQL database Cassandra, and classify according to students ' behavior data of the K mean cluster method to XML format.
Compared with prior art, the beneficial effects of the present invention are: 1) present invention by the behavioral activity track to student into
Row comprehensive statistics, it is established that the route map of the students ' behavior track, monitor each student's every day in real time in the movement of school
Track, and it is recordable in the residence time of the positions such as each node such as library, laboratory, the behavior motion profile of each student
It can be shown by visual means, orderly management is carried out in school behavior to student convenient for school, controls student in time
Dynamic, improve campus administration work efficiency and implementation capacity；2) present invention is realized to the comprehensive fixed of students ' behavior track
The geometric locus of position and tracking, foundation is complete and really has recorded the action trail of student, is the management of student campus behavior
Provide better way；3) basis that the present invention can obtain students by the students ' behavior motion profile of record is believed
Breath, Behavior preference, the regional preference of activity, reads the information such as preference, daily work and rest at consumption information, is taken out based on these basic informations
As the student model of outgoing label, the behavior trend of students ', hobby, psychological characteristics, mutual-action behavior are student
It practises employment and personalized teacher's instruction is provided, provide the educational management of fining for school.
Detailed description of the invention
Fig. 1 is the schematic diagram of the students ' behavior positioning system of the invention based on track data；
Fig. 2 is the flow chart of the students ' behavior localization method of the invention based on track data.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, technical solution of the present invention is clearly and completely described, it is clear that
Described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the implementation in the present invention
Example, those of ordinary skill in the art's all other embodiment obtained under the conditions of not making creative work belong to
The scope of protection of the invention.
As shown in Figure 1, the present invention provides a kind of students ' behavior positioning system based on track data, including pass through transmission network
The data collection system and track location system of network communication connection.The data collection system, for acquiring students ' behavior in real time
Data, and the data of acquisition are transmitted to by the track location system by transmission network: the track location system, for pair
Received students ' behavior data are pre-processed, are stored, modeled and are shown.
Data collection system, for obtaining the system data of each data system in campus environment.The data system can be with
For campus RFID card card system, wireless WiFi system, wired network system, access control system, library management system, activity
Central management system, attendance checking system, school business management system, Campus Monitoring System etc., system that but not limited to this.Equally, the system
System data are then the temporal information extracted from each data system, location information, basic information and behavior act information, but not with
This is limitation.Specifically, it can be managed by campus RFID card system, access control system, library management system, activity centre
System, attendance checking system, Campus Monitoring System etc. obtain location information, and (e.g., the location information of video monitoring equipment, intelligent mobile are whole
The location information at end, the location information of campus wireless device, information of Time Attendance Device etc.), it is obtained and is learned by school business management system
Raw basic information (e.g., student's unique ID number) records by wireless WiFi system, wired network system etc. and obtains student's end
End equipment information (such as physical address, device model, RFID card number, wireless aps account, APP account, equipment SN), passes through nothing
Man-machine take photo by plane obtains behavioral data (e.g., the human face data, for identifying by face recognition technology of student in the public domain of campus
Student information out).Specifically, the RFID card number, wireless aps account, APP account, equipment SN all have independent volume
Number, and corresponding student's unique ID number.Such setting facilitates storage, classification and the management for carrying out data, equally can also make
The displaying of students ' behavior track is more clear.
The information that above-mentioned each data system is read includes: the record of swiping the card of student；The student that video monitoring captures draws
The time location information of face and appearance；Library passes in and out time record；In the public activity in the school such as dining room, campus supermarket or playground
Swipe the card record and the location information for the campus RFID card that the radio frequency identification equipment of region installation is recognized；Student uses campus network
WIFI logs in wireless aps, the time record of the internetwork roaming of the wireless aps position and each AP that are logged in；Student is mating using this system
When APP, pass through the location information of the GPS module acquisition of smart phone, tablet computer or wearable device；Unmanned plane acquisition
Student information.The data that the data collection system obtains are transferred to track location system by transmission network, carry out subsequent
Data prediction, storage, classification, modeling and displaying.The transmission network includes wired public network, local area network and 3G/4G/5G net
Network.
The track location system includes: data preprocessing module, data memory module, data modeling module and data exhibition
Show module.
Data preprocessing module, for being located in advance to collected separate sources, different types of students ' behavior data
It manages and is transmitted with unified data format.When system through the invention is acquired students ' behavior data, it can generate
A large amount of data volume, and the format of these data is inconsistent, cannot merge between the collected data of each acquisition equipment, nothing
Therefore the data management of method further progress and analysis carry out data prediction and to carry out the data of acquisition data cleansing, whole
It closes, convert and simplifies, a variety of data of acquisition is enabled to be used for subsequent analysis.Specifically, system data is cleaned, is whole
Closing includes removal deficiency of data, and deleting duplicated data, picture form complete behavioral data.Conversion to system data and
Simplification includes: that behavior of the statistic at different time sections, different location is converted into XML data after obtaining data
Format is saved.
In addition, in data prediction, it is also necessary to be associated analysis to the system data of acquisition, analyze the behavior of acquisition
It whether there is associated record between data account corresponding with behavior data.For example, the connection on acquisition campus wireless AP devices
Net record whether there is according to the account information that networking record judgement is connected into, if account information is not present, using physically
Location is associated, if there are associated records between the physical address and the account, the account is written in this record of networking
Data block in, if between the physical address and the account be not present associated record, by this networking record separately deposit；If
It can judge that the account information being connected into exists according to networking record, then this record of networking directly is written to the data block of the account
In, and physical address library is updated simultaneously, it safeguards the binding relationship between the account and physical address, determines corresponding of the account
Corresponding relationship between raw ID number and physical address.
Data memory module, for being based on NoSQL database according to students ' behavior data of the default storage rule to acquisition
Carry out data storage and data classification.Data storage in the data memory module further comprises: advising according to default storage
Then the students ' behavior data of XML format are stored into NoSQL database Cassandra；Data classification further comprises: according to
K mean cluster method classifies to the students ' behavior data of XML format.In the present invention, by presetting storage rule for XML number
According to storing into NoSQL database, to realize the processing to super amount data, and data classification and modeling is carried out, can make to store up
The data deposited have normalization, are convenient for subsequent lookup and/or monitoring；Students ' behavior data are carried out by K mean cluster method
Intelligent classification, to realize that the monitoring of students ' behavior data provides advantageous premise guarantee.The default storage rule includes to learn
Raw unique ID number is the distinguishing mark of data block storage, and the corresponding behavioral data of each student's ID number is pressed the time that behavior occurs
It is stored with place position.
Data modeling module is used for according to data classification, according to the unique ID number of each student, with time of the act stamp and position
It is set to label, establishes corresponding students ' behavior correlation model, track data curve corresponding with student's unique ID number is generated, with right
The behavioral data of each student carries out track following.In addition, can also be closed to the students ' behavior of foundation after the completion of data modeling
Gang mould type is modified processing, forms the complete trajectory model of students ' behavior, is modified processing to students ' behavior correlation model
It include: that some student's unique ID number if occurring different location informations in synchronization, is needed according to the time point
Relationship between the position of students ' behavior occurs for front and back, and inferred position reasonability saves correct position；If the position at a certain moment
Loss of learning is set, then infers the correct position information that should occur according to the behavior event information before and after other time points；If
The location information that some behavior should occur is runed counter to actual location information, then is calculated according to front and back behavior event and location logic
The reasonability of position and behavior event establishes behavior event base.Processing is modified to the students ' behavior correlation model of foundation
Benefit is, for each student ID, it is corresponding with the associated position of the temporal information can to describe the student ID according to temporal information
Information and behavioural information judge the corresponding students ' behavior track the student ID, realize true action trail positioning and tracking.
Data display module, for the positioning and tracking based on GIS map and web browser to students ' behavior motion profile
It is visualized.The present invention can be achieved based on student's unique ID number, based on period dimension and based on the row of address information
Specifically specific personal action trail path can be inquired by student's unique ID number for track inquiry, sequentially in time,
Show time, the place, content of the act of each tracing point of student.School administrator can control by visual page in time
Raw action trail information understands the behavior dynamic of student, facilitates the raising of the students ' behavior efficiency of management.
As another embodiment of the present invention, the students ' behavior positioning system provided by the invention based on track data
It further include alarm model construction module, for presetting students ' behavior abnormality alarming model and student group event alarm model；It is different
For judging whether according to students ' behavior abnormality alarming model and students ' behavior track students ' behavior occurs for ordinary affair part monitoring module
Anomalous event；Social event monitoring module, for being judged whether according to student group event alarm model and students ' behavior track
Student's social event occurs.It should be noted that in alarm model construction module, anomalous event monitoring module and social event prison
Under the combination for controlling module, user can establish track in customized monitoring population profile or default school with same
Period be dimension behavior and trajectory analysis model, judge student group behavior, such as: same or similar case behavior, it is same or
Analogous location (defining similar range value, default is less than or equal in 50 meters) behavior；Establish students ' behavior exception and social event
Behavioural characteristic library, by Matching Model, behavior and feature database comparison to generation generate early warning.The customized group behavior can
It monitors, according to student's build-in attribute label nationality, gender, culture level and source of students can check category filter depending on changing.In addition, also
Can carry out warning information push to students ' behavior anomalous event and student group event, including to student's abnormal behaviour event and
The behavior of student group event is pushed to administrative staff, can support public platform, short message, the modes such as mail.The present invention is by obtaining school
Data in each data system under garden ring border form students ' behavior track mould by data prediction, storage, classification and modeling
Type critical data, while being associated with by multi-dimensional data, logic judgment error correction, the big datas technology such as data depth excavation, record
Students ' behavior track in campus environment, and with the Perspective Analysis group track characteristic of group, describe group behavior rail in environment
Mark realizes the description to the real behavior in track and the early warning to abnormal behaviour.
As shown in Fig. 2, the present invention provides a kind of students ' behavior localization method based on track data, provided using the present invention
The students ' behavior positioning system based on track data, the described method comprises the following steps:
Step 1: in real time acquisition student behavioral data, acquire data approach include: campus RFID card system,
Campus Monitoring System, intelligent mobile terminal, campus network system, access control system, attendance checking system, each venue in campus management system
System.Specifically, by campus RFID card system, access control system, library management system, activity centre management system, examine
Diligent system, Campus Monitoring System etc. obtain location information (e.g., the position of the location information of video monitoring equipment, intelligent mobile terminal
Confidence breath, the location information of campus wireless device, the information of Time Attendance Device etc.), the base of student is obtained by school business management system
Plinth information (e.g., student's unique ID number) records by wireless WiFi system, wired network system etc. and obtains student terminal equipment
Information (such as physical address, device model, RFID card number, wireless aps account, APP account, equipment SN).The RFID card
Number, wireless aps account, APP account, equipment SN all have independent number, and corresponding student's unique ID number.
Step 2: collected separate sources, different types of students ' behavior data are carried out pretreatment and with unification
Data format is transmitted, and the unified data format is XML data format；To the data of acquisition carry out imperfect deletion and
After redundancy is deleted, behavioral data of the statistic at different time sections, different location is saved by XML data format.
It is counted Step 3: being based on NoSQL database to pretreated students ' behavior data according to default storage rule
According to storage and data classification, further comprise: according to default storage rule by the students ' behavior data of XML format store to
In NoSQL database Cassandra, and classify according to students ' behavior data of the K mean cluster method to XML format.It learns
School administrative staff can cluster the range of numerical value K according to the wish flexible setting of oneself, can provide cluster system initially set
The range (a, b) of number K, cluster process execute b-a traditional K mean cluster algorithm, and one is selected in b-a clustering
Optimal cluster coefficients K is as final cluster numbers.V is each data point of intra-cluster to the Europe of cluster centre
Family name's distance, external distance are 1/k (k-1) times of distance between each cluster centre, and K is the cluster number in this cluster process.V value
K value when minimum is optimal cluster numbers.
Step 4: according to data classification, according to the unique ID number of each student, using time of the act stamp and position as label,
Corresponding students ' behavior correlation model is established, track data curve corresponding with unique ID number is generated, with the row to each student
Track following is carried out for data.After establishing corresponding students ' behavior correlation model, the students ' behavior of foundation can also be associated with
Model is modified processing, forms the complete trajectory model of students ' behavior.
Step 5: being shown based on GIS map and web browser to students ' behavior motion profile.
The present invention carries out comprehensive statistics by the behavioral activity track to student, it is established that the road of the students ' behavior track
Line chart monitors each student's every day in real time in the motion profile of school, and is recordable in each node such as library, laboratory
The residence time of equal positions, the behavior motion profile of each student can be shown by visual means, be convenient for school pair
Student's carries out orderly management in school behavior, controls the dynamic of student in time, improves the efficiency and implementation capacity of campus administration work.
The present invention can be obtained by the students ' behavior motion profile of record the basic information of students, consumption information,
Behavior preference, reads the information such as preference, daily work and rest at the regional preference of activity, takes out labeling based on these basic informations
Student model, the behavior trend of students ', hobby, psychological characteristics, mutual-action behavior provide for the study employment of student
The teacher's instruction of property, provides the educational management of fining for school.Such as: students ' behavior is recorded and carries out comprehensive statistics, packet
Which include into and out of time point, residence time point and the behavioral statistics for having done under autonomous state sports.According to positioning
As a result the activity trajectory of student is drawn, and analyzes student most haunt and residence Time Analysis, help to teach
Teacher, which understands student interests and shoots the arrow at the target, to teach students in accordance with their aptitude.Teacher, which adds, can inquire the motion information of student, such as heart
Rate, step number, calorie.Dimension includes that day, the moon are with accumulative and mean value.It supports synchronous with platform by cell phone application；Parent end
The case where student, is inquired.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. the students ' behavior positioning system based on track data, which is characterized in that including the number connected by transport network communication
According to acquisition system and track location system；The data collection system for acquiring students ' behavior data in real time, and passes through transmission
The data of acquisition are transmitted to the track location system by network；The track location system, for received students ' behavior
Data are pre-processed, are stored, modeled and are shown；The track location system includes: data preprocessing module, for acquisition
To separate sources, different types of students ' behavior data carry out pre-process and transmitted with unified data format；Data
Memory module carries out data storage for being based on NoSQL database according to students ' behavior data of the default storage rule to acquisition
And data classification；Data modeling module, for establishing corresponding student according to the unique ID number of each student according to data classification
Behavior correlation model carries out track following with the behavioral data to each student；Data display module, for being transported to students ' behavior
The positioning and tracking of dynamic rail mark are visualized.
2. the students ' behavior positioning system according to claim 1 based on track data, which is characterized in that the data are adopted
Collecting system includes: campus RFID card system, video monitoring system, intelligent mobile terminal, Wireless LAN in Campus system, gate inhibition
The management system of system, attendance checking system, each venue in campus；The campus RFID card system includes campus RFID card and installation
The radio frequency identification equipment for being used to read campus RFID card in campus；The intelligent mobile terminal includes smart phone, plate
Computer, unmanned plane, wearable device；The management system of each venue in campus includes library management system, Stadium management
System and activity centre management system.
3. the students ' behavior positioning system according to claim 2 based on track data, which is characterized in that the data are adopted
The data of collecting system acquisition include: student's unique ID number, time of the act, RFID card number, wireless aps account, APP account, equipment SN
Number, video monitoring equipment location information, intelligent mobile terminal location information, campus location of wireless devices information, access control equipment position
Confidence breath, Time Attendance Device location information.
4. the students ' behavior positioning system according to claim 1 based on track data, which is characterized in that the data are pre-
The pretreatment that processing module carries out students ' behavior data includes: removal deficiency of data；Deleting duplicated data, picture；Statistics
Behavior of the student at different time sections, different location is converted into unified data format and is protected after obtaining data
It deposits.
5. the students ' behavior positioning system according to claim 4 based on track data, which is characterized in that the unification
Data format is XML data format.
6. the students ' behavior positioning system according to claim 1 based on track data, which is characterized in that the data are deposited
Storage module in data storage further comprise: according to default storage rule by the students ' behavior data of XML format store to
In NoSQL database Cassandra；Data classification further comprises: according to K mean cluster method to student's row of XML format
Classify for data.
7. the students ' behavior positioning system according to claim 1 based on track data, which is characterized in that the data are built
Mould module further comprises: establishing corresponding using time of the act stamp and position as label according to the unique ID number of each student
Raw behavior correlation model, generates track data curve corresponding with unique ID number.
8. the students ' behavior localization method based on track data, using positioning system such as of any of claims 1-6,
It is characterized in that, the described method comprises the following steps:
Step 1: acquiring the behavioral data of student in real time, the approach for acquiring data includes: campus RFID card system, campus
Monitoring system, intelligent mobile terminal, campus network system, access control system, the management system of attendance checking system, each venue in campus；
Step 2: collected separate sources, different types of students ' behavior data are carried out pretreatment and with unified data
Format is transmitted, and the unified data format is XML data format；
It is deposited Step 3: being based on NoSQL database to pretreated students ' behavior data according to default storage rule and carrying out data
Storage and data classification；
Step 4: being established according to the unique ID number of each student using time of the act stamp and position as label according to data classification
Corresponding students ' behavior correlation model generates track data curve corresponding with unique ID number, with the behavior number to each student
According to progress track following；
Step 5: being shown based on GIS map and web browser to students ' behavior motion profile.
9. the students ' behavior localization method according to claim 8 based on track data, which is characterized in that step 1 acquisition
Data include: student's unique ID number, time of the act, RFID card number, wireless aps account, APP account, equipment SN, video prison
Control device location information, campus location of wireless devices information, access control equipment location information, is examined intelligent mobile terminal location information
Diligent device location information.
10. the students ' behavior localization method according to claim 8 based on track data, which is characterized in that step 3 into
One step includes: to store the students ' behavior data of XML format into NoSQL database Cassandra according to default storage rule,
And classify according to students ' behavior data of the K mean cluster method to XML format.
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| CN111950973A (en) * | 2020-06-28 | 2020-11-17 | 闵亨锋 | Operation business model of student management system based on wearable equipment |
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