CN111831633A - Automatic community visitor platform extension method and device based on visitor data - Google Patents
Automatic community visitor platform extension method and device based on visitor data Download PDFInfo
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Abstract
The invention provides a cell visitor platform automatic expansion method and device based on visitor data. The method comprises the following steps: acquiring cell visitor data, acquiring a local preset data format, screening the cell visitor data according to the local data format, and acquiring the screened cell visitor data as data to be calculated; establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table; and calculating data to be calculated according to the visitor measurement model, and expanding the visitor platform according to a calculation result. According to the method and the device, the efficient rate of the visitor data is introduced by establishing the visitor measurement model, so that the expansibility standard deviation can be calculated more accurately, the precision of the extension of the visitor platform is improved, and the resource consumption is reduced.
Description
Technical Field
The invention relates to the technical field of computer big data, in particular to a method and a device for automatically expanding a community visitor platform based on visitor data.
Background
In recent years, with the rapid development of mobile internet and the progress of sensor technology, data is generated at an increasingly faster rate and the data size is becoming larger. The growth of data is also demanding more and more data processing technology, and also the performance requirements for large data processing platforms.
The intelligent cell is the hot of present development, in order to guarantee the safety of cell resident family, the cell generally can all record the visitor data of all business turn over districts, the visitor data of some cells one day is many, the performance requirement to the visitor platform of cell can be very high, in order to adapt to this kind of visitor data, the cell can select to expand the performance of visitor platform, but current platform performance extension method is used for visitor platform and is not accurate here, so, in order to improve the accuracy of platform performance extension, need a new visitor platform extension method urgently.
The above-described contents are only for assisting understanding of technical aspects of the present invention, and do not represent an admission that the above-described contents are prior art.
Disclosure of Invention
In view of this, the invention provides a method and a device for automatically expanding a community visitor platform based on visitor data, and aims to solve the technical problem that the performance expansion precision of the visitor platform cannot be improved by designing a visitor measurement model in the prior art.
The technical scheme of the invention is realized as follows:
in one aspect, the invention provides a method for automatically expanding a community visitor platform based on visitor data, which comprises the following steps:
s1, obtaining community visitor data, obtaining a local preset data format, screening the community visitor data according to the local data format, and obtaining the screened community visitor data as data to be calculated;
s2, establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and S3, calculating the data to be calculated according to the visitor measurement model, and expanding the visitor platform according to the calculation result.
On the basis of the above technical solution, preferably, in step S1, obtaining the visitor data of the cell, obtaining a local preset data format, screening the visitor data of the cell according to the local data format, and obtaining the visitor data of the cell after screening as data to be calculated, the method further includes the following steps of obtaining the visitor data of the cell, where the visitor data of the cell includes: and acquiring local preset data format according to the time when the visitor enters the cell, the time when the visitor leaves the cell and the face information data of the visitor, screening the cell visitor data according to the local data format, and acquiring the screened cell visitor data as the data to be calculated.
On the basis of the technical scheme, preferably, a local preset data format is obtained, the community visitor data is screened according to the local data format, and the screened community visitor data is obtained to be used as the data to be calculated; and when the integrity of the cell visitor data is not verified, deleting the cell visitor data.
On the basis of the foregoing technical solution, preferably, in step S2, before establishing an extensibility standard deviation algorithm, acquiring a local extensibility data corresponding table, and establishing a visitor measurement model according to the extensibility standard deviation algorithm and the local extensibility data corresponding table, the method further includes the following steps of acquiring extensibility data of a network platform, where the extensibility data of the network platform includes: platform expansibility standard difference value and corresponding expansibility evaluation, wherein the expansibility evaluation comprises the following steps: the expansibility is good, and the expansion is suggested; and (4) the expansibility is poor, the expansion is not suggested, and a corresponding relation table is established as a local expandability data corresponding table according to the platform expansibility standard difference value and the corresponding expansibility evaluation.
On the basis of the above technical scheme, preferably, an expansibility standard deviation algorithm is established, a local expansibility data corresponding table is obtained, and a visitor measurement model is established according to the expansibility standard deviation algorithm and the local expandability data corresponding table.
On the basis of the above technical solution, preferably, the expansibility standard deviation algorithm is:
wherein V represents the standard deviation of expandability, SiRepresenting the scalability of the network,
wherein D (i) represents the load scale of the ith load before platform expansion, Da(i) Represents the load scale of the ith load after platform expansion, P (i) represents the performance resource rate before platform expansion, Pa(i) Representing the performance resource rate after platform expansion, n representing the load number, i representing the ith load, PfThe representative cell visitor data is efficient.
On the basis of the above technical solution, preferably, in step S3, the method calculates the data to be calculated according to the visitor metric model, and expands the visitor platform according to the calculation result, and further includes the steps of calculating the data to be calculated according to the visitor metric model, obtaining the calculation result, looking up the corresponding expansibility evaluation from the local expandability data correspondence table according to the calculation result, and expanding the visitor platform according to the expansibility evaluation.
Still further preferably, the visitor data based automatic extension apparatus for a cell visitor platform includes:
the data screening module is used for acquiring the community visitor data, acquiring a local preset data format, screening the community visitor data according to the local data format, and acquiring the screened community visitor data as data to be calculated;
the model establishing module is used for establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and the extension module is used for calculating the data to be calculated according to the visitor measurement model and extending the visitor platform according to the calculation result.
In a second aspect, the method for automatic extension of a visitor data-based cell visitor platform further includes an apparatus, including: a memory, a processor and a guest data based cell guest platform auto-expansion method program stored on the memory and executable on the processor, the guest data based cell guest platform auto-expansion method program being configured to implement the steps of the guest data based cell guest platform auto-expansion method as described above.
In a third aspect, the method for automatically extending a visitor data-based cell visitor platform further includes a medium, where the medium is a computer medium, and the computer medium stores thereon a program of a method for automatically extending a visitor data-based cell visitor platform, and when the program of the method is executed by a processor, the method for automatically extending a visitor data-based cell visitor platform as described above is implemented.
Compared with the prior art, the automatic community visitor platform extension method based on visitor data has the following beneficial effects:
(1) by establishing the visitor measurement model, the calculation precision of the extensible standard deviation of the platform is improved, the resource consumption is reduced, and the data processing capacity is improved.
(2) By introducing the effective rate of the community visitor data into the expansibility standard deviation algorithm, the calculation precision of the expansibility standard deviation algorithm is improved, the expandability of the platform can be quantitatively estimated, the precision of the platform expansion is improved, and the user experience is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without any creative effort.
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a first embodiment of a method for automatic extension of a cellular visitor platform based on visitor data according to the present invention;
fig. 3 is a functional module diagram of a first embodiment of a method for automatic extension of a cell visitor platform based on visitor data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001 such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the device, and that in actual implementations the device may include more or less components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a guest data-based cell guest platform auto-extension method program may be included in a memory 1005, which is a medium.
In the device shown in fig. 1, the network interface 1004 is mainly used to establish a communication connection between the device and a server storing all data required in the guest data based cell guest platform auto-expansion method system; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the device for the method for the automatic extension of the community visitor platform based on the visitor data can be arranged in the device for the method for the automatic extension of the community visitor platform based on the visitor data, and the device for the method for the automatic extension of the community visitor platform based on the visitor data calls a program for the method for the automatic extension of the community visitor platform based on the visitor data, which is stored in the memory 1005, through the processor 1001 and executes the method for the automatic extension of the community visitor platform based on the visitor data.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a method for automatic extension of a cell visitor platform based on visitor data according to the present invention.
In this embodiment, the automatic extension method for the cell visitor platform based on visitor data includes the following steps:
s10: the method comprises the steps of obtaining community visitor data, obtaining a local preset data format, screening the community visitor data according to the local data format, and obtaining the screened community visitor data as data to be calculated.
It should be understood that the system will first acquire cell visitor data, which includes: the system comprises a visitor entering cell time, a visitor leaving cell time and visitor face information data, and then the system can obtain a local preset data format which exists locally, wherein the data format is set by an administrator and is used for screening invalid visitor data so as to reduce unnecessary data consumption, reduce the data amount calculated by the system and improve the speed of the whole system.
It should be understood that the local default data format is used to check the integrity of the cell visitor data, such as, for example, if a visitor enters the cell, the system records the visitor enters the cell through a side door of the cell in a format of (XXX ) 25 minutes at 8 am in 2020, then the clear human face data of the person is shot, when he leaves the cell, the system also records that the visitor left the cell 25 minutes at 10 am 2020, cell side door location points (XXX ), the system checks the information in the format of the local default data format, when 3 information formats have no problem or visitors enter and leave data, when the integrity of the visitor data of the representative cell passes verification, the visitor data of the representative cell is taken as data to be calculated; otherwise, deleting the visitor data of the cell.
S20: and establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table.
It should be understood that scalability is a performance evaluation index for a system or service that defines the performance of the system in the face of load by adding processors or improving the performance of the configured machines. When the performance of the system after expansion is not much different from that before expansion, it is indicated that the performance gain obtained by expansion is small, i.e. the expandability of the system is poor. The scalability of the system is important, but the scalability is difficult to obtain accurate measurement, and an enterprise or an individual has difficulty in mastering the scalability size of the system. The most striking feature of cloud computing is the elasticity of the cloud, on which a user can easily perform the expansion and release of instances.
It should be understood that, in this embodiment, the administrator may establish the extensibility standard deviation algorithm and then obtain the network platform extensibility data, where the network platform extensibility data includes: platform expansibility standard difference value and corresponding expansibility evaluation, wherein the expansibility evaluation comprises the following steps: the expansibility is good, and the expansion is suggested; and the expandability is poor, and the expansion is not recommended, and then the system establishes a corresponding relation table as a local expandability data corresponding table according to the platform expandability standard difference value and the corresponding expandability evaluation.
It should be understood that the system will establish the visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table, and this model essentially combines the algorithm and the corresponding table, after the expansibility standard deviation data of a platform is calculated, the expansibility evaluation of the platform can be obtained quickly and directly by combining the algorithm and the corresponding table, thereby reducing intermediate links and improving the running speed of the system.
It should be understood that the extended standard deviation algorithm is:
wherein V represents the standard deviation of expandability, SiRepresenting the scalability of the network,
wherein D (i) represents the load scale of the ith load before platform expansion, Da(i) Represents the load scale of the ith load after platform expansion, P (i) represents the performance resource rate before platform expansion, Pa(i) Representing the performance resource rate after platform expansion, n representing the load number, i representing the ith load, PfThe representative cell visitor data is efficient.
It should be understood that, since there may be differences in scalability for different loads, the present embodiment calculates scalability SiThe more the value of V is close to 0, the more stable the expandability of the community visitor platform is represented, and the larger the value of V is, the smaller the expandability isThe more unstable the scalability of the zone guest platform, the worse the performance.
It should be understood that, in this embodiment, a cell visitor data efficiency is further introduced, that is, by calculating a ratio of the currently verified cell visitor data to all cell visitor data as a cell visitor data efficiency, the current verified cell visitor data efficiency can be closer to a cell visitor platform, so that the extensible precision of the cell visitor platform is improved, and user experience is prompted.
S30: and calculating data to be calculated according to the visitor measurement model, and expanding the visitor platform according to a calculation result.
It should be understood that, the system then calculates the data to be calculated according to the visitor metric model, obtains the calculation result, searches the corresponding extensibility evaluation from the local extensibility data corresponding table according to the calculation result, and extends the visitor platform according to the extensibility evaluation.
The above description is only an example, and does not limit the technical solution of the present application.
As can be easily found from the above description, in the embodiment, the local preset data format is obtained by obtaining the cell visitor data, the cell visitor data is screened according to the local data format, and the screened cell visitor data is obtained as the data to be calculated; establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table; and calculating data to be calculated according to the visitor measurement model, and expanding the visitor platform according to a calculation result. According to the embodiment, the efficient rate of the visitor measurement model is established and the visitor data is introduced, so that the expansibility standard deviation can be calculated more accurately, the precision of the extension of the visitor platform is improved, and the resource consumption is reduced.
In addition, the embodiment of the invention also provides a device for automatically expanding the community visitor platform based on the visitor data. As shown in fig. 3, the visitor data based automatic extension apparatus for a cell visitor platform includes: the system comprises a data screening module 10, a model building module 20 and an expansion module 30.
The data screening module 10 is configured to obtain the cell visitor data, obtain a local preset data format, screen the cell visitor data according to the local data format, and obtain the screened cell visitor data as data to be calculated;
the model establishing module 20 is used for establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and the extension module 30 is used for calculating the data to be calculated according to the visitor metric model and extending the visitor platform according to the calculation result.
In addition, it should be noted that the above-described embodiments of the apparatus are merely illustrative, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of the modules to implement the purpose of the embodiments according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a method for automatically extending a cell visitor platform based on visitor data provided in any embodiment of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a medium, where the medium is a computer medium, where a cell visitor platform automatic extension method program based on visitor data is stored on the computer medium, and when executed by a processor, the cell visitor platform automatic extension method program based on visitor data implements the following operations:
s1, obtaining community visitor data, obtaining a local preset data format, screening the community visitor data according to the local data format, and obtaining the screened community visitor data as data to be calculated;
s2, establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and S3, calculating the data to be calculated according to the visitor measurement model, and expanding the visitor platform according to the calculation result.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
obtaining cell visitor data, the cell visitor data comprising: the method comprises the steps of obtaining a local preset data format when a visitor enters a cell, when the visitor leaves the cell and the visitor face information data, screening the cell visitor data according to the local data format, and obtaining the screened cell visitor data as data to be calculated.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
the method comprises the steps of obtaining a local preset data format, verifying the integrity of cell visitor data according to the local preset data format, and taking the cell visitor data as data to be calculated when the integrity of the cell visitor data passes the verification; and when the integrity of the cell visitor data is not verified, deleting the cell visitor data.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
acquiring network platform expansibility data, wherein the network platform expansibility data comprises: the platform expansibility standard difference value and the corresponding expansibility evaluation, wherein the expansibility evaluation comprises the following steps: the expansibility is good, and the expansion is suggested; and (4) the expansibility is poor, the expansion is not suggested, and a corresponding relation table is established as a local expandability data corresponding table according to the platform expansibility standard difference value and the corresponding expansibility evaluation.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, combining the expansibility standard deviation algorithm and the local expandability data corresponding table, establishing an algorithm data table combination, and combining the algorithm data table combination as a visitor measurement model.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
the expansibility standard deviation algorithm is as follows:
wherein V represents the standard deviation of expandability, SiRepresenting the scalability of the network,
wherein D (i) represents the load scale of the ith load before platform expansion, Da(i) Represents the load scale of the ith load after platform expansion, P (i) represents the performance resource rate before platform expansion, Pa(i) Representing the performance resource rate after platform expansion, n representing the load number, i representing the ith load, PfThe representative cell visitor data is efficient.
Further, when executed by a processor, the visitor data-based cell visitor platform automatic extension method further implements the following operations:
and calculating data to be calculated according to the visitor measurement model, acquiring a calculation result, searching a corresponding expansibility evaluation from a local expandability data corresponding table according to the calculation result, and expanding the visitor platform according to the expansibility evaluation.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A cell visitor platform automatic extension method based on visitor data is characterized in that: comprises the following steps;
s1, obtaining community visitor data, obtaining a local preset data format, screening the community visitor data according to the local data format, and obtaining the screened community visitor data as data to be calculated;
s2, establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and S3, calculating the data to be calculated according to the visitor measurement model, and expanding the visitor platform according to the calculation result.
2. The visitor data based automatic extension method for a cell visitor platform according to claim 1, characterized by: in step S1, obtaining the visitor data of the cell, obtaining a local preset data format, screening the visitor data of the cell according to the local data format, and obtaining the visitor data of the cell after screening as data to be calculated, the method further includes the following steps of obtaining the visitor data of the cell, where the visitor data of the cell includes: and acquiring local preset data format according to the time when the visitor enters the cell, the time when the visitor leaves the cell and the face information data of the visitor, screening the data of the visitor in the cell according to the local data format, and acquiring the screened data of the visitor in the cell as the data to be calculated.
3. The visitor data based automatic extension method for a cell visitor platform according to claim 2, characterized by: the method comprises the following steps of obtaining a local preset data format, screening community visitor data according to the local data format, and obtaining the screened community visitor data as data to be calculated; and when the integrity of the cell visitor data is not verified, deleting the cell visitor data.
4. The visitor data based automatic extension method for a cell visitor platform according to claim 2, characterized by: in step S2, before establishing the extensibility standard deviation algorithm, obtaining the local extensibility data corresponding table, and establishing the visitor measurement model according to the extensibility standard deviation algorithm and the local extensibility data corresponding table, the method further includes the following steps of obtaining the extensibility data of the network platform, where the extensibility data of the network platform includes: platform expansibility standard difference value and corresponding expansibility evaluation, wherein the expansibility evaluation comprises the following steps: the expansibility is good, and the expansion is suggested; and (4) the expansibility is poor, the expansion is not suggested, and a corresponding relation table is established as a local expandability data corresponding table according to the platform expansibility standard difference numerical value and the corresponding expansibility evaluation.
5. The visitor data based automatic extension method for a cell visitor platform according to claim 4, characterized by: establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table, and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table.
6. The visitor data based automatic extension method for a cell visitor platform according to claim 5, characterized by: the method further comprises the following steps of:
wherein V represents the standard deviation of expandability, SiRepresenting the scalability of the network,
wherein D (i) represents the load scale of the ith load before platform expansion, Da(i) Represents the load scale of the ith load after platform expansion, P (i) represents the performance resource rate before platform expansion, Pa(i) Representing the performance resource rate after platform expansion, n representing the load number, i representing the ith load, PfThe representative cell visitor data is efficient.
7. The visitor data based automatic extension method for a cell visitor platform according to claim 6, characterized by: and step S3, calculating the data to be calculated according to the visitor measurement model, and expanding the visitor platform according to the calculation result, and the method also comprises the following steps of calculating the data to be calculated according to the visitor measurement model, obtaining the calculation result, searching the corresponding expansibility evaluation from the local expandability data corresponding table according to the calculation result, and expanding the visitor platform according to the expansibility evaluation.
8. The device for automatically expanding the community visitor platform based on the visitor data is characterized by comprising the following components:
the data screening module is used for acquiring the community visitor data, acquiring a local preset data format, screening the community visitor data according to the local data format, and acquiring the screened community visitor data as data to be calculated;
the model establishing module is used for establishing an expansibility standard deviation algorithm, acquiring a local expandability data corresponding table and establishing a visitor measurement model according to the expansibility standard deviation algorithm and the local expandability data corresponding table;
and the extension module is used for calculating the data to be calculated according to the visitor measurement model and extending the visitor platform according to the calculation result.
9. An apparatus, characterized in that the apparatus comprises: a memory, a processor and a guest data based cell guest platform auto-expansion method program stored on the memory and executable on the processor, the guest data based cell guest platform auto-expansion method program being configured to implement the steps of the guest data based cell guest platform auto-expansion method of any one of claims 1 to 7.
10. A medium, characterized in that the medium is a computer medium having stored thereon a guest data based cell guest platform auto-extension method program, which when executed by a processor implements the steps of the guest data based cell guest platform auto-extension method according to any one of claims 1 to 7.
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| 黄伟: "云环境下大数据处理平台性能分析与优化研究", 《中国优秀硕士学位论文全文数据库信息科技辑》, no. 1, pages 16 - 18 * |
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