CN118042544A - Switching method of wireless communication network based on intelligent equipment of Internet of things - Google Patents
Switching method of wireless communication network based on intelligent equipment of Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of wireless communication, and discloses a switching method of a wireless communication network based on intelligent equipment of the Internet of things; collecting comprehensive communication data of a wireless communication network, judging whether to enter a network switching mode, collecting communication operation and maintenance data of intelligent equipment, generating a unit load demand value, collecting a unit load total value and a load occupation value of a base station, generating a unit load idle value, obtaining a unit demand residual value, and screening out a target base station for switching; compared with the prior art, the method and the device can accurately acquire the unit load demand of the intelligent equipment and the unit load idle state of the base station, mark the available base station meeting the wireless communication network switching demand by analyzing whether the load demand and the load idle state in unit time meet the demand, accurately mark the target base station in the available base station as the object of network switching, and avoid bad wireless communication phenomena such as blocking, delay and the like.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a switching method of a wireless communication network based on intelligent equipment of the Internet of things.
Background
The wireless network is a network capable of realizing interconnection of various communication devices without wiring, the coverage of the wireless network technology is wide, a solid communication foundation can be provided for intelligent devices in the construction of the Internet of things, and in the Internet of things, in order to ensure that the wireless communication network of the intelligent devices is in a high-quality state, the wireless communication network of the intelligent devices needs to be switched in time under the condition that the wireless communication quality of the intelligent devices is abnormally low.
The Chinese patent with the application publication number of CN116647889B discloses a switching method of a wireless communication network applied to intelligent equipment of the Internet of things, and the network state of the current wireless communication network is obtained by constructing a wireless communication network model according to an incidence matrix between the intelligent equipment of the Internet of things and a network access terminal; acquiring the running states of intelligent equipment of the Internet of things and the communication requirements under different running states; determining network parameters of intelligent equipment of the Internet of things in different communication modes; according to the network parameters, calculating network state values of intelligent equipment of the Internet of things in different communication modes, switching to a communication mode sequenced to be the first according to the sequence of the calculated network state values, wherein the communication requirements of the terminal nodes such as service flow and time delay are different in different operation time periods;
The prior art has the following defects:
According to the existing switching method of the wireless communication network, after the intelligent equipment is required for the whole communication load under the wireless communication network, a base station which can meet the high-quality operation of the intelligent equipment is selected from the alternative base stations to serve as a switching target of the wireless communication network, and the mode can meet the whole operation demand load of the intelligent equipment, but when the intelligent equipment has a change condition that the demand load is suddenly increased in a certain time period, the wireless communication network corresponding to the switched base station is prone to defects such as blocking and delay, and therefore the switching effect of the wireless communication network is reduced, and the wireless communication quality is poor.
In view of the above, the present invention proposes a method for switching wireless communication networks based on intelligent devices of the internet of things to solve the above-mentioned problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the following technical scheme for achieving the purposes: the switching method of the wireless communication network based on the intelligent equipment of the Internet of things is applied to a network server and comprises the following steps:
s1: collecting comprehensive communication data of a wireless communication network, and generating a network switching value based on the comprehensive communication data;
S2: comparing the network switching value with a preset network switching threshold value, and judging whether to enter a network switching mode or not based on a comparison result; if the network switching mode is entered, executing S3-S5; if the network switching mode is not entered, repeating the steps S1-S2;
S3: collecting communication operation and maintenance data of the intelligent equipment, and generating a unit load demand value based on the communication operation and maintenance data;
S4: collecting a unit load total value and a load occupation value of a base station, and generating a unit load idle value based on the unit load total value and the load occupation value;
S5: and obtaining a unit demand residual value based on the unit load demand value and the unit load idle value, marking available base stations, and screening target base stations from the available base stations for switching.
Further, the comprehensive communication data comprises a signal strength value, an effective distance value and a network congestion ratio;
The method for acquiring the effective distance value comprises the following steps:
the base station where the intelligent equipment is currently located is recorded as a communication base station, and the communication base station is randomly selected Data of the same type, marked/>Detecting data;
one by one identification Byte value size of each detection data is changed from big to small according to the byte valueThe detection data are sequentially sent to the intelligent equipment, and the/>The transmission time of each detection data is obtained/>A plurality of transmission time values;
At the smart device receives After each detection data, record/>, in turnThe reception time of each detection data is obtained/>Individual receive time values, will/>Individual receive time values and/>The difference of the sending time values is compared one by one to obtain/>A transmission time;
the expression of the transmission time is:
；
In the method, in the process of the invention, For/>Transmission time,/>For/>Each time of reception value,/>For/>A plurality of transmission time values;
After the maximum value and the minimum value of the transmission time are removed, the rest Averaging after accumulating the transmission time to obtain a time average value;
the expression of the time average is:
；
In the method, in the process of the invention, Is a time average value/>For/>A transmission time;
comparing the time average value with a preset time delay value to obtain effective time;
The expression of the effective time is:
；
In the method, in the process of the invention, For effective time,/>Is a preset time delay value;
Obtaining an effective distance based on the effective time and the transmission speed of the electromagnetic wave;
The expression of the effective distance is:
；
In the method, in the process of the invention, Is effective distance,/>Is the transmission speed of electromagnetic waves.
Further, the method for acquiring the network congestion ratio comprises the following steps:
Synchronous transmission to intelligent devices through communication base station Data to be measured, and will/>The sending time marks of the data to be tested are the starting time;
After the effective time, marking the data to be detected received in the intelligent equipment as undelayed data to obtain The undelayed data is marked as delayed data, and the/>Delay data;
Receiving the intelligent device The time of each delay data is denoted as the end time, and/>Comparing the end time with the start time one by one to obtain/>Delay time;
The expression for the delay time is:
；
In the method, in the process of the invention, For/>Time of delay,/>For/>End time,/>Is the starting time;
Will be The delay time is compared with the effective time one by one to obtain/>A congestion time;
the expression of the congestion time is:
；
In the method, in the process of the invention, For/>A congestion time;
Will be After accumulating the congestion time, and/>Accumulated value sum/>, of individual validity timesComparing the sum of the accumulated values of the delay moments to obtain a network congestion ratio;
the expression of the network congestion ratio is:
；
In the method, in the process of the invention, For the network congestion ratio,/>For/>Time of congestion,/>For/>Effective time,/>For/>The delay times.
Further, the expression of the network handover value is:
；
In the method, in the process of the invention, For network switch value,/>Is the signal intensity value,/>、/>、/>Is a weight factor.
Further, the method for determining whether to enter the network switching mode includes:
Network switch value With a preset network switching threshold/>Comparing;
When (when) Greater than or equal to/>When the network switching mode is judged to be entered;
When (when) Less than/>And when the network switching mode is not entered, judging.
Further, the communication operation data comprises a unit flow peak value, a unit bandwidth occupation value and a data compression ratio;
The method for acquiring the unit flow peak value comprises the following steps:
Taking the moment of the intelligent equipment sending the network data to the communication base station as a unit starting point, taking the moment of the intelligent equipment receiving the network data fed back by the communication base station as a unit ending point, and recording the time length from the unit starting point to the unit ending point as a unit period;
monitoring intelligent device presence through network traffic monitoring tool Data volume transmitted and received in each unit period, obtain/>A single bit stream value;
Will be The unit flow values are arranged in descending order from large to small, and the unit flow value of the first rank is recorded as the unit flow peak value.
Further, the method for obtaining the occupation value of the unit bandwidth comprises the following steps:
random capture by network traffic monitoring tool Data samples within a unit period, and will/>/>, Within data samplesThe sub data are arranged one by one;
Tracking Corresponding running program of sub data in intelligent equipment to obtain/>A subroutine;
querying through a task manager The running bandwidth value of the subroutine under full load condition, and will/>After the running bandwidth values of the subprograms under the full load condition are accumulated, the/>A sub-bandwidth occupation value;
the expression of the sub-bandwidth occupation value is:
；
In the method, in the process of the invention, For/>Sub-bandwidth occupancy value per unit period,/>For/>First/>, of unit cycleThe operation bandwidth of the subprogram under the full load condition;
Will be The occupied value of each sub-bandwidth is accumulated and then averaged to obtain the occupied value of the unit bandwidth;
the expression of the occupancy value of the unit bandwidth is:
；
In the method, in the process of the invention, Is the occupied value of unit bandwidth,/>For/>A sub-bandwidth occupation value.
Further, the expression of the unit load demand value is:
；
In the method, in the process of the invention, Is a unit load demand value,/>Data compression ratio, unit compression ratio is obtained through compression tool monitoring in intelligent equipment,/>Is the peak value of unit flow,/>、/>、/>Is a weight factor.
Further, the method for generating the idle value of the unit load comprises the following steps:
Inquiring through base station load parameter table Load capacity of individual base stations, acquisition/>A unit load total value;
acquisition by task manager />, Current moment of the individual base stationsIndividual running tasks and running loads, will/>Individual running tasks and/>After the respective corresponding products of the operation loads, the/>A task load value;
Will be After the task load values are accumulated, the/>A load occupancy value;
The expression of the load occupancy value is:
；
In the method, in the process of the invention, For/>Load occupancy value,/>For/>A task load value;
Will be The total value of unit load is respectively equal to/>The individual load occupancy values are differenced to obtain/>A unit load idle value;
The expression of the unit load idle value is:
；
In the method, in the process of the invention, For/>Load free value per unit,/>For/>Total unit load.
Further, the expression of the unit demand remaining value is:
；
In the method, in the process of the invention, For/>Unit demand remaining values of the individual base stations;
the marking method of the available base station comprises the following steps:
When (when) Greater than or equal to 0, no.)The individual base stations are marked as available base stations;
When (when) When less than 0, the first/>The individual base stations are not marked as available base stations;
the method for screening the target base station from the available base stations comprises the following steps:
Will be The unit demand residual values of the available base stations are respectively different from the preset lowest load residual value to obtain/>A residual difference of each demand;
The expression of the residual difference of demand is:
；
In the method, in the process of the invention, For/>Residual difference of each requirement,/>For/>Unit demand remaining value of each available base station,/>A preset lowest load remaining value;
Will be The residual difference values of the individual demands are arranged in descending order from big to small;
when the first-ranking demand residual difference value is unique, selecting an available base station corresponding to the first-ranking demand residual difference value as a target base station;
when the first-ranking demand residual difference value is not the same, randomly selecting one of the available base stations corresponding to the first-ranking demand residual difference value as a target base station.
The wireless communication network switching method based on the intelligent equipment of the Internet of things has the technical effects and advantages that:
The invention generates a network switching value based on comprehensive communication data by collecting comprehensive communication data of a wireless communication network, compares the network switching value with a preset network switching threshold value, judges whether to enter a network switching mode based on a comparison result, collects communication operation data of intelligent equipment, generates a unit load demand value based on the communication operation data, collects a unit load total value and a load occupation value of a base station, generates a unit load idle value based on the unit load total value and the load occupation value, obtains a unit demand residual value based on the unit load demand value and the unit load idle value, marks an available base station, and screens out a target base station from the available base stations for switching; compared with the prior art, the wireless communication quality of the current wireless communication network can be accurately estimated based on the current communication data of the intelligent equipment, so that a prompt about whether the wireless communication network is required to be switched is given, when the wireless communication network is required to be switched, the unit load demand of the intelligent equipment and the unit load idle state of the base station are accurately acquired, further, whether the load demand and the load idle in unit time meet the demand or not is analyzed, the available base station meeting the wireless communication network switching demand is marked, the target base station is accurately marked from the available base station to serve as an object of network switching, the phenomenon that the demand load is rapidly increased to cause clamping and delay in a short time is avoided, the rapid, accurate and efficient wireless communication network switching effect is finally realized, and the intelligent equipment can always maintain the efficient and stable wireless communication quality.
Drawings
Fig. 1 is a flow chart of a switching method of a wireless communication network based on an intelligent device of the internet of things according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a switching system of a wireless communication network based on an intelligent device of the internet of things according to embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, the method for switching wireless communication networks based on intelligent devices of the internet of things according to the present embodiment is applied to a network server, and includes:
s1: collecting comprehensive communication data of a wireless communication network, and generating a network switching value based on the comprehensive communication data;
The comprehensive communication data is data which can influence the wireless communication quality of the intelligent equipment in the wireless communication network, the wireless communication quality of the intelligent equipment in the wireless communication network not only depends on the advantages and disadvantages of hardware, but also is interfered by other factors in the wireless communication network, so that the wireless communication quality is uneven, and the related data which influence the wireless communication quality can be acquired in a diversified manner by acquiring the comprehensive communication data, so that data support is provided for the switching of the subsequent wireless communication network;
The comprehensive communication data comprises a signal strength value, an effective distance value and a network congestion ratio;
the signal strength value refers to the signal strength received by the intelligent device in the current wireless communication network, when the signal strength is larger, the signal strength received by the intelligent device in the current wireless communication network is higher, at the moment, the intelligent device can send and receive incoming data more quickly and smoothly, and the network switching value is smaller when the probability that the wireless communication network of the intelligent device needs to be switched is lower; the signal intensity value is obtained through monitoring by signal intensity detection software built in the intelligent equipment;
The effective distance value refers to the distance between the intelligent device and the base station corresponding to the current wireless communication network, and when the effective distance value is larger, the distance between the intelligent device and the base station corresponding to the current wireless communication network is larger, the probability that the wireless communication network of the intelligent device needs to be switched is higher, and the network switching value is larger;
The method for acquiring the effective distance value comprises the following steps:
the base station where the intelligent equipment is currently located is recorded as a communication base station, and the communication base station is randomly selected Data of the same type, marked/>Detecting data; the data of the same type is selected to ensure that the detection data can have the same transmission mode during transmission, ensure the stability and consistency of the transmission process, and avoid transmission deviation caused by different data types during transmission;
one by one identification Byte value size of each detection data is changed from big to small according to the byte valueThe detection data are sequentially sent to the intelligent equipment, and the/>The transmission time of each detection data is obtained/>A plurality of transmission time values; the detection data with larger byte values can be sent preferentially according to the mode that the byte values are from large to small, so that the ordering of the detection data sending process is ensured, and the phenomenon of confusion caused by synchronous sending of a large amount of detection data is avoided;
At the smart device receives After each detection data, record/>, in turnThe reception time of each detection data is obtained/>Individual receive time values, will/>Individual receive time values and/>The difference of the sending time values is compared one by one to obtain/>A transmission time;
the expression of the transmission time is:
；
In the method, in the process of the invention, For/>Transmission time,/>For/>Each time of reception value,/>For/>A plurality of transmission time values;
After the maximum value and the minimum value of the transmission time are removed, the rest Averaging after accumulating the transmission time to obtain a time average value;
the expression of the time average is:
；
In the method, in the process of the invention, Is a time average value/>For/>A transmission time;
Comparing the time average value with a preset time delay value to obtain effective time; the preset time delay value refers to a transmission time error caused by the performance of the base station hardware when the base station transmits electromagnetic wave signals, so that the actual data transmission time can be accurately calculated and acquired; the preset time delay value is obtained through multiple times of debugging by collecting a large number of historical detection data of the same type transmitted by the base stations of the same type and combining the delay time corresponding to the hardware performance quality of the current base station;
The expression of the effective time is:
；
In the method, in the process of the invention, For effective time,/>Is a preset time delay value;
Obtaining an effective distance based on the effective time and the transmission speed of the electromagnetic wave;
The expression of the effective distance is:
；
In the method, in the process of the invention, Is effective distance,/>The transmission speed of the electromagnetic wave is the transmission speed of the electromagnetic wave; the transmission speed of electromagnetic waves in the air is constant;
The network congestion ratio refers to the ratio of the time length of the transmission delay phenomenon of the intelligent device to the total transmission time length in the current wireless communication network, when the network congestion ratio is larger, the more difficult the intelligent device is to transmit data in the current wireless communication network, and when the probability that the wireless communication network of the intelligent device needs to be switched is higher, the network switching value is larger;
The method for acquiring the network congestion ratio comprises the following steps:
Synchronous transmission to intelligent devices through communication base station Data to be measured, and will/>The sending time marks of the data to be tested are the starting time; the mode of synchronously transmitting the data to be measured ensures that the data to be measured can have the same transmission time point, thereby avoiding a large amount of data at different transmission time points caused by transmitting the data at different times, further reducing the data quantity corresponding to the transmission time and reducing the burden of a system;
After the effective time, marking the data to be detected received in the intelligent equipment as undelayed data to obtain The undelayed data is marked as delayed data, and the/>Delay data;
Receiving the intelligent device The time of each delay data is denoted as the end time, and/>Comparing the end time with the start time one by one to obtain/>Delay time;
The expression for the delay time is:
；
In the method, in the process of the invention, For/>Time of delay,/>For/>End time,/>Is the starting time;
Will be The delay time is compared with the effective time one by one to obtain/>A congestion time;
the expression of the congestion time is:
；
In the method, in the process of the invention, For/>A congestion time;
Will be After accumulating the congestion time, and/>Accumulated value sum/>, of individual validity timesComparing the sum of the accumulated values of the delay moments to obtain a network congestion ratio;
the expression of the network congestion ratio is:
；
In the method, in the process of the invention, For the network congestion ratio,/>For/>Time of congestion,/>For/>Effective time,/>For/>Delay time;
The network switching value refers to the numerical representation of whether the intelligent equipment needs to switch the wireless communication network in the current wireless communication network, and whether the intelligent equipment needs to switch the wireless communication network can be clearly and intuitively represented by the numerical representation of the network switching value; when the network switching value is larger, the wireless communication quality of the intelligent device in the wireless communication network is lower, and the probability that the wireless communication network of the intelligent device needs to be switched is higher;
the expression of the network handover value is:
；
In the method, in the process of the invention, For network switch value,/>Is the signal intensity value,/>、/>、/>Is a weight factor;
Wherein, Exemplary,/>Is 0.436,/>Is 0.362,/>0.202;
It should be noted that, the size of the weight factor is a specific numerical value obtained by quantizing each data, so that the subsequent comparison is convenient, and the size of the weight factor depends on the amount of the comprehensive communication data and the corresponding weight factor is preliminarily set for each group of the comprehensive communication data by a person skilled in the art;
S2: comparing the network switching value with a preset network switching threshold value, and judging whether to enter a network switching mode or not based on a comparison result; if the network switching mode is entered, executing S3-S5; if the network switching mode is not entered, repeating the steps S1-S2;
the network switching mode is a working mode in which the intelligent device needs to switch the wireless communication network, when the intelligent device enters the network switching mode, the intelligent device can acquire various data required by network switching in the network switching mode and realize normal operation of network switching operation, and when the intelligent device does not enter the network switching mode, the intelligent device cannot acquire various data required by network switching and continuously acquire comprehensive communication data according to the current state;
the method for judging whether to enter the network switching mode comprises the following steps:
Network switch value With a preset network switching threshold/>Comparing; the preset network switching threshold value refers to a network switching value corresponding to the wireless communication quality of the intelligent equipment when the wireless communication network is required to be switched, so that the network switching value is divided into two ranges which are required to be switched and are not required to be switched, and the wireless communication quality of the actual intelligent equipment is effectively distinguished; acquiring a plurality of network switching values of the intelligent equipment corresponding to the wireless communication network switching needs to be performed through a preset network switching threshold value, and then obtaining an average value of the network switching values;
When (when) Greater than or equal to/>When the current network switching value of the intelligent equipment is larger than or equal to a preset network switching threshold value, and the wireless communication quality of the intelligent equipment is low at the moment, judging to enter a network switching mode;
When (when) Less than/>When the current network switching value of the intelligent equipment is smaller than the preset network switching threshold value, and the wireless communication quality of the intelligent equipment is higher at the moment, judging that the intelligent equipment does not enter a network switching mode;
S3: collecting communication operation and maintenance data of the intelligent equipment, and generating a unit load demand value based on the communication operation and maintenance data;
the communication operation and maintenance data refer to operation comprehensive data of wireless communication of the intelligent equipment in a current operation state, when the intelligent equipment enters a network switching mode, the intelligent equipment needs to be switched from the current wireless communication network to another wireless communication network, and in order to ensure that the intelligent equipment can complete switching in two wireless communication networks, the operation comprehensive data of the intelligent equipment needs to be acquired and serve as a basis of the switching of the wireless communication networks, so that the network load occupation size of the intelligent equipment in the current operation state is acquired;
the communication operation data comprises a unit flow peak value, a unit bandwidth occupation value and a data compression ratio;
the unit flow peak value is the maximum value of data flow transmitted by the intelligent equipment in unit time, and when the unit flow peak value is larger, the load required by the intelligent equipment in unit time is larger, and the unit load required value is larger;
The method for acquiring the unit flow peak value comprises the following steps:
Taking the moment of the intelligent equipment sending the network data to the communication base station as a unit starting point, taking the moment of the intelligent equipment receiving the network data fed back by the communication base station as a unit ending point, and recording the time length from the unit starting point to the unit ending point as a unit period; the collection duration of the network data flow between the intelligent equipment and the communication can be limited through the set unit period, so that the consistency of the collection duration of the network data flow is ensured;
monitoring intelligent device presence through network traffic monitoring tool Data volume transmitted and received in each unit period, obtain/>A single bit stream value;
Will be The unit flow values are arranged in descending order from big to small, and the unit flow value ranked first is recorded as a unit flow peak value;
The unit bandwidth occupation value refers to the bandwidth which is required to be occupied by an operation program in the intelligent equipment in unit time, and when the unit bandwidth occupation value is larger, the unit load requirement value is larger when the unit bandwidth occupation value is larger, the unit bandwidth occupation value is larger;
The method for acquiring the occupied value of the unit bandwidth comprises the following steps:
random capture by network traffic monitoring tool Data samples within a unit period, and will/>/>, Within data samplesThe sub data are arranged one by one; the data samples are data sets which are acquired by the network flow monitoring tool and contain a plurality of sub-data with different types and sizes, and the types and the numbers of the sub-data in each data sample are inconsistent, so that the effect of randomly capturing the plurality of sub-data is realized, and the captured sub-data is ensured to have random representativeness;
Tracking Corresponding running program of sub data in intelligent equipment to obtain/>A subroutine; the tracking operation program can be realized by inquiring the original IP address of the sub-data, so that the original source of the sub-data can be obtained, and the load parameters of the sub-data can be accurately obtained conveniently;
querying through a task manager The running bandwidth value of the subroutine under full load condition, and will/>After the running bandwidth values of the subprograms under the full load condition are accumulated, the/>A sub-bandwidth occupation value;
the expression of the sub-bandwidth occupation value is:
；
In the method, in the process of the invention, For/>Sub-bandwidth occupancy value per unit period,/>For/>First/>, of unit cycleThe operation bandwidth of the subprogram under the full load condition;
Will be The occupied value of each sub-bandwidth is accumulated and then averaged to obtain the occupied value of the unit bandwidth;
the expression of the occupancy value of the unit bandwidth is:
；
In the method, in the process of the invention, Is the occupied value of unit bandwidth,/>For/>A sub-bandwidth occupation value;
The data compression ratio refers to the ratio of the number of data sent and received in the intelligent device in a compressed state to the total number, and when the data compression ratio is larger, the larger the number of data in the compressed state is, the smaller the load requirement of the intelligent device corresponding to the wireless communication network is, and the smaller the unit load requirement value is; the unit compression ratio is obtained through monitoring by a compression tool in the intelligent equipment;
The unit load demand value is used for representing the size of a load space which is required to be occupied by data transmitted and received in the intelligent equipment, so that a data basis is provided for the intelligent equipment to select and switch wireless communication networks;
The expression of the unit load demand value is:
；
In the method, in the process of the invention, Is a unit load demand value,/>For data compression ratio,/>Is the peak value of the unit flow rate,、/>、/>Is a weight factor; /(I)、/>、/>And the above/>、/>、/>Is consistent with the setting logic of the (a);
S4: collecting a unit load total value and a load occupation value of a base station, and generating a unit load idle value based on the unit load total value and the load occupation value;
When the intelligent equipment enters a network switching mode and acquires a self unit load demand value, one of the other base stations is required to be selected as a target for switching, in order to ensure the accuracy of network switching, the actual conditions of the other base stations are required to be known, and a unit load idle value corresponding to the unit load demand value is calculated, so that the intelligent equipment is used as a comparison basis for the selection and switching of the subsequent base stations, and in order to calculate and acquire the unit load idle value, the unit load total value and the load occupied value are required to be acquired;
The method for generating the unit load idle value comprises the following steps:
Inquiring through base station load parameter table Load capacity of individual base stations, acquisition/>A unit load total value;
acquisition by task manager />, Current moment of the individual base stationsIndividual running tasks and running loads, will/>Individual running tasks and/>After the respective corresponding products of the operation loads, the/>A task load value;
Will be After the task load values are accumulated, the/>A load occupancy value;
The expression of the load occupancy value is:
；
In the method, in the process of the invention, For/>Load occupancy value,/>For/>A task load value;
Will be The total value of unit load is respectively equal to/>The individual load occupancy values are differenced to obtain/>A unit load idle value;
The expression of the unit load idle value is:
；
In the method, in the process of the invention, For/>Load free value per unit,/>For/>A unit load total value;
s5: based on the unit load demand value and the unit load idle value, obtaining a unit demand residual value, marking available base stations, and screening target base stations from the available base stations for switching;
the unit demand surplus value refers to the difference between the unit load demand value and the unit load idle value after the calculation and comparison of the unit load demand value and the unit load idle value, and the states of different base stations can be monitored through the unit demand surplus value, so that the optimal base station is selected to perform the switching operation of the wireless communication network;
The expression of the unit demand residue value is:
；
In the method, in the process of the invention, For/>Unit demand remaining values of the individual base stations;
The available base station is a base station of which the unit load idle value of the base station can meet the unit load requirement value of the intelligent equipment, and when the available base station is obtained, the available base station can meet the operation requirement of the intelligent equipment;
the marking method of the available base station comprises the following steps:
When (when) 0 Or more, explaining the/>The unit demand residual value of each base station is more than or equal to 0, at the moment, the/>The network switching requirement of the intelligent equipment is met by the individual base stations, and the/>The individual base stations are marked as available base stations;
When (when) Below 0, we say the/>The unit demand remaining value of each base station is smaller than 0, at this time the/>Network switching requirement of intelligent equipment is not met by each base station, namely/>The individual base stations are not marked as available base stations;
The target base station is an available base station corresponding to the maximum value of the unit demand residual value in the available base stations, so that the target base station can realize normal safe operation of the intelligent equipment on the basis of the minimum load occupation cost, and is used as a corresponding base station when the intelligent equipment performs wireless communication network switching;
the method for screening the target base station from the available base stations comprises the following steps:
Will be The unit demand residual values of the available base stations are respectively different from the preset lowest load residual value to obtain/>A residual difference of each demand; the preset minimum load remaining value refers to a load minimum idle value of the base station when the base station is in a normal running state after providing the load required by the wireless communication network for the intelligent equipment, and when the base station is in a high-load or even full-load running state, the running state of the base station is reduced, so that the running rate of the base station cannot reach the rated rate, therefore, a certain load idle value is required to be reserved for the base station, and the phenomenon of the running rate reduction of the base station is prevented; the preset minimum load remaining value is obtained by acquiring a plurality of historical base stations and then obtaining an average value of the base station load idle values corresponding to the base station load idle values when the base stations run at a normal rate;
The expression of the residual difference of demand is:
；
In the method, in the process of the invention, For/>Residual difference of each requirement,/>For/>Unit demand remaining value of each available base station,/>A preset lowest load remaining value;
Will be The residual difference values of the individual demands are arranged in descending order from big to small;
when the first-ranking demand residual difference value is unique, selecting an available base station corresponding to the first-ranking demand residual difference value as a target base station;
When the first-ranking demand residual difference value is not the same, randomly selecting one of the available base stations corresponding to the first-ranking demand residual difference value as a target base station;
In this embodiment, by collecting comprehensive communication data of a wireless communication network, generating a network switching value based on the comprehensive communication data, comparing the network switching value with a preset network switching threshold, determining whether to enter a network switching mode based on a comparison result, collecting communication operation data of an intelligent device, generating a unit load demand value based on the communication operation data, collecting a unit load total value and a load occupation value of a base station, generating a unit load idle value based on the unit load total value and the load occupation value, obtaining a unit demand residual value based on the unit load demand value and the unit load idle value, marking an available base station, and screening a target base station from the available base stations for switching; compared with the prior art, the wireless communication quality of the current wireless communication network can be accurately estimated based on the current communication data of the intelligent equipment, so that a prompt about whether the wireless communication network is required to be switched is given, when the wireless communication network is required to be switched, the unit load demand of the intelligent equipment and the unit load idle state of the base station are accurately acquired, further, whether the load demand and the load idle in unit time meet the demand or not is analyzed, the available base station meeting the wireless communication network switching demand is marked, the target base station is accurately marked from the available base station to serve as an object of network switching, the phenomenon that the demand load is rapidly increased to cause clamping and delay in a short time is avoided, the rapid, accurate and efficient wireless communication network switching effect is finally realized, and the intelligent equipment can always maintain the efficient and stable wireless communication quality.
Example 2: referring to fig. 2, a part of the detailed description of the embodiment is not described in embodiment 1, and a switching system of a wireless communication network based on an intelligent device of the internet of things is provided, which is applied to a network server, and is used for a switching method of the wireless communication network based on the intelligent device of the internet of things, and the switching system comprises a network switching value module, a comparison analysis module, a first acquisition module, a second acquisition module and a switching identification module, wherein the modules are connected in a wired or wireless network manner;
The network switching value module is used for collecting comprehensive communication data of the wireless communication network and generating a network switching value based on the comprehensive communication data;
The comparison analysis module is used for comparing the network switching value with a preset network switching threshold value and judging whether to enter a network switching mode or not based on a comparison result;
the first acquisition module is used for acquiring communication operation and maintenance data of the intelligent equipment and generating a unit load demand value based on the communication operation and maintenance data;
The second acquisition module is used for acquiring the unit load total value and the load occupation value of the base station and generating a unit load idle value based on the unit load total value and the load occupation value;
and the switching identification module is used for obtaining a unit demand residual value based on the unit load demand value and the unit load idle value, marking available base stations, and screening target base stations from the available base stations to switch.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The switching method of the wireless communication network based on the intelligent equipment of the Internet of things is applied to a network server and is characterized by comprising the following steps:
S1: collecting comprehensive communication data of a wireless communication network, and generating a network switching value based on the comprehensive communication data;
S2: comparing the network switching value with a preset network switching threshold value, and judging whether to enter a network switching mode or not based on a comparison result; if the network switching mode is entered, executing S3-S5; if the network switching mode is not entered, repeating the steps S1-S2;
S3: collecting communication operation and maintenance data of the intelligent equipment, and generating a unit load demand value based on the communication operation and maintenance data;
S4: collecting a unit load total value and a load occupation value of a base station, and generating a unit load idle value based on the unit load total value and the load occupation value;
S5: and obtaining a unit demand residual value based on the unit load demand value and the unit load idle value, marking available base stations, and screening target base stations from the available base stations for switching.
2. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 1, wherein the integrated communication data includes a signal strength value, an effective distance value and a network congestion ratio;
The method for acquiring the effective distance value comprises the following steps:
the base station where the intelligent equipment is currently located is recorded as a communication base station, and the communication base station is randomly selected Data of the same type, marked/>Detecting data;
one by one identification Byte value size of each detection data is changed from big to small according to the byte valueThe detection data are sequentially sent to the intelligent equipment, and the/>The transmission time of each detection data is obtained/>A plurality of transmission time values;
At the smart device receives After each detection data, record/>, in turnThe reception time of each detection data is obtained/>Individual receive time values, will/>Individual receive time values and/>The difference of the sending time values is compared one by one to obtain/>A transmission time;
the expression of the transmission time is:
；
In the method, in the process of the invention, For/>Transmission time,/>For/>Each time of reception value,/>For/>A plurality of transmission time values;
After the maximum value and the minimum value of the transmission time are removed, the rest Averaging after accumulating the transmission time to obtain a time average value;
the expression of the time average is:
；
In the method, in the process of the invention, Is a time average value/>For/>A transmission time;
comparing the time average value with a preset time delay value to obtain effective time;
The expression of the effective time is:
；
In the method, in the process of the invention, For effective time,/>Is a preset time delay value;
Obtaining an effective distance based on the effective time and the transmission speed of the electromagnetic wave;
The expression of the effective distance is:
；
In the method, in the process of the invention, Is effective distance,/>Is the transmission speed of electromagnetic waves.
3. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 2, wherein the method for acquiring the network congestion ratio comprises:
Synchronous transmission to intelligent devices through communication base station Data to be measured, and will/>The sending time marks of the data to be tested are the starting time;
After the effective time, marking the data to be detected received in the intelligent equipment as undelayed data to obtain The undelayed data is marked as delayed data, and the/>Delay data;
Receiving the intelligent device The time of each delay data is denoted as the end time, and/>Comparing the end time with the start time one by one to obtain/>Delay time;
The expression for the delay time is:
；
In the method, in the process of the invention, For/>Time of delay,/>For/>End time,/>Is the starting time;
Will be The delay time is compared with the effective time one by one to obtain/>A congestion time;
the expression of the congestion time is:
；
In the method, in the process of the invention, For/>A congestion time;
Will be After accumulating the congestion time, and/>Accumulated value sum/>, of individual validity timesComparing the sum of the accumulated values of the delay moments to obtain a network congestion ratio;
the expression of the network congestion ratio is:
；
In the method, in the process of the invention, For the network congestion ratio,/>For/>Time of congestion,/>For/>The time period of the time of the active-phase,For/>The delay times.
4. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 3, wherein the expression of the network switching value is:
；
In the method, in the process of the invention, For network switch value,/>Is the signal intensity value,/>、/>、/>Is a weight factor.
5. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 4, wherein the method for determining whether to enter the network switching mode comprises:
Network switch value With a preset network switching threshold/>Comparing;
When (when) Greater than or equal to/>When the network switching mode is judged to be entered;
When (when) Less than/>And when the network switching mode is not entered, judging.
6. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 5, wherein the communication operation data comprises a unit flow peak value, a unit bandwidth occupation value and a data compression ratio;
The method for acquiring the unit flow peak value comprises the following steps:
Taking the moment of the intelligent equipment sending the network data to the communication base station as a unit starting point, taking the moment of the intelligent equipment receiving the network data fed back by the communication base station as a unit ending point, and recording the time length from the unit starting point to the unit ending point as a unit period;
monitoring intelligent device presence through network traffic monitoring tool Data volume transmitted and received in each unit period, obtain/>A single bit stream value;
Will be The unit flow values are arranged in descending order from large to small, and the unit flow value of the first rank is recorded as the unit flow peak value.
7. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 6, wherein the method for acquiring the occupancy value of the unit bandwidth comprises:
random capture by network traffic monitoring tool Data samples within a unit period, and will/>/>, Within data samplesThe sub data are arranged one by one;
Tracking Corresponding running program of sub data in intelligent equipment to obtain/>A subroutine;
querying through a task manager The running bandwidth value of the subroutine under full load condition, and will/>After the running bandwidth values of the subprograms under the full load condition are accumulated, the/>A sub-bandwidth occupation value;
the expression of the sub-bandwidth occupation value is:
；
In the method, in the process of the invention, For/>Sub-bandwidth occupancy value per unit period,/>For/>First/>, of unit cycleThe operation bandwidth of the subprogram under the full load condition;
Will be The occupied value of each sub-bandwidth is accumulated and then averaged to obtain the occupied value of the unit bandwidth;
the expression of the occupancy value of the unit bandwidth is:
；
In the method, in the process of the invention, Is the occupied value of unit bandwidth,/>For/>A sub-bandwidth occupation value.
8. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 7, wherein the expression of the unit load demand value is:
；
In the method, in the process of the invention, Is a unit load demand value,/>Data compression ratio, unit compression ratio is obtained through compression tool monitoring in intelligent equipment,/>Is the peak value of unit flow,/>、/>、/>Is a weight factor.
9. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 8, wherein the generating method of the unit load idle value comprises:
Inquiring through base station load parameter table Load capacity of individual base stations, acquisition/>A unit load total value;
acquisition by task manager />, Current moment of the individual base stationsIndividual running tasks and running loads, will/>Individual running tasks and/>After the respective corresponding products of the operation loads, the/>A task load value;
Will be After the task load values are accumulated, the/>A load occupancy value;
The expression of the load occupancy value is:
；
In the method, in the process of the invention, For/>Load occupancy value,/>For/>A task load value;
Will be The total value of unit load is respectively equal to/>The individual load occupancy values are differenced to obtain/>A unit load idle value;
The expression of the unit load idle value is:
；
In the method, in the process of the invention, For/>Load free value per unit,/>For/>Total unit load.
10. The method for switching a wireless communication network based on an intelligent device of the internet of things according to claim 9, wherein the expression of the unit demand remaining value is:
；
In the method, in the process of the invention, For/>Unit demand remaining values of the individual base stations;
the marking method of the available base station comprises the following steps:
When (when) Greater than or equal to 0, no.)The individual base stations are marked as available base stations;
When (when) When less than 0, the first/>The individual base stations are not marked as available base stations;
the method for screening the target base station from the available base stations comprises the following steps:
Will be The unit demand residual values of the available base stations are respectively different from the preset lowest load residual value to obtain/>A residual difference of each demand;
The expression of the residual difference of demand is:
；
In the method, in the process of the invention, For/>Residual difference of each requirement,/>For/>The unit demand residual value of the individual available base stations,A preset lowest load remaining value;
Will be The residual difference values of the individual demands are arranged in descending order from big to small;
when the first-ranking demand residual difference value is unique, selecting an available base station corresponding to the first-ranking demand residual difference value as a target base station;
when the first-ranking demand residual difference value is not the same, randomly selecting one of the available base stations corresponding to the first-ranking demand residual difference value as a target base station.
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