CN117421538A - Detail waterproof data regulation and optimization method - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to a detail waterproof data regulation and optimization method, which comprises the following steps: collecting target waterproof temperature data, target waterproof humidity data, a plurality of historical waterproof temperature data and a plurality of historical waterproof humidity data; obtaining a temperature relative change amount according to the historical waterproof temperature data and the target waterproof temperature data; obtaining temperature reliability according to the temperature relative change quantity; dividing the historical waterproof temperature data to obtain a local historical time period; obtaining historical temperature importance according to the local historical time period; obtaining a temperature smoothing factor according to the temperature reliability and the historical temperature importance; obtaining a humidity smoothing factor according to the target waterproof humidity data and the historical waterproof humidity data; and obtaining noise reduction target temperature data and noise reduction target humidity data according to the temperature smoothing factor and the humidity smoothing factor. The invention improves the denoising degree and reduces the error of the denoising result.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a detail waterproof data regulation and optimization method.
Background
The waterproof construction is an important process for guaranteeing the waterproof performance of a building, and in the process of drying and curing the coating material, the coating material needs to be subjected to waterproof treatment, so that temperature data and humidity data in a waterproof construction environment need to be acquired, and waterproof analysis treatment is carried out; however, in the process of acquiring temperature data and humidity data, the temperature sensor and the humidity sensor can generate more noise signals due to the influence of factors such as internal circuits, electromagnetic interference, waterproof construction environment and the like, and the noise signals can cause certain errors in the originally acquired data to interfere with analysis results, so that the data needs to be denoised.
The traditional method generally carries out denoising on data by manually adjusting the smoothing factor of an index moving average method, but because the temperature data and the humidity data acquired under the waterproof construction can generate a certain degree of periodic change according to the construction progress, the degree of noise interference on the temperature data and the humidity data in different time periods is different, and the traditional manually adjusted smoothing factor cannot carry out self-adaptive adjustment according to the certain degree of periodic change of the temperature data and the humidity data, so that effective denoising cannot be carried out.
Disclosure of Invention
The invention provides a detail waterproof data regulation and optimization method, which aims to solve the existing problems: temperature data and humidity data that gathers under the waterproof construction can produce the periodic variation of certain degree because of the construction progress, makes temperature data and humidity data receive the degree of noise interference different in the different time slots, and traditional artificial adjustment's smoothing factor can not carry out the self-adaptation adjustment according to temperature data and the periodic variation of certain degree of humidity data, can't carry out effectual denoising.
The invention relates to a detail waterproof data regulation and control optimization method which adopts the following technical scheme:
the method comprises the following steps:
acquiring target waterproof temperature data, target waterproof humidity data, a plurality of historical waterproof temperature data and a plurality of historical waterproof humidity data of each temperature and humidity sensor under a waterproof construction environment, wherein the target waterproof temperature data and each historical waterproof temperature data correspond to one acquisition time;
obtaining the temperature relative variation of each temperature and humidity sensor according to the temperature variation between the historical waterproof temperature data and the target waterproof temperature data; for any one temperature and humidity sensor, the temperature and humidity sensors except the temperature and humidity sensor are recorded as control temperature and humidity sensors of the temperature and humidity sensor; obtaining a target temperature change weight of each target waterproof temperature data according to the target waterproof temperature data and the change difference of the temperature relative change quantity between the control temperature and humidity sensors; obtaining the temperature credibility of each target waterproof temperature data according to the relative temperature change and the duty ratio of the target temperature change weight between the temperature and humidity sensors, wherein the temperature credibility is used for describing the initial difference between the target waterproof temperature data and the real temperature data;
Collecting time division is carried out on all historical waterproof temperature data of the temperature and humidity sensor to obtain a plurality of local historical time periods; according to the correlation degree of the historical waterproof temperature data between the temperature and humidity sensor and the control temperature and humidity sensor in the local historical time period, obtaining a marking value of the historical waterproof temperature data in each local historical time period; according to the marking value and the difference condition of the acquisition time between the target waterproof temperature data and the local historical time periods, obtaining the historical temperature importance of each local historical time period, wherein the historical temperature importance is used for describing the noise quantity contained in the historical waterproof temperature data in the local historical time period; obtaining a temperature smoothing factor of each target temperature data according to the temperature reliability and the historical temperature importance, wherein the temperature smoothing factor is used for describing the final difference between the target waterproof temperature data and the real temperature data;
obtaining a humidity smoothing factor of each target humidity data according to the target waterproof humidity data and the historical waterproof humidity data, wherein the humidity smoothing factor is used for describing the final difference between the target waterproof humidity data and the real humidity data; denoising the target waterproof temperature data and the target waterproof humidity data according to the temperature smoothing factors and the humidity smoothing factors to obtain denoising target temperature data and denoising target humidity data of each temperature and humidity sensor.
Preferably, the method for obtaining the temperature relative variation of each temperature and humidity sensor according to the temperature variation between the historical waterproof temperature data and the target waterproof temperature data includes the following specific steps:
for any one temperature and humidity sensor, recording the absolute value of the difference value between the last historical waterproof temperature data of the temperature and humidity sensor and the target waterproof temperature data of the temperature and humidity sensor as the temperature variation of the target waterproof temperature data of the temperature and humidity sensor;
presetting a waterproof temperature data rangeThe method comprises the steps of carrying out a first treatment on the surface of the Will->And->The absolute value of the difference value of the temperature sensor is recorded as the maximum variation of the preset temperature, and the ratio of the maximum variation of the temperature to the maximum variation of the preset temperature is recorded as the relative variation of the temperature and humidity sensor.
Preferably, the method for obtaining the target temperature change weight of each target waterproof temperature data according to the target waterproof temperature data and the change difference of the temperature relative change quantity between the control temperature and humidity sensors comprises the following specific steps:
for any one of the temperature and humidity sensors, in the relative change amount of the target waterproof temperature data of all the temperature and humidity sensors, the frequency of occurrence of the numerical value of the relative change amount of the target waterproof temperature data of the temperature and humidity sensors is recorded as the temperature fixed frequency of the target waterproof temperature data of the temperature and humidity sensors; acquiring the temperature fixed frequency of target waterproof temperature data of all temperature and humidity sensors;
In the method, in the process of the invention,the target temperature change weight of any one of the temperature and humidity sensors, which is used for comparing the target waterproof temperature data of the temperature and humidity sensor, is represented; />Representing preset super parameters; />The average value of all historical waterproof temperature data of the temperature and humidity sensor is represented; />Representing the average value of all historical waterproof temperature data of the control temperature and humidity sensor; />A temperature fixed frequency of target waterproof temperature data of the control temperature and humidity sensor is represented; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
Preferably, the method for obtaining the temperature reliability of each target waterproof temperature data according to the relative change amount of the temperature and the duty ratio of the target temperature change weight between the control temperature and humidity sensors includes the following specific steps:
for any one temperature and humidity sensor, in all historical waterproof temperature data of the temperature and humidity sensor, the frequency of the occurrence of the numerical value of the target waterproof temperature data of the temperature and humidity sensor is recorded as the temperature historical frequency of the target waterproof temperature data of the temperature and humidity sensor;
in the method, in the process of the invention,the temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; />The relative change of the temperature of the target waterproof temperature data of the temperature and humidity sensor is represented; / >The number of all control temperature and humidity sensors of the temperature and humidity sensors is represented; />Represents the +.>Individual control of temperatureTarget temperature change weight of target waterproof temperature data of the humidity sensor; />Represents the +.>Target temperature change weights of target waterproof temperature data of the temperature and humidity sensors are controlled; />Represents the +.>Temperature relative variation of target waterproof temperature data of each control temperature and humidity sensor; />The temperature history frequency of the target waterproof temperature data of the temperature and humidity sensor is represented; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
Preferably, the method for acquiring and time-dividing all the historical waterproof temperature data of the temperature and humidity sensor to obtain a plurality of local historical time periods includes the following specific steps:
for any one temperature and humidity sensor, a two-dimensional coordinate system is constructed by taking the acquisition time as an abscissa and the historical waterproof temperature data as an ordinate, all the historical waterproof temperature data of the temperature and humidity sensor are input into the two-dimensional coordinate system, extreme points of all the historical waterproof temperature data of the temperature and humidity sensor are obtained, and a time period formed by all the acquisition time between any two adjacent extreme points is recorded as a local historical time period of the temperature and humidity sensor.
Preferably, the method for obtaining the marking value of the historical waterproof temperature data in each local historical time period according to the correlation degree of the historical waterproof temperature data between the temperature and humidity sensor and the control temperature and humidity sensor in the local historical time period includes the following specific steps:
presetting two marking value parameters U1 and U2, wherein U1 is a positive number and U2 is a negative number;
for any one local historical time period of any one temperature and humidity sensor and any one comparison temperature and humidity sensor, recording all historical waterproof temperature data of the temperature and humidity sensor in the local historical time period as target temperature data, and recording all historical waterproof temperature data of the comparison temperature and humidity sensor in the local historical time period as reference temperature data; if the covariance of the target temperature data and the reference temperature data is positive, marking the marking value of the historical waterproof temperature data in the local historical time period as U1; if the covariance of the target temperature data and the reference temperature data is a non-positive number, marking the marking value of the historical waterproof temperature data in the local historical time period as U2.
Preferably, the historical temperature importance of each local historical time period is obtained according to the marking value and the difference condition of the acquisition time between the target waterproof temperature data and the local historical time period, and the specific method comprises the following steps:
Presetting a waterproof temperature data range；
In the method, in the process of the invention,the historical temperature importance of any local historical time period of any one temperature and humidity sensor is represented; />The acquisition time of the target waterproof temperature data of the temperature and humidity sensor is represented; />Representing the average value of all acquisition times in the local historical time period; />Representing the number of all acquisition times within a local historical time period; />A sequence number representing the local history period in all the local history periods; />Representing preset super parameters; />Representing the average value of all historical waterproof temperature data in the local historical time period; />Data range +.>Is a median value of (2); />Representing the number of all local historical time periods; />A flag value representing historical waterproofing temperature data within a local historical time period; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
Preferably, the method for obtaining the temperature smoothing factor of each target temperature data according to the temperature reliability and the historical temperature importance includes the following specific steps:
in the method, in the process of the invention,a temperature smoothing factor representing target temperature data of any one of the temperature and humidity sensors; />Representing the number of all local historical time periods; / >Represents the +.o of the temperature and humidity sensor>Historical temperature importance of individual local historical time periods; />The temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; />An exponential function based on a natural constant is represented.
Preferably, the method for obtaining the humidity smoothing factor of each target humidity data according to the target waterproof humidity data and the historical waterproof humidity data includes the following specific steps:
the method for acquiring the temperature smoothing factor by referring to the target temperature data of each temperature and humidity sensor comprises the following steps:
presetting a waterproof humidity data rangeAccording to the waterproof humidity data range->Obtaining the temperature relative variation of the target waterproof humidity data of each temperature and humidity sensor; obtaining the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor according to the temperature relative variation of the target waterproof humidity data of each temperature and humidity sensorA target temperature change weight; obtaining the temperature credibility of the target waterproof humidity data of each temperature and humidity sensor according to the target temperature change weight of the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor; acquiring a marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor, and acquiring the historical temperature importance of each local historical time period of each temperature and humidity sensor according to the marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor; and obtaining a temperature smoothing factor of the target humidity data of each temperature and humidity sensor according to the historical temperature importance of each local historical time period of each temperature and humidity sensor, and recording the temperature smoothing factor as the humidity smoothing factor of the target humidity data of each temperature and humidity sensor.
Preferably, denoising the target waterproof temperature data and the target waterproof humidity data according to the temperature smoothing factor and the humidity smoothing factor to obtain noise reduction target temperature data and noise reduction target humidity data of each temperature and humidity sensor, including the following specific methods:
for any one temperature and humidity sensor, taking a temperature smoothing factor of target temperature data of the temperature and humidity sensor as a smoothing factor, carrying out exponential moving average on the target temperature data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target temperature data, and recording the smoothed target temperature data as noise reduction target temperature data of the temperature and humidity sensor; and taking a humidity smoothing factor of the target humidity data of the temperature and humidity sensor as a smoothing factor, performing exponential moving average on the target humidity data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target humidity data, and recording the smoothed target humidity data as noise reduction target humidity data of the temperature and humidity sensor.
The technical scheme of the invention has the beneficial effects that: obtaining target temperature change weight according to the historical waterproof temperature data and the target waterproof temperature data, obtaining temperature reliability according to the target temperature change weight, dividing all the historical waterproof temperature data to obtain local historical time periods, obtaining a marking value according to the local historical time periods, obtaining historical temperature importance according to the marking value, obtaining a temperature smoothing factor according to the temperature reliability and the historical temperature importance, and obtaining a humidity smoothing factor according to the historical waterproof humidity data and the target waterproof humidity data; denoising according to the temperature smoothing factor and the humidity smoothing factor to obtain noise reduction target temperature data and noise reduction target humidity data; the temperature reliability of the invention reflects the initial difference between the target waterproof temperature data and the real temperature data, the historical temperature importance reflects the noise amount contained in the historical waterproof temperature data in the local historical time period, the temperature smoothing factor reflects the final difference between the target waterproof temperature data and the real temperature data, and the humidity smoothing factor reflects the final difference between the target waterproof humidity data and the real humidity data; the smoothing factor of the exponential moving average method is more reasonable, the denoising degree is improved, and the error of the denoising result is reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of the steps of a detailed waterproof data regulation optimization method of the invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of a detail waterproof data regulation optimization method according to the invention by combining the accompanying drawings and the preferred embodiment. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the detailed waterproof data regulation optimization method provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a detailed waterproof data regulation optimization method according to an embodiment of the present invention is shown, where the method includes the following steps:
step S001: and acquiring a plurality of historical waterproof temperature data, a plurality of historical waterproof humidity data, target waterproof temperature data and target waterproof humidity data of each temperature and humidity sensor under the waterproof construction environment.
It should be noted that, in the conventional method, the data is usually denoised by manually adjusting the smoothing factor of the exponential moving average method, but because the temperature data and the humidity data collected under the waterproof construction will generate a certain degree of periodic change due to the construction progress, the degree of noise interference of the temperature data and the humidity data in different time periods is different, and the conventional manually adjusting the smoothing factor cannot be adaptively adjusted according to the certain degree of periodic change of the temperature data and the humidity data, so that effective denoising cannot be performed. Therefore, the embodiment provides a detail waterproof data regulation and control optimization method.
Specifically, in order to implement the detailed waterproof data regulation optimization method provided in this embodiment, first, historical waterproof temperature data, historical waterproof humidity data, target waterproof temperature data and target waterproof humidity data need to be collected, and the specific process is as follows: uniformly distributing 50 temperature and humidity sensors in a waterproof construction scene, wherein each temperature and humidity sensor respectively acquires temperature data and humidity data once every 5 seconds for one acquisition time, and the total acquisition time is 2 days; taking any one temperature and humidity sensor as an example, respectively marking temperature data and humidity data except the last acquired temperature data and humidity data as historical waterproof temperature data and historical waterproof humidity data in all temperature data and humidity data acquired by the temperature and humidity sensor, and respectively marking the last acquired temperature data and humidity data as target waterproof temperature data and target waterproof humidity data; and acquiring a plurality of historical waterproof temperature data, a plurality of historical waterproof humidity data, target waterproof temperature data and target waterproof humidity data of each temperature and humidity sensor.
So far, the method is used for obtaining a plurality of historical waterproof temperature data, a plurality of historical waterproof humidity data, target waterproof temperature data and target waterproof humidity data of each temperature and humidity sensor under the waterproof construction environment.
Step S002: obtaining the temperature relative variation of each temperature and humidity sensor according to the temperature variation between the historical waterproof temperature data and the target waterproof temperature data; acquiring target waterproof temperature data and comparing with a temperature and humidity sensor; obtaining a target temperature change weight of each target waterproof temperature data according to the target waterproof temperature data and the change difference of the temperature relative change quantity between the control temperature and humidity sensors; and obtaining the temperature credibility of each target waterproof temperature data according to the relative temperature change and the duty ratio of the target temperature change weight between the temperature and humidity sensors.
After the construction waterproof material is coated, the temperature and humidity of the construction environment need to be kept as much as possible in order to ensure the performance and effect of the waterproof material; the corresponding temperature and humidity threshold ranges are usually formulated according to the type, thickness and other factors of the waterproof materials, namely, the temperature and humidity sensor acquired data in different waterproof construction areas correspond to different threshold ranges, but as building waterproof construction is usually carried out floor by floor according to a construction plan, most of the temperature and humidity sensor acquired data correspond to similar threshold ranges under the general condition; the temperature and humidity of the construction environment are controlled by starting and stopping the air conditioning system, the humidifier, the dehumidifier and other equipment, so that the change trend of temperature data and humidity data in the waterproof construction environment periodically fluctuates, and the temperature and humidity changes in different areas are affected by noise changes of different degrees; therefore, the embodiment obtains the credibility of the latest temperature data and humidity data in different areas according to the weights by analyzing the weights of the latest temperature data and humidity data in different areas compared with the overall change rule.
Specifically, taking any one temperature and humidity sensor as an example, recording the absolute value of the difference value between the last historical waterproof temperature data of the temperature and humidity sensor and the target waterproof temperature data of the temperature and humidity sensor as the temperature variation of the target waterproof temperature data of the temperature and humidity sensor; presetting a waterproof temperature data rangeWherein the present embodiment uses，/>To describe the example, the present embodiment is not particularly limited, wherein +.>、/>Depending on the particular implementation; will->And->The absolute value of the difference value of the temperature sensor is recorded as the maximum variation of the preset temperature, and the ratio of the maximum variation of the preset temperature to the maximum variation of the preset temperature is recorded as the relative variation of the temperature and humidity sensor; and acquiring the temperature relative variation of the target waterproof temperature data of all the temperature and humidity sensors, taking any one temperature and humidity sensor as an example, and in the temperature relative variation of the target waterproof temperature data of all the temperature and humidity sensors, recording the frequency of occurrence of the numerical value of the temperature relative variation of the target waterproof temperature data of the temperature and humidity sensor as the temperature fixed frequency of the target waterproof temperature data of the temperature and humidity sensor, and acquiring the temperature fixed frequency of the target waterproof temperature data of all the temperature and humidity sensors. Wherein the historical waterproof temperature data of the temperature and humidity sensor defaults to enter in the order from small to large in acquisition time And (5) sequencing rows. In addition, it should be noted that each temperature and humidity sensor only corresponds to one temperature fixed frequency.
Further, taking any one temperature and humidity sensor as an example, the temperature and humidity sensors except the temperature and humidity sensor are recorded as a comparison temperature and humidity sensor of the temperature and humidity sensor; taking any one control temperature and humidity sensor as an example, a plurality of historical waterproof temperature data of the control temperature and humidity sensor obtain a target temperature change weight of target waterproof temperature data of the control temperature and humidity sensor. The calculation method of the target temperature change weight of the target waterproof temperature data of the control temperature and humidity sensor comprises the following steps:
in the method, in the process of the invention,a target temperature change weight indicating target waterproof temperature data of the control temperature and humidity sensor; />Representing a preset hyper-parameter, preset +.>For preventing->Too early towards 0; />Representing the average value of all historical waterproof temperature data of the temperature and humidity sensor; />Representing the average value of all historical waterproof temperature data of the control temperature and humidity sensor; />Temperature fixed frequency for representing target waterproof temperature data of control temperature and humidity sensorA rate; />The representation takes absolute value;an exponential function that is based on a natural constant; example use- >The functions represent inverse proportion relation and normalization processing, and an implementer can select the inverse proportion functions and the normalization functions according to actual conditions; />And the similarity degree between the temperature data of the temperature and humidity sensor and the temperature data of the control temperature and humidity sensor in the same time is shown. If the target temperature change weight of the target waterproof temperature data of the control temperature and humidity sensor is larger, the target waterproof temperature data of the control temperature and humidity sensor is larger in change degree compared with the whole target waterproof temperature data, and the target waterproof temperature data of the control temperature and humidity sensor is more likely to be interfered by noise. And acquiring target temperature change weights of target waterproof temperature data of all the control temperature and humidity sensors of the temperature and humidity sensor.
Further, in all the historical waterproof temperature data of the temperature and humidity sensor, the frequency of occurrence of the numerical value of the target waterproof temperature data of the temperature and humidity sensor is recorded as the temperature historical frequency of the target waterproof temperature data of the temperature and humidity sensor. And obtaining the temperature reliability of the target waterproof temperature data of the temperature and humidity sensor according to the target temperature change weight of all the target waterproof temperature data of the temperature and humidity sensor and the temperature history frequency of the target waterproof temperature data of the temperature and humidity sensor. Wherein each temperature and humidity sensor only corresponds to one temperature history frequency; in addition, the temperature reliability calculation method of the target waterproof temperature data of the temperature and humidity sensor comprises the following steps:
In the method, in the process of the invention,the temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; />The relative change of the temperature of the target waterproof temperature data of the temperature and humidity sensor is represented; />The number of all control temperature and humidity sensors of the temperature and humidity sensor is represented; />Represents the +.o of the temperature and humidity sensor>Target temperature change weights of target waterproof temperature data of the temperature and humidity sensors are controlled; />Represents the +.o of the temperature and humidity sensor>Target temperature change weights of target waterproof temperature data of the temperature and humidity sensors are controlled; />Represents the +.o of the temperature and humidity sensor>Temperature relative variation of target waterproof temperature data of each control temperature and humidity sensor; />Temperature history frequency of target waterproof temperature data of the temperature and humidity sensor is represented; />The representation takes absolute value; />An exponential function that is based on a natural constant; example use->The functions are presented with inverse proportion relation and normalization processing, and an implementer can select the inverse proportion function and the normalization function according to actual conditions. If the temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is higher, the target waterproof temperature data of the temperature and humidity sensor is closer to the real temperature data, and the degree of noise interference of the target waterproof temperature data of the temperature and humidity sensor is lower. And acquiring the temperature credibility of the target waterproof temperature data of all the temperature and humidity sensors.
So far, the temperature credibility of the target waterproof temperature data of all the temperature and humidity sensors is obtained through the method.
Step S003: collecting time division is carried out on all historical waterproof temperature data of the temperature and humidity sensor to obtain a plurality of local historical time periods; according to the correlation degree of the historical waterproof temperature data between the temperature and humidity sensor and the control temperature and humidity sensor in the local historical time period, obtaining a marking value of the historical waterproof temperature data in each local historical time period; obtaining the historical temperature importance of each local historical time period according to the marking value and the difference condition of the acquisition time between the target waterproof temperature data and the local historical time period; and obtaining a temperature smoothing factor of each target temperature data according to the temperature reliability and the historical temperature importance.
It should be noted that, for any one temperature and humidity sensor, since the temperature data and the humidity data of the temperature and humidity sensor are continuously collected, the target waterproof temperature data and the target waterproof humidity data of the temperature and humidity sensor respectively continue the trend of the historical waterproof temperature data and the trend of the historical waterproof humidity data; meanwhile, the historical waterproof temperature data and the historical waterproof humidity data in different time periods are different in noise interference degree, so that the change trend of the historical waterproof temperature data and the historical waterproof humidity data in different time periods is also affected by different degrees, deviation of different degrees occurs, and the final denoising result is affected; therefore, the embodiment determines the importance of the historical temperature and the importance of the historical humidity in the corresponding time periods by analyzing the change conditions of the historical waterproof temperature data and the historical waterproof humidity data in different time periods; and obtaining a corresponding smoothing factor according to the historical temperature importance and the historical humidity importance so as to facilitate subsequent analysis and processing.
Specifically, taking any one temperature and humidity sensor as an example, taking the acquisition time as an abscissa and the historical waterproof temperature data as an ordinate to construct a two-dimensional coordinate system, inputting all the historical waterproof temperature data of the temperature and humidity sensor into the two-dimensional coordinate system, acquiring extreme points of all the historical waterproof temperature data of the temperature and humidity sensor, and recording a time period formed by all the acquisition time between any two adjacent extreme points as a local historical time period of the temperature and humidity sensor; taking any one of the temperature and humidity sensors as an example, recording all historical waterproof temperature data of the temperature and humidity sensor in the local historical time period as target temperature data, and recording all historical waterproof temperature data of the temperature and humidity sensor as reference temperature data; if the covariance of the target temperature data and the reference temperature data is positive, marking the value of the historical waterproof temperature data in the local historical time periodIs marked as 1; if the covariance of the target temperature data and the reference temperature data is a non-positive number, marking the historical waterproof temperature data in the local historical time period with a marking value +. >Is designated as-1. Each temperature and humidity sensor corresponds to a plurality of local historical time periods; the covariance acquisition is a well-known technique, and this embodiment is not described in detail.
Further, the historical temperature importance of the local historical time period is obtained according to the marked value of the historical waterproof temperature data in the local historical time period. The method for calculating the historical temperature importance of the local historical time period comprises the following steps:
in the method, in the process of the invention,representing the historical temperature importance of the local historical time period; />The acquisition time of the target waterproof temperature data of the temperature and humidity sensor is represented; />Representing the average of all acquisition times within the local historical time period; />Representing the number of all acquisition times within the local historical time period; />A sequence number representing the local history period in all local history periods; />Representing a preset hyper-parameter, preset +.>For preventing->Too early towards 0; />Representing the average of all historical waterproof temperature data within the local historical time period; />Data range +.>Is a median value of (2);representing the number of all local historical time periods; />A flag value representing historical waterproofing temperature data within the local historical time period; / >The representation takes absolute value; />An exponential function that is based on a natural constant; example use->The functions are presented with inverse proportion relation and normalization processing, and an implementer can select the inverse proportion function and the normalization function according to actual conditions. And if the historical temperature importance of the local historical time period is larger, the historical temperature data in the local historical time period is less interfered by noise, and the historical temperature data in the local historical time period is reflected to be closer to the real historical temperature data. The historical temperature importance of all local historical time periods is obtained.
Further, a temperature smoothing factor of the target temperature data of the temperature and humidity sensor is obtained according to the historical temperature importance of all the local historical time periods. The calculation method of the temperature smoothing factor of the target temperature data of the temperature and humidity sensor comprises the following steps:
in the method, in the process of the invention,a temperature smoothing factor representing target temperature data of the temperature and humidity sensor; />Representing the number of all local historical time periods; />Represents the +.o of the temperature and humidity sensor>Historical temperature importance of individual local historical time periods; />The temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; / >An exponential function that is based on a natural constant; example use->The functions represent inverse proportion relation and normalization processing, and an implementer can select the inverse proportion functions and the normalization functions according to actual conditions; />Representation->Is used for the correction coefficient of (a). If the temperature smoothing factor of the target temperature data of the temperature and humidity sensor is larger, the target temperature data of the temperature and humidity sensor is not deviated from the real temperature data, and the degree of denoising the target temperature data of the temperature and humidity sensor is reflected to be smaller. And acquiring temperature smoothing factors of target temperature data of all the temperature and humidity sensors.
So far, the temperature smoothing factors of the target temperature data of all the temperature and humidity sensors are obtained through the method.
Step S004: obtaining a humidity smoothing factor of each target humidity data according to the target waterproof humidity data and the historical waterproof humidity data; denoising the target waterproof temperature data and the target waterproof humidity data according to the temperature smoothing factors and the humidity smoothing factors to obtain denoising target temperature data and denoising target humidity data of each temperature and humidity sensor.
Specifically, the method for acquiring the temperature smoothing factor by referring to the target temperature data of each temperature and humidity sensor comprises the following steps: presetting a waterproof humidity data range Wherein the present embodiment is +.>，/>To describe the example, the present embodiment is not particularly limited, wherein +.>、/>Can be according to the specific implementation, according to the waterproof humidity data range +.>Obtaining the temperature relative variation of the target waterproof humidity data of each temperature and humidity sensor; obtaining target temperature change weights of the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor according to the temperature relative change amount of the target waterproof humidity data of each temperature and humidity sensor; obtaining the temperature credibility of the target waterproof humidity data of each temperature and humidity sensor according to the target temperature change weight of the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor; acquiring a marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor, and acquiring the historical temperature importance of each local historical time period of each temperature and humidity sensor according to the marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor; according to the historical temperature importance of each local historical time period of each temperature and humidity sensor, obtaining And the temperature smoothing factor of the target humidity data of each temperature and humidity sensor is recorded as the humidity smoothing factor of the target humidity data of each temperature and humidity sensor.
Further, taking any one temperature and humidity sensor as an example, taking a temperature smoothing factor of target temperature data of the temperature and humidity sensor as a smoothing factor, smoothing the target temperature data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target temperature data, and recording the smoothed target temperature data as noise reduction target temperature data of the temperature and humidity sensor; and taking the humidity smoothing factor of the target humidity data of the temperature and humidity sensor as a smoothing factor, smoothing the target humidity data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target humidity data, and recording the smoothed target humidity data as noise reduction target humidity data of the temperature and humidity sensor. The process of smoothing the data according to the smoothing factor is known as an exponential moving average method, and this embodiment is not repeated. The noise reduction target temperature data and the noise reduction target humidity data are the latest temperature data after noise reduction and the latest humidity data after noise reduction, and the latest temperature data after noise reduction and the latest humidity data after noise reduction are the data after detail waterproof data regulation and optimization.
This embodiment is completed.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The detail waterproof data regulation and optimization method is characterized by comprising the following steps of:
acquiring target waterproof temperature data, target waterproof humidity data, a plurality of historical waterproof temperature data and a plurality of historical waterproof humidity data of each temperature and humidity sensor under a waterproof construction environment, wherein the target waterproof temperature data and each historical waterproof temperature data correspond to one acquisition time;
obtaining the temperature relative variation of each temperature and humidity sensor according to the temperature variation between the historical waterproof temperature data and the target waterproof temperature data; for any one temperature and humidity sensor, the temperature and humidity sensors except the temperature and humidity sensor are recorded as control temperature and humidity sensors of the temperature and humidity sensor; obtaining a target temperature change weight of each target waterproof temperature data according to the target waterproof temperature data and the change difference of the temperature relative change quantity between the control temperature and humidity sensors; obtaining the temperature credibility of each target waterproof temperature data according to the relative temperature change and the duty ratio of the target temperature change weight between the temperature and humidity sensors, wherein the temperature credibility is used for describing the initial difference between the target waterproof temperature data and the real temperature data;
Collecting time division is carried out on all historical waterproof temperature data of the temperature and humidity sensor to obtain a plurality of local historical time periods; according to the correlation degree of the historical waterproof temperature data between the temperature and humidity sensor and the control temperature and humidity sensor in the local historical time period, obtaining a marking value of the historical waterproof temperature data in each local historical time period; according to the marking value and the difference condition of the acquisition time between the target waterproof temperature data and the local historical time periods, obtaining the historical temperature importance of each local historical time period, wherein the historical temperature importance is used for describing the noise quantity contained in the historical waterproof temperature data in the local historical time period; obtaining a temperature smoothing factor of each target temperature data according to the temperature reliability and the historical temperature importance, wherein the temperature smoothing factor is used for describing the final difference between the target waterproof temperature data and the real temperature data;
obtaining a humidity smoothing factor of each target humidity data according to the target waterproof humidity data and the historical waterproof humidity data, wherein the humidity smoothing factor is used for describing the final difference between the target waterproof humidity data and the real humidity data; denoising the target waterproof temperature data and the target waterproof humidity data according to the temperature smoothing factors and the humidity smoothing factors to obtain denoising target temperature data and denoising target humidity data of each temperature and humidity sensor.
2. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the obtaining the temperature relative variation of each temperature and humidity sensor according to the temperature variation between the historical waterproof temperature data and the target waterproof temperature data comprises the following specific steps:
for any one temperature and humidity sensor, recording the absolute value of the difference value between the last historical waterproof temperature data of the temperature and humidity sensor and the target waterproof temperature data of the temperature and humidity sensor as the temperature variation of the target waterproof temperature data of the temperature and humidity sensor;
presetting a waterproof temperature data rangeThe method comprises the steps of carrying out a first treatment on the surface of the Will->And->The absolute value of the difference value of the temperature sensor is recorded as the maximum variation of the preset temperature, and the ratio of the maximum variation of the temperature to the maximum variation of the preset temperature is recorded as the relative variation of the temperature and humidity sensor.
3. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the obtaining the target temperature change weight of each target waterproof temperature data according to the target waterproof temperature data and the change difference of the temperature relative change amount between the control temperature and humidity sensors comprises the following specific steps:
for any one of the temperature and humidity sensors, in the relative change amount of the target waterproof temperature data of all the temperature and humidity sensors, the frequency of occurrence of the numerical value of the relative change amount of the target waterproof temperature data of the temperature and humidity sensors is recorded as the temperature fixed frequency of the target waterproof temperature data of the temperature and humidity sensors; acquiring the temperature fixed frequency of target waterproof temperature data of all temperature and humidity sensors;
In the method, in the process of the invention,the target temperature change weight of any one of the temperature and humidity sensors, which is used for comparing the target waterproof temperature data of the temperature and humidity sensor, is represented; />Representing preset super parameters; />The average value of all historical waterproof temperature data of the temperature and humidity sensor is represented;representing the average value of all historical waterproof temperature data of the control temperature and humidity sensor; />A temperature fixed frequency of target waterproof temperature data of the control temperature and humidity sensor is represented; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
4. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the obtaining the temperature credibility of each target waterproof temperature data according to the relative change amount of temperature and the duty ratio of the target temperature change weight between the control temperature and humidity sensors comprises the following specific steps:
for any one temperature and humidity sensor, in all historical waterproof temperature data of the temperature and humidity sensor, the frequency of the occurrence of the numerical value of the target waterproof temperature data of the temperature and humidity sensor is recorded as the temperature historical frequency of the target waterproof temperature data of the temperature and humidity sensor;
in the method, in the process of the invention,the temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; / >The relative change of the temperature of the target waterproof temperature data of the temperature and humidity sensor is represented; />The number of all control temperature and humidity sensors of the temperature and humidity sensors is represented; />Represents the +.>Target temperature change weights of target waterproof temperature data of the temperature and humidity sensors are controlled; />Represents the +.>Target temperature change weights of target waterproof temperature data of the temperature and humidity sensors are controlled; />Represents the +.>Temperature relative variation of target waterproof temperature data of each control temperature and humidity sensor; />The temperature history frequency of the target waterproof temperature data of the temperature and humidity sensor is represented; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
5. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the method for acquiring all historical waterproof temperature data of the temperature and humidity sensor for time division to obtain a plurality of local historical time periods comprises the following specific steps:
for any one temperature and humidity sensor, a two-dimensional coordinate system is constructed by taking the acquisition time as an abscissa and the historical waterproof temperature data as an ordinate, all the historical waterproof temperature data of the temperature and humidity sensor are input into the two-dimensional coordinate system, extreme points of all the historical waterproof temperature data of the temperature and humidity sensor are obtained, and a time period formed by all the acquisition time between any two adjacent extreme points is recorded as a local historical time period of the temperature and humidity sensor.
6. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the obtaining the marking value of the historical waterproof temperature data in each local historical time period according to the correlation degree of the historical waterproof temperature data between the temperature and humidity sensor and the control temperature and humidity sensor in the local historical time period comprises the following specific steps:
presetting two marking value parameters U1 and U2, wherein U1 is a positive number and U2 is a negative number;
for any one local historical time period of any one temperature and humidity sensor and any one comparison temperature and humidity sensor, recording all historical waterproof temperature data of the temperature and humidity sensor in the local historical time period as target temperature data, and recording all historical waterproof temperature data of the comparison temperature and humidity sensor in the local historical time period as reference temperature data; if the covariance of the target temperature data and the reference temperature data is positive, marking the marking value of the historical waterproof temperature data in the local historical time period as U1; if the covariance of the target temperature data and the reference temperature data is a non-positive number, marking the marking value of the historical waterproof temperature data in the local historical time period as U2.
7. The method for optimizing regulation and control of detail waterproof data according to claim 6, wherein the obtaining the historical temperature importance of each local historical time period according to the marking value and the difference condition of the acquisition time between the target waterproof temperature data and the local historical time period comprises the following specific steps:
Presetting a waterproof temperature data range；
In the method, in the process of the invention,the historical temperature importance of any local historical time period of any one temperature and humidity sensor is represented; />The acquisition time of the target waterproof temperature data of the temperature and humidity sensor is represented; />Representing the average value of all acquisition times in the local historical time period; />Representing the number of all acquisition times within a local historical time period; />A sequence number representing the local history period in all the local history periods; />Representing preset super parameters; />Representing the average value of all historical waterproof temperature data in the local historical time period; />Data range +.>Is a median value of (2); />Representing the number of all local historical time periods; />A flag value representing historical waterproofing temperature data within a local historical time period; />The representation takes absolute value; />An exponential function based on a natural constant is represented.
8. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the method for obtaining the temperature smoothing factor of each target temperature data according to the temperature reliability and the historical temperature importance comprises the following specific steps:
in the method, in the process of the invention,a temperature smoothing factor representing target temperature data of any one of the temperature and humidity sensors; / >Representing the number of all local historical time periods; />Represents the +.o of the temperature and humidity sensor>Historical temperature importance of individual local historical time periods; />The temperature reliability of the target waterproof temperature data of the temperature and humidity sensor is represented; />An exponential function based on a natural constant is represented.
9. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein the method for obtaining the humidity smoothing factor of each target humidity data according to the target waterproof humidity data and the historical waterproof humidity data comprises the following specific steps:
the method for acquiring the temperature smoothing factor by referring to the target temperature data of each temperature and humidity sensor comprises the following steps:
presetting a waterproof humidity data rangeAccording to the waterproof humidity data range->Obtaining the temperature relative variation of the target waterproof humidity data of each temperature and humidity sensor; obtaining target temperature change weights of the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor according to the temperature relative change amount of the target waterproof humidity data of each temperature and humidity sensor; obtaining the temperature credibility of the target waterproof humidity data of each temperature and humidity sensor according to the target temperature change weight of the target waterproof humidity data of all the control temperature and humidity sensors of each temperature and humidity sensor; acquiring a marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor, and acquiring the historical temperature importance of each local historical time period of each temperature and humidity sensor according to the marking value of the historical waterproof humidity data in each local historical time period of each temperature and humidity sensor; and obtaining a temperature smoothing factor of the target humidity data of each temperature and humidity sensor according to the historical temperature importance of each local historical time period of each temperature and humidity sensor, and recording the temperature smoothing factor as the humidity smoothing factor of the target humidity data of each temperature and humidity sensor.
10. The method for optimizing regulation and control of detail waterproof data according to claim 1, wherein denoising is performed on target waterproof temperature data and target waterproof humidity data according to a temperature smoothing factor and a humidity smoothing factor to obtain noise reduction target temperature data and noise reduction target humidity data of each temperature and humidity sensor, comprising the following specific steps:
for any one temperature and humidity sensor, taking a temperature smoothing factor of target temperature data of the temperature and humidity sensor as a smoothing factor, carrying out exponential moving average on the target temperature data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target temperature data, and recording the smoothed target temperature data as noise reduction target temperature data of the temperature and humidity sensor; and taking a humidity smoothing factor of the target humidity data of the temperature and humidity sensor as a smoothing factor, performing exponential moving average on the target humidity data of the temperature and humidity sensor according to the smoothing factor to obtain smoothed target humidity data, and recording the smoothed target humidity data as noise reduction target humidity data of the temperature and humidity sensor.
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