CN108537909A - A kind of the personnel's detection method and big data analysis system of unaware - Google Patents
A kind of the personnel's detection method and big data analysis system of unaware Download PDFInfo
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- CN108537909A CN108537909A CN201810243287.9A CN201810243287A CN108537909A CN 108537909 A CN108537909 A CN 108537909A CN 201810243287 A CN201810243287 A CN 201810243287A CN 108537909 A CN108537909 A CN 108537909A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/04—Reselecting a cell layer in multi-layered cells
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
Abstract
The invention discloses a kind of personnel's detection method of unaware and big data analysis systems, it is related to mobile communications network and big data processing technology field.It mounted on the micro-base station for needing the place detected into administrative staff and to acquiring the big data system software two parts handled from the log information of micro-base station network management platform by forming, the cellphone information of base station is connected by disposing micro-base station inspection, then according to the identity of the information cognitron owner such as base station IDs and mobile phone IMEI and present position, and user's daily behavior is analyzed using big data analysis system, big data analysis system acquires the log information realization personnel detection and behavioural analysis that mobile phone enters and exit base station from micro-base station background net management system.While the present invention realizes that personnel's unaware fixed point is registered, personnel's detection, stream of people's statistics, human behavior big data analysis are can also be achieved, expansible outstanding more application functions have great practical value.
Description
Technical field
The present invention relates to mobile communications network and big data processing technology fields, and in particular to a kind of people of unaware
Member's detection method and big data analysis system.
Background technology
In daily life and work, the demand registered is ubiquitous, therefore with computer techno-stress information skill
The development of art, people invented it is various it is more and more intelligentized register technology and systems realize personnel fixed point register:Such as IC card
It swipes the card and registers;Cell phone application barcode scanning is registered;The bio-identifications such as fingerprint, face and vena metacarpea are registered.These existing methods of registering
It is required for that dedicated equipment of registering is installed with system, hardware or needs to exist or the personnel of registering need to carry dedicated register
It is installed in cell phone application and registers software and carry out operation of registering, registered comparatively laborious time-consuming, easily cause the conflict of people.How
Operation of registering is completed in people's ignorant is without feel, it is assistant officer's problem to be solved to realize that personnel's unaware pinpoints function of registering.
To the flow of the people of the localities such as station, market, expressway carry out count and specific people is identified and
Monitoring and demand more urgent at present, existing system are mainly based upon the face identification method of camera video image,
Speed and discrimination etc. are all also barely satisfactory, can not identify that statistics has carried out the personnel of camouflage or car.Based on this,
Personnel's detection method and the big data analysis system for designing a kind of unaware are particularly necessary.
Invention content
In view of the shortcomings of the prior art, purpose of the present invention is to be to provide a kind of personnel's detection method of unaware
And big data analysis system passes through mobile network's femto cell day to acquisition while realizing that personnel's unaware fixed point is registered
Will information carries out big data analysis, can also be achieved personnel's detection, stream of people's statistics, human behavior big data analysis, expansible outstanding
More application functions, have great practical value, use easy to spread.
To achieve the goals above, the present invention is to realize by the following technical solutions:A kind of personnel's inspection of unaware
Big data analysis system is surveyed, by being put down mounted on the micro-base station for needing the place detected into administrative staff and to acquiring from micro-base station webmaster
Big data system software two parts composition that the log information of platform is handled, micro-base station is as acquisition information and identifies personnel's
Sensor, big data system acquire micro-base station network management system log information by api interface and carry out big data analysis processing.
A kind of personnel's detection method of unaware, step are:
(1) micro-base station is installed in selected location and by the background net management system of network insertion telecom operators, adjusts micro-
Base station transmitting power and directional aerial direction, enable micro-base station signal accurately to cover the zonule of setting.Such as micro-base station is installed
Disengaging school is detected and counted for detecting and counting the personnel into meeting-place, inside and outside school gate in meeting room
The personnel of door.
(2) by the relevant informations such as the ID number of micro-base station, installation addresses and affiliated unit, the employee's essential information and hand of unit
In the data inputs such as machine number and IMEI to big data analysis system;Big data analysis system both can log in hand by user's registration
Machine APP gets the cellphone information of user, also the cellphone information for obtaining user can be authorized to input by operator.
(3) its signal is strong in micro-base station overlay area crosses macro base station, is detected personnel's carrying mobile phone and enters micro-base station covering
When range, mobile phone signal is switched to micro-base station from macro base station, and macro base station is switched to from micro-base station when leaving micro-base station overlay area,
Micro-base station background net management system can record the time switched every time, mobile phone IMEI, IMSI, the ID number of base station, a upper base station ID
Number equal log informations.Big data analysis system is connect by network with operator micro-base station background net management system, and micro-base station is passed through
The log information that mobile phone is logged in and published in micro-base station is read in the api interface timing or batch that management system provides.Big data system
System may determine that place and the time of the into or out installation micro-base station of personnel according to log information, and then pass through big data point
Analyse the behavior of designated person.
Preferably, the big data analysis system can be used for but be not limited to appointed place personnel's unaware register,
Stream of people's detection and statistics, the monitoring of designated person and behavioural analysis etc..For example classroom or meeting etc. are registered, the daily row of campus student
For monitoring and statistical analysis, business place stream of people statistics and specific people's alarm etc..
When function of registering for pinpointing, the micro-base station ID in the specified place of registering of administrator only need to count at the appointed time section
It publishes mobile phone IMEI number and the time of the micro-base station, and people will be corresponded to by mobile phone IMEI personnel query information and complete label
It arrives;For there is no counterpart personnel's IMEI number in system, it is obtained by the authorization service interface of telecommunications and corresponds to phone number, by people
Work is added to after determining identity in system personnel information.
In micro-base station with the much the same region of macro base station information strength it is possible that mobile phone login base station is frequently cut back and forth
The phenomenon that changing, big data system filter out the data that disengaging switching time is less than given threshold by the way that a duration threshold value is arranged
Record only retains the record data for entering earliest and exiting the latest.
For personnel's detection and traffic statistic function, administrator is specified to check corresponding two micro- bases inside and outside channel such as gate
It stands ID number, big data analysis algorithm, which compares same mobile phone, to be logined the time order and functions of two micro-base stations and judge that carrying personnel are to enter also
To leave, can accurate statistics go out into or out it is big flow of the people, while by mobile phone IMEI personnel queries information into administrative staff
Matching can realize monitoring in real time or alarming to special population such as suspect.
For human behavior analytic function, the administrator's specified period to be analyzed and people, big data analysis system can be with
Count the daily active path and mechanics between the micro-base station place of system of nominator, such as the row of analysis student
For that can go up the number in library, teaching building, dining room weekly with statistic, stay in the time etc. in library, dormitory, classroom.
For group behavior analytic function, the administrator's specified period to be analyzed and the corresponding micro-base station ID in appointed place
Number, big data analysis system can count the number of the login micro-base station of appointed place each period, personnel composition etc.,
To comparison such as Statistical Library, the total number of persons of classroom day part, personnel's mean residence time etc..
Log information by acquiring telecom operators' macro base station can be carried out wider using big data analysis system
Personnel's detection and monitoring, correspondingly system data amount bigger, but since a macro base station signal cover is very wide, Zhi Nengyong
In extensive monitoring position.
Beneficial effects of the present invention:(1) realize that personnel's unaware fixed point is registered, the personnel of registering need not be with IC card etc
Hardware need not also be installed and register APP and do the operation registered, and register easy to be time saving, can be completed in people's ignorant is without feel
It registers operation, realizes that personnel's unaware fixed point is registered function;
(2) the activity big data left in different micro-base stations by the personnel to system acquisition is excavated, and can also be achieved
Personnel's detection, stream of people's statistics, human behavior big data analysis, expansible outstanding more application functions have great practical value.
Description of the drawings
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments;
Fig. 1 is the big data analysis system composed structure schematic diagram of the present invention;
Fig. 2 is 1 middle school student's management and control big data system schematic of the embodiment of the present invention.
Specific implementation mode
To make the technical means, the creative features, the aims and the efficiencies achieved by the present invention be easy to understand, with reference to
Specific implementation mode, the present invention is further explained.
Referring to Fig.1-2, present embodiment uses following technical scheme:A kind of personnel's detection big data point of unaware
Analysis system, by mounted on the place for needing to detect into administrative staff micro-base station and believe acquiring from the daily record of micro-base station network management platform
The big data system software two parts composition handled is ceased, micro-base station is as acquiring information and identifying the sensor of personnel, greatly
Data system acquires micro-base station network management system log information by api interface and carries out big data analysis processing.
A kind of personnel's detection method of unaware, step are:
(1) micro-base station is installed in selected location and by the background net management system of network insertion telecom operators, adjusts micro-
Base station transmitting power and directional aerial direction, enable micro-base station signal accurately to cover the zonule of setting.Such as micro-base station is installed
Disengaging school is detected and counted for detecting and counting the personnel into meeting-place, inside and outside school gate in meeting room
The personnel of door.
(2) by the relevant informations such as the ID number of micro-base station, installation addresses and affiliated unit, the employee's essential information and hand of unit
In the data inputs such as machine number and IMEI to big data analysis system;Big data analysis system both can log in hand by user's registration
Machine APP gets the cellphone information of user, also the cellphone information for obtaining user can be authorized to input by operator.
(3) its signal is strong in micro-base station overlay area crosses macro base station, is detected personnel's carrying mobile phone and enters micro-base station covering
When range, mobile phone signal is switched to micro-base station from macro base station, and macro base station is switched to from micro-base station when leaving micro-base station overlay area,
Micro-base station background net management system can record the time switched every time, mobile phone IMEI, IMSI, the ID number of base station, a upper base station ID
Number equal log informations.Big data analysis system is connect by network with operator micro-base station background net management system, and micro-base station is passed through
The log information that mobile phone is logged in and published in micro-base station is read in the api interface timing or batch that management system provides.Big data system
System may determine that place and the time of the into or out installation micro-base station of personnel according to log information, and then pass through big data point
Analyse the behavior of designated person.
It is worth noting that, the big data analysis system can be used for but be not limited to personnel's unaware label of appointed place
It arrives, stream of people's detection and statistics, the monitoring of designated person and behavioural analysis etc..For example classroom or meeting etc. are registered, campus student day
Normal behavior monitoring and statistical analysis, business place stream of people statistics and specific people's alarm etc..
In micro-base station with the much the same region of macro base station information strength it is possible that mobile phone login base station is frequently cut back and forth
The phenomenon that changing, big data system filter out the data that disengaging switching time is less than given threshold by the way that a duration threshold value is arranged
Record only retains the record data for entering earliest and exiting the latest.
Log information by acquiring telecom operators' macro base station can be carried out wider using big data analysis system
Personnel's detection and monitoring, correspondingly system data amount bigger, but since a macro base station signal cover is very wide, Zhi Nengyong
In extensive monitoring position.
Present embodiment acquires mobile phone in micro-base station and logs in by disposing mobile network's femto cell in appointed place
Log information carries out analyzing processing, and function of registering is completed in people's ignorant is without feel, realizes that personnel's unaware fixed point is registered, micro- base
Power of standing is smaller, the interior or blind area progress mobile network signals that mobile operator generally is used for it not cover macro base station
Point covering is mended, its coverage area can control in smaller region, and service is provided for the mobile phone user of overlay area.After micro-base station
The log information recording of platform network management system logs in and publishes the cellphone information of micro-base station, including logs in or logout time, mobile phone
IMSI, number IMEI, micro-base station ID, upper base station IDs etc..The present invention using people now what can without but mobile phone
From the custom of body the sensing of acquisition carrying mobile phone personnel identity information is not treated as by disposing micro-base station in locality
Device, big data analysis system acquisition and the log information for analyzing background net management system, according to the information such as base station IDs and mobile phone IMEI
The identity of cognitron owner and present position, and carry out user's daily behavior analysis, big data point using big data analysis system
Analysis system acquires log information realization personnel detection and the row that mobile phone enters and exit base station from micro-base station background net management system
For analysis.
The personal identification of present embodiment pinpoints function of registering, it is only necessary in the meeting that locality such as to be registered
Room center is installed by the micro-base station that one transmitting signal just covers meeting room range.User mobile phone is switched to by other base stations and is registered
Micro-base station, which just represents user and reaches, registers place, and user mobile phone, which by micro-base station is switched to other base stations and just represents user, to be had left.
Near the window of the edge such as meeting room in place of registering, micro-base station and macro base station information strength are similar, it is possible that
Mobile phone log in base station back and forth frequent switching the phenomenon that, big data system falls into out and cuts by the way that a duration threshold value automatic fitration is arranged
The data record that time interval is less than given threshold is changed, the record data for entering earliest and exiting the latest are retained.
For needing to detect the application scenario in stream of people direction, for example student is into out of school, the manned road by going down town of vehicle
Mouthful etc., it needs that two micro-base stations are installed, one is mounted in door, and one is mounted on outdoors, micro- into two according to tested mobile phone
The sequencing of base station determines that personnel enter or leave.
Present embodiment for fixed point register function when, the micro-base station ID in the specified place of registering of administrator only needs to unite
At the appointed time section publishes mobile phone IMEI number and the time of the micro-base station to meter, and will pass through mobile phone IMEI personnel query information
People is corresponded to complete to register;For not having counterpart personnel's IMEI number in system, it is right that its is obtained by the authorization service interface of telecommunications
Phone number is answered, by being added in system personnel information after manually determining identity.
For personnel's detection and traffic statistic function, administrator is specified to check corresponding two micro- bases inside and outside channel such as gate
It stands ID number, big data analysis algorithm, which compares same mobile phone, to be logined the time order and functions of two micro-base stations and judge that carrying personnel are to enter also
To leave, can accurate statistics go out into or out it is big flow of the people, while by mobile phone IMEI personnel queries information into administrative staff
Matching can realize monitoring in real time or alarming to special population such as suspect.
For human behavior analytic function, the administrator's specified period to be analyzed and people, big data analysis system can be with
Count the daily active path and mechanics between the micro-base station place of system of nominator, such as the row of analysis student
For that can go up the number in library, teaching building, dining room weekly with statistic, stay in the time etc. in library, dormitory, classroom.
For group behavior analytic function, the administrator's specified period to be analyzed and the corresponding micro-base station ID in appointed place
Number, big data analysis system can count the number of the login micro-base station of appointed place each period, personnel composition etc.,
To comparison such as Statistical Library, the total number of persons of classroom day part, personnel's mean residence time etc..
Embodiment 1:A kind of personnel's detection method of unaware, with reference to Fig. 2, step is:At the north and south gate of school point
Not An Zhuan two micro-base stations detect and count for the stream of people, personnel of detection disengaging school, and count flow of the people.In student's activities
Dormitory, dining room, classroom building, library, laboratory, sports ground respectively install a micro-base station and pinpointed for personal identification and signed
It arrives;Student's management and control big data system is by the student of the carrying mobile phone of api interface micro-base station network management system between micro-base station
Activity big data, the basic function provided include:Into out of school student's statistics, specified pay close attention to student into out of school
Detection is reminded, student occurs in places such as classroom building, libraries time statistics, each place different periods stream of people statistics etc.,
The movement monitoring etc. for the student that specified needs are paid close attention to;Educational administration management system, Student Employment Management System in conjunction with school
Data, the data mining capability of big data analysis system includes:Relationship between student performance and student's daily routines behavior
Relationship analysis etc. between analysis, Students ' Employment and student's daily routines behavior.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (10)
1. a kind of personnel of unaware detect big data analysis system, which is characterized in that need to detect into administrative staff by being mounted on
Place micro-base station and to acquiring the big data system software two handled from the log information of micro-base station network management platform
It is grouped as, micro-base station is as acquisition information and identifies the sensor of personnel, and big data system passes through api interface and acquires micro-base station net
Guard system log information simultaneously carries out big data analysis processing.
2. a kind of personnel's detection method of unaware, which is characterized in that its step is:
(1) micro-base station is installed in selected location and by the background net management system of network insertion telecom operators, adjusts micro-base station
Transmission power and directional aerial direction, enable micro-base station signal accurately to cover the zonule of setting;Micro-base station is such as mounted on meeting
View room is for detecting and counting the personnel into meeting-place, detect and count into out of school inside and outside school gate
Personnel;
(2) by the ID number of micro-base station, installation addresses and affiliated unit's relevant information, the employee's essential information and phone number of unit
And in IMEI data inputs to big data analysis system;
(3) its signal is strong in micro-base station overlay area crosses macro base station, is detected personnel's carrying mobile phone and enters micro-base station coverage area
When, mobile phone signal is switched to micro-base station from macro base station, and macro base station, micro- base are switched to from micro-base station when leaving micro-base station overlay area
Background net management system of standing can record the time switched every time, mobile phone IMEI, IMSI, the ID number of base station, a upper base station ID number day
Will information;Big data analysis system is connect by network with operator micro-base station background net management system, is by micro-base station management
The log information that mobile phone is logged in and published in the api interface timing provided or the batch reading micro-base station of uniting;Big data system according to
Log information may determine that place and the time of the into or out installation micro-base station of personnel, and then specified by big data analysis
The behavior of personnel.
3. the personnel's detection method and big data analysis system of a kind of unaware according to claim 2, which is characterized in that
Step (2) the big data analysis system both can log in the cellphone information that cell phone application gets user by user's registration, also may be used
The cellphone information input for obtaining user is authorized by operator.
4. the personnel's detection method and big data analysis system of a kind of unaware according to claim 2, which is characterized in that
It will appear mobile phone login base station with the much the same region of macro base station information strength in micro-base station in the step (3) frequently to cut back and forth
The phenomenon that changing, big data system filter out the data that disengaging switching time is less than given threshold by the way that a duration threshold value is arranged
Record only retains the record data for entering earliest and exiting the latest.
5. the personnel's detection method and big data analysis system of a kind of unaware according to claim 2, which is characterized in that
Step (3) the big data analysis system can be used for pinpointing function of registering, personnel's detection and traffic statistic function, human behavior point
Analyse function, group behavior analytic function;When selection fixed point registers function, the micro-base station ID in the specified place of registering of administrator, only
Mobile phone IMEI number and time that at the appointed time section publishes the micro-base station need to be counted, and mobile phone IMEI personnel queries will be passed through
Information corresponds to people and completes to register;For there is no counterpart personnel's IMEI number in system, obtained by the authorization service interface of telecommunications
It corresponds to phone number, by being added in system personnel information after manually determining identity.
6. the personnel's detection method and big data analysis system of a kind of unaware according to claim 5, which is characterized in that
Personnel's detection and traffic statistic function, administrator is specified to check corresponding two micro-base station ID numbers inside and outside channel such as gate,
Big data analysis algorithm, which compares same mobile phone, to be logined the time order and functions of two micro-base stations and judges that carrying personnel enter or leave,
Can accurate statistics go out into or out it is big flow of the people, while being matched into administrative staff by mobile phone IMEI personnel queries information can be real
Now monitoring in real time or alarming to special population such as suspect.
7. the personnel's detection method and big data analysis system of a kind of unaware according to claim 5, which is characterized in that
The human behavior analytic function, the administrator's specified period to be analyzed and people, big data analysis system can count specified
The daily active path and mechanics between the micro-base station place of system of people, for example analyze the behavior of student, Ke Yitong
The number that student goes up weekly library, teaching building, dining room is counted, the time in library, dormitory, classroom is stayed in.
8. the personnel's detection method and big data analysis system of a kind of unaware according to claim 5, which is characterized in that
The group behavior analytic function administrator specifies period and the appointed place corresponding micro-base station ID number to be analyzed, big data
Analysis system can count the number of the login micro-base station of appointed place each period, personnel composition, to comparison such as
Statistical Library, classroom day part total number of persons, personnel's mean residence time.
9. the personnel's detection method and big data analysis system of a kind of unaware according to claim 1, which is characterized in that
The step (3) can carry out bigger model by acquiring the log information of telecom operators' macro base station using big data analysis system
The personnel's detection and monitoring enclosed.
10. the personnel's detection method and big data analysis system, feature of a kind of unaware according to claim 5 exist
In, the big data analysis system can be used for but be not limited to appointed place personnel's unaware register, stream of people's detection with count, refer to
The monitoring and behavioural analysis of fix the number of workers, such as classroom or meeting signature, the monitoring of campus student daily behavior and statistical analysis, business
The place stream of people counts and specific people's alarm.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111370135A (en) * | 2020-03-04 | 2020-07-03 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
CN112685654A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团浙江有限公司 | Student identification method and device, computing equipment and readable computer storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101772108A (en) * | 2008-12-31 | 2010-07-07 | 中兴通讯股份有限公司 | Method, system and device for realizing handoff in micro-micro cellular communication system |
CN101990210A (en) * | 2009-07-31 | 2011-03-23 | 中兴通讯股份有限公司 | Distribution method of PCIs (Physical Cell Identities) in long-term evolution network |
CN102571242A (en) * | 2012-02-24 | 2012-07-11 | 华为技术有限公司 | Method and system used for aligning antennas |
CN103188717A (en) * | 2011-12-30 | 2013-07-03 | 中国移动通信集团广东有限公司 | Method and system of early warning of communication network |
CN104091374A (en) * | 2014-06-17 | 2014-10-08 | 东南大学常州研究院 | Real-time attendance method adopting GSM/3G mobile phone perception technology |
CN104581630A (en) * | 2014-12-31 | 2015-04-29 | 浙江融创信息产业有限公司 | Self-service anti-cheating sign-in method based on position service and two-dimensional code technology |
-
2018
- 2018-03-23 CN CN201810243287.9A patent/CN108537909A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101772108A (en) * | 2008-12-31 | 2010-07-07 | 中兴通讯股份有限公司 | Method, system and device for realizing handoff in micro-micro cellular communication system |
CN101990210A (en) * | 2009-07-31 | 2011-03-23 | 中兴通讯股份有限公司 | Distribution method of PCIs (Physical Cell Identities) in long-term evolution network |
CN103188717A (en) * | 2011-12-30 | 2013-07-03 | 中国移动通信集团广东有限公司 | Method and system of early warning of communication network |
CN102571242A (en) * | 2012-02-24 | 2012-07-11 | 华为技术有限公司 | Method and system used for aligning antennas |
CN104091374A (en) * | 2014-06-17 | 2014-10-08 | 东南大学常州研究院 | Real-time attendance method adopting GSM/3G mobile phone perception technology |
CN104581630A (en) * | 2014-12-31 | 2015-04-29 | 浙江融创信息产业有限公司 | Self-service anti-cheating sign-in method based on position service and two-dimensional code technology |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112685654A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团浙江有限公司 | Student identification method and device, computing equipment and readable computer storage medium |
CN112685654B (en) * | 2019-10-17 | 2023-04-07 | 中国移动通信集团浙江有限公司 | Student identification method and device, computing equipment and readable computer storage medium |
CN111370135A (en) * | 2020-03-04 | 2020-07-03 | 苏州远征魂车船技术有限公司 | Accurate management and control system of epidemic situation |
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