A temperature and humidity control method and system based on energy-saving dryer

Abstract

The present application provides a temperature and humidity control method and system based on an energy-saving dryer, which determines the energy consumption distribution diagram of the target item through all historical energy consumption data, and determines the energy consumption cross entropy of each stage according to the energy consumption distribution diagram; determines multiple energy consumption scale components according to all energy consumption cross entropies, and determines the temperature hysteresis information of the target item according to all energy consumption scale components and the preset drying time; determines the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target item according to the environmental humidity data and all historical energy consumption data; determines the energy consumption confidence index of the target item in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and performs confidence adjustment on the temperature and humidity of the target item according to all energy consumption confidence indexes. The above scheme can weaken the influence of energy consumption fluctuation on the uneven drying of items in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.

Description

Technical Field

[0001] The present application relates to the technical field of temperature and humidity control, and more specifically, to a temperature and humidity control method and system based on an energy-saving dryer. Background Art

[0002] Temperature and humidity control refers to the process of maintaining or achieving the desired climatic conditions by adjusting the temperature and humidity in a specific environment. Its main purpose is to ensure that the temperature and humidity of the environment are within the set range to meet the needs of human comfort, process requirements or equipment operation.

[0003] Temperature and humidity control based on energy-saving dryers refers to a technical means of minimizing energy consumption and maximizing drying effects by optimizing temperature and humidity control strategies during the drying process. This method is mainly used in industrial drying processes, such as the drying of wood veneers, to ensure product quality while reducing energy consumption. In the temperature and humidity control process of existing energy-saving dryers, the energy consumption of the energy-saving dryers is regulated by real-time monitoring and optimization of the regulation of energy-saving dryers. Although energy-saving dryers are energy-saving as a whole, when the load changes or environmental conditions fluctuate drastically, the control system will overreact or lag, causing the energy-saving dryer to experience large energy consumption fluctuations, which will lead to uneven drying of items by the energy-saving dryer. Therefore, how to weaken the impact of energy consumption fluctuations on uneven drying of items in energy-saving dryers, thereby improving the drying effect of energy-saving dryers, has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a temperature and humidity control method and system based on an energy-saving dryer, which can weaken the influence of energy consumption fluctuations on uneven drying of items in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.

[0005] In a first aspect, the present application provides a temperature and humidity control method based on an energy-saving dryer, comprising the following steps:

[0006] Obtain historical energy consumption data of target items at each stage in energy-saving drying equipment;

[0007] Extract the energy consumption distribution map 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;

[0008] Based on the ambient temperature data of the target object and the energy consumption distribution diagram, the energy consumption cross entropy when the temperature of the target object is switched at each stage is determined, and the temperature of the target object at different stages is segmentedly matched according to all the energy consumption cross entropies, so as to obtain multiple energy consumption scale components, and the temperature hysteresis information of the target object is adjusted according to all the energy consumption scale components and the preset drying time;

[0009] Acquire environmental humidity data of the target object, and determine the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram;

[0010] The energy consumption confidence index of the target object in each stage is determined by the energy consumption fluctuation domain and the temperature hysteresis information, and the temperature and humidity of the target object are adjusted according to all the energy consumption confidence indexes.

[0011] In some embodiments, extracting the energy consumption distribution graph 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 specifically includes:

[0012] Obtain the distribution characteristics of temperature and humidity of the target object in each stage;

[0013] Determine the energy consumption characteristics of the target item at each stage based on all historical energy consumption data;

[0014] An energy consumption distribution diagram of the target object is determined according to the distribution characteristics and all energy consumption characteristic quantities.

[0015] In some embodiments, determining the energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram specifically includes:

[0016] Obtain the ambient temperature data of the target object;

[0017] Determining the energy consumption difference in each stage according to the energy consumption distribution diagram;

[0018] A stage is selected as a selected stage, and multiple energy consumption proportions are determined according to the historical energy consumption data corresponding to the selected stage and the energy consumption difference amount corresponding to the selected stage;

[0019] Determine the energy consumption cross entropy when switching the temperature of the target object in the selected stage according to all energy consumption proportions and the ambient temperature data;

[0020] Continue to determine the energy consumption cross entropy when switching the temperature of the target object in the remaining stages.

[0021] In some embodiments, the temperature of the target object at different stages is segmentedly matched according to all energy consumption cross entropies, thereby obtaining multiple energy consumption scale components, specifically including:

[0022] Obtain the distribution characteristics of temperature and humidity of the target object at different stages;

[0023] The temperature matching degree of the target object at different stages is divided from the distribution characteristics through all energy consumption cross entropies;

[0024] Get the preset target temperature of the target object;

[0025] A plurality of energy consumption metric components are determined according to all the temperature matching degrees and the target temperature.

[0026] In some embodiments, determining the temperature hysteresis information of the target object based on all the energy consumption scale components and the preset drying time specifically includes:

[0027] Get the preset drying time;

[0028] Determining multiple hysteresis adjustment amounts of temperature content in the target item based on all energy consumption scale components;

[0029] The temperature hysteresis information of the adjustment target object is determined according to all the hysteresis adjustment amounts and the drying time.

[0030] In some embodiments, determining the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram specifically includes:

[0031] Determining a humidity fluctuation cost of the ambient humidity data;

[0032] Determining the energy consumption fluctuation cost according to the energy consumption distribution diagram;

[0033] Determine the energy consumption reachable domain based on the ambient humidity data and all historical energy consumption data;

[0034] The energy consumption fluctuation domain when the energy-saving drying equipment adjusts the temperature and humidity of the target object is determined according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption reachable domain.

[0035] In some embodiments, determining the energy consumption confidence index of the target object in each stage by using the energy consumption fluctuation domain and the temperature hysteresis information specifically includes:

[0036] Determining the net energy consumption of the target item at each stage according to the energy consumption fluctuation domain;

[0037] Get the response time of energy-saving drying equipment;

[0038] determining a hysteresis margin of the target object according to the temperature hysteresis information and the response time;

[0039] The energy consumption confidence index of the temperature and humidity of the target object in each stage is determined by all the net energy consumption and the hysteresis margin.

[0040] In a second aspect, the present application provides a temperature and humidity control system based on an energy-saving dryer, comprising:

[0041] An acquisition module is used to acquire the historical energy consumption data of the target item at each stage in the energy-saving drying equipment;

[0042] A processing module, used to extract 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;

[0043] The processing module is further used to determine the energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram, and to perform segmented matching on the temperature of the target object at different stages according to all the energy consumption cross entropies, thereby obtaining multiple energy consumption scale components, and to determine the temperature hysteresis information of the target object according to all the energy consumption scale components and the preset drying time;

[0044] The processing module is further used to obtain environmental humidity data of the target object, and determine the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram;

[0045] An execution module is used to determine the energy consumption confidence index of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and to perform confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes.

[0046] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned temperature and humidity control method based on the energy-saving dryer.

[0047] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the temperature and humidity control method based on the energy-saving dryer is implemented.

[0048] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0049] In the temperature and humidity control method and system based on the energy-saving dryer provided by the present application, firstly, the historical energy consumption data of the target object in each stage in the energy-saving drying equipment is obtained; based on the distribution characteristics of the temperature and humidity of the target object in each stage, the energy consumption distribution map of the target object is extracted from all the historical energy consumption data; based on the ambient temperature data of the target object and the energy consumption distribution map, the energy consumption cross entropy when the temperature of the target object is switched in each stage is determined, and the temperature of the target object in different stages is segmentedly matched according to all the energy consumption cross entropies, so as to obtain multiple energy consumption scale components, and the temperature hysteresis information of the target object is determined by all the energy consumption scale components and the preset drying time; the ambient humidity data of the target object is obtained, and the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target object is determined according to the ambient humidity data and the energy consumption distribution map; the energy consumption confidence index of the target object in each stage is determined by the energy consumption fluctuation domain and the temperature hysteresis information, and the temperature and humidity of the target object are confidence adjusted according to all the energy consumption confidence indexes.

[0050] It can be seen that in the temperature and humidity control process of the energy-saving dryer of the present application, firstly, the energy consumption status of the corresponding stage is analyzed by combining the historical energy consumption data of each stage with the distribution characteristics of temperature and humidity in each stage, and the degree of distribution of power consumption of the energy-saving drying equipment to the target item in each stage is determined, and then the energy consumption scale components of each stage are obtained, which solves the distribution of energy consumption in each stage, and determines the degree of temperature lag of the energy-saving drying equipment to each stage through all the energy consumption scale components, and then obtains the temperature lag information, which is used to adjust the power consumption fluctuation of each stage, thereby solving the power consumption fluctuation in the energy-saving drying equipment; secondly, the environmental humidity data is used to adjust the power consumption fluctuation of each stage Analyze historical energy consumption data to determine the fluctuation range of energy consumption when the energy-saving drying equipment processes the target item, and then obtain the energy consumption fluctuation domain. The energy consumption fluctuation domain is used to predict the fluctuation of energy consumption when the energy-saving drying equipment processes the target item, so as to solve the fluctuation of power consumption in the energy-saving drying equipment; and then determine the energy consumption confidence index of the temperature and humidity of the target item in each stage through the energy consumption fluctuation domain and the temperature lag information. The energy consumption confidence index facilitates the reasonable allocation of power consumption of the energy-saving drying equipment when processing the target item, and reduces the power consumption of the energy-saving drying equipment when processing the target item; finally, the temperature and humidity of the target item are adjusted according to all the energy consumption confidence indexes. The above scheme can weaken the influence of energy consumption fluctuations on the uneven drying of items in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is an exemplary flow chart of a temperature and humidity control method based on an energy-saving dryer according to some embodiments of the present application;

[0052] Figure 2 It is a partial schematic diagram of the first stage and the second stage in the energy consumption distribution diagram shown in some embodiments of the present application;

[0053] Figure 3 is an exemplary flow chart of determining energy consumption cross entropy according to some embodiments of the present application;

[0054] Figure 4 is an exemplary flow chart of determining an energy consumption fluctuation domain according to some embodiments of the present application;

[0055] Figure 5 is a schematic diagram of exemplary hardware and / or software of a temperature and humidity control system based on an energy-saving dryer according to some embodiments of the present application;

[0056] Figure 6 It is a structural schematic 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

[0057] The core of this application is to obtain the historical energy consumption data of the target item in each stage in the energy-saving drying equipment; extract the energy consumption distribution map of the target item from all the historical energy consumption data based on the distribution characteristics of the temperature and humidity of the target item in each stage; determine the energy consumption cross entropy when the temperature of the target item is switched at each stage based on the ambient temperature data of the target item and the energy consumption distribution map, and match the temperature of the target item in different stages in sections according to all the energy consumption cross entropies, thereby obtaining multiple energy consumption scale components, and determining the temperature hysteresis information of the target item by all the energy consumption scale components and the preset drying time; obtain the ambient humidity data of the target item, and determine the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target item according to the ambient humidity data and the energy consumption distribution map; determine the energy consumption confidence index of the target item in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and perform confidence adjustment on the temperature and humidity of the target item according to all the energy consumption confidence indexes. The above scheme can weaken the influence of energy consumption fluctuation on the uneven drying of items in the energy-saving dryer, thereby improving the drying effect of the energy-saving dryer.

[0058] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 , which is an exemplary flow chart of a temperature and humidity control method based on an energy-saving dryer according to some embodiments of the present application. The temperature and humidity control method 100 based on an energy-saving dryer mainly includes the following steps:

[0059] In step 101, historical energy consumption data of a target item at each stage in an energy-saving drying device is obtained.

[0060] In specific implementation, the target object may be a wood veneer, etc. After the energy-saving drying equipment is started, the historical energy consumption data of the target object (such as the wood veneer) in each stage of the energy-saving drying equipment is obtained from the database of the energy-saving drying equipment, wherein the energy-saving drying equipment includes a pretreatment stage, a drying stage (i.e., a heating stage, a constant speed drying stage, a speed reduction drying stage), a cooling stage, and a post-treatment stage, and the historical energy consumption data represents the collection of all historical energy consumptions.

[0061] It should be noted that the historical energy consumption in the historical energy consumption data in the present application represents the energy consumption required for processing the target object in the corresponding stage in the past; the energy consumption consumed in processing the target object in each stage in the past is collected by an energy consumption monitor, and all energy consumption is stored in the database of the energy-saving drying equipment. In other embodiments, other methods can also be used for collection, which will not be repeated here.

[0062] In step 102, an energy consumption distribution graph of the target object is extracted from all historical energy consumption data based on the distribution characteristics of temperature and humidity of the target object in each stage.

[0063] In some embodiments, the energy consumption distribution graph of the target object can be extracted from all historical energy consumption data based on the distribution characteristics of temperature and humidity of the target object in each stage by the following steps:

[0064] Obtain the distribution characteristics of temperature and humidity of the target object in each stage;

[0065] Determine the energy consumption characteristics of the target item at each stage based on all historical energy consumption data;

[0066] An energy consumption distribution diagram of the target object is determined according to the distribution characteristics and all energy consumption characteristic quantities.

[0067] In specific implementation, obtaining the distribution characteristics of temperature and humidity of the target object in each stage can be achieved in the following manner, namely: obtaining the humidity and temperature required by the target object in each stage from the database of the energy-saving drying equipment, and taking the set of the humidity and temperature required in each stage as the distribution characteristics of temperature and humidity of the target object in the corresponding stage, wherein the distribution characteristics of temperature and humidity represent the distribution characteristics of the temperature and humidity required by the target object in the corresponding stage, and are used to analyze 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 can be achieved in the following manner, namely: selecting Take a stage as the selected stage, divide the maximum historical energy consumption in the historical energy consumption data corresponding to the selected stage by the minimum historical energy consumption, perform a logarithmic operation with a base of 2 on the value obtained by the division, multiply the value obtained by the logarithmic operation by the average value of all historical energy consumptions in the historical energy consumption data, and use the multiplied value as the energy consumption characteristic quantity of the target item in the selected stage, and continue to determine the energy consumption characteristic quantity of the target item in the remaining stages, wherein the energy consumption characteristic quantity represents the parameter value of the energy consumption required for the target item in the corresponding stage, and is used to analyze the energy consumption of the target item in the production process; in other embodiments, other methods can also be used for determination, which are not limited here.

[0068] In specific implementation, the energy consumption distribution diagram of the target item is determined according to the distribution characteristics and all the energy consumption characteristic quantities, which can be implemented in the following manner, namely: an adjacent stage is selected as the selected adjacent stage, the required humidity corresponding to the second stage of the selected adjacent stage in the distribution characteristics is subtracted from the required humidity corresponding to the first stage of the selected adjacent stage in the distribution characteristics, and the value obtained by subtraction is used as the humidity difference value of the selected adjacent stage, wherein the humidity difference value represents the parameter value of the difference degree of humidity between adjacent stages, the required temperature corresponding to the second stage of the selected adjacent stage in the distribution characteristics is subtracted from the required temperature corresponding to the first stage of the selected adjacent stage in the distribution characteristics, and the value obtained by subtraction is used as the temperature difference value of the selected adjacent stage, wherein the temperature difference value represents the parameter value of the difference degree of temperature between adjacent stages, and the humidity difference value and the temperature difference value of the remaining adjacent stages are continued to be determined, and the humidity difference value and the temperature difference value between each adjacent stage are respectively used as the connecting lines between the corresponding adjacent stages, and each energy consumption characteristic quantity is connected according to the connecting lines in the order of the corresponding stage in the energy-saving drying equipment, and the diagram obtained after the connection is used as the energy consumption distribution diagram, for example, referring to Figure 2, this figure is a partial schematic diagram of the first stage and the second stage in the energy consumption distribution diagram shown in some embodiments of the present application, wherein 1 and 4 correspond to the first stage and the second stage respectively, A1 and A2 correspond to the energy consumption characteristic quantity of the first stage and the energy consumption characteristic quantity of the second stage respectively, 2 and 3 correspond to the connecting lines between adjacent stages respectively, B1 and C1 correspond to the humidity difference value and the temperature difference value between adjacent stages respectively, and other methods can also be used to determine in other embodiments, which is not limited here.

[0069] It should be noted that the energy consumption distribution map in this application is a distribution map that reflects the relationship between historical energy consumption and temperature and humidity. It is used to analyze the state of the target object during the processing process, and then reasonably allocate the power consumption of the target object at each stage.

[0070] In step 103, the energy consumption cross entropy when the temperature of the target object is switched at each stage is determined based on the ambient temperature data of the target object and the energy consumption distribution diagram, and the temperature of the target object at different stages is segmentedly matched according to all the energy consumption cross entropies to obtain multiple energy consumption scale components, and the temperature hysteresis information of the target object is determined by all the energy consumption scale components and the preset drying time.

[0071] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the energy consumption cross entropy in some embodiments of the present application. In this embodiment, the energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram can be determined by the following steps:

[0072] First, in step 1031, the ambient temperature data of the target object is obtained;

[0073] Next, in step 1032, the energy consumption difference of each stage is determined according to the energy consumption distribution diagram;

[0074] Furthermore, in step 1033, a stage is selected as a selected stage, and a plurality of energy consumption proportions are determined according to the historical energy consumption data corresponding to the selected stage and the energy consumption difference amount corresponding to the selected stage;

[0075] Thus, in step 1034, the energy consumption cross entropy when the temperature of the target object is switched in the selected stage is determined according to all energy consumption proportions and the ambient temperature data;

[0076] Finally, in step 1035, the energy consumption cross entropy when the temperature of the target object is switched in the remaining stages is continuously determined.

[0077] In specific implementation, all temperatures around the target object during processing are collected through temperature sensors in the prior art, and each temperature is used as the ambient temperature. The collection of all ambient temperatures is used as ambient temperature data of the target object, wherein the ambient temperature data represents the collection of ambient temperatures of the target object during processing, and is used to adjust the temperature required for the target object. In other embodiments, other methods may be used to determine the temperature, which is not limited here.

[0078] In specific implementation, the energy consumption difference of each stage can be determined according to the energy consumption distribution diagram in the following manner, namely: add the standard deviation of all humidity difference values ​​in the energy consumption distribution diagram and the standard deviation of all temperature difference values ​​in the energy consumption distribution diagram, perform natural exponential operation on the added value, and use the inverse of the value obtained by the natural exponential operation as the energy consumption fluctuation coefficient, wherein the energy consumption fluctuation coefficient represents a parameter of the degree of energy consumption fluctuation caused by temperature and humidity changes between various stages, and is used to analyze the energy consumption of each stage, multiply the energy consumption fluctuation coefficient with the energy consumption characteristic quantity corresponding to each stage in the energy consumption distribution diagram, and use the value obtained by each multiplication as the energy consumption difference of the corresponding stage, wherein the energy consumption difference represents the parameter value of the degree of difference between the design energy consumption when processing the target item in the corresponding stage; according to the historical energy consumption data corresponding to the selected stage and the energy consumption characteristic quantity corresponding to the selected stage, The energy consumption difference can be used to determine multiple energy consumption ratios in the following manner, namely: select one historical energy consumption in the historical energy consumption data as the selected historical energy consumption, divide the selected historical energy consumption by the energy consumption difference corresponding to the selected stage, and use the value obtained by division as the energy consumption ratio of the selected historical energy consumption, and continue to determine the energy consumption ratio of the remaining historical energy consumption, wherein the energy consumption ratio represents a parameter value of the proportion of energy consumption of the historical energy consumption in the entire production process of the stage; determine the energy consumption cross entropy when the temperature of the target item is switched in the selected stage according to all energy consumption ratios and the ambient temperature data, which can be implemented in the following manner, namely: multiply the entropy of all energy consumption ratios by the entropy of all ambient temperatures in the ambient temperature data, and use the multiplied value as the energy consumption cross entropy when the temperature of the target item is switched in the selected stage. In other embodiments, other methods can also be used for determination, which are not limited here.

[0079] It should be noted that the energy consumption cross entropy in the present application is a parameter value that reflects the degree of crossover in power consumption when the temperature of the target object is switched (i.e., the change in power consumption when the target object is processed), which is used to judge the conversion between power consumption and facilitate the analysis of the temperature of the target object at this stage.

[0080] In some embodiments, segmented matching of the temperature of the target object at different stages is performed according to all energy consumption cross entropies, and then multiple energy consumption scale components are obtained, which can be achieved by the following steps:

[0081] Obtain the distribution characteristics of temperature and humidity of the target object at different stages;

[0082] The temperature matching degree of the target object at different stages is divided from the distribution characteristics through all energy consumption cross entropies;

[0083] Get the preset target temperature of the target object;

[0084] A plurality of energy consumption metric components are determined according to all the temperature matching degrees and the target temperature.

[0085] In specific implementation, the temperature matching degree of the target object in different stages can be divided from the distribution characteristics through all energy consumption cross entropies, which can be implemented in the following manner, namely: select a stage as the selected stage, subtract the energy consumption cross entropy corresponding to the selected stage from the temperature corresponding to the selected stage in the distribution characteristics, divide the absolute value of the subtracted value by the temperature corresponding to the selected stage, and use the divided value as the temperature matching degree of the selected stage, and continue to determine the temperature matching degree of the remaining stages, wherein the temperature matching degree represents the parameter value of the degree of matching between the temperature in the target object and the set temperature in the stage, which is used to analyze the temperature condition of the target object; obtaining the preset target temperature of the target object can be implemented in the following manner, namely: the preset target temperature of the target object can be obtained from the database corresponding to the target object, wherein the target temperature represents the temperature that the target object needs to reach after being dried by the energy-saving drying equipment; according to The determination of multiple energy consumption scale components by all temperature matching degrees and the target temperature can be implemented in the following manner, namely: initializing an energy consumption scale component model, selecting a stage as the selected stage, using the temperature matching degree corresponding to the selected stage as the initial parameter of the energy consumption scale component model, using the target temperature as the 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, and continuing to determine the energy consumption scale components of the remaining stages, wherein the energy consumption scale component model is a prediction model of the energy consumption scale component established by a machine learning algorithm (such as a regression algorithm, a neural network, etc.), and the prediction model is, for example: energy consumption scale component = temperature matching degree corresponding to the selected stage * A + target temperature * B, wherein A and B are weight coefficients, A and B can be determined based on a large number of energy consumption scale components, and can also be determined in other ways in other embodiments, which are not limited here.

[0086] It should be noted that in the present application, the temperature of the target object at different stages is segmentedly matched according to all the energy consumption cross entropies, that is: the distribution characteristics of the temperature and humidity of the target object at different stages are obtained, and the temperature matching degree of the target object at different stages is divided from the distribution characteristics through all the energy consumption cross entropies; the energy consumption scale component is a parameter value that reflects the degree of distribution of the power consumption of the energy-saving drying equipment to the target object at this stage, which is used to predict the power consumption of this stage, and then determine the temperature content of this stage.

[0087] In some embodiments, determining the temperature hysteresis information of the target object to be regulated based on all the energy consumption scale components and the preset drying time can be implemented by the following steps:

[0088] Get the preset drying time;

[0089] Determining multiple hysteresis adjustment amounts of temperature content in the target item based on all energy consumption scale components;

[0090] The temperature hysteresis information of the adjustment target object is determined according to all the hysteresis adjustment amounts and the drying time.

[0091] In specific implementation, obtaining the preset drying time can be achieved in the following manner, namely: the preset drying time can be obtained from the database of the energy-saving drying equipment, wherein the drying time represents the time for the target object to be processed in the energy-saving drying equipment, and is used to analyze the heating state of the target object; determining multiple hysteresis adjustment amounts of the temperature content in the target object according to all energy consumption scale components can be achieved in the following manner, namely: obtaining the time interval between each stage from the database of the energy-saving drying equipment, selecting an adjacent stage as the selected adjacent stage, performing a natural exponential operation on the time interval between the selected adjacent stages, taking the reciprocal of the value obtained by the natural exponential operation as the first value, and subtracting the energy consumption scale component corresponding to the first stage in the selected adjacent stage from the energy consumption scale component corresponding to the second stage in the selected adjacent stage. The energy consumption scale component of the energy consumption scale is obtained by multiplying the value obtained by subtraction with the first value, and the value obtained by the multiplication is used as the hysteresis adjustment amount between the selected adjacent stages, and the hysteresis adjustment amount between the remaining adjacent stages is continued to be determined, wherein the hysteresis adjustment amount represents the parameter value of the adjustment degree of the delay in the energy consumption conversion process between adjacent stages, and is used to adjust the energy consumption of the target object at each stage during the processing; determining the temperature hysteresis information of the target object according to all the hysteresis adjustment amounts and the drying time can be implemented in the following manner, namely: performing a logarithmic operation on the drying time with a base of 2, multiplying the value obtained by the logarithmic operation with the average value of all the hysteresis adjustment amounts, and using the multiplied value as the temperature hysteresis information of the target object. In other embodiments, other methods can also be used for determination, which are not limited here.

[0092] It should be noted that the temperature hysteresis information in the present application is information reflecting the degree of temperature hysteresis of the energy-saving drying equipment at each stage, which is used to adjust the power consumption fluctuations at each stage, thereby solving the power consumption fluctuations in the energy-saving drying equipment and facilitating the energy-saving drying equipment to stably process the target items.

[0093] In step 104, the environmental humidity data of the target object is obtained, and the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object is determined according to the environmental humidity data and the energy consumption distribution diagram.

[0094] In the specific implementation, all humidity around the target object during the processing is collected through the humidity sensor in the prior art, and each temperature is used as the ambient humidity, and the collection of all ambient humidity is used as the ambient humidity data of the target object, wherein the ambient humidity data represents the collection of ambient humidity of the target object during the processing, and is used to adjust the humidity required for the target object. In other embodiments, other methods can also be used to determine, which is not limited here.

[0095] In some embodiments, reference Figure 4 As shown, this figure is a schematic diagram of the process of determining the energy consumption fluctuation domain in some embodiments of the present application. In this embodiment, the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram can be determined by the following steps:

[0096] First, in step 1041, the humidity fluctuation cost of the environmental humidity data is determined;

[0097] Secondly, in step 1042, the energy consumption fluctuation cost is determined according to the energy consumption distribution diagram;

[0098] Furthermore, in step 1043, the energy consumption reachable domain is determined based on the environmental humidity data and all historical energy consumption data;

[0099] Finally, in step 1044, the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target article is determined according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption reachable domain.

[0100] In specific implementation, the humidity fluctuation cost of the ambient humidity data can be determined in the following manner, namely: dividing the standard deviation of all ambient humidity in the ambient humidity data by the average value of all ambient humidity in the ambient humidity data, and using the value obtained by division as the humidity fluctuation cost, wherein the humidity fluctuation cost represents the cost of the degree of humidity fluctuation of the target item during the processing, and is used to analyze the humidity of the target item during the processing; determining the energy consumption fluctuation cost according to the energy consumption distribution diagram can be achieved in the following manner, namely: 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, and using the value obtained by division as the energy consumption fluctuation cost of the energy consumption distribution diagram, wherein the energy consumption fluctuation cost represents the cost of the degree of energy consumption fluctuation of the target item during the processing; in other embodiments, other methods can also be used for determination, which are not limited here.

[0101] In specific implementation, the energy consumption reachable domain can be determined according to the ambient humidity data and all the historical energy consumption data in the following manner, namely: subtract the minimum humidity in the ambient humidity data from the maximum humidity in the ambient humidity data, perform natural exponential operation on the value obtained by the subtraction, multiply the reciprocal of the value obtained by the natural exponential operation by the minimum value in all the historical energy consumption data, and use the multiplied value as the lower limit value of the energy consumption reachable domain, multiply the reciprocal of the value obtained by the natural exponential operation by the maximum value in all the historical energy consumption data, and use the multiplied value as the upper limit value of the energy consumption reachable domain, and use the interval 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 energy consumption reachable range of the target item during the processing process. A value range is used to analyze the production process of the target item; the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target item according to the humidity fluctuation cost, the energy consumption fluctuation cost and the energy consumption accessible domain can be determined in the following manner, namely: subtract the lower limit value of the energy consumption accessible domain from the upper limit value of the energy consumption accessible domain, multiply the subtracted value by the average value of the humidity fluctuation cost and the energy consumption fluctuation cost, use the multiplied value as the upper limit value of the energy consumption fluctuation domain, use 0 as the lower limit value of the energy consumption fluctuation domain, and use the interval composed of the upper limit value and the lower limit value as the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target item. In other embodiments, other methods can also be used to determine, which are not limited here.

[0102] It should be noted that the energy consumption fluctuation domain in the present application reflects the fluctuation range of energy consumption when the energy-saving drying equipment performs humidity processing on the target object. It is used to analyze the fluctuation of energy consumption, and then solve the fluctuation of power consumption of the energy-saving drying equipment, so as to facilitate the energy-saving drying equipment to process the target object.

[0103] In step 105, the energy consumption confidence index of the target object in each stage is determined by the energy consumption fluctuation domain and the temperature hysteresis information, and the temperature and humidity of the target object are confidence adjusted according to all the energy consumption confidence indexes.

[0104] In some embodiments, determining the energy consumption confidence index of the target object in each stage by using the energy consumption fluctuation domain and the temperature hysteresis information can be implemented by the following steps:

[0105] Determining the net energy consumption of the target item at each stage according to the energy consumption fluctuation domain;

[0106] Get the response time of energy-saving drying equipment;

[0107] determining a hysteresis margin of the target object according to the temperature hysteresis information and the response time;

[0108] The energy consumption confidence index of the target item in each stage is determined by all the net energy consumption and the hysteresis margin.

[0109] In specific implementation, determining the net energy consumption of the target item in each stage according to the energy consumption fluctuation domain can be achieved in the following manner, namely: selecting a stage as the selected stage, subtracting the upper limit value of the energy consumption fluctuation domain from the average value of all historical energy consumptions in the historical energy consumption data corresponding to the selected stage, and using the value obtained by subtraction as the net energy consumption of the target item in the selected stage, and continuing to determine the net energy consumption of the target item in the remaining stages, wherein the net energy consumption represents a parameter value of the degree of use of energy consumption that is fully applied to the target item in this stage, and is used to adjust the humidity of the target item; obtaining the response time of the energy-saving drying equipment can be achieved in the following manner, namely: obtaining 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 issuance of a command to the execution of a command by the energy-saving drying equipment, and is used to adjust the processing process of the energy-saving drying equipment; determining the hysteresis margin of the target item according to the temperature hysteresis information and the response time can be achieved in the following manner, namely: dividing the temperature hysteresis information by the response time, and using the value obtained by the division as the target item. The hysteresis margin of the target item is determined by the following method: initializing an energy consumption confidence index model, taking all the net energy consumption as the initialization parameter of the energy consumption confidence index model, taking the hysteresis margin as the constraint parameter of the energy consumption confidence index model, and obtaining the energy consumption confidence index of the target item in each stage through the energy consumption confidence index model, wherein the energy consumption confidence index model is a detection model of the energy consumption confidence index established by a machine learning algorithm (such as a regression algorithm, a neural network, etc.), and the detection model is, for example: energy consumption confidence index = all net energy consumption * C + hysteresis margin * D, wherein C and D are weight coefficients, C and D can be determined according to a large number of energy consumption confidence indexes, and can also be determined in other ways in other embodiments, which are not limited here.

[0110] It should be noted that the energy consumption confidence index in the present application is a parameter value that reflects the confidence level of energy consumption when processing the target object at this stage. It is used to determine the energy consumption of this stage, and then reasonably allocate the power consumption of the energy-saving drying equipment when processing the target object, thereby reducing the power consumption of the energy-saving drying equipment when processing the target object.

[0111] In some embodiments, the confidence adjustment of the temperature and humidity of the target object according to all energy consumption confidence indexes can be implemented by the following steps:

[0112] A stage is selected as a selected stage, and the energy consumption for adjusting the temperature and the energy consumption for adjusting the humidity of the selected stage are determined according to the energy consumption confidence index corresponding to the selected stage;

[0113] Regulating the temperature of the target object at the selected stage by adjusting the energy consumption of the temperature;

[0114] Adjusting the humidity of the target object at the selected stage through the adjustment of humidity energy consumption;

[0115] Continue to determine the temperature and humidity of the target item during the remaining stages.

[0116] In specific implementation, the energy consumption for adjusting the temperature and the energy consumption for adjusting the humidity of the selected stage can be determined according to the energy consumption confidence index corresponding to the selected stage, which can be implemented in the following manner, namely: obtaining the preset energy consumption for the temperature and the preset energy consumption for the humidity of the selected stage from the database of the energy-saving drying equipment, wherein the preset energy consumption for the temperature represents the energy consumption required for processing the target item at this stage, and the preset energy consumption for the humidity represents the energy consumption required for processing the target item at this stage, multiplying the energy consumption confidence index corresponding to the selected stage by the preset energy consumption for the temperature, and using the multiplied value as the value of the energy consumption for adjusting the temperature of the selected stage, multiplying the energy consumption confidence index corresponding to the selected stage by the preset energy consumption for the humidity, and using the multiplied value as the value of the energy consumption for adjusting the humidity of the selected stage, wherein the energy consumption for adjusting the temperature represents The energy consumption after adjusting the energy consumption required for the temperature of the target item in the selected stage is used to determine the temperature of the target item in the selected stage. The adjusted energy consumption of humidity represents the energy consumption after adjusting the energy consumption required for the humidity of the target item in the selected stage, which is used to determine the humidity of the target item in the selected stage. The energy consumption of the target item in the processing process can be reasonably allocated, thereby achieving energy-saving effects. The temperature and humidity of the target item in the selected stage can be determined in the following manner, namely: the temperature of the target item in the selected stage is determined by combining the energy balance equation in the prior art with the adjusted energy consumption of temperature, and the humidity of the target item in the selected stage is determined by combining the energy balance equation in the prior art with the adjusted energy consumption of humidity. In other embodiments, other methods can also be used for determination, which are not limited here.

[0117] In addition, in another aspect of the present application, in some embodiments, the present application provides a temperature and humidity control system based on an energy-saving dryer, referring to Figure 5 , which is a schematic diagram of exemplary hardware and / or software of a temperature and humidity control system based on an energy-saving dryer according to some embodiments of the present application. The temperature and humidity control system 400 based on an energy-saving dryer includes: an acquisition module 401, a processing module 402 and an execution module 403, which are described as follows:

[0118] Acquisition module 401, in this application, acquisition module 401 is mainly used to acquire historical energy consumption data of target items at various stages in energy-saving drying equipment;

[0119] Processing module 402, in the present application, is used to extract 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;

[0120] It should be noted that the processing module 402 in the present application is also used to determine the energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram, and to perform segmented matching on the temperature of the target object at different stages according to all the energy consumption cross entropies, thereby obtaining multiple energy consumption scale components, and determining the temperature hysteresis information of the target object according to all the energy consumption scale components and the preset drying time;

[0121] In addition, it should be noted that the processing module 402 in the present application is also used to obtain the environmental humidity data of the target object, and determine the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram;

[0122] Execution module 403, in this application, execution module 403 is mainly used to determine the energy consumption confidence index of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and to perform confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes.

[0123] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned temperature and humidity control method based on the energy-saving dryer.

[0124] In some embodiments, reference Figure 6 , which is a schematic diagram of the structure 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. The temperature and humidity control method based on an energy-saving dryer in the above embodiment can be achieved by Figure 6 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0125] The processor 501 may be a general-purpose central processing unit (CPU) or an application specific integrated circuit (ASIC).

[0126] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0127] The memory 503 may be a read only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0128] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0129] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0130] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0131] The above-mentioned 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 computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0132] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the temperature and humidity control method based on the energy-saving dryer is implemented.

[0133] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0134] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A temperature and humidity control method based on an energy-saving dryer, characterized in that: The steps include: Obtain historical energy consumption data of target items at each stage in energy-saving drying equipment; Extract the energy consumption distribution map 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; Based on the ambient temperature data of the target object and the energy consumption distribution diagram, the energy consumption cross entropy when the temperature of the target object is switched at each stage is determined, and the temperature of the target object at different stages is segmentedly matched according to all the energy consumption cross entropies, so as to obtain multiple energy consumption scale components, and the temperature hysteresis information of the target object is adjusted according to all the energy consumption scale components and the preset drying time; Acquire environmental humidity data of the target object, and determine the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram; Determine the energy consumption confidence index of the target object in each stage through 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; The energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram specifically includes: Obtain the ambient temperature data of the target object; Determining the energy consumption difference in each stage according to the energy consumption distribution diagram; A stage is selected as a selected stage, and multiple energy consumption proportions are determined according to the historical energy consumption data corresponding to the selected stage and the energy consumption difference amount corresponding to the selected stage; Determine the energy consumption cross entropy when switching the temperature of the target object in the selected stage according to all energy consumption proportions and the ambient temperature data; Continue to determine the energy consumption cross entropy when switching the temperature of the target object in the remaining stages; Determining the energy consumption fluctuation domain when the energy-saving drying equipment adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram specifically includes: Determining a humidity fluctuation cost of the ambient humidity data; Determining the energy consumption fluctuation cost according to the energy consumption distribution diagram; Determine the energy consumption reachable domain based on the ambient humidity data and all historical energy consumption data; Determine the 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 by using the energy consumption fluctuation domain and the temperature hysteresis information specifically includes: Determining the net energy consumption of the target item at each stage according to the energy consumption fluctuation domain; Get the response time of energy-saving drying equipment; determining a hysteresis margin of the target object according to the temperature hysteresis information and the response time; The energy consumption confidence index of the temperature and humidity of the target object in each stage is determined by all the net energy consumption and the hysteresis margin.

2. The method according to claim 1, characterized in that Based on the distribution characteristics of temperature and humidity of the target object in each stage, the energy consumption distribution diagram of the target object is extracted from all historical energy consumption data, including: Obtain the distribution characteristics of temperature and humidity of the target object in each stage; Determine the energy consumption characteristics of the target item at each stage based on all historical energy consumption data; An energy consumption distribution diagram of the target object is determined according to the distribution characteristics and all energy consumption characteristic quantities.

3. The method according to claim 1, characterized in that According to all the energy consumption cross entropies, the temperature of the target object at different stages is segmented and matched, and then multiple energy consumption scale components are obtained, including: Obtain the distribution characteristics of temperature and humidity of the target object at different stages; The temperature matching degree of the target object at different stages is divided from the distribution characteristics through all energy consumption cross entropies; Get the preset target temperature of the target object; A plurality of energy consumption metric components are determined according to all the temperature matching degrees and the target temperature.

4. The method according to claim 1, characterized in that The temperature hysteresis information of the target object to be regulated is determined by all the energy consumption scale components and the preset drying time, specifically including: Get the preset drying time; Determining multiple hysteresis adjustment amounts of temperature content in the target item based on all energy consumption scale components; The temperature hysteresis information of the adjustment target object is determined according to all the hysteresis adjustment amounts and the drying time.

5. A temperature and humidity control system based on an energy-saving dryer, which uses the method described in any one of claims 1 to 4 to control temperature and humidity, characterized in that: The temperature and humidity control system based on the energy-saving dryer includes: An acquisition module is used to acquire the historical energy consumption data of the target item at each stage in the energy-saving drying equipment; A processing module, used to extract 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; The processing module is further used to determine the energy consumption cross entropy when the temperature of the target object is switched at each stage based on the ambient temperature data of the target object and the energy consumption distribution diagram, and to perform segmented matching on the temperature of the target object at different stages according to all the energy consumption cross entropies, thereby obtaining multiple energy consumption scale components, and to determine the temperature hysteresis information of the target object according to all the energy consumption scale components and the preset drying time; The processing module is further used to obtain environmental humidity data of the target object, and determine the energy consumption fluctuation domain when the energy-saving drying device adjusts the humidity of the target object according to the environmental humidity data and the energy consumption distribution diagram; An execution module is used to determine the energy consumption confidence index of the target object in each stage through the energy consumption fluctuation domain and the temperature hysteresis information, and to perform confidence adjustment on the temperature and humidity of the target object according to all the energy consumption confidence indexes.

6. A computer device, characterized in that: The computer device includes a memory and a processor, 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 according to any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the temperature and humidity control method based on an energy-saving dryer as described in any one of claims 1 to 4 is implemented.

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