Dynamic energy efficiency management system of high-efficiency inverter compressor

Abstract

The invention discloses a dynamic energy efficiency management system of an efficient inverter compressor, and relates to the technical field of refrigerator energy efficiency management, the system collects visible light images of a monitoring area and working parameters of an evaporator in real time, calculates an airflow circulation coefficient Gcl, an evaporator efficiency coefficient Qa and a water vapor condensation coefficient Ds, and generates an airflow optimization coefficient Gopt. Through comparison with a set efficiency threshold value, the system can automatically judge whether the energy efficiency meets the standard or not, give out an early warning instruction according to an analysis result, adjust parameters such as the rotating speed of an evaporator fan and the refrigerant flow, and optimize the energy efficiency. In addition, the system also calculates a dynamic energy efficiency coefficient according to the water vapor dissipation rate and the frost layer ablation rate, and further evaluates the load index of the compressor. And if overhigh load or unqualified energy efficiency of the compressor is found, the system sends out a second control instruction to adjust the working state of the compressor. The operation efficiency of the compressor is improved, and energy waste is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigerator energy efficiency management, and in particular to a dynamic energy efficiency management system for a high-efficiency variable frequency compressor. Background Art

[0002] As one of the important refrigeration equipment, refrigerators play an irreplaceable role in product storage and preservation. In supermarket refrigerators, multiple evaporators are usually installed to improve refrigeration efficiency and ensure uniform temperature distribution in various areas inside the refrigerator. The operating status of each evaporator will directly affect the overall cooling effect of the refrigerator, and these evaporators are usually adjusted by one or more variable frequency compressors. With the rapid development of commercial supermarkets and cold chain logistics industries,

[0003] Specifically, multiple evaporators may be configured in the freezer, each covering a specific area. These evaporators are connected to the compressor through connecting pipes. The compressor adjusts the operating frequency according to the load changes of the evaporator to achieve dynamic adjustment of the refrigeration capacity. Since the temperature requirements of different areas may be different, the operating efficiency of each evaporator will also vary. In traditional systems, the adjustment of variable frequency compressors is mostly based on the overall load requirements of the freezer, lacking precise control of each evaporator and its area. In addition, due to the blockage of the airflow path or condensation of water vapor in the freezer, the efficiency of the evaporator may be affected, further aggravating energy consumption and the occurrence of failures, resulting in a shortened equipment life. However, in actual applications, the cooling requirements and working conditions of the evaporators in different areas often show significant differences. For example, there may be airflow blockage or water vapor condensation in some areas, resulting in a decrease in the refrigeration efficiency of the evaporator, while the output of the compressor may not be adjusted accordingly. In this case, the energy efficiency of the entire freezer cannot be optimally guaranteed. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a dynamic energy efficiency management system for a high-efficiency variable frequency compressor to solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A dynamic energy efficiency management system for a high-efficiency variable frequency compressor, comprising:

[0006] The data acquisition module is used to divide the refrigerator into several monitoring areas according to one evaporator corresponding to one area, and collect visible light images and working parameters of the evaporators in several monitoring areas in real time, and analyze the blockage of the airflow path and the condensation of water vapor in the refrigerator based on the visible light images to generate a path data set for each monitoring area in the refrigerator;

[0007] The first analysis module is used to combine the regional wind speed V, the working parameters of the corresponding evaporator and the path data set to further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds, and associate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds to generate the airflow optimization coefficient Gopt, preset the first efficiency threshold value X1, and if the airflow optimization coefficient Gopt is lower than the first efficiency threshold value X1, send a first warning instruction to the outside and generate a first control instruction;

[0008] The second analysis module is used to construct the water vapor dissipation rate R in the tth time period after the first control instruction is executed. vapor(t) and frost ablation rate R frost(t) , and associate to obtain the dynamic energy efficiency coefficient Dt in the tth time period (t) , and construct the compressor load index Fz in the tth time period (t) ;

[0009] The dynamic energy efficiency evaluation module is used to preset a second efficiency threshold X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) The compressor load index Fz is lower than the second efficiency threshold value X2 and in the tth time period (t) >1, generate the second control instruction;

[0010] If the dynamic energy efficiency coefficient Dt of the tth time period (t) is higher than or equal to the second efficiency threshold value X2, and the compressor load index Fz in the tth time period (t) ≠1, a third control instruction is generated.

[0011] Preferably, the data acquisition module includes a region division unit, an image acquisition unit, an airflow detection unit and an evaporator data acquisition unit;

[0012] The area division unit is used to divide the freezer into N monitoring areas according to one evaporator corresponding to one area, and mark them as Z1, Z2, ..., Z N ;

[0013] The image acquisition unit is used to acquire visible light images in each monitoring area using a visible light camera;

[0014] The airflow monitoring unit is used to install wind speed sensors in the monitoring area to collect regional wind speed V;

[0015] The evaporator data acquisition unit is used to collect the operating parameters of the corresponding evaporator in the monitoring area, including: the evaporator inlet and outlet temperature difference ΔT evap and evaporator surface humidity Sd;

[0016] Evaporator inlet and outlet temperature difference ΔT evap The calculation formula is: ΔT evap =T out -T in ; Among them, T out Indicates the evaporator outlet temperature, T in Indicates the evaporator air inlet temperature.

[0017] Preferably, the image acquisition unit further includes an image processing unit and an image feature extraction unit;

[0018] The image processing unit is used to perform image enhancement and grayscale processing on the visible light image in each monitoring area to generate a grayscale image, and segment the grayscale image into a frost area, a normal area and a water vapor area through a multi-level threshold segmentation method;

[0019] The image feature extraction unit is used to extract the commodity placement density features, the average gap features between adjacent commodities, the average height features of the vertical gaps between shelves, the regional water vapor condensation features and the regional frost features in each monitoring area of ​​each grayscale image, and obtain the commodity filling rate per unit volume D. vol , Average height of goods stacked between layers D avg , the maximum distance between adjacent products G ap_max , average distance between adjacent products G ap_mean , minimum height between layers D ap_min , Regional frost coverage ratio F rost , Regional water vapor coverage area ratio C rost , Regional water drop density C mm and the average diameter of regional water droplets C zj , establish a path dataset for each monitoring area.

[0020] Preferably, the grayscale processing process is specifically as follows:

[0021] S11. Convert the RGB value in the visible light image to the gray value Gray. The conversion formula is:

[0022] Gray=0.299×R+0.587×G+0.114×B;

[0023] Among them, R, G, and B are the pixel values ​​of the red, green, and blue channels respectively;

[0024] S12, after converting to grayscale value Gray, generating a grayscale image and storing it;

[0025] The grayscale image is segmented into frost area, normal area and water vapor area through multi-level threshold segmentation method, including:

[0026] S21, counting the number of pixels with different gray values ​​in the gray image to obtain a gray histogram, and using Gaussian blur technology to remove noise, and extracting frost layer density and water vapor density, and then using Otsu threshold segmentation method to automatically calculate to obtain frost layer gray threshold T1 and water vapor gray threshold T2;

[0027] S22, and classify the gray value Gray according to the frost gray threshold T1 and the water vapor gray threshold T2:

[0028] When the gray value Gray≤T1, it indicates a water vapor area, because the water vapor condensation area will cause light scattering, and the gray value is low;

[0029] When T1<Gray value Gray≤T2, it indicates a normal area, which is the part without frost and water vapor condensation in the monitoring area;

[0030] When the gray value Gray>T2, it indicates the frost area, the frost reflectivity is high and the gray value is large;

[0031] S23. After classification in S22, edges of the frost layer area and the water vapor area are extracted by using Canny edge detection, and after marking, a marking map is finally generated.

[0032] Preferably, the first analysis module includes a first calculation unit, an association unit and a first evaluation unit. The first calculation unit is used to combine the regional wind speed V, the working parameters of the corresponding evaporator and the path data set, and further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds after dimensionless processing:

[0033] The air circulation coefficient Gcl is calculated by the following formula:

[0034]

[0035] Among them, the meaning of the air circulation coefficient Gcl is: small inter-layer height, high stacking of goods, small adjacent spacing → Gcl decreases; high regional wind speed V helps to improve air circulation efficiency;

[0036] The evaporator efficiency coefficient Qa is calculated by the following formula:

[0037]

[0038] In the formula, Sd max Indicates the maximum allowable humidity, C rost,max Indicates the upper limit of the set water vapor coverage ratio; the evaporator efficiency coefficient Qa means that the inlet and outlet temperature difference is large and the frost layer is small → Qa increases, indicating that the evaporator efficiency is high; high humidity and large frost layer coverage → Qa decreases;

[0039] The water vapor condensation coefficient Ds is calculated by the following formula:

[0040]

[0041] Where V max Indicates the maximum allowable wind speed in the area, ΔT critical Indicates the critical temperature difference for condensation of water vapor;

[0042] The associated unit is used to process the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds dimensionlessly, and generate the airflow optimization coefficient Gopt through the following associated formula:

[0043] Gopt=α×Ds+β×Qa-γ×Ds;

[0044] In the formula, α, β and γ are the weight coefficients of the air circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds respectively;

[0045] The first evaluation unit is used to preset a first efficiency threshold value X1, compare the airflow optimization coefficient Gopt with the first efficiency threshold value X1, and obtain an evaluation result, including:

[0046] If the airflow optimization coefficient Gopt is less than the first efficiency threshold value X1, it indicates that the air circulation and evaporator heat exchange efficiency in the monitoring area are insufficient, and a first warning instruction is issued externally, and a first control instruction is generated simultaneously, including: increasing the speed of the evaporator fan in the current monitoring area by 10%-15%, and synchronously adjusting and increasing the refrigerant circulation volume of the variable frequency compressor by 5%-10%;

[0047] If the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, it means that the air circulation in the monitoring area and the evaporator heat exchange efficiency are qualified, and the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor are maintained.

[0048] Preferably, the second analysis module includes a first acquisition unit and a first analysis unit;

[0049] The first acquisition unit is used to collect the visible light image of the monitoring area again after the first control instruction is executed and obtain the regional frost coverage area ratio F rost and regional water vapor coverage ratio C rost ;

[0050] The first analysis unit is used to obtain the regional frost coverage area ratio F after the first control instruction. rost and regional water vapor coverage ratio C rost , construct the water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frost(t) :

[0051]

[0052] In the formula, F rost(t) Indicates the water vapor coverage ratio of the region before the first control instruction, F rost(t+1) It represents the water vapor coverage ratio of the area after the first control instruction is implemented, F rost(t) Indicates the frost coverage ratio of the area before the first control instruction, F rost(t+1) represents the frost coverage ratio of the region after the first control instruction is implemented, and t represents the time interval;

[0053] The water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frostt) The dynamic energy efficiency coefficient Dt of the tth time period is obtained by associating the following formula: (t) :

[0054] Dt (t) =R vapor(t) +R frost(t) .

[0055] Preferably, the second analysis module further includes a second acquisition unit and a second analysis unit; the second acquisition unit is used to collect the actual refrigerant flow rate of the compressor controlled by the compressor after the first control instruction. The second analysis unit controls the refrigerant flow rate of the actual compressor according to the first control instruction. The compressor load index Fz in the tth time period is calculated by the following formula (t) ;

[0056]

[0057] In the formula, Indicates the actual refrigerant flow rate controlled by the compressor after the first control instruction, h out(t) and h in(t) are the refrigerant enthalpy values ​​at the compressor outlet and inlet after the first control instruction, h rated Indicates the refrigerant enthalpy difference between the rated refrigerant inlet and outlet of the compressor. Indicates the rated maximum refrigerant flow rate of the compressor.

[0058] Preferably, the dynamic energy efficiency evaluation module includes a second evaluation unit and a third evaluation unit;

[0059] The second evaluation unit is used to evaluate the compressor load index Fz in the tth time period. (t) Determine whether there is an overload risk;

[0060] When the compressor load index Fz in the tth time period (t) =1, indicating that the compressor is running at full load;

[0061] When the compressor load index Fz in the tth time period (t) <1, indicating that the compressor has not yet reached the rated load;

[0062] When the compressor load index Fz in the tth time period (t) >1, it means the compressor is overloaded and there is a risk of overload, so a second warning instruction is sent.

[0063] Preferably, the third evaluation unit is used to preset a second efficiency threshold value X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t) Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) If the efficiency is lower than the second efficiency threshold X2, it means that the current compressor energy efficiency is unqualified, and the second control instruction is generated, including: reducing the evaporator fan speed by 6%-12%, reducing the compressor refrigerant flow by 3%-6%, and turning on the manual defrost instruction. After the evaporator runs for 8-12 hours, a routine manual defrost instruction is issued, and the unit volume commodity filling rate D is reduced by 10%-15%. vol , reduce the average height of goods stacked between layers by 8%-12% avg And increase the average distance between adjacent products by 5%-10%;

[0064] If the dynamic energy efficiency coefficient Dt of the tth time period (t) If it is higher than or equal to the second efficiency threshold X2, a third control instruction is generated, including: maintaining the first control instruction until the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, and restoring the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor.

[0065] The present invention provides a dynamic energy efficiency management system for a high-efficiency variable frequency compressor, which has the following beneficial effects:

[0066] (1) This is a dynamic energy efficiency management system for a high-efficiency variable frequency compressor. By collecting the visible light image and evaporator operating parameters of the refrigerator in real time, it uses intelligent analysis methods to detect the blockage of the airflow path and water vapor condensation inside the refrigerator, and accurately evaluates the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds. The system generates the airflow optimization coefficient Gopt based on these parameters, and promptly judges and adjusts the equipment operating status by comparing it with the set first efficiency threshold. This refined dynamic management ensures that the compressor operates within the optimal energy efficiency range, avoids ineffective energy waste, and optimizes the operating efficiency of the compressor.

[0067] (2) This is a dynamic energy efficiency management system for a high-efficiency variable frequency compressor. When the airflow optimization coefficient is lower than the preset first efficiency threshold, the system will automatically issue a first warning instruction to remind external operators to check the operation status of the refrigerator. At the same time, the first control instruction generated by the system will automatically adjust key parameters such as the evaporator fan speed and the refrigerant circulation volume to optimize energy efficiency in a timely manner and prevent the system from being in a low-efficiency state for a long time. This intelligent warning and automatic adjustment mechanism can reduce manual intervention and improve the overall operating efficiency of the refrigerator.

[0068] (3) The dynamic energy efficiency management system of a high-efficiency variable frequency compressor further calculates the water vapor dissipation rate and the frost layer melting rate through the second analysis module, and comprehensively evaluates the compressor operation status by combining the dynamic energy efficiency coefficient and the compressor load index. If it is found that the compressor load index is overloaded and the dynamic energy efficiency coefficient is lower than the set threshold, the system will trigger the second control instruction to adjust the compressor working state in time to avoid overload operation. On the contrary, if the compressor operates normally and has good energy efficiency, the system will continue to maintain the current operating state to ensure that the compressor operates efficiently and stably for a long time and reduce the risk of equipment failure.

[0069] (4) This is a dynamic energy efficiency management system for high-efficiency variable frequency compressors. Through refined dynamic energy efficiency management, the system can ensure that the compressor operates under the optimal load state, avoiding unnecessary energy consumption. Especially when the refrigerator load is light or the airflow is not smooth, the system can automatically adjust the output power of the compressor to maximize the energy utilization efficiency, thereby effectively reducing the electricity cost in supermarkets or cold chain logistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 The present invention is a schematic flow chart of a dynamic energy efficiency management system for a high-efficiency variable frequency compressor. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Example 1

[0073] See also Figure 1 The present invention provides a dynamic energy efficiency management system for a high-efficiency variable frequency compressor, comprising:

[0074] The data acquisition module is used to divide the refrigerator into several monitoring areas according to one evaporator corresponding to one area, and collect visible light images and working parameters of the evaporators in several monitoring areas in real time, and analyze the blockage of the airflow path and the condensation of water vapor in the refrigerator based on the visible light images to generate a path data set for each monitoring area in the refrigerator;

[0075] The first analysis module is used to combine the regional wind speed V, the working parameters of the corresponding evaporator and the path data set to further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds, and associate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds to generate the airflow optimization coefficient Gopt, preset the first efficiency threshold value X1, and if the airflow optimization coefficient Gopt is lower than the first efficiency threshold value X1, send a first warning instruction to the outside and generate a first control instruction;

[0076] The second analysis module is used to construct the water vapor dissipation rate R in the tth time period after the first control instruction is executed. vapor(t) and frost ablation rate R frost(t) , and associate to obtain the dynamic energy efficiency coefficient Dt in the tth time period (t) , and construct the compressor load index Fz in the tth time period (t) ;

[0077] The dynamic energy efficiency evaluation module is used to preset a second efficiency threshold X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t) Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) The compressor load index Fz is lower than the second efficiency threshold value X2 and in the tth time period (t) >1, generate the second control instruction;

[0078] If the dynamic energy efficiency coefficient Dt of the tth time period (t) is higher than or equal to the second efficiency threshold value X2, and the compressor load index Fz in the tth time period (t) ≠1, a third control instruction is generated.

[0079] In this embodiment, by dividing the refrigerator into multiple monitoring areas, each evaporator corresponds to a specific area, and combining visible light images and working parameter analysis, the status information of each area can be obtained in real time, and the air circulation coefficient Gcl, evaporator efficiency coefficient Qa and water vapor condensation coefficient Ds can be accurately calculated. This precise real-time monitoring enables the variable frequency compressor to be dynamically adjusted in each area according to actual needs, effectively avoiding unnecessary energy waste.

[0080] The system can automatically calculate the airflow optimization coefficient Gopt based on real-time data, and automatically trigger warning and control instructions when it finds that the energy efficiency is lower than the first efficiency threshold X1. This automated warning and adjustment mechanism reduces the need for manual intervention, reduces management costs, and promptly avoids equipment damage and excessive energy consumption caused by efficiency issues.

[0081] By optimizing the working state of the evaporator and ensuring that each evaporator operates at the best working efficiency, the overall energy efficiency level of the refrigerator is significantly improved. In particular, for areas with airflow blockage or water vapor condensation, the system can promptly detect and perform targeted optimization to avoid the energy efficiency decline in local areas affecting the performance of the overall refrigerator.

[0082] By precisely adjusting the operating parameters of each evaporator in the freezer to avoid equipment damage caused by unstable operation or overload, the system can effectively extend the service life of the freezer and compressor. In addition, timely handling of water vapor condensation and frost problems can help reduce the decline in evaporator efficiency and frequent compressor starts and stops caused by frost accumulation, thereby reducing equipment failure rates.

[0083] Through refined dynamic energy efficiency management, the system can ensure that the compressor operates under the optimal load state, avoiding unnecessary energy consumption. Especially when the refrigerator load is light or the airflow is not smooth, the system can automatically adjust the output power of the compressor to maximize energy efficiency, thereby effectively reducing the electricity cost in supermarkets or cold chain logistics.

[0084] Example 2

[0085] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically, the data acquisition module includes a region division unit, an image acquisition unit, an air flow detection unit and an evaporator data acquisition unit;

[0086] The area division unit is used to divide the freezer into N monitoring areas according to one evaporator corresponding to one area, and mark them as Z1, Z2, ..., ZN;

[0087] The image acquisition unit is used to acquire visible light images in each monitoring area using a visible light camera;

[0088] The airflow monitoring unit is used to install wind speed sensors in the monitoring area to collect regional wind speed V;

[0089] The evaporator data acquisition unit is used to collect the operating parameters of the corresponding evaporator in the monitoring area, including: the evaporator inlet and outlet temperature difference ΔT evap and evaporator surface humidity Sd;

[0090] Evaporator inlet and outlet temperature difference ΔT evapThe calculation formula is: ΔT evap =T out -T in ; Among them, T out Indicates the evaporator outlet temperature, T in Indicates the evaporator air inlet temperature.

[0091] The evaporator inlet and outlet temperature difference refers to the difference between the gas temperature at the evaporator inlet and the gas temperature at the outlet. This temperature difference reflects the working efficiency of the evaporator and is usually used to evaluate the refrigeration capacity of the evaporator. Too large a temperature difference may mean that the evaporator is unstable or frosted, affecting the refrigeration efficiency. Install temperature sensors at the air inlet and outlet of the evaporator to monitor the temperature of the air flow in real time. Install a humidity sensor on the evaporator surface, especially in the area close to the heat exchange surface to collect the evaporator surface humidity Sd;

[0092] In this embodiment, the area division unit divides the refrigerator into a plurality of independent monitoring areas, each area corresponding to an evaporator, so as to realize accurate monitoring of each area inside the refrigerator. By subdividing the refrigerator into N monitoring areas, it is possible to better adapt to the temperature requirements and working environment of different areas, and avoid the problem of uneven regional temperature in traditional refrigerators. The image acquisition unit uses a visible light camera to take real-time photos of each monitoring area to obtain detailed internal image information of the refrigerator. The image is not only used to analyze the airflow path and water vapor condensation, but also to provide auxiliary information to judge the smoothness of the airflow and the working state of the evaporator. The image data combined with other working parameters helps to more accurately evaluate the operating state of the refrigerator. The evaporator data acquisition unit monitors and records the working parameters of the evaporator in each monitoring area in real time, especially the inlet and outlet temperature difference and surface humidity. These two indicators directly reflect the working efficiency of the evaporator. By accurately calculating the inlet and outlet temperature difference, the performance fluctuation of the evaporator can be identified in time, and it can be judged whether it is frosted or the efficiency is reduced, which provides a basis for further optimizing energy efficiency.

[0093] Example 3

[0094] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically, the image acquisition unit also includes an image processing unit and an image feature extraction unit;

[0095] The image processing unit is used to perform image enhancement and grayscale processing on the visible light image in each monitoring area to generate a grayscale image, and segment the grayscale image into a frost area, a normal area and a water vapor area through a multi-level threshold segmentation method;

[0096] Water vapor content is an indirect indicator. If the temperature of a certain area inside the refrigerator is too high (such as due to airflow blockage), the water vapor in the air cannot condense or be absorbed in time, and the water vapor content may be high;

[0097] The image feature extraction unit is used to extract the commodity placement density features, the average gap features between adjacent commodities, the average height features of the vertical gaps between shelves, the regional water vapor condensation features and the regional frost features in each monitoring area of ​​each grayscale image, and obtain the commodity filling rate per unit volume D. vol , Average height of goods stacked between layers D avg , the maximum distance between adjacent products G ap_max , average distance between adjacent products G ap_mean , minimum height between layers D ap_min , Regional frost coverage ratio F rost , Regional water vapor coverage area ratio C rost , Regional water drop density C mm and the average diameter of regional water droplets C zj , establish a path dataset for each monitoring area.

[0098] In this embodiment, the image acquisition unit, combined with image processing and image feature extraction technology, provides a comprehensive and accurate monitoring means for the working state inside the refrigerator. By real-time acquisition and processing of visible light images of the monitoring area, and graying and multi-level threshold segmentation, the system can automatically identify and distinguish different working areas (such as frost area, normal area and water vapor area). This process provides accurate data support for the dynamic energy efficiency management of the refrigerator. By enhancing, graying and threshold segmenting the image by the image processing unit, the frost layer and water vapor area inside the refrigerator can be accurately distinguished. The appearance of the frost layer directly affects the efficiency of the evaporator, and the excessive accumulation of water vapor is usually related to airflow blockage or high temperature. This automatic detection function provides key early warning information for the operation and maintenance of the refrigerator, and can identify and locate the problem area in advance. By extracting information such as the density of commodity placement, commodity gap, height features, etc. in the image, the impact of the commodity layout inside the refrigerator on the flow of cold air can be accurately evaluated. These features can help the system understand the commodity density, stacking situation and space utilization of each monitoring area, and then optimize the cold air flow path, reduce energy consumption, and improve cooling efficiency. In particular, monitoring of indicators such as the distance between products and the height between layers can ensure smooth airflow in the refrigerator and avoid airflow blockage and abnormal temperature.

[0099] Example 4

[0100] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically, the grayscale processing process is as follows:

[0101] S11. Convert the RGB value in the visible light image to the gray value Gray. The conversion formula is:

[0102] Gray=0.299×R+0.587×G+0.114×B;

[0103] Among them, R, G, and B are the pixel values ​​of the red, green, and blue channels respectively;

[0104] S12, after converting to grayscale value Gray, generating a grayscale image and storing it;

[0105] The grayscale image is segmented into frost area, normal area and water vapor area through multi-level threshold segmentation method, including:

[0106] S21, counting the number of pixels with different gray values ​​in the gray image to obtain a gray histogram, and using Gaussian blur technology to remove noise, and extracting frost layer density and water vapor density, and then using Otsu threshold segmentation method to automatically calculate to obtain frost layer gray threshold T1 and water vapor gray threshold T2;

[0107] S22, and classify the gray value Gray according to the frost gray threshold T1 and the water vapor gray threshold T2:

[0108] When the gray value Gray≤T1, it indicates a water vapor area, because the water vapor condensation area will cause light scattering, and the gray value is low;

[0109] When T1<gray value Gray≤T2, it indicates a normal area, which is the part of the monitoring area without frost and water vapor condensation;

[0110] When the gray value Gray>T2, it indicates the frost area, the frost reflectivity is high and the gray value is large;

[0111] S23. After classification in S22, edges of the frost layer area and the water vapor area are extracted by using Canny edge detection, and after marking, a marking map is finally generated.

[0112] In this embodiment, by converting the visible light image into a grayscale image, the color information that needs to be paid attention to during processing is reduced, and the subsequent image analysis process is simplified. Grayscale processing effectively removes color interference, making the difference between the frost layer, water vapor and normal area in the image more obvious, which is convenient for subsequent processing. Using the multi-level threshold segmentation method, combined with the automatic calculation of the Otsu threshold, the image can be accurately divided into a frost layer area, a normal area and a water vapor area. In this way, the system can automatically identify different working states without manual intervention, thereby improving the degree of automation and accuracy of the processing. After removing noise through Gaussian blur technology, the interference of background noise on the segmentation result can be effectively avoided, and the accurate extraction of frost layer density and water vapor density can be ensured. This helps to better identify the problem area in the refrigerator and promptly discover potential problems such as frost accumulation and water vapor condensation. Canny edge detection further extracts the edges of the frost layer and water vapor area, and can more accurately locate the boundaries of the problem area. This not only helps the system to more accurately evaluate the frost layer and water vapor situation in the refrigerator, but also provides a more detailed basis for subsequent dynamic energy efficiency management and control strategies.

[0113] Example 5

[0114] This embodiment is explained in Example 1, please refer to Figure 1 Specifically, the first analysis module includes a first calculation unit, an association unit and a first evaluation unit. The first calculation unit is used to combine the regional wind speed V, the corresponding evaporator working parameters and the path data set, and further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds after dimensionless processing:

[0115] The air circulation coefficient Gcl is calculated by the following formula:

[0116]

[0117] Among them, the meaning of the air circulation coefficient Gcl is: small inter-layer height, high stacking of goods, small adjacent spacing → Gcl decreases; high regional wind speed V helps to improve air circulation efficiency;

[0118] The evaporator efficiency coefficient Qa is calculated by the following formula:

[0119]

[0120] In the formula, Sd max Indicates the maximum allowable humidity, C rost,max Indicates the upper limit of the set water vapor coverage ratio; the evaporator efficiency coefficient Qa means that the inlet and outlet temperature difference is large and the frost layer is small → Qa increases, indicating that the evaporator efficiency is high; high humidity and large frost layer coverage → Qa decreases;

[0121] The water vapor condensation coefficient Ds is calculated by the following formula:

[0122]

[0123] Where V max Indicates the maximum allowable wind speed in the area, ΔT critical Indicates the critical temperature difference for condensation of water vapor;

[0124] The associated unit is used to process the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds dimensionlessly, and generate the airflow optimization coefficient Gopt through the following associated formula:

[0125] Gopt=α×Ds+β×Qa-γ×Ds;

[0126] Wherein, α, β and γ are weight coefficients of air circulation coefficient Gcl, evaporator efficiency coefficient Qa and water vapor condensation coefficient Ds respectively; and α>1, β>1, γ>1, α+β+γ=1; the value of the weight coefficient is adjusted and set by the user according to the actual parameters of the refrigerator.

[0127] The first evaluation unit is used to preset a first efficiency threshold value X1, compare the airflow optimization coefficient Gopt with the first efficiency threshold value X1, and obtain an evaluation result, including:

[0128] If the airflow optimization coefficient Gopt is less than the first efficiency threshold value X1, it indicates that the air circulation and evaporator heat exchange efficiency in the monitoring area are insufficient, and a first warning instruction is issued externally, and a first control instruction is generated simultaneously, including: increasing the speed of the evaporator fan in the current monitoring area by 10%-15%, and synchronously adjusting and increasing the refrigerant circulation volume of the variable frequency compressor by 5%-10%;

[0129] If the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, it means that the air circulation in the monitoring area and the evaporator heat exchange efficiency are qualified, and the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor are maintained.

[0130] In this embodiment, by combining the regional wind speed, evaporator operating parameters and path data sets, the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds are calculated, and the air circulation, evaporator working efficiency and water vapor condensation conditions inside the refrigerator can be comprehensively evaluated. This comprehensive analysis allows the operating status of the refrigerator to be more accurately grasped, which helps to optimize the management of the equipment. The first analysis module can compare the airflow optimization coefficient Gopt calculated in real time with the preset efficiency threshold X1, and promptly find the area of ​​inefficient operation and issue an early warning. In this way, the system can take action before the problem occurs to avoid the long-term impact of the poor working state on the performance and energy efficiency of the equipment. When the airflow optimization coefficient is lower than the preset efficiency threshold, the system automatically generates a control instruction to increase the evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor. This precise adjustment can effectively improve the efficiency of the refrigerator operation, ensure that the refrigerator works in the optimal state, and reduce unnecessary energy waste. By continuously optimizing the evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor, it is ensured that each area of ​​the refrigerator maintains an efficient and stable refrigeration effect. This move can not only improve the overall energy efficiency of the refrigerator, but also extend the service life of the equipment and reduce failure and maintenance costs.

[0131] Example 6

[0132] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically, the second analysis module includes a first acquisition unit and a first analysis unit;

[0133] The first acquisition unit is used to collect the visible light image of the monitoring area again after the first control instruction is executed and obtain the regional frost coverage area ratio F rost and regional water vapor coverage ratio C rost ;

[0134] The first analysis unit is used to obtain the regional frost coverage area ratio F after the first control instruction. rost and regional water vapor coverage ratio C rost , construct the water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frost(t) :

[0135]

[0136] In the formula, F rost(t) Indicates the water vapor coverage ratio of the region before the first control instruction, F rost(t+1) It represents the water vapor coverage ratio of the area after the first control instruction is implemented, F rost(t) Indicates the frost coverage ratio of the area before the first control instruction, F rost(t+1)represents the frost coverage ratio of the region after the first control instruction is implemented, and t represents the time interval;

[0137] The water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frost(t) The dynamic energy efficiency coefficient Dt of the tth time period is obtained by associating the following formula: (t) :

[0138] Dt (t) =R vapor(t) +R frost(t) .

[0139] In this embodiment, the second analysis module calculates the water vapor dissipation rate and the frost layer melting rate based on the monitoring data (such as the frost layer coverage area ratio and the water vapor coverage area ratio) after the first control instruction is executed, thereby dynamically evaluating the energy efficiency status of the refrigerator. This dynamic adjustment based on the time period can timely reflect the working efficiency and energy efficiency changes of the refrigerator to ensure that it operates in the best state. The rate of frost layer melting and water vapor dissipation can be quantified by the changes in the monitoring data after the execution of the first control instruction. If the dissipation rate is low, it means that there is a potential airflow problem or evaporator efficiency problem in the refrigerator. Through this evaluation, the system can quickly discover and solve the problem and improve the operating efficiency of the equipment.

[0140] Example 7

[0141] This embodiment is explained in Example 1, please refer to Figure 1 Specifically, the second analysis module also includes a second acquisition unit and a second analysis unit; the second acquisition unit is used to collect the actual compressor control refrigerant flow rate of the compressor after the first control instruction The second analysis unit controls the refrigerant flow rate of the actual compressor according to the first control instruction. The compressor load index Fz in the tth time period is calculated by the following formula (t) ;

[0142]

[0143] In the formula, Indicates the actual refrigerant flow rate controlled by the compressor after the first control instruction, h out(t) and h in(t) are the refrigerant enthalpy values ​​at the compressor outlet and inlet after the first control instruction, h rated Indicates the refrigerant enthalpy difference between the rated refrigerant inlet and outlet of the compressor. Indicates the rated maximum refrigerant flow rate of the compressor.

[0144] In this embodiment, the second analysis module can accurately calculate the load index of the compressor in the tth time period by collecting and analyzing the actual refrigerant flow data of the compressor, combined with the refrigerant enthalpy values ​​at the outlet and inlet of the compressor. This evaluation can reflect the working status of the compressor in real time and help determine whether it is operating within a reasonable load range. By monitoring the actual refrigerant flow of the compressor, the system can dynamically adjust the refrigerant flow according to the real-time needs of the refrigerator to avoid energy efficiency loss or equipment overload caused by too high or too low refrigerant flow. This can ensure that the system always operates at the optimal refrigerant flow and improve overall energy efficiency.

[0145] Example 8

[0146] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically, the dynamic energy efficiency evaluation module includes a second evaluation unit and a third evaluation unit;

[0147] The second evaluation unit is used to evaluate the compressor load index Fz in the tth time period. (t) Determine whether there is an overload risk;

[0148] When the compressor load index Fz in the tth time period (t) =1, indicating that the compressor is running at full load;

[0149] When the compressor load index Fz in the tth time period (t) <1, indicating that the compressor has not yet reached the rated load;

[0150] When the compressor load index Fz in the tth time period (t) >1, it means the compressor is overloaded and there is a risk of overload, so a second warning instruction is sent.

[0151] The third evaluation unit is used to preset a second efficiency threshold value X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t) Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) If the efficiency is lower than the second efficiency threshold X2, it means that the current compressor energy efficiency is unqualified, and the second control instruction is generated, including: reducing the evaporator fan speed by 6%-12%, reducing the compressor refrigerant flow by 3%-6%, and turning on the manual defrost instruction. After the evaporator runs for 8-12 hours, a routine manual defrost instruction is issued, and the unit volume commodity filling rate D is reduced by 10%-15%. vol , reduce the average height of goods stacked between layers by 8%-12% avg And increase the average distance between adjacent products by 5%-10%;

[0152] If the dynamic energy efficiency coefficient Dt of the tth time period (t)If it is higher than or equal to the second efficiency threshold X2, a third control instruction is generated, including: maintaining the first control instruction until the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, and restoring the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor.

[0153] In this embodiment, the second evaluation unit can monitor the operating state of the compressor in real time by judging the compressor load index in the tth time period to ensure that it does not exceed the predetermined load range. Whether it is running at full load, not yet reaching the rated load, or overloaded, the system can identify and respond in time. The third evaluation unit can accurately judge the energy efficiency state of the current system by setting the second efficiency threshold X2 and comparing the dynamic energy efficiency coefficient. When the dynamic energy efficiency coefficient is lower than the threshold, the system will automatically adjust various parameters to optimize energy efficiency and ensure that the refrigerator operates in the optimal efficiency range. When the system detects that the energy efficiency is unqualified (that is, the dynamic energy efficiency coefficient is lower than X2), it automatically generates a second control instruction, automatically adjusts the evaporator fan speed, the compressor refrigerant flow, and starts the manual defrost program. Through these operations, the overall energy efficiency and cooling effect of the system can be effectively improved, excessive reliance on manual intervention can be avoided, and the intelligence level of the system can be improved. By executing the manual defrost instruction and controlling parameters such as the evaporator and refrigerant flow, the third evaluation unit helps to prevent frost accumulation and water vapor condensation, and maintain the temperature control accuracy and air flow in the refrigerator. This control helps improve the cooling effect and avoid energy efficiency loss caused by frost or water vapor problems. By adjusting the control instructions in a timely manner, it avoids equipment overload or frequent maintenance due to unqualified energy efficiency, and reduces long-term wear and tear of the equipment. This can effectively extend the service life of the equipment, reduce maintenance costs, and optimize the return on equipment investment.

[0154] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0155] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor, characterized in that: include: The data acquisition module is used to divide the refrigerator into several monitoring areas according to one evaporator corresponding to one area, and collect visible light images and working parameters of the evaporators in several monitoring areas in real time, and analyze the blockage of the airflow path and the condensation of water vapor in the refrigerator based on the visible light images to generate a path data set for each monitoring area in the refrigerator; The first analysis module is used to combine the regional wind speed V, the working parameters of the corresponding evaporator and the path data set to further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds, and associate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds to generate the airflow optimization coefficient Gopt, preset the first efficiency threshold value X1, and if the airflow optimization coefficient Gopt is lower than the first efficiency threshold value X1, send a first warning instruction to the outside and generate a first control instruction; The second analysis module is used to construct the water vapor dissipation rate R in the tth time period after the first control instruction is executed. vapor(t) and frost ablation rate R frost(t) , and associate to obtain the dynamic energy efficiency coefficient Dt in the tth time period (t) , and construct the compressor load index Fz in the tth time period (t) ; The dynamic energy efficiency evaluation module is used to preset a second efficiency threshold X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t) Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) The compressor load index Fz is lower than the second efficiency threshold value X2 and in the tth time period (t) >1, generate the second control instruction; If the dynamic energy efficiency coefficient Dt of the tth time period (t) is higher than or equal to the second efficiency threshold value X2, and the compressor load index Fz in the tth time period (t) ≠1, a third control instruction is generated.

2. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 1, characterized in that: The data acquisition module includes a region division unit, an image acquisition unit, an airflow detection unit and an evaporator data acquisition unit; The area division unit is used to divide the freezer into N monitoring areas according to one evaporator corresponding to one area, and mark them as Z1, Z2, ..., Z N ; The image acquisition unit is used to acquire visible light images in each monitoring area using a visible light camera; The airflow monitoring unit is used to install a wind speed sensor in the monitoring area to collect the regional wind speed V; The evaporator data acquisition unit is used to collect the operating parameters of the corresponding evaporator in the monitoring area, including: the evaporator inlet and outlet temperature difference ΔT evap and evaporator surface humidity Sd; Evaporator inlet and outlet temperature difference ΔT evap The calculation formula is: ΔT evap =T out -T in ; Among them, T out Indicates the evaporator outlet temperature, T in Indicates the evaporator air inlet temperature.

3. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 2, characterized in that: The image acquisition unit also includes an image processing unit and an image feature extraction unit; The image processing unit is used to perform image enhancement and grayscale processing on the visible light image in each monitoring area to generate a grayscale image, and to segment the grayscale image into a frost area, a normal area and a water vapor area through a multi-level threshold segmentation method; The image feature extraction unit is used to extract the commodity placement density characteristics, the average gap characteristics of adjacent commodities, the average height characteristics of the vertical gap between shelf layers, the regional water vapor condensation characteristics and the regional frost characteristics of each monitoring area in each grayscale image, and obtain the unit volume commodity filling rate D vol , Average height of goods stacked between layers D avg , the maximum distance between adjacent products G ap_max , average distance between adjacent products G ap_mean , minimum height between layers D ap_min , Regional frost coverage ratio F rost , Regional water vapor coverage area ratio C rost , Regional water drop density C mm and the average diameter of regional water droplets C zj , establish a path dataset for each monitoring area.

4. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 3, characterized in that: The grayscale processing process is specifically as follows: S11. Convert the RGB value in the visible light image to the gray value Gray. The conversion formula is: Gray=0.299×R+0.587×G+0.114×B; Among them, R, G, and B are the pixel values ​​of the red, green, and blue channels respectively; S12, after converting to grayscale value Gray, generating a grayscale image and storing it; The grayscale image is segmented into frost area, normal area and water vapor area through multi-level threshold segmentation method, including: S21, counting the number of pixels with different gray values ​​in the gray image to obtain a gray histogram, and using Gaussian blur technology to remove noise, and extracting frost layer density and water vapor density, and then using Otsu threshold segmentation method to automatically calculate to obtain frost layer gray threshold T1 and water vapor gray threshold T2; S22, and classify the gray value Gray according to the frost gray threshold T1 and the water vapor gray threshold T2: When the gray value Gray≤T1, it indicates the water vapor area; When T1<gray value Gray≤T2, it indicates a normal area, which is the part of the monitoring area without frost and water vapor condensation; When the gray value Gray>T2, it indicates the frost area; S23. After classification in S22, edges of the frost layer area and the water vapor area are extracted by using Canny edge detection, and after marking, a marking map is finally generated.

5. The dynamic energy efficiency management system of a high-efficiency variable frequency compressor according to claim 3, characterized in that: The first analysis module includes a first calculation unit, an association unit and a first evaluation unit. The first calculation unit is used to combine the regional wind speed V, the working parameters of the corresponding evaporator and the path data set, and further calculate the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds after dimensionless processing: The airflow circulation coefficient Gcl is calculated by the following formula: The evaporator efficiency coefficient Qa is calculated by the following formula: In the formula, Sd max Indicates the maximum allowable humidity, C rost,max Indicates the set upper limit of water vapor coverage ratio; The water vapor condensation coefficient Ds is calculated by the following formula: Where V max Indicates the maximum allowable wind speed in the area, ΔT critical Indicates the critical temperature difference for condensation of water vapor; The correlation unit is used to generate the airflow optimization coefficient Gopt through the following correlation formula after dimensionless processing of the airflow circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds: Gopt=α×Ds+β×Qa-γ×Ds; In the formula, α, β and γ are the weight coefficients of the air circulation coefficient Gcl, the evaporator efficiency coefficient Qa and the water vapor condensation coefficient Ds respectively; The first evaluation unit is used to preset a first efficiency threshold value X1, compare the airflow optimization coefficient Gopt with the first efficiency threshold value X1, and obtain an evaluation result, including: If the airflow optimization coefficient Gopt is less than the first efficiency threshold value X1, it indicates that the air circulation and evaporator heat exchange efficiency in the monitoring area are insufficient, and a first warning instruction is issued externally, and a first control instruction is generated simultaneously, including: increasing the speed of the evaporator fan in the current monitoring area by 10%-15%, and synchronously adjusting and increasing the refrigerant circulation volume of the variable frequency compressor by 5%-10%; If the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, it means that the air circulation in the monitoring area and the evaporator heat exchange efficiency are qualified, and the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor are maintained.

6. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 1, characterized in that: The second analysis module includes a first acquisition unit and a first analysis unit; The first acquisition unit is used to collect the visible light image of the monitoring area again after the first control instruction is executed and obtain the regional frost coverage area ratio F rost and regional water vapor coverage ratio C rost ; The first analysis unit is used to obtain the regional frost coverage area ratio F after the first control instruction. rost and regional water vapor coverage ratio C rost , construct the water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frost(t) : In the formula, F rost(t) Indicates the water vapor coverage ratio of the region before the first control instruction, F rost(t+1) It represents the water vapor coverage ratio of the area after the first control instruction is implemented, F rost(t) Indicates the frost coverage ratio of the area before the first control instruction, F rost(t+1) represents the frost coverage ratio of the region after the first control instruction is implemented, and t represents the time interval; The water vapor dissipation rate R in the tth time period vapor(t) and frost ablation rate R frost(t) The dynamic energy efficiency coefficient Dt of the tth time period is obtained by associating the following formula: (t) : Dt (t) =R vapor(t) +R frost(t) 。 7. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 6, characterized in that: The second analysis module also includes a second acquisition unit and a second analysis unit; the second acquisition unit is used to collect the actual compressor control refrigerant flow rate after the first control instruction The second analysis unit controls the refrigerant flow rate of the actual compressor according to the first control instruction. The compressor load index Fz in the tth time period is calculated by the following formula (t) ; In the formula, Indicates the actual refrigerant flow rate controlled by the compressor after the first control instruction, h out(t) and h in(t) are the refrigerant enthalpy values ​​at the compressor outlet and inlet after the first control instruction, h rated Indicates the refrigerant enthalpy difference between the rated refrigerant inlet and outlet of the compressor, M` rated Indicates the rated maximum refrigerant flow rate of the compressor.

8. The dynamic energy efficiency management system of a high-efficiency variable frequency compressor according to claim 1, characterized in that: The dynamic energy efficiency evaluation module includes a second evaluation unit and a third evaluation unit; The second evaluation unit is used to evaluate the compressor load index Fz in the tth time period. (t) Determine whether there is an overload risk; When the compressor load index Fz in the tth time period (t) =1, indicating that the compressor is running at full load; When the compressor load index Fz in the tth time period (t) <1, indicating that the compressor has not yet reached the rated load; When the compressor load index Fz in the tth time period (t) >1, it means the compressor is overloaded and there is a risk of overload, so a second warning instruction is sent.

9. A dynamic energy efficiency management system for a high-efficiency variable frequency compressor according to claim 8, characterized in that: The third evaluation unit is used to preset a second efficiency threshold value X2 and calculate the dynamic energy efficiency coefficient Dt of the tth time period. (t) Compared with the second efficiency threshold X2, if the dynamic energy efficiency coefficient Dt of the tth time period (t) If the efficiency is lower than the second efficiency threshold X2, it means that the current compressor energy efficiency is unqualified, and the second control instruction is generated, including: reducing the evaporator fan speed by 6%-12%, reducing the compressor refrigerant flow by 3%-6%, and turning on the manual defrost instruction. After the evaporator runs for 8-12 hours, a routine manual defrost instruction is issued, and the unit volume commodity filling rate D is reduced by 10%-15%. vol , reduce the average height of goods stacked between layers by 8%-12% avg And increase the average distance between adjacent products by 5%-10%; If the dynamic energy efficiency coefficient Dt of the tth time period (t) If it is higher than or equal to the second efficiency threshold X2, a third control instruction is generated, including: maintaining the first control instruction until the airflow optimization coefficient Gopt ≥ the first efficiency threshold X1, and restoring the initial evaporator fan speed and the refrigerant circulation volume of the variable frequency compressor.

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