CN110009147A - A kind of meteorological data collection strategy adaptive regulation method and device - Google Patents
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Abstract
The embodiment of the present invention provides a kind of meteorological data collection strategy adaptive regulation method and device, for any current acquisition day, by the way that initial acquisition number is arranged, and multiple acquisition strategies are generated according to initial acquisition number at random, self-adapted genetic algorithm is recycled to be iterated adjustment to all acquisition strategies, and the acquisition strategies for meeting fitness requirement are filtered out in all acquisition strategies after the adjustment as target acquisition strategies, so that currently acquisition day uses target acquisition strategies to carry out meteorological data collection, daily meteorological data can effectively be restored, it is advantageously ensured that the accuracy of meteorological data monitoring result；Daily meteorological data collection number can also be reduced to a great extent simultaneously, to advantageously reduce the power consumption of weather station system, can effectively ensure that weather station system is run steadily in the long term.
Description
Technical field
The present embodiments relate to weather monitoring technical fields, certainly more particularly, to a kind of meteorological data collection strategy
Adapt to adjusting method and device.
Background technique
Weather station be it is a kind of can carry out ground meteorological data observation, storage, transmission automatically, and will can observe number as needed
According to the surface weather observation equipment for being converted into meteorologic telegraph or meteorological report form.Weather station be generally operational in spacious, remote, power grid without
The region that method is directly powered, most of weather station use solar energy mode for system electric power storage and power supply.However, continuous rainy days
Gas, which will lead to solar panel, to be the electric power storage of battery abundance, to influence the normal operation of weather station system.
Currently, for the normal operation for ensuring weather station system, the main battery by selection large capacity and the system of reduction
Power consumption two ways realized, but as the promotion of accumulator capacity, cost and volume can also increase accordingly, and weather bureau
Capacity and specification to battery are also distinctly claimed.Therefore, for the battery of certain capacity, it is whole to reduce weather station system
Power consumption is of crucial importance for the normal operation for ensuring weather station system.
However, weather station system generally uses the acquisition of high frequency acquisition strategies progress meteorological data at present.For example, daily every
It is spaced the acquisition for carrying out a meteorological data in ten minutes, then daily corresponding times of collection is (24*60)/10=144 times.It is this
Although high frequency acquisition strategies can effectively ensure the accuracy of daily weather monitoring result, high degree increases weather station
The power consumption of system causes to be difficult to ensure that weather station system is run steadily in the long term.
In view of this, not influencing gas it is urgent to provide a kind of meteorological data collection strategy adaptive regulation method and device
On the basis of image data monitoring result accuracy, daily meteorological data collection number is reduced to a great extent, to play drop
The purpose of low weather station system power consumption.
Summary of the invention
The embodiment of the present invention in order to overcome in the prior art weather station system using high frequency acquisition strategies carry out meteorological data
Acquisition, high degree increase the power consumption of weather station system, cause to be difficult to ensure the problem of weather station system is run steadily in the long term,
A kind of meteorological data collection strategy adaptive regulation method and device are provided.
In a first aspect, the embodiment of the present invention provides a kind of meteorological data collection strategy adaptive regulation method, comprising:
For any current acquisition day, judge whether the current acquisition day is correction day, if the current acquisition day is
Non- correction day, then multiple acquisition strategies are generated according to initial acquisition number at random, using each acquisition strategies of generation as first
Initial acquisition strategy；
Adjustment is iterated to all first initial acquisition strategies using self-adapted genetic algorithm, and in each iteration adjustment
Afterwards, all first initial acquisition strategies adjusted are calculated according to the meteorological data of the acquisition in first three day of the current acquisition day
Fitness, and filter out maximum adaptation degree；
If current iteration number is in default the number of iterations, and the maximum adaptation degree is not less than fitness threshold value, then obtains
The corresponding acquisition strategies of the maximum adaptation degree are taken, as target acquisition strategies, the target acquisition strategies are determined as described
The meteorological data collection strategy of current acquisition day；
It wherein, include multiple acquisition times in each first initial acquisition strategy, and in each first initial acquisition strategy
The total quantity for the acquisition time for including is identical as the initial acquisition number.
Second aspect, the embodiment of the present invention provide a kind of meteorological data collection strategy self-adaptive regulating, comprising:
Acquisition strategies generation module, for judging whether the current acquisition day is correction for any current acquisition day
Day, if the current acquisition day is non-correction day, multiple acquisition strategies are generated according to initial acquisition number at random, by generation
Each acquisition strategies are as the first initial acquisition strategy；
Acquisition strategies adjust module, for being iterated using self-adapted genetic algorithm to all first initial acquisition strategies
Adjustment, and after each iteration adjustment, it is calculated according to the meteorological data of the acquisition in first three day of the current acquisition day adjusted
The fitness of all first initial acquisition strategies, and filter out maximum adaptation degree；
Acquisition strategies determining module, if for current iteration number in default the number of iterations, and the maximum adaptation degree
Not less than fitness threshold value, then the corresponding acquisition strategies of the maximum adaptation degree are obtained, as target acquisition strategies, by the mesh
Mark acquisition strategies are determined as the meteorological data collection strategy of the current acquisition day；
It wherein, include multiple acquisition times in each first initial acquisition strategy, and in each first initial acquisition strategy
The total quantity for the acquisition time for including is identical as the initial acquisition number.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, is realized when the processor executes described program as first aspect provides
Method the step of.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program is realized as provided by first aspect when the computer program is executed by processor the step of method.
Meteorological data collection strategy adaptive regulation method and device provided in an embodiment of the present invention, for arbitrarily currently adopting
Market day generates multiple acquisition strategies by the way that initial acquisition number is arranged, and according to initial acquisition number at random, recycles adaptive
Genetic algorithm is iterated adjustment to all acquisition strategies, and filters out in all acquisition strategies after the adjustment and meet fitness
It is required that acquisition strategies as target acquisition strategies so that currently acquisition day using target acquisition strategies carry out meteorological data adopt
Collection carries out meteorological data collection using target acquisition strategies since target acquisition strategies can satisfy the requirement of fitness
Daily meteorological data can be effectively restored, it is advantageously ensured that the accuracy of meteorological data monitoring result；Target is used simultaneously
The times of collection that acquisition strategies carry out meteorological data collection, which is far smaller than, uses high frequency acquisition strategies to carry out meteorological data collection
Daily meteorological data collection number has been reduced to a great extent in times of collection, to advantageously reduce the function of weather station system
Consumption, can effectively ensure that weather station system is run steadily in the long term.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of meteorological data collection strategy self-adaptive regulating provided in an embodiment of the present invention；
Fig. 3 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
It should be noted that needing to carry out the acquisition of meteorological data daily, to meteorological number for weather station system
According to being monitored.Wherein, meteorological data includes temperature, humidity etc..Currently, in order to ensure the accuracy of weather monitoring result, gas
The acquisition of meteorological data is carried out using high frequency acquisition strategies as station.For example, being carried out daily at interval of ten minutes primary meteorological
The acquisition of data, then daily corresponding times of collection is (24*60)/10=144 times.Although this high frequency acquisition strategies can have
Effect ensures the accuracy of daily weather monitoring result, but high degree increases the power consumption of weather station system, causes to be difficult to really
Weather station system is protected to run steadily in the long term.In view of this, to provide a kind of meteorological data collection strategy adaptive for the embodiment of the present invention
Adjusting method and device are answered, on the basis of not influencing meteorological data monitoring result accuracy, passes through the meteorology of acquisition in first three day
Data adaptive adjusts the meteorological data collection strategy on the same day, weather station system power consumption is effectively reduced and ensures weather station to reach
The purpose that system is run steadily in the long term.Specific implementation process refers to following embodiment.
Fig. 1 is the flow diagram of meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention, such as
Shown in Fig. 1, the embodiment of the present invention provides a kind of meteorological data collection strategy adaptive regulation method, comprising:
S1 judges whether current acquisition day is correction day, if the current acquisition day is non-for any current acquisition day
It rectifies a deviation day, then multiple acquisition strategies is generated according to initial acquisition number at random, using each acquisition strategies of generation as at the beginning of first
Beginning acquisition strategies；
Specifically, weather station system need to be acquired daily meteorological data, in the embodiment of the present invention, by meteorological data
The same day of acquisition is as current acquisition day.For any one current acquisition day, first determine whether currently to acquire whether day is correction
Day, wherein correction day is pre-set, for example, can be set at interval of certain number of days one correction day, it can also will be each
The fixation of the moon is set as correction day some day, can be configured, be not specifically limited according to actual needs herein.If judging
Current acquisition day is not correction day, i.e., currently acquisition day is non-correction day, then generates multiple adopt at random according to initial acquisition number
Collection strategy, using each acquisition strategies of generation as the first initial acquisition strategy.
It should be noted that in the embodiment of the present invention, initial acquisition number be it is pre-set, due in the prior art
The daily times of collection of high frequency acquisition strategies may be up to 144 times, in order to reduce the power consumption of weather station system, in the embodiment of the present invention
Initial acquisition number be generally much smaller than 144 times, for example, initial acquisition number can be set to 20 times, may be set to be 30
It is secondary, it can be configured, be not specifically limited herein according to actual needs.
In addition, it should be noted that, when including multiple acquisitions in the embodiment of the present invention, in each first initial acquisition strategy
Between, and the total quantity for the acquisition time for including in each first initial acquisition strategy is identical as initial acquisition number.Wherein, it acquires
Time refers to some time point between 00:00-24:00.For example, if initial acquisition number is 20 times, according to just
Beginning times of collection each of is generated in the first initial acquisition strategy at random comprising 20 acquisition times.At this point, according to some
One initial acquisition strategy carries out meteorological data collection, then showing need to be according to 20 acquisition time in the first initial acquisition strategy
Carry out meteorological data collection, that is, show that 20 meteorological data collections need to be carried out.
S2 is iterated adjustment to all first initial acquisition strategies using self-adapted genetic algorithm, and in each iteration
After adjustment, all first initial acquisition strategies adjusted are calculated according to the meteorological data of the acquisition in first three day of current acquisition day
Fitness, and filter out maximum adaptation degree；
It specifically, based on the above technical solution, can be initial using each first for currently acquiring day
Acquisition strategies carry out meteorological data collection.It is understood that according to some the first collected gas of initial acquisition strategy institute
The matched curve of image data to using high frequency acquisition strategies the matched curve of collected meteorological data it is more similar, then show to adopt
The error for carrying out meteorological data collection with the first initial acquisition strategy is smaller, and the first initial acquisition strategy is also more excellent.By
It is to be generated at random according to initial acquisition number, therefore each first initial acquisition strategy is simultaneously in each first initial acquisition strategy
Non- is optimal.
In view of this, being carried out using self-adapted genetic algorithm to all first initial acquisition strategies in the embodiment of the present invention
Iteration adjustment, to be optimized to all first initial acquisition strategies.After each iteration adjustment, before current acquisition day
The meteorological data of acquisition on the three calculates the fitness of all first initial acquisition strategies adjusted.Wherein, currently acquisition day it
The meteorological data of acquisition in first three day includes the meteorological data of the proxima luce (prox. luc) acquisition of current acquisition day, the meteorological data of acquisition in first two days
With the meteorological data of acquisition in first three day.For example, if currently acquiring day is on March 13rd, 2019, before current acquisition day
The meteorological data of acquisition on the three includes the meteorological data of the meteorological data of acquisition on March 10th, 2019, acquisition on March 11st, 2019
With the meteorological data of acquisition on March 12nd, 2019.Wherein, the fitness of each first initial acquisition strategy is for characterizing each the
The excellent degree of one initial acquisition strategy, it is first initial using this if the fitness of some the first initial acquisition strategy is bigger
Acquisition strategies collected meteorological data matched curve and using high frequency acquisition strategies institute collected meteorological data intend
It is more similar to close curve, that is, shows that the first initial acquisition strategy is more excellent.Finally, from the adaptation of all first initial acquisition strategies
Maximum adaptation degree is filtered out in degree.
S3, if current iteration number is being preset in the number of iterations, and maximum adaptation degree is not less than fitness threshold value, then obtains
Target acquisition strategies are determined as currently acquiring the gas of day by the corresponding acquisition strategies of maximum adaptation degree as target acquisition strategies
Image data acquisition strategies.
Specifically, after each iteration adjustment, the number of current iteration is judged, if current iteration number is in default iteration time
In number, and the above-mentioned maximum adaptation degree filtered out is not less than fitness threshold value, then obtains the corresponding acquisition strategies of maximum adaptation degree,
As target acquisition strategies.Finally, target acquisition strategies are determined as currently acquiring the meteorological data collection strategy of day, that is,
Current acquisition day, meteorological data collection was carried out according to the multiple acquisition times for including in target acquisition strategies.Wherein, iteration is preset
Number and fitness threshold value be it is pre-set, can be configured, be not specifically limited herein according to actual needs.
It should be noted that, by above method step, for currently acquiring day, being not necessarily in the embodiment of the present invention
Meteorological data collection is carried out using high frequency acquisition strategies in the prior art, and only needs to carry out meteorological number using target acquisition strategies
According to acquisition, i.e., meteorological data collection is carried out according to the multiple acquisition times for including in target acquisition strategies.Since target acquires plan
Fitness slightly is maximum adaptation degree and is not less than fitness threshold value, therefore uses the collected meteorological number of target acquisition strategies institute
According to matched curve to using high frequency acquisition strategies collected meteorological data matched curve it is the most similar, that is to say, that
It carries out meteorological data collection using target acquisition strategies still to be able to effectively restore daily meteorological data, so as to effective
Ensure the accuracy of meteorological data monitoring result.
Further, since the total quantity for the acquisition time for including in target acquisition strategies is identical as initial acquisition number, therefore
The times of collection for carrying out meteorological data collection using target acquisition strategies is also identical as initial acquisition number；Simultaneously because initially adopting
Collection number is far smaller than the times of collection for using high frequency acquisition strategies to carry out meteorological data collection, therefore uses target acquisition strategies
The times of collection for carrying out meteorological data collection is far smaller than the times of collection for using high frequency acquisition strategies to carry out meteorological data collection,
Daily meteorological data collection number is reduced to a great extent, to advantageously reduce the power consumption of weather station system, Neng Gouyou
Effect ensures that weather station system is run steadily in the long term.
Meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention currently acquires day for any,
Multiple acquisition strategies are generated at random by the way that initial acquisition number is arranged, and according to initial acquisition number, recycle Adaptive Genetic
Algorithm is iterated adjustment to all acquisition strategies, and filters out in all acquisition strategies after the adjustment and meet fitness requirement
Acquisition strategies as target acquisition strategies so that currently acquisition day using target acquisition strategies carry out meteorological data collection,
Since target acquisition strategies can satisfy the requirement of fitness, carrying out meteorological data collection using target acquisition strategies can
Daily meteorological data is effectively restored, it is advantageously ensured that the accuracy of meteorological data monitoring result；It is acquired simultaneously using target
The times of collection that strategy carries out meteorological data collection is far smaller than the acquisition for using high frequency acquisition strategies to carry out meteorological data collection
Daily meteorological data collection number has been reduced to a great extent in number, to advantageously reduce the power consumption of weather station system, energy
It is enough effectively to ensure that weather station system is run steadily in the long term.
Based on any of the above-described embodiment, a kind of meteorological data collection strategy adaptive regulation method is provided, if current iteration
Number reaches default the number of iterations, and maximum adaptation degree is less than fitness threshold value, then initial acquisition number is adjusted, after adjustment
Initial acquisition number generate multiple acquisition strategies at random, using each acquisition strategies of generation as the second initial acquisition strategy；
Adjustment is iterated to all second initial acquisition strategies using self-adapted genetic algorithm, and after each iteration adjustment, according to
The meteorological data of the acquisition in first three day of current acquisition day calculates the fitness of all second initial acquisition strategies adjusted, and sieves
Select maximum adaptation degree；If current iteration number is in default the number of iterations, and maximum adaptation degree is not less than fitness threshold value, then
The corresponding acquisition strategies of maximum adaptation degree are obtained to be determined as target acquisition strategies currently to acquire day as target acquisition strategies
Meteorological data collection strategy.
Specifically, in the process that using self-adapted genetic algorithm all first initial acquisition strategies are iterated with adjustment
In, if current iteration number reaches default the number of iterations, and the maximum adaptation degree filtered out then shows less than fitness threshold value
All first initial acquisition strategies and all first initial acquisition strategies adjusted generated according to initial acquisition number are difficult
It to meet the requirement of fitness, then needs to be adjusted initial acquisition number at this time, it is appropriate initial acquisition number can be carried out
Increase to degree, generate multiple acquisition strategies at random further according to initial acquisition number adjusted, by each acquisition plan of generation
It is slightly the second initial acquisition strategy.It wherein, include multiple acquisition times in each second initial acquisition strategy, and each second
The total quantity for the acquisition time for including in initial acquisition strategy is identical as initial acquisition number adjusted.
Based on the above technical solution, it is changed using self-adapted genetic algorithm to all second initial acquisition strategies
Generation adjustment, and after each iteration adjustment, institute adjusted is calculated according to the meteorological data of the acquisition in first three day of current acquisition day
There is the fitness of the second initial acquisition strategy, and filters out maximum adaptation degree；If current iteration number is being preset in the number of iterations,
And maximum adaptation degree is not less than fitness threshold value, then obtains the corresponding acquisition strategies of maximum adaptation degree, as target acquisition strategies,
Target acquisition strategies are determined as currently to acquire the meteorological data collection strategy of day.To the second initial acquisition in the embodiment of the present invention
The specific steps that the first initial acquisition strategy is handled in the specific steps and above method embodiment that strategy is handled
It is identical, it specifically may refer to above method embodiment, details are not described herein again.
It should be noted that in the embodiment of the present invention, after the initial acquisition number to current acquisition day is adjusted,
It can be using initial acquisition number adjusted as the initial acquisition number of next acquisition day, so that next acquisition day energy
It is enough that target acquisition strategies are determined in less the number of iterations, be conducive to the computing resource for saving whole system.
Meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention is utilizing self-adapted genetic algorithm
During being iterated adjustment to all first initial acquisition strategies, if all equal nothings of first initial acquisition strategy adjusted
Method meets the requirement of fitness, then adjusts initial acquisition number, generates multiple adopt at random according to initial acquisition number adjusted
Collection strategy, using each acquisition strategies of generation as the second initial acquisition strategy；Recycle self-adapted genetic algorithm to all the
Two initial acquisition strategies are iterated adjustment, enable to filter out from all second initial acquisition strategies adjusted full
The acquisition strategies that sufficient fitness requires finally may make as target acquisition strategies and carry out meteorological number using target acquisition strategies
According to acquisition, while ensuring meteorological data monitoring result accuracy, additionally it is possible to daily meteorological data be reduced to a great extent
Times of collection advantageously reduces the power consumption of weather station system, and then it is advantageously ensured that weather station system is run steadily in the long term.
Based on any of the above-described embodiment, a kind of meteorological data collection strategy adaptive regulation method is provided, using adaptive
Genetic algorithm is iterated adjustment to all first initial acquisition strategies, specifically: all first initial acquisition strategies are distinguished
It is encoded, obtains all corresponding coded sequences of first initial acquisition strategy；It is each to all first initial acquisition strategies
Self-corresponding coded sequence carries out selection operation, crossover operation and mutation operation respectively, generates multiple new coded sequences；According to
Multiple new coded sequences obtain multiple acquisition strategies, as the first initial acquisition strategy adjusted.
Specifically, it in the embodiment of the present invention, is changed using self-adapted genetic algorithm to all first initial acquisition strategies
Generation adjustment the specific implementation process is as follows:
Firstly, encoding respectively to all first initial acquisition strategies, all first initial acquisition strategies are obtained respectively
All first initial acquisition strategies can specifically be separately encoded as binary sequence, binary sequence by corresponding coded sequence
In 1 represent and carry out meteorological data collection, 0 in binary sequence is represented without meteorological data collection.For example, existing
High frequency acquisition strategies in technology then need to carry out altogether 144 gas in one day at interval of the meteorological data collection of progress in ten minutes
Image data acquisition, therefore high frequency acquisition strategies can be encoded toSimilarly, for each first initial acquisition plan
Slightly, equally it can be encoded to according to the acquisition time in each first initial acquisition strategy by binary system sequence in the manner described above
Column, such as can be expressed asWherein n indicates the total quantity of acquisition time in the first initial acquisition strategy.
It can be obtained all corresponding coded sequences of first initial acquisition strategy by above method step, in this base
On plinth, using the corresponding coded sequence of each first initial acquisition strategy as an individual, and by all first initial acquisition plans
Slightly corresponding coded sequence divides as a group, then to all corresponding coded sequences of first initial acquisition strategy
Not carry out selection operation, crossover operation and mutation operation, generate multiple new coded sequences.Selection behaviour in the embodiment of the present invention
Make, crossover operation and mutation operation refer to selection operation, crossover operation and mutation operation in self-adapted genetic algorithm.
It should be noted that selection operation refers to selecting winning individual from group, the operation of worst individual is eliminated,
The purpose of selection operation is that the individual of optimization is genetic directly to the next generation.In the embodiment of the present invention, initial to all first
Before the corresponding coded sequence of acquisition strategies carries out selection operation, the adaptation of each first initial acquisition strategy is calculated first
Degree calculates the selected probability of each first initial acquisition strategy further according to the fitness of each first initial acquisition strategy, most
The probability for combining each first initial acquisition strategy to be selected using roulette wheel selection eventually is to all first initial acquisition strategies
Corresponding coded sequence carries out selection operation.
It should be noted that crossover operation refers to that the part-structure two parent individualities is replaced recombination and generated
The operation of new individual.In the embodiment of the present invention, 0/1 gene-ratio to guarantee each individual is constant, therefore only when two individuals are handed over
Crossover operation occurs when 0/1 gene dosage is identical at left and right sides of crunode.Mutation operation refers to will be in individual chromosome coded strings
Certain locus on genic value replaced with other allele on the locus, to form new individual.This hair
In bright embodiment, 0/1 gene-ratio to guarantee each individual is constant, therefore generates two change points, only when two change point bases
Because it is different when, morph, do not morph then if they are the same simultaneously, population diversity can be maintained by mutation operation, to prevent
There is immature oils phenomenon.
In addition, it should be noted that, refer to due to selection operation, crossover operation and the mutation operation in the embodiment of the present invention
It is selection operation, crossover operation and the mutation operation in self-adapted genetic algorithm, therefore is carrying out crossover operation and mutation operation
When, it also needs to consider crossover probability PcWith mutation probability Pm.Crossover probability PcWith mutation probability PmHave to performance of genetic algorithms very big
It influences, directly affects Algorithm Convergence.Although PcPopulation is more prone to produce new individual when larger, but when it becomes larger,
Defect individual retention rate in population also reduces.To PmFor, this algorithm is equivalent to common random algorithm if its is excessive, loses
The meaning of genetic algorithm is gone.In the embodiment of the present invention, crossover probability PcWith mutation probability PmSpecific formula for calculation it is as follows:
Wherein, fmaxIndicate maximum fitness value in group；favgIndicate the average fitness value of per generation group；F ' expression
Biggish fitness value in two individuals to be intersected；F indicates the fitness value for the individual to be made a variation；Pc1、Pc2、Pm1And Pm2?
For constant, in the embodiment of the present invention, Pc1=0.9；Pc2=0.6；Pm1=0.1；Pm2=0.001.
Based on the above technical solution, according to selection operation, crossover operation and the variation in self-adapted genetic algorithm
The specific processing step of operation it is found that carry out selection behaviour to all corresponding coded sequences of first initial acquisition strategy respectively
The quantity and the quantity phase of the coded sequence before operation of the new coded sequence make, generated after crossover operation and mutation operation
Together.Finally, multiple acquisition strategies are obtained according to multiple new coded sequences, as the first initial acquisition strategy adjusted.It can
With understanding, for acquisition strategies, corresponding coded sequence can be obtained by coding, correspondingly, for code sequence
For column, corresponding acquisition strategies can also be obtained by decoding.
Meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention, to all first initial acquisition plans
It is slightly encoded respectively, obtains all corresponding coded sequences of first initial acquisition strategy；To all first initial acquisitions
The corresponding coded sequence of strategy carries out selection operation, crossover operation and mutation operation respectively, generates multiple new code sequences
Column；Multiple acquisition strategies are obtained according to multiple new coded sequences, as the first initial acquisition strategy adjusted.This method benefit
Adjustment is iterated to all first initial acquisition strategies with self-adapted genetic algorithm, with to all first initial acquisition strategies into
Row effectively optimization, so that the first initial acquisition strategy adjusted can effectively meet the requirement of fitness.
Based on any of the above-described embodiment, a kind of meteorological data collection strategy adaptive regulation method is provided, according to currently adopting
The meteorological data of the acquisition in first three day of market day calculates the fitness of all first initial acquisition strategies adjusted, specifically: it is right
In any one the first initial acquisition strategy adjusted, obtains and adjust from the meteorological data that the proxima luce (prox. luc) of current acquisition day acquires
The corresponding meteorological data of the first initial acquisition strategy after whole calculates the fitting of the first meteorological data as the first meteorological data
Residual sum of squares (RSS) between curve and the matched curve of the meteorological data of proxima luce (prox. luc) acquisition, as the first residual sum of squares (RSS)；From working as
The corresponding meteorological data of the first initial acquisition strategy adjusted is obtained in the meteorological data of the acquisition in first two days of preceding acquisition day, is made
For the second meteorological data, between the matched curve for calculating the meteorological data of matched curve and the acquisition in first two days of the second meteorological data
Residual sum of squares (RSS), as the second residual sum of squares (RSS)；Adjustment is obtained from the meteorological data of the acquisition in first three day of current acquisition day
The corresponding meteorological data of the first initial acquisition strategy afterwards, as third meteorological data, the fitting for calculating third meteorological data is bent
Residual sum of squares (RSS) between line and the matched curve of the meteorological data of acquisition in first three day, as third residual sum of squares (RSS)；According to
One residual sum of squares (RSS), the second residual sum of squares (RSS) and third residual sum of squares (RSS) calculate the adaptation of the first initial acquisition strategy adjusted
Degree.
Specifically, in the embodiment of the present invention, after calculating adjustment according to the meteorological data of the acquisition in first three day of current acquisition day
All first initial acquisition strategies fitness the specific implementation process is as follows:
For any one the first initial acquisition strategy adjusted, from the meteorological number of the proxima luce (prox. luc) acquisition of current acquisition day
The corresponding meteorological data of the first initial acquisition strategy adjusted is obtained according to middle, as the first meteorological data.For example, if working as
Preceding acquisition day is on March 13rd, 2019, then currently the proxima luce (prox. luc) of acquisition day refers on March 12nd, 2019, if adjusted the
The acquisition time for including in one initial acquisition strategy is respectively 00:00,04:00,07:00,12:00,14:00,16:00,18:
00,20:00,22:00,24:00 totally 10 acquisition times, then need to be from obtaining in the meteorological data that on March 12nd, 2019 acquires
The corresponding meteorological data of 10 acquisition times is stated, as the first meteorological data.On this basis, respectively to the first meteorological data and
The meteorological data of proxima luce (prox. luc) acquisition is fitted, and obtains the meteorological data of matched curve and the proxima luce (prox. luc) acquisition of the first meteorological data
Matched curve, then calculate the first meteorological data matched curve and proxima luce (prox. luc) acquisition meteorological data matched curve between
Residual sum of squares (RSS), as the first residual sum of squares (RSS).Wherein, residual sum of squares (RSS) indicates the effect of random error, the first residuals squares
With it is smaller, then it represents that it is similar between the matched curve of the first meteorological data and the matched curve for the meteorological data that proxima luce (prox. luc) acquires
It spends higher.If the matched curve of the meteorological data of proxima luce (prox. luc) acquisition is expressed asBy the quasi- of the first meteorological data
It closes curve and is expressed as y2=fXi(x), then the specific formula for calculation of the residual sum of squares (RSS) SSE between two matched curves is
Further, the first initial acquisition adjusted is obtained from the meteorological data of the acquisition in first two days of current acquisition day
The corresponding meteorological data of strategy calculates the matched curve and acquisition in first two days of the second meteorological data as the second meteorological data
Residual sum of squares (RSS) between the matched curve of meteorological data, as the second residual sum of squares (RSS)；From adopting first three day for current acquisition day
The corresponding meteorological data of the first initial acquisition strategy adjusted is obtained in the meteorological data of collection, as third meteorological data, meter
The residual sum of squares (RSS) between the matched curve of the meteorological data of matched curve and the acquisition in first three day of third meteorological data is calculated, as
Third residual sum of squares (RSS).It should be noted that the specific acquisition modes of the second residual sum of squares (RSS) and third residual sum of squares (RSS) can be with
Referring to the specific acquisition modes of above-mentioned first residual sum of squares (RSS), details are not described herein again.
Further, after calculating adjustment according to the first residual sum of squares (RSS), the second residual sum of squares (RSS) and third residual sum of squares (RSS)
The first initial acquisition strategy fitness, specific formula for calculation are as follows:
Wherein, fit is the fitness of the first initial acquisition strategy adjusted；SSE1For the first residual sum of squares (RSS)；SSE2For
Second residual sum of squares (RSS)；SSE3For third residual sum of squares (RSS).
Meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention, according to first three of current acquisition day
The meteorological data of day acquisition calculates the fitness of all first initial acquisition strategies adjusted, is conducive to combine institute adjusted
There is the fitness of the first initial acquisition strategy to filter out target acquisition strategies, so that carrying out meteorological number using target acquisition strategies
Daily meteorological data can be effectively restored according to acquisition, it is advantageously ensured that the accuracy of meteorological data monitoring result.
Based on any of the above-described embodiment, a kind of meteorological data collection strategy adaptive regulation method is provided, judgement is currently adopted
Whether market day is correction day, specifically: the interval number of days between current acquisition day and a upper correction day was calculated, if interval number of days
Not up to default correction interval number of days, it is determined that current acquisition day is non-correction day；If interval number of days reaches default correction interval
Number of days, it is determined that current acquisition day is correction day.
Specifically, by above method embodiment it is found that the fitness of acquisition strategies is according to first three current for acquiring day
What the meteorological data of day calculated, and the maximum acquisition strategies of fitness will be targeted acquisition strategies, therefore target acquires
The determination of strategy and the meteorological data of first three day of current acquisition day are closely related.Therefore, gas is carried out using target acquisition strategies
Image data acquisition is easy to produce accumulated error, in view of this, in order to eliminate accumulated error, presetting in the embodiment of the present invention
Correction interval number of days, i.e., be arranged a correction day at interval of certain number of days, and the elimination of accumulated error is carried out in correction day.Herein
On the basis of, when whether judgement current acquisition day is correction day, calculated the interval between current acquisition day and a upper correction day
Number of days, if the not up to default correction interval number of days of interval number of days, it is determined that current acquisition day is non-correction day；If interval number of days reaches
Number of days is spaced to default correction, it is determined that current acquisition day is correction day.It in other embodiments, can also consolidating every month
Determine to be set as correction day some day, can be configured, be not specifically limited herein according to actual needs.
Based on the above technical solution, if currently acquisition day is correction day, it is determined that the meteorological number of current acquisition day
It is default high frequency acquisition strategies according to acquisition strategies, i.e., carries out meteorological data collection using high frequency acquisition strategies in currently acquisition day.
It should be noted that often more using the times of collection that default high frequency acquisition strategies carry out meteorological data collection.The present invention is real
It applies in example, carries out meteorological data collection using default high frequency acquisition strategies in currently acquisition day and refer in currently acquisition day every
The acquisition of a meteorological data was carried out every ten minutes, then need to carry out 144 meteorological data collection operations altogether.In other embodiments
In, default high frequency acquisition strategies can be configured according to actual needs, be not specifically limited herein.It is understood that
The times of collection that day carries out meteorological data collection using default high frequency acquisition strategies of rectifying a deviation is more, therefore can effectively ensure meteorology
The accuracy of data is conducive to eliminate accumulated error.
Meteorological data collection strategy adaptive regulation method provided in an embodiment of the present invention calculates current acquisition day and upper one
Interval number of days between a correction day, if interval number of days reaches default correction interval number of days, it is determined that current acquisition day is correction
Day, and meteorological data collection is carried out using default high frequency acquisition strategies in correction day, to disappear to accumulated error day in correction
It removes, it is advantageously ensured that the accuracy of daily meteorological data collected.
Fig. 2 is the structural schematic diagram of meteorological data collection strategy self-adaptive regulating provided in an embodiment of the present invention, such as
Shown in Fig. 2, which includes: acquisition strategies generation module 21, acquisition strategies adjustment module 22 and acquisition strategies determining module 23,
Wherein:
Acquisition strategies generation module 21 is used for judging whether current acquisition day is correction day for any current acquisition day,
If the current acquisition day is non-correction day, multiple acquisition strategies are generated according to initial acquisition number at random, by the every of generation
A acquisition strategies are as the first initial acquisition strategy.
Specifically, weather station system need to be acquired daily meteorological data, in the embodiment of the present invention, by meteorological data
The same day of acquisition is as current acquisition day.For any one current acquisition day, acquisition strategies generation module 21 first determines whether to work as
Whether preceding acquisition day is correction day, wherein correction day is pre-set, for example, can be arranged one at interval of certain number of days
It rectifies a deviation day, correction day can also be set for the fixation of every month some day, can be configured according to actual needs, herein not
It is specifically limited.If judging currently to acquire day not to be correction day, i.e., currently acquisition day is non-correction day, then according to initial acquisition
Number generates multiple acquisition strategies at random, using each acquisition strategies of generation as the first initial acquisition strategy.Wherein, Mei Ge
It include multiple acquisition times, and the sum for the acquisition time for including in one initial acquisition strategy in each first initial acquisition strategy
It measures identical as initial acquisition number.
Acquisition strategies adjustment module 22 is for changing to all first initial acquisition strategies using self-adapted genetic algorithm
Generation adjustment, and after each iteration adjustment, institute adjusted is calculated according to the meteorological data of the acquisition in first three day of current acquisition day
There is the fitness of the first initial acquisition strategy, and filters out maximum adaptation degree.
Specifically, based on the above technical solution, acquisition strategies adjustment module 22 utilizes self-adapted genetic algorithm pair
All first initial acquisition strategies are iterated adjustment, to optimize to all first initial acquisition strategies.In each iteration
After adjustment, all first initial acquisition strategies adjusted are calculated according to the meteorological data of the acquisition in first three day of current acquisition day
Fitness.Wherein, currently the meteorological data of the acquisition in first three day of acquisition day includes currently acquiring the meteorology of the proxima luce (prox. luc) acquisition of day
The meteorological data of data, the meteorological data of acquisition in first two days and acquisition in first three day.For example, if currently acquisition day is 2019
March 13, then currently acquisition day first three day acquisition meteorological data include on March 10th, 2019 acquisition meteorological data,
The meteorological data of acquisition on March 11st, 2019 and the meteorological data of acquisition on March 12nd, 2019.Wherein, it each first initially adopts
The fitness of collection strategy is used to characterize the excellent degree of each first initial acquisition strategy, if some the first initial acquisition strategy
Fitness is bigger, then using the first initial acquisition strategy institute collected meteorological data matched curve and using high frequency acquisition
Strategy collected meteorological data matched curve it is more similar, that is, show that the first initial acquisition strategy is more excellent.Finally, it adopts
Collection Developing Tactics module 22 filters out maximum adaptation degree from the fitness of all first initial acquisition strategies.
Acquisition strategies determining module 23, if for current iteration number in default the number of iterations, and maximum adaptation degree is not
Less than fitness threshold value, then the corresponding acquisition strategies of maximum adaptation degree are obtained, as target acquisition strategies, by target acquisition strategies
It is determined as currently acquiring the meteorological data collection strategy of day.
Specifically, after each iteration adjustment, acquisition strategies determining module 23 judges the number of current iteration, if current change
Generation number is in default the number of iterations, and the above-mentioned maximum adaptation degree filtered out is not less than fitness threshold value, then obtains maximum suitable
The corresponding acquisition strategies of response, as target acquisition strategies.Finally, acquisition strategies determining module 23 determines target acquisition strategies
For the meteorological data collection strategy for currently acquiring day, that is, in currently acquisition day, multiple adopted according to include in target acquisition strategies
Collect time progress meteorological data collection.Wherein, default the number of iterations and fitness threshold value are pre-set, can be according to reality
Demand is configured, and is not specifically limited herein.
It is real specifically to execute above-mentioned each method for meteorological data collection strategy self-adaptive regulating provided in an embodiment of the present invention
A process is applied, please specifically be detailed in the content of above-mentioned each method embodiment, details are not described herein.
Meteorological data collection strategy self-adaptive regulating provided in an embodiment of the present invention currently acquires day for any,
Multiple acquisition strategies are generated at random by the way that initial acquisition number is arranged, and according to initial acquisition number, recycle Adaptive Genetic
Algorithm is iterated adjustment to all acquisition strategies, and filters out in all acquisition strategies after the adjustment and meet fitness requirement
Acquisition strategies as target acquisition strategies so that currently acquisition day using target acquisition strategies carry out meteorological data collection,
Since target acquisition strategies can satisfy the requirement of fitness, carrying out meteorological data collection using target acquisition strategies can
Daily meteorological data is effectively restored, it is advantageously ensured that the accuracy of meteorological data monitoring result；It is acquired simultaneously using target
The times of collection that strategy carries out meteorological data collection is far smaller than the acquisition for using high frequency acquisition strategies to carry out meteorological data collection
Daily meteorological data collection number has been reduced to a great extent in number, to advantageously reduce the power consumption of weather station system, energy
It is enough effectively to ensure that weather station system is run steadily in the long term.
Fig. 3 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention.Reference Fig. 3, the electronic equipment,
It include: processor (processor) 31, memory (memory) 32 and bus 33；Wherein, the processor 31 and memory 32
Mutual communication is completed by the bus 33；The processor 31 is used to call the program instruction in the memory 32,
To execute method provided by above-mentioned each method embodiment, for example, for any current acquisition day, judge current acquisition day
Whether it is correction day, if currently acquiring day is non-correction day, multiple acquisition strategies is generated according to initial acquisition number at random, it will
The each acquisition strategies generated are as the first initial acquisition strategy；Using self-adapted genetic algorithm to all first initial acquisition plans
It is slightly iterated adjustment, and after each iteration adjustment, is calculated and adjusted according to the meteorological data of the acquisition in first three day of current acquisition day
The fitness of all first initial acquisition strategies after whole, and filter out maximum adaptation degree；If current iteration number changes default
In generation number, and maximum adaptation degree is not less than fitness threshold value, then the corresponding acquisition strategies of maximum adaptation degree is obtained, as target
Target acquisition strategies are determined as currently acquiring the meteorological data collection strategy of day by acquisition strategies.
In addition, the logical order in above-mentioned memory 32 can be realized and as only by way of SFU software functional unit
Vertical product when selling or using, can store in a computer readable storage medium.Based on this understanding, this hair
Substantially the part of the part that contributes to existing technology or the technical solution can in other words for the technical solution of bright embodiment
To be expressed in the form of software products, which is stored in a storage medium, including some instructions
With so that computer equipment (can be personal computer, server or the network equipment an etc.) execution present invention is each
The all or part of the steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the various embodiments described above offer method when being executed by processor, for example, for any
Whether current acquisition day, judgement current acquisition day are correction day, if currently acquiring day is non-correction day, according to initial acquisition time
Number generates multiple acquisition strategies at random, using each acquisition strategies of generation as the first initial acquisition strategy；It is lost using adaptive
Propagation algorithm is iterated adjustment to all first initial acquisition strategies, and after each iteration adjustment, according to current acquisition day it
The meteorological data of acquisition in first three day calculates the fitness of all first initial acquisition strategies adjusted, and filters out maximum adaptation
Degree；If current iteration number is in default the number of iterations, and maximum adaptation degree is not less than fitness threshold value, then obtains maximum adaptation
Corresponding acquisition strategies are spent, as target acquisition strategies, the meteorological data that target acquisition strategies are determined as currently acquisition day is adopted
Collection strategy.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of meteorological data collection strategy adaptive regulation method characterized by comprising
For any current acquisition day, judge whether the current acquisition day is correction day, if the current acquisition day is non-entangles
Inclined day multiple acquisition strategies are then generated according to initial acquisition number at random, it is initial using each acquisition strategies of generation as first
Acquisition strategies；
Adjustment is iterated to all first initial acquisition strategies using self-adapted genetic algorithm, and after each iteration adjustment,
The suitable of all first initial acquisition strategies adjusted is calculated according to the meteorological data of the acquisition in first three day of the current acquisition day
Response, and filter out maximum adaptation degree；
If current iteration number is in default the number of iterations, and the maximum adaptation degree is not less than fitness threshold value, then obtains institute
The corresponding acquisition strategies of maximum adaptation degree are stated, as target acquisition strategies, the target acquisition strategies are determined as described current
Acquire the meteorological data collection strategy of day；
Wherein, include multiple acquisition times in each first initial acquisition strategy, and include in each first initial acquisition strategy
Acquisition time total quantity it is identical as the initial acquisition number.
2. the method according to claim 1, wherein if current iteration number reaches the default the number of iterations,
And the maximum adaptation degree is less than the fitness threshold value, then adjusts the initial acquisition number, initially adopted according to adjusted
Collection number generates multiple acquisition strategies at random, using each acquisition strategies of generation as the second initial acquisition strategy；
Adjustment is iterated to all second initial acquisition strategies using self-adapted genetic algorithm, and after each iteration adjustment,
The suitable of all second initial acquisition strategies adjusted is calculated according to the meteorological data of the acquisition in first three day of the current acquisition day
Response, and filter out maximum adaptation degree；
If current iteration number is in default the number of iterations, and the maximum adaptation degree is not less than the fitness threshold value, then obtains
The corresponding acquisition strategies of the maximum adaptation degree are taken, as target acquisition strategies, the target acquisition strategies are determined as described
The meteorological data collection strategy of current acquisition day；
Wherein, include multiple acquisition times in each second initial acquisition strategy, and include in each second initial acquisition strategy
Acquisition time total quantity it is identical as initial acquisition number adjusted.
3. the method according to claim 1, wherein using self-adapted genetic algorithm to all first initial acquisitions
Strategy is iterated adjustment, specifically:
All first initial acquisition strategies are encoded respectively, obtain all corresponding codings of first initial acquisition strategy
Sequence；
Selection operation, crossover operation and variation behaviour are carried out respectively to all corresponding coded sequences of first initial acquisition strategy
Make, generates multiple new coded sequences；
Multiple acquisition strategies are obtained according to multiple new coded sequences, as the first initial acquisition strategy adjusted.
4. the method according to claim 1, wherein according to the meteorology of the acquisition in first three day of the current acquisition day
Data calculate the fitness of all first initial acquisition strategies adjusted, specifically:
For any one the first initial acquisition strategy adjusted, from the meteorological number of the proxima luce (prox. luc) acquisition of the current acquisition day
The corresponding meteorological data of the first initial acquisition strategy adjusted is obtained according to middle, as the first meteorological data, described in calculating
Residual sum of squares (RSS) between the matched curve of the meteorological data of the matched curve of first meteorological data and proxima luce (prox. luc) acquisition, makees
For the first residual sum of squares (RSS)；
The first initial acquisition strategy adjusted is obtained from the meteorological data of the acquisition in first two days of the current acquisition day
Corresponding meteorological data, as the second meteorological data, the matched curve for calculating second meteorological data was adopted with described first two days
Residual sum of squares (RSS) between the matched curve of the meteorological data of collection, as the second residual sum of squares (RSS)；
The first initial acquisition strategy adjusted is obtained from the meteorological data of the acquisition in first three day of the current acquisition day
Corresponding meteorological data, as third meteorological data, the matched curve and first three described day for calculating the third meteorological data are adopted
Residual sum of squares (RSS) between the matched curve of the meteorological data of collection, as third residual sum of squares (RSS)；
It is initial that described adjusted first is calculated according to the first residual sum of squares (RSS), the second residual sum of squares (RSS) and third residual sum of squares (RSS)
The fitness of acquisition strategies.
5. according to the method described in claim 4, it is characterized in that, according to the first residual sum of squares (RSS), the second residual sum of squares (RSS) with
Third residual sum of squares (RSS) calculates the fitness of the first initial acquisition strategy adjusted, specific formula for calculation are as follows:
Wherein, fit is the fitness of the first initial acquisition strategy adjusted；SSE1For first residual sum of squares (RSS)；
SSE2For second residual sum of squares (RSS)；SSE3For the third residual sum of squares (RSS).
6. the method according to claim 1, wherein judging whether the current acquisition day is correction day, specifically
Are as follows:
The interval number of days between the current acquisition day and a upper correction day was calculated, is entangled if the interval number of days is not up to default
Interval number of days partially, it is determined that the current acquisition day is non-correction day；
If the interval number of days reaches default correction interval number of days, it is determined that the current acquisition day is correction day.
7. the method according to claim 1, wherein judging whether the current acquisition day is correction day, later
Further include:
If the current acquisition day is correction day, it is determined that the meteorological data collection strategy of the current acquisition day is default high frequency
Acquisition strategies.
8. a kind of meteorological data collection strategy self-adaptive regulating characterized by comprising
Acquisition strategies generation module, for judging whether the current acquisition day is correction day for any current acquisition day, if
The current acquisition day is non-correction day, then multiple acquisition strategies is generated at random according to initial acquisition number, by each of generation
Acquisition strategies are as the first initial acquisition strategy；
Acquisition strategies adjust module, for being iterated tune to all first initial acquisition strategies using self-adapted genetic algorithm
It is whole, and after each iteration adjustment, institute adjusted is calculated according to the meteorological data of the acquisition in first three day of the current acquisition day
There is the fitness of the first initial acquisition strategy, and filters out maximum adaptation degree；
Acquisition strategies determining module, if for current iteration number in default the number of iterations, and the maximum adaptation degree is not small
In fitness threshold value, then obtains the corresponding acquisition strategies of the maximum adaptation degree and adopt the target as target acquisition strategies
Collection strategy is determined as the meteorological data collection strategy of the current acquisition day；
Wherein, include multiple acquisition times in each first initial acquisition strategy, and include in each first initial acquisition strategy
Acquisition time total quantity it is identical as the initial acquisition number.
9. a kind of electronic equipment characterized by comprising
At least one processor；And
At least one processor being connect with the processor communication, in which:
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough methods executed as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in claim 1 to 7 is any.
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Application publication date: 20190712 Assignee: Yichang Shiwei Technology Co.,Ltd. Assignor: CHINA THREE GORGES University Contract record no.: X2023980051111 Denomination of invention: A method and device for adaptive adjustment of meteorological data collection strategy Granted publication date: 20210810 License type: Common License Record date: 20231213 |