CN110491090A - Mid-aged population monitoring method based on mobile phone terminal - Google Patents
Mid-aged population monitoring method based on mobile phone terminal Download PDFInfo
- Publication number
- CN110491090A CN110491090A CN201910893400.2A CN201910893400A CN110491090A CN 110491090 A CN110491090 A CN 110491090A CN 201910893400 A CN201910893400 A CN 201910893400A CN 110491090 A CN110491090 A CN 110491090A
- Authority
- CN
- China
- Prior art keywords
- mid
- aged population
- user
- mobile phone
- aged
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- 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
- H04W4/024—Guidance services
-
- 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
- H04W4/025—Services making use of location information using location based information parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/90—Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/622—Layer-2 addresses, e.g. medium access control [MAC] addresses
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/69—Types of network addresses using geographic information, e.g. room number
Abstract
The present invention provides a kind of mid-aged population monitoring method based on mobile phone terminal comprising: the monitoring step of residential homes and the monitoring step of zone of action.The present invention is identified by the normal and abnormal speed of travel of the mobile phone terminal to mid-aged population.And real-time monitoring and analysis, senior activity's prediction model, middle senior activity's historical data base according in.Realize mobile phone terminal to the safety custody of mid-aged population trip distance and range behavioral value identification and the health degree of elderly population.When being abnormal situation, the alarm of old man's indoor activity time anomaly, the alarm of middle old man's outdoor activity time anomaly in realization.And middle old man's exception information and monitoring result are transferred to 5G edge data center, corresponding treatment measures are taken as early as possible with old man children relatives in shortest time announcement with Community Medical Staff where residence, it is ensured that the personal safety of mid-aged population.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of mid-aged population monitoring methods based on mobile phone terminal.
Background technique
Currently, the problem of an aging population is got worse, the population ratio of the elderly is constantly soaring, but corresponding society's clothes
Business is horizontal but hardly consistent with the requirement of existing safeguard and supervision for the aged, as the ratio of the elderly is higher and higher, many Empty nest elderlies or
Person is that grave illness old man needs guard for 24 hours.In the economic society of rapid development, if supervised without time enough and energy
Old man is protected, a series of social concerns can have been caused.Monitoring technology primarily rests on video equipment monitoring in existing the elderly room
On the basis of, but the indoor monitoring that the elderly is carried out using video equipment is easy to invade the privacy of the elderly, it is not big
Most the elderlys are received, thus are unable to get extensive promote and application.
Since there is individual differences for the living habit of each old man, life style and health status, in order to obtain some
There are a prediction model study stage in the active prediction model of old man, system operation incipient stage, in addition the life pattern of old man
Be not it is unalterable, with the variation in season time, life pattern can also change.It is reflected on activity, activity
Quantitative levels and distribution also can constantly change.
Current video frequency monitoring system be largely completed by the real-time monitoring of people, the disadvantage is that: need to monitor
For staff by watching monitor screen constantly come the situation of noting abnormalities, specific monitoring process is careful, continuous, long-term uninteresting
Process.Especially when monitoring point is more, monitoring personnel are often required in face of a very big face video wall, it is easy to be generated and be dredged
Leakage cannot find the unusual condition that monitored place occurs in time.Moreover, continuously monitoring picture will necessarily be related to individual
Privacy concern, mode of monitoring are not easy to be received by old man.Therefore, in view of the above-mentioned problems, it is necessary to propose further solution.
Summary of the invention
The present invention is intended to provide a kind of mid-aged population monitoring method based on mobile phone terminal, is deposited in the prior art with overcoming
Deficiency.
In order to solve the above technical problems, the technical scheme is that
A kind of mid-aged population monitoring method based on mobile phone terminal comprising: the monitoring step of residential homes and work
The monitoring step in dynamic region；
The monitoring step of the residential homes includes:
By the MAC Address of Wi-Fi router around the Wi-Fi chip scanning of user mobile phone, alternatively, by user
Wireless side periodic MR when net determines the actual geographic position of user position；
According to determining actual geographic position, judge it within the defined period, if exceed preset motion range,
As beyond showing that User Activity is normal, otherwise enter the calculating of the discrimination model of health degree；
The monitoring step of the zone of action includes:
It is the monitoring of user movement Condition Areas road and time point identification by polymerization analysis dynamic algorithm, according to setting
Place and time window differentiate the active state of user, calculate and the health status of analysis user changes.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, is determined and used by MAC Address
The actual geographic position of family position includes:
MAC Address is transferred to background server by internet, obtains the road Wi-Fi of background server storage
By the practical longitude and latitude positional information of device, the actual geographic position of user mobile phone is extrapolated according to wifi signal strength.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, is determined and used by MAC Address
The actual geographic position of family position further include:
Error is calculated to the MAC Address of router to be corrected, while utilizing OTT mobile phone app or Baidu's big data service,
The IP positioning carried out by the used app of mobile phone, is directly targeted to the GPS coordinate of user's residential homes, and to router
MAC Address calculates error and is corrected again.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, user place is determined by MR
The actual geographic position of position includes:
The periodic MR analysis of wireless side, extracts the ginseng of user's main serving cell in MR signaling when by surfing the Internet to user
Number, if the main serving cell of user is indoor cell at this time, using the cell longitude and latitude as the warp of user current location
Latitude.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, the monitoring of the zone of action
Step includes:
Special time period is selected, fine division mid-aged population spontaneous activity is taken a walk, mid-aged population dynamic body-building is living
Dynamic, mid-aged population high-speed mobile, mid-aged population medical treatment shopping activity, mid-aged population spontaneous activity get sun, in it is old
Year static sampling feature of crowd, the sampled point of threshold value is as polymerization analysis dynamic algorithm data；
It is mobile, static to carry out healthy mid-aged population high-speed mobile, low speed for the scene of mid-aged population based on selection
Sampled point divides；
Number threshold value is replaced to the second sampled point base station cell according to healthy mid-aged population the first sampled point base station cell
The operational data of number threshold value is replaced, polymerization analysis dynamic algorithm provides health information.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, the mobile middle-aged and the old of high middling speed
Group determines, the mobile mid-aged population of low speed determines, stationary state user determines；The mobile mid-aged population decision condition of high middling speed
Are as follows: in the time window of place, cell change number is more than or equal to stipulated number, and cell change distance is greater than threshold distance；
Low speed moves mid-aged population decision condition are as follows: in time window, cell change number is greater than stipulated number or first cell
It is less than threshold distance with the last one cell distance；Stationary state user's decision condition are as follows: in time window, cell change number
Equal to 0.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, the strong of user is calculated and analyzed
The calculating process of health changed condition are as follows:
By 7:00-7:30,7:00-9:30,10:00-10:30,11:00-12:00,12:00-14:00,15:00-17:
00, seven periods of 18:00-21:00 are positioned at starting point, and the activity of per period mid-aged population is from a health degree state
Another health degree state is gone to, a zone of action feasible solution is completed, when all mid-aged populations press different time sections, difference
After route and different speed are completed respective zone of action, recycling obtains data and is updated calculating, guidance polymerization
Analysis dynamic algorithm obtains health degree and finally solves.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, the strong of user is calculated and analyzed
The calculation formula (1) of health changed condition are as follows:
Different time sections l, different speed ρ, health degree deviation ω, mid-aged population zone of actionG person in middle and old age
Crowd's number, BkHealth degree value, the value size that k health degree judges extremely, ε health degree updated value, a represent initial position b and represent eventually
Position only.
As the improvement of the mid-aged population monitoring method of the invention based on mobile phone terminal, for different routes and difference
Speed, pass through polymerization analysis dynamic weighting method calculate mid-aged population health degree index:
Obtain mid-aged population polymerization analysis dynamical health degree target function W:
In formula, L indicates the length of mid-aged population regional location target；xtIndicate mid-aged population route normal time
Value；xfIndicate mid-aged population route actual time value；CoefficientIndicate that the tendentiousness affairs made according to activity in one day select
, coefficientIt can be taken as 0.9, mid-aged population route actual time value is the function of health degree index；Mid-aged population route is just
Normal time value is associated with mid-aged population polymerization analysis dynamical health degree index；
Communication network, which is calculated, according to formula divides every route polymerization in the administrative division map to form connection starting point and target point
Dynamical health value is analyzed, by taking nth side as an example:
Point target is all the same with setting the daily zone of action of mid-aged population and nothing connects each other, and strong to mid-aged population
Kang Du index model is simplified, therefore when (n+1)th line-of-road movement of the mid-aged population along zone of action, health degree index
Zone of action point target it can be divided into seven sections and carry out that following formula is calculated:
In formula, s indicates the distance in the daily zone of action place of nth mid-aged population；The grade of n expression health degree index
Number；Indicate the distance of the path 1-7 health degree index test, the daily zone of action place of mid-aged population
The identical situation of speed under, it is believed that χi=S, then have χ∫i=Sn。
Compared with prior art, the beneficial effects of the present invention are: the present invention by mobile phone terminal to mid-aged population just
Often identified with the abnormal speed of travel.And real-time monitoring and analysis, senior activity's prediction model, middle senior activity go through according in
History database.Realize mobile phone terminal to the health degree of mid-aged population trip distance and range behavioral value identification and elderly population
Safety custody.When being abnormal situation, the alarm of old man's indoor activity time anomaly, middle old man's outdoor activity time in realization
Abnormal alarm.And middle old man's exception information and monitoring result are transferred to 5G edge data center, in shortest time announcement
Old man children relatives take corresponding treatment measures with Community Medical Staff where residence as early as possible, it is ensured that the people of mid-aged population
Body safety.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in invention, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the method flow schematic diagram of the mid-aged population monitoring method of the invention based on mobile phone terminal.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention provides a kind of mid-aged population monitoring method based on mobile phone terminal comprising: it lives
The monitoring step of house and the monitoring step of zone of action.
The monitoring step of the residential homes for realizing person in middle and old age the monitoring inhabited in house.
The monitoring step of the residential homes includes: Wi-Fi router around the Wi-Fi chip scanning by user mobile phone
MAC Address.
Specifically, the principle of above-mentioned steps is: utilizing Wi-Fi router around the Wi-Fi chip scanning of user mobile phone
The address MAC (Medium/Media Access Control) is (for indicating the identifier and signal of each website on internet
Intensity) by internet is transferred to background server, there is the reality of these Wi-Fi routers on background server
Longitude and latitude positional information extrapolates the actual geographic position of user mobile phone according to wifi signal strength.
Specifically, since the volume unit of signal is dBm, it is better closer to 0 signal using negative number representation, such as A
The intensity of signal is -40, and the intensity of B signal is -60, then a-signal is better than B signal；The value of dBm is generally between -90~0:
Stronger section-the 50dbm of signal~0dbm, the relatively good section -75 of signal~-50, -75 or less weak section of signal；Letter
The relationship of number intensity and wireless router power, formula dbm=10*lg (power/1mw).
Simultaneously as each Wi-Fi hotspot (router) has a unique address, when mobile phone opens wifi,
It can scan and collect the wifi signal of surrounding router, while the location information for uploading scanning forms hot spot position to server
Set database.Server retrieves the geographical location of each wifi hotspot again, and then the degree of strength different according to signal, calculates
The geographical location of mobile phone.
It is corrected in addition, calculating error to the MAC Address of router, while utilizing OTT mobile phone app or Baidu's big data
Service is positioned by the IP that the used app of mobile phone is carried out, is directly targeted to the GPS coordinate of user's residential homes, and to routing
The MAC Address of device calculates error and is corrected again, so with realize 5-10 meters of error it is identified below.
When user is not based on Wi-Fi on-chip, at this point, wireless side is periodic when by surfing the Internet to user
MR determines the actual geographic position of user position.Its principle is: wireless side week when by surfing the Internet to mid-aged population user
The MR (Measurement Report, measurement report) of phase property is analyzed, and extracts the ginseng of user's main serving cell in MR/ signaling
Number, if the main serving cell of user is indoor cell at this time, using the cell longitude and latitude as the warp of user current location
Latitude.
To, if by above integrate complex method can very good solution location Calculation be based only upon current connection
Wi-Fi access point, then Wi-Fi positioning is just easy to that there are error (such as: positioning floor mistake).Wi-Fi access point is usual
Range that all can only be 70 meters of covering radius or so, it is easy to by the interference of other signals, thus the problems such as influencing its precision.
According to determining actual geographic position, judge it within the defined period, if exceed preset motion range,
Show that User Activity is normal if exceeding.
For example, do not go on a journey if identified mid-aged population residential homes 3 days~7 days, static activity 0m, 5G edge data
The calculating that center enters the discrimination model of aged health degree is judged.
Monitoring of the monitoring step of the zone of action for realizing person in middle and old age in a regional activity, comprising: house
Periphery courtyard greenery patches, cell residential area, urban pedestrian area, bicycle or public transport operation area etc..Generally, it is considered that house periphery courtyard
It is that major radiuses are generally no greater than 500m., urban district that greenery patches radius, which is generally no greater than the residential area walking of 200m cell, bicycle or public transport,
Walking, bicycle or public transport are that major radiuses are generally no greater than 1000m~10000m.
MR (MeasurementReport, measurement report) refers to information every 480ms (on signaling channel on a traffic channel
A data 470ms) are sent, these data can be used for network evaluation and optimization.
MR measurement report is completed by MS and BTS, and MS is executed and reported GSM cell downlink level intensity, quality and TA, BTS
Execute the simultaneously receiving level strength of reporting uplink MS and the measurement of quality.The processing of measurement report usually (works as use in BSC completion
When the pretreatment mode of BTS, measurement report processing can be displaced downwardly to BTS completion), the functions such as basic filtering, interpolation are provided, are
Subsequent variable structure contorl provides basic input, is the basis of variable structure contorl and power control algorithm etc..
Based on traditional network optimized approach, user can only be obtained by drive test, fixed test and experiences information, such as network
Coverage condition, speech quality situation etc., and drive test and fixed test can only often survey some major trunk roads, emphasis place
Examination, sample point data obtained wants much less relative to the user information of MR, therefore there are one-sidedness for the result analyzed.
MR tool processing measurement data collected, for the evaluation of the whole network wireless environment, instead of a large amount of customary drive test
And fixed test, save O&M cost；Measurement report when actually occurring call with user evaluates network, than drive test and fixed point
It measures more targeted, moreover it is possible to data of these acquisitions be excavated, the behavior pattern of analyzing user, distribution in the cell
Etc. information, facilitate formulation Network Optimization Strategy.
The typical case example of one MR are as follows: cell telephone traffic distributional analysis: the periodic measurement report in analysis communication process
It accuses, obtains the position of user's communication, can get distribution situation of the traffic in cell, be network optimization (adjustment cell function
Rate, increase carrier frequency, the distribution of adjustment site etc.) foundation is provided.The real-time assessment of wireless coverage: acquisition measurement report obtains cell
Interior wireless coverage situation saves the daily drive test expense expenditure of operator.Analysis of shift: acquisition switches front/rear measurement report,
Obtain the geographical distribution and radio environment information of switch area；It analyzes and uses resource in handoff procedure, position the failure of specific resources,
Improve handover success rate；The signaling of switching flow is analyzed, switch reasons, handover failure reason are counted.Malice is checked using network:
The signaling procedure for checking mobile phone judges whether there is the case where a large amount of callings are disconnected；Paging message is counted, what discovery frequently called
Original number；Count quantity, region and Annual distribution that short message is sent, the source of auxiliary judgment refuse messages.
The monitoring step of the zone of action includes:
It is the monitoring of user movement Condition Areas road and time point identification by polymerization analysis dynamic algorithm, according to setting
Place and time window differentiate the active state of user, calculate and the health status of analysis user changes.
The technical concept of the monitoring step of the zone of action are as follows: when mid-aged population walking, the 60%~70% of human body
Muscle group activity, need to consume a large amount of body energy, need include respiratory system, the circulatory system, nervous system and
The support and cooperation of multiple tracts including musculoskeletal system.Mid-aged population walks fast, then shows that cardio-pulmonary function is good,
Each joint especially knee joint, hip joint situation are good, and leg muscle situation is good, moreover it is possible to prove the cerebral function of elderly population not
Mistake, cognitive function are good, in addition, can also reflect that eyesight, hearing situation are good to a certain extent.Therefore, the elderly to walk fast
Group is comparatively healthier.The speed of walking of ordinary people is 0.9 meter of each second；Speed of such as walking is lower than in 0.6 meter of each second
Elderly population, explanation are in a bad state of health, and on the one hand walking speed reflects that the body system of old man has been damaged slowly, another party
Face, which also indicates that, to be needed to expend more energy when his walking, so leg speed can play the role of indication to health status.
Based on the important indicator that leg speed judges as healthy elder, the monitoring step of the zone of action includes:
Special time period is selected, fine division mid-aged population spontaneous activity is taken a walk, mid-aged population dynamic body-building is living
Dynamic, mid-aged population high-speed mobile, mid-aged population medical treatment shopping activity, mid-aged population spontaneous activity get sun, in it is old
Year static sampling feature of crowd, the sampled point of threshold value is as polymerization analysis dynamic algorithm data；
It is mobile, static to carry out healthy mid-aged population high-speed mobile, low speed for the scene of mid-aged population based on selection
Sampled point divides；
Number threshold value is replaced to the second sampled point base station cell according to healthy mid-aged population the first sampled point base station cell
The operational data of number threshold value is replaced, polymerization analysis dynamic algorithm provides health information.
Wherein, the mobile mid-aged population of high middling speed determines, the mobile mid-aged population of low speed determines, stationary state user sentences
It is fixed；The mobile mid-aged population decision condition of high middling speed are as follows: in the time window of place, cell change number is more than or equal to regulation time
Number, and cell change distance is greater than threshold distance；Low speed moves mid-aged population decision condition are as follows: in time window, cell
It replaces number and is greater than stipulated number or first cell and the last one cell distance less than threshold distance；Stationary state user sentences
Fixed condition are as follows: in time window, cell change number is equal to 0.
In a specific embodiment, the monitoring step of the zone of action includes:
S1, selection specific time 6:00-22:00, Samples selecting WLAN/ mobile phone app and signaling location data get knowledge ready
Not, finely division mid-aged population spontaneous activity is taken a walk, mid-aged population dynamic body-building is movable, mid-aged population high speed is moved
It moves, mid-aged population medical treatment shopping activity, mid-aged population spontaneous activity are got sun, the static sampling feature of mid-aged population:
The sampled point of threshold value is as polymerization analysis dynamic algorithm data.
The scene of S2, mid-aged population based on selection, carry out healthy mid-aged population high-speed mobile, low speed move it is dynamic and static
Sampled point only divides.
S3, healthy mid-aged population the first sampled point base station cell replacement number threshold value to the second sampled point base station cell more
The operational data of number threshold value is changed, such as obtaining healthy mid-aged population leg speed is about 1.3 to 1.4 meters of each second, polymerization analysis
Dynamic algorithm provides the prompt information that is in a good state of health.
S4, inferior health mid-aged population are with the decline of physical condition, and leg speed is about in 0.8 meter of each second.It is old in if
Number threshold value is replaced to the operand of the second sampled point base station cell replacement number threshold value for year crowd the first sampled point base station cell
According to such as obtaining inferior health mid-aged population leg speed lower than 0.6 meter per second, so that it may say " losing time "；Polymerization analysis dynamic algorithm is given
Be in a bad state of health prompt information out.
The mobile sampling of taking a walk of S5, mid-aged population spontaneous activity determines: meet mid-aged population nonstatic feature, and
In 7:00-7:30 time window, mobile phone mid-aged population user without position under the premise of switching, because of frequently conversing or short
The specific location variation pair degree of the location information that letter APP is sent to 2G/4G communication network and GSI positioning, is greater than setting threshold value.It is poly-
Analysis dynamic algorithm is closed to start to carry out the calculating of middle-aged and the old's leg speed according to setting threshold value.
S6, the mobile sampling of mid-aged population dynamic body-building activity determine: meet mid-aged population nonstatic feature, and 7:
In 00-9:30 time window, this programme will delete active mode data, only retain passive mode data.Due to passive mode
Period is about 40-50min, and passive mode has the advantages that acquisition data are complete and stable, and collection period can satisfy person in middle and old age
The required precision of polymerization analysis dynamic algorithm when crowd's dynamic body-building activity.When the specific location variation pair degree of GSI positioning, it is lower than
Threshold value polymerization analysis dynamic algorithm is set according to setting, threshold value starts to carry out the calculating of middle-aged and the old's dynamic body-building activity leg speed.Come
Realize the emphasis monitoring of middle-aged and the old's dynamic body-building activity health status.
The mobile sampling of S7, mid-aged population dynamic mid-aged population high-speed mobile, mid-aged population medical treatment shopping activity is sentenced
It is fixed: to meet mid-aged population nonstatic feature, and in 10:00-10:30,11:00-12:00 time window, this programme is by hand
Machine app and signaling location data geography information map to mid-aged population medical treatment shopping activity region, according to mid-aged population hand
The history wireless measurement information that machine signaling location data region MR/CQT includes knows that location information builds mathematical model relationship with oneself, really
The specific location of fixed each medical treatment shopping activity point, the specific location variation pair degree of GSI positioning is lower than setting threshold value.Polymerization analysis
Dynamic algorithm calculates and analysis mid-aged population traffic trip health status variation monitoring.
S8, mid-aged population dynamic mid-aged population are static, mid-aged population spontaneous activity is got sun, and activity movement is adopted
Sample determines: meeting mid-aged population static feature, and in 12:00-14:00,15:00-17:00,18:00-21:00 time window
Mouthful.Monitoring signaling obtains the communication feature of mid-aged population, analyzes with the behavior of periodical MR data mid-aged population:
Time window 12:00-14:00,18:00-21:00 are more than in the same main serving cell or adjacent area residence time
2-5 hours or more；
Time window 12:00-14:00,18:00-21:00 have during this period of time moving range less than in 10 meters,
Speed is less than 0.6 meter per second；
Time window 12:00-14:00,18:00-21:00 are more than with duration is continuously monitored in main serving cell or adjacent area
0-30 points of calls, online, short message communication behavior；
Have the as above polymerization analysis dynamic algorithm of some or multiple conditions to start to be calculated and analyzed the middle-aged and the old
Static, the mid-aged population spontaneous activity of group is got sun activity health status variation monitoring.
The angle calculated below from model, is illustrated the technical solution of the monitoring step of the zone of action.
Calculate and analyze the calculating process of the health status variation of user are as follows:
By 7:00-7:30,7:00-9:30,10:00-10:30,11:00-12:00,12:00-14:00,15:00-17:
00, seven periods of 18:00-21:00 are positioned at starting point, and the activity of per period mid-aged population is from a health degree state
Another health degree state is gone to, a zone of action feasible solution is completed, when all mid-aged populations press different time sections, difference
After route and different speed are completed respective zone of action, recycling obtains data and is updated calculating, guidance polymerization
Analysis dynamic algorithm obtains health degree and finally solves.
Health degree is calculated and finally solves related calculation formula (1) are as follows:
Different time sections l, different speed ρ, health degree deviation ω, mid-aged population zone of actionG person in middle and old age
Crowd's number, BkHealth degree value, the value size that k health degree judges extremely, ε health degree updated value, a represent initial position b and represent eventually
Position only.
Wherein, for different routes and different speed, mid-aged population is calculated by polymerization analysis dynamic weighting method
Health degree index:
Obtain mid-aged population polymerization analysis dynamical health degree target function W:
In formula, L indicates the length of mid-aged population regional location target；xtIndicate mid-aged population route normal time
Value；xfIndicate mid-aged population route actual time value；CoefficientIndicate that the tendentiousness affairs made according to activity in one day select
, coefficientIt can be taken as 0.9, mid-aged population route actual time value is the function of health degree index；Mid-aged population route is just
Normal time value is associated with mid-aged population polymerization analysis dynamical health degree index；
Communication network, which is calculated, according to formula divides every route polymerization in the administrative division map to form connection starting point and target point
Dynamical health value is analyzed, by taking nth side as an example:
Point target is all the same with setting the daily zone of action of mid-aged population and nothing connects each other, and strong to mid-aged population
Kang Du index model is simplified, therefore when (n+1)th line-of-road movement of the mid-aged population along zone of action, health degree index
Zone of action point target it can be divided into seven sections and carry out that following formula is calculated:
In formula, s indicates the distance in the daily zone of action place of nth mid-aged population；The grade of n expression health degree index
Number；Indicate the distance of the path 1-7 health degree index test, the daily zone of action place of mid-aged population
The identical situation of speed under, it is believed that χi=S, then have χ∫i=Sn。
In a specific embodiment, calculate and analyze user health status variation calculating process specifically include as
Lower step:
In the present embodiment, design one day mid-aged population dynamic moving statistical time be 7 spacer .7:00-7:30,
7:00-9:30,10:00-10:30,11:00-12:00,12:00-14:00,15:00-17:00,18:00-21:00 each time
Section, using the orientation of mid-aged population residence area as start-stop point, and different time sections, mid-aged population spontaneous activity dissipates
Step, the activity of mid-aged population dynamic body-building, mid-aged population high-speed mobile, mid-aged population medical treatment shopping activity, the middle-aged and the old
Group's spontaneous activity is got sun regional location target, and locating orientation is set to target point, by GSI position WLAN/ mobile phone app with
Signaling location data gets identification progress communication network ready and divides the administrative division map to form connection starting point and target point, and this method is
Different time sections are pressed in a kind of determination.Different routes and different speed carry out polymerization analysis dynamic weighting method and calculate person in middle and old age
Population health degree index calculating method.
In formula, L indicates the length of mid-aged population regional location target；W indicates that mid-aged population polymerization analysis dynamic is strong
Kang Du target function；xtIndicate mid-aged population route normal time value；xfIndicate mid-aged population route actual time value；System
NumberIndicate the tendentiousness affairs options made according to activity in one day.CoefficientIt is practical to can be taken as 0.9. mid-aged population route
Time value is the function of health degree index；Mid-aged population route normal time value and mid-aged population polymerization analysis dynamical health
It is associated to spend index.
Communication network, which is calculated, according to formula divides every route polymerization in the administrative division map to form connection starting point and target point
Analysis dynamical health value has by taking nth side as an example:
Point target is all the same with setting the daily zone of action of mid-aged population and nothing connects each other for the present embodiment, and centering is old
Year population health degree index model is simplified, therefore when (n+1)th line-of-road movement of the mid-aged population along zone of action, it is good for
Kang Du index can simply zone of action point target be divided into seven sections and be calculated just and has following formula:
In formula, s indicates the distance in the daily zone of action place of nth mid-aged population；The grade of n expression health degree index
Number；Equal indicate the distance of the path 1-7 health degree index test, the daily zone of action place of mid-aged population
In the identical situation of speed, χ can be simply thoughti=S, then have χ∫i=Sn。
The present embodiment predicts mould by the movable health degree of the available mid-aged population of polymerization analysis Dynamic calculation method
Type.The existing certain regularity of zone of action health degree of mid-aged population also has temporal not timing randomness, root simultaneously
Health degree is divided into different ranks extremely according to the reduction situation of zone of action time, the opposite bigger health degree exception grade of reduction amount
Not higher, the value that health degree judges extremely should be constantly modified according to the dynamic data of polymerization analysis, to identify
The individual difference of mid-aged population and due to seasonal variations generate health degree deviation.
Underway elderly population polymerization analysis dynamical health degree crawler behavior is come when solving, by 7:00-7:30,7:00-
Seven periods of 9:30,10:00-10:30,11:00-12:00,12:00-14:00,15:00-17:00,18:00-21:00 are fixed
Positioned at starting point, the activity of per period mid-aged population uses certain health degree state transition rules from a health degree shape
State goes to another health degree state, completes a zone of action feasible solution.When all mid-aged populations press different time sections.No
After being completed respective zone of action with route and different speed, recycling obtains data and is updated computation rule, this
The bootable polymerization analysis dynamic algorithm of one data updating process obtains health degree and finally solves.
Its mid-aged population zone of action polymerization analysis dynamic algorithm data updates the following of rule
Update ruleDifferent time sections l, different speed ρ, health degree deviation ω, mid-aged population zone of actionG mid-aged population number, BkHealth degree value, the value size that k health degree judges extremely.ε health degree updated value, a are represented
Beginning position b represents the position terminated.
In conclusion the present invention is identified by the normal and abnormal speed of travel of the mobile phone terminal to mid-aged population.
And real-time monitoring and analysis, senior activity's prediction model, middle senior activity's historical data base according in.Realize mobile phone terminal centering
The safety custody of elderly population trip distance and range behavioral value identification and the health degree of elderly population.It is being abnormal situation
When, the alarm of old man's indoor activity time anomaly, the alarm of middle old man's outdoor activity time anomaly in realization.And middle old man is believed extremely
Breath and monitoring result are transferred to 5G edge data center, the society where old man children relatives in shortest time announcement and residence
Area medical worker takes corresponding treatment measures as early as possible, it is ensured that the personal safety of mid-aged population.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (9)
1. a kind of mid-aged population monitoring method based on mobile phone terminal, which is characterized in that the monitoring method includes: to live
The monitoring step of residence and the monitoring step of zone of action；
The monitoring step of the residential homes includes:
By the MAC Address of Wi-Fi router around the Wi-Fi chip scanning of user mobile phone, alternatively, when by surfing the Internet to user
The periodic MR of wireless side determines the actual geographic position of user position；
According to determining actual geographic position, judge it within the defined period, if exceed preset motion range, it is such as super
Then show that User Activity is normal out；
The monitoring step of the zone of action includes:
It is the monitoring of user movement Condition Areas road and time point identification by polymerization analysis dynamic algorithm, according to the place of setting
The active state of user is differentiated with time window, calculates and the health status of analysis user changes.
2. the mid-aged population monitoring method according to claim 1 based on mobile phone terminal, which is characterized in that pass through MAC
Address determines that the actual geographic position of user position includes:
MAC Address is transferred to background server by internet, obtains the Wi-Fi router of background server storage
Practical longitude and latitude positional information, the actual geographic position of user mobile phone is extrapolated according to wifi signal strength.
3. the mid-aged population monitoring method according to claim 2 based on mobile phone terminal, which is characterized in that pass through MAC
Address determines the actual geographic position of user position further include:
Error is calculated to the MAC Address of router to be corrected, while utilizing OTT mobile phone app or Baidu's big data service, is passed through
The IP positioning that the used app of mobile phone is carried out, is directly targeted to the GPS coordinate of user's residential homes, and to the MAC of router
Location calculates error and is corrected again.
4. the mid-aged population monitoring method according to claim 1 based on mobile phone terminal, which is characterized in that true by MR
The actual geographic position for determining user position includes:
The periodic MR analysis of wireless side, extracts the parameter of user's main serving cell in MR signaling when by surfing the Internet to user,
If the main serving cell of user is indoor cell at this time, using the cell longitude and latitude as the longitude and latitude of user current location
Degree.
5. the mid-aged population monitoring method according to claim 1 based on mobile phone terminal, which is characterized in that the activity
The monitoring step in region includes:
Select special time period, it is fine divide mid-aged population spontaneous activity take a walk, the activity of mid-aged population dynamic body-building, in
Elderly population high-speed mobile, mid-aged population medical treatment shopping activity, mid-aged population spontaneous activity get sun, mid-aged population
Static sampling feature, the sampled point of threshold value is as polymerization analysis dynamic algorithm data；
The scene of mid-aged population based on selection carries out healthy mid-aged population high-speed mobile, low speed movement, static sampling
Point divides；
Number threshold value is replaced according to healthy mid-aged population the first sampled point base station cell to replace to the second sampled point base station cell
The operational data of number threshold value, polymerization analysis dynamic algorithm provide health information.
6. the mid-aged population monitoring method according to claim 5 based on mobile phone terminal, which is characterized in that high middling speed is moved
Dynamic mid-aged population determines, the mobile mid-aged population of low speed determines, stationary state user determines；The mobile mid-aged population of high middling speed
Decision condition are as follows: in the time window of place, cell change number is more than or equal to stipulated number, and cell change distance is greater than door
Range line from；Low speed moves mid-aged population decision condition are as follows: in time window, cell change number is greater than stipulated number or first
A cell and the last one cell distance are less than threshold distance；Stationary state user's decision condition are as follows: in time window, cell is more
Number is changed equal to 0.
7. the mid-aged population monitoring method according to claim 1 based on mobile phone terminal, which is characterized in that calculate and divide
Analyse the calculating process of the health status variation of user are as follows:
By 7:00-7:30,7:00-9:30,10:00-10:30,11:00-12:00,12:00-14:00,15:00-17:00,18:
Seven periods of 00-21:00 are positioned at starting point, and the activity of per period mid-aged population is gone to separately from a health degree state
One health degree state completes a zone of action feasible solution, when all mid-aged populations by different time sections, different route and
After different speed is completed respective zone of action, recycling obtains data and is updated calculating, and guidance polymerization analysis is dynamic
State algorithm obtains health degree and finally solves.
8. the mid-aged population monitoring method according to claim 7 based on mobile phone terminal, which is characterized in that calculate and divide
Analyse the calculation formula (1) of the health status variation of user are as follows:
Different time sections l, different speed ρ, health degree deviation ω, mid-aged population zone of actionG mid-aged population
Number, BkHealth degree value, the value size that k health degree judges extremely, ε health degree updated value, s is with indicating mid-aged population zone of action
The distance of point, a represent initial position b and represent the position terminated.
9. the mid-aged population monitoring method according to claim 7 based on mobile phone terminal, which is characterized in that for difference
Route and different speed calculate mid-aged population health degree index by polymerization analysis dynamic weighting method:
Obtain mid-aged population polymerization analysis dynamical health degree target function W:
In formula, L indicates the length of mid-aged population regional location target；xtIndicate mid-aged population route normal time value；xfTable
Show mid-aged population route actual time value；CoefficientIndicate the tendentiousness affairs options made according to activity in one day, coefficient
It can be taken as 0.9, mid-aged population route actual time value is the function of health degree index；Mid-aged population route normal time value
It is associated with mid-aged population polymerization analysis dynamical health degree index；
Communication network, which is calculated, according to formula divides every route polymerization analysis in the administrative division map to form connection starting point and target point
Dynamical health value, by taking nth side as an example:
Point target is all the same with setting the daily zone of action of mid-aged population and nothing connects each other, and to mid-aged population health degree
Index model is simplified, therefore when (n+1)th line-of-road movement of the mid-aged population along zone of action, and health degree index can be
Zone of action point target be divided into seven sections and carry out that following formula is calculated:
In formula, s indicates the distance in the daily zone of action place of nth mid-aged population；The number of degrees of n expression health degree index
Mesh；Indicate the distance of the path 1-7 health degree index test, the daily zone of action place of mid-aged population
In the identical situation of speed, it is believed that χi=S, then have χi=Sn。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910893400.2A CN110491090B (en) | 2019-09-20 | 2019-09-20 | Mobile phone terminal-based middle-aged and elderly people group monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910893400.2A CN110491090B (en) | 2019-09-20 | 2019-09-20 | Mobile phone terminal-based middle-aged and elderly people group monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110491090A true CN110491090A (en) | 2019-11-22 |
| CN110491090B CN110491090B (en) | 2021-07-09 |
Family
ID=68558836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910893400.2A Active CN110491090B (en) | 2019-09-20 | 2019-09-20 | Mobile phone terminal-based middle-aged and elderly people group monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110491090B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112954603A (en) * | 2019-11-26 | 2021-06-11 | 中国移动通信集团甘肃有限公司 | Prediction method of motion trail of special crowd and electronic equipment |
| WO2022247263A1 (en) * | 2021-05-27 | 2022-12-01 | 展讯通信（上海）有限公司 | User state monitoring method, device and system, and computer-readable storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102036204A (en) * | 2009-09-24 | 2011-04-27 | 中兴通讯股份有限公司 | Method and system for realizing emergency location |
| US20110124338A1 (en) * | 2009-11-20 | 2011-05-26 | General Motors Llc | Delayed geospecific mobile number assignment |
| CN102879791A (en) * | 2012-10-09 | 2013-01-16 | 潮州市创佳电子有限公司 | System for sensing activity data of elder person based on Beidou positioning terminal |
| CN103220376A (en) * | 2013-03-30 | 2013-07-24 | 清华大学 | Method for positioning IP (Internet Protocol) by position data of mobile terminal |
| CN104202719A (en) * | 2014-08-14 | 2014-12-10 | 长安通信科技有限责任公司 | People number testing and crowd situation monitoring method and system based on position credibility |
| CN105338479A (en) * | 2014-06-09 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Place-based information processing method and apparatus |
| CN105871879A (en) * | 2016-05-06 | 2016-08-17 | 中国联合网络通信集团有限公司 | Automatic network element abnormal behavior detection method and device |
| CN106028283A (en) * | 2016-05-26 | 2016-10-12 | 上海网数信息科技有限公司 | Method and system for analyzing user offline behaviors through wireless network data |
| US20170046743A1 (en) * | 2012-04-05 | 2017-02-16 | Blis Media Limited | Identifying the Physical Location of Internet Service Providers |
| CN106855857A (en) * | 2015-12-08 | 2017-06-16 | 北京亿阳信通科技有限公司 | data correlation method and system |
| CN107087040A (en) * | 2017-05-25 | 2017-08-22 | 唐明伟 | The localization method of relative position, device and system |
| CN107396299A (en) * | 2017-06-01 | 2017-11-24 | 北京三快在线科技有限公司 | Localization method and device, the method for building up and device of database |
| CN108366337A (en) * | 2018-01-25 | 2018-08-03 | 中国地质大学（武汉） | A kind of indoor positioning signing in method and system based on Wi-Fi |
| CN108668221A (en) * | 2018-04-28 | 2018-10-16 | 北京万兔思睿科技有限公司 | A kind of intelligent positioning system and method |
| CN109215285A (en) * | 2018-11-15 | 2019-01-15 | 王悦廷 | The intelligent fire-pretection system and method for fire behavior monitoring and rescue run based on WiFi probe |
-
2019
- 2019-09-20 CN CN201910893400.2A patent/CN110491090B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102036204A (en) * | 2009-09-24 | 2011-04-27 | 中兴通讯股份有限公司 | Method and system for realizing emergency location |
| US20110124338A1 (en) * | 2009-11-20 | 2011-05-26 | General Motors Llc | Delayed geospecific mobile number assignment |
| US20170046743A1 (en) * | 2012-04-05 | 2017-02-16 | Blis Media Limited | Identifying the Physical Location of Internet Service Providers |
| CN102879791A (en) * | 2012-10-09 | 2013-01-16 | 潮州市创佳电子有限公司 | System for sensing activity data of elder person based on Beidou positioning terminal |
| CN103220376A (en) * | 2013-03-30 | 2013-07-24 | 清华大学 | Method for positioning IP (Internet Protocol) by position data of mobile terminal |
| CN105338479A (en) * | 2014-06-09 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Place-based information processing method and apparatus |
| CN104202719A (en) * | 2014-08-14 | 2014-12-10 | 长安通信科技有限责任公司 | People number testing and crowd situation monitoring method and system based on position credibility |
| CN106855857A (en) * | 2015-12-08 | 2017-06-16 | 北京亿阳信通科技有限公司 | data correlation method and system |
| CN105871879A (en) * | 2016-05-06 | 2016-08-17 | 中国联合网络通信集团有限公司 | Automatic network element abnormal behavior detection method and device |
| CN106028283A (en) * | 2016-05-26 | 2016-10-12 | 上海网数信息科技有限公司 | Method and system for analyzing user offline behaviors through wireless network data |
| CN107087040A (en) * | 2017-05-25 | 2017-08-22 | 唐明伟 | The localization method of relative position, device and system |
| CN107396299A (en) * | 2017-06-01 | 2017-11-24 | 北京三快在线科技有限公司 | Localization method and device, the method for building up and device of database |
| CN108366337A (en) * | 2018-01-25 | 2018-08-03 | 中国地质大学（武汉） | A kind of indoor positioning signing in method and system based on Wi-Fi |
| CN108668221A (en) * | 2018-04-28 | 2018-10-16 | 北京万兔思睿科技有限公司 | A kind of intelligent positioning system and method |
| CN109215285A (en) * | 2018-11-15 | 2019-01-15 | 王悦廷 | The intelligent fire-pretection system and method for fire behavior monitoring and rescue run based on WiFi probe |
Non-Patent Citations (2)
| Title |
|---|
| YINGCHI MAO ，HAISHI ZHONG , HAI QI , PING PING AND XIAOFANG LI: "An Adaptive Trajectory Clustering Method Based on", 《SENSORS》 * |
| 钱志鸿，孙大洋，LEUNG VICTOR2: "无线网络定位综述", 《计算机学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112954603A (en) * | 2019-11-26 | 2021-06-11 | 中国移动通信集团甘肃有限公司 | Prediction method of motion trail of special crowd and electronic equipment |
| WO2022247263A1 (en) * | 2021-05-27 | 2022-12-01 | 展讯通信（上海）有限公司 | User state monitoring method, device and system, and computer-readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110491090B (en) | 2021-07-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102982596B (en) | Statistical method and apparatus of flow of people | |
| CN108353248B (en) | Method and apparatus for positioning mobile device | |
| US9125019B1 (en) | Positioning arrangement, method, mobile device and computer program | |
| Calabrese et al. | Real-time urban monitoring using cell phones: A case study in Rome | |
| CN106464706B (en) | The method and system in significant place is identified for the data by that can obtain from telecommunication network | |
| US7561876B2 (en) | System with user interface for network planning and mobility management optimization in a mobile communication network and method thereof | |
| CN105375995B (en) | A kind of system and its implementation of intelligent radio frequency spectrum on-line monitoring | |
| CN108683527A (en) | A kind of user's perceived depth detection method based on MR and XDR | |
| CN105760454A (en) | Method for dynamically measuring distribution density of city population in real time | |
| CN106844546A (en) | Multi-data source positional information fusion method and system based on Spark clusters | |
| CN104244307B (en) | Anomalous event reports, processing method, device, base station and management server | |
| CN104320795A (en) | Evaluation method for health degree of multidimensional wireless network | |
| CN103796227B (en) | Carry out the method and system of wireless signal covering analyzing | |
| US20140011513A1 (en) | Mobile Device Location Estimation Using Operational Data of a Wireless Network | |
| EP3815073B1 (en) | Method and system for traffic analysis | |
| CN110491090A (en) | Mid-aged population monitoring method based on mobile phone terminal | |
| CN108810808A (en) | A kind of region passenger flow saturation computation method based on mobile phone signaling data | |
| Fekih et al. | Potential of cellular signaling data for time-of-day estimation and spatial classification of travel demand: a large-scale comparative study with travel survey and land use data | |
| CN108777866A (en) | A kind of network analysis method, server and network system | |
| CN114615697B (en) | Network quality analysis method and related device | |
| CN107889210A (en) | Building method for positioning user and system | |
| CN109041070B (en) | Communication network planning method and device based on web crawler | |
| CN103188694B (en) | A kind of method and system promoting WLAN shunt effect and planning accuracy rate | |
| US20230254664A1 (en) | Method for determining close contact terminal device and apparatus | |
| Ayan et al. | Characterizing human mobility patterns during covid-19 using cellular network data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 215299 building 7, Songshe Road, Jinjiaba community, Luxu Town, Wujiang District, Suzhou City, Jiangsu Province Patentee after: Suzhou Zhibo Huineng Electronic Technology Co.,Ltd. Address before: 215299 building 7, Songshe Road, Jinjiaba community, Luxu Town, Wujiang District, Suzhou City, Jiangsu Province Patentee before: Suzhou Zhibo Huineng Electronic Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220121 Address after: 215000 east side of Badu Xiaoping Avenue, Zhenze Town, Wujiang District, Suzhou City, Jiangsu Province Patentee after: Suzhou fomat Elevator Parts Co.,Ltd. Address before: 215299 building 7, Songshe Road, Jinjiaba community, Luxu Town, Wujiang District, Suzhou City, Jiangsu Province Patentee before: Suzhou Zhibo Huineng Electronic Technology Co.,Ltd. |