CN119002603B - Temperature and humidity control method and system based on energy-saving dryer - Google Patents
Temperature and humidity control method and system based on energy-saving dryer Download PDFInfo
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Abstract
The application provides a temperature and humidity control method and a temperature and humidity control system based on an energy-saving dryer, which are used for determining an energy consumption distribution diagram of a target object through all historical energy consumption data, determining energy consumption cross entropy of each stage according to the energy consumption distribution diagram, determining a plurality of energy consumption scale components according to all the energy consumption cross entropy, determining temperature hysteresis information of the target object through all the energy consumption scale components and preset drying time, determining an energy consumption fluctuation domain when the energy-saving dryer is used for adjusting the humidity of the target object according to environmental humidity data and all the historical energy consumption data, determining energy consumption confidence indexes of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and performing confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes. The scheme can weaken the influence of energy consumption fluctuation on uneven drying of articles in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.
Description
Technical Field
The application relates to the technical field of temperature and humidity control, in particular to a temperature and humidity control method and system based on an energy-saving dryer.
Background
Temperature and humidity control refers to a process of maintaining or achieving a desired climate condition in a specific environment by adjusting temperature and humidity, and is mainly aimed at ensuring that the temperature and humidity of the environment are within a set range, and meeting requirements of human comfort, process requirements or equipment operation.
The temperature and humidity control based on the energy-saving dryer refers to a technical means for realizing minimization of energy consumption and maximization of drying effect by optimizing a temperature and humidity control strategy in the drying process, and the method is mainly used for drying of wood veneers, so that product quality is ensured, energy consumption is reduced, in the temperature and humidity control process of the existing energy-saving dryer, the energy consumption of the energy-saving dryer is regulated and controlled by monitoring and optimizing regulation and control of the energy-saving dryer in real time, and although the energy-saving dryer is integrally energy-saving, excessive reaction or hysteresis reaction of a control system can occur when the load changes and the environmental conditions severely fluctuate, and larger fluctuation of energy consumption of the energy-saving dryer can occur, so that the phenomenon of uneven drying of the energy-saving dryer on objects is caused, and therefore, how to weaken the influence of fluctuation of energy consumption on uneven drying of objects in the energy-saving dryer is weakened, and the drying effect of the energy-saving dryer is improved to be a problem faced by the industry.
Disclosure of Invention
The application provides a temperature and humidity control method and a temperature and humidity control system based on an energy-saving dryer, which can weaken the influence of energy consumption fluctuation on uneven drying of articles in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.
In a first aspect, the present application provides a temperature and humidity control method based on an energy-saving dryer, including the following steps:
Acquiring historical energy consumption data of a target object in each stage of energy-saving drying equipment;
extracting an energy consumption distribution map of the target object from all historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage;
Determining energy consumption cross entropy when temperature switching is carried out on the target object in each stage based on the environmental temperature data of the target object and the energy consumption distribution diagram, carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropy, further obtaining a plurality of energy consumption scale components, and determining temperature lag information of the target object to be regulated according to all the energy consumption scale components and preset drying time;
acquiring environmental humidity data of a target object, and determining an energy consumption fluctuation domain of the energy-saving drying equipment when the energy-saving drying equipment carries out humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram;
And determining the energy consumption confidence indexes of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and carrying out confidence adjustment on the temperature and the humidity of the target object according to all the energy consumption confidence indexes.
In some embodiments, extracting the energy consumption profile of the target object from all the historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage specifically includes:
Acquiring the distribution characteristics of the temperature and the humidity of the target object in each stage;
determining the energy consumption characteristic quantity of the target object in each stage according to all the historical energy consumption data;
and determining an energy consumption distribution map of the target object according to the distribution characteristics and all the energy consumption characteristic quantities.
In some embodiments, determining the energy consumption cross entropy of each stage in temperature switching the target object based on the environmental temperature data of the target object and the energy consumption profile specifically includes:
acquiring environmental temperature data of a target object;
determining the energy consumption difference of each stage according to the energy consumption distribution map;
selecting one stage as a selected stage, and determining a plurality of energy consumption duty ratios according to historical energy consumption data corresponding to the selected stage and energy consumption difference amounts corresponding to the selected stage;
Determining energy consumption cross entropy when temperature switching is carried out on the target object in a selected stage according to all the energy consumption duty ratios and the environmental temperature data;
and continuously determining the energy consumption cross entropy when the temperature of the target object is switched in the rest stage.
In some embodiments, the step of performing segment matching on the temperatures of the target object at different stages according to all the energy consumption cross entropy, so as to obtain a plurality of energy consumption scale components specifically includes:
Acquiring the distribution characteristics of temperature and humidity of a target object at different stages;
Dividing the temperature matching degree of the target object in different stages from the distribution characteristics through all energy consumption cross entropy;
acquiring a preset target temperature of a target object;
and determining a plurality of energy consumption scale components according to all the temperature matching degrees and the target temperature.
In some embodiments, determining temperature hysteresis information for conditioning the target article from all energy consumption scale components and a preset drying time specifically includes:
Acquiring preset drying time;
Determining a plurality of hysteresis parameters of the temperature content of the target object according to all the energy consumption scale components;
And determining temperature hysteresis information of the adjusting target object according to all hysteresis adjusting amounts and the drying time.
In some embodiments, determining, according to the environmental humidity data and the energy consumption distribution map, an energy consumption fluctuation domain of the energy-saving drying device when the energy-saving drying device performs humidity adjustment on the target object specifically includes:
Determining humidity fluctuation cost of the environmental humidity data;
determining energy consumption fluctuation cost according to the energy consumption distribution map;
Determining an energy consumption reachable domain according to the environmental humidity data and all the historical energy consumption data;
And determining an energy consumption fluctuation domain when the energy-saving drying equipment adjusts the temperature and humidity of the target object according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption reachable domain.
In some embodiments, determining the energy consumption confidence index of the target item in each stage by the energy consumption fluctuation domain and the temperature hysteresis information specifically comprises:
Determining the energy consumption net amount of the target object in each stage according to the energy consumption fluctuation domain;
Acquiring response time of the energy-saving drying equipment;
Determining a hysteresis margin of a target article according to the temperature hysteresis information and the response time;
and determining the energy consumption confidence index of the temperature and humidity of the target object in each stage through all the energy consumption net amounts and the hysteresis margin.
In a second aspect, the present application provides a temperature and humidity control system based on an energy-saving dryer, including:
the acquisition module is used for acquiring historical energy consumption data of the target object in each stage of the energy-saving drying equipment;
the processing module is used for extracting an energy consumption distribution diagram of the target object from all historical energy consumption data based on the distribution characteristics of the temperature and the humidity of the target object in each stage;
The processing module is further used for determining energy consumption cross entropy when the temperature of the target object is switched in each stage based on the environmental temperature data of the target object and the energy consumption distribution diagram, carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropy, further obtaining a plurality of energy consumption scale components, and determining temperature hysteresis information of the target object to be adjusted according to all the energy consumption scale components and preset drying time;
the processing module is also used for acquiring the environmental humidity data of the target object, and determining an energy consumption fluctuation domain when the energy-saving drying equipment carries out humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram;
And the execution module is used for determining the energy consumption confidence indexes of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and carrying out confidence adjustment on the temperature and the humidity of the target object according to all the energy consumption confidence indexes.
In a third aspect, the present application provides a computer device, where the computer device includes a memory and a processor, where the memory stores codes, and the processor is configured to obtain the codes and execute the temperature and humidity control method based on the energy-saving dryer.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the above-mentioned temperature and humidity control method based on an energy-saving dryer.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
According to the temperature and humidity control method and system based on the energy-saving dryer, historical energy consumption data of a target object in each stage of energy-saving drying equipment are firstly obtained, an energy consumption distribution map of the target object is extracted from all historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage, energy consumption cross entropy when the temperature of the target object is switched in each stage is determined based on the environmental temperature data of the target object and the energy consumption distribution map, the temperatures of the target object in different stages are subjected to sectional matching according to all the energy consumption cross entropy, a plurality of energy consumption scale components are further obtained, temperature lag information of the target object is determined and adjusted according to all the energy consumption scale components and preset drying time, environmental humidity data of the target object is obtained, an energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target object is determined according to the environmental humidity data and the energy consumption distribution map, energy consumption confidence indexes of the target object in each stage are determined according to the energy consumption fluctuation domain and the temperature lag information, and confidence of the target object is adjusted according to all the energy consumption confidence indexes.
Therefore, in the temperature and humidity control process of the energy-saving dryer, firstly, the historical energy consumption data of each stage are combined with the distribution characteristics of the temperature and humidity in each stage to analyze the energy consumption condition of the corresponding stage, the distribution degree of the energy consumption of the energy-saving dryer on the target object in each stage is determined, the energy consumption scale component of each stage is obtained, the distribution condition of the energy consumption of each stage is solved, the temperature hysteresis degree of the energy-saving dryer on each stage is determined through all the energy consumption scale components, the temperature hysteresis information is obtained, the temperature hysteresis information is used for adjusting the power consumption fluctuation condition of each stage, the power consumption fluctuation condition of each stage is further solved, secondly, the historical energy consumption data of each stage is analyzed through the environmental humidity data, the fluctuation range of the energy consumption of the energy-saving dryer on the target object is determined, the energy consumption fluctuation range is further obtained, the energy consumption fluctuation range is used for predicting the energy consumption fluctuation condition of the energy-saving dryer on the target object during processing, the power consumption fluctuation condition of the energy-saving dryer is convenient to solve, the confidence index is further determined through the energy consumption fluctuation range and the temperature hysteresis information, the temperature and humidity of the energy consumption of the target object in each stage is convenient to adjust the confidence index, and the confidence index of the energy consumption of the energy-saving dryer on the target object is reasonable, and the confidence index of the energy consumption is reduced during the processing of the target object is processed, and finally, the energy consumption confidence index is well is processed. The scheme can weaken the influence of energy consumption fluctuation on uneven drying of articles in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.
Drawings
FIG. 1 is an exemplary flow chart of a method of controlling temperature and humidity based on an energy efficient dryer according to some embodiments of the present application;
FIG. 2 is a partial schematic view of stages 1 and 2 of an energy consumption profile according to some embodiments of the application;
FIG. 3 is an exemplary flow chart for determining energy consumption cross entropy, according to some embodiments of the application;
FIG. 4 is an exemplary flow chart illustrating determining energy consumption fluctuation domains according to some embodiments of the present application;
FIG. 5 is a schematic diagram of exemplary hardware and/or software of an energy-efficient dryer-based climate control system in accordance with some embodiments of the present application;
Fig. 6 is a schematic structural diagram of a computer device for implementing a temperature and humidity control method based on an energy-saving dryer according to some embodiments of the present application.
Detailed Description
The method comprises the steps of obtaining historical energy consumption data of a target object in each stage of energy-saving drying equipment, extracting an energy consumption distribution diagram of the target object from all historical energy consumption data based on the distribution characteristics of temperature and humidity of the target object in each stage, determining energy consumption cross entropy of the target object in each stage when temperature switching is carried out on the target object based on the environmental temperature data of the target object and the energy consumption distribution diagram, carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropy, further obtaining a plurality of energy consumption scale components, determining temperature lag information of the target object according to all the energy consumption scale components and preset drying time, obtaining environmental humidity data of the target object, determining an energy consumption fluctuation domain when the energy-saving drying equipment carries out humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram, determining an energy consumption confidence index of the target object in each stage according to the energy consumption fluctuation domain and the temperature lag information, and carrying out confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes. The scheme can weaken the influence of energy consumption fluctuation on uneven drying of articles in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of an energy-saving dryer-based temperature and humidity control method 100 according to some embodiments of the present application, the energy-saving dryer-based temperature and humidity control method 100 mainly includes the following steps:
in step 101, historical energy consumption data for a target item at various stages in an energy-efficient drying apparatus is obtained.
In a specific implementation, the target object may be a wood veneer, etc., and after the energy-saving drying device is started, historical energy consumption data of each stage of the target object (for example, the wood veneer) in the energy-saving drying device is obtained from a database of the energy-saving drying device, wherein the energy-saving drying device comprises a pretreatment stage, a drying stage (namely, a heating stage, a constant-speed drying stage and a deceleration drying stage), a cooling stage and a post-treatment stage, and the historical energy consumption data represents a set of all historical energy consumption.
It should be noted that, in the present application, the historical energy consumption in the historical energy consumption data represents the energy consumption required when the target object is processed in the past in the corresponding stage, the energy consumption consumed when the target object is processed in each past stage is collected by the energy consumption monitor, and all the energy consumption is stored in the database of the energy-saving drying device, and in other embodiments, the energy consumption can be collected in other manners, which is not repeated here.
In step 102, the energy consumption profile of the target item is extracted from all of the historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target item at each stage.
In some embodiments, the extraction of the energy consumption distribution map of the target object from all the historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage may be implemented by the following steps:
Acquiring the distribution characteristics of the temperature and the humidity of the target object in each stage;
determining the energy consumption characteristic quantity of the target object in each stage according to all the historical energy consumption data;
and determining an energy consumption distribution map of the target object according to the distribution characteristics and all the energy consumption characteristic quantities.
The method comprises the steps of obtaining the humidity and the temperature required by a target object in each stage from a database of energy-saving drying equipment, taking a set of the humidity and the temperature required by each stage as the temperature and the temperature required by the target object in the corresponding stage, wherein the temperature and the temperature required by the target object in the corresponding stage are distributed, the temperature and the temperature required by the target object in the corresponding stage are distributed to be used for analyzing the processing state of the target object, determining the energy consumption characteristic quantity of the target object in each stage according to all historical energy consumption data, namely, selecting one stage as a selected stage, dividing the maximum historical energy consumption in the historical energy consumption data corresponding to the selected stage by the minimum historical energy consumption, multiplying the value obtained by the logarithm operation by the average value of all the historical energy consumption in the historical energy consumption data, continuously determining the energy consumption characteristic quantity of the target object in the selected stage, wherein the characteristic quantity of the target object in the corresponding stage is not used for determining the energy consumption of the target object in other stages, and determining the other energy consumption conditions in the corresponding stages.
In specific implementation, the energy consumption distribution diagram of the target object is determined according to the distribution characteristics and all the energy consumption characteristic quantities by adopting the following modes: selecting adjacent stages as selected adjacent stages, subtracting the required humidity corresponding to the 2 nd stage of the selected adjacent stages from the required humidity corresponding to the 1 st stage of the selected adjacent stages from the distribution characteristics, using the subtracted values as humidity difference values of the selected adjacent stages, wherein the humidity difference values represent parameter values of the humidity difference degrees between the adjacent stages, subtracting the required temperature corresponding to the 1 st stage of the selected adjacent stages from the required temperature corresponding to the 2 nd stage of the selected adjacent stages from the distribution characteristics, using the subtracted values as temperature difference values of the selected adjacent stages, wherein the temperature difference values represent parameter values of the temperature difference degrees between the adjacent stages, continuing to determine the humidity difference values and the temperature difference values of the remaining adjacent stages, using the humidity difference values and the temperature difference values between the adjacent stages as connection lines between the corresponding adjacent stages, respectively, connecting the respective energy consumption characteristic amounts according to the connection lines in the order of the corresponding stages in the energy-saving drying device, and using the obtained graph after the connection as an energy consumption distribution graph, for example, referring to fig. 2, which is a graph corresponding to the energy consumption graph 1 and the corresponding to the corresponding energy consumption graph 1, the corresponding to the 1 st stage 1, the corresponding to the corresponding energy consumption graph 1, the corresponding to the corresponding stage 1, the temperature difference value between the adjacent stages 1, and the corresponding to the 1 st stage 1, and the corresponding difference value, and the corresponding phase 1, other ways of determining may be used in other embodiments, and are not limited in this regard.
The energy consumption distribution diagram in the application is a distribution diagram reflecting the relation between the historical energy consumption and the temperature and humidity, and is used for analyzing the state of the target object in the processing process, so that the power consumption of the target object in each stage can be reasonably distributed.
In step 103, energy consumption cross entropy when temperature switching is performed on the target object in each stage is determined based on the environmental temperature data of the target object and the energy consumption distribution diagram, the temperatures of the target object in different stages are subjected to sectional matching according to all the energy consumption cross entropy, a plurality of energy consumption scale components are further obtained, and temperature hysteresis information of the target object is determined and adjusted according to all the energy consumption scale components and preset drying time.
In some embodiments, referring to fig. 3, which is a schematic flow chart of determining energy consumption cross entropy in some embodiments of the present application, determining energy consumption cross entropy in each stage when temperature switching is performed on a target object based on environmental temperature data of the target object and the energy consumption distribution map in this embodiment may be implemented by the following steps:
first, in step 1031, ambient temperature data of a target article is acquired;
Next, in step 1032, determining energy consumption differences of each stage according to the energy consumption distribution map;
Further, in step 1033, selecting a stage as a selected stage, and determining a plurality of energy consumption ratios according to the historical energy consumption data corresponding to the selected stage and the energy consumption difference amount corresponding to the selected stage;
Thus, in step 1034, determining the cross entropy of energy consumption when temperature switching the target object at the selected stage according to all the energy consumption duty ratios and the environmental temperature data;
finally, in step 1035, the energy consumption cross entropy when the temperature of the target object is switched in the remaining phase is continuously determined.
In particular, all temperatures around the target object during processing are collected through a temperature sensor in the prior art, each temperature is taken as an ambient temperature, and a set of all ambient temperatures is taken as ambient temperature data of the target object, wherein the ambient temperature data represents the set of the ambient temperatures of the target object during processing and is used for adjusting the temperature required by the target object, and in other embodiments, the temperature required by the target object can be determined in other manners, and the method is not limited herein.
The method comprises the steps of adding standard deviations of all humidity difference values in an energy consumption distribution diagram and standard deviations of all temperature difference values in the energy consumption distribution diagram, performing natural exponential operation on the added values, and taking the inverse of the value obtained by the natural exponential operation as an energy consumption fluctuation coefficient, wherein the energy consumption fluctuation coefficient represents parameters of energy consumption fluctuation degree caused by temperature and humidity change between each stage and is used for analyzing energy consumption of each stage, multiplying the energy consumption fluctuation coefficient by energy consumption characteristic quantities corresponding to each stage in the energy consumption distribution diagram, and taking the multiplied values as energy consumption difference quantities of the corresponding stages, wherein the energy consumption difference value represents parameter values of the difference degree between the corresponding stage and design energy consumption when processing a target object; the method comprises selecting one historical energy consumption in historical energy consumption data as selected historical energy consumption, dividing the selected historical energy consumption by the energy consumption difference corresponding to the selected stage, taking the divided value as the energy consumption ratio of the selected historical energy consumption, continuously determining the energy consumption ratio of the rest historical energy consumption, wherein the energy consumption ratio represents a parameter value of the energy consumption ratio degree of the historical energy consumption in the whole production process of the stage, determining the energy consumption cross entropy of the selected stage when the temperature of the target object is switched according to all the energy consumption ratios and the environmental temperature data, namely multiplying the entropy of all the energy consumption ratios by the entropy of all the environmental temperatures in the environmental temperature data, the multiplied values are used as the cross entropy of energy consumption when the temperature of the target object is switched in the selected stage, and in other embodiments, the cross entropy can be determined in other manners, which is not limited herein.
The energy consumption cross entropy in the application is a parameter value reflecting the cross degree of the power consumption when the temperature of the target object is switched (namely, the change condition of the power consumption when the target object is processed), and is used for judging the conversion between the power consumption, so that the temperature of the target object at the stage is conveniently analyzed.
In some embodiments, the temperature of the target object at different stages is matched in sections according to all the energy consumption cross entropy, so as to obtain a plurality of energy consumption scale components, which can be realized by the following steps:
Acquiring the distribution characteristics of temperature and humidity of a target object at different stages;
Dividing the temperature matching degree of the target object in different stages from the distribution characteristics through all energy consumption cross entropy;
acquiring a preset target temperature of a target object;
and determining a plurality of energy consumption scale components according to all the temperature matching degrees and the target temperature.
In the specific implementation, the temperature matching degree of the target object in different stages is divided from the distribution characteristics through all energy consumption cross entropy, namely, one stage is selected as a selected stage, the energy consumption cross entropy corresponding to the selected stage is subtracted from the temperature corresponding to the selected stage in the distribution characteristics, the absolute value of the subtracted value is divided by the temperature corresponding to the selected stage, the obtained value is taken as the temperature matching degree of the selected stage, and the temperature matching degree of the rest stages is continuously determined, wherein the temperature matching degree represents the parameter value of the matching degree of the temperature in the target object in the stage and the set temperature and is used for analyzing the temperature condition of the target object; the method for acquiring the preset target temperature of the target object can be realized by acquiring the preset target temperature of the target object from a database corresponding to the target object, wherein the target temperature represents the temperature required to be reached after the target object is dried by energy-saving drying equipment, determining a plurality of energy consumption scale components according to all the temperature matching degrees and the target temperature, namely initializing an energy consumption scale component model, selecting one stage as a selected stage, taking the temperature matching degree corresponding to the selected stage as an initial parameter of the energy consumption scale component model, taking the target temperature as a constraint parameter of the energy consumption scale component model, obtaining the energy consumption scale component of the selected stage through the energy consumption scale component model, continuously determining the energy consumption scale components of the rest stages, wherein the energy consumption scale component model is a prediction model for establishing the energy consumption scale components by using a machine learning algorithm (such as a regression algorithm, a neural network and the like), the prediction model is, for example, an energy consumption scale component=a+a temperature matching degree corresponding to the selected stage+a target temperature×b, where a and B are weight coefficients, and a and B may be determined according to a large number of energy consumption scale components, and may be determined in other manners in other embodiments, which are not limited herein.
The method comprises the steps of carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropies, namely obtaining the distribution characteristics of the temperature and the humidity of the target object in different stages, dividing the temperature matching degree of the target object in different stages from the distribution characteristics through all the energy consumption cross entropies, wherein the energy consumption scale component is a parameter value reflecting the distribution degree of the energy-saving drying equipment on the power consumption of the target object in the stage, and is used for predicting the power consumption of the stage and further determining the temperature content of the stage.
In some embodiments, determining temperature hysteresis information for conditioning a target item from all energy consumption scale components and a preset drying time may be accomplished by:
Acquiring preset drying time;
Determining a plurality of hysteresis parameters of the temperature content of the target object according to all the energy consumption scale components;
And determining temperature hysteresis information of the adjusting target object according to all hysteresis adjusting amounts and the drying time.
In particular, the preset drying time can be obtained from a database of the energy-saving drying equipment, wherein the drying time represents the processing time of the target object in the energy-saving drying equipment and is used for analyzing the heating state of the target object, a plurality of hysteresis adjustment amounts of the temperature content in the target object are determined according to all the energy consumption scale components, namely, the method can be realized by obtaining the time interval between each phase from the database of the energy-saving drying equipment, selecting one adjacent phase as a selected adjacent phase, performing natural index operation on the time interval between the selected adjacent phases, taking the inverse of the value obtained by the natural index operation as a1 st value, subtracting the energy consumption scale component corresponding to the 1 st phase in the selected adjacent phase from the energy consumption scale component corresponding to the 2 nd phase in the selected adjacent phase, multiplying the obtained value by the 1 st value, continuously determining the hysteresis adjustment amount between the rest adjacent phases, wherein the hysteresis adjustment amounts between the rest adjacent phases represent the time delay adjustment amounts in the energy consumption conversion between the adjacent phases, and the target object are used for determining the corresponding value in the other methods, namely, the method can be realized by multiplying the hysteresis adjustment amounts between the target object and the target object, and the target object can be processed according to the other values, the description is not intended to be limiting.
The temperature hysteresis information in the application is information reflecting the temperature hysteresis degree of the energy-saving drying equipment on each stage, and is used for adjusting the power consumption fluctuation condition of each stage, so as to solve the power consumption fluctuation condition in the energy-saving drying equipment, and facilitate the energy-saving drying equipment to stably process the target object.
In step 104, environmental humidity data of the target object is obtained, and an energy consumption fluctuation domain when the energy-saving drying equipment carries out humidity adjustment on the target object is determined according to the environmental humidity data and the energy consumption distribution diagram.
In particular, all the humidities around the target object during the processing process are collected by the humidity sensor in the prior art, each temperature is taken as the ambient humidity, and the set of all the ambient humidities is taken as the ambient humidity data of the target object, wherein the ambient humidity data represents the set of the ambient humidities around the target object during the processing process, and is used for adjusting the humidity required by the target object, and in other embodiments, the humidity required by the target object can be determined in other manners, and the method is not limited herein.
In some embodiments, referring to fig. 4, the schematic flow chart of determining an energy consumption fluctuation domain according to some embodiments of the present application is shown, where determining, according to the environmental humidity data and the energy consumption distribution diagram, the energy consumption fluctuation domain when the energy-saving drying apparatus performs humidity adjustment on the target object may be implemented by using the following steps:
First, in step 1041, a humidity fluctuation cost of the environmental humidity data is determined;
Next, in step 1042, determining an energy consumption fluctuation cost according to the energy consumption profile;
Further, in step 1043, an energy consumption reachable domain is determined according to the environmental humidity data and all the historical energy consumption data;
Finally, in step 1044, an energy consumption fluctuation domain when the energy-saving drying device performs humidity adjustment on the target object is determined according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption reachable domain.
In particular, the humidity fluctuation cost of the environmental humidity data can be determined by dividing the standard deviation of all environmental humidities in the environmental humidity data by the average value of all environmental humidities in the environmental humidity data, taking the obtained value as the humidity fluctuation cost, wherein the humidity fluctuation cost represents the fluctuation degree cost of the humidity of the target object in the processing process and is used for analyzing the humidity of the target object in the processing process, and the energy consumption fluctuation cost can be determined according to the energy consumption distribution diagram by dividing the standard deviation of all energy consumption characteristic quantities in the energy consumption distribution diagram by the average value of all energy consumption characteristic quantities, wherein the obtained value is taken as the energy consumption fluctuation cost of the energy consumption distribution diagram, and the energy consumption fluctuation cost represents the fluctuation degree cost of the energy consumption of the target object in the processing process.
The method comprises the steps of subtracting the minimum humidity in the environmental humidity data from the maximum humidity in the environmental humidity data, performing natural index operation on a value obtained by subtracting the minimum humidity in the environmental humidity data, multiplying the reciprocal of the value obtained by the natural index operation by the minimum value in all the historical energy consumption data, taking the value obtained by multiplication as the lower limit value of the energy consumption reachable domain, multiplying the reciprocal of the value obtained by the natural index operation by the maximum value in all the historical energy consumption data, taking the value obtained by multiplication as the upper limit value of the energy consumption reachable domain, taking a section formed by the lower limit value and the upper limit value as the energy consumption reachable domain, wherein the energy consumption reachable domain represents the range of the energy consumption reachable of a target object in the processing process, analyzing the production process of the target object, determining the energy consumption fluctuation cost and the energy consumption reachable domain when the energy-saving drying equipment adjusts the target object according to the humidity fluctuation cost, namely, multiplying the reciprocal of the value obtained by the energy consumption reachable domain by the maximum value in all the historical energy consumption data, taking the upper limit value and the energy consumption reachable domain as the energy consumption reachable domain, and taking the energy consumption fluctuation cost as the energy consumption reachable domain as the energy consumption reachable range of the energy consumption reachable domain of the target object in the processing process, and further multiplying the energy consumption fluctuation cost of the energy consumption reachable domain and the energy consumption reachable domain of the energy consumption energy saving device.
The energy consumption fluctuation domain in the application reflects the fluctuation range of energy consumption when the energy-saving drying equipment carries out humidity processing on the target object, and is used for analyzing the fluctuation condition of energy consumption, so as to solve the fluctuation condition of power consumption of the energy-saving drying equipment and facilitate the energy-saving drying equipment to process the target object.
In step 105, determining the energy consumption confidence indexes of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and performing confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes.
In some embodiments, determining the energy consumption confidence index of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information can be achieved by adopting the following steps:
Determining the energy consumption net amount of the target object in each stage according to the energy consumption fluctuation domain;
Acquiring response time of the energy-saving drying equipment;
Determining a hysteresis margin of a target article according to the temperature hysteresis information and the response time;
And determining the energy consumption confidence index of the target object in each stage through all the energy consumption net amounts and the hysteresis margin.
In particular, the determination of the net energy consumption of the target object in each stage according to the energy consumption fluctuation domain can be realized by selecting one stage as the selected stage, subtracting the upper limit value of the energy consumption fluctuation domain from the average value of all the historical energy consumption in the historical energy consumption data corresponding to the selected stage, taking the subtracted value as the net energy consumption of the target object in the selected stage, continuously determining the net energy consumption of the target object in the rest stage, wherein the net energy consumption represents the parameter value of the using degree of the energy consumption completely acting on the target object in the stage, and is used for adjusting the humidity of the target object, acquiring the response time of the energy-saving drying equipment can be realized by acquiring the response time of the energy-saving drying equipment from the database of the energy-saving drying equipment, wherein the response time represents the time from the command sending to the command executing of the energy-saving drying equipment, and is used for adjusting the processing process of the energy-saving drying equipment, determining the hysteresis margin of the target object according to the temperature hysteresis information and the response time can be realized by dividing the temperature hysteresis information by the parameter value to the using the confidence coefficient to obtain the corresponding to the corresponding value of the temperature hysteresis information in the designated by the target object in the processing time, and the hysteresis value in the designated by the target object processing time lag in the initial process, and the hysteresis value can be realized by determining the hysteresis value in the target object hysteresis time has the required to reach the corresponding to the required energy consumption in the target object in the target processing time, and taking all the energy consumption net amounts as initialization parameters of an energy consumption confidence index model, taking a hysteresis margin as constraint parameters of the energy consumption confidence index model, and obtaining the energy consumption confidence index of the target object in each stage through the energy consumption confidence index model, wherein the energy consumption confidence index model is a detection model for establishing the energy consumption confidence index by using a machine learning algorithm (such as a regression algorithm, a neural network and the like), for example, the detection model comprises the energy consumption confidence index = all the energy consumption net amounts, C+ and hysteresis margin, D, wherein the C and D are weight coefficients, C and D can be determined according to a large number of energy consumption confidence indexes, and other methods can be adopted for determining the energy consumption confidence index in other embodiments, and the energy consumption confidence index is not limited.
The energy consumption confidence index in the application is a parameter value reflecting the confidence degree of the energy consumption when the target object is processed in the stage, and is used for determining the energy consumption in the stage, so that the energy consumption of the energy-saving drying equipment when the target object is processed is reasonably distributed, and the energy consumption of the energy-saving drying equipment when the target object is processed is reduced.
In some embodiments, the confidence adjustment of the temperature and humidity of the target object according to all the energy consumption confidence indexes can be achieved by the following steps:
selecting one stage as a selected stage, and determining the adjustment energy consumption of the temperature and the adjustment energy consumption of the humidity of the selected stage according to the energy consumption confidence index corresponding to the selected stage;
Adjusting the temperature of the target object at a selected stage through adjusting the energy consumption of the temperature;
Adjusting the humidity of the target object in a selected stage through the adjustment energy consumption of the humidity;
The temperature and humidity of the target item in the remaining phase is continuously determined.
In particular, the adjustment energy consumption of the temperature of the selected stage and the adjustment energy consumption of the humidity can be determined according to the energy consumption confidence index corresponding to the selected stage by acquiring the preset energy consumption of the temperature of the selected stage and the preset energy consumption of the humidity from a database of the energy-saving drying equipment, wherein the preset energy consumption of the temperature represents the energy consumption required by the temperature of the target object during processing of the target object in the selected stage, the preset energy consumption of the humidity represents the energy consumption required by the humidity of the target object during processing of the target object in the stage, multiplying the energy consumption confidence index corresponding to the selected stage by the preset energy consumption of the temperature, taking the value obtained by multiplication as the value of the adjustment energy consumption of the temperature of the selected stage, taking the value obtained by multiplication as the value of the adjustment energy consumption of the humidity of the selected stage, wherein the adjustment energy consumption of the temperature represents the energy consumption required by the target object during processing of the target object, the temperature is used for determining the temperature of the target object during the selected stage, the energy consumption of the target object during processing of the target object is required by the humidity in the selected stage, the energy consumption of the target object is used for determining the temperature of the target object during processing of the target object in a reasonable mode by combining the prior art, the energy consumption equation is used for determining the energy consumption of the target object during processing of the target object during the target object in the selected stage and the temperature in the selected stage, and the temperature is reasonably determining the target object at the temperature through the temperature in the selected stage, other ways of determining may be used in other embodiments, and are not limited in this regard.
In addition, in some embodiments, the present application provides an energy-saving dryer-based temperature and humidity control system, referring to fig. 5, which is a schematic diagram of exemplary hardware and/or software of an energy-saving dryer-based temperature and humidity control system according to some embodiments of the present application, the energy-saving dryer-based temperature and humidity control system 400 includes an acquisition module 401, a processing module 402, and an execution module 403, which respectively describe:
the acquisition module 401 is mainly used for acquiring historical energy consumption data of the target object in each stage of the energy-saving drying equipment in the application;
The processing module 402 is configured to extract an energy consumption distribution map of the target object from all the historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage in the present application;
It should be noted that, in the present application, the processing module 402 is further configured to determine, based on the environmental temperature data of the target object and the energy consumption distribution diagram, an energy consumption cross entropy when the temperature of the target object is switched at each stage, and segment-match the temperatures of the target object at different stages according to all the energy consumption cross entropies, so as to obtain a plurality of energy consumption scale components, and determine, by using all the energy consumption scale components and a preset drying time, temperature hysteresis information of the target object to be adjusted;
In addition, it should be noted that, in the present application, the processing module 402 is further configured to obtain environmental humidity data of the target object, and determine an energy consumption fluctuation domain when the energy-saving drying device performs humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram;
the execution module 403 is mainly configured to determine an energy consumption confidence index of the target object in each stage according to the energy consumption fluctuation domain and the temperature hysteresis information, and perform confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes.
In addition, the application also provides computer equipment, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the temperature and humidity control method based on the energy-saving dryer.
In some embodiments, reference is made to fig. 6, which is a schematic structural diagram of a computer device implementing an energy-saving dryer-based temperature and humidity control method according to some embodiments of the application. The temperature and humidity control method based on the energy-saving dryer in the above embodiment may be implemented by a computer device shown in fig. 6, where the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.
The processor 501 may be a general purpose central processing unit (central processing unit, CPU) or an Application Specific Integrated Circuit (ASIC).
Communication bus 502 may be used to transfer information between the above-described components.
The memory 503 may be, but is not limited to, a Read Only Memory (ROM) or other type of static storage device, random access memory (random access memory, RAM) or other type of dynamic storage device that can store static information and instructions, or an electrically erasable programmable read only memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY, EEPROM), a read only optical disk (compact disc read only Memory, CD ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 503 may be separate and coupled to the processor 501 via a communication bus 502. Memory 503 may also be integrated with processor 501.
Wherein the memory 503 is for storing program codes for executing the inventive arrangements and is controlled for execution by the processor 501. The processor 501 is configured to execute program code stored in the memory 503. One or more software modules may be included in the program code. The methods used in the above embodiments may be implemented by one or more software modules in program code in the processor 501 and in the memory 503.
Communication interface 504, using any transceiver-like device, is used to communicate with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In a specific implementation, the computer device may be a desktop, a laptop, a web server, a personal computer (PDA), a mobile handset, a tablet, a wireless terminal device, a communication device, or an embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the temperature and humidity control method based on the energy-saving dryer when being executed by a processor.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. The temperature and humidity control method based on the energy-saving dryer is characterized by comprising the following steps of:
Acquiring historical energy consumption data of a target object in each stage of energy-saving drying equipment;
extracting an energy consumption distribution map of the target object from all historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target object in each stage;
Determining energy consumption cross entropy when temperature switching is carried out on the target object in each stage based on the environmental temperature data of the target object and the energy consumption distribution diagram, carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropy, further obtaining a plurality of energy consumption scale components, and determining temperature lag information of the target object to be regulated according to all the energy consumption scale components and preset drying time;
acquiring environmental humidity data of a target object, and determining an energy consumption fluctuation domain of the energy-saving drying equipment when the energy-saving drying equipment carries out humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram;
Determining the energy consumption confidence indexes of the target object in each stage according to the energy consumption fluctuation domain and the temperature hysteresis information, and performing confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes;
the determining the energy consumption cross entropy when the temperature of the target object is switched in each stage based on the environmental temperature data of the target object and the energy consumption distribution diagram specifically comprises the following steps:
acquiring environmental temperature data of a target object;
determining the energy consumption difference of each stage according to the energy consumption distribution map;
selecting one stage as a selected stage, and determining a plurality of energy consumption duty ratios according to historical energy consumption data corresponding to the selected stage and energy consumption difference amounts corresponding to the selected stage;
Determining energy consumption cross entropy when temperature switching is carried out on the target object in a selected stage according to all the energy consumption duty ratios and the environmental temperature data;
continuously determining the energy consumption cross entropy when the temperature of the target object is switched in the remaining stage;
The energy consumption fluctuation domain determining the energy-saving drying equipment to perform humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution map specifically comprises the following steps:
Determining humidity fluctuation cost of the environmental humidity data;
determining energy consumption fluctuation cost according to the energy consumption distribution map;
Determining an energy consumption reachable domain according to the environmental humidity data and all the historical energy consumption data;
determining an energy consumption fluctuation domain when the energy-saving drying equipment adjusts the temperature and humidity of the target object according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption reachable domain;
Determining the energy consumption confidence index of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information specifically comprises the following steps:
Determining the energy consumption net amount of the target object in each stage according to the energy consumption fluctuation domain;
Acquiring response time of the energy-saving drying equipment;
Determining a hysteresis margin of a target article according to the temperature hysteresis information and the response time;
and determining the energy consumption confidence index of the temperature and humidity of the target object in each stage through all the energy consumption net amounts and the hysteresis margin.
2. The method of claim 1, wherein extracting the energy consumption profile of the target item from all historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target item at each stage comprises:
Acquiring the distribution characteristics of the temperature and the humidity of the target object in each stage;
determining the energy consumption characteristic quantity of the target object in each stage according to all the historical energy consumption data;
and determining an energy consumption distribution map of the target object according to the distribution characteristics and all the energy consumption characteristic quantities.
3. The method of claim 1, wherein the step of segment matching the temperatures of the target object at different stages according to all energy consumption cross entropy, and further obtaining a plurality of energy consumption scale components comprises:
Acquiring the distribution characteristics of temperature and humidity of a target object at different stages;
Dividing the temperature matching degree of the target object in different stages from the distribution characteristics through all energy consumption cross entropy;
acquiring a preset target temperature of a target object;
and determining a plurality of energy consumption scale components according to all the temperature matching degrees and the target temperature.
4. The method of claim 1, wherein determining temperature hysteresis information for the conditioning target item from all energy consumption scale components and a preset drying time comprises:
Acquiring preset drying time;
Determining a plurality of hysteresis parameters of the temperature content of the target object according to all the energy consumption scale components;
And determining temperature hysteresis information of the adjusting target object according to all hysteresis adjusting amounts and the drying time.
5. An energy-saving dryer-based temperature and humidity control system for performing temperature and humidity control by adopting the method of any one of claims 1 to 4, characterized in that the energy-saving dryer-based temperature and humidity control system comprises:
the acquisition module is used for acquiring historical energy consumption data of the target object in each stage of the energy-saving drying equipment;
the processing module is used for extracting an energy consumption distribution diagram of the target object from all historical energy consumption data based on the distribution characteristics of the temperature and the humidity of the target object in each stage;
The processing module is further used for determining energy consumption cross entropy when the temperature of the target object is switched in each stage based on the environmental temperature data of the target object and the energy consumption distribution diagram, carrying out sectional matching on the temperature of the target object in different stages according to all the energy consumption cross entropy, further obtaining a plurality of energy consumption scale components, and determining temperature hysteresis information of the target object to be adjusted according to all the energy consumption scale components and preset drying time;
the processing module is also used for acquiring the environmental humidity data of the target object, and determining an energy consumption fluctuation domain when the energy-saving drying equipment carries out humidity adjustment on the target object according to the environmental humidity data and the energy consumption distribution diagram;
And the execution module is used for determining the energy consumption confidence indexes of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and carrying out confidence adjustment on the temperature and the humidity of the target object according to all the energy consumption confidence indexes.
6. A computer device comprising a memory storing code and a processor configured to obtain the code and to perform the energy-efficient dryer-based temperature and humidity control method of any one of claims 1 to 4.
7. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the energy-saving dryer-based temperature and humidity control method according to any one of claims 1 to 4.
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