CN109379703B - Disaster area judgment method based on mobile terminal networking data - Google Patents
Disaster area judgment method based on mobile terminal networking data Download PDFInfo
- Publication number
- CN109379703B CN109379703B CN201811546905.3A CN201811546905A CN109379703B CN 109379703 B CN109379703 B CN 109379703B CN 201811546905 A CN201811546905 A CN 201811546905A CN 109379703 B CN109379703 B CN 109379703B
- Authority
- CN
- China
- Prior art keywords
- mobile terminal
- online
- area
- data
- preset
- 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.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Mobile Radio Communication Systems (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to a disaster area judgment method based on mobile terminal networking data, which comprises the following steps: step S100, acquiring preset areas according to the mobile terminal networking data and respectively setting the preset areas in a first time period t11,t12) Number of online WiFi devices W in1Number of on-line base station devices B1And the number M of the online mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2Number of online base stations B2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22(ii) a Step S200, based on W1、B1、M1、W2、B2And M2Acquiring the online equipment change rate P of the preset area; step S300, if the P is smaller than a first judgment threshold value, outputting the preset area as a possible disaster area; wherein the networking data of the mobile terminal at least comprises: the WiFi equipment related data identified by the mobile terminal and the base station equipment related data connected with the mobile terminal.
Description
Technical Field
The invention relates to an information processing technology, in particular to a disaster area judgment method based on mobile terminal networking data.
Background
When a disaster (such as an earthquake, a flood, a local fire and the like) occurs, the area with the most serious damage (such as an earthquake area and the like) and the area range affected by the disaster (such as an earthquake affected area and the like) are correctly determined, so that rescue personnel and goods and materials are reasonably arranged, and the method has important meaning in disaster relief. Taking an earthquake as an example, in the prior art, the traditional earthquake monitoring technology is completed through a professional earthquake station, the defects of poor real-time performance, high cost and the like of accurate rescue exist, and only an area where the earthquake occurs can be obtained, and more detailed results such as disaster-affected groups, damage degree and the like cannot be obtained, so that the earthquake rescue requirement is difficult to meet. Patent document CN103399340A discloses a method for predicting a disaster location based on acquired vibration intensity sensing data, but this method requires frequent acquisition of sensor data of a mobile phone, and has problems of large power consumption, large difficulty in data acquisition, large data transmission amount, and slow response speed.
Disclosure of Invention
In order to solve the technical problem, the invention discloses a disaster area judgment method based on mobile terminal networking data, which comprises the following steps: step S100, acquiring preset areas according to the mobile terminal networking data and respectively setting the preset areas in a first time period t11,t12) Number of online WiFi devices W in1Number of on-line base station devices B1And the number M of the online mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2Number of online base stations B2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22(ii) a Step S200, based on W1、B1、M1、W2、B2And M2Acquiring the online equipment change rate P of the preset area; step S300, if the P is smaller than a first judgment threshold value, outputting the preset area as a possible disaster area; wherein the networking data of the mobile terminal at least comprises: the WiFi equipment related data identified by the mobile terminal and the base station equipment related data connected with the mobile terminal.
Drawings
Fig. 1 is a flowchart of a disaster area determination method based on mobile terminal networking data according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings. This description is made by way of example and not limitation to specific embodiments consistent with the principles of the invention, the description being in sufficient detail to enable those skilled in the art to practice the invention, other embodiments may be utilized and the structure of various elements may be changed and/or substituted without departing from the scope and spirit of the invention. The following detailed description is, therefore, not to be taken in a limiting sense.
The invention discloses a disaster area judgment method based on mobile terminal networking data, wherein the technical personnel in the field can understand that the mobile terminal can be an intelligent terminal such as a mobile phone, a PAD and the like, and the specific type of the mobile terminal does not influence the protection scope of the invention.
Furthermore, in the mobile terminal, an interface for acquiring the status information of the mobile terminal is provided, for example, WiFi list related data connected or scanned by the mobile terminal, GPS location information of the mobile terminal, base station information connected by the mobile terminal, etc., and those skilled in the art can understand that WiFi list related data (for example, WiFi name, MAC address of WiFi, etc.), GPS location data (for example, longitude, latitude), connected base station related data (for example, mobile country code MCC, mobile network code MNC, area code LAC, and base station number cel of the base station) of the mobile terminal, etc. can be acquired by calling the corresponding interface.
Fig. 1 is a flowchart of a disaster area determination method based on mobile terminal networking data according to the present invention, as shown in fig. 1, the method includes:
step S100, acquiring preset areas according to the mobile terminal networking data and respectively setting the preset areas in a first time period t11,t12) Number of online WiFi devices W in1Number of on-line base station devices B1And the number M of the online mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2On-lineNumber of base stations B2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22Wherein the networking data of the mobile terminal at least comprises: the WiFi equipment related data identified by the mobile terminal and the base station equipment related data connected with the mobile terminal.
According to the invention, the predetermined area is L1*L2Or a plurality of adjacent or non-adjacent rectangular grid areas, in particular, the rectangular grid areas can be obtained by rectangular dividing the map, wherein the L1 and L2 can be self-defined, preferably L21＝L2150 meters, or the preset area is a geo-fenced area.
Preferably, the WiFi device related data identified by the mobile terminal includes: a MAC address of each identified WiFi, a name of each identified WiFi, and/or a signal strength of each identified WiFi; the data related to the base station equipment connected with the mobile terminal comprises: the mobile equipment country code MCC, mobile equipment network code MNC, area code LAC and/or base station number CELLID of the base station.
According to the invention, W1、B1、M1、W2、B2And M2Based on the mobile terminal networking data, the unique identification ID of the mobile terminal, the data reporting time determination, or W1、B1、M1、W2、B2And M2And determining based on the mobile terminal networking data, the unique identification ID of the mobile terminal, the GPS data of the mobile terminal and the data reporting time. Preferably, the mobile terminal networking data, the unique identification ID of the mobile terminal, and the GPS data and/or data reporting time of the mobile terminal are collected and reported by an SDK integrated in the mobile terminal APP, or collected and reported by the mobile terminal system. Furthermore, the SDK or the mobile terminal system reports the collected data according to a preset frequency, where the preset frequency may be set by user, and preferably, the preset frequency is 1 time/second, that is, the data reporting time interval is 1 second.
Specifically, the number W of the online WiFi devices1For the preset region in the first time period t11,t12) Number of non-duplicate WiFi present; number of on-line base station devices B1For the preset region in the first time period t11,t12) The number of non-repeating base stations present in; number of on-line mobile terminals M1For the preset region in the first time period t11,t12) The number of non-duplicated mobile terminals present in. Likewise, the number of online WiFi devices W2For the preset region in the second time period t21,t22) Number of non-duplicate WiFi present; number of on-line base station devices B2For the preset region in the second time period t21,t22) The number of non-repeating base stations present in; number of on-line mobile terminals M2For the preset region in the second time period t21,t22) The number of non-duplicated mobile terminals present in. Further, the number of online WiFi devices, the number of online base station devices, and the number of online mobile terminals in the preset area are obtained by combining the preset area and the corresponding relationship between the WiFi devices and the base station devices in the preset area. In the invention, when the mobile terminal reports the networking data, the WiFi equipment and the base station equipment reported by the mobile terminal are on line, and the mobile terminal is also on line at the moment. Specifically, in an embodiment of the present invention, the corresponding relationship between the preset area and the WiFi device and the base station device therein may be obtained in a manual setting manner, and in another embodiment of the present invention, the corresponding relationship is obtained by aggregating WiFi device related data reported by the mobile terminal, connected base station device related data, and GPS data. Those skilled in the art will appreciate that there are many ways to store the correspondence relationship, such as tables, and the above examples are only exemplary and are not intended to be the only examples limiting the scope of the present invention.
In the invention, according to the networking data reported by the mobile terminal, the number of non-repetitive WiFi devices and the number of non-repetitive base station devices in the first time period and/or the second time period of the preset area can be obtained by searching the corresponding relation between the preset area and the WiFi devices and the base station devices in the preset area, and the number of non-repetitive mobile terminals in the first time period and/or the second time period of the preset area can be obtained based on the one-to-one corresponding relation between the unique identification ID of the mobile terminal and the WiFi devices or the base station devices. The WiFi equipment can be deduplicated based on the MAC address and the WiFi name of the WiFi equipment, the base station equipment can be deduplicated according to information such as a base station number, and the mobile terminal can be deduplicated according to the unique identification ID of the mobile terminal.
According to the invention, T ═ T12-t11＝t22-t21The setting can be customized, and the value of T is preferably 1 minute.
Step S200, based on W1、B1、M1、W2、B2And M2And acquiring the online equipment change rate P of the preset area. Wherein the online device change rate P reflects a relative change of the preset area in two different time periods for different types of online devices, e.g., P ═ W2+B2+M2)/(W1+B1+M1) In the preferred embodiment of the present invention,
and step S300, if the P is smaller than a first judgment threshold value, outputting the preset area as a possible disaster area. In this step, the first determination threshold value ranges from [0.35 to 0.45 ].
As can be seen from the above disclosure, according to the method, the number of online devices in two adjacent time periods in the preset area is calculated by using the networking data of the mobile terminal, and the online device change rate obtained according to the number of online devices is compared with the judgment threshold value to judge whether the preset area is a disaster place, so that the sensitive reactions of the WiFi devices and the mobile terminal devices to the disaster are well utilized, for example, when the disaster occurs, people escape from the signal radiation range of the WiFi devices, or the WiFi devices are damaged, and the online number of the WiFi devices and the online number of the mobile terminal after the disaster occurs are all suddenly reduced, and therefore, the method has high accuracy in judging the disaster occurrence. In addition, the power consumption of the data reported by the mobile terminal is low, and the terminal user can conveniently use the mobile terminal for self rescue.
According to one embodiment of the invention, said steps S100-S300 are replaced by the following steps: step S1, obtaining the preset areas according to the mobile terminal networking data and respectively setting the preset areas in the first time period t11,t12) Number of online WiFi devices W in1And the number M of on-line mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22The networking data of the mobile terminal at least comprises: WiFi equipment related data identified by the mobile terminal; step S2, based on W1、M1、W2And M2Acquiring the online equipment change rate P of the preset area; and step S3, if P is smaller than the first judgment threshold value, outputting the preset area as a possible disaster area.
According to an embodiment of the present invention, the step S300 may further include the step S400: if the preset area is in the second time period t21,t22) If the moving speed V of the mobile terminal in the area is greater than a second judgment threshold value, outputting the preset area as a determined disaster area, wherein,
Virepresenting an average scalar speed of an ith online mobile terminal within the second time period,
in one embodiment of the present invention,
if RTim≠RTi1In which IBimFor the ith mobile terminal at the timeCarving RTimThe obtained reported data, IBi1For the ith mobile terminal at time RTi1The obtained reported data, RTimReporting time, RT, for the last datai1Reporting time for the first data, D (IB)im,IBi1) Represents IBimGPS data and IB ini1Distance between GPS data in (1), T (RT)im,RTi1) Represents RTimAnd RTi1A time difference of (a); in a preferred embodiment of the present invention,
wherein
If j is 2. ltoreq. m-1 and T (IB)ij,IBi(j-1)) TR is SDK or data reporting interval of the mobile terminal system, [ IB ═ TRi1,IBi2,…,IBim]The reported data, IB, obtained by the ith mobile terminal according to the data reporting time in the second time periodikAt least comprises networking data, mobile terminal GPS data, mobile terminal unique identification ID and data reporting time, wherein k is more than or equal to 1 and less than or equal to m, m is the reported data quantity acquired by the ith mobile terminal in the second time period, and D (IB)ij,IBi(j-1)) Represents IBijGPS data and IB ini(j-1)Distance between GPS data in (1), T (IB)ij,IBi(j-1)) Represents IBijData reporting time and IB in (intermediate B)i(j-1)The difference between the data reporting times in (1). Preferably, the value range of the second judgment threshold is [3 m/s, 5 m/s]。
As can be seen from the above, when the preset area is determined as a disaster area, by further determining the average moving speed of the mobile terminal in the area, the moving speed of the person in the area can be determined, so as to further help to determine whether the disaster area is a true disaster area, rather than a phenomenon of sudden decrease of the online equipment due to power outage or the like, and thus, the accuracy of disaster determination can be improved.
According to another embodiment of the present invention, the step S400 may be followed by a step S500: if the change rate Q of the outdoor number of the mobile terminals in the preset area is smaller than a third judgment threshold value, outputting an early warning signal of the preset area, wherein Q is O1/O2Said O is1Is the first time period [ t11,t12) Number of outdoor mobile terminals obtained internally, O2For the second time period [ t21,t22) And the number of the outdoor mobile terminals obtained internally. In this step, it is determined whether the mobile terminal is indoors or outdoors based on the WiFi identification related data last reported by the ith mobile terminal in the first time period, and it is determined whether the mobile terminal is indoors or outdoors based on the WiFi identification related data last reported by the ith mobile terminal in the second time period. Specifically, if the ith mobile terminal is connected with WiFi in the last identification WiFi data reported by the ith mobile terminal or the scanning identification WiFi signal strength is greater than or equal to the first strength threshold, the ith mobile terminal is considered to be located indoors, and if the ith mobile terminal is disconnected from WiFi in the last identification WiFi data reported by the ith mobile terminal or the scanning identification WiFi signal strength is less than the first strength threshold, the ith mobile terminal is considered to be located outdoors. Preferably, the first intensity threshold has a value in the range of [ -80dbm, -65dbm [ -80dbm [ -65dbm [ ]]. Preferably, in the step, the value range of the third determination threshold is [0,0.1]]。
Further, the step S500 may further obtain a final position of the mobile terminal, so as to implement rescue according to the final position. Specifically, in this step, the last GPS location data of the mobile terminal in the second time period in the preset area may be aggregated, so as to estimate a place where people gather after a disaster occurs, thereby implementing quick and accurate rescue.
According to the above content, by judging the proportion of the number of the outdoor mobile terminals in the preset area in different time periods, the accuracy of disaster area judgment can be further improved, and misjudgment caused by rapid indoor movement of the mobile terminals is avoided.
Furthermore, in an embodiment of the present invention, the invention also discloses a server for determining a disaster, which includes a processor and a memory storing a computer program, wherein the processor executes the computer program to realize the steps S100-S500, so as to utilize resource advantages and computational advantages of the server.
Moreover, other implementations of the invention will be apparent to those skilled in the art from consideration of the specification of the invention disclosed herein. The embodiments and/or aspects of the embodiments can be used in the systems and methods of the present invention alone or in any combination. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (10)
1. A disaster area judgment method based on mobile terminal networking data is characterized by comprising the following steps:
step S100, acquiring preset areas according to the mobile terminal networking data and respectively setting the preset areas in a first time period t11,t12) Number of online WiFi devices W in1Number of on-line base station devices B1And the number M of the online mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2Number of online base stations B2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22；
Step S200, based on W1、B1、M1、W2、B2And M2Acquiring the change rate P of the online equipment in the preset area, wherein the change rate P of the online equipment reflects the relative change condition of different types of online equipment in the preset area in two different time periods;
step S300, if the P is smaller than a first judgment threshold value, outputting the preset area as a possible disaster area;
wherein the networking data of the mobile terminal comprises at least: the WiFi equipment related data identified by the mobile terminal and the base station equipment related data connected with the mobile terminal.
2. The method according to claim 1, wherein the predetermined area is a rectangular grid area of L x L, L preferably being 150 meters, or the predetermined area is a geo-fenced area.
3. The determination method according to claim 1, wherein the first determination threshold value ranges from [0.35 to 0.45 ].
4. The method according to claim 1, wherein W is1、B1、M1、W2、B2And M2Based on the mobile terminal networking data, the unique identification ID of the mobile terminal, the data reporting time determination, or W1、B1、M1、W2、B2And M2And determining based on the mobile terminal networking data, the unique identification ID of the mobile terminal, the GPS data of the mobile terminal and the data reporting time.
5. The method according to claim 4, wherein the mobile terminal networking data, the mobile terminal unique identifier ID, the mobile terminal GPS data and/or the data reporting time are collected by an SDK integrated in the mobile terminal APP.
6. The judging method according to claim 5, wherein the step S300 is further followed by a step S400 of: if the preset area is in the second time period t21,t22) If the average moving speed V of the inner online mobile terminal is greater than a second judgment threshold value, outputting the preset area as a determined disaster area, wherein
ViRepresenting the ith online mobile terminal within the second time periodThe average of the scalar speed is calculated,
7. the determination method according to claim 6, wherein the second determination threshold value ranges from [3 m/s, 5 m/s ].
8. The judging method according to any one of claims 6-7, further comprising, after the step S400, a step S500 of: if the change rate Q of the outdoor number of the mobile terminals in the preset area is smaller than a third judgment threshold value, outputting an early warning signal of the preset area, wherein Q is O1/O2Said O is1For the preset region in a first time period t11,t12) Number of outdoor mobile terminals obtained internally, O2For the preset region for a second time period t21,t22) And the number of the outdoor mobile terminals obtained internally.
9. The determination method according to claim 8, wherein a value range of the third determination threshold is [0,0.1 ].
10. The method according to any one of claims 1 to 9, wherein the steps S100 to S300 are replaced by the steps of:
step S1, obtaining the preset areas according to the mobile terminal networking data and respectively setting the preset areas in the first time period t11,t12) Number of online WiFi devices W in1And the number M of on-line mobile terminals1And a second time period t21,t22) Number of online WiFi devices W in2And the number M of on-line mobile terminals2Wherein t is11<t12≤t21<t22The networking data of the mobile terminal at least comprises: WiFi equipment related data identified by the mobile terminal;
step S2, based on W1、M1、W2And M2Acquiring the change rate P of the online equipment in the preset area, wherein the change rate P of the online equipment reflects the relative change condition of different types of online equipment in the preset area in two different time periods;
and step S3, if P is smaller than the first judgment threshold value, outputting the preset area as a possible disaster area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811546905.3A CN109379703B (en) | 2018-12-18 | 2018-12-18 | Disaster area judgment method based on mobile terminal networking data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811546905.3A CN109379703B (en) | 2018-12-18 | 2018-12-18 | Disaster area judgment method based on mobile terminal networking data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109379703A CN109379703A (en) | 2019-02-22 |
| CN109379703B true CN109379703B (en) | 2020-09-08 |
Family
ID=65374191
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811546905.3A Active CN109379703B (en) | 2018-12-18 | 2018-12-18 | Disaster area judgment method based on mobile terminal networking data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109379703B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2023544566A (en) * | 2020-09-29 | 2023-10-24 | 華為技術有限公司 | Methods and equipment for using unlicensed spectrum |
| CN112423224B (en) * | 2020-11-19 | 2022-07-01 | 杭州云深科技有限公司 | Residence type identification method based on wifi characteristic data, electronic device and medium |
| CN112492615B (en) * | 2020-12-02 | 2023-01-17 | 杭州粒合信息科技有限公司 | Remote communication method, system, equipment and readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202406234U (en) * | 2012-01-06 | 2012-08-29 | 北京盈想东方科技发展有限公司 | Video/audio transmission system for maritime satellite |
| CN106455135A (en) * | 2016-10-31 | 2017-02-22 | 吉林大学 | Distributed node seismometer network communication method |
| CN107104855A (en) * | 2017-04-24 | 2017-08-29 | 国网福建省电力有限公司 | A kind of power information acquisition terminal online hours, the statistical method of online rate |
| CN107422369A (en) * | 2017-07-27 | 2017-12-01 | 北京信息科技大学 | A kind of Areas of High Earthquake Intensity area quick judgment method based on communication network and equipment fault |
| CN108012309A (en) * | 2017-11-28 | 2018-05-08 | 北京锐安科技有限公司 | People flow rate statistical method, apparatus and system based on WiFi |
| CN108307488A (en) * | 2016-09-10 | 2018-07-20 | 湖南移商动力网络技术有限公司 | A kind of disaster early warning system design method based on wireless sensor network |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102024560B1 (en) * | 2016-12-13 | 2019-09-24 | 한국전자통신연구원 | Method for providing information for supporting rescue in disaster environment and apparatus for the same |
-
2018
- 2018-12-18 CN CN201811546905.3A patent/CN109379703B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202406234U (en) * | 2012-01-06 | 2012-08-29 | 北京盈想东方科技发展有限公司 | Video/audio transmission system for maritime satellite |
| CN108307488A (en) * | 2016-09-10 | 2018-07-20 | 湖南移商动力网络技术有限公司 | A kind of disaster early warning system design method based on wireless sensor network |
| CN106455135A (en) * | 2016-10-31 | 2017-02-22 | 吉林大学 | Distributed node seismometer network communication method |
| CN107104855A (en) * | 2017-04-24 | 2017-08-29 | 国网福建省电力有限公司 | A kind of power information acquisition terminal online hours, the statistical method of online rate |
| CN107422369A (en) * | 2017-07-27 | 2017-12-01 | 北京信息科技大学 | A kind of Areas of High Earthquake Intensity area quick judgment method based on communication network and equipment fault |
| CN108012309A (en) * | 2017-11-28 | 2018-05-08 | 北京锐安科技有限公司 | People flow rate statistical method, apparatus and system based on WiFi |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109379703A (en) | 2019-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Noar et al. | The development of smart flood monitoring system using ultrasonic sensor with blynk applications | |
| CN109379703B (en) | Disaster area judgment method based on mobile terminal networking data | |
| US20210021956A1 (en) | System and Method for Determining a Location Area of a Mobile User | |
| CN107070961B (en) | Hot spot area determination method and device based on geographic position data | |
| US10139471B2 (en) | Supporting a collaborative collection of data | |
| RU2571160C2 (en) | System and method of gas sensor control | |
| JP5519872B2 (en) | System and method for locating missing nodes in a network | |
| TWI620154B (en) | User equipment, earthquake alert server and earthquake alert method thereof | |
| US20190004023A1 (en) | Tracking exposure to air pollution | |
| CN106211201B (en) | Method and apparatus for determining mobile network's matter difference region | |
| CN107343291B (en) | Antenna feeder system detection method, device and base station | |
| JP7073952B2 (en) | Data collection system and data collection method | |
| CN108377201A (en) | Network Abnormal cognitive method, device, equipment and computer readable storage medium | |
| CN109005514B (en) | Backfill method and device of user position information, terminal equipment and storage medium | |
| US20210172736A1 (en) | Supporting a determination of floor heights | |
| US10200965B2 (en) | Analysis and monitoring of a positioning infrastructure | |
| CN110059919B (en) | Population anomaly information detection method and system based on big data | |
| KR101738745B1 (en) | A Method for a Crime Prediction by Estimating a Cell Value and A System for the Same | |
| CN106792708B (en) | A kind of pseudo-base station recognition methods, system and server | |
| CN109451432B (en) | Method for early warning based on mobile terminal position data | |
| CN110675206A (en) | Group rental discovery method, device, equipment and computer readable medium | |
| KR101627788B1 (en) | Method of monitoring fire or air quality using IoT/Cloud/Analytics/Mobile in real time | |
| JP2015100043A (en) | Device and method for estimating deterioration of area quality | |
| CN109587629B (en) | Sudden disaster judgment method based on WiFi (Wireless Fidelity) position data of mobile terminal | |
| KR101384133B1 (en) | Method for Identifying failure data in sensor network and sensor network system using the same |
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 |
Address after: 418, room 310012, A West, building 525, Xixi Road, Xihu District, Zhejiang, Hangzhou Patentee after: Daily interactive Co., Ltd Address before: 418, room 310012, A West, building 525, Xixi Road, Xihu District, Zhejiang, Hangzhou Patentee before: ZHEJIANG MEIRI INTERDYNAMIC NETWORK TECHNOLOGY Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |