CN111372286B - Mobile terminal data processing method, medium and electronic equipment - Google Patents
Mobile terminal data processing method, medium and electronic equipment Download PDFInfo
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- CN111372286B CN111372286B CN202010138681.3A CN202010138681A CN111372286B CN 111372286 B CN111372286 B CN 111372286B CN 202010138681 A CN202010138681 A CN 202010138681A CN 111372286 B CN111372286 B CN 111372286B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/02—Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
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- 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
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Abstract
The invention relates to a mobile terminal data processing method, a medium and electronic equipment, wherein the method comprises the steps of obtaining uploading data of a mobile terminal; processing the uploading data of the mobile terminal, and determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain and a second reference value corresponding to each preset period in a preset second time domain; determining a target reference value corresponding to each preset period in a second time domain of each region based on the first reference value and the second reference value; determining color codes corresponding to target reference values corresponding to each preset period in a second time domain of each region according to a preset threshold interval; and displaying the target reference value corresponding to each preset period in the second time domain of each region by adopting the color corresponding to the color coding. The method and the device can process dynamic mass data in real time, and provide powerful data support for user decision making, so that user experience is improved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a mobile terminal data processing method, a medium, and an electronic device.
Background
With the development of computer technology, people often use computers to process related data and perform visual display. Existing data processing systems typically include a data input system, a processing subsystem, and an output display system. The input system may receive input data from a user, sensor data, data stored in a database, etc., and the output display system may be used to display the results of the data processing to the user, and the processing subsystem is the core of the data processing system, including a processing server or a server cluster that may run a data processing program, and may perform the data processing in real time for almost all computing devices while processing relatively small amounts of static data.
However, in many application scenarios, a huge amount of dynamic data needs to be processed, for example, the reworking situation of the geofence where a city/county area is located before and after a certain time interval is counted, when a huge amount of dynamic data is processed, the real-time performance of a processing subsystem is greatly reduced, and the real-time performance problem can be solved by increasing the number of hardware or adopting higher-speed hardware equipment, but the cost is greatly increased, and a great amount of time is also required for arranging and debugging a great amount of newly added hardware equipment, so how to improve the real-time performance of processing a huge amount of dynamic data on the existing hardware equipment becomes a technical problem to be solved.
Disclosure of Invention
The invention aims to provide a mobile terminal data processing method, a medium and electronic equipment, which are used for processing dynamic mass data in real time and providing powerful data support for user decision making so as to improve user experience.
In order to solve the above technical problem, according to a first embodiment of the present invention, there is provided a mobile terminal data processing method, including:
acquiring uploading data of a mobile terminal;
processing the uploading data of the mobile terminal, and determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain and a second reference value corresponding to each preset period in a preset second time domain;
determining a target reference value corresponding to each preset period in a second time domain of each region based on the first reference value and the second reference value;
determining color codes corresponding to target reference values corresponding to each preset period in a second time domain of each region according to a preset threshold interval;
and displaying the target reference value corresponding to each preset period in the second time domain of each region by adopting the color corresponding to the color coding.
Further, the mobile terminal is a mobile phone terminal, and the obtaining of the uploading data of the mobile terminal includes:
receiving uploading data of a device terminal, wherein the device terminal comprises one or more of a mobile phone terminal, a tablet personal computer, an intelligent sound box and an intelligent watch;
according to the type of the terminal equipment, the uploading data of the mobile phone terminal are screened out from the uploading data of all the equipment terminals;
and screening the uploading data corresponding to the unique identifiers of all the mobile terminals from the uploading data of the mobile phone terminals to be used as the uploading data of the mobile terminals.
Further, the upload data includes the mobile terminal I D, wi F id to which the mobile terminal is connected, upload time information of the mobile terminal, and location information of the mobile terminal.
Further, the processing the uploaded data of the mobile terminal, determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain, and a second reference value corresponding to each preset period in a preset second time domain, where the processing includes:
determining the work WI F I of each area in a first time domain based on the uploading data of the mobile terminal;
determining the number of mobile terminals connected with the working WIF I in the corresponding area in each area in a preset period in a first time domain according to the uploading data of the mobile terminals, taking the number as the first reference value, and pre-storing the first reference value in a cache;
and determining the number of the mobile terminals connected with the working WIF I in the corresponding area in each preset period in a second time domain in real time according to the uploading data of the mobile terminals, and taking the number as a second reference value corresponding to each preset period.
Further, the determining, based on the uploaded data of the mobile terminal, the work WI F I of each area in the first time domain includes:
acquiring a WI F I I D corresponding to a preset unique identifier of each mobile terminal in a first time domain, and forming a first WI F I I D set;
determining the weight of each WI F I D in the first WI F I D set according to the working period, and selecting the WI F I D with the highest weight corresponding to each mobile terminal unique identifier to form a second WI F I D set;
selecting WI F I I D with the number of connected mobile terminals higher than a preset first threshold value from the second WI F I D set to form a third WI F I D set, and adding a corresponding position label for each WI F I D in the third WI F I D set;
acquiring WI F I I D corresponding to each target area from the first WI F I I D set and the third WI F I D set, and screening WI F I I D with the number of connected mobile terminals higher than a preset second threshold value to obtain a fourth WI F I I D set;
and obtaining the intersection of the fourth WI F I I D set and the second WI F I I D set to obtain WI F I I D which is the work WI F I corresponding to each target area.
Further, the determining, according to the upload data of the mobile terminal, the number of mobile terminals connected to the working WI F I in the corresponding area in each of the areas in the preset period in the first time domain, as the first reference value includes:
and obtaining uploading data of the mobile terminal in each preset period in the first time domain, comparing WI F I D connected with the mobile terminal with work WI F I in a corresponding area to obtain the number of the mobile terminals connected with the work WI F I in the corresponding area, and obtaining the average value of the number of the mobile terminals in all preset periods in the first time domain or taking the maximum value as the first reference value.
Further, the determining, according to the upload data of the mobile terminal, the number of mobile terminals connected to the working WI F I in the corresponding area in each of the areas in the preset period in the first time domain, as the first reference value includes:
and acquiring a union set of WI F I I D connected with all the mobile terminals in the first time domain, and counting the number of working WI F I belonging to the corresponding region in the obtained union set to be used as the first reference value.
Further, the determining, in real time, the number of mobile terminals connected to the working WI F I in the corresponding area in each of the areas in each preset period in the second time domain according to the upload data of the mobile terminal, as the second reference value corresponding to each preset period includes:
and acquiring uploading data of the mobile terminal in each preset period in a second time domain in real time, comparing the WIFI (wireless fidelity) I D connected with the mobile terminal with the work WIF I in the corresponding region to obtain the number of the mobile terminals connected with the work WIF I in the corresponding region, and taking the number as a second reference value corresponding to each preset period.
According to a second embodiment of the present invention, a computer-readable storage medium is provided for storing a computer program which, when executed by a computer or processor, implements the steps of the method.
According to a third embodiment of the invention, an electronic device is provided comprising a memory and a processor, the memory storing a computer program, which, when executed by the processor, is capable of carrying out the steps of the method.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By means of the technical scheme, the mobile terminal data processing method, the medium and the electronic equipment provided by the invention can achieve quite technical progress and practicality, have wide industrial utilization value, and have at least the following advantages:
according to the invention, the dynamic mass data can be processed in real time without adding additional hardware processing equipment, the current data and the historical data of mass levels are compared and intuitively displayed, the cost is saved, the instantaneity and the accuracy of data processing are improved, and powerful data support is provided for user decision making, so that the user experience is improved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention, as well as the preferred embodiments thereof, together with the following detailed description of the invention, given by way of illustration only, together with the accompanying drawings.
Drawings
FIG. 1 is a flowchart of a mobile terminal data processing method according to an embodiment of the present invention;
FIG. 2 is a block diagram of an electronic device according to an embodiment of the present invention;
fig. 3 is a block diagram of a computer readable storage medium according to an embodiment of the present invention.
[ symbolic description ]
100: electronic equipment
101: memory device
102: processor and method for controlling the same
200: computer readable storage medium
201: program code
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to a specific implementation of a mobile terminal data processing method, a medium and an electronic device and its effects according to the present invention with reference to the accompanying drawings and preferred embodiments.
The embodiment of the invention provides a mobile terminal data processing method, as shown in fig. 1, comprising the following steps:
s1, obtaining uploading data of a mobile terminal;
the upload data includes the mobile terminal I D, WI F id connected to the mobile terminal, upload time information of the mobile terminal, and location information of the mobile terminal.
Step S2, processing the uploading data of the mobile terminal, and determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain and a second reference value corresponding to each preset period in a preset second time domain;
it should be noted that the first time domain and the second time domain may be two non-overlapping time periods, or two overlapping time periods of a part of the first time domain and the second time domain, where the preset period is less than or equal to the first time domain and the second time domain.
Step S3, determining a target reference value corresponding to each preset period in a second time domain of each region based on the first reference value and the second reference value;
step S4, determining color codes corresponding to target reference values corresponding to each preset period in a second time domain of each region according to a preset threshold interval;
and S5, displaying the target reference value corresponding to each preset period in the second time domain of each region by adopting the color corresponding to the color coding.
The method provided by the embodiment of the invention can process dynamic mass data in real time, compare the current data with the historical data of mass level, intuitively display the current data with the historical data, and provide powerful data support for user decision making, thereby improving user experience. The method can be suitable for application scenes of massive data transmitted by the mobile terminal before and after a specific time point/region. For example, after the 2008 wenchun earthquake, in the specified range of the earthquake region, the daily influence and rescue condition of the earthquake are judged according to the mobile terminal information before the earthquake time point and the mobile terminal information after the time point. For another example, the outflow population of a certain region can be calculated by comparing the data of the mobile terminals located in the certain region before and after a certain time interval; or counting the number comparison of the mobile terminals of the geofences of a certain city/county area before and after a certain time interval, and measuring and calculating the daily reworking condition.
As an example, the mobile terminal is a mobile phone terminal, the number of mobile phone terminals may be used to express the number of people, and the step S1 may include the steps of:
step S11, receiving uploading data of equipment terminals, wherein the equipment terminals comprise one or more of mobile phone terminals, tablet computers, intelligent sound boxes and intelligent watches;
the terminal equipment can upload data to the server through software which is installed on the terminal equipment and can acquire terminal position information, time information and network information, can upload data to the server through a communication card installed in the mobile phone, and can upload data to the server through a third party service.
Step S12, the uploading data of the mobile phone terminal is screened out from the uploading data of all the equipment terminals according to the type of the terminal equipment;
step S13, screening the uploading data corresponding to the unique identifiers of all mobile terminals from the uploading data of the mobile terminals, where the uploading data includes the mobile terminal I D, wi F I D connected with the mobile terminal, uploading time information of the mobile terminal, and location information of the mobile terminal.
It should be noted that, when a plurality of mobile phones of one person are simultaneously connected with one WI F I, the unique identifier belongs to the same mobile terminal, and the duplicate removal effect can be achieved through step S13, so that the accuracy of data statistics is improved.
As an example, the step S2 may include the steps of:
step S21, determining the work WIF I of each area in a first time domain based on the uploading data of the mobile terminal;
it should be noted that, the work WI F I refers to the WI F I of the work area, and the embodiment of the present invention may use the number of mobile terminals connected to the work WI F I to represent the number of workers.
Step S22, determining the number of mobile terminals connected with the work WI F I in the corresponding area in each area in a preset period in a first time domain according to the uploading data of the mobile terminals, and taking the number as the first reference value and pre-storing the first reference value in a cache;
the pre-stored cache may be a file stored in a non-volatile memory, or a file stored in a non-volatile memory, such as a configuration file. Nonvolatile memory refers to disk or memory that does not power down. The first reference value is pre-stored in a cache, and the subsequent processing can be directly invoked, so that the speed and instantaneity of data processing are improved. Step S23, determining the number of mobile terminals connected with the work WI F I in the corresponding area in each preset period in a second time domain in real time according to the uploading data of the mobile terminals, and taking the number as a second reference value corresponding to each preset period.
It will be appreciated that the data in the first time domain is mainly used to determine the first reference value, and in order to increase the first reference value, the first time domain may be selected as many preset periods as possible. The data in the second time domain can determine the second reference value corresponding to each preset period in the second time domain in real time. Taking the calculation of the reworking rate after epidemic situation as an example, the preset period can be set as one day, the epidemic situation outbreak day is taken as a node, and the first time domain represents continuous or discontinuous days before the epidemic situation outbreak day, for example, continuous 5 days. The second time domain is continuous days after the epidemic situation outbreak and the working, or discontinuous days, such as continuous 14 days, or the first, third, fifth, etc. days after the working. It should be understood that the foregoing is only an example, and the specific lengths of the first time domain and the second time domain may be adjusted according to the requirement, for example, the first time domain may be further set to be continuous for 10 days; the second time domain may be set to 20 consecutive days, or the first, second, fourth, sixth, etc. days designated after the start of work. .
As an example, the step S21 may include the steps of:
step S211, acquiring a WI FIID corresponding to a preset unique identifier of each mobile terminal in a first time domain, and forming a first WI FIID set;
the first WI FI ID set includes a working WI FI and a non-working WI FI.
Step S212, determining the weight of each WI F I D in the first WI F I D set according to the working period, and selecting the WI F I D with the highest weight corresponding to each mobile terminal unique identifier to form a second WI F I D set;
step S213, selecting WI F I I D with the number of connected mobile terminals higher than a preset first threshold value from the second WI F I D set to form a third WI F I I D set, and adding a corresponding position label for each WI F I D in the third WI F I D set;
wherein the first threshold is specifically set according to a specific requirement of the statistical data processing, such as a parameter of accuracy required by the data processing.
Step S214, WI F I I D corresponding to each target area is obtained from the first WI F I I D set and the third WI F I D set, and WI F I I D with the number of connected mobile terminals higher than a preset second threshold value is screened out to obtain a fourth WI F I I D set;
wherein the second threshold is specifically set according to specific requirements of the data processing, such as parameters of a specific required accuracy of the data processing.
Step S215, obtaining the WI F ID obtained by intersecting the fourth WIFI ID set and the second WI F ID set, which is the work WI FI corresponding to each target area.
Step S212 roughly acquires the working WIF I, and the working WIFI is more accurately selected through steps S213-S214, so that the accuracy of the working WIFI selection is improved, and the accuracy of the whole data processing process is improved.
As an example, the step S22 may include the steps of:
step S221, obtaining uploading data of the mobile terminal in each preset period in the first time domain, comparing the WIFI I D connected with the mobile terminal with the working WIFI in the corresponding region to obtain the number of the mobile terminals connected with the working WIFI in the corresponding region, and obtaining the average value of the number of the mobile terminals in all preset periods in the first time domain or taking the maximum value as the first reference value.
As another example, the step S22 may further include the steps of:
step S222, obtaining a union set of WIF I IDs connected with all the mobile terminals in the first time domain, and counting the number of working WIF I belonging to the corresponding domain in the obtained union set as the first reference value.
As an example, the step S23 may include the steps of:
step S231, uploading data of the mobile terminal in each preset period in the second time domain is obtained in real time, WIFI I D connected with the mobile terminal is compared with work WI F I in the corresponding region, and the number of the mobile terminals connected with the work WI F I in the corresponding region is obtained and used as a second reference value corresponding to each preset period.
Step S221 and step S222 can both determine a first reference value, and still take the calculation of the reworking rate after epidemic situation as an example, the first reference value is the number of workers before epidemic situation. The second reference value calculated in step S231 is the number of corresponding reworks in the preset period after the holiday, and specifically may be the number of reworks in the first day after the holiday, the number of reworks in the second day after the holiday, and the number of reworks in the third day after the holiday …. After the data is obtained, the second reference value may be divided by the first reference value, and the step S3 may obtain the complex power corresponding to each preset period in the second time domain, that is, the target reference value, for example, the complex power of the first day after the holiday, the complex power of the second day after the holiday, and the complex power of the third day after the holiday …. Through step S4, color codes corresponding to different complex powers may be set, for example, the complex rate corresponds to a first color code within the range of [0-0.25 ], the color displayed by the first color code is yellow, the complex power corresponds to a second color code within the range of [0.25-0.5 "), the color displayed by the second color code is green, the color displayed by the complex power corresponds to a third color code within the range of [0.5-0.75 ], the color displayed by the complex power corresponds to blue, the color displayed by the complex power corresponds to a fourth color code within the range of [0.75-1], and the color displayed by the complex power is red. By the method provided by the embodiment of the invention, the rework rate in the same preset period of the second time domain in a plurality of areas can be calculated at the same time, and the corresponding color can be used for performing visual display on the corresponding area map in real time, so that a user can make a decision according to the display result, and the user experience is improved.
In this embodiment, the day is taken as the preset period as an example, so that the rework graph is presented on a certain day, but it is understood that the preset period may be set to 24 hours, for example, starting from 8 a.m., and the preset period is 24 hours, and the rework graph represents the rework rate from 8 a.m. to 8 a.m. at present within 24 hours.
The embodiment of the present invention further provides an electronic device 100, as shown in fig. 2, which includes a memory 101 and one or more processors 102, where the memory 101 and the processors 102 are connected by a communication line. The memory 101 may be used to store software programs, such as program instructions corresponding to the methods described in the embodiments of the present application, and the processor 102 executes the software programs stored in the memory 101 to perform various functional applications and data processing, such as the methods of data processing described in the embodiments of the present invention.
The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Embodiments of the present invention also provide a computer readable storage medium, as shown in fig. 3, in which a program code is stored in the computer readable storage medium 200, and the program code may be called by a processor to perform the method of data processing described in the above method embodiments. The computer readable storage medium 200 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer readable storage medium 200 comprises a non-transitory computer readable medium (non-trans itory computer-readab l e storage med i um). The computer readable storage medium 200 has storage space for program code 201 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. Program code 201 may be compressed, for example, in a suitable form.
The method provided by the embodiment of the invention can process dynamic mass data in real time, compare the current data with the historical data at a mass level, and intuitively display the current data with the historical data, thereby improving the real-time performance and accuracy of data processing, providing powerful data support for user decision making and further improving user experience.
The present invention is not limited to the above-mentioned embodiments, but is intended to be limited to the following embodiments, and any modifications, equivalents and modifications can be made to the above-mentioned embodiments without departing from the scope of the invention.
Claims (8)
1. A method for processing data of a mobile terminal, comprising:
acquiring uploading data of a mobile terminal;
processing the uploading data of the mobile terminal, and determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain and a second reference value corresponding to each preset period in a preset second time domain;
determining a target reference value corresponding to each preset period in a second time domain of each region based on the first reference value and the second reference value;
determining color codes corresponding to target reference values corresponding to each preset period in a second time domain of each region according to a preset threshold interval;
displaying a target reference value corresponding to each preset period in a second time domain of each region by adopting a color corresponding to the color coding;
the processing the uploading data of the mobile terminal, determining a first reference value corresponding to a preset period of one or more areas in a preset first time domain, and a second reference value corresponding to each preset period in a preset second time domain, including:
determining the working WIFI of each area in a first time domain based on the uploading data of the mobile terminal;
determining the number of mobile terminals connected with working WIFI in a corresponding area in each area in a preset period in a first time domain according to the uploading data of the mobile terminals, wherein the number of the mobile terminals is used as the first reference value and is pre-stored in a cache;
determining the number of mobile terminals connected with the working WIFI in the corresponding area in each preset period in a second time domain in real time according to the uploading data of the mobile terminals, and taking the number as a second reference value corresponding to each preset period;
the determining the working WIFI of each area in the first time domain based on the uploaded data of the mobile terminal includes:
acquiring a preset WIFIID corresponding to each mobile terminal unique identifier in a first time domain, and forming a first WIFIID set;
determining the weight of each WIFIID in the first WIFIID set according to the working time period, and selecting the WIFIID with the highest weight corresponding to each mobile terminal unique identifier to form a second WIFIID set;
selecting the WIFIIDs of which the number of connected mobile terminals is higher than a preset first threshold value from the second WIFIID set, forming a third WIFIID set, and adding a corresponding position label for each WIFIID in the third WIFIID set;
acquiring the WIFIID corresponding to each target area from the first WIFIID set and the third WIFIID set, and screening the WIFIIDs of which the number of connected mobile terminals is higher than a preset second threshold value to obtain a fourth WIFIID set;
and obtaining the WIFIID obtained after the intersection of the fourth WIFIID set and the second WIFIID set, namely the working WIFI corresponding to each target area.
2. The method for processing mobile terminal data according to claim 1, wherein,
the mobile terminal is a mobile phone terminal, and the method for acquiring the uploading data of the mobile terminal comprises the following steps:
receiving uploading data of a device terminal, wherein the device terminal comprises one or more of a mobile phone terminal, a tablet personal computer, an intelligent sound box and an intelligent watch;
according to the type of the terminal equipment, the uploading data of the mobile phone terminal are screened out from the uploading data of all the equipment terminals;
and screening the uploading data corresponding to the unique identifiers of all the mobile terminals from the uploading data of the mobile phone terminals to be used as the uploading data of the mobile terminals.
3. The method for processing mobile terminal data according to claim 2, wherein,
the uploading data comprises a mobile terminal ID, a WiFiID to which the mobile terminal is connected, uploading time information of the mobile terminal and position information of the mobile terminal.
4. A mobile terminal data processing method according to claim 3, wherein,
determining, according to the upload data of the mobile terminal, the number of mobile terminals connected to the working WIFI in the corresponding area in each of the areas in a preset period in a first time domain, as the first reference value, including:
and obtaining uploading data of the mobile terminal in each preset period in the first time domain, comparing the WIFIID connected with the mobile terminal with the working WIFI in the corresponding region to obtain the number of the mobile terminals connected with the working WIFI in the corresponding region, and obtaining the average value of the number of the mobile terminals in all preset periods in the first time domain or taking the maximum value as the first reference value.
5. A mobile terminal data processing method according to claim 3, wherein,
determining, according to the upload data of the mobile terminal, the number of mobile terminals connected to the working WIFI in the corresponding area in each of the areas in a preset period in a first time domain, as the first reference value, including:
and acquiring a union set of WIFIIDs connected with all the mobile terminals in the first time domain, and counting the number of working WIFI belonging to the corresponding region in the acquired union set to be used as the first reference value.
6. A mobile terminal data processing method according to claim 3, wherein,
the determining, in real time, the number of mobile terminals connected to the working WIFI in the corresponding area in each of the areas in each preset period in the second time domain according to the uploading data of the mobile terminals, as a second reference value corresponding to each preset period, includes:
and acquiring uploading data of the mobile terminal in each preset period in a second time domain in real time, comparing the WIFIID connected with the mobile terminal with the working WIFI in the corresponding region to obtain the number of the mobile terminals connected with the working WIFI in the corresponding region, and taking the number as a second reference value corresponding to each preset period.
7. A computer readable storage medium storing a computer program, characterized in that the program when executed by a computer or processor implements the steps of the method according to any one of claims 1 to 6.
8. An electronic device comprising a memory and a processor, characterized in that the memory stores a computer program which, when executed by the processor, is capable of implementing the steps of the method of any one of claims 1 to 6.
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| CN104540168A (en) * | 2014-12-30 | 2015-04-22 | 杭州华为数字技术有限公司 | Method, device and system for measuring crowding degree |
| CN107172591A (en) * | 2017-07-21 | 2017-09-15 | 长沙稻冰工程技术有限公司 | Flow rate testing methods, device and computer-readable recording medium |
| 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 |
| CN108876950A (en) * | 2018-05-31 | 2018-11-23 | 苏州达家迎信息技术有限公司 | Method, apparatus, terminal, server and the storage medium of attendance tracking |
| CN109451432A (en) * | 2018-11-14 | 2019-03-08 | 浙江每日互动网络科技股份有限公司 | A method of early warning is carried out based on mobile terminal locations data |
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