Method for determining energy efficiency classification of refrigeration room systems based on average wet-bulb temperature

Abstract

The present application relates to a method, device, computer equipment and storage medium for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature. The above method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature, after obtaining the average wet-bulb temperature value of each city included in the current thermal zone in its respective cooling season, calculates the energy efficiency ratio value of the refrigeration room system corresponding to different levels of each city based on the environmental information of each city in its respective cooling season, and then divides the current thermal zone into regions based on the energy efficiency ratio value of the refrigeration room system corresponding to each of the cities, obtaining at least two target sub-regions; and determines the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-region. The above method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature realizes the division of each thermal zone into multiple target sub-regions. It improves the rationality and accuracy of the energy efficiency rating evaluation of the refrigeration room system.

Description

Technical Field

[0001] The present application relates to the technical field of central air-conditioning energy conservation, and in particular to a method for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature. Background Art

[0002] With the continuous development of high-efficiency refrigeration room systems, the evaluation of high-efficiency refrigeration room systems has also become a focus of industry attention. However, there is currently no unified standard for energy efficiency grading and evaluation of high-efficiency refrigeration room systems applicable nationwide.

[0003] my country has a vast territory, with vastly different meteorological conditions across different regions. To ensure the applicability and rationality of the proposed energy efficiency indicators for refrigeration room systems across different cities nationwide, it is necessary to conduct a grading and zoning study on the energy efficiency of refrigeration room systems. To improve the energy efficiency of building energy systems and reduce building energy consumption, the "Energy Conservation Standard for Public Buildings" (GB50189-2015) has established zoning requirements for building envelope thermal performance and air conditioning system energy efficiency in each building thermal zone. These factors all affect the energy efficiency of refrigeration room systems, so the grading and evaluation of refrigeration room energy efficiency should be based on building thermal zones.

[0004] However, the thermal zone area of ​​each building is very large, and the current energy efficiency grading evaluation of the refrigeration room system is not reasonable and accurate. Summary of the Invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for determining the energy efficiency grading of a refrigeration room system based on the average wet-bulb temperature, which can improve the rationality and accuracy of the energy efficiency grading evaluation of the refrigeration room system in response to the above technical problems.

[0006] In a first aspect, a method for determining an energy efficiency rating of a refrigeration room system based on average wet-bulb temperature is provided, the method comprising:

[0007] Get the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season;

[0008] Calculating energy efficiency ratio values ​​of refrigeration room systems of different levels corresponding to each city based on environmental information of each city during its respective cooling season; the environmental information includes at least one of wet-bulb temperature distribution, climate conditions, building volume, and building type;

[0009] Divide the current thermal zone into regions according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities to obtain at least two target sub-regions;

[0010] Determine the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-area.

[0011] In one embodiment, the current thermal zone is divided into regions according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities to obtain at least two target sub-regions, including:

[0012] Divide the current thermal zone into preset areas to obtain at least two preset sub-areas; each preset sub-area includes a refrigeration room system corresponding to at least one preset city;

[0013] Determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area according to the energy efficiency ratio value of the refrigeration room system corresponding to each city;

[0014] At least two target sub-areas within the current thermal zone are determined according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold.

[0015] In one embodiment, determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area according to the energy efficiency ratio value of the refrigeration room system corresponding to each city includes:

[0016] The ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area to the energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in each preset sub-area is determined as the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area.

[0017] In one embodiment, determining at least two target sub-areas within the current thermal zone based on the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold includes:

[0018] The first preset sub-area among all preset sub-areas is used as the current preset sub-area;

[0019] Traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area in sequence, and determining whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to the preset deviation rate threshold;

[0020] If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, then the next preset sub-area in all the preset sub-areas is used as the current preset sub-area, and the step of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area is returned to execution until the refrigeration room systems corresponding to each preset city in all the preset sub-areas are traversed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each of the target sub-areas is less than or equal to the preset deviation rate threshold;

[0021] If, in the process of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area, a refrigeration room system corresponding to a preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold is traversed, the current thermal zone is re-divided into preset areas to obtain at least two new preset sub-areas, and the process returns to execute the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0022] In one embodiment, determining the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-region includes:

[0023] The energy efficiency level of the refrigeration room system corresponding to each city included in each target sub-area is divided into four levels: level 3, level 2, level 1 and leading level;

[0024] According to the average wet-bulb temperature value of the refrigeration room system corresponding to each city included in each target sub-area, the energy efficiency index of the refrigeration room system corresponding to each city included in each target sub-area at the third, second, first and leading levels is determined.

[0025] In one embodiment, determining the energy efficiency ratio value of the refrigeration room system corresponding to each city according to the environmental information of each city in its respective cooling season includes:

[0026] Determining the cooling capacity of the refrigeration room systems corresponding to the cities in their respective cooling seasons based on the environmental information of the cities in their respective cooling seasons;

[0027] The energy efficiency ratio value of the refrigeration room system corresponding to each city is determined according to the cooling capacity of the refrigeration room system corresponding to each city in the respective cooling season and the electricity consumption of the refrigeration room system corresponding to each city in the respective cooling season.

[0028] In one embodiment, the environmental information includes wet-bulb temperature distribution, and obtaining the environmental information of each city included in the current thermal zone in its respective cooling season includes:

[0029] Send data acquisition request to the meteorological data platform;

[0030] Receive the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season, which is returned by the meteorological data platform according to the data acquisition request.

[0031] In a second aspect, a device for determining an energy efficiency rating of a refrigeration room system based on average wet-bulb temperature is provided, the device comprising:

[0032] The acquisition module is used to obtain the average wet-bulb temperature value of each city included in the current thermal zone in its respective cooling season;

[0033] a calculation module configured to calculate energy efficiency ratio values ​​of refrigeration room systems of different levels corresponding to each of the cities based on environmental information of the cities during their respective cooling seasons; the environmental information comprising at least one of wet-bulb temperature distribution, climate conditions, building volume, and building type;

[0034] The grading module is used to determine the energy efficiency grading of the refrigeration room system corresponding to each city included in each target sub-area.

[0035] A third aspect: A computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

[0036] A fourth aspect: A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

[0037] The above-mentioned method for determining the energy efficiency rating of a refrigeration room system based on average wet-bulb temperature obtains the average wet-bulb temperature values ​​for each city included in the current thermal zone during its respective cooling season. Based on the environmental information of each city during its respective cooling season, the energy efficiency ratio values ​​of the refrigeration room systems corresponding to different grades in each city are calculated. The current thermal zone is then divided into at least two target sub-zones based on the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities. The energy efficiency rating of the refrigeration room systems corresponding to each of the target sub-zones is then determined. The environmental information includes at least one of wet-bulb temperature distribution, climate conditions, building volume, and building type. The above-mentioned method for determining the energy efficiency rating of a refrigeration room system based on average wet-bulb temperature obtains meteorological parameters for each city included in the current thermal zone, calculates loads based on building type, and uses energy efficiency ratio values ​​to divide each thermal zone into multiple target sub-zones. This method overcomes the problem of unreasonable and inaccurate energy efficiency rating evaluation of refrigeration room systems caused by overly large thermal zones, thereby improving the rationality and accuracy of energy efficiency rating evaluation of refrigeration room systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a diagram illustrating an application environment of a method for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0039] Figure 2 1 is a flow chart of a method for determining energy efficiency rating of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0040] Figure 3 for Figure 2 A flowchart of an implementation method of S103 in an implementation;

[0041] Figure 4 for Figure 2 A flowchart of an implementation method of S103 in one embodiment;

[0042] Figure 5 for Figure 2 A flowchart of an implementation method of S104 in one embodiment;

[0043] Figure 6 The energy efficiency indicators of the refrigeration room systems in each city at the third, second, first and leading levels;

[0044] Figure 7 The energy efficiency indicators of the refrigeration room systems in each city at the third, second, first and leading levels;

[0045] Figure 8 for Figure 2A flowchart of an implementation method of S102 in an implementation;

[0046] Figure 9 for Figure 2 A flowchart of an implementation method of S101 in one embodiment;

[0047] Figure 10 1 is a flow chart of a method for determining energy efficiency rating of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0048] Figure 11 1 is a flow chart of a method for determining energy efficiency rating of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0049] Figure 12 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0050] Figure 13 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0051] Figure 14 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0052] Figure 15 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0053] Figure 16 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0054] Figure 17 1 is a structural block diagram of a device for determining energy efficiency classification of a refrigeration room system based on average wet-bulb temperature in one embodiment;

[0055] Figure 18 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0057] The method for determining the energy efficiency classification of a refrigeration room system based on the average wet-bulb temperature provided in this application can be applied to Figure 1The illustrated application environment includes an energy management platform 102 and multiple refrigeration plant systems 104. Energy management platform 102 is connected to each of these refrigeration plant systems 104. These refrigeration plant systems 104 correspond to multiple cities within multiple thermal zones and represent the cooling capacity of a building within that city during the cooling season. For example, they represent the central air conditioning system in an office building in Shanghai. Energy management platform 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices can include smart watches, smart bracelets, and head-mounted devices.

[0058] In one embodiment, Figure 2 As shown in the figure, a method for determining the energy efficiency rating of a refrigeration room system based on the average wet bulb temperature is provided. Figure 1 The energy management platform in the example is used to illustrate the following:

[0059] S101: Obtain the average wet-bulb temperature value of each city included in the current thermal zone in its respective cooling season.

[0060] Thermal zoning is a division of more than 270 cities across the country based on the dry-bulb temperature of the climate. It is generally divided into five thermal zones: the hot summer and warm winter zone, which includes cities such as Shenzhen, Nanning, Haikou, and Yangjiang. The hot summer and cold winter zone, which includes cities such as Shanghai, Chongqing, Hefei, and Nanjing. The mild zone, which includes cities such as Guiyang, Kunming, Tengchong, and Xichang. The cold zone, which includes cities such as Beijing, Taiyuan, Xi'an, and Tianjin. The severely cold zone, which includes cities such as Harbin, Urumqi, Xining, Changchun, and Shenyang. The wet-bulb temperature is the air temperature with humidity. The average wet-bulb temperature during the cooling season is the average hourly wet-bulb temperature of each city during the cooling season. Taking Harbin as an example, it is the average hourly wet-bulb temperature of Harbin from June to September.

[0061] In this embodiment, the energy management platform can collect the hourly wet-bulb temperature values ​​of each city in each thermal zone during the cooling season from the meteorological bureau's information platform through big data collection. The energy management platform then calculates the average wet-bulb temperature values ​​of each city in each thermal zone during the cooling season. Alternatively, the energy management platform can directly obtain the hourly wet-bulb temperature values ​​of each city during the cooling season from a professional meteorological database. The energy management platform then calculates the average wet-bulb temperature values ​​of all cities in each thermal zone. It should be noted that different cities have different cooling seasons. For example, Hainan's cooling season is from May to November, and Hefei's cooling season is from June to September.

[0062] S102 , calculating energy efficiency ratio values ​​of refrigeration room systems of different levels corresponding to each city based on environmental information of each city during its cooling season.

[0063] The environmental information includes at least one of wet-bulb temperature distribution, climate conditions, building volume, and building type. The energy efficiency ratio value of the refrigeration room system corresponding to each city is used as a standard for measuring the energy efficiency grading of the refrigeration room system corresponding to each city.

[0064] In this embodiment, taking the current thermal zone as an example, since the average wet-bulb temperature values ​​of each city in the current thermal zone during its respective cooling seasons correspond to the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons, that is, the higher the wet-bulb temperature value, the lower the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons; the lower the wet-bulb temperature value, the greater the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons. Therefore, the energy management platform can determine the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons based on the corresponding relationship between the average wet-bulb temperature values ​​of each city during the cooling seasons and the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons, and then calculate the energy efficiency ratio values ​​of the refrigeration room systems corresponding to each city based on the power consumption values ​​of the refrigeration room systems of each city during the cooling seasons. It should be noted that in actual applications, the energy management platform can pre-record the correspondence between the average wet-bulb temperature value of each city in its respective cooling season and the power consumption value of the refrigeration room system of each city in the cooling season in a mapping table. That is, the energy management platform can directly obtain the power consumption value of the refrigeration room system of each city in the cooling season based on the average wet-bulb temperature value of each city in its respective cooling season by querying the above mapping table.

[0065] S103 , dividing the current thermal zone into regions according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to each city, to obtain at least two target sub-regions.

[0066] Among them, cities in the same target sub-area use the same energy efficiency level.

[0067] In this embodiment, the current thermal zone can be divided into two or more target sub-zones based on demand. Taking the division of the current thermal zone into two target sub-zones as an example, an energy efficiency ratio threshold value can be pre-set, and cities whose refrigeration room systems have an energy efficiency ratio value less than or equal to the energy efficiency ratio threshold value can be divided into one target sub-zone, and cities whose refrigeration room systems have an energy efficiency ratio value greater than the energy efficiency ratio threshold value can be divided into another target sub-zone. Alternatively, an algorithm can be used to divide cities whose refrigeration room systems have similar energy efficiency ratio values ​​into one target sub-zone, and other cities into another target sub-zone.

[0068] S104: Determine the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-area.

[0069] In this embodiment, the energy efficiency grade of the refrigeration room system corresponding to each city included in each target sub-area is determined based on the energy efficiency ratio value of the refrigeration room system corresponding to each city included in each target sub-area; optionally, the energy efficiency grade of the refrigeration room system corresponding to each city included in each target sub-area can also be determined based on the average wet-bulb temperature value of each city included in each target sub-area during the respective cooling season; optionally, the energy efficiency grade of the refrigeration room system corresponding to each city included in each target sub-area can also be determined based on the energy efficiency ratio value of the refrigeration room system corresponding to each city included in each target sub-area and the average wet-bulb temperature value of each city included in each target sub-area during the respective cooling season. When performing specific grading, the energy efficiency grading of the refrigeration room systems corresponding to the cities included in each target sub-area can be divided into different levels. The higher the level, the more energy-efficient the refrigeration room systems corresponding to the cities included in each target sub-area. For example, the energy efficiency grading of the refrigeration room systems corresponding to the cities included in each target sub-area can be divided into Class A, Class B, and Class C, or the energy efficiency grading of the refrigeration room systems corresponding to the cities included in each target sub-area can be divided into the highest standard level, the middle level, and the lowest standard level.

[0070] The above-mentioned method for determining the energy efficiency rating of a refrigeration room system based on average wet-bulb temperature obtains the average wet-bulb temperature values ​​for each city included in the current thermal zone during its respective cooling season. Based on the environmental information of each city during its respective cooling season, the energy efficiency ratio values ​​of the refrigeration room systems corresponding to different grades in each city are calculated. The current thermal zone is then divided into at least two target sub-zones based on the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities. The energy efficiency rating of the refrigeration room systems corresponding to each of the target sub-zones is then determined. The environmental information includes at least one of wet-bulb temperature distribution, climate conditions, building volume, and building type. The above-mentioned method for determining the energy efficiency rating of a refrigeration room system based on average wet-bulb temperature obtains meteorological parameters for each city included in the current thermal zone, calculates loads based on building type, and uses energy efficiency ratio values ​​to divide each thermal zone into multiple target sub-zones. This method overcomes the problem of unreasonable and inaccurate energy efficiency rating evaluation of refrigeration room systems caused by overly large thermal zones, thereby improving the rationality and accuracy of energy efficiency rating evaluation of refrigeration room systems.

[0071] In one embodiment, the present application also provides a specific implementation method of the above-mentioned "dividing the current thermal zone into regions according to the energy efficiency ratio value of the refrigeration room system corresponding to each city to obtain at least two target sub-regions", such as Figure 3Shown, including:

[0072] S201: Divide the current thermal zone into preset areas to obtain at least two preset sub-areas.

[0073] Each preset sub-area includes a refrigeration room system corresponding to at least one preset city.

[0074] In this embodiment, the current thermal zone can be divided into two preset sub-zones, three preset sub-zones, or more, based on actual needs. The more preset sub-zones there are, the more reasonable and accurate the energy efficiency rating standards for the refrigeration room systems corresponding to the cities included in each target sub-zone are. Specifically, when dividing the preset areas, the energy management platform can divide the different preset sub-zones by setting partition boundaries within the current thermal zone. Specifically, the energy management platform can first arrange the energy efficiency ratio values ​​of all cities within the current thermal zone in ascending order. Optionally, if the current thermal zone is divided into two preset sub-zones, the energy efficiency ratio value at the 1 / 2 position is selected as the partition boundary to divide the current thermal zone into two preset sub-zones, namely Zone I and Zone II. If the current thermal zone is divided into three preset sub-zones, the energy efficiency ratio values ​​at the 1 / 3 position and the 2 / 3 position are selected as the partition boundaries to divide the current thermal zone into three preset sub-zones, namely Zone I, Zone II, and Zone III. It should be noted that the partition boundary can be determined by the number of preset sub-zones.

[0075] S202 : Determine the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area according to the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0076] Among them, the energy efficiency ratio deviation rate is the standard for pre-setting the thermal zone division.

[0077] In this embodiment, after the energy management platform obtains the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the aforementioned S102 method, it then calculates the average energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in the preset sub-area, and performs a ratio operation on the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area and the average energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in the preset sub-area to obtain the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in the preset sub-area.

[0078] S203: Determine at least two target sub-areas in the current thermal zone according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold.

[0079] Among them, the preset deviation rate threshold is used to measure the difference between the energy efficiency ratios of the refrigeration room systems corresponding to each preset city included in each preset sub-area. The preset deviation rate threshold can be determined in advance by the energy management platform according to the division requirements, and the preset deviation rate threshold is related to the number of target sub-areas. For example, if two target sub-areas are divided, the preset deviation rate threshold can be optimally set to 10%. If three target sub-areas are divided, the preset deviation rate threshold can be optimally set to 6% or 8%.

[0080] In this embodiment, when the energy management platform obtains the energy efficiency deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area, the energy efficiency deviation rate of the refrigeration room system corresponding to each preset city can be further compared with the preset deviation rate threshold in turn, and based on the comparison result, it is determined whether the preset sub-area in the current thermal zone is the target sub-area in the current thermal zone. If so, the preset sub-area contained in the current thermal zone is directly used as the target sub-area in the current thermal zone. If not, it is necessary to re-divide the preset sub-area in the current thermal zone, and then re-determine the target sub-area in the current thermal zone.

[0081] Optionally, a specific implementation of the above S203 is provided, such as Figure 4 As shown, the method includes:

[0082] S301: The first preset sub-area among all preset sub-areas is used as the current preset sub-area.

[0083] In this embodiment, when the energy management platform divides the current thermal zone into preset areas based on the aforementioned step S201 and obtains at least two preset sub-areas, the first preset sub-area among all the preset sub-areas can be first analyzed as the current preset sub-area. For example, the current thermal zone is divided into two preset sub-areas, namely, Zone I and Zone II, with Zone I serving as the current preset sub-area. The current thermal zone is divided into three preset sub-areas, namely, Zone I, Zone II and Zone III, with Zone I serving as the current preset sub-area.

[0084] S302, traverse the refrigeration room systems corresponding to each preset city in the current preset sub-area in turn, and determine whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to the preset deviation rate threshold; if the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, execute step S303; if in the process of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area, traversing to the refrigeration room system corresponding to the preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold, execute step S304.

[0085] S303: The next preset sub-area among all the preset sub-areas is used as the current preset sub-area, and the process returns to executing the step of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area until the traversal of the refrigeration room systems corresponding to the preset cities in all the preset sub-areas is completed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; and the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each target sub-area is less than or equal to the preset deviation rate threshold.

[0086] S304: Re-divide the current thermal zone into preset areas to obtain at least two new preset sub-areas, and return to the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0087] In this embodiment, the current thermal zone is divided into two target sub-zones as an example for explanation. When the refrigeration room systems corresponding to the preset cities in the current preset sub-zone are traversed in sequence, the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-zone is compared. Two scenarios will appear. The first scenario is: if the first energy efficiency ratio deviation rate is less than or equal to the preset deviation rate threshold, the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the second city is compared. If the second energy efficiency ratio deviation rate is less than or equal to the preset deviation rate threshold, the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the third city is compared. And so on, until the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the current preset sub-zone are traversed, and the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to the first city in the current preset sub-zone are compared. The energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the preset sub-area are less than or equal to the preset deviation rate threshold, indicating that the current division of the preset sub-area is reasonable. In this case, the above method can be continued to start comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the next preset sub-area until the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the next preset sub-area are traversed, and the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the next preset sub-area are less than or equal to the preset deviation rate threshold, indicating that the current division of the preset sub-area is reasonable. In this case, the two preset sub-areas pre-divided in the current thermal engineering zone can be used as the two target sub-areas in the final current thermal engineering zone.

[0088] The following example illustrates the method for determining the target sub-area in the second scenario:

[0089] Example 1: Assume that the current thermal engineering zone includes 10 cities, and the current thermal engineering zone is divided into two preset sub-zones. If the zone boundary line is set at 1 / 2, each preset sub-zone includes 5 cities. Specifically, the first preset sub-zone is first used as the current preset sub-zone. If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-zone is greater than the preset deviation rate threshold, or if the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a certain city in the traversal is greater than the preset deviation rate threshold, it means that the division of the current preset sub-zone is incorrect, then the zone boundary line is moved from 1 / 2 to the next city, that is, the zone boundary line is moved to the 6th city. Then the first preset sub-zone includes 6 cities, and the second preset sub-zone includes 4 cities are included, and then the first preset sub-area is used as the current preset sub-area. The above method is continued to be used to start the comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-area. After the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the current preset sub-area is traversed, and the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the current preset sub-area is less than or equal to the preset deviation rate threshold, it means that the division of the current preset sub-area is reasonable. In this case, the above method can be continued to start the comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the next preset sub-area. If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-area is greater than the preset deviation rate threshold value, or if the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a certain city is greater than the preset deviation rate threshold during the traversal, it means that the division of the current preset sub-area is incorrect, then the partition boundary line is moved from 1 / 2 to the previous city, that is, the partition boundary line is moved to the 5th city. However, since the preset sub-area divided with the 5th city as the partition boundary line is incorrect, the partition boundary line is moved forward to the 4th city to form a new preset sub-area, that is, the first preset sub-area includes 4 cities, and the second preset sub-area includes 6 cities. Continue to follow the above method, taking the first preset sub-area as the current preset sub-area, until the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the current preset sub-area are traversed, and the preset Assume that the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the sub-area are less than or equal to the preset deviation rate threshold, indicating that the current preset sub-area division is reasonable. In this case, the above method can be continued to start comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the next preset sub-area, until the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the next preset sub-area are traversed, and the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the next preset sub-area are less than or equal to the preset deviation rate threshold, indicating that the current preset sub-area division is reasonable. In this case, the two preset sub-areas pre-divided in the current thermal zone can be used as the two target sub-areas in the final current thermal zone.

[0090] Example 2: Assume that the current thermal engineering zone includes 9 cities, and the current thermal engineering zone is divided into three preset sub-zones. If the first zone boundary line is set at 1 / 3 and the second zone boundary line is set at 2 / 3, then each preset sub-zone includes 3 cities. Specifically, first take the first preset sub-zone as the current preset sub-zone. If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-zone is greater than the preset deviation rate threshold, or if the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a certain city appears during the traversal and is greater than the preset deviation rate threshold, it means that the division of the current preset sub-zone is incorrect, then the first zone boundary line is moved from 1 / 3 to the next city, that is, the first zone boundary line is moved to the 4th city, then the first preset sub-zone includes There are 4 cities, the second preset sub-area includes 2 cities, and the third preset sub-area includes 3 cities. Then, the first preset sub-area is used as the current preset sub-area, and the above method is continued to be used to start the comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-area. After the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the current preset sub-area are traversed, and the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the current preset sub-area are less than or equal to the preset deviation rate threshold, it means that the division of the current preset sub-area is reasonable. In this case, the above method can be continued to be used to start the comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the second preset sub-area. If the first city in the current preset sub-area If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a city is greater than the preset deviation rate threshold, or if the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a certain city is greater than the preset deviation rate threshold during the traversal, it means that the division of the current preset sub-area is incorrect, then the second partition boundary line is moved from 2 / 3 to the next city, that is, the second partition boundary line is moved to the 7th city to form a new preset sub-area, that is, the first preset sub-area includes 4 cities, the second preset sub-area includes 3 cities, and the third preset sub-area includes 2 cities. Continue to follow the above method and use the first preset sub-area as the current preset sub-area until the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to all cities in the current preset sub-area are traversed, and the energy efficiency ratio deviation rates of all cities in the preset sub-area are greater than the preset deviation rate threshold. The energy efficiency ratio deviation rate of the refrigeration room system is less than or equal to the preset deviation rate threshold, indicating that the current preset sub-area division is reasonable. In this case, the above method can be continued to start comparison from the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the third preset sub-area. If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the current preset sub-area is greater than the preset deviation rate threshold, or the energy efficiency ratio deviation rate of the refrigeration room system corresponding to a certain city in the traversal is greater than the preset deviation rate threshold, indicating that the current preset sub-area division is incorrect, the second partition boundary line is moved from the 7th city to the 6th city. Since the preset sub-area divided with the 6th city as the second partition boundary line is incorrect, the partition boundary line is moved forward.Move to the 5th city to form a new preset sub-area, that is, the first preset sub-area includes 4 cities, the second preset sub-area includes 1 city, and the third preset sub-area includes 4 cities. Continue to follow the above method and use the first preset sub-area as the current preset sub-area until the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the current preset sub-area is traversed, and the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the preset sub-area is less than or equal to the preset deviation rate threshold, indicating that the division of the current preset sub-area is reasonable. In this case, you can continue to compare the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the second preset sub-area according to the above method until the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the second preset sub-area is traversed. The energy efficiency ratio deviation rate is less than or equal to the preset deviation rate threshold for the refrigeration room systems of all cities in the second preset sub-area, indicating that the current division of the preset sub-area is reasonable. In this case, the above method can be continued to be used to compare the energy efficiency ratio deviation rate of the refrigeration room system corresponding to the first city in the third preset sub-area, until the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the third preset sub-area is traversed, and the energy efficiency ratio deviation rate of the refrigeration room system corresponding to all cities in the third preset sub-area is less than or equal to the preset deviation rate threshold, indicating that the current division of the preset sub-area is reasonable. In this case, the three preset sub-areas pre-divided in the current thermal zone can be used as the three target sub-areas in the final current thermal zone.

[0091] In one embodiment, the present application also provides a specific implementation method of the above-mentioned “determining the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-area”, such as Figure 5 Shown, including:

[0092] S401 , classifying the energy efficiency levels of the refrigeration room systems corresponding to the cities included in the target sub-regions into four levels: level three, level two, level one, and leading level.

[0093] Among them, the energy efficiency level is the standard for measuring the energy efficiency of the corresponding refrigeration room system in each city.

[0094] In this embodiment, based on the performance of the refrigeration room systems corresponding to the cities included in each target sub-area and the average wet-bulb temperature of each city included in each target sub-area per hour during the cooling season, it is more reasonable to divide the energy efficiency levels of the refrigeration room systems corresponding to the cities included in each target sub-area into four levels: level three, level two, level one, and leading level, in combination with actual needs. Level three is the minimum requirement for the energy efficiency level of the refrigeration room systems corresponding to the cities included in each target sub-area, and the leading level is the highest standard for the energy efficiency level of the refrigeration room systems corresponding to the cities included in each target sub-area.

[0095] S402: Determine the energy efficiency indicators of the refrigeration room systems corresponding to the cities included in each target sub-area at the third, second, first, and leading levels, based on the average wet-bulb temperature values ​​of the refrigeration room systems corresponding to the cities included in each target sub-area.

[0096] In this embodiment, optionally, the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities included in each target sub-area can be analyzed and a mathematical model can be established to obtain the energy efficiency indicators at the third, second, first and leading levels corresponding to the refrigeration room systems corresponding to the cities included in each target sub-area. Figure 6 It is the energy efficiency index of the refrigeration room system corresponding to each city in each target sub-area under the third, second, first and leading levels when the rated cooling capacity of the refrigeration room system corresponding to each city is greater than or equal to 1758KW. Figure 7 When the rated cooling capacity of the refrigeration room system in each city is less than 1758 kW, the energy efficiency indicators for the refrigeration room systems in each city within each target sub-region at the Level 3, Level 2, Level 1, and Leading Levels are used. Where tw is the average hourly wet-bulb temperature of each city within each target sub-region during the cooling season. The average hourly wet-bulb temperature of each city in Zone I during the cooling season must be greater than the minimum average hourly wet-bulb temperature of each city in Zone II during the cooling season.

[0097] In one embodiment, the present application also provides a specific implementation method of the above-mentioned "calculating the energy efficiency ratio value of the refrigeration room system corresponding to each city based on the environmental information of each city in its respective cooling season", such as Figure 8 Shown, including:

[0098] S501 : Determine the cooling capacity of the refrigeration room system corresponding to each city in each cooling season based on the environmental information of each city in each cooling season.

[0099] In this embodiment, after the energy management platform calculates the average wet-bulb temperature value of each city in its respective cooling season, optionally, a mapping table of the average wet-bulb temperature value and the cooling capacity can be used to obtain the cooling capacity of the corresponding refrigeration room system in each city in its respective cooling season; or a mathematical model of the average wet-bulb temperature value and the cooling capacity can be established to obtain the cooling capacity of the corresponding refrigeration room system in each city in its respective cooling season.

[0100] S502 : Determine the energy efficiency ratio value of the refrigeration room system corresponding to each city according to the cooling capacity and power consumption of the refrigeration room system corresponding to each city in each cooling season.

[0101] In this embodiment, the energy efficiency ratio of each city's corresponding refrigeration room system is the ratio of the cooling capacity of each city's corresponding refrigeration room system during the respective cooling season to the electricity consumption of each city's corresponding refrigeration room system during the respective cooling season. After obtaining the electricity consumption of each city's corresponding refrigeration room system during the respective cooling season, the energy management platform calculates the energy efficiency ratio of each city's corresponding refrigeration room system.

[0102] In one embodiment, the present application also provides a specific implementation of the above S102, such as Figure 9 Shown, including:

[0103] S601, sending a data acquisition request to the meteorological data platform.

[0104] In this embodiment, the energy management platform sends a data request to the meteorological data platform, including hourly wet-bulb temperature data for each city within the current thermal zone during the cooling season. For example, the energy management platform sends a request to the meteorological data platform for hourly wet-bulb temperature data for Hefei from June to September.

[0105] S602: Receive the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season, which is returned by the meteorological data platform according to the data acquisition request.

[0106] In this embodiment, the energy management platform receives the hourly wet-bulb temperature value of each city included in the current thermal zone in each cooling season returned by the meteorological data platform, and then calculates the hourly average wet-bulb temperature value of each city included in the current thermal zone in each cooling season.

[0107] In summary of all the above embodiments, the present application also provides a method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature, such as Figure 10 As shown, the method includes:

[0108] S701, sending a data acquisition request to the meteorological data platform.

[0109] S702: Receive the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season, which is returned by the meteorological data platform according to the data acquisition request.

[0110] S703: Determine the cooling capacity of the refrigeration room system corresponding to each city in each cooling season based on the environmental information of each city in each cooling season.

[0111] S704 , determining the energy efficiency ratio value of the refrigeration room system corresponding to each city according to the cooling capacity and power consumption of the refrigeration room system corresponding to each city in each cooling season.

[0112] S705: Divide the current thermal zone into preset areas to obtain at least two preset sub-areas.

[0113] S706: Determine the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area as the ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city included in each preset sub-area to the energy efficiency ratio value of the refrigeration room system corresponding to all preset cities included in each preset sub-area.

[0114] S707: The first preset sub-area among all the preset sub-areas is used as the current preset sub-area.

[0115] S708: The refrigeration plant systems corresponding to each preset city in the current preset sub-area are sequentially traversed to determine whether the energy efficiency ratio deviation rate of the refrigeration plant system corresponding to each preset city is less than or equal to a preset deviation rate threshold. If the energy efficiency ratio deviation rate of the refrigeration plant system corresponding to each preset city is less than or equal to the preset deviation rate threshold, step S709 is executed. If the energy efficiency ratio deviation rate of the refrigeration plant system corresponding to each preset city is greater than the preset deviation rate threshold, step S710 is executed.

[0116] S709: The next preset sub-area among all the preset sub-areas is used as the current preset sub-area, and the process returns to step S708 until the refrigeration plant room systems corresponding to the preset cities in all the preset sub-areas are traversed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; and the energy efficiency ratio deviation rate of the refrigeration plant room system corresponding to each city in each target sub-area is less than or equal to the preset deviation rate threshold.

[0117] S710: Re-divide the current thermal zone into preset areas to obtain at least two new preset sub-areas, and return to step S706.

[0118] S711: Classify the energy efficiency level of the refrigeration room system corresponding to each city included in each target sub-area into four levels: level three, level two, level one, and leading level.

[0119] S712: Determine the energy efficiency indicators of the refrigeration room systems corresponding to the cities included in each target sub-area at the third, second, first, and leading levels, based on the average wet-bulb temperature values ​​of the refrigeration room systems corresponding to the cities included in each target sub-area.

[0120] This application also provides a method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature, such as Figure 11As shown, by inputting the average wet-bulb temperature value of each city included in each thermal zone in each cooling season; the building volume of each city included in each thermal zone can be 450RT or 2000RT; the building type of each city included in each thermal zone can be office building, hotel, commercial building; the technical level of the refrigeration room system corresponding to each city included in each thermal zone can be first-level, second-level, third-level or leadership level. After energy consumption software simulation calculation, the energy efficiency ratio value of the refrigeration room system corresponding to each city included in each thermal zone is obtained, and the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each sub-zone is controlled to be less than or equal to 10%. Each thermal zone is divided into first-level sub-zone and second-level sub-zone, and each sub-zone is energy-efficiently graded to determine the energy efficiency grading index.

[0121] In one embodiment, Figure 12 As shown, a device for determining the energy efficiency rating of a refrigeration room system based on average wet-bulb temperature is provided, comprising:

[0122] The acquisition module 11 is used to obtain the average wet-bulb temperature value of each city included in the current thermal zone in its respective cooling season;

[0123] The calculation module 12 is used to calculate the energy efficiency ratio values ​​of the refrigeration room systems of different levels in each city according to the environmental information of each city in its respective cooling season;

[0124] The partitioning module 13 is used to divide the current thermal zone into regions according to the energy efficiency ratio value of the refrigeration room system corresponding to each city, and obtain at least two target sub-regions.

[0125] The grading module 14 is configured to determine the energy efficiency grading of the refrigeration room systems corresponding to the cities included in each target sub-region.

[0126] In one embodiment, Figure 13 As shown, the partition module 13 includes:

[0127] The first partitioning unit 131 is configured to divide the current thermal zone into preset areas to obtain at least two preset sub-areas; each preset sub-area includes a refrigeration room system corresponding to at least one preset city.

[0128] The first calculation unit 132 is configured to determine an energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area according to the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0129] The second calculation unit 133 is configured to determine at least two target sub-areas in the current thermal zone according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold.

[0130] In one embodiment, the first calculation unit 132 includes:

[0131] The calculation subunit 1321 is configured to determine the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area by taking the ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city included in each preset sub-area to the energy efficiency ratio values ​​of the refrigeration room system corresponding to all preset cities included in each preset sub-area.

[0132] In one embodiment, Figure 14 As shown, the second calculation unit 133 includes:

[0133] The setting subunit 1331 is configured to set the first preset sub-area among all the preset sub-areas as the current preset sub-area.

[0134] The traversal subunit 1332 is configured to sequentially traverse the refrigeration room systems corresponding to the preset cities in the current preset sub-area, and determine whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to a preset deviation rate threshold;

[0135] If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, then the next preset sub-area in all the preset sub-areas is used as the current preset sub-area, and the process of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area is returned to the step of traversing the refrigeration room systems corresponding to each preset city in all the preset sub-areas is completed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each target sub-area is less than or equal to the preset deviation rate threshold;

[0136] If, in the process of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area, a refrigeration room system corresponding to a preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold is traversed, the current thermal zone is re-divided into preset areas to obtain at least two new preset sub-areas, and the process returns to execute the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0137] In one embodiment, Figure 15 As shown, the grading module 14 includes:

[0138] The second partitioning unit 141 is configured to divide the energy efficiency levels of the refrigeration room systems corresponding to the cities included in the target sub-regions into four levels: level three, level two, level one, and leading level.

[0139] The grading unit 142 is used to determine the energy efficiency indicators of the refrigeration room systems corresponding to each city included in each target sub-area at the third level, second level, first level and leading level according to the average wet-bulb temperature value of the refrigeration room systems corresponding to each city included in each target sub-area.

[0140] In one embodiment, Figure 16 As shown, the calculation module 12 includes:

[0141] The third calculation unit 121 is used to determine the cooling capacity of the refrigeration room system in each city in its respective cooling season based on the average wet-bulb temperature value of each city in its respective cooling season.

[0142] The fourth calculation unit 122 is used to determine the energy efficiency ratio value of the refrigeration room system corresponding to each city according to the cooling capacity and electricity consumption of the refrigeration room system corresponding to each city in each cooling season.

[0143] In one embodiment, Figure 17 As shown, the acquisition module 11 includes:

[0144] The sending unit 111 is used to send a data acquisition request to the meteorological data platform.

[0145] The receiving unit 112 is used to receive the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season, which is returned by the meteorological data platform according to the data acquisition request.

[0146] Regarding the specific limitations of the device for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature, please refer to the limitations of the method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature above, which will not be repeated here. Each module in the above-mentioned device for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature can be implemented in whole or in part through software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0147] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 18As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining the energy efficiency rating of a refrigeration room system based on the average wet-bulb temperature is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0148] Those skilled in the art will understand that Figure 18 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0149] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0150] Get the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season;

[0151] Calculate the energy efficiency ratio of the refrigeration room system in each city based on the environmental information of each city during its cooling season;

[0152] Based on the energy efficiency ratio of the refrigeration room system in each city, the current thermal zone is divided into regions to obtain at least two target sub-regions;

[0153] Determine the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-area.

[0154] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0155] Divide the current thermal zone into preset areas to obtain at least two preset sub-areas; each preset sub-area contains a refrigeration room system corresponding to at least one preset city;

[0156] Determine the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city;

[0157] At least two target sub-areas within the current thermal zone are determined according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold.

[0158] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0159] The energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area is determined as the ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area to the energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in each preset sub-area.

[0160] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0161] The first preset sub-area among all preset sub-areas is used as the current preset sub-area;

[0162] Traverse the refrigeration room systems corresponding to each preset city in the current preset sub-area in turn, and determine whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to the preset deviation rate threshold;

[0163] If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, then the next preset sub-area in all the preset sub-areas is used as the current preset sub-area, and the process of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area is returned to the step of traversing the refrigeration room systems corresponding to each preset city in all the preset sub-areas is completed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each target sub-area is less than or equal to the preset deviation rate threshold;

[0164] If, in the process of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area, a refrigeration room system corresponding to a preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold is traversed, the current thermal zone is re-divided into preset areas to obtain at least two new preset sub-areas, and the process returns to execute the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0165] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0166] The energy efficiency levels of the refrigeration room systems of the cities included in each target sub-region are divided into four levels: level 3, level 2, level 1 and leading level;

[0167] Based on the average wet-bulb temperature value of the refrigeration room system corresponding to each city included in each target sub-area, the energy efficiency indicators of the refrigeration room system corresponding to each city included in each target sub-area at the third, second, first and leading levels are determined.

[0168] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0169] Based on the average wet-bulb temperature of each city during its cooling season, determine the cooling capacity of the corresponding refrigeration room system in each city during its cooling season;

[0170] The energy efficiency ratio value of the refrigeration room system corresponding to each city is determined based on the cooling capacity and electricity consumption of the refrigeration room system corresponding to each city in the respective cooling seasons.

[0171] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0172] Send data acquisition request to the meteorological data platform;

[0173] The average wet-bulb temperature value of each city in the current thermal zone during the respective cooling seasons is returned by the meteorological data platform according to the data acquisition request.

[0174] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0175] Get the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season;

[0176] Calculate the energy efficiency ratio of the refrigeration room system in each city based on the environmental information of each city during its cooling season;

[0177] Based on the energy efficiency ratio of the refrigeration room system in each city, the current thermal zone is divided into regions to obtain at least two target sub-regions;

[0178] Determine the energy efficiency rating of the refrigeration room system corresponding to each city included in each target sub-area.

[0179] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0180] Divide the current thermal zone into preset areas to obtain at least two preset sub-areas; each preset sub-area contains a refrigeration room system corresponding to at least one preset city;

[0181] Determine the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city;

[0182] At least two target sub-areas within the current thermal zone are determined according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold.

[0183] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0184] The energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area is determined as the ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area to the energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in each preset sub-area.

[0185] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0186] The first preset sub-area among all preset sub-areas is used as the current preset sub-area;

[0187] Traverse the refrigeration room systems corresponding to each preset city in the current preset sub-area in turn, and determine whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to the preset deviation rate threshold;

[0188] If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, then the next preset sub-area in all the preset sub-areas is used as the current preset sub-area, and the process of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area is returned to the step of traversing the refrigeration room systems corresponding to each preset city in all the preset sub-areas is completed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each target sub-area is less than or equal to the preset deviation rate threshold;

[0189] If, in the process of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area, a refrigeration room system corresponding to a preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold is traversed, the current thermal zone is re-divided into preset areas to obtain at least two new preset sub-areas, and the process returns to execute the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

[0190] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0191] The energy efficiency levels of the refrigeration room systems of the cities included in each target sub-region are divided into four levels: level 3, level 2, level 1 and leading level;

[0192] Based on the average wet-bulb temperature value of the refrigeration room system corresponding to each city included in each target sub-area, the energy efficiency indicators of the refrigeration room system corresponding to each city included in each target sub-area at the third, second, first and leading levels are determined.

[0193] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0194] Based on the average wet-bulb temperature of each city during its cooling season, determine the cooling capacity of the corresponding refrigeration room system in each city during its cooling season;

[0195] The energy efficiency ratio value of the refrigeration room system corresponding to each city is determined based on the cooling capacity and electricity consumption of the refrigeration room system corresponding to each city in the respective cooling seasons.

[0196] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0197] Send data acquisition request to the meteorological data platform;

[0198] The average wet-bulb temperature value of each city in the current thermal zone during the respective cooling seasons is returned by the meteorological data platform according to the data acquisition request.

[0199] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effects are similar to those of the above method embodiment, and will not be repeated here.

[0200] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0201] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0202] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for determining energy efficiency rating of a refrigeration room system based on average wet-bulb temperature, characterized in that: The method comprises: Get the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season; Calculating energy efficiency ratio values ​​of refrigeration room systems of different levels corresponding to each of the cities based on environmental information of each city during its respective cooling season, the environmental information including wet-bulb temperature distribution, including: determining power consumption values ​​of the refrigeration room systems of each city during the cooling season based on average wet-bulb temperatures of each city during its respective cooling season, and then calculating energy efficiency ratio values ​​of the refrigeration room systems corresponding to each city based on the power consumption values ​​of the refrigeration room systems of each city during the cooling season; According to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities, the current thermal zone is divided into regions to obtain at least two target sub-regions; wherein, according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities, the current thermal zone is divided into regions to obtain at least two target sub-regions, including: dividing the current thermal zone into preset regions to obtain at least two preset sub-regions; each preset sub-region contains at least one refrigeration room system corresponding to a preset city; according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities, the energy efficiency ratio deviation rate of the refrigeration room systems corresponding to the preset cities contained in the preset sub-regions is determined; according to the energy efficiency ratio deviation rate of the refrigeration room systems corresponding to the preset cities contained in the preset sub-regions and a preset deviation rate threshold, at least two target sub-regions within the current thermal zone are determined; Determining the energy efficiency grading of the refrigeration room system corresponding to each city included in each target sub-area includes: dividing the energy efficiency grade of the refrigeration room system corresponding to each city included in each target sub-area into four grades: grade three, grade two, grade one and leading grade; and determining the energy efficiency index of the refrigeration room system corresponding to each city included in each target sub-area at grade three, grade two, grade one and leading grade according to the average wet-bulb temperature value of the refrigeration room system corresponding to each city included in each target sub-area.

2. The method according to claim 1, characterized in that The determining, based on the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities, the energy efficiency ratio deviation rates of the refrigeration room systems corresponding to the cities included in the preset sub-areas includes: The ratio of the energy efficiency ratio value of the refrigeration room system corresponding to each preset city contained in each preset sub-area to the energy efficiency ratio value of the refrigeration room system corresponding to all preset cities contained in each preset sub-area is determined as the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area.

3. The method according to claim 1, characterized in that The determining of at least two target sub-areas within the current thermal zone according to the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city included in each preset sub-area and a preset deviation rate threshold comprises: The first preset sub-area among all preset sub-areas is used as the current preset sub-area; Traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area in sequence, and determining whether the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city is less than or equal to the preset deviation rate threshold; If the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city in the current preset sub-area is less than or equal to the preset deviation rate threshold, then the next preset sub-area in all the preset sub-areas is used as the current preset sub-area, and the step of traversing the refrigeration room systems corresponding to each preset city in the current preset sub-area is returned to execution until the refrigeration room systems corresponding to each preset city in all the preset sub-areas are traversed, and at least two preset sub-areas are obtained and determined as at least two target sub-areas; the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each city in each of the target sub-areas is less than or equal to the preset deviation rate threshold; If, in the process of traversing the refrigeration room systems corresponding to the preset cities in the current preset sub-area, a refrigeration room system corresponding to a preset city whose energy efficiency ratio deviation rate is greater than the preset deviation rate threshold is traversed, the current thermal zone is re-divided into preset areas to obtain at least two new preset sub-areas, and the process returns to execute the step of determining the energy efficiency ratio deviation rate of the refrigeration room system corresponding to each preset city contained in each preset sub-area based on the energy efficiency ratio value of the refrigeration room system corresponding to each city.

4. The method according to claim 1, wherein Calculating the energy efficiency ratio of the refrigeration room system corresponding to each city according to the environmental information of each city in its respective cooling season includes: Determining the cooling capacity of the refrigeration room systems corresponding to the cities in their respective cooling seasons based on the environmental information of the cities in their respective cooling seasons; The energy efficiency ratio value of the refrigeration room system corresponding to each city is determined according to the cooling capacity of the refrigeration room system corresponding to each city in the respective cooling season and the electricity consumption of the refrigeration room system corresponding to each city in the respective cooling season.

5. The method according to claim 1, wherein The environmental information includes wet-bulb temperature distribution, including: Send data acquisition request to the meteorological data platform; Receive the average wet-bulb temperature value of each city included in the current thermal zone in each cooling season, which is returned by the meteorological data platform according to the data acquisition request.

6. A device for determining energy efficiency rating of a refrigeration room system based on average wet-bulb temperature, characterized in that: The device comprises: The acquisition module is used to obtain the average wet-bulb temperature value of each city included in the current thermal zone in its respective cooling season; a calculation module, configured to calculate energy efficiency ratio values ​​of refrigeration room systems of different levels corresponding to each of the cities based on environmental information of the cities during their respective cooling seasons, the environmental information including wet-bulb temperature distribution, including: determining a power consumption value of the refrigeration room system of each city during the cooling season based on an average wet-bulb temperature value of each city during its respective cooling season, and then calculating an energy efficiency ratio value of the refrigeration room system corresponding to each city based on the power consumption value of the refrigeration room system of each city during the cooling season; A partitioning module is configured to divide the current thermal zone into regions according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities, to obtain at least two target sub-regions; wherein, dividing the current thermal zone into regions according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities to obtain at least two target sub-regions comprises: dividing the current thermal zone into preset regions to obtain at least two preset sub-regions; each preset sub-region contains at least one refrigeration room system corresponding to a preset city; determining the energy efficiency ratio deviation rate of the refrigeration room systems corresponding to the preset cities contained in each preset sub-region according to the energy efficiency ratio values ​​of the refrigeration room systems corresponding to the cities; determining at least two target sub-regions within the current thermal zone according to the energy efficiency ratio deviation rate of the refrigeration room systems corresponding to the preset cities contained in each preset sub-region and a preset deviation rate threshold; The grading module is used to determine the energy efficiency grading of the refrigeration room system corresponding to each city included in each target sub-area, including: dividing the energy efficiency level of the refrigeration room system corresponding to each city included in each target sub-area into four levels: level three, level two, level one and leading level; according to the average wet-bulb temperature value of the refrigeration room system corresponding to each city included in each target sub-area, determining the energy efficiency index of the refrigeration room system corresponding to each city included in each target sub-area at level three, level two, level one and leading level.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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