CN117573928A - Internet of things athletic information collection method based on network social contact - Google Patents
Internet of things athletic information collection method based on network social contact Download PDFInfo
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Abstract
The invention relates to the technical field of the Internet of things, in particular to an Internet of things athletic information collection method based on network social contact, which comprises the following steps: step S1, screening the competitive information of the Internet of things in a social platform, and determining competitive users of the Internet of things based on the competitive information of the Internet of things; step S2, carrying out statistical calculation on browsing average time lengths containing keyword information in a plurality of users; step S3, adjusting the number of storage types of the acquired data according to the average browsing duration; step S4, expanding the number of data output types according to the average search frequency of the keywords by a plurality of users; s5, counting and calculating the feedback quantity accounting for the proportion quantity; and S6, reducing the number of data output types according to the feedback number ratio, and determining the number of ways for the user to acquire information according to the average use duration in S7. The invention improves the comprehensiveness of data acquisition and the effectiveness of data screening.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an Internet of things athletic information collection method based on network social contact.
Background
The internet of things (Internet of Things, ioT for short) is deeply changing our lifestyle and manner of work as an emerging technology and application model. The intelligent control system realizes information sharing and intelligent control among devices by connecting and interacting various intelligent devices and sensors. In the field of sports, the Internet of things is also widely applied, and better experience and effect are provided for users.
Chinese patent publication No.: CN108566400a discloses a remote control competition system of a game machine, which comprises a server, a remote terminal and game machine equipment, wherein the remote terminal and the game machine equipment are all in communication connection with the server; the game machine equipment comprises a game machine and an image acquisition module; the remote terminal comprises a picture display module and a game control module; the server comprises a first matching module and a second matching module, wherein the first matching module is used for matching the remote terminal with the game machine equipment in the idle state according to the request of the remote terminal, and the second matching module is used for matching two remote terminals which are matched with the game machine equipment in the operation mode in the competition mode. According to the remote control competition system of the game machine, the competition concept is introduced by expanding the playing method of the existing game machine, so that a player can play with other players when the game machine is operated, and the game experience of the player when the player uses the game machine is improved. Therefore, the remote control competition system of the recreational machine has the problems that the collected data cannot be completely read and the effective data is too little due to the too little quantity of the storage types of the collected data and the too little quantity of the types of the data output, so that the data collection comprehensiveness and the data screening effectiveness are reduced.
Disclosure of Invention
Therefore, the invention provides an Internet of things athletic information collection method based on network social contact, which is used for solving the problems that collected data cannot be completely read and effective data are too little, so that the comprehensiveness of data collection and the effectiveness of data screening are reduced due to the fact that the number of storage types of the collected data is too small and the number of types of data output is too small in the prior art.
In order to achieve the above purpose, the invention provides a method for acquiring competitive information of the Internet of things based on network social contact, which comprises the following steps: step S1, screening the Internet of things athletic information in a social platform based on the characteristics of the Internet of things athletic information, and determining an Internet of things athletic user based on the Internet of things athletic information;
step S2, counting browsing time lengths containing keyword information in a plurality of competitive users of the Internet of things, and calculating average browsing time lengths according to the counting result;
step S3, if the comprehensiveness of the data acquisition process is judged to be lower than the allowable range based on the average browsing duration, the number of storage types of the acquired data is adjusted, or the accuracy of data acquisition is preliminarily judged to be lower than the allowable range, and the average search frequency of a plurality of users for keywords is calculated;
step S4, if the accuracy of data acquisition is secondarily judged to be lower than the allowable range based on the average search frequency of the keywords by the plurality of users, the number of data output types is expanded;
step S5, counting the number of users feeding back the push information in a plurality of users after the number of the data output types is expanded, and calculating the feedback number proportion of the users to the push information based on the counting result of the number of the users;
step S6, if the effectiveness of data screening is judged to be lower than the allowable range based on the feedback quantity proportion of the user to the push information, the quantity of data output types is reduced, or the timeliness of the data pool is preliminarily judged to be lower than the allowable range, and the average use time length of a plurality of users to the athletic products is calculated in a statistics mode;
and S7, if the timeliness of the secondary judgment data pool based on the average use time of the athletic products by the users is lower than the allowable range, re-determining the number of the ways of acquiring the information by the users.
Further, the overall decision process for the data acquisition includes,
if the average browsing duration meets the preset first average duration condition or the preset second average duration condition, determining that the comprehensiveness of data acquisition is lower than the allowable range, wherein,
if the average browsing duration only meets the preset first average duration condition, the number of storage types of the acquired data is adjusted;
and if the average browsing duration only meets the preset second average duration condition, primarily judging that the accuracy of data acquisition is lower than the allowable range, and calculating the average search frequency of the keywords by a plurality of users so as to secondarily judge the accuracy of data acquisition.
Further, the preset first average duration condition is that the average browsing duration is less than or equal to a preset first average duration; the condition of the preset second average time length is that the average browsing time length is longer than the preset first average time length and is smaller than or equal to the preset second average time length; the preset first average duration is smaller than the preset second average duration.
Further, the secondary judgment process for the accuracy of the data acquisition comprises expanding the number of the data output types if the search frequency of the keyword by the user meets the preset search frequency condition and the accuracy of the data acquisition is lower than the allowable range,
the preset average search frequency condition is that the average search frequency of the plurality of users on the keywords is smaller than the preset average search frequency.
Further, the expanding the number of the storage types of the collected data includes increasing the number of the storage types of the collected data according to a difference value between the average browsing duration and a preset first average duration.
Further, the expanding the number of the data output types includes increasing the number of the data output types according to a difference between a preset search frequency and an average search frequency of keywords by a plurality of users.
Further, the determination of the validity of the data screening includes,
if the user feedback quantity duty ratio meets the preset first duty ratio condition or the preset second duty ratio condition, judging that the effectiveness of data screening is lower than the allowable range, wherein,
if the feedback quantity of the user on the push information only meets a preset first duty ratio condition, the quantity of the data output types is reduced;
if the feedback quantity of the users on the push information only meets the preset second duty ratio condition, primarily judging that the effectiveness of the data pool is lower than the allowable range, carrying out statistical calculation on the average use time of the athletic products by a plurality of users to carry out secondary judgment on the effectiveness of the data pool,
the preset first duty ratio condition is that the feedback duty ratio of the user to the push information is smaller than or equal to the preset first duty ratio; the preset second duty ratio condition is that the feedback duty ratio of the user to the push information is larger than the preset first duty ratio and smaller than or equal to the preset second duty ratio; the preset first duty cycle is less than the preset second duty cycle.
Further, the secondary decision process for the timeliness of the data pool comprises,
if the average duration of the athletic product meets the preset average duration condition, the timeliness of the secondary judgment data pool is lower than the allowable range, the number of the ways of obtaining the information by the user is redetermined,
the preset average use duration condition is that the average duration of the user using the athletic product is smaller than the preset average use duration.
Further, the process of reducing the number of the data output types includes reducing the number of the data output types according to the difference between the feedback number duty ratio of the push information and the preset first duty ratio.
Further, the process of redefining the number of ways in which the user obtains the information includes heightening the number of ways in which the user obtains the information according to a difference between an average use duration of the athletic products by the plurality of users and a preset average use duration.
Compared with the prior art, the method has the beneficial effects that the comprehensive data acquisition is judged according to the average browsing time length of the keyword information in a plurality of users by setting the steps S1-S7, so that the influence on the comprehensive data acquisition caused by inaccurate judgment of the comprehensive data acquisition is reduced; the method has the advantages that the quantity of the storage types of the acquired data is increased when the data acquisition comprehensiveness is lower than the allowable range, or the quantity of the types of the data output is decreased, so that the influence on the accuracy of the data acquisition due to the fact that the quantity of the storage types of the acquired data is too low and the quantity of the types of the data output is too high is reduced; the feedback duty ratio of the push information is secondarily adjusted by the user to the number of the types of the data output, so that the influence on the effectiveness of data screening due to the fact that the number of the types of the data output is too small is reduced; the quantity of paths for the user to acquire information is adjusted according to the average use time of a plurality of users for the athletic products, so that the influence on timeliness of a data pool caused by too little path for the user to acquire the information is reduced, and the comprehensiveness of data acquisition and the effectiveness of data screening are further improved.
Further, according to the acquisition method, the comprehensiveness of data acquisition is judged according to the preset first average duration and the preset second average duration and the average browsing duration containing the keyword information in the users, the number of data output types is increased according to the difference value between the average browsing duration containing the keyword information and the preset first average duration in the users, the influence on the comprehensiveness of data acquisition due to the fact that the number of the data output types is too small is reduced, and the comprehensiveness of data acquisition and the effectiveness of data screening are further improved.
Furthermore, the acquisition method of the invention judges that the information acquisition accuracy is lower than the allowable range according to the search frequency of the user on the keywords by setting the preset search frequency, and reduces the quantity of the user on the data output types according to the difference value of the preset search frequency and the average search frequency of a plurality of users on the keywords, thereby reducing the influence on the accuracy of data acquisition due to the excessive quantity of the data output types and further realizing the improvement of the comprehensiveness of data acquisition and the effectiveness of data screening.
Further, according to the acquisition method, the preset first duty ratio and the preset second duty ratio are set, the effectiveness of data screening is judged to be lower than the allowable range according to the feedback duty ratio of the user on the push information, the quantity of the types of data output is increased according to the difference value between the feedback duty ratio of the user on the push information and the preset duty ratio, the influence on the effectiveness of the data screening due to the fact that the quantity of the types of the data output is too small is reduced, and the comprehensiveness of data acquisition and the effectiveness of the data screening are further improved.
Further, according to the acquisition method, the preset average use duration is set, the timeliness of the data pool is judged to be lower than the allowable range according to the average use duration of the athletic products by a plurality of users, the number of ways for acquiring information by the users is increased according to the difference value between the average use duration of the athletic products and the preset average use duration by the users, the influence on the timeliness of the data pool due to the fact that the number of ways for acquiring the information by the users is too small is reduced, and the comprehensive data acquisition and the effectiveness of data screening are further improved.
Drawings
FIG. 1 is a general flow chart of an Internet of things athletic information collection method based on network social contact in an embodiment of the invention;
fig. 2 is a specific flowchart of step S2 of the internet of things athletic information collection method based on network social contact according to an embodiment of the invention;
fig. 3 is a specific flowchart of step S4 of the internet of things athletic information collection method based on network social contact according to an embodiment of the invention;
fig. 4 is a specific flowchart of step S5 of the internet of things athletic information collection method based on network social contact according to an embodiment of the invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, fig. 2, fig. 3, and fig. 4, which are an overall flowchart of an internet of things athletic information collection method based on network social contact, a specific flowchart of step S2, a specific flowchart of step S4, and a specific flowchart of step S5 according to an embodiment of the present invention, respectively; the invention discloses a network social contact-based Internet of things athletic information acquisition method, which comprises the following steps:
step S1, screening the Internet of things athletic information in a social platform based on the characteristics of the Internet of things athletic information, and determining an Internet of things athletic user based on the Internet of things athletic information;
step S2, counting browsing time lengths containing keyword information in a plurality of competitive users of the Internet of things, and calculating average browsing time lengths according to the counting result;
step S3, if the comprehensiveness of the data acquisition process is judged to be lower than the allowable range based on the average browsing duration, the number of storage types of the acquired data is adjusted, or the accuracy of data acquisition is preliminarily judged to be lower than the allowable range, and the average search frequency of a plurality of users for keywords is calculated;
step S4, if the accuracy of data acquisition is secondarily judged to be lower than the allowable range based on the average search frequency of the keywords by the plurality of users, the number of data output types is expanded;
step S5, counting the number of users feeding back the push information in a plurality of users after the number of the data output types is expanded, and calculating the feedback number proportion of the users to the push information based on the counting result of the number of the users;
step S6, if the effectiveness of data screening is judged to be lower than the allowable range based on the feedback quantity proportion of the user to the push information, the quantity of data output types is reduced, or the timeliness of the data pool is preliminarily judged to be lower than the allowable range, and the average use time length of a plurality of users to the athletic products is calculated in a statistics mode;
and S7, if the timeliness of the secondary judgment data pool based on the average use time of the athletic products by the users is lower than the allowable range, re-determining the number of the ways of acquiring the information by the users.
Specifically, the characteristics of the athletic information of the internet of things include browsing time periods of a plurality of users containing keyword information, searching frequency of the keywords by the plurality of users, the number of users feeding back push information among the plurality of users, and time periods of the plurality of users using athletic products.
Specifically, the process of screening the competitive information of the internet of things in the social platform is that when the average browsing time length of the keyword information contained in a plurality of users reaches 2 minutes, and according to the average searching frequency of the keywords of a plurality of users exceeding 30 times/minute, relevant information is pushed to the users, and when the feedback quantity of the users to the pushed information reaches 50%, the users meeting any condition are judged to be the users meeting the screening condition.
Specifically, the keywords may be athletic, social, network social, internet of things, and athletic information.
Specifically, the data pool is a data structure that stores and manages data.
Specifically, the step S3 includes:
step S31, judging the comprehensiveness of data acquisition according to browsing time periods of a plurality of users containing keyword information;
step S32, when the comprehensiveness of data acquisition is judged to be lower than an allowable range, the number of storage types of acquired data is adjusted;
step S33, or preliminary determination, that the accuracy of data collection is lower than the allowable range and calculation is performed on the average search frequency of the keywords by a plurality of users.
The step S4 includes:
step S41, performing secondary judgment on the accuracy of data acquisition according to the average search frequency of a plurality of users on the keywords;
step S42, expanding the number of data output types when the effectiveness of the secondary judgment data screening is lower than the allowable range.
The step S5 includes:
step S51, after the number of the data output types is expanded, counting the number of users which feed back the pushing information in a plurality of users;
and step S52, determining the feedback quantity ratio of the user to the push information based on the statistical result of the quantity of the user.
According to the acquisition method, through setting the steps S1-S5, the comprehensiveness of data acquisition is judged according to the average browsing time length of the keyword information contained in a plurality of users, and the influence on the comprehensiveness of the data acquisition due to inaccurate judgment of the comprehensiveness of the data acquisition is reduced; the method has the advantages that the quantity of the storage types of the acquired data is increased when the data acquisition comprehensiveness is lower than the allowable range, or the quantity of the types of the data output is decreased, so that the influence on the accuracy of the data acquisition due to the fact that the quantity of the storage types of the acquired data is too low and the quantity of the types of the data output is too high is reduced; the feedback duty ratio of the push information is secondarily adjusted by the user to the number of the types of the data output, so that the influence on the effectiveness of data screening due to the fact that the number of the types of the data output is too small is reduced; the quantity of paths for the user to acquire information is adjusted according to the average use time of a plurality of users for the athletic products, so that the influence on timeliness of a data pool caused by too little path for the user to acquire the information is reduced, and the comprehensiveness of data acquisition and the effectiveness of data screening are further improved.
Referring to fig. 2, the overall decision process for the data acquisition includes,
if the average browsing duration meets the preset first average duration condition or the preset second average duration condition, determining that the comprehensiveness of data acquisition is lower than the allowable range, wherein,
if the average browsing duration only meets the preset first average duration condition, the number of storage types of the acquired data is adjusted;
and if the average browsing duration only meets the preset second average duration condition, primarily judging that the accuracy of data acquisition is lower than the allowable range, and calculating the average search frequency of the keywords by a plurality of users so as to secondarily judge the accuracy of data acquisition.
Referring to fig. 2, the preset first average duration condition is that the average browsing duration is less than or equal to a preset first average duration; the condition of the preset second average time length is that the average browsing time length is longer than the preset first average time length and is smaller than or equal to the preset second average time length; the preset first average duration is smaller than the preset second average duration.
Specifically, the process of adjusting the number of storage types of the acquired data includes adjusting the number of storage types of the acquired data according to a difference value between the average browsing duration and a preset first average duration.
Specifically, if DeltaQ is less than or equal to DeltaQ 0, determining to use a preset first storage type quantity adjustment coefficient to adjust the quantity of the storage types of the acquired data to a first storage type quantity;
if DeltaQ > DeltaQ0, determining to use a preset second storage type quantity adjusting coefficient to adjust the quantity of the storage types of the acquired data to the second storage type quantity.
Specifically, the calculation formula of the average browsing duration is as follows:
wherein Q is the average browsing duration, Q h And c is a natural number which is greater than or equal to 1, wherein c is the number of the competitive users of the Internet of things for the h browsing time length of the competitive users of the Internet of things for the keyword information.
Specifically, a preset first average duration is denoted as Q1, a preset second average duration is denoted as Q2, a difference between an average browsing duration containing keyword information and the preset first average duration among the plurality of internet of things athletic users is denoted as Δq, Δq=q-Q1 is set, Δq0 is a preset average duration, a preset first storage type number adjustment coefficient is denoted as α1, a preset second storage type number adjustment coefficient is denoted as α2, wherein 1 < α1 < α2, Q1 < Q2, a number of storage types of acquired data is denoted as E, a number of storage types of the acquired data after adjustment is denoted as E ', E' =e×αi is set, wherein αi is a preset ith storage type number adjustment coefficient, and i=1, 2 is set.
According to the acquisition method, the preset first average time length and the preset second average time length are set, the comprehensiveness of data acquisition is judged according to the average browsing time lengths containing the keyword information in the users, the number of storage types of acquired data is increased according to the difference value between the average browsing time lengths containing the keyword information in the users and the preset first average time length, the influence on the comprehensiveness of data acquisition due to the fact that the storage types of the acquired data are too small is reduced, and the comprehensiveness of data acquisition and the effectiveness of data screening are further improved.
With continued reference to fig. 1, the secondary determining process for the accuracy of data collection includes expanding the number of data output types if the search frequency of the keyword by the user satisfies a preset search frequency condition, and the accuracy of data collection is determined to be lower than an allowable range.
With continued reference to fig. 1, the process of expanding the number of data output types includes increasing the number of data output types according to a difference between a preset search frequency and an average search frequency of keywords by a plurality of users,
the preset average search frequency condition is that the average search frequency of the plurality of users on the keywords is smaller than the preset average search frequency.
Specifically, the data output types can be athletic duration data, athletic fault type data and athletic times, and the data output is adjusted so that the range of screening the users of the Internet of things athletic is enlarged, and the accuracy of data acquisition is improved.
Specifically, the number of data output types is adjusted to a first number using a preset second output type number adjustment coefficient under a preset first search frequency difference condition;
adjusting the number of the data output types to a second number using a number adjustment coefficient of the preset first data output type under the preset second search frequency difference condition;
the preset first search frequency difference condition is that the difference between the preset search frequency and the average search frequency of the keywords by a plurality of users is smaller than or equal to the preset search frequency difference; the preset second search frequency difference condition is that the difference between the preset search frequency and the average search frequency of the keywords by a plurality of users is larger than the preset search frequency delta W0; the number adjustment coefficient of the type of the preset first data output is smaller than the number adjustment coefficient of the type of the preset second data output.
Specifically, the calculation formula of the average search frequency of the keywords by a plurality of users is as follows:
wherein W is the average searching frequency of a plurality of users to the keywords, and W h For the search frequency of the h user to the keywords, d is the total number of search users, and d is a natural number greater than or equal to 1.
Specifically, the average search frequency of the keywords by the plurality of users is denoted as W, the preset average search frequency is denoted as W0, the difference between the preset average search frequency and the average search frequency of the keywords by the plurality of users is denoted as Δw, Δw=w0-W is set, the quantity adjustment coefficient of the preset first data output type is denoted as β1, the quantity adjustment coefficient of the preset second data output type is denoted as β2, wherein 1 < β1 < β2, the quantity of the data output types is denoted as D, the quantity of the adjusted data output types is denoted as D ', D' =d×βk is set, wherein βk is the quantity adjustment coefficient of the type of the preset kth data output, and k=1, 2 is set.
According to the acquisition method, the preset search frequency is set, the information acquisition accuracy is judged to be lower than the allowable range according to the search frequency of the user on the keywords, the quantity of the data output types of the user is reduced according to the difference value between the preset search frequency and the average search frequency of the plurality of users on the keywords, the influence on the accuracy of data acquisition due to the fact that the quantity of the data output types is excessive is reduced, and the comprehensive data acquisition and the effectiveness of data screening are further improved.
With continued reference to fig. 3, the process of determining the validity of the data screening includes,
if the user feedback quantity duty ratio meets the preset first duty ratio condition or the preset second duty ratio condition, judging that the effectiveness of data screening is lower than the allowable range, wherein,
if the feedback quantity of the user on the push information only meets a preset first duty ratio condition, the quantity of the data output types is reduced;
if the feedback quantity of the users on the push information only meets the preset second duty ratio condition, primarily judging that the effectiveness of the data pool is lower than the allowable range, carrying out statistical calculation on the average use time of the athletic products by a plurality of users to carry out secondary judgment on the effectiveness of the data pool,
the preset first duty ratio condition is that the feedback duty ratio of the user to the push information is smaller than or equal to the preset first duty ratio; the preset second duty ratio condition is that the feedback duty ratio of the user to the push information is larger than the preset first duty ratio and smaller than or equal to the preset second duty ratio; the preset first duty cycle is less than the preset second duty cycle.
With continued reference to fig. 3, the process of reducing the number of types of data output includes reducing the types of data output according to a difference between a feedback number duty ratio of the push information and a preset first duty ratio.
Specifically, the process of reducing the number of the data output types includes reducing the number of the data output types according to the difference between the feedback number duty ratio of the push information and the preset first duty ratio of the user.
Specifically, if ΔM is less than or equal to ΔM0, determining to adjust the number of types of data output to a third number using a number adjustment coefficient that presets a third data output type;
if DeltaM > DeltaM0, determining to adjust the number of types of data output to a fourth number using a number adjustment coefficient preset for the fourth data output type.
Specifically, the feedback number of the user to the push information is denoted as F, the total number of the users who receive the push information is denoted as S, the feedback number of the user to the push information is denoted as M, m=f/S is set, the preset first feedback number is denoted as M1, the preset first feedback number is denoted as M2, the difference between the feedback number of the user to the push information and the preset first feedback number is denoted as Δm, Δm=m-M1, the preset feedback number is denoted as Δm0, the number adjustment coefficient of the preset third data output type is denoted as β3, the number adjustment coefficient of the preset fourth data output type is denoted as β4, wherein 0 < β3 < β4 < 1, the number of the data output types after the secondary adjustment is denoted as d″, D "=d' ×βu, wherein βu is the number adjustment coefficient of the preset U data output type, and u=3, 4 are set.
According to the acquisition method, the preset first duty ratio and the preset second duty ratio are set, the effectiveness of data screening is judged to be lower than the allowable range according to the feedback duty ratio of the user to the push information, the quantity of data output types is increased according to the difference value between the feedback duty ratio of the user to the push information and the preset duty ratio, the influence on the effectiveness of data screening due to the fact that the quantity of the data output types is too small is reduced, and the comprehensiveness of data acquisition and the effectiveness of data screening are further improved.
With continued reference to fig. 4, the secondary determination of the timeliness of the data pool includes,
if the average duration of the athletic product meets the preset average duration condition, the timeliness of the secondary judgment data pool is lower than the allowable range, the number of the ways of obtaining the information by the user is redetermined,
the preset average use duration condition is that the average duration of the user using the athletic product is smaller than the preset average use duration.
With continued reference to fig. 4, the process of redefining the number of ways in which the user obtains information includes increasing the number of ways in which the user obtains information according to a difference between an average use duration of the athletic products by the plurality of users and a preset average use duration.
Specifically, the number of ways for the user to obtain the information may be hundred degrees, google, knowledgeable, QQ browser.
Specifically, the number of paths for the user to acquire information is adjusted to the first path number by using a preset first path number adjustment coefficient under the condition of presetting a first average using time length difference value;
under the condition of presetting a second average using time length difference value, the number of paths for obtaining information by a user is regulated to a second path number by using a preset second information obtaining path number regulating coefficient;
the preset first average use time length difference condition is that the difference between the average use time length of the athletic products by a plurality of users and the preset average use time length is smaller than or equal to the preset average use time length; the preset second average use time length difference value condition is that the difference value between the average use time length of the athletic products by a plurality of users and the preset average use time length is larger than the preset activity delta T0; the preset first acquired information path quantity adjusting coefficient is smaller than the preset second acquired information path quantity adjusting coefficient.
Specifically, the calculation formula of the average use time length of the athletic products by a plurality of users is as follows:
wherein T is the average using time length of a plurality of users to the athletic products, and T h And v is the number of users using the athletic product, and v is a natural number greater than or equal to 1.
Specifically, the average use time length of the athletic products by a plurality of users is recorded as T, the preset average use time length is recorded as T0, the difference between the average use time length of the athletic products by a plurality of users and the preset average use time length is recorded as Δt, Δt=t-T0 is set, the first acquired information path number adjustment coefficient is recorded as γ1, the second acquired information path number adjustment coefficient is recorded as γ2, wherein 1 < γ1 < γ2, the number of paths of the user acquiring information is recorded as G, the number of paths of the user acquiring information after adjustment is recorded as G ', G' =g× (1+γp)/3 is set, γp is the p-th acquired information path number adjustment coefficient, and p=1, 2 is set.
According to the acquisition method, the preset first acquired information path adjustment coefficient and the preset second acquired information path adjustment coefficient are set, the timeliness of the data pool is judged to be lower than the allowable range according to the average use time length of the athletic products by a plurality of users, the number of paths of acquiring information by the users is increased according to the difference value between the average use time length of the athletic products by the users and the preset average use time length, the influence on the timeliness of the data pool due to the fact that the number of the paths of acquiring information by the users is too small is reduced, the comprehensiveness of data acquisition and the effectiveness of data screening are further improved, and therefore the convenience of participation of the users is improved.
Example 1
In embodiment 1, when W > W0, the difference between the preset search frequency and the average search frequency of the keywords by several users is recorded as Δw, and the number of data output types is adjusted. The average search frequency of the keywords by several users is denoted W, the preset average search frequency is denoted W0, the difference between the preset search frequency and the average search frequency of the keywords by several users is denoted Δw, Δw=w-W0 is set, the number adjustment coefficient of the preset first data output type is denoted β1, the number adjustment coefficient of the preset second data output type is denoted β2, wherein 1 < β1 < β2, the number of data output types is denoted D, w0=40 times/min, β1=1.1, β2=1.2, Δw0=30 times/min, d=30, w=60 times/min in this embodiment 1,
in this embodiment 1, Δw=60-40=20 times/minute is obtained, Δw is determined to be +.Δw0, and the number of types of data output is adjusted to the first output type D 'using the number adjustment coefficient β2 of the preset second data output type, and D' =30×1.2=36 is calculated.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (10)
1. The Internet of things athletic information collection method based on the network social contact is characterized by comprising the following steps:
step S1, screening the Internet of things athletic information in a social platform based on the characteristics of the Internet of things athletic information, and determining an Internet of things athletic user based on the Internet of things athletic information;
step S2, counting browsing time lengths containing keyword information in a plurality of competitive users of the Internet of things, and calculating average browsing time lengths according to the counting result;
step S3, if the comprehensiveness of the data acquisition process is judged to be lower than the allowable range based on the average browsing duration, the number of storage types of the acquired data is adjusted, or the accuracy of data acquisition is preliminarily judged to be lower than the allowable range, and the average search frequency of a plurality of users for keywords is calculated;
step S4, if the accuracy of data acquisition is secondarily judged to be lower than the allowable range based on the average search frequency of the keywords by the plurality of users, the number of data output types is expanded;
step S5, counting the number of users feeding back the push information in a plurality of users after the number of the data output types is expanded, and calculating the feedback number proportion of the users to the push information based on the counting result of the number of the users;
step S6, if the effectiveness of data screening is judged to be lower than the allowable range based on the feedback quantity proportion of the user to the push information, the quantity of data output types is reduced, or the timeliness of the data pool is preliminarily judged to be lower than the allowable range, and the average use time length of a plurality of users to the athletic products is calculated in a statistics mode;
and S7, if the timeliness of the secondary judgment data pool based on the average use time of the athletic products by the users is lower than the allowable range, re-determining the number of the ways of acquiring the information by the users.
2. The method for collecting athletic information of internet of things based on social networking of claim 1, wherein in step S3, the determining of the comprehensiveness of the data collection includes determining that the comprehensiveness of the data collection is lower than the allowable range if the average browsing duration satisfies a preset first average duration condition or a preset second average duration condition, wherein,
if the average browsing duration only meets the preset first average duration condition, the number of storage types of the acquired data is adjusted;
and if the average browsing duration only meets the preset second average duration condition, primarily judging that the accuracy of data acquisition is lower than the allowable range, and calculating the average search frequency of the keywords by a plurality of users so as to secondarily judge the accuracy of data acquisition.
3. The internet of things athletic information collection method based on network social contact according to claim 2, wherein the preset first average duration condition is that the average browsing duration is less than or equal to a preset first average duration; the condition of the preset second average time length is that the average browsing time length is longer than the preset first average time length and is smaller than or equal to the preset second average time length; the preset first average duration is smaller than the preset second average duration.
4. The Internet of things athletic information collection method of claim 3, wherein the secondary judgment process for the accuracy of data collection includes expanding the number of data output types if the search frequency of the user for the keywords satisfies a preset search frequency condition, the accuracy of the secondary judgment data collection is lower than an allowable range,
the preset average search frequency condition is that the average search frequency of the plurality of users on the keywords is smaller than the preset average search frequency.
5. The internet of things athletic information collection method based on the network social connection of claim 4, wherein in the step S3, the process of expanding the number of the storage types of the collected data includes increasing the number of the storage types of the collected data according to a difference between the average browsing duration and a preset first average duration.
6. The method for collecting athletic information of internet of things based on social networking of claim 5, wherein in the step S4, the expanding the number of data output types includes increasing the number of data output types according to a difference between a preset search frequency and an average search frequency of keywords by a plurality of users.
7. The method for collecting athletic information of internet of things based on social networking of claim 6, wherein in step S6, the determining of the validity of the data filtering includes determining that the validity of the data filtering is lower than the allowable range if the user feedback number ratio satisfies a preset first ratio condition or a preset second ratio condition,
if the feedback quantity of the user on the push information only meets a preset first duty ratio condition, the quantity of the data output types is reduced;
if the feedback quantity of the users on the push information only meets a preset second duty ratio condition, primarily judging that the effectiveness of the data pool is lower than an allowable range, and carrying out statistical calculation on average use time of the athletic products by a plurality of users so as to secondarily judge the effectiveness of the data pool;
the preset first duty ratio condition is that the feedback duty ratio of the user to the push information is smaller than or equal to the preset first duty ratio; the preset second duty ratio condition is that the feedback duty ratio of the user to the push information is larger than the preset first duty ratio and smaller than or equal to the preset second duty ratio; the preset first duty cycle is less than the preset second duty cycle.
8. The method for collecting athletic information of internet of things based on social networking of claim 7, wherein in step S7, the secondary determining process of the timeliness of the data pool includes, if the average duration of using the athletic product satisfies a preset average duration condition, determining that the timeliness of the data pool is lower than the allowable range, re-determining the number of ways of obtaining information by the user,
the preset average use duration condition is that the average duration of the user using the athletic product is smaller than the preset average use duration.
9. The method for collecting athletic information of the internet of things based on the social networking of claim 8, wherein the step of reducing the number of types of data output includes reducing the number of types of data output according to a difference between a feedback number duty ratio of the user to the push information and a preset first duty ratio.
10. The method according to claim 9, wherein in the step S7, the step of redefining the number of paths for the user to acquire information includes increasing the number of paths for the user to acquire information according to a difference between an average use duration of the athletic products by the plurality of users and a preset average use duration.
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