CN113490140B - Method for detecting abnormal position of group member - Google Patents
Method for detecting abnormal position of group member Download PDFInfo
- Publication number
- CN113490140B CN113490140B CN202110757155.XA CN202110757155A CN113490140B CN 113490140 B CN113490140 B CN 113490140B CN 202110757155 A CN202110757155 A CN 202110757155A CN 113490140 B CN113490140 B CN 113490140B
- Authority
- CN
- China
- Prior art keywords
- abnormal
- distance
- equipment terminal
- position information
- equipment
- 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
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
- H04W4/08—User group management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a method for detecting abnormal positions of group members, which is characterized by comprising the following steps: the equipment terminal collects geographic position information, the geographic position information comprises the current geographic position of the equipment terminal, and the equipment terminal sends the geographic position information to the analysis platform. The analysis step: the analysis platform gathers all the geographical position information of the equipment terminals in the group acquired in the last analysis time every preset analysis time, and calculates the shortest distance value between any two equipment terminals in the analysis time. Judging: and counting the number of the shortest distance values between any one equipment terminal and other equipment terminals which are larger than a preset distance threshold as an abnormal distance number, comparing the abnormal distance number with an abnormal constant threshold, and judging the equipment terminal as the equipment terminal with abnormal position when the abnormal distance number is larger than the abnormal constant threshold. The method can be used for detecting abnormal positions of group members with unfixed places.
Description
Technical Field
The invention relates to the technical field of position detection, in particular to a method for detecting abnormal positions of group members.
Background
In some situations, it is desirable to detect the position of a person or animal, for example, to prevent a child from getting lost, and to allow the child to carry a position detection device to detect the position of the child in real time, and to alert when the position of the child is abnormal. Sometimes, it is also required to detect positional abnormality of all members of a group, and there are mainly two detection techniques of the group. One method of detecting the abnormal location of group members is the geofence technique, which allows the members to wear detection devices and alert when the devices enter or leave the geofence area. Another method for detecting the abnormal positions of group members is to analyze the historical positions and the current positions of the equipment by using big data technology to judge whether the current positions are abnormal or not.
However, the complexity of the abnormal position detection requirement is not fully considered by the two technologies, and the requirements are not met by the two technologies because the abnormal position detection requirement is not fully considered by the two technologies, such as a group with unfixed offline activity places, e.g. a tourist group, a student extracurrant interest group, and the like, and members in the group are difficult to detect the position abnormality by temporarily setting a geofence or by historical positions due to unfixed activity places each time.
Disclosure of Invention
In view of the shortcomings of the prior art, it is an object of the present invention to provide a method for detecting abnormal positions of group members, which can be used for detecting abnormal positions of group members not fixed in an event.
In order to achieve the above purpose, the present invention provides the following technical solutions: a method for detecting abnormal positions of group members provides an analysis platform and a plurality of equipment terminals, wherein the equipment terminals are worn by persons in the group;
the collecting step comprises the steps that the equipment terminal collects geographic position information, wherein the geographic position information comprises the current geographic position of the equipment terminal, and the equipment terminal sends the geographic position information to the analysis platform;
the analysis step comprises the steps that the analysis platform gathers all geographical position information of the equipment terminals in the group acquired in the last analysis time every preset analysis time, calculates the shortest distance value between any two equipment terminals in the analysis time, and enters a judgment step;
the judging step includes counting the number of the shortest distance value between any one equipment terminal and other equipment terminals which is larger than a preset distance threshold as an abnormal distance number, comparing the abnormal distance number with a preset abnormal constant threshold, and judging that the equipment terminal is an equipment terminal with abnormal position when the abnormal distance number is larger than the abnormal constant threshold.
As a further improvement of the present invention, the calculation of the shortest distance value between two equipment terminals in the analysis step specifically includes a dictionary construction sub-step, a duplicate removal sub-step, a calculation sub-step, and a shortest distance value determination sub-step;
the dictionary construction substep comprises the steps of storing the geographic position information by using a Geohash algorithm, and constructing a distance dictionary by using two geographic positions as keys and the distance between the two geographic positions as a value, wherein initial data of the distance dictionary is empty;
the de-duplication substep includes counting the geographical position information of the equipment terminal of the distance to be calculated, and when the equipment terminal has a plurality of pieces of same geographical position information, only one piece of geographical position information is reserved;
the calculating substep includes sequentially obtaining each geographic position of one equipment terminal, sequentially obtaining each geographic position of another equipment terminal for one geographic position of the equipment terminal, and searching corresponding values in the distance dictionary by taking two geographic positions of two equipment terminals as keys; if the corresponding value is searched, the value is used as an approximate distance value; if the corresponding value cannot be searched, calculating the approximate distance value according to the two geographic positions through a preset distance algorithm, and storing the approximate distance value as the distance between the two geographic positions into the distance dictionary;
the shortest distance value determining substep includes counting all approximate distance values of the two equipment terminals, and taking the minimum value as the shortest distance value.
As a further improvement of the invention, the distance algorithm is configured to:
wherein S is the approximate distance value; r is earth half price; lng1 and Lng2 respectively represent longitudes of two geographic positions at rectangular center points corresponding to the Geohash; lat1 and Lat2 respectively represent the latitudes of two geographic positions at rectangular center points corresponding to the Geohash; lng1, lng2, lat1 and Lat2 are obtained according to the geographic position information.
As a further improvement of the invention, the step of collecting further comprises increasing a time interval between two adjacent times of collecting the geographical position information when the equipment terminal is connected with wifi.
As a further improvement of the present invention, the step of collecting further includes increasing a time interval between two adjacent collecting of the geographical location information when the electric quantity of the device terminal is lower than a preset electric quantity threshold and the device terminal is not in a charging state.
As a further improvement of the present invention, the collecting step further includes collecting the geographical location information when the device terminal switches the wifi of the connection, and collecting the geographical location information only once when the device terminal is connected at the beginning when the device terminal is always connected to the same wifi.
As a further improvement of the present invention, the sending, by the device terminal, the geographical location information to the analysis platform in the collecting step is specifically: and the equipment terminal intensively transmits all the geographical position information acquired after the last successful transmission to the analysis platform at intervals of preset transmission time.
As a further improvement of the invention, the analyzing step further comprises the step that after the analyzing platform gathers the geographical position information, the geographical position information of the moment between the two adjacent acquisition moments is supplemented through a preset interpolation algorithm.
As a further improvement of the invention, the interpolation algorithm is a linear interpolation algorithm.
As a further improvement of the present invention, the judging step further includes comparing the shortest distance value with a distance threshold, if the shortest distance value is greater than the distance threshold, marking the shortest distance value as an abnormal distance value, and counting the number of the abnormal distance values of the equipment terminal as an abnormal distance number.
The invention has the beneficial effects that: and judging whether the equipment terminals worn by the members in the group are equipment terminals with abnormal positions or not once every other analysis time, so that whether the members in the group deviate from the group or not and the positions of the members are abnormal can be obtained. The abnormality in the position of the equipment terminals is determined based on the mutual positional relationship of the equipment terminals in the group, and can be used for detecting the abnormal position of group members whose places of activity are not fixed.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
fig. 2 is a schematic diagram of a calculation flow of the shortest distance value.
Detailed Description
The invention will now be described in further detail with reference to the drawings and examples.
The method for detecting the abnormal positions of the group members in the embodiment provides an analysis platform and a plurality of equipment terminals, wherein the analysis platform is a background server, the equipment terminals are mobile terminals such as mobile phones, tablet computers, intelligent bracelets and intelligent watches, and the equipment terminals are worn by the personnel in the group. The analysis platform is in communication connection with each equipment terminal. Referring to fig. 1, the method includes an acquisition step, an analysis step, and a judgment step.
The collecting step includes the equipment terminal collecting geographical position information, wherein the geographical position information includes the current geographical position of the equipment terminal. Because frequent collection of equipment geographical position can lead to terminal equipment to lose power too fast, in order to reduce the problem that equipment that real-time uninterrupted collection of geographical position information brought loses power too fast, the time interval about adjacent twice collection can set as: when the equipment terminal is connected with wifi or when the electric quantity of the equipment terminal is lower than a preset electric quantity threshold value and the equipment terminal is not in a charging state, the time interval for collecting the geographic position information twice is increased. It can also be set as: when the equipment terminal is connected with the same wifi all the time, the geographic position information is collected only once when the equipment terminal is connected at the beginning. Because the coverage area of wifi hotspots is generally not large, the time interval for acquiring the geographical position information twice is increased or only once for one wifi, and the influence on analysis results is not large.
And the equipment terminal transmits all the geographical position information sets acquired after the last successful transmission and the equipment unique identifier of the equipment terminal to the analysis platform at intervals of preset transmission time, wherein the equipment unique identifier is a MAC address or an SN number. The geographical position information acquired for many times in a short time is reported to the analysis platform in a concentrated mode, so that network requests can be reduced, and the equipment terminal is prevented from being powered down too fast.
The analysis step comprises the steps that the analysis platform gathers all the geographical position information of the equipment terminals in the group, which is acquired in the last analysis time, every preset analysis time, and supplements the geographical position information of the moment between the adjacent two acquisition moments of each equipment terminal through a preset linear interpolation algorithm. And calculating the shortest distance value between any two equipment terminals in the analysis time. Referring to fig. 2, the calculation of the shortest distance value between two equipment terminals specifically includes a dictionary construction sub-step, a deduplication sub-step, a calculation sub-step, and a shortest distance value determination sub-step.
The dictionary construction substep comprises the steps of storing geographic position information by using a Geohash algorithm, taking two geographic positions as keys and the distance between the two geographic positions as a value, constructing a distance dictionary, wherein initial data of the distance dictionary are empty, and gradually enriching the data in the distance dictionary through a calculation substep.
The de-duplication substep includes counting the geographical location information of the device terminal for which the distance is to be calculated, and when there are multiple pieces of the same geographical location information, only one piece is reserved. The duplicate geographic position information acquired by each equipment terminal in the analysis time is subjected to duplicate removal, so that subsequent duplicate calculation is avoided, the calculated amount is reduced, and the calculation processing efficiency is improved.
The calculating sub-step comprises the steps of sequentially obtaining each geographic position of one equipment terminal, sequentially obtaining each geographic position of the other equipment terminal aiming at one geographic position of the equipment terminal, and searching corresponding values in a distance dictionary by taking two geographic positions of two equipment terminals as keys; if the corresponding value is searched, the value is used as an approximate distance value; if the corresponding value cannot be searched, calculating an approximate distance value according to the two geographic positions through a preset distance algorithm, and storing the approximate distance value as the distance between the two geographic positions into a distance dictionary.
The distance algorithm is configured to:
wherein S is an approximate distance value; r is earth half price; lng1 and Lng2 respectively represent longitudes of two geographic positions at rectangular center points corresponding to the Geohash; lat1 and Lat2 respectively represent the latitudes of two geographic positions at rectangular center points corresponding to the Geohash; lng1, lng2, lat1 and Lat2 are obtained according to the geographic position information.
The shortest distance value determining sub-step comprises counting all approximate distance values of the two equipment terminals, and taking the minimum value as the shortest distance value.
The judging step comprises the steps of comparing the shortest distance value with a preset distance threshold, marking the shortest distance value as an abnormal distance value if the shortest distance value is larger than the distance threshold, counting the number of the abnormal distance values of the equipment terminal as an abnormal distance number, comparing the abnormal distance number with the preset abnormal constant threshold, and judging the equipment terminal as the equipment terminal with abnormal position when the abnormal distance number is larger than the abnormal constant threshold. When the equipment terminal with abnormal position is in communication connection with the analysis platform, the analysis platform sends a position deviation reminding signal to the equipment terminal so that a member carrying the equipment terminal can perceive that the position of the member is deviated from other members of the group.
For example, 8 members in 1 group wear equipment terminals, each equipment terminal sends geographical position information to an analysis platform, the analysis time of the analysis platform is 1 day, the analysis platform gathers all the geographical position information sent by the 8 equipment terminals once every other day, and the analysis platform firstly performs de-duplication on the geographical position information of each equipment terminal to obtain de-duplicated geographical position information.
The analysis platform selects one geographic position of the equipment terminal A and the other equipment terminal B through the geographic position information, brings the two geographic positions into a distance dictionary, and inquires to obtain a corresponding value, wherein the value is an approximate distance value of the two geographic positions. If the values corresponding to the two geographic positions are not stored in the distance dictionary, calculating to obtain an approximate distance value through a distance algorithm, taking the two geographic positions as keys, taking the calculated approximate distance value as a value, and storing the value into the distance dictionary.
The analysis platform brings one geographic position of the equipment terminal A into a distance dictionary with each geographic position of the equipment terminal B in sequence or calculates the geographic position of the equipment terminal B through a distance algorithm to obtain a plurality of approximate distance values, and then brings the other geographic position of the equipment terminal A into the distance dictionary with each geographic position of the equipment terminal B in sequence or calculates the geographic position of the equipment terminal B through the distance algorithm to obtain a plurality of approximate distance values until all geographic positions of the equipment terminal A are brought into the distance dictionary or calculated through the distance algorithm, and then sequences all the approximate distance values obtained between the equipment terminal A and the equipment terminal B according to the size, and the minimum value is selected as the shortest distance value between the equipment terminal A and the equipment terminal B. And when the shortest distance value is larger than a preset distance threshold value, marking the shortest distance value as an abnormal distance value. The shortest distance value between any two equipment terminals is calculated through the mode, and whether each shortest distance value is an abnormal distance value is judged.
And counting the number of the shortest distance values marked as abnormal distance values between the equipment terminal and the other 7 equipment terminals as the abnormal distance number for each equipment terminal, and if the abnormal distance number is larger than a preset abnormal constant threshold value, the corresponding equipment terminal is the equipment terminal with abnormal position.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (10)
1. A method for detecting abnormal positions of group members, which provides an analysis platform and a plurality of equipment terminals, wherein the equipment terminals are worn by the group members, and is characterized in that: the method comprises an acquisition step, an analysis step and a judgment step;
the collecting step comprises the steps that the equipment terminal collects geographic position information, wherein the geographic position information comprises the current geographic position of the equipment terminal, and the equipment terminal sends the geographic position information to the analysis platform;
the analysis step comprises the steps that the analysis platform gathers all geographical position information of the equipment terminals in the group acquired in the last analysis time every preset analysis time, calculates the shortest distance value between any two equipment terminals in the analysis time, and enters a judgment step;
the judging step includes counting the number of the shortest distance value between any one equipment terminal and other equipment terminals which is larger than a preset distance threshold as an abnormal distance number, comparing the abnormal distance number with a preset abnormal constant threshold, and judging that the equipment terminal is an equipment terminal with abnormal position when the abnormal distance number is larger than the abnormal constant threshold.
2. A method of detecting an abnormal position of a group member according to claim 1, wherein: the calculation of the shortest distance value between two equipment terminals in the analysis step specifically comprises a dictionary construction sub-step, a duplicate removal sub-step, a calculation sub-step and a shortest distance value determination sub-step;
the dictionary construction substep comprises the steps of storing the geographic position information by using a Geohash algorithm, and constructing a distance dictionary by using two geographic positions as keys and the distance between the two geographic positions as a value, wherein initial data of the distance dictionary is empty;
the de-duplication substep includes counting the geographical position information of the equipment terminal of the distance to be calculated, and when the equipment terminal has a plurality of pieces of same geographical position information, only one piece of geographical position information is reserved;
the calculating substep includes sequentially obtaining each geographic position of one equipment terminal, sequentially obtaining each geographic position of another equipment terminal for one geographic position of the equipment terminal, and searching corresponding values in the distance dictionary by taking two geographic positions of two equipment terminals as keys; if the corresponding value is searched, the value is used as an approximate distance value; if the corresponding value cannot be searched, calculating the approximate distance value according to the two geographic positions through a preset distance algorithm, and storing the approximate distance value as the distance between the two geographic positions into the distance dictionary;
the shortest distance value determining substep includes counting all approximate distance values of the two equipment terminals, and taking the minimum value as the shortest distance value.
3. A method of detecting an abnormal position of a group member according to claim 2, wherein: the distance algorithm is configured to:
wherein S is the approximate distance value; r is the earth radius; lng1 and Lng2 respectively represent longitudes of two geographic positions at rectangular center points corresponding to the Geohash; lat1 and Lat2 respectively represent the latitudes of two geographic positions at rectangular center points corresponding to the Geohash; lng1, lng2, lat1 and Lat2 are obtained according to the geographic position information.
4. A method of detecting an abnormal position of a group member according to claim 1, wherein: the collecting step further comprises the step of increasing the time interval for collecting the geographic position information twice when the equipment terminal is connected with wifi.
5. A method of detecting an abnormal position of a group member according to claim 1, wherein: the step of collecting further comprises the step of increasing the time interval for collecting the geographical position information twice when the electric quantity of the equipment terminal is lower than a preset electric quantity threshold and the equipment terminal is not in a charging state.
6. A method of detecting an abnormal position of a group member according to claim 1, wherein: the collecting step further comprises the step of collecting the geographic position information when the equipment terminal is connected with the wifi in a switching mode, and the geographic position information is collected only once when the equipment terminal is connected with the same wifi all the time.
7. A method of detecting an abnormal position of a group member according to claim 1, wherein: in the step of collecting, the device terminal sends the geographical location information to the analysis platform specifically includes: and the equipment terminal intensively transmits all the geographical position information acquired after the last successful transmission to the analysis platform at intervals of preset transmission time.
8. A method of detecting an abnormal position of a group member according to any one of claims 4 to 6, wherein: the analysis step further comprises the step that after the analysis platform gathers the geographical position information, the geographical position information of the moment between the two adjacent acquisition moments is supplemented through a preset interpolation algorithm.
9. A method of detecting an abnormal position of a group member according to claim 8, wherein: the interpolation algorithm is a linear interpolation algorithm.
10. A method of detecting an abnormal position of a group member according to claim 1, wherein: and the judging step further comprises comparing the shortest distance value with a distance threshold, marking the shortest distance value as an abnormal distance value if the shortest distance value is larger than the distance threshold, and counting the number of the abnormal distance values of the equipment terminal as an abnormal distance number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757155.XA CN113490140B (en) | 2021-07-05 | 2021-07-05 | Method for detecting abnormal position of group member |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110757155.XA CN113490140B (en) | 2021-07-05 | 2021-07-05 | Method for detecting abnormal position of group member |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113490140A CN113490140A (en) | 2021-10-08 |
| CN113490140B true CN113490140B (en) | 2023-07-07 |
Family
ID=77940809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110757155.XA Active CN113490140B (en) | 2021-07-05 | 2021-07-05 | Method for detecting abnormal position of group member |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113490140B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007208334A (en) * | 2006-01-30 | 2007-08-16 | Nec Access Technica Ltd | Mobile communication system, and communication control method and communication control program used for same |
| CN101959124A (en) * | 2010-05-25 | 2011-01-26 | 宇龙计算机通信科技(深圳)有限公司 | Terminal position prompt method, mobile terminal, server and system |
| CN102521486A (en) * | 2011-11-28 | 2012-06-27 | 苏州迈普信息技术有限公司 | Method for automatically judging whether tourists fall behind |
| CN103379433A (en) * | 2012-04-27 | 2013-10-30 | 华为终端有限公司 | Method and device for giving alarm through distance measurement |
| CN103593729A (en) * | 2013-10-28 | 2014-02-19 | 苏州海客科技有限公司 | Dynamical grouping method for travelling |
| CN104427468A (en) * | 2013-09-06 | 2015-03-18 | 中兴通讯股份有限公司 | Automatic alarming method and device of mobile terminal |
| CN104602183A (en) * | 2014-04-22 | 2015-05-06 | 腾讯科技（深圳）有限公司 | Group positioning method and system |
| CN106707233A (en) * | 2017-03-03 | 2017-05-24 | 广东工业大学 | Multi-side positioning method and multi-side positioning device based on outlier detection |
| CN107276886A (en) * | 2017-06-30 | 2017-10-20 | 深圳前海弘稼科技有限公司 | Managing device that management method is fallen behind by Team Member and Team Member falls behind |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9720092B2 (en) * | 2015-03-26 | 2017-08-01 | International Business Machines Corporation | Enhanced conversion between geohash codes and corresponding longitude/latitude coordinates |
| CN106255054A (en) * | 2015-06-10 | 2016-12-21 | 阿里巴巴集团控股有限公司 | Determine the method for mobile terminal positioning interval, mobile terminal and server |
-
2021
- 2021-07-05 CN CN202110757155.XA patent/CN113490140B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007208334A (en) * | 2006-01-30 | 2007-08-16 | Nec Access Technica Ltd | Mobile communication system, and communication control method and communication control program used for same |
| CN101959124A (en) * | 2010-05-25 | 2011-01-26 | 宇龙计算机通信科技(深圳)有限公司 | Terminal position prompt method, mobile terminal, server and system |
| CN102521486A (en) * | 2011-11-28 | 2012-06-27 | 苏州迈普信息技术有限公司 | Method for automatically judging whether tourists fall behind |
| CN103379433A (en) * | 2012-04-27 | 2013-10-30 | 华为终端有限公司 | Method and device for giving alarm through distance measurement |
| CN104427468A (en) * | 2013-09-06 | 2015-03-18 | 中兴通讯股份有限公司 | Automatic alarming method and device of mobile terminal |
| CN103593729A (en) * | 2013-10-28 | 2014-02-19 | 苏州海客科技有限公司 | Dynamical grouping method for travelling |
| CN104602183A (en) * | 2014-04-22 | 2015-05-06 | 腾讯科技（深圳）有限公司 | Group positioning method and system |
| CN106707233A (en) * | 2017-03-03 | 2017-05-24 | 广东工业大学 | Multi-side positioning method and multi-side positioning device based on outlier detection |
| CN107276886A (en) * | 2017-06-30 | 2017-10-20 | 深圳前海弘稼科技有限公司 | Managing device that management method is fallen behind by Team Member and Team Member falls behind |
Non-Patent Citations (4)
| Title |
|---|
| Private and Flexible Proximity Detection Based on Geohash;Ayong Ye;《2017 IEEE 85th Vehicular Technology Conference (VTC Spring)》;全文 * |
| 一种改进的LOF异常点检测算法;周鹏;程艳云;;计算机技术与发展(第12期);全文 * |
| 基于距离的离群挖掘算法研究;杨正宽;《中国优秀硕士学位论文全文数据库》(第01期);全文 * |
| 智能iBeacon测距报警系统;冉莉莉;石繁荣;车洪彬;;传感器与微系统(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113490140A (en) | 2021-10-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101598768B (en) | Online capacity remote detection method of storage battery and detection device thereof | |
| CN102879791B (en) | System for sensing activity data of elder person based on Beidou positioning terminal | |
| CN110286300A (en) | A kind of multi branch electric power lines road Fault Locating Method, device, equipment and system | |
| CN111463902A (en) | Overhead line monitoring method, system, device and server | |
| CN102721373A (en) | Online electrified railway overhead contact line icing monitoring system | |
| CN104053128A (en) | Information pushing and collecting system and method based on Bluetooth | |
| CN109239806A (en) | A kind of thunderstorm real-time system for monitoring and pre-warning | |
| CN115087143A (en) | AIoT measurement and control edge gateway based on embedded system | |
| CN111983287A (en) | Lightning current monitoring system and method | |
| EP2533553A1 (en) | Method and device for mtc terminal device detecting predetermined events and informing mtc server | |
| CN113490140B (en) | Method for detecting abnormal position of group member | |
| CN113283824A (en) | Comprehensive management method and system for intelligent park data | |
| CN109031023A (en) | A kind of current leakage detection system with tripping catch function | |
| CN108846993A (en) | Campus student secure localization early warning system and method | |
| CN118230382B (en) | Petrochemical enterprise multidimensional personnel location show management system | |
| CN112737124B (en) | Method and device for constructing power equipment monitoring terminal | |
| CN201821161U (en) | Digital distribution network monitoring and managing system and power equipment temperature rise early warning system thereof | |
| CN114301183A (en) | Method and system for preventing scheduling misoperation | |
| CN117375245B (en) | Power supply control system and power supply control method based on Internet of things | |
| CN112348207A (en) | Power grid disaster prevention early warning method and device | |
| CN213402564U (en) | Distribution network operation monitoring system based on edge calculation | |
| CN208520945U (en) | A kind of mixed line fault deciding field device | |
| CN107888394A (en) | The method and device of network failure reason positioning | |
| CN107896004B (en) | A method and system for displaying status information of substation equipment based on LBS | |
| CN115391317A (en) | Information processing method, device, equipment, system and storage medium |
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 |