Dehumidifier and low energy consumption operation control method of dehumidifier

Abstract

The present application provides a dehumidifier and a low-energy operation control method for the dehumidifier, which extracts the load fluctuation information of the inductive load unit when the target dehumidifier switches to energy saving from the historical power consumption data, and then determines the power fluctuation entropy; extracts the reactive power increment of the inductive load unit during the energy saving switching process from the historical power consumption data, and then determines the power consumption loss of the target dehumidifier when switching to energy saving from the reactive power increment and the power fluctuation entropy; determines the utility loss of heat exchange in the heat exchanger unit through the heat exchange information of the heat exchanger unit and the air specific enthalpy at the air inlet and outlet of the target dehumidifier; performs cost coupling on the power consumption loss and the utility loss to obtain the switching cost when the target dehumidifier switches to energy saving, and then performs power configuration on different split dehumidification units when the target dehumidifier switches to energy saving based on the switching cost. The scheme of the present application can realize adaptive compensation of the switching cost during the energy saving switching of the dehumidifier, thereby improving energy efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of energy-saving air conditioning, and more specifically, to a dehumidifier and a low-energy consumption operation control method of the dehumidifier. Background Art

[0002] A dehumidifier is an energy-saving air conditioning device used to adjust the air humidity. A conventional dehumidifier consists of a compressor, a heat exchanger, a fan, a water container, a housing and a controller. Its working principle is: the fan draws humid air into the machine, passes through the heat exchanger, and the water molecules in the air condense into water droplets. The treated dry air is discharged out of the machine. This cycle keeps the indoor humidity at an appropriate relative humidity.

[0003] In order to reduce energy consumption during the dehumidification process, the working mode of the dehumidifier during dehumidification is usually an intermittent mode. During the intermittent dehumidification process, the working state of the dehumidifier will change intermittently. The inductive load in the inductive load unit of the dehumidifier will introduce inductive reactance during energy-saving switching (energy-saving switching refers to the process of switching the dehumidifier from one working condition to another under low-energy consumption operation). This will cause the instantaneous current to change significantly, resulting in a decrease in the power factor of the power system in the dehumidifier, which will cause the working characteristics of each working module in the dehumidifier to fluctuate, and further cause serious loss of energy efficiency of the dehumidifier during energy-saving switching. By compensating for the switching cost of the dehumidifier during energy-saving switching, the loss of energy efficiency of the dehumidifier during energy-saving switching can be reduced. Therefore, how to achieve adaptive compensation of the switching cost during the energy-saving switching of the dehumidifier, thereby improving energy efficiency, has become a major problem facing the industry. Summary of the invention

[0004] The present application provides a dehumidifier and a low-energy consumption operation control method for the dehumidifier, which can realize adaptive compensation of the switching cost during the energy-saving switching process of the dehumidifier, thereby improving energy efficiency.

[0005] In a first aspect, the present application provides a low-energy consumption operation control method for a dehumidifier, comprising the following steps:

[0006] Collect the power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification, and then obtain historical power consumption data;

[0007] Extracting load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data, and then determining the power fluctuation entropy of the target dehumidifier when the target dehumidifier is switched to energy saving based on the load fluctuation information and the steady-state load of the inductive load unit;

[0008] Extracting the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier from the historical power consumption data, and then determining the power consumption loss during the energy-saving switching of the target dehumidifier from the reactive power increment and the power fluctuation entropy;

[0009] Obtaining heat exchange information of a heat exchanger unit in a target dehumidifier during energy-saving switching, determining heat exchange energy efficiency of the heat exchanger unit by means of the heat exchange information, and further determining utility loss of heat exchange in the heat exchanger unit by means of the heat exchange energy efficiency and specific enthalpy of air at an air inlet and an air outlet of the target dehumidifier;

[0010] The power consumption loss and the utility loss are coupled with each other to obtain a switching cost when the target dehumidifier switches to an energy-saving mode, and power configuration is performed on different split dehumidification units when the target dehumidifier switches to an energy-saving mode based on the switching cost.

[0011] Preferably, extracting the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data specifically includes:

[0012] Determine the switching node of the target dehumidifier at each energy-saving switching according to the historical power consumption data;

[0013] Filtering historical load data of an inductive load unit in a target dehumidifier from the historical power consumption data;

[0014] Extracting the load data before and after the switching of each switching node from the historical load data;

[0015] Determine the load fluctuation amount of the corresponding switching node through the load data before and after the switching of each switching node;

[0016] The set of all load fluctuation amounts is used as the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving.

[0017] Preferably, determining the power fluctuation entropy of the target dehumidifier during energy-saving switching based on the load fluctuation information and the steady-state load of the inductive load unit specifically includes:

[0018] Determining the load reference amount of the inductive load unit when the target dehumidifier switches to energy saving mode according to the steady-state load of the inductive load unit;

[0019] determining a load fluctuation variance of the inductive load unit according to the load fluctuation information;

[0020] The power fluctuation entropy of the target dehumidifier during energy-saving switching is determined according to the load fluctuation information, the load reference amount and the load fluctuation variance.

[0021] Preferably, determining the power consumption loss of the target dehumidifier during energy-saving switching by using the reactive power increment and the power fluctuation entropy specifically includes:

[0022] Determine the power factor of the target dehumidifier when performing steady-state dehumidification;

[0023] Determine the power factor of the target dehumidifier when switching to energy saving;

[0024] Determining power factor loss by the power factor during the steady-state dehumidification and the power factor during the energy-saving switching;

[0025] The reactive increment is power compensated according to the power fluctuation entropy and the power factor loss, so as to obtain the power consumption loss of the target dehumidifier during energy-saving switching.

[0026] Preferably, determining the heat exchange energy efficiency of the heat exchanger unit through the heat exchange information specifically includes:

[0027] Extracting a heat loss curve of a cooling end in the heat exchanger unit from the heat exchange information;

[0028] extracting a heat growth curve of a heating end in the heat exchanger unit from the heat exchange information;

[0029] The heat exchange efficiency of the heat exchanger unit is determined by the heat loss curve and the heat gain curve.

[0030] Preferably, the power consumption loss and the utility loss are coupled to obtain the switching cost of the target dehumidifier when switching to energy saving mode, which specifically includes:

[0031] Determining a cost weight of the power consumption loss;

[0032] determining a cost weight of the utility loss;

[0033] The power consumption loss and the utility loss are coupled by the cost weight of the power consumption loss and the cost weight of the utility loss to obtain the switching cost of the target dehumidifier when switching to energy saving.

[0034] Preferably, the heat exchanger in the heat exchanger unit is an energy-saving heat exchanger.

[0035] In a second aspect, the present application provides a dehumidifier, the dehumidifier includes a control unit, and the control unit includes:

[0036] An acquisition module is used to collect power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification, and then obtain historical power consumption data;

[0037] A processing module, used to extract the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data, and then determine the power fluctuation entropy of the target dehumidifier when the energy saving is switched based on the load fluctuation information and the steady-state load of the inductive load unit;

[0038] The processing module is further used to extract the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier from the historical power consumption data, and then determine the power consumption loss during the energy-saving switching of the target dehumidifier based on the reactive power increment and the power fluctuation entropy;

[0039] The processing module is further used to obtain heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching, determine the heat exchange energy efficiency of the heat exchanger unit through the heat exchange information, and then determine the utility loss of heat exchange in the heat exchanger unit through the heat exchange energy efficiency and the air specific enthalpy at the air inlet and outlet of the target dehumidifier;

[0040] An execution module is used to cost-couple the power consumption loss and the utility loss to obtain a switching cost when the target dehumidifier switches to an energy-saving mode, and to perform power configuration on different split dehumidification units when the target dehumidifier switches to an energy-saving mode based on the switching cost.

[0041] 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 low-energy operation control method of the dehumidifier described above.

[0042] 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 low-energy consumption operation control method of the dehumidifier is implemented.

[0043] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0044] In an embodiment of the present application, power consumption information of different split dehumidification units of a target dehumidifier is collected during intermittent dehumidification, thereby obtaining historical power consumption data; load fluctuation information of the inductive load unit during energy-saving switching of the target dehumidifier is extracted from the historical power consumption data, and the power fluctuation entropy of the target dehumidifier during energy-saving switching is determined from the load fluctuation information and the steady-state load of the inductive load unit; reactive power increment of the inductive load unit during energy-saving switching of the target dehumidifier is extracted from the historical power consumption data, and the power consumption loss of the target dehumidifier during energy-saving switching is determined from the reactive power increment and the power fluctuation entropy; heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching is obtained, the heat exchange energy efficiency of the heat exchanger unit is determined through the heat exchange information, and the utility loss of heat exchange in the heat exchanger unit is determined from the heat exchange energy efficiency and the specific enthalpy of air at the air inlet and outlet of the target dehumidifier; the power consumption loss and the utility loss are cost-coupled to obtain the switching cost of the target dehumidifier during energy-saving switching, and power configuration of different split dehumidification units during energy-saving switching of the target dehumidifier is performed based on the switching cost.

[0045] It can be seen that the present application obtains the switching cost of the target dehumidifier when switching to energy-saving mode by cost coupling the power consumption loss and the utility loss, and then performs power configuration of different split dehumidification units when the target dehumidifier switches to energy-saving mode based on the switching cost; first, the instantaneous current generated by the inductive load (such as compressor and fan) during the energy-saving switching of the dehumidifier has large fluctuations, which leads to power factor loss during the energy-saving switching of the dehumidifier, and then a large amount of reactive power increment is generated during the energy-saving switching of the dehumidifier. The reactive power increment is compensated for by power fluctuation entropy and power factor loss to obtain the power consumption loss during the energy-saving switching of the dehumidifier, which can reduce the introduced Random error is eliminated, thereby improving the quantification accuracy of the power consumption loss during the energy-saving switching of the dehumidifier; secondly, the utility loss of heat exchange is determined by the heat exchange energy efficiency and the specific enthalpy of air, and the energy loss in the heat exchange process can be accurately quantified; then, the power consumption loss and utility loss are subjected to cost coupling analysis to obtain the switching cost during energy-saving switching. The cost coupling analysis can comprehensively evaluate the switching cost during the energy-saving switching of the dehumidifier, and then adjust the power configuration of different split dehumidification units of the dehumidifier based on the switching cost, which can reduce the overall energy consumption and improve the energy efficiency of the system operation; in summary, the present application scheme can realize adaptive compensation of the switching cost during the energy-saving switching of the dehumidifier, thereby improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is an exemplary flow chart of a low energy consumption operation control method of a dehumidifier according to some embodiments of the present application;

[0047] Figure 2 is a schematic diagram of a process for determining power consumption loss according to some embodiments of the present application;

[0048] Figure 3 is a schematic diagram of a process for determining utility loss according to some embodiments of the present application;

[0049] Figure 4 is a schematic diagram of exemplary software modules of a control unit according to some embodiments of the present application;

[0050] Figure 5 It is a structural schematic diagram of a computer device for implementing a low-energy consumption operation control method of a dehumidifier according to some embodiments of the present application. DETAILED DESCRIPTION

[0051] The core of this application is to extract the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy-saving mode from the historical power consumption data, and then determine the power fluctuation entropy; extract the reactive power increase of the inductive load unit during the energy-saving switching process from the historical power consumption data, and then determine the power consumption loss of the target dehumidifier during energy-saving switching by the reactive power increase and the power fluctuation entropy; determine the utility loss of heat exchange in the heat exchanger unit by the heat exchange information of the heat exchanger unit and the air specific enthalpy at the inlet and outlet of the target dehumidifier; cost-couple the power consumption loss and utility loss to obtain the switching cost when the target dehumidifier is switched to energy-saving mode, and then perform power configuration for different split dehumidification units when the target dehumidifier is switched to energy-saving mode based on the switching cost; the scheme can realize adaptive compensation of the switching cost during the energy-saving switching of the dehumidifier, thereby improving energy efficiency.

[0052] 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 low-energy consumption operation control method for a dehumidifier according to some embodiments of the present application. The low-energy consumption operation control method 100 for a dehumidifier mainly includes the following steps:

[0053] In step 101, power consumption information of different split dehumidification units of a target dehumidifier during intermittent dehumidification is collected to obtain historical power consumption data.

[0054] It should be noted that the target dehumidifier in the present application is a split dehumidifier, which is an energy-saving air conditioner. The split dehumidifier includes an inductive load unit and a heat exchanger unit. The inductive load in the inductive load unit includes: a compressor and a fan, and the heat exchanger in the heat exchanger unit includes: an evaporator and a condenser; in addition, the working principle of the split dehumidifier is as follows: when the dehumidifier is running, the indoor wet air is filtered and then enters the evaporator and condenser in turn. In these two devices, the indoor wet air is cooled and dehumidified by the 14°C chilled water and the refrigerant in the compressor for the first and second stages respectively until the required supply air humidity is reached, and then heated by the condenser, the dehumidified air is heated to the required supply air temperature, and then the dehumidified air is sent back to the room by the fan.

[0055] In specific implementation, the power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification is collected, and the historical power consumption data can be obtained by the following method, namely: when the target dehumidifier is intermittently dehumidifying, the power consumption information of different split dehumidification units of the target dehumidifier can be collected by a power consumption data collector, and the collected power consumption information is stored in the database of the target dehumidifier, and then the historical power consumption data of the target dehumidifier is obtained from the database of the target dehumidifier, wherein the historical power consumption data refers to the collection of power consumption data of the target dehumidifier during intermittent dehumidification within a specified time period. In the present application, the specified time period refers to the time period corresponding to the past 3 months to the current moment. In other embodiments, the specified time period may also refer to other time periods, which are not limited here. It should be noted that the power consumption data in the present application includes: power, current, voltage, reactive power and active power. In other embodiments, the power consumption data may also include other electrical information, which is not limited here.

[0056] In step 102, the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving mode is extracted from the historical power consumption data, and then the power fluctuation entropy of the target dehumidifier when the target dehumidifier is switched to energy saving mode is determined based on the load fluctuation information and the steady-state load of the inductive load unit.

[0057] It should be noted that the energy-saving switching in the present application refers to the process in which the target dehumidifier switches from one operating condition to another operating condition under a low-energy consumption operating state. Specifically, during the working process of the dehumidifier, in order to reduce energy consumption, the dehumidifier usually uses an intermittent working mode. In the intermittent working mode, the energy-saving switching of the dehumidifier includes: power on, power off and shifting (load change); in addition, it should be noted that the inductive load unit refers to a load unit in the dehumidifier power system that is mainly composed of inductive elements. The characteristics of the inductive load in the inductive load unit are: the inductive load will generate an electromagnetic field in the AC circuit, thereby introducing inductive reactance in the circuit. The inductive load in the inductive load unit will produce instantaneous current changes during energy-saving switching, thereby generating a large amount of reactive power, and therefore has a greater impact on the power factor and current fluctuations of the power system. During the intermittent working process of the dehumidifier, the inductive load mainly comes from the internal compressor and fan. This is because the inductive reactance introduced by the compressor and fan during energy-saving switching will cause significant fluctuations in current and power. In the present application, the inductive load unit includes: a compressor and a fan.

[0058] In some embodiments, extracting the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving mode from the historical power consumption data can be implemented by the following steps:

[0059] Determine the switching node of the target dehumidifier at each energy-saving switching according to the historical power consumption data;

[0060] Filtering historical load data of an inductive load unit in a target dehumidifier from the historical power consumption data;

[0061] Extracting the load data before and after the switching of each switching node from the historical load data;

[0062] Determine the load fluctuation amount of the corresponding switching node through the load data before and after the switching of each switching node;

[0063] The set of all load fluctuation amounts is used as the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving.

[0064] In specific implementation, determining the switching node of the target dehumidifier at each energy-saving switch based on the historical power consumption data can be achieved in the following manner, namely: initializing the switching node detection model, taking the historical power consumption data as the input parameter of the switching node detection model, and then taking each node output by the switching node detection model as the switching node of the target dehumidifier during energy-saving switching. It should be noted that the switching node detection model in the present application is used to detect the switching node during energy-saving switching of the dehumidifier. The switching node detection model is a detection model obtained by preprocessing, feature extraction, model training and verification of a large amount of historical power consumption data. The algorithm structure in the model training process can adopt a convolutional neural network. In other embodiments, other existing algorithm structures can also be used, which will not be repeated here.

[0065] In addition, filtering the historical load data of the inductive load unit in the target dehumidifier from the historical power consumption data can be achieved in the following manner, namely: first, filtering out the historical load data when the compressor is running from the historical power consumption data; secondly, filtering out the historical load data when the fan is running from the historical power consumption data; and then, using an array consisting of the historical load data when the compressor is running and the historical load data when the fan is running as the historical load data of the inductive load unit in the target dehumidifier.

[0066] In specific implementation, the load data before and after the switching of each switching node is intercepted from the historical load data and can be implemented in the following manner, namely: the load data corresponding to the start of switching to the end of switching at each switching node is intercepted from the historical load data; the load fluctuation amount of the corresponding switching node is determined by the load data before and after the switching of each switching node and can be implemented in the following manner, namely: a switching node is selected, and the load data before and after the switching of the switching node is obtained, and the difference between the load data after the switching of the switching node and the load data before the switching of the switching node is used as the load fluctuation amount of the switching node, and the above steps are repeated to obtain the load fluctuation amount of the remaining switching nodes. It should be noted that the load data before and after the switching of the switching node in the present application includes the load information of the compressor and the fan, that is, the load fluctuation amount of the switching node refers to the sum of the load fluctuation amount of the compressor and the load fluctuation amount of the fan. In other embodiments, the load fluctuation amount of the switching node may also refer to the average value between the load fluctuation amount of the compressor and the load fluctuation amount of the fan, which is not limited here.

[0067] It should be noted that the load fluctuation amount in the present application is an indicator for measuring the load fluctuation degree of the inductive load in the inductive load unit before and after the energy-saving switching of the dehumidifier. The larger the load fluctuation amount, the greater the load fluctuation degree of the inductive load in the inductive load unit before and after the energy-saving switching of the dehumidifier. The smaller the load fluctuation amount, the smaller the load fluctuation degree of the inductive load in the inductive load unit before and after the energy-saving switching of the dehumidifier. During the operation of the dehumidifier, in order to make the system as close to stability as possible, it is usually hoped that the load fluctuation amount of the inductive load during the energy-saving switching process is as small as possible.

[0068] In some embodiments, determining the power fluctuation entropy of the target dehumidifier during energy-saving switching based on the load fluctuation information and the steady-state load of the inductive load unit can be implemented by the following steps:

[0069] Determining the load reference amount of the inductive load unit when the target dehumidifier switches to energy saving mode according to the steady-state load of the inductive load unit;

[0070] determining a load fluctuation variance of the inductive load unit according to the load fluctuation information;

[0071] The power fluctuation entropy of the target dehumidifier during energy-saving switching is determined according to the load fluctuation information, the load reference amount and the load fluctuation variance.

[0072] It should be noted that the load reference quantity in the present application is a basic parameter for measuring the average load fluctuation degree of the inductive load in the inductive load unit under a stable working state. As a preferred embodiment, the load reference quantity of the inductive load unit when the energy-saving switching of the target dehumidifier is determined by the steady-state load of the inductive load unit can be implemented in the following manner, namely: first, the steady-state load of the compressor in the inductive load unit is obtained from the steady-state load of the inductive load unit, and then the steady-state average load of the compressor is calculated from the steady-state load of the compressor in the inductive load unit, and then each load value in the steady-state load of the compressor is compared with the steady-state load. The average value of the absolute difference between the steady-state average load and the steady-state average load is used as the load reference of the compressor during the energy-saving switching process, and then the steady-state load of the fan in the inductive load unit is obtained from the steady-state load of the inductive load unit, and then the steady-state average load of the fan is calculated from the steady-state load of the fan in the inductive load unit, and then the average value of the absolute difference between each load value in the steady-state load of the fan and the steady-state average load is used as the load reference of the fan during the energy-saving switching process, and finally, the sum of the load reference of the compressor and the load reference of the fan is used as the load reference of the inductive load unit when the target dehumidifier is switched to energy-saving mode.

[0073] In specific implementation, determining the load fluctuation variance of the inductive load unit based on the load fluctuation information can be achieved in the following manner, namely: the variance calculated by all load fluctuation amounts in the load fluctuation information can be used as the load fluctuation variance of the inductive load unit. It should be noted that the load fluctuation variance in the present application refers to the variance of the load fluctuation amount in the load fluctuation information.

[0074] Preferably, in the above embodiment, determining the power fluctuation entropy of the target dehumidifier during energy-saving switching according to the load fluctuation information, the load reference amount and the load fluctuation variance can be implemented by the following steps:

[0075] Determine the load fluctuation difference of the corresponding switching node by using each load fluctuation amount in the load fluctuation information and the load reference amount;

[0076] The information entropy is used to describe the entropy characteristics of all load fluctuation differences, and the load fluctuation entropy is obtained;

[0077] The load fluctuation entropy is entropy compensated according to the load fluctuation variance, so as to obtain the power fluctuation entropy of the target dehumidifier when energy-saving switching is performed.

[0078] In specific implementation, the load fluctuation difference of the corresponding switching node can be determined by each load fluctuation amount in the load fluctuation information and the load reference amount in the following manner, namely: for each load fluctuation amount in the load fluctuation information, the absolute difference between the load fluctuation amount and the load reference amount is used as the load fluctuation difference of the switching node corresponding to the load fluctuation amount, and then the load fluctuation differences of the switching nodes corresponding to all load fluctuation amounts are obtained.

[0079] It should be noted that the load fluctuation entropy in the present application is an indicator for measuring the uncertainty of load fluctuation differences. The load fluctuation entropy can be used to measure the uncertainty of load fluctuations during the energy-saving switching process of the dehumidifier. As a preferred embodiment, the information entropy is used to describe the entropy characteristics of all load fluctuation differences to obtain the load fluctuation entropy, that is, the information entropy of all load fluctuation differences is used as the load fluctuation entropy. In other embodiments, the load fluctuation entropy can also be described by other existing entropy characteristic formulas for entropy characteristic description, which is not limited here.

[0080] In specific implementation, entropy compensation is performed on the load fluctuation entropy according to the load fluctuation variance, and then the power fluctuation entropy when the target dehumidifier is switched to energy-saving mode is obtained. This can be achieved in the following manner, namely: the load fluctuation variance is used as the adjustment coefficient of the load fluctuation entropy, and then the adjusted load fluctuation entropy is used as the power fluctuation entropy when the target dehumidifier is switched to energy-saving mode. Specifically, the natural exponential of the opposite number of the load fluctuation variance can be used as the adjustment coefficient, and then the product of the adjustment coefficient and the load fluctuation entropy is used as the power fluctuation entropy when the target dehumidifier is switched to energy-saving mode.

[0081] It should be noted that in the present application, entropy compensation of the load fluctuation entropy is performed through the load fluctuation variance, which is beneficial to reducing the impact of the load fluctuation amplitude on the fluctuation uncertainty (reducing the sensitivity to interference noise), thereby improving the accuracy of the power fluctuation entropy of the target dehumidifier during energy-saving switching; in addition, the power fluctuation entropy in the present application is an indicator for measuring the uncertainty of power fluctuation when the dehumidifier is switched to energy-saving mode. The larger the power fluctuation entropy, the greater the uncertainty of power fluctuation when the dehumidifier is switched to energy-saving mode, and the smaller the power fluctuation entropy, the smaller the uncertainty of power fluctuation when the dehumidifier is switched to energy-saving mode.

[0082] In step 103, the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier is extracted from the historical power consumption data, and then the power consumption loss during the energy-saving switching of the target dehumidifier is determined by the reactive power increment and the power fluctuation entropy.

[0083] In some embodiments, extracting the reactive power increment of the inductive load unit during the energy-saving switching process of the target dehumidifier from the historical power consumption data can be achieved by using the following steps:

[0084] Extracting the power consumption data segment of the target dehumidifier when switching to energy saving from the historical power consumption data;

[0085] The reactive power increment of the inductive load unit during the energy-saving switching process of the target dehumidifier is determined through the power consumption data segment.

[0086] In specific implementation, the power consumption data segment when the target dehumidifier switches to energy saving mode can be extracted from the historical power consumption data in the following manner, namely: the switching node of the target dehumidifier at each energy saving mode can be obtained first, and then the power consumption data sub-segments of each switching node can be intercepted from the historical power consumption data, wherein the power consumption data sub-segment refers to the data segment between before and after the energy saving mode, and then the set of all power consumption data sub-segments is used as the power consumption data segment when the target dehumidifier switches to energy saving mode.

[0087] In addition, determining the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier through the power consumption data segment can be achieved by the following steps, namely: selecting a power consumption data sub-segment in the power consumption data segment, obtaining the reactive power at the beginning of the switching from the power consumption data sub-segment, and then obtaining the maximum reactive power during the switching process from the power consumption data sub-segment, and taking the difference between the maximum reactive power and the reactive power at the beginning of the switching as the reactive power increment of the power consumption data sub-segment, repeating the above steps to obtain the reactive power increment of the remaining power consumption data sub-segments, and then taking the average value of all reactive power increments as the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier. It should be noted that the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier in the present application is an indicator reflecting the average reactive power increment of the inductive load in the inductive load unit during the energy-saving switching of the target dehumidifier.

[0088] In some embodiments, reference Figure 2 As shown, this figure is a schematic diagram of a process for determining power consumption loss in some embodiments of the present application. In this embodiment, the power consumption loss of the target dehumidifier during energy-saving switching is determined by the reactive power increment and the power fluctuation entropy, which can be implemented by the following steps:

[0089] First, in step 1031, the power factor of the target dehumidifier when performing steady-state dehumidification is determined;

[0090] Secondly, in step 1032, the power factor of the target dehumidifier when performing energy-saving switching is determined;

[0091] Then, in step 1033, the power factor loss is determined by the power factor during the steady-state dehumidification and the power factor during the energy-saving switching;

[0092] Finally, in step 1034, the reactive power increment is power compensated according to the power fluctuation entropy and the power factor loss, thereby obtaining the power consumption loss of the target dehumidifier during energy-saving switching.

[0093] It should be noted that the power consumption loss in the present application refers to the loss of reactive power consumption during the energy-saving switching process of the dehumidifier. When the dehumidifier switches to energy-saving mode, the instantaneous current generated by the inductive load (such as a compressor and a fan) in the inductive load unit fluctuates greatly, which leads to a decrease in the power factor during the energy-saving switching of the dehumidifier, thereby causing a large amount of reactive power consumption loss to be generated during the energy-saving switching process of the dehumidifier. The greater the power consumption loss, the greater the reactive power consumption loss generated during the energy-saving switching process of the dehumidifier, and the smaller the power consumption loss, the smaller the reactive power consumption loss generated during the energy-saving switching process of the dehumidifier.

[0094] Preferably, in the above embodiment, determining the power factor of the target dehumidifier when performing steady-state dehumidification can be achieved by using the following steps:

[0095] Obtaining steady-state power consumption data of a target dehumidifier when performing steady-state dehumidification from historical power consumption data;

[0096] The power factor of the target dehumidifier when performing steady-state dehumidification is determined by the steady-state power consumption data.

[0097] In specific implementation, the steady-state power consumption data of the target dehumidifier when performing steady-state dehumidification can be obtained from the historical power consumption data in the following manner, namely: first convert the historical power consumption data into a time series format to obtain a power consumption data sequence, then calculate the rate of change of power to identify the steady-state dehumidification power consumption data segment of the target dehumidifier when performing steady-state dehumidification, and then use the set of all steady-state dehumidification power consumption data segments as the steady-state power consumption data of the target dehumidifier when performing steady-state dehumidification.

[0098] It should be noted that when the target dehumidifier performs steady-state dehumidification, its operation is stable and the power fluctuation is small. Therefore, the power consumption data of the target dehumidifier when performing steady-state dehumidification can be identified by the power change rate. In other embodiments, the power consumption data of the target dehumidifier when performing steady-state dehumidification can also be identified by other existing technologies, which will not be repeated here.

[0099] In specific implementation, the power factor of the target dehumidifier during steady-state dehumidification can be determined through the steady-state power consumption data in the following manner, namely: first, the active power of the dehumidifier at each sampling moment is obtained from the steady-state power consumption data, and then the average active power is obtained; secondly, the apparent power of the dehumidifier at each sampling moment is obtained from the steady-state power consumption data, and then the average apparent power is obtained; then, the ratio between the average active power and the average apparent power is used as the power factor of the target dehumidifier during steady-state dehumidification.

[0100] It should be noted that the power factor directly reflects the efficiency of energy utilization. The higher the power factor, the greater the proportion of active power in the system and the higher the efficiency of electric energy utilization. A low power factor means more reactive power, which increases the loss in the energy conversion process. Therefore, when calculating power consumption loss, the influence of power factor needs to be considered.

[0101] Preferably, in the above embodiment, determining the power factor of the target dehumidifier when performing energy-saving switching can be achieved by using the following steps:

[0102] Obtain switching power consumption data of the target dehumidifier when performing energy-saving switching from historical power consumption data;

[0103] The power factor of the target dehumidifier when performing energy-saving switching is determined through the switching power consumption data.

[0104] In specific implementation, obtaining the switching power consumption data of the target dehumidifier when performing energy-saving switching from the historical power consumption data can be achieved in the following manner, namely: first converting the historical power consumption data into a time series format to obtain a power consumption data sequence, and then identifying the switching power consumption data segment when the target dehumidifier performs energy-saving switching by calculating the power change rate, and then taking the set of all switching power consumption data segments as the switching power consumption data when the target dehumidifier performs energy-saving switching; determining the power factor of the target dehumidifier when performing energy-saving switching through the switching power consumption data can be achieved in the following manner, namely: obtaining the active power of the dehumidifier at each sampling moment from the switching power consumption data, and then obtaining the average active power, obtaining the apparent power of the dehumidifier at each sampling moment from the switching power consumption data, and then obtaining the average apparent power, and then taking the ratio of the average active power to the average apparent power as the power factor of the target dehumidifier when performing energy-saving switching.

[0105] It should be noted that the power factor loss in the present application refers to the amount of power factor drop caused by the energy-saving switching of the dehumidifier. By determining the power factor loss, the impact of the energy-saving switching on the efficiency of electric energy utilization can be identified, thereby realizing the quantification of the power consumption loss during the energy-saving switching; in specific implementation, the power factor loss can be determined by the power factor during the steady-state dehumidification and the power factor during the energy-saving switching. The following method can be used, namely: the absolute difference between the power factor during the steady-state dehumidification and the power factor during the energy-saving switching can be used as the power factor loss.

[0106] In specific implementation, the reactive increment is power compensated according to the power fluctuation entropy and the power factor loss, so as to obtain the power consumption loss when the target dehumidifier is switched to energy-saving mode. This can be achieved in the following way: the natural exponential of the inverse of the product of the power fluctuation entropy and the power factor loss can be used as the power compensation coefficient, and then the reactive increment is power compensated by the power compensation coefficient, that is, the product of the power compensation coefficient and the reactive increment can be used as the power consumption loss when the target dehumidifier is switched to energy-saving mode. It should be noted that in the present application, the reactive increment is power compensated by the power fluctuation entropy and the power factor loss, so as to reduce the random error introduced in the energy-saving switching process of the dehumidifier, thereby improving the quantification accuracy of the power consumption loss when the dehumidifier is switched to energy-saving mode.

[0107] In step 104, the heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching is obtained, and the heat exchange energy efficiency of the heat exchanger unit is determined based on the heat exchange information. The utility loss of heat exchange in the heat exchanger unit is then determined based on the heat exchange energy efficiency and the air specific enthalpy at the air inlet and outlet of the target dehumidifier.

[0108] It should be noted that the heat exchange information in the present application refers to various data that describe the transfer of heat between different media (such as air and refrigerant) in the dehumidifier. By analyzing the heat exchange information, the performance of the heat exchanger in the heat exchanger unit (the heat exchanger in the heat exchanger unit includes: evaporator and condenser) can be evaluated and optimized. In specific implementation, the heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching can be obtained in the following way, namely: the heat exchange information collected by the humidity detection sensor can be obtained from the database, and the heat exchange information includes: temperature data, humidity data, flow data, heat transfer data and pressure data.

[0109] In some embodiments, determining the heat exchange efficiency of the heat exchanger unit by using the heat exchange information can be achieved by using the following steps:

[0110] Extracting a heat loss curve of a cooling end in the heat exchanger unit from the heat exchange information;

[0111] extracting a heat growth curve of a heating end in the heat exchanger unit from the heat exchange information;

[0112] The heat exchange efficiency of the heat exchanger unit is determined by the heat loss curve and the heat gain curve.

[0113] In specific implementation, extracting the heat loss curve of the cooling end of the heat exchanger unit from the heat exchange information can be achieved in the following manner, namely: obtaining the cooling information when the air flows through the cooling end (evaporator) of the heat exchanger unit from the heat exchange information, and then arranging all the cooling values ​​in the cooling information in the order of collection time into a sequence as the heat loss curve; extracting the heat growth curve of the heating end (condenser) of the heat exchanger unit from the heat exchange information can be achieved in the following manner, namely: obtaining the heating information when the air flows through the heating end of the heat exchanger unit from the heat exchange information, and then arranging all the heating values ​​in the heating in the order of collection time into a sequence as the heat growth curve.

[0114] In addition, determining the heat exchange energy efficiency of the heat exchanger unit through the heat loss curve and the heat growth curve can be achieved in the following manner, namely: the heat exchange energy efficiency of the heat exchanger unit at each switching node can be determined through the heat loss curve and the heat growth curve, and then the average value of the heat exchange energy efficiencies of the heat exchanger units at all switching nodes is used as the heat exchange energy efficiency of the heat exchanger unit. Preferably, determining the heat exchange energy efficiency of the heat exchanger unit at each switching node through the heat loss curve and the heat growth curve can be achieved in the following manner, namely: selecting a switching node, obtaining the cooling value of the switching node from the heat loss curve, obtaining the heating value of the switching node from the heat growth curve, and then taking the ratio of the heating value to the cooling value as the heat exchange energy efficiency of the heat exchanger unit at the switching node, repeating the above steps to obtain the heat exchange energy efficiency of the heat exchanger units at the remaining switching nodes.

[0115] It should be noted that the heat exchange energy efficiency in the present application refers to the utility ratio of energy exchange in the heat exchanger during the energy-saving switching process of the target dehumidifier. The heat exchange energy efficiency can reflect the energy exchange efficiency of the heat exchanger during the energy-saving switching process. The greater the heat exchange energy efficiency, the higher the energy exchange efficiency of the heat exchanger during the energy-saving switching process. The smaller the heat exchange energy efficiency, the lower the energy exchange efficiency of the heat exchanger during the energy-saving switching process. The heat exchanger refers to the evaporator and condenser in the heat exchanger unit.

[0116] In some embodiments, determining the utility loss of heat exchange in the heat exchanger unit based on the heat exchange energy efficiency and the air specific enthalpy at the air inlet and the air outlet of the target dehumidifier can be achieved by the following steps:

[0117] Obtain the specific enthalpy of air at the air inlet when the target dehumidifier switches to energy-saving mode;

[0118] Obtain the specific enthalpy of air at the outlet of the target dehumidifier when switching to energy-saving mode;

[0119] Determining the dehumidification energy efficiency of the target dehumidifier during energy-saving switching by using the air specific enthalpy at the air inlet and the air specific enthalpy at the air outlet;

[0120] A utility loss of heat exchange in the heat exchanger unit is determined based on the heat exchange energy efficiency and the dehumidification energy efficiency.

[0121] It should be noted that the specific enthalpy of air refers to the total energy contained in a unit mass of air, usually measured in kilojoules per kilogram (kJ / kg). It includes the sensible heat (heat generated due to temperature changes) and latent heat (heat generated due to humidity changes) in the air.

[0122] In specific implementation, the following method can be used to obtain the air specific enthalpy at the air inlet when the target dehumidifier is switched to energy-saving mode, namely: obtain the average temperature of the air at the air inlet when the target dehumidifier is switched to energy-saving mode, obtain the average humidity of the air at the air inlet when the target dehumidifier is switched to energy-saving mode, and then substitute the average temperature of the air and the average humidity of the air into the specific enthalpy calculation formula of the air, so as to obtain the air specific enthalpy at the air inlet of the target dehumidifier; the following method can be used to obtain the air specific enthalpy at the air outlet when the target dehumidifier is switched to energy-saving mode, namely: obtain the average temperature of the air at the air outlet when the target dehumidifier is switched to energy-saving mode, obtain the average humidity of the air at the air outlet when the target dehumidifier is switched to energy-saving mode, and then substitute the average temperature of the air and the average humidity of the air into the specific enthalpy calculation formula of the air, so as to obtain the air specific enthalpy at the air outlet of the target dehumidifier.

[0123] It should be noted that the dehumidification energy efficiency in the present application is an indicator for evaluating the performance (energy efficiency) of the dehumidifier during energy-saving switching. The greater the dehumidification energy efficiency, the better the performance of the dehumidifier during energy-saving switching. The smaller the dehumidification energy efficiency, the worse the performance of the dehumidifier during energy-saving switching. In specific implementation, the dehumidification energy efficiency of the target dehumidifier during energy-saving switching can be determined by the air specific enthalpy at the air inlet and the air specific enthalpy at the air outlet. The following method can be used, namely: the ratio of the absolute difference between the air specific enthalpy at the outlet and the air specific enthalpy at the inlet to the air specific enthalpy at the inlet can be used as the dehumidification energy efficiency of the target dehumidifier during energy-saving switching.

[0124] Preferably, in the above embodiments, reference Figure 3 As shown, this figure is a schematic diagram of a process for determining utility loss in some embodiments of the present application. In this embodiment, the utility loss of heat exchange in the heat exchanger unit is determined according to the heat exchange energy efficiency and the dehumidification energy efficiency, which can be achieved by the following steps:

[0125] First, in step 1041, the theoretical energy efficiency of heat exchange in the heat exchanger unit is obtained;

[0126] Then, in step 1042, the actual energy efficiency of heat exchange in the heat exchanger unit is determined according to the heat exchange energy efficiency and the dehumidification energy efficiency;

[0127] Finally, in step 1043, the utility loss of heat exchange in the heat exchanger unit is determined from the theoretical energy efficiency and the actual energy efficiency.

[0128] It should be noted that the theoretical energy efficiency of heat exchange in the heat exchanger unit can be obtained by obtaining design parameters by consulting the dehumidifier manual, and then substituting the design parameters into the energy efficiency calculation formula to obtain the theoretical energy efficiency of heat exchange in the heat exchanger unit.

[0129] In specific implementation, determining the actual energy efficiency of heat exchange in the heat exchanger unit based on the heat exchange energy efficiency and the dehumidification energy efficiency can be achieved in the following manner, namely: the product of the heat exchange energy efficiency and the dehumidification energy efficiency can be used as the actual energy efficiency of heat exchange in the heat exchanger unit. In other embodiments, the weighted value of the heat exchange energy efficiency and the dehumidification energy efficiency can also be used as the actual energy efficiency of heat exchange in the heat exchanger unit, which is not limited here.

[0130] It should be noted that the utility loss in the present application refers to the energy loss caused by the reduction of energy transfer and conversion efficiency during the energy-saving switching process of the target dehumidifier. In specific implementation, the utility loss of heat exchange in the heat exchanger unit determined by the theoretical energy efficiency and the actual energy efficiency can be achieved in the following way, namely: the difference between the theoretical energy efficiency and the actual energy efficiency can be used as the utility loss of heat exchange in the heat exchanger unit, wherein the value range of the utility loss is between 0 and 1, and the greater the utility loss, the greater the energy loss caused by the reduction of energy transfer and conversion efficiency during the energy-saving switching process of the target dehumidifier.

[0131] In step 105, the power consumption loss and the utility loss are coupled to obtain a switching cost when the target dehumidifier switches to an energy-saving mode, and power configuration is performed on different split dehumidification units when the target dehumidifier switches to an energy-saving mode based on the switching cost.

[0132] In some embodiments, the power consumption loss and the utility loss are coupled to obtain the switching cost of the target dehumidifier when switching to energy saving mode, which can be achieved by using the following steps:

[0133] Determining a cost weight of the power consumption loss;

[0134] determining a cost weight of the utility loss;

[0135] The power consumption loss and the utility loss are coupled by the cost weight of the power consumption loss and the cost weight of the utility loss to obtain the switching cost of the target dehumidifier when switching to energy saving.

[0136] In specific implementation, the cost weight of the power consumption loss can be determined in the following manner, namely: the cost weight of the power consumption loss can be determined through a large amount of power consumption loss experimental data; when the power consumption loss is greater than the theoretical power consumption loss, the cost weight of the power consumption loss can be set between 0.5 and 0.7; when the power consumption loss is less than the theoretical power consumption loss, the cost weight of the power consumption loss can be set between 0.3 and 0.5; the cost weight of the utility loss can be determined in the following manner, namely: the cost weight of the utility loss can be set by the cost weight of the power consumption loss; the cost weight of the utility loss = 1 - the cost weight of the power consumption loss.

[0137] In specific implementation, the power consumption loss and the utility loss are coupled through the cost weight of the power consumption loss and the cost weight of the utility loss, and the switching cost when the target dehumidifier is switched for energy saving can be obtained. This can be achieved in the following way, namely: initialize a cost model, use the cost weight of the power consumption loss and the cost weight of the utility loss as constraint parameters of the cost model, and then initialize the cost model through the power consumption loss and the utility loss, and then output the switching cost when the target dehumidifier is switched for energy saving through the initialized cost model. It should be noted that the cost relationship in the cost model in the present application is: switching cost = cost weight of power consumption loss * power consumption loss + cost weight of utility loss * utility loss + loss factor, wherein the loss factor is used to describe the energy loss caused by dielectric loss in the capacitor, and the ratio of the power loss of the capacitor to the energy stored in the capacitor can be used as the loss factor.

[0138] It should be noted that the switching cost in the present application is an indicator to measure the switching cost during the operating condition switching process of the dehumidifier in the low-energy consumption operating state. The larger the switching cost, the greater the switching cost during the operating condition switching process of the dehumidifier in the low-energy consumption operating state. The smaller the switching cost, the smaller the switching cost during the operating condition switching process of the dehumidifier in the low-energy consumption operating state. In the embodiment of the present application, the switching cost mainly refers to the additional energy consumed during the switching process. In other embodiments, the switching cost also includes other costs, such as time cost, which is not limited here.

[0139] In some embodiments, the power configuration of different split dehumidification units when the target dehumidifier is switched to energy saving based on the switching cost can be implemented by the following steps:

[0140] Generate a control instruction for power configuration of the target dehumidifier during energy-saving switching based on the switching cost;

[0141] The power configuration of the power configuration unit in the target dehumidifier is adjusted through the control instruction.

[0142] It should be noted that the power configuration control instructions for the target dehumidifier during energy-saving switching generated based on the switching cost in the present application refer to formulating a power configuration control strategy for the dehumidifier during the energy-saving switching process based on the switching cost to minimize the switching cost, and then converting the power configuration control strategy into control instructions that the machine can recognize. Specifically, an optimization algorithm (the optimization algorithm is such as linear programming and genetic algorithm) can be used to minimize the switching cost while meeting the dehumidification needs, and then formulate a power configuration control strategy for the dehumidifier during the energy-saving switching process based on the output results of the optimization algorithm, and then convert the power configuration control strategy into control instructions that the machine can recognize.

[0143] In specific implementation, the power configuration of the power configuration unit in the target dehumidifier can be adjusted by the control instruction in the following manner, namely: applying the generated control instruction to the power configuration unit of the dehumidifier, and adjusting the power allocation parameters of each module of the control system through the power configuration unit; it should be noted that by adjusting the power allocation parameters of each module during the energy-saving switching process, adaptive compensation of power can be achieved during the energy-saving switching of the dehumidifier, thereby improving energy efficiency and reducing energy consumption losses.

[0144] On the other hand, in some embodiments, the present application provides a dehumidifier, the dehumidifier includes a control unit, referring to Figure 4 , which is a schematic diagram of exemplary software modules of a control unit according to some embodiments of the present application, the control unit 400 includes: an acquisition module 401, a processing module 402 and an execution module 403, which are described as follows:

[0145] Acquisition module 401, in this application, acquisition module 401 is mainly used to collect power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification, and then obtain historical power consumption data;

[0146] Processing module 402, in the present application, the processing module 402 is used to extract the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data, and then determine the power fluctuation entropy of the target dehumidifier when the energy saving is switched based on the load fluctuation information and the steady-state load of the inductive load unit;

[0147] The processing module 402 in the present application is also used to extract the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier from the historical power consumption data, and then determine the power consumption loss during the energy-saving switching of the target dehumidifier from the reactive power increment and the power fluctuation entropy;

[0148] The processing module 402 in the present application is also used to obtain heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching, determine the heat exchange energy efficiency of the heat exchanger unit through the heat exchange information, and then determine the utility loss of heat exchange in the heat exchanger unit through the heat exchange energy efficiency and the air specific enthalpy at the air inlet and outlet of the target dehumidifier;

[0149] Execution module 403, in the present application, execution module 403 is mainly used to cost-couple the power consumption loss and the utility loss, obtain the switching cost when the target dehumidifier switches to energy saving, and perform power configuration on different split dehumidification units when the target dehumidifier switches to energy saving based on the switching cost.

[0150] 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 low-energy operation control method of the dehumidifier mentioned above.

[0151] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device according to some embodiments of the present application using a low-energy consumption operation control method for a dehumidifier. The low-energy consumption operation control method for a dehumidifier in the above embodiment can be achieved by Figure 5 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.

[0152] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0153] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0154] 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, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a 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 instructions or data structures 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.

[0155] 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 low-energy consumption operation control method of the dehumidifier 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.

[0156] 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.

[0157] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0158] The above-mentioned computer device can be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device can 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.

[0159] 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, it implements the low-energy consumption operation control method of the dehumidifier.

[0160] 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.

[0161] 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 low energy consumption operation control method for a dehumidifier, characterized in that: The steps include: Collect the power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification, and then obtain historical power consumption data; Extracting load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data, and then determining the power fluctuation entropy of the target dehumidifier when the target dehumidifier is switched to energy saving based on the load fluctuation information and the steady-state load of the inductive load unit; Extracting the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier from the historical power consumption data, and then determining the power consumption loss during the energy-saving switching of the target dehumidifier from the reactive power increment and the power fluctuation entropy; Obtaining heat exchange information of a heat exchanger unit in a target dehumidifier during energy-saving switching, determining heat exchange energy efficiency of the heat exchanger unit by means of the heat exchange information, and further determining utility loss of heat exchange in the heat exchanger unit by means of the heat exchange energy efficiency and specific enthalpy of air at an air inlet and an air outlet of the target dehumidifier; The power consumption loss and the utility loss are coupled with each other to obtain a switching cost when the target dehumidifier switches to an energy-saving mode, and power configuration is performed on different split dehumidification units when the target dehumidifier switches to an energy-saving mode based on the switching cost.

2. The method according to claim 1, characterized in that Extracting the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data specifically includes: Determine the switching node of the target dehumidifier at each energy-saving switching according to the historical power consumption data; Filtering historical load data of an inductive load unit in a target dehumidifier from the historical power consumption data; Extracting the load data before and after the switching of each switching node from the historical load data; Determine the load fluctuation amount of the corresponding switching node through the load data before and after the switching of each switching node; The set of all load fluctuation amounts is used as the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving.

3. The method according to claim 1, characterized in that Determining the power fluctuation entropy of the target dehumidifier during energy-saving switching based on the load fluctuation information and the steady-state load of the inductive load unit specifically includes: Determining the load reference amount of the inductive load unit when the target dehumidifier switches to energy saving mode according to the steady-state load of the inductive load unit; determining a load fluctuation variance of the inductive load unit according to the load fluctuation information; The power fluctuation entropy of the target dehumidifier during energy-saving switching is determined according to the load fluctuation information, the load reference amount and the load fluctuation variance.

4. The method according to claim 1, characterized in that Determining the power consumption loss of the target dehumidifier during energy-saving switching based on the reactive power increment and the power fluctuation entropy specifically includes: Determine the power factor of the target dehumidifier when performing steady-state dehumidification; Determine the power factor of the target dehumidifier when switching to energy saving; Determining power factor loss by the power factor during the steady-state dehumidification and the power factor during the energy-saving switching; The reactive increment is power compensated according to the power fluctuation entropy and the power factor loss, so as to obtain the power consumption loss of the target dehumidifier during energy-saving switching.

5. The method according to claim 1, characterized in that Determining the heat exchange energy efficiency of the heat exchanger unit by using the heat exchange information specifically includes: Extracting a heat loss curve of a cooling end in the heat exchanger unit from the heat exchange information; extracting a heat growth curve of a heating end in the heat exchanger unit from the heat exchange information; The heat exchange efficiency of the heat exchanger unit is determined by the heat loss curve and the heat gain curve.

6. The method according to claim 1, characterized in that The power consumption loss and the utility loss are coupled to obtain the switching cost of the target dehumidifier when switching to energy saving mode, which specifically includes: Determining a cost weight of the power consumption loss; determining a cost weight of the utility loss; The power consumption loss and the utility loss are coupled by the cost weight of the power consumption loss and the cost weight of the utility loss to obtain the switching cost of the target dehumidifier when switching to energy saving.

7. The method according to claim 1, characterized in that The heat exchanger in the heat exchanger unit is an energy-saving heat exchanger.

8. A dehumidifier, comprising a control unit, characterized in that: The control unit comprises: An acquisition module is used to collect power consumption information of different split dehumidification units of the target dehumidifier during intermittent dehumidification, and then obtain historical power consumption data; A processing module, used to extract the load fluctuation information of the inductive load unit when the target dehumidifier is switched to energy saving from the historical power consumption data, and then determine the power fluctuation entropy of the target dehumidifier when the energy saving is switched based on the load fluctuation information and the steady-state load of the inductive load unit; The processing module is further used to extract the reactive power increment of the inductive load unit during the energy-saving switching of the target dehumidifier from the historical power consumption data, and then determine the power consumption loss during the energy-saving switching of the target dehumidifier based on the reactive power increment and the power fluctuation entropy; The processing module is further used to obtain heat exchange information of the heat exchanger unit in the target dehumidifier during energy-saving switching, determine the heat exchange energy efficiency of the heat exchanger unit through the heat exchange information, and then determine the utility loss of heat exchange in the heat exchanger unit through the heat exchange energy efficiency and the air specific enthalpy at the air inlet and outlet of the target dehumidifier; An execution module is used to cost-couple the power consumption loss and the utility loss to obtain a switching cost when the target dehumidifier switches to an energy-saving mode, and to perform power configuration on different split dehumidification units when the target dehumidifier switches to an energy-saving mode based on the switching cost.

9. A computer device, comprising a memory and a processor, wherein the memory stores a code, characterized in that: The processor is configured to obtain the code and execute the low-energy consumption operation control method of the dehumidifier according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the low-energy consumption operation control method of the dehumidifier as described in any one of claims 1 to 7 is implemented.

Images