Control method and device of WiFi device, electronic device and storage medium

Abstract

Embodiments of the present application provide a WiFi device control method and device, an electronic device and a storage medium, the method comprising: obtaining interaction information between a smart terminal and a WiFi device; identifying a use requirement of a WiFi device signal strength according to the interaction information, and determining an adjustment strategy corresponding to the use requirement, the adjustment strategy comprising at least a power enhancement time period and a power reduction time period; enhancing the transmission power of the WiFi device in the power enhancement time period, and reducing the transmission power of the WiFi device in the power reduction time period.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of network communication device control, in particular to a WiFi device control method, a WiFi device control apparatus, an electronic device and a computer readable storage medium. BACKGROUND

[0002] With the development of network technology, a household broadband user will basically use a WiFi device, and once the WiFi device is set, it will not be modified in most cases. However, for the use of WiFi, most people follow a simple repetitive pattern: for example, frequent use from 7-9 pm, and more access devices; the use of WiFi is relatively less in the early morning. The transmission power of the WiFi device is fixed, and it is easy to keep the WiFi device in a high power state for a long time, resulting in unnecessary energy consumption of the WiFi device. SUMMARY

[0003] The embodiments of the present application provide a WiFi device control method, apparatus, electronic device and computer readable storage medium to solve or partially solve the problem of unnecessary energy consumption of WiFi devices in related technologies.

[0004] The embodiments of the present application disclose a WiFi device control method, comprising:

[0005] Obtaining interaction information between a smart terminal and a WiFi device;

[0006] Identifying a use demand of a signal strength of the WiFi device according to the interaction information, and determining an adjustment strategy corresponding to the use demand, the adjustment strategy at least including a power enhancement time period and a power reduction time period;

[0007] Enhancing the transmission power of the WiFi device in the power enhancement time period, and reducing the transmission power of the WiFi device in the power reduction time period.

[0008] Optionally, the interaction information at least includes a connection time of the smart terminal connecting the WiFi device, an RSSI value when the smart terminal connects the WiFi device, an online duration and an online rate of the smart terminal, and the identifying the use demand of the signal strength of the WiFi device according to the interaction information, and determining the adjustment strategy corresponding to the use demand, comprises:

[0009] Identifying the use demand of the signal strength of the WiFi device by using at least one of the connection time, the RSSI value, the online duration and the online rate, and determining the adjustment strategy corresponding to the use demand.

[0010] Optionally, the at least one of the connection time, the RSSI value, the online duration and the online rate is used to identify the use demand of the WiFi device signal strength, and an adjustment strategy corresponding to the use demand is determined, including:

[0011] A signal strength adjustment time key factor β of the WiFi device is acquired;

[0012] 15 days are taken as a basic unit, and a time of each signal adjustment is recorded as T up -.

[0013] A day is divided into 24 time periods, and a time period in which the adjustment time is located is recorded;

[0014] In a 15-day time period, the adjustment time key factor β adjustment is summed up in the 24 time periods, and an nth hour time period is recorded as ∑β adjustment n .

[0015] In a 15-day time period, the adjustment time key factor β adjustment is summed up, and is recorded as ∑β adjustment i .

[0016] When the following conditions are met simultaneously, the nth hour is considered as an adjustment time period:

[0017] (1) ∑β adjustment n / ∑β adjustment i ≥ a1;

[0018] (2) The number of adjustment operation days in the 15-day time period is greater than or equal to d1;

[0019] (3) The number of smart terminals accessing the WiFi device is greater than or equal to e1;

[0020] (4) The RSSI value acquired by each smart terminal accessing the WiFi device is less than or equal to f1;

[0021] Wherein, the n is an integer from 1 to 24, used to represent an nth hour in a day corresponding to a time period; and the i is an adjustment number.

[0022] Optionally, the at least one of the connection time, the RSSI value, the online duration and the online rate is used to identify the use demand of the WiFi device signal strength, and an adjustment strategy corresponding to the use demand is determined, further including:

[0023] A signal strength adjustment time key factor β of the WiFi device is acquired;

[0024] 15 days are taken as a basic unit, and a time of each signal adjustment is recorded as T down -.

[0025] Divide a day into 24 time periods, and record the time period in which the lowering time is located;

[0026] In a 15-day period, sum up the lowering time key factor βlowering in 24-hour time periods, and record the mth hour time period:∑βlowering m ;

[0027] In a 15-day period, sum up the lowering time key factor βlowering, and record it as:∑βlowering k ;

[0028] When the following conditions are met simultaneously, the mth hour is considered as a lowering time period:

[0029] (1)∑βlowering m / ∑βlowering k ≥a2;

[0030] (2) The number of lowering operations in 15 days at the mth time is ≥d2;

[0031] (3) The number of smart terminals accessing the WiFi device is ≤e2;

[0032] (4) The RSSI value obtained by each terminal accessing the WiFi is ≥f2;

[0033] Wherein, the m is an integer from 1 to 24, used to represent the time period corresponding to the nth hour of a day; the k is the number of lowering times.

[0034] Optionally, the step of enhancing the transmission power of the WiFi device in the power enhancement time period comprises:

[0035] Record the raising time t up-n-i in all raising time periods respectively, calculate the self-learning raising time of the time period corresponding to the nth hour,

[0036] Self-learn to T up-n time, obtain the number of smart terminals located in the WiFi network and the current RSSI value currently received by each smart terminal in the first 10 minutes of raising the transmission power of the WiFi device;

[0037] If at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the raising condition, then enhance the transmission power of the WiFi device;

[0038] Wherein, T up-n represents the self-learning raising time, and the unit is: 1 min; t up-n-iThis represents the actual time spent in a high WiFi intensity period within the nth adjustment time interval, in units of 1 minute; Time n-up This represents the total number of increases within the nth hour of a 15-day period.

[0039] Optionally, reducing the transmission power of the WiFi device during the specified kilometer reduction time period includes:

[0040] Record the reduction time T for each reduction period. down-n Calculate the self-learning adjustment time for the time period corresponding to the nth hour.

[0041] Self-learning T down-n The time frame is as follows: in the 10 minutes prior to reducing the transmission power of the WiFi device, the number of smart terminals in the WiFi network and the current RSSI value received by each smart terminal are obtained.

[0042] If at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the reduction condition, then the transmission power of the WiFi device is reduced.

[0043] Among them, T down-n This indicates the self-learning time reduction, in units of 1 minute; t down-n-i This represents the actual power-on time within the nth downtime period, in units of 1 minute; Time n-down This represents the total number of reductions within the nth hour of a 15-day period.

[0044] Optionally, the smart terminal includes at least one of a mobile phone, a laptop computer, a personal computer, and a smart speaker.

[0045] This invention also discloses a control device for a WiFi device, comprising:

[0046] The interactive information acquisition module is used to acquire interactive information between the smart terminal and the WiFi device;

[0047] The adjustment strategy determination module is used to identify the usage requirements of the WiFi device signal strength based on the interaction information, and determine the adjustment strategy corresponding to the usage requirements. The adjustment strategy includes at least a power enhancement period and a power reduction period.

[0048] The device adjustment module is used to increase the transmission power of the WiFi device during the power enhancement period and decrease the transmission power of the WiFi device during the power reduction period.

[0049] Optionally, the interaction information at least includes a connection time of the smart terminal connecting the WiFi device, an RSSI value when the smart terminal connects the WiFi device, an online duration and an online rate of the smart terminal, and the adjustment strategy determination module is specifically configured to:

[0050] At least one of the connection time, the RSSI value, the online duration and the online rate is used to identify a use demand of the WiFi device signal strength, and an adjustment strategy corresponding to the use demand is determined.

[0051] Optionally, the adjustment strategy determination module is specifically configured to:

[0052] obtain a signal strength adjustment time key factor β of the WiFi device;

[0053] 15 days are taken as a basic unit, and a time of each signal adjustment is recorded, denoted as T up -;

[0054] One day is divided into 24 time periods, and a time period in which the adjustment time is located is recorded;

[0055] In a 15-day time period, the adjustment time key factor β is summed up in the 24-hour time periods, and the nth hour time period is recorded as ∑β n ;

[0056] In a 15-day time period, the adjustment time key factor β is summed up, denoted as ∑β i ;

[0057] When the following conditions are met simultaneously, the nth hour is considered as an adjustment time period:

[0058] (1) ∑β n / ∑β i ≥ a1;

[0059] (2) The number of adjustment operations in the 15-day time period is greater than or equal to d1;

[0060] (3) The number of smart terminals accessing the WiFi device is greater than or equal to e1;

[0061] (4) RSSI values obtained by each smart terminal accessing the WiFi device are less than or equal to f1;

[0062] Wherein, the n is an integer from 1 to 24, used to represent a time period corresponding to the nth hour in a day; and the i is an adjustment number.

[0063] Optionally, the adjustment strategy determination module is specifically configured to:

[0064] A key factor β of a time of reducing a WiFi signal strength;

[0065] Taking 15 days as a basic unit, a time of each signal reduction is recorded as T down -;

[0066] A day is divided into 24 time periods, and a time period in which the time of reduction is recorded is recorded;

[0067] In a 15-day period, a key factor β of a time of reduction in each of the 24 time periods is summed up, and an mth hour time period is recorded as ∑β 调低 ; 调低m ;

[0068] In a 15-day period, a key factor β of a time of increase is summed up and recorded as ∑β 调低 ; 调低k ;

[0069] When the following conditions are met simultaneously, the mth hour is considered as a time period of reduction:

[0070] (1) ∑β 调低m / ∑β 调低k ≥a2;

[0071] (2) A number of times of reduction in the mth hour in 15 days ≥d2;

[0072] (3) A number of intelligent terminals accessing the WiFi device ≤e2;

[0073] (4) RSSI values obtained by each terminal accessing the WiFi ≥f2;

[0074] Wherein, the m is an integer of 1-24, used to represent an nth hour in a day corresponding to a time period; and the k is a number of times of reduction.

[0075] Optionally, the device adjustment module is specifically used for:

[0076] A time of increase t up-n-i in each time period of increase is recorded respectively, and a self-learning time of increase of the nth hour corresponding to a time period is calculated,

[0077] The self-learning is to T up-n , and a number of intelligent terminals in the WiFi network and current RSSI values currently received by each intelligent terminal are obtained in the first 10 minutes of increasing the transmission power of the WiFi device.

[0078] In a case where at least one of the number of intelligent terminals and the current RSSI values currently received by each intelligent terminal meets an increase condition, the transmission power of the WiFi device is increased.

[0079] wherein, T up-n represents self-learning up time, unit: 1 min; t up-n-i represents the actual time in the WiFi strength high in the nth up time period, unit: 1 min; Time n-up represents the total number of up times in the nth hour up time period in 15 days.

[0080] Optionally, the device adjustment module is specifically used for:

[0081] record the down time T down-n in all down time periods respectively, calculate the self-learning down time of the time period corresponding to the nth hour,

[0082] self-learning to T down-n time, obtain the number of intelligent terminals located in the WiFi network and the current RSSI value currently received by each intelligent terminal in the first 10 minutes of down-regulating the transmission power of the WiFi device;

[0083] if at least one of the number of intelligent terminals and the current RSSI value currently received by each intelligent terminal meets the down-regulation condition, then down-regulate the transmission power of the WiFi device;

[0084] wherein, T down-n represents self-learning down time, unit: 1 min; t down-n-i represents the actual boot time in the nth down time period, unit: 1 min; Time n-down represents the total number of down times in the nth hour down time period in 15 days.

[0085] Optionally, the intelligent terminal at least includes one of a mobile phone, a notebook computer, a personal computer and a smart sound.

[0086] The embodiment of the application further discloses an electronic device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

[0087] The memory is used to store a computer program.

[0088] The processor is used to execute the program stored on the memory, and realizes the method as described in the embodiment of the application.

[0089] The embodiment of the application further discloses a computer readable storage medium, which stores instructions, and when executed by one or more processors, makes the processor execute the method as described in the embodiment of the application.

[0090] Embodiments of the present application include the following advantages:

[0091] In embodiments of the present application, for a WiFi device, interaction information between the smart terminal and the WiFi device can be acquired, then the use requirement of the WiFi device signal strength can be identified according to the interaction information, and an adjustment strategy corresponding to the use requirement can be determined, the adjustment strategy at least including a power enhancement time period and a power reduction time period, then the transmission power of the WiFi device can be enhanced in the power enhancement time period, and the transmission power of the WiFi device can be reduced in the power reduction time period, so that the transmission power is self-learned and controlled through the interaction information between the WiFi device and the smart terminal during operation, so that the WiFi device can adjust the transmission power in different time periods, and under the condition of meeting the daily requirements of users, the unnecessary energy consumption of the WiFi device can be effectively controlled by adjusting the transmission power, and energy-saving control of the WiFi device is realized. BRIEF DESCRIPTION OF DRAWINGS

[0092] Figure 1 is a step flow chart of a WiFi device control method provided in embodiments of the present application;

[0093] Figure 2 is a structural block diagram of a WiFi device control device provided in embodiments of the present application;

[0094] Figure 3 is a block diagram of an electronic device provided in embodiments of the present application. DETAILED DESCRIPTION

[0095] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0096] As an example, for the use of WiFi, most people follow a simple repetitive pattern: for example, frequent use from 7-9 pm, and access to many devices; the frequency of using WiFi is relatively small in the early morning. The transmission power of the WiFi device is fixed, and the WiFi device is prone to remain in a high power state for a long time, resulting in unnecessary energy consumption of the WiFi device.

[0097] To this end, one of the core points of the application is to obtain the interaction information between the smart terminal and the WiFi device, then identify the use demand of the WiFi device signal strength according to the interaction information, determine the adjustment strategy corresponding to the use demand, the adjustment strategy at least including the power enhancement time period and the power reduction time period, then enhance the transmission power of the WiFi device in the power enhancement time period, and reduce the transmission power of the WiFi device in the power reduction time period, so that the transmission power is self-learned and controlled through the interaction information between the WiFi device and the smart terminal in the running process, so that the WiFi device can adjust the transmission power in different time periods, and the unnecessary energy consumption of the WiFi device can be effectively controlled by adjusting the transmission power under the condition of meeting the daily demand of the user, and the energy saving control of the WiFi device is realized.

[0098] Referring to Figure 1 , a step flow chart of a WiFi device control method provided in the embodiment of the application is shown, and specifically can include the following steps:

[0099] Step 101, obtaining the interaction information between the smart terminal and the WiFi device;

[0100] Optionally, the smart terminal can include one of a mobile phone, a notebook computer, a personal computer, and a smart sound, and the smart terminal can access the Internet through a wireless local area network by connecting the network provided by the WiFi device.

[0101] Wherein, the transmission power of the WiFi device is fixed, and the WiFi device is easy to keep in a high power state for a long time, resulting in unnecessary energy consumption of the WiFi device. Therefore, it is necessary to develop a WiFi device transmission power self-learning control scheme to realize the intelligent control of the WiFi device, so that the WiFi device can continuously learn the use habits of the family user, and realize the energy saving goal under the premise of not affecting the use of the user.

[0102] In a specific implementation, the interaction information between the smart terminal and the WiFi device can be acquired, and the interaction information can at least include a connection time of the smart terminal connecting the WiFi device, an RSSI (Received Signal Strength Indicator) value of the smart terminal connecting the WiFi device, an online duration of the smart terminal, and an online rate, etc. The connection time can be a time point corresponding to the time when the smart terminal connects the WiFi device. The RSSI value can be a signal strength corresponding to the time when the smart terminal connects the WiFi device, and the signal strength can be related to the transmission power of the WiFi device. The online duration can be a duration of the smart terminal connecting the WiFi device and performing a corresponding online operation. The online power can be a corresponding downlink network rate and uplink network rate of the smart terminal performing the online operation after connecting the WiFi device, and the present application does not limit this.

[0103] The interaction information can be divided into daily interaction information, hourly interaction information, and triggered interaction information according to different time dimensions.

[0104] In step 102, the use demand of the WiFi device signal strength is identified according to the interaction information, and an adjustment strategy corresponding to the use demand is determined, and the adjustment strategy at least includes a power enhancement time period and a power reduction time period.

[0105] In the embodiment of the present application, based on the acquired interaction information, the WiFi device itself can identify the use demand of the current WiFi signal strength according to the interaction information, and specify a corresponding adjustment strategy, so as to adjust the transmission power of the WiFi device through the adjustment strategy. For example, the WiFi use demand is strong, and the WiFi signal strength is adjusted to be high; the WiFi use demand is weak, and the WiFi signal strength is adjusted to be low.

[0106] In a specific implementation, the WiFi device can use at least one of the connection time, the RSSI value, the online duration, and the online rate to identify the use demand of the WiFi device signal strength, and determine an adjustment strategy corresponding to the use demand. Based on the adjustment strategy, the WiFi device can identify the time period of adjusting the WiFi signal strength to be high or low by using the self-learning use demand habit of the home WiFi signal strength.

[0107] The time period of adjusting the WiFi signal strength to be high (i.e., adjusting the transmission power to be high) can be identified by acquiring a signal strength adjustment time key factor β of the WiFi device, and taking 15 days as a basic unit, recording the time of each signal adjustment, and recording the time as T up- and then the time period in which the time of increasing is located is recorded, and the increasing time key factor β increasing is summed up in the 24 hours of each time period in the 15-day time period, and the nth hour time period is recorded:∑β increasing n ; the increasing time key factor β increasing is summed up in the 15-day time period, and is recorded as:∑β increasing i Then when the following conditions are met simultaneously, the nth hour is considered to be an increasing time period:

[0108] (1)∑β increasing n / ∑β increasing i ≥a1;

[0109] (2) the number of times of increasing operation in the 15 days at the nth time is ≥d1;

[0110] (3) the number of smart terminals accessing the WiFi device is ≥e1;

[0111] (4) the RSSI value obtained by each smart terminal accessing the WiFi device is ≤f1;

[0112] Wherein, a1, d1, e1, f1, etc. can be threshold values set according to the corresponding object, n is an integer from 1 to 24, representing the nth hour of a day; i is the number of times of increasing.

[0113] In addition, for the time period in which the WiFi signal strength is identified to be decreased (i.e. the transmission power is decreased), the decreasing time key factor β of the WiFi signal strength can be determined, then 15 days are taken as the basic unit, the time of each signal decrease is recorded, and is recorded as T down - and a day is divided into 24 hours of time period, the time period in which the time of decreasing is located is recorded, and the decreasing time key factor β decreasing is summed up in the 24 hours of each time period in the 15-day time period, and the mth hour time period is recorded:∑β decreasing m ; the decreasing time key factor β decreasing is summed up in the 15-day time period, and is recorded as:∑β decreasing k Then when the following conditions are met simultaneously, the mth hour is considered to be a decreasing time period:

[0114] (1)∑β decreasing m / ∑β decreasing k ≥a2;

[0115] (2) the number of times of decreasing operation in the 15 days at the mth time is ≥d2;

[0116] (3) the number of smart terminals accessing the WiFi device is ≤e2;

[0117] (4) the RSSI value obtained by each terminal accessing the WiFi is greater than or equal to f2;

[0118] Wherein, a2, d2, e2, f2, etc. can be threshold values set according to the corresponding objects, m is an integer of 1-24, representing the time period corresponding to the nth hour of a day; k is the number of times of reducing.

[0119] Step 103, increasing the transmission power of the WiFi device in the power increasing time period, and reducing the transmission power of the WiFi device in the power reducing time period.

[0120] In a specific implementation, after determining the time period for increasing and reducing the signal strength, for the WiFi device, the strength increasing and reducing time period can be further processed to determine the time for the WiFi device to execute the increasing and reducing of the transmission power, so as to adjust the transmission power in the corresponding time period, thereby performing self-learning control on the transmission power through the interaction information between the WiFi device and the smart terminal during operation, so that the WiFi device can adjust the transmission power in different time periods, and under the condition of meeting the daily needs of users, the unnecessary energy consumption of the WiFi device can be effectively controlled by adjusting the transmission power, and the energy saving control of the WiFi device is realized.

[0121] In a specific implementation, the increasing time of the WiFi signal strength can include: recording the increasing time t up-n-i in all increasing time periods respectively, calculating the self-learning increasing time of the time period corresponding to the nth hour, Self-learning to T up-n the number of smart terminals located in the WiFi network and the current RSSI value currently received by each smart terminal within the first 10 minutes of increasing the transmission power of the WiFi device; in the case that at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the increasing condition, the transmission power of the WiFi device is increased. Wherein, T up-n represents the self-learning increasing time, the unit is: 1 min; t up-n-i represents the actual time in the WiFi strength high state in the nth increasing time period, the unit is 1 min; Time n-up represents the total number of increasing times in the nth hour increasing time period within 15 days.

[0122] The reducing time of the WiFi signal strength can include: recording the reducing time T down-n in all reducing time periods respectively, calculating the self-learning reducing time of the time period corresponding to the nth hour, Self-learning to T down-nTime, the number of smart terminals located in the WiFi network and the current RSSI value currently received by each smart terminal are acquired in the first 10 minutes before the transmission power of the WiFi device is adjusted down; in the case that at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the adjustment down condition, the transmission power of the WiFi device is adjusted down. Wherein, T down-n represents the self-learning adjustment down time, and the unit is 1 min; t down-n-i represents the actual boot time in the nth adjustment down time period, and the unit is 1 min; Time n-down represents the total number of adjustments down in the nth hour adjustment down time period in 15 days.

[0123] It should be noted that the embodiments of the present application include but are not limited to the above examples, and it can be understood that those skilled in the art can also set according to actual needs under the guidance of the idea of the embodiments of the present application, and the present application does not limit this.

[0124] In the embodiments of the present application, for the WiFi device, the interaction information between the smart terminal and the WiFi device can be acquired, then the use demand of the WiFi device signal strength is identified according to the interaction information, and the adjustment strategy corresponding to the use demand is determined, the adjustment strategy at least includes the power enhancement time period and the power adjustment down time period, then the transmission power of the WiFi device can be enhanced in the power enhancement time period, and the transmission power of the WiFi device can be adjusted down in the power adjustment down time period, so that the transmission power is self-learned and controlled through the interaction information between the WiFi device and the smart terminal in the running process, so that the WiFi device can adjust the transmission power in different time periods, and the unnecessary energy consumption of the WiFi device can be effectively controlled by adjusting the transmission power under the condition of meeting the daily needs of the user, and the energy saving control of the WiFi device is realized.

[0125] In order for those skilled in the art to better understand the technical solutions in the embodiments of the present application, an example is exemplarily illustrated as follows:

[0126] S010: Define the WiFi signal strength adjustment up and down time key factor. According to the use habit of the user, the big data statistics are carried out, wherein, in the time period that the user often uses the terminal to surf the Internet, the time key factor is high, and in the time period that the user does not often use the terminal, the time key factor is small, and the time key factor in the weekend is slightly higher than that from Monday to Friday. In the embodiments of the present application, the WiFi signal strength adjustment up and down key factor of each 1-hour time period in 24 hours is defined as shown in the following table

[0127]

[0128]

[0129] S020: record the i-th time of increasing T at 15-day intervals up-i

[0130] From the first day 0 o'clock to the 15th day 24 o'clock, record the i-th time of increasing T up-i

[0131] S030: divide a day into 24-hour time periods, and record the time periods in which the increasing and decreasing times are located. After 15 days, update the increasing and decreasing times every 1 day in a windowed manner. That is, after 15 days, the data of the 16th day is to add the data of the current day and remove the data of the first day, only save 15 days of data, and update the increasing and decreasing time periods every 1 day in this way.

[0132] S040: calculate the increasing operation time period;

[0133] S041: in the 15-day time period, sum the increasing time key factor β increasing in the 24-hour time periods, respectively, and record the n-th hour time period: ∑β increasing n (n is 1, 2, 3…24-hour time period);

[0134] S042: in the 15-day time period, sum the increasing time key factor β increasing, denoted as: ∑β increasing i (i is the number of increasing times);

[0135] S043: when the following conditions are met at the same time, the n-th hour is considered to be an increasing time period:

[0136] (1) ∑β increasing n / ∑β increasing i ≥a1

[0137] (2) the number of increasing operation days in 15 days at the n-th hour is ≥d1

[0138] (3) the number of access WiFi terminals is ≥e1

[0139] (4) the rssi value obtained by each terminal accessing WiFi is ≤f1

[0140] Wherein, 20%≤a1≤30%, 7≤d1≤10, 6≤e1

[0141] There can be multiple increasing time periods in 24 hours of a day, if the increasing time periods are adjacent, the increasing time periods are combined, and the adjacent time periods are considered to be the increasing time period.

[0142] S050: calculate the decreasing operation time period;

[0143] S051: In the 15-day period, the lowered time key factor βlowered is summed up for 24 hours, and the mth hour period is recorded:∑βlowered m (m is 1, 2, 3…24 hours period);

[0144] S052: In the 15-day period, the lowered time key factor βlowered is summed up, and is recorded as:∑βlowered k (k is the number of times of lowering);

[0145] S053: When the following conditions are met simultaneously, the mth hour is considered as a lowered time period:

[0146] (1)∑βlowered m / ∑βlowered k ≥a2

[0147] (2) The number of lowering operations in 15 days at the mth moment is ≥d2

[0148] (3) The number of access WiFi terminals is ≤e2

[0149] (4) The RSSI value obtained by each terminal accessing WiFi is ≥f2

[0150] Wherein, 20%≤a2≤30%, 7≤d2≤10, 6≤e2.

[0151] It should be noted that for the method embodiment, in order to simply describe, it is expressed as a series of action combinations, but those skilled in the art should know that the embodiment of the present application is not limited by the described action sequence, because according to the embodiment of the present application, certain steps can be adopted in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions involved are not necessarily the necessary of the embodiment of the present application.

[0152] Referring to Figure 2 , a structural block diagram of a control device of a WiFi device provided in the embodiment of the present application is shown, which can specifically include the following modules:

[0153] An interaction information acquisition module 201 is used to acquire interaction information between a smart terminal and a WiFi device;

[0154] An adjustment strategy determination module 202 is used to identify the use demand of the WiFi device signal strength according to the interaction information, and determine an adjustment strategy corresponding to the use demand, the adjustment strategy at least including a power enhancement time period and a power lowering time period;

[0155] The device adjustment module 203 is configured to increase the transmission power of the WiFi device in the power increasing time period and decrease the transmission power of the WiFi device in the power decreasing time period.

[0156] In an optional embodiment, the interaction information at least includes a connection time of the smart terminal connecting the WiFi device, an RSSI value when the smart terminal connects the WiFi device, an online duration and an online rate of the smart terminal, and the adjustment strategy determination module 202 is specifically configured to:

[0157] adopt at least one of the connection time, the RSSI value, the online duration and the online rate to identify the use demand of the signal strength of the WiFi device, and determine the adjustment strategy corresponding to the use demand.

[0158] In an optional embodiment, the adjustment strategy determination module 202 is specifically configured to:

[0159] obtain a signal strength increasing time key factor β of the WiFi device;

[0160] take 15 days as a basic unit, record the time of each signal increasing, denoted as T up -;

[0161] divide one day into 24 time periods, and record the time period in which the increasing time is located;

[0162] sum up the increasing time key factor β in the 24 time periods in the 15-day time period, and record the nth hour time period: ∑β n ;

[0163] sum up the increasing time key factor β in the 15-day time period, denoted as: ∑β i ;

[0164] when the following conditions are met simultaneously, the nth hour is considered as an increasing time period:

[0165] (1) ∑β n / ∑β i ≥ a1;

[0166] (2) the number of times of increasing operation at the nth time in 15 days ≥ d1;

[0167] (3) the number of smart terminals accessing the WiFi device ≥ e1;

[0168] (4) the RSSI value obtained by each smart terminal accessing the WiFi device ≤ f1;

[0169] Wherein, the n is an integer of 1-24, used for representing the time period corresponding to the nth hour in a day; the i is the number of times of increasing.

[0170] In an optional embodiment, the adjustment strategy determination module 202 is specifically further used for:

[0171] determining the decreasing time key factor β of the WiFi signal strength;

[0172] taking 15 days as a basic unit, recording the time of each signal decreasing, denoted as T down -;

[0173] dividing a day into 24-hour time periods, recording the time period in which the decreasing time is located;

[0174] summing up the decreasing time key factor β 调低 in the 24-hour time periods in the 15-day time period, and recording the mth hour time period:∑β 调低m ;

[0175] summing up the increasing time key factor β 调低 in the 15-day time period, denoted as:∑β 调低k ;

[0176] when the following conditions are simultaneously satisfied, the mth hour is considered as a decreasing time period:

[0177] (1)∑β 调低m / ∑β 调低k ≥a2;

[0178] (2) the number of decreasing operations at the mth hour in the 15 days ≥d2;

[0179] (3) the number of intelligent terminals accessing the WiFi device ≤e2;

[0180] (4) the RSSI value obtained by each terminal accessing the WiFi ≥f2;

[0181] Wherein, the m is an integer of 1-24, used for representing the time period corresponding to the nth hour in a day; the k is the number of times of decreasing.

[0182] In an optional embodiment, the device adjustment module 203 is specifically used for:

[0183] respectively recording the increasing time t up-n-i in all increasing time periods, calculating the self-learning increasing time of the time period corresponding to the nth hour,

[0184] self-learning to T up-nThe time period is 10 minutes before the WiFi device's transmission power is increased. The number of smart terminals in the WiFi network and the current RSSI value received by each smart terminal are obtained.

[0185] If at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the increase condition, then the transmission power of the WiFi device is increased.

[0186] Among them, T up-n This indicates the self-learning adjustment time, in units of 1 minute; t up-n-i This represents the actual time spent in a high WiFi intensity period within the nth adjustment time interval, in units of 1 minute; Time n-up This represents the total number of increases within the nth hour of a 15-day period.

[0187] In one optional embodiment, the device adjustment module 203 is specifically used for:

[0188] Record the reduction time T for each reduction period. down-n Calculate the self-learning adjustment time for the time period corresponding to the nth hour.

[0189] Self-learning T down-n The time frame is as follows: in the 10 minutes prior to reducing the transmission power of the WiFi device, the number of smart terminals in the WiFi network and the current RSSI value received by each smart terminal are obtained.

[0190] If at least one of the number of smart terminals and the current RSSI value currently received by each smart terminal meets the reduction condition, then the transmission power of the WiFi device is reduced.

[0191] Among them, T down-n This indicates the self-learning time reduction, in units of 1 minute; t down-n-i This represents the actual power-on time within the nth downtime period, in units of 1 minute; Time n-down This represents the total number of reductions within the nth hour of a 15-day period.

[0192] In one alternative embodiment, the smart terminal includes at least one of a mobile phone, a laptop computer, a personal computer, and a smart speaker.

[0193] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0194] In addition, the embodiment of the present application further provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program is executed by the processor to implement each process of the control method of the WiFi device and achieve the same technical effects. To avoid repetition, details are not described herein.

[0195] The embodiment of the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement each process of the control method of the WiFi device and achieve the same technical effects. To avoid repetition, details are not described herein. The computer readable storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, etc.

[0196] Figure 3 A hardware structure diagram of an electronic device for implementing various embodiments of the present application.

[0197] The electronic device 300 includes, but is not limited to, a radio frequency unit 301, a network module 302, an audio output unit 303, an input unit 304, a sensor 305, a display unit 306, a user input unit 307, an interface unit 308, a memory 309, a processor 310, and a power supply 311, etc. Those skilled in the art can understand that the electronic device structure involved in the embodiments of the present application does not constitute a limitation on the electronic device, and the electronic device can include more or fewer components than the diagram, or combine certain components, or different component arrangements. In the embodiments of the present application, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle terminal, a wearable device, and a pedometer, etc.

[0198] It should be understood that in the embodiments of the present application, the radio frequency unit 301 can be used for receiving and sending signals in the process of information or call. Specifically, after receiving the downlink data from the base station, the processor 310 processes it. In addition, the uplink data is sent to the base station. Generally, the radio frequency unit 301 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc. In addition, the radio frequency unit 301 can also communicate with the network and other devices through a wireless communication system.

[0199] The electronic device provides wireless broadband Internet access for users through the network module 302, such as helping users to send and receive emails, browse web pages, and access streaming media, etc.

[0200] The audio output unit 303 can convert audio data, which is received by the radio frequency unit 301 or the network module 302 or stored in the memory 309, into an audio signal and output as sound. Also, the audio output unit 303 can provide an audio output related to a particular function performed by the electronic device 300 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 303 includes a speaker, a buzzer, and a receiver, etc.

[0201] The input unit 304 is used to receive audio or video signals. The input unit 304 can include a graphics processor (GPU) 3041 and a microphone 3042. The graphics processor 3041 processes image data of a still picture or a video obtained by an image capture device (e.g., a camera) in a video capture mode or an image capture mode. The processed image frame can be displayed on the display unit 306. The image frame processed by the graphics processor 3041 can be stored in the memory 309 (or other storage medium) or transmitted via the radio frequency unit 301 or the network module 302. The microphone 3042 can receive sound and can process such sound as audio data. The processed audio data can be converted into a format transmittable to a mobile communication base station via the radio frequency unit 301 in the case of a telephone call mode.

[0202] The electronic device 300 further includes at least one sensor 305, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 3061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 3061 and / or the backlight when the electronic device 300 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), and can detect the magnitude and direction of gravity when at rest, which can be used to identify the electronic device posture (such as screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, knock), etc. The sensor 305 can also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be described here.

[0203] The display unit 306 is used to display information input by a user or information provided to a user. The display unit 306 can include a display panel 3061, which can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), etc.

[0204] The user input unit 307 can be used to receive inputted numerical or character information, and to generate key signal inputs related to user settings and function controls of the electronic device. Specifically, the user input unit 307 includes a touch panel 3071 and other input devices 3072. The touch panel 3071, also called a touch screen, can collect a user's touch operation (such as a user's operation on or near the touch panel 3071 using a finger, a stylus, or any suitable object or accessory) on or near the touch panel 3071. The touch panel 3071 can include two parts, a touch detection device and a touch controller. The touch detection device detects a user's touch position and detects a signal caused by the touch operation, and transmits the signal to the touch controller. The touch controller receives the touch information from the touch detection device, converts it into touch coordinates, and sends it to the processor 310, receives commands from the processor 310 and executes them. In addition, the touch panel 3071 can be implemented in various types such as a resistive type, a capacitive type, an infrared type, and a surface acoustic wave type. In addition to the touch panel 3071, the user input unit 307 can include other input devices 3072. Specifically, the other input devices 3072 can include, but are not limited to, a physical keyboard, function keys (such as volume control buttons, on / off buttons, etc.), trackballs, mice, joysticks, etc., which will not be described here.

[0205] Further, the touch panel 3071 can be overlaid on the display panel 3061, and when the touch panel 3071 detects a touch operation on or near it, it transmits to the processor 310 to determine the type of touch event, and then the processor 310 provides corresponding visual output on the display panel 3061 according to the type of touch event. It can be understood that in one embodiment, the touch panel 3071 and the display panel 3061 are implemented as two independent components to realize the input and output functions of the electronic device, but in some embodiments, the touch panel 3071 and the display panel 3061 can be integrated to realize the input and output functions of the electronic device, which is not limited here.

[0206] The interface unit 308 is an interface for connecting external devices to the electronic device 300. For example, the external devices can include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input / output (I / O) port, a video I / O port, an earphone port, etc. The interface unit 308 can be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the electronic device 300 or can be used to transmit data between the electronic device 300 and external devices.

[0207] The memory 309 can be used to store software programs and various data. The memory 309 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; and the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), and the like. In addition, the memory 309 can include a high-speed random access memory, and can also include a nonvolatile memory, for example, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device.

[0208] The processor 310 is the control center of the electronic device, connects all parts of the electronic device through various interfaces and lines, executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 309 and calling data stored in the memory 309, and thus monitors the whole electronic device. The processor 310 can include one or more processing units; preferably, the processor 310 can integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and application programs, and the like, and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 310.

[0209] The electronic device 300 can also include a power supply 311 (such as a battery) for supplying power to various components; preferably, the power supply 311 can be logically connected to the processor 310 through a power management system, so as to realize the functions of managing charging, discharging, and power consumption management, and the like through the power management system.

[0210] In addition, the electronic device 300 includes some functional modules that are not shown and will not be described here.

[0211] It should be noted that in this document, the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article, or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article, or device including the element.

[0212] Those skilled in the art can clearly understand that the above-mentioned embodiment method can be realized by means of software and necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, air conditioner, or network device) execute the method described in each embodiment of the present application.

[0213] The embodiments of the present application are described above with reference to the accompanying drawings, but the present application is not limited to the above-mentioned specific embodiments, and the above-mentioned specific embodiments are only illustrative, not restrictive. Those skilled in the art can make many forms without departing from the purpose of the present application and the scope protected by the claims under the inspiration of the present application, which all belong to the protection of the present application.

[0214] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the embodiments of the present application can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solutions. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0215] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0216] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0217] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0218] In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit.

[0219] The functions, if realized in the form of software functional units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the application or the part of the prior art that contributes essentially or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the application. The foregoing storage medium includes various storage media that can store program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk.

[0220] The above is only a specific embodiment of the application, but the protection scope of the application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the application, which should be covered within the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A control method of a WiFi device, characterized by, The method comprises the following steps: acquiring interaction information between a smart terminal and a WiFi device; identifying a use demand of the WiFi device signal strength according to the interaction information, and determining an adjustment strategy corresponding to the use demand, the adjustment strategy at least comprising a power enhancement time period and a power reduction time period; enhancing the transmission power of the WiFi device in the power enhancement time period, and reducing the transmission power of the WiFi device in the power reduction time period; wherein the interaction information at least comprises a connection time of the smart terminal connecting the WiFi device, an RSSI value when the smart terminal connects the WiFi device, an online duration and an online rate of the smart terminal; the step of identifying the use demand of the WiFi device signal strength according to the interaction information, and determining the adjustment strategy corresponding to the use demand, comprises: identifying the use demand of the WiFi device signal strength according to at least one of the connection time, the RSSI value, the online duration and the online rate, and determining the adjustment strategy corresponding to the use demand; the step of identifying the use demand of the WiFi device signal strength according to at least one of the connection time, the RSSI value, the online duration and the online rate, and determining the adjustment strategy corresponding to the use demand, comprises: obtaining a signal strength up-down time key factor β of the WiFi device; the signal strength up-down time key factor β comprises an up time key factor β 调高 ; Taking 15 days as a basic unit, record the time of each signal increase, marked as T up - i; dividing one day into 24 time periods, and recording a time period in which a time of increasing is located; The time criticality factor β is raised for each 24 hour period within a 15 day period 调高 is summed and recorded for the nth hour period:∑β 调高n ; Within a 15-day period, the key time factor β was increased. 调高 Summation is performed and denoted as: ∑β 调高i ; when the following conditions are simultaneously satisfied, the nth hour is considered as the time of increasing: (1)∑β 调高n / ∑β 调高i ≥a1； (2) the number of days of increasing operation at the nth time within 15 days is greater than or equal to d1; (3) the number of smart terminals accessing the WiFi device is greater than or equal to e1; (4) the RSSI value obtained by each smart terminal accessing the WiFi device is less than or equal to f1; wherein a1, d1, e1 and f1 are threshold values preset according to corresponding objects, n is an integer from 1 to 24, and is used to represent a time period corresponding to the nth hour in a day; and i is the number of times of increasing.

2. The method of claim 1, wherein, the step of identifying the use demand of the WiFi device signal strength according to at least one of the connection time, the RSSI value, the online duration and the online rate, and determining the adjustment strategy corresponding to the use demand, further comprises: A high-low time key factor β of determining the WiFi signal strength; the high-low time key factor β further comprises a low time key factor β 调低 ; Taking 15 days as a basic unit, record the time of each signal reduction, marked as T down -k; dividing one day into 24 time periods, and recording a time period in which a time of reducing is located; The time critical factor β is reduced for 24 hours time periods over a 15 day period 调低 is summed and recorded for the mth hour time period:∑β 调低m ; The time criticality factor β is adjusted over a period of 15 days 调低 is summed and denoted ∑β 调低k ; when the following conditions are simultaneously satisfied, the mth hour is considered as the time of reducing: (1)∑β 调低m / ∑β 调低k ≥a2； (2) the number of days of reducing operation at the mth time within 15 days is greater than or equal to d2; (3) the number of smart terminals accessing the WiFi device is less than or equal to e2; (4) the RSSI value obtained by each smart terminal accessing the WiFi device is greater than or equal to f2; wherein a2, d2, e2 and f2 are threshold values preset according to corresponding objects, m is an integer from 1 to 24, and is used to represent a time period corresponding to the nth hour in a day; and k is the number of times of reducing.

3. The method of claim 2, wherein, the step of enhancing the transmission power of the WiFi device in the power enhancement time period, comprises: record the time t of each time period of the time increase up-n-i , calculate the self-learning time increase time of the time period corresponding to the nth hour, Self-learning to T up-n The number of intelligent terminals in the WiFi network and the current RSSI value currently received by each intelligent terminal are acquired 10 minutes before the transmission power of the WiFi device is increased. If at least one of the number of the intelligent terminals and the current RSSI value currently received by each intelligent terminal meets the power-up condition, the transmission power of the WiFi device is enhanced. Wherein, T up-n represents self-learning time, unit: 1min; t up-n-i represents the actual time in the n time period of increasing WiFi strength, unit: 1min; Time n-up represents the total number of times of increasing in the n hour time period of increasing in 15 days.

4. The method of claim 2, wherein, The transmission power of the WiFi device is reduced in the power reduction period, including: record the time T of each time period of the time reduction down-n , calculate the self-learning time reduction time of the time period corresponding to the nth hour, Self-learning to T down-n The number of intelligent terminals in the WiFi network and the current RSSI value currently received by each intelligent terminal are acquired 10 minutes before the transmission power of the WiFi device is adjusted down. If at least one of the number of the intelligent terminals and the current RSSI value currently received by each intelligent terminal meets the power-down condition, the transmission power of the WiFi device is reduced. Wherein, T down-n represents the self-learning time, in units of 1 min; t down-n-i represents the actual boot time in the nth time period, in units of 1 min; Time n-down represents the total number of times of reducing in the nth time period of the 15th hour.

5. The method of claim 1, wherein, The intelligent terminal at least includes one of a mobile phone, a notebook computer, a personal computer, and a smart sound.

6. A control apparatus of a WiFi device, characterized by, Including: An interaction information acquisition module, configured to acquire interaction information between the intelligent terminal and the WiFi device; An adjustment strategy determination module, configured to identify a use demand of the WiFi device signal strength according to the interaction information, and determine an adjustment strategy corresponding to the use demand, the adjustment strategy at least including a power enhancement period and a power reduction period; A device adjustment module, configured to enhance the transmission power of the WiFi device in the power enhancement period, and reduce the transmission power of the WiFi device in the power reduction period. The interaction information at least includes a connection time of the intelligent terminal connecting the WiFi device, an RSSI value when the intelligent terminal connects the WiFi device, an online duration and an online rate of the intelligent terminal, and the adjustment strategy determination module is configured to: Identify the use demand of the WiFi device signal strength by using at least one of the connection time, the RSSI value, the online duration, and the online rate, and determine the adjustment strategy corresponding to the use demand; The adjustment strategy determination module is configured to: obtaining a signal strength up-down time key factor β of the WiFi device; the signal strength up-down time key factor β comprises an up time key factor β 调高 ; Taking 15 days as a basic unit, record the time of each signal increase, marked as T up - i; Divide one day into 24 time periods, and record a time period in which the power-up time is located; The time criticality factor β is raised for 24 hours periods, respectively, over a period of 15 days 调高 The summations are performed, recording the nth hour period:∑β 调高n ; Within a 15-day period, the key time factor β was increased. 调高 Summation is performed and denoted as: ∑β 调高i ; When the following conditions are met simultaneously, the nth hour is considered as a power-up time period: (1)∑β 调高n / ∑β 调高i ≥a1； (2) The number of the intelligent terminals accessing the WiFi device is greater than or equal to e1; (4) The RSSI value acquired by each intelligent terminal accessing the WiFi device is less than or equal to f1; Wherein, the a1, d1, e1 and f1 are threshold values preset according to the corresponding objects, the n is an integer from 1 to 24, used to represent the time period corresponding to the nth hour in a day; and the i is the power-up times. The communication interface, the storage and the communication bus complete mutual communication; 7. An electronic device, comprising: The storage is used to store computer programs; The processor is used to execute the programs stored on the storage, and implement the method in any one of claims 1-5.

8. A computer readable storage medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the method in any one of claims 1-5. ​

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