Refrigeration energy efficiency evaluation management method and system

Abstract

The invention relates to the technical field of air conditioner management, and discloses a refrigeration energy efficiency evaluation management method which is characterized by comprising the following steps: determining heat loss parameters of each room based on air supply distance information; according to the air inlet sensing parameters of the air inlet sensing monitoring points and the air outlet sensing parameters detected by the air outlet sensing monitoring points, first refrigerating capacity and second refrigerating capacity sets of the corresponding air conditioning units are obtained through calculation; operation power information of all devices in the air conditioning unit is obtained, and the overall refrigeration energy efficiency of the air conditioning unit and the refrigeration energy efficiency of the air conditioning unit for all the rooms are determined according to the operation power information, the first refrigerating capacity and the second refrigerating capacity of the air conditioning unit and the heat loss parameters of all the rooms; and the overall data table is updated according to the overall refrigeration energy efficiency of the air conditioning unit and the refrigeration energy efficiency of the air conditioning unit for each room. According to the scheme, energy efficiency management is more detailed and accurate, and the energy efficiency problem of a single room can be found and optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning management, and in particular to a refrigeration energy efficiency evaluation management method and system. Background Art

[0002] The existing energy consumption data are generally data under ideal conditions measured in the laboratory, which cannot reflect the actual use status. In the actual use of commercial buildings, due to the influence of various factors (such as personnel activities, equipment use, external environmental changes, etc.), the energy consumption situation is often more complex and changeable than under laboratory conditions. The traditional energy consumption measurement method is often based on static and idealized conditions, which is difficult to accurately reflect the energy consumption characteristics of the building in actual use. In addition, commercial buildings usually lack efficient and real-time energy consumption monitoring and management systems. This makes it difficult for building managers to obtain accurate energy consumption data in a timely manner and to effectively analyze and control energy consumption. Therefore, even if the laboratory data shows that the energy consumption efficiency of the building is high, in the actual use process, due to deficiencies in monitoring and management, the energy consumption of the building may still remain high. Therefore, designing a solution that can accurately evaluate the energy consumption of a building and manage it has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0003] In view of the above-mentioned defects, an embodiment of the present invention discloses a refrigeration energy efficiency evaluation and management method, which can realize accurate monitoring of the energy efficiency of air-conditioning units and provide a data basis for subsequent refined management.

[0004] A first aspect of an embodiment of the present invention discloses a refrigeration energy efficiency evaluation management method, comprising:

[0005] Receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of the air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0006] Receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table;

[0007] Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine heat loss parameters of each room based on the air supply distance information;

[0008] The first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit are calculated according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0009] Obtain operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

[0010] As an optional implementation, in the first aspect of the embodiment of the present invention, the air inlet sensor parameters include outdoor dry-bulb temperature, outdoor wet-bulb temperature, air inlet speed information and a first measurement period; the air outlet sensor parameters include indoor dry-bulb temperature, indoor wet-bulb temperature, air outlet speed information and a second measurement period;

[0011] The determining of the outdoor heat state value of the corresponding building according to the air inlet sensor parameter and a pre-built sensor-heat mapping table includes:

[0012] Determine corresponding outdoor humidity information according to the outdoor dry-bulb temperature and the outdoor wet-bulb temperature;

[0013] According to the outdoor dry-bulb temperature, outdoor wet-bulb temperature and outdoor humidity information, data matching is performed with a pre-built sensor-heat mapping table to determine an outdoor thermal state value of a corresponding building;

[0014] The method of determining the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table includes:

[0015] Determine corresponding indoor humidity information according to the indoor dry-bulb temperature and the indoor wet-bulb temperature;

[0016] According to the indoor dry-bulb temperature, indoor wet-bulb temperature and indoor humidity information, data matching is performed with a pre-built sensor-heat mapping table to determine the indoor thermal state value of each room in the building;

[0017] The method of calculating the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point includes:

[0018] Determine the air volume parameter of the corresponding air inlet sensor monitoring point according to the air inlet speed information of the air inlet sensor monitoring point and the first measurement period;

[0019] Determine the air volume parameter of the corresponding air outlet sensor monitoring point according to the air outlet speed information detected by each air outlet sensor monitoring point and the second measurement period;

[0020] Determine the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the outdoor heat state value of the building, the indoor heat state value of each room in the building and a preset cooling calculation formula;

[0021]

[0022] Q i =L i ×(HT o -HT i )

[0023] Among them, Q t It represents the first cooling capacity, which is the total cooling capacity of the entire building; Q i represents the second cooling capacity, that is, the cooling capacity of the i-th room; L represents the air volume parameter, L i represents the air volume parameter of the ith room, HT o Indicates the outdoor heat status value, HT i represents the indoor thermal state of the i-th room, and n is the total number of rooms.

[0024] As an optional implementation, in the first aspect of the embodiment of the present invention, the first measurement period and the second measurement period are different, and the second measurement period is determined according to the first measurement period and the air supply distance information;

[0025] The determining of the heat loss parameters of each room based on the air supply distance information includes:

[0026] The heat loss parameters of each room are determined according to the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance, the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance are matched with a preset heat loss table to determine the corresponding loss comparison parameters, and the heat loss parameters of each room are matched with the corresponding loss comparison parameters. If the requirements are met, the operation of the equipment in the air-conditioning unit will not be adjusted. If the requirements are not met, the operation parameters of the equipment in the air-conditioning unit will be adjusted.

[0027] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining of operating power information of each device in the air-conditioning unit, and determining the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room, include:

[0028] The refrigeration power value of the air-conditioning unit is calculated according to the pre-constructed refrigeration power calculation formula and the first refrigeration capacity, evaporation temperature information, condensation temperature information, and refrigeration efficiency information of the air-conditioning unit; the refrigeration power calculation formula is: Among them, P1 represents the operating power of the chiller; Q t is the first cooling capacity, T0 represents the evaporation temperature information, T k represents the condensation temperature information, and η represents the refrigeration efficiency information;

[0029] Obtaining the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower, and determining the total operating power of the air conditioning unit according to the chiller power value, the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower;

[0030] The overall refrigeration energy efficiency of the air-conditioning unit is determined according to the first refrigeration capacity of the air-conditioning unit, the total operating power of the air-conditioning unit and the first energy efficiency calculation formula; the first energy efficiency calculation formula is:

[0031] Among them, EER represents the overall cooling energy efficiency of the air-conditioning unit, P1 represents the chiller power value, P2 represents the operating power of the cooling water pump, P3 represents the operating power of the fan, and P4 represents the operating power of the cooling tower; Q L represents the total heat loss;

[0032] The cooling energy efficiency of the air-conditioning unit for each room is determined according to the second cooling capacity group of the air-conditioning unit, the total operating power of the air-conditioning unit and the second energy efficiency calculation formula; the second energy efficiency calculation formula is: Among them, EEP i represents the cooling energy efficiency of the i-th room, w i Represents the energy consumption weight of the i-th room in the overall building.

[0033] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the energy efficiency evaluation management method further includes:

[0034] Determine the operating time period information of the air-conditioning unit according to the current time point, and match the operating time period information with the clustering result to determine the category label corresponding to the corresponding operating time period information;

[0035] The outdoor temperature information, outdoor humidity information and category labels are obtained to construct input feature parameters;

[0036] The input characteristic parameters are input into a pre-built working condition identification model for identification to determine the operating status data of the air-conditioning unit; and corresponding control operations are performed based on the operating status data of the air-conditioning unit.

[0037] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the operating condition identification model is obtained by the following steps:

[0038] The sample data of the air conditioner working condition is obtained, and the sample data is used as the initial node, wherein the sample data includes the operation record of the air conditioner under different working conditions, and the sample data includes the outdoor temperature, the indoor set temperature, the humidity, the wind speed and the power consumption;

[0039] Traversing all feature parameters and corresponding splitting points in the sample data, calculating the information gain parameter of each splitting point, and selecting the splitting point with the largest information gain parameter as the best splitting node for the current node;

[0040] According to the optimal splitting node, the current node is split into two or more child nodes; and the above child nodes are used as the starting points of subsequent splits, and the above splitting steps are continuously repeated until the set stopping conditions are met, and the set stopping conditions include that all nodes belong to the same category or the information gain parameters of all nodes are less than the set threshold.

[0041] As an optional implementation, in the first aspect of the embodiment of the present invention, after determining the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, the method further includes:

[0042] Determine whether the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of the air-conditioning unit for each room meet the preset equipment operation conditions;

[0043] When it is determined that the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room do not meet the preset equipment operation conditions, determining a first energy efficiency parameter of the air-conditioning unit according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, and determining a second energy efficiency parameter according to the equipment operation conditions;

[0044] Calculating an energy efficiency difference between the first energy efficiency parameter and the second energy efficiency parameter;

[0045] According to the energy efficiency difference, an optimization adjustment strategy of the air-conditioning unit is determined to achieve optimized operation of each device in the air-conditioning unit.

[0046] A second aspect of an embodiment of the present invention discloses a refrigeration energy efficiency evaluation management system, including:

[0047] The first receiving module is used to receive the air inlet sensor parameters of the air inlet sensor monitoring point set at the air inlet duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0048] The second receiving module is used to receive the air outlet sensor parameters detected by the air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determine the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table;

[0049] Acquisition module: used to acquire air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameter of each room based on the air supply distance information;

[0050] A calculation module: used to calculate the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0051] Data update module: used to obtain the operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

[0052] A third aspect of an embodiment of the present invention discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the refrigeration energy efficiency evaluation management method disclosed in the first aspect of the embodiment of the present invention.

[0053] A fourth aspect of an embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the refrigeration energy efficiency evaluation management method disclosed in the first aspect of an embodiment of the present invention.

[0054] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0055] The refrigeration energy efficiency evaluation management method in the embodiment of the present invention not only calculates the cooling capacity of the air-conditioning unit as a whole, but also calculates the cooling capacity of each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to discover and optimize energy efficiency problems in a single room. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0057] Figure 1 It is a flow chart of the refrigeration energy efficiency evaluation management method disclosed in the embodiment of the present invention;

[0058] Figure 2 is a schematic diagram of a process for determining refrigeration energy efficiency disclosed in an embodiment of the present invention;

[0059] Figure 3 It is a schematic diagram of a process for determining operating status data disclosed in an embodiment of the present invention;

[0060] Figure 4 It is a schematic diagram of the process of constructing the working condition identification model disclosed in the embodiment of the present invention;

[0061] Figure 5 It is a schematic diagram of the process of strategy optimization disclosed in an embodiment of the present invention;

[0062] Figure 6 It is a structural diagram of a refrigeration energy efficiency evaluation management system provided by an embodiment of the present invention;

[0063] Figure 7 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] It should be noted that the terms "first", "second", "third", "fourth", etc. in the specification and claims of the present invention are used to distinguish different objects rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present invention and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0066] The existing energy consumption data are generally data under ideal conditions measured in the laboratory, which cannot reflect the actual usage status. In the actual use of commercial buildings, due to the influence of various factors (such as personnel activities, equipment use, external environmental changes, etc.), the energy consumption situation is often more complex and changeable than under laboratory conditions. However, traditional energy consumption measurement methods are often based on static and idealized conditions, which are difficult to accurately reflect the energy consumption characteristics of buildings in actual use. In addition, commercial buildings usually lack efficient and real-time energy consumption monitoring and management systems. This makes it difficult for building managers to obtain accurate energy consumption data in a timely manner and to effectively analyze and control energy consumption. Based on this, the embodiment of the present invention discloses a refrigeration energy efficiency evaluation management method, system, electronic device and storage medium, which not only calculates the overall cooling capacity of the air-conditioning unit, but also calculates the cooling capacity for each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to discover and optimize energy efficiency problems in a single room.

[0067] Embodiment 1

[0068] See also Figure 1 , Figure 1 It is a flow chart of the refrigeration energy efficiency evaluation management method disclosed in the embodiment of the present invention. Among them, the execution subject of the method described in the embodiment of the present invention is an execution subject composed of software and / or hardware, and the execution subject can receive relevant information by wired or / and wireless means, and can send certain instructions. Of course, it can also have certain processing functions and storage functions. The execution subject can control multiple devices, such as a remote physical server or cloud server and related software, or it can be a local host or server and related software that performs related operations on a device placed somewhere. In some scenarios, multiple storage devices can also be controlled, and the storage devices can be placed in the same place or different places as the devices. For example Figure 1 As shown, the refrigeration energy efficiency evaluation management method includes the following steps:

[0069] S101: receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of an air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0070] S102: receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table;

[0071] S103: Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine heat loss parameters of each room based on the air supply distance information;

[0072] S104: Calculating a first cooling capacity and a second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0073] S105: Obtain operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

[0074] The solution of the embodiment of the present invention can obtain the sensing parameters of the air inlet and outlet in real time and accurately by setting sensor monitoring points in the air inlet duct and each air outlet of the air conditioning unit. These parameters, combined with the pre-built sensor-heat mapping table, can accurately determine the thermal state outside the building and the indoor thermal state of each room in the building. This precise monitoring provides a reliable data basis for subsequent refrigeration energy efficiency evaluation.

[0075] The method of the embodiment of the present invention not only calculates the first cooling capacity representing the overall cooling capacity of the building, but also calculates the second cooling capacity group representing the cooling capacity of each room in the building. This detailed distinction enables energy efficiency evaluation to be specific to each room, thereby more accurately reflecting the actual cooling effect of the air conditioning unit in different rooms.

[0076] By obtaining the air supply distance information to determine the heat loss parameters of each room, this step takes into account the energy loss during the air supply process, making the energy efficiency evaluation more comprehensive and accurate. This helps to identify and optimize energy efficiency issues caused by long air supply distances or improper duct design.

[0077] The embodiment of the present invention determines the heat loss parameters of each room by obtaining the air supply distance information. This step takes into account the energy loss during the air supply process, making the energy efficiency evaluation more comprehensive and accurate. This helps to identify and optimize the energy efficiency reduction problems caused by long air supply distance or improper pipeline design. It can even assist in evaluating the pipeline status during specific implementation and perform maintenance on abnormal pipeline sections.

[0078] The overall data table is updated based on the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room, which means that this management method is a dynamic and continuous optimization process. By continuously collecting and analyzing data, energy efficiency problems can be discovered in a timely manner and corresponding measures can be taken to improve them, thereby achieving long-term energy efficiency improvements.

[0079] Overall, this method helps improve the energy efficiency of air-conditioning units through precise monitoring, personalized evaluation, consideration of heat loss factors and dynamic updates. This can not only reduce the energy consumption cost of buildings, but also help reduce carbon emissions and achieve sustainable development.

[0080] More preferably, the air inlet sensor parameters include outdoor dry-bulb temperature, outdoor wet-bulb temperature, air inlet speed information and a first measurement period; the air outlet sensor parameters include indoor dry-bulb temperature, indoor wet-bulb temperature, air outlet speed information and a second measurement period;

[0081] The determining of the outdoor heat state value of the corresponding building according to the air inlet sensor parameter and a pre-built sensor-heat mapping table includes:

[0082] S1011: Determine corresponding outdoor humidity information according to the outdoor dry-bulb temperature and the outdoor wet-bulb temperature;

[0083] S1012: performing data matching with a pre-built sensor-heat mapping table according to the outdoor dry-bulb temperature, outdoor wet-bulb temperature and outdoor humidity information to determine an outdoor heat state value of a corresponding building;

[0084] The method of determining the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table includes:

[0085] S1021: Determine corresponding indoor humidity information according to the indoor dry-bulb temperature and the indoor wet-bulb temperature;

[0086] S1021: performing data matching with a pre-built sensor-heat mapping table according to the indoor dry-bulb temperature, indoor wet-bulb temperature, and indoor humidity information to determine indoor heat state values ​​of each room in the building;

[0087] The method of calculating the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point includes:

[0088] Determine the air volume parameter of the corresponding air inlet sensor monitoring point according to the air inlet speed information of the air inlet sensor monitoring point and the first measurement period;

[0089] Determine the air volume parameter of the corresponding air outlet sensor monitoring point according to the air outlet speed information detected by each air outlet sensor monitoring point and the second measurement period;

[0090] The first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit are determined according to the outdoor heat state value of the building, the indoor heat state value of each room in the building, and a preset cooling calculation formula; the cooling calculation formula includes:

[0091]

[0092] Q i =L i ×(HT o -HT i )

[0093] Among them, Q t It represents the first cooling capacity, which is the total cooling capacity of the entire building; Q i represents the second cooling capacity, that is, the cooling capacity of the i-th room; L represents the air volume parameter, L i represents the air volume parameter of the ith room, HT o Indicates the outdoor heat status value, HT i represents the indoor thermal state of the i-th room, and n is the total number of rooms.

[0094] The solution of the embodiment of the present invention makes the monitoring data more comprehensive and accurate by refining the inlet and outlet air sensing parameters (such as including dry bulb temperature, wet bulb temperature, speed information and measurement period). This helps to more accurately reflect the outdoor and indoor heat status and improve the accuracy of energy efficiency evaluation.

[0095] By calculating humidity information based on dry-bulb temperature and wet-bulb temperature, this method takes into account the impact of humidity on the cooling effect. Humidity is an important factor affecting human comfort and cooling efficiency, so the introduction of humidity information can more comprehensively evaluate cooling energy efficiency.

[0096] The calculation of cooling capacity not only takes into account the air volume parameters of the inlet and outlet air, but also combines the outdoor heat state value and the indoor heat state value. Through the pre-set cooling calculation formula, the first cooling capacity (the total cooling capacity of the entire building) and the second cooling capacity (the cooling capacity of each room) of the air conditioning unit can be accurately calculated. This precise calculation helps to more accurately evaluate the energy efficiency of the air conditioning unit.

[0097] This method not only evaluates the overall cooling energy efficiency of the air conditioning unit, but also conducts a personalized energy efficiency assessment for each room. This comprehensive assessment method helps to identify energy efficiency bottlenecks and take targeted optimization measures.

[0098] Through precise energy efficiency assessment and personalized optimization measures, this method helps optimize the operation of air conditioning units and improve energy efficiency. This not only helps reduce the energy consumption costs of buildings, but also helps reduce carbon emissions and achieve sustainable development.

[0099] More preferably, the first measurement period is different from the second measurement period, and the second measurement period is determined according to the first measurement period and the air supply distance information;

[0100] The determining of the heat loss parameters of each room based on the air supply distance information includes:

[0101] The heat loss parameters of each room are determined according to the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance, the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance are matched with a preset heat loss table to determine the corresponding loss comparison parameters, and the heat loss parameters of each room are matched with the corresponding loss comparison parameters. If the requirements are met, the operation of the equipment in the air-conditioning unit will not be adjusted. If the requirements are not met, the operation parameters of the equipment in the air-conditioning unit will be adjusted.

[0102] The scheme of the embodiment of the present invention takes into account the possible delays and changes in the air supply process by setting the first measurement period and the second measurement period differently. By adjusting the second measurement period according to the air supply distance information, it is possible to ensure that accurate air outlet sensor parameters are obtained at an appropriate time point, thereby improving the accuracy of energy efficiency evaluation. The heat loss parameters of each room are determined according to the outdoor dry bulb temperature, the indoor dry bulb temperature and the air supply distance. This step takes into account the influence of multiple factors on heat loss. By matching the pre-set heat loss table, the heat loss situation of each room can be dynamically determined, providing a basis for subsequent energy efficiency evaluation and equipment adjustment. The method proposes to determine whether to adjust the operation of the equipment in the air-conditioning unit according to the matching results of the heat loss parameter and the loss comparison parameter. This intelligent equipment adjustment method can automatically optimize the operating parameters of the air-conditioning unit according to the actual situation, thereby improving energy efficiency and reducing energy consumption. By regularly monitoring and evaluating the heat loss parameters and adjusting the equipment as needed, the method realizes the continuity and dynamism of energy efficiency optimization. This helps to ensure that the air-conditioning unit can maintain the best energy efficiency under different conditions. Taking into account the time difference, air supply distance and heat loss parameters, this method can more accurately evaluate the energy efficiency of air conditioning units and take targeted optimization measures. This not only helps to improve energy utilization efficiency, but also reduces energy consumption costs, achieving a win-win situation in economic and environmental benefits.

[0103] More preferably, Figure 2 As shown, the obtaining of operating power information of each device in the air-conditioning unit, and determining the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of the air-conditioning unit for each room according to the operating power information, the first cooling capacity and the second cooling capacity group of the air-conditioning unit, and the heat loss parameters of each room, include:

[0104] S1041: Calculate the refrigeration power value of the air-conditioning unit according to a pre-constructed refrigeration power calculation formula and the acquired first cooling capacity, evaporation temperature information, condensation temperature information, and refrigeration efficiency information of the air-conditioning unit; the refrigeration power calculation formula is: Among them, P1 represents the operating power of the chiller; Q t is the first cooling capacity, T0 represents the evaporation temperature information, T k represents the condensation temperature information, and η represents the refrigeration efficiency information;

[0105] S1042: Obtaining the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower, and determining the total operating power of the air conditioning unit according to the chiller power value, the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower;

[0106] S1043: Determine the overall cooling energy efficiency of the air-conditioning unit according to the first cooling capacity of the air-conditioning unit, the total operating power of the air-conditioning unit, and a first energy efficiency calculation formula; the first energy efficiency calculation formula is:

[0107] Among them, EER represents the overall cooling energy efficiency of the air-conditioning unit, P1 represents the chiller power value, P2 represents the operating power of the cooling water pump, P3 represents the operating power of the fan, and P4 represents the operating power of the cooling tower; Q L represents the total heat loss;

[0108] S1044: Determine the cooling energy efficiency of the air-conditioning unit for each room according to the second cooling capacity group of the air-conditioning unit, the total operating power of the air-conditioning unit, and a second energy efficiency calculation formula; the second energy efficiency calculation formula is: Among them, EER i represents the cooling energy efficiency of the i-th room, w i Represents the energy consumption weight of the i-th room in the overall building.

[0109] The scheme of the embodiment of the present invention comprehensively considers factors such as the cooling capacity, energy consumption, and heat loss of the air-conditioning unit, and the method can accurately evaluate the overall energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room. This helps to discover energy efficiency problems and take targeted measures to optimize them. By calculating the cooling energy efficiency and energy consumption weights of each room, the method can identify rooms with low energy efficiency and focus on optimizing them. This helps to reduce energy consumption costs and improve energy utilization efficiency. The method combines technical means such as sensor monitoring, data analysis, and energy efficiency calculation to achieve intelligent management of the energy efficiency of the air-conditioning unit. By real-time monitoring and evaluation of energy efficiency data, energy efficiency problems can be discovered and adjusted in a timely manner to ensure that the air-conditioning unit is always in the best working state. By improving the energy efficiency level of the air-conditioning unit, the method helps to reduce carbon emissions and energy consumption and promote sustainable development. This is of great significance for achieving energy conservation and emission reduction goals and promoting the development of green buildings.

[0110] In the embodiment of the present invention, i Dynamic adjustment is performed based on the actual parameters of each area. It can be dynamically determined based on the area, number of people, door opening status, and window opening status, so that it can be more in line with the actual situation. By dynamically adjusting w i This makes the final calculation more accurate.

[0111] More preferably, Figure 3 As shown, the energy efficiency evaluation management method further includes:

[0112] S100a: Determine the operating time period information of the air-conditioning unit according to the current time point, and match the clustering results based on the operating time period information to determine the category label corresponding to the corresponding operating time period information; in this step, the system first determines the operating time period information of the air-conditioning unit according to the current time point. This usually involves matching the current time with a preset time period (such as morning, noon, evening, night, etc.) to determine the current operating time period. Then, the system matches the clustering results obtained by cluster analysis based on the operating time period information. Cluster analysis may be performed based on historical data (such as outdoor temperature, humidity, load demand, etc. in different time periods) to identify typical operating modes or category labels of air-conditioning units in different time periods. Through matching, the system can determine the category label corresponding to the current operating time period, which helps to construct the input feature parameters of the subsequent working condition identification model.

[0113] More preferably, the operating time period information here refers to the power-on time period, stable operating time period, commercial area operating time period and shutdown operating time period; there are different operating categories in different time periods, for example, there are 3 clusters in the power-on time period, the first type of power-on time period is different from 7:00 to 8:30, the second type of power-on time is concentrated at 7:00, and the third type of power-on time is concentrated at 7:30; in different states, the load of the corresponding air-conditioning unit is different; there are 2 clusters in the stable operating time period, and there are also 2 clusters in the commercial area operating time period. The 2 categories of stable operating time period and commercial area operating time period refer to different operating loads respectively; there is also 1 cluster in the shutdown time period. By dividing different time periods into specific categories, subsequent identification can be made more accurate.

[0114] S100b: The outdoor temperature information, outdoor humidity information and category labels are obtained to construct input feature parameters; after determining the category label of the current operating period, the system further obtains outdoor temperature information and outdoor humidity information. This information is usually obtained in real time through sensors installed outdoors. The system combines this information with the category label to construct input feature parameters. These feature parameters will be used as input to the operating condition identification model to identify the operating status data of the air-conditioning unit.

[0115] S100c: Input the input characteristic parameters into a pre-built working condition identification model for identification to determine the operating status data of the air-conditioning unit; and perform corresponding control operations based on the operating status data of the air-conditioning unit. The system inputs the constructed input characteristic parameters into the pre-built working condition identification model. The model may be trained based on a machine learning algorithm (such as a neural network, a support vector machine, a decision tree, etc.) to identify the operating status data of the air-conditioning unit under different working conditions. The working condition identification model outputs the operating status data of the air-conditioning unit, such as cooling capacity, air supply volume, energy consumption, etc. These data reflect the performance of the air-conditioning unit under the current working conditions. Based on these operating status data, the system can perform corresponding control operations. For example, if it is identified that the energy consumption of the air-conditioning unit is too high under the current working conditions, the system can automatically adjust the operating parameters of the air-conditioning unit (such as reducing the air supply volume, increasing the evaporation temperature, etc.) to reduce energy consumption and improve energy efficiency. When setting specific strategies, different strategy configurations can be used in different time periods, and specific adjustments can be made based on parameters such as time, number of units, set temperature, and set frequency.

[0116] The solution of the embodiment of the present invention combines the operating time period information, outdoor temperature information and outdoor humidity information, as well as a pre-built operating condition identification model, and the method can realize accurate identification of the operating condition of the air-conditioning unit. This helps the system to more accurately understand the performance of the air-conditioning unit and take targeted control operations. Based on the operating condition identification results, the system can automatically adjust the operating parameters of the air-conditioning unit to achieve energy consumption reduction and energy efficiency improvement. This intelligent control optimization helps to reduce unnecessary energy consumption and improve energy utilization efficiency. The method improves the energy efficiency management level of the air-conditioning unit by introducing operating condition identification and control optimization technology. This helps building managers better understand the operating status of the air-conditioning unit, discover problems in a timely manner and take corresponding measures to optimize it.

[0117] More preferably, Figure 4 As shown, the working condition identification model is obtained through the following steps:

[0118] S100c1: Obtain sample data of air conditioner working conditions, and use the sample data as the initial node, the sample data including operation records of the air conditioner under different working conditions, the sample data including outdoor temperature, indoor set temperature, humidity, wind speed and power consumption;

[0119] S100c2: traverse all feature parameters and corresponding splitting points in the sample data, calculate the information gain parameter of each splitting point, and select the splitting point with the largest information gain parameter as the best splitting node for the current node;

[0120] S100c3: Split the current node into two or more child nodes according to the optimal splitting node; and use the above child nodes as the starting points of subsequent splitting, and continuously repeat the above splitting steps until a set stopping condition is met, wherein the set stopping condition includes that all nodes belong to the same category or the information gain parameters of all nodes are less than a set threshold.

[0121] This method can efficiently process a large amount of sample data of air-conditioning working conditions, including multiple characteristic parameters such as outdoor temperature, indoor set temperature, humidity, wind speed and power consumption. By traversing all characteristic parameters and corresponding splitting points, calculating information gain parameters, and selecting the optimal splitting point for node splitting, this method can gradually build a complex working condition recognition model. By continuously splitting nodes and optimizing the working condition recognition model, this method can build a working condition recognition model with high precision and high generalization ability. The model can accurately identify the operating status of the air conditioner under different working conditions and provide reliable data support for subsequent energy efficiency evaluation and management. This method allows the splitting conditions and stop conditions to be flexibly adjusted during the model construction process to meet the needs of different scenarios. For example, the depth of the decision tree can be controlled by setting different information gain thresholds to balance the complexity and recognition accuracy of the model.

[0122] The solution of the embodiment of the present invention supports online updating and optimization of the model as new data is continuously generated and accumulated. By introducing new sample data and retraining the model, the recognition accuracy and generalization ability of the model can be continuously improved. By accurately identifying the air-conditioning working conditions and taking corresponding control strategies, the method helps to reduce the energy consumption of the air-conditioning system and improve the energy efficiency level. This is of great significance for achieving the goals of energy conservation and emission reduction and promoting the development of green buildings. At the same time, the method also provides building managers with an effective energy efficiency management tool, which helps to improve the overall energy efficiency level of the building.

[0123] More preferably, Figure 5 As shown, after determining the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, the method further includes:

[0124] S106: Determine whether the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room meet preset equipment operation conditions;

[0125] S107: when it is determined that the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room do not meet the preset equipment operation condition, determining a first energy efficiency parameter of the air-conditioning unit according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, and determining a second energy efficiency parameter according to the equipment operation condition;

[0126] S108: Calculating an energy efficiency difference between the first energy efficiency parameter and the second energy efficiency parameter;

[0127] S109: Determine an optimization adjustment strategy for the air-conditioning unit according to the energy efficiency difference to achieve optimized operation of each device in the air-conditioning unit.

[0128] The solution implemented in the present invention can accurately evaluate the energy efficiency performance of the air-conditioning unit by judging whether the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of each room meet the preset equipment operating conditions. This helps to discover energy efficiency problems in a timely manner and provide data support for subsequent optimization and adjustment.

[0129] When it is determined that the energy efficiency does not meet the preset conditions, the process compares the actual energy efficiency parameters of the air-conditioning unit (the first energy efficiency parameter) with the preset equipment operating conditions (the second energy efficiency parameter). By calculating the energy efficiency difference, the energy efficiency gap can be quantified, providing clear guidance for subsequent optimization and adjustment.

[0130] Based on the energy efficiency difference, the process can determine the optimization adjustment strategy of the air conditioning unit. These strategies may include adjusting the operating parameters of the air conditioning unit (such as cooling capacity, air supply volume, evaporation temperature, etc.), optimizing equipment configuration (such as replacing more efficient equipment), improving the control system, etc. By implementing these strategies, the optimized operation of each device in the air conditioning unit can be achieved and the energy efficiency level can be improved.

[0131] The process improves the energy efficiency management of air conditioning units through accurate energy efficiency assessment and clear optimization adjustment strategies. This helps to reduce unnecessary energy consumption, lower operating costs, and also helps to improve the overall energy efficiency of the building.

[0132] The embodiment of the present invention divides each building into areas accurately. Each area can be configured with acquired parameters including area, number of mobile people, number of door opening and closing times, door opening area, orientation, work unit type, etc. to realize the construction of attributes of each room. Then, based on the attributes, similar rooms are determined. By comparing rooms with the same conditions, specific energy efficiency comparison is performed to realize precise operation control of the corresponding air-conditioning unit.

[0133] The refrigeration energy efficiency evaluation management method in the embodiment of the present invention not only calculates the cooling capacity of the air-conditioning unit as a whole, but also calculates the cooling capacity of each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to discover and optimize energy efficiency problems in a single room.

[0134] Embodiment 2

[0135] See also Figure 6 , Figure 6 Schematic diagram of the structure of the refrigeration energy efficiency evaluation management system disclosed in the embodiment of the present invention. Figure 6 As shown, the refrigeration energy efficiency evaluation management system may include:

[0136] The first receiving module 21 is used to receive the air inlet sensor parameters of the air inlet sensor monitoring point set at the air inlet duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table;

[0137] The second receiving module 22 is used to receive the air outlet sensor parameters detected by the air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determine the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-constructed sensor-heat mapping table;

[0138] Acquisition module 23: used to acquire air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameter of each room based on the air supply distance information;

[0139] Calculation module 24: used to calculate the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building;

[0140] Data update module 25: used to obtain the operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

[0141] The refrigeration energy efficiency evaluation management method in the embodiment of the present invention not only calculates the cooling capacity of the air-conditioning unit as a whole, but also calculates the cooling capacity of each room in the building. This personalized evaluation method makes energy efficiency management more detailed and accurate, and helps to discover and optimize energy efficiency problems in a single room.

[0142] Embodiment 3

[0143] See also Figure 7 , Figure 7Schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. The electronic device may be a computer, a server, etc. Of course, in certain circumstances, it may also be a smart device such as a mobile phone, a tablet computer, a monitoring terminal, and an image acquisition device with processing functions. Figure 7 As shown, the electronic device may include:

[0144] A memory 510 storing executable program codes;

[0145] a processor 520 coupled to the memory 510;

[0146] The processor 520 calls the executable program code stored in the memory 510 to execute part or all of the steps in the refrigeration energy efficiency evaluation management method in the first embodiment.

[0147] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute part or all of the steps in the refrigeration energy efficiency evaluation management method in the first embodiment.

[0148] The embodiment of the present invention further discloses a computer program product, wherein when the computer program product is run on a computer, the computer is enabled to execute part or all of the steps in the refrigeration energy efficiency evaluation management method in the first embodiment.

[0149] An embodiment of the present invention further discloses an application publishing platform, wherein the application publishing platform is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer executes part or all of the steps in the refrigeration energy efficiency evaluation management method in embodiment one.

[0150] In various embodiments of the present invention, it should be understood that the size of the serial numbers of the processes does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0151] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0152] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0153] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to perform some or all of the steps of the method described in each embodiment of the present invention.

[0154] In the embodiments provided by the present invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0155] A person of ordinary skill in the art can understand that some or all of the steps in the various methods of the embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0156] The refrigeration energy efficiency evaluation management method, system, electronic device and storage medium disclosed in the embodiments of the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A refrigeration energy efficiency evaluation management method, characterized in that: include: Receiving air inlet sensor parameters of an air inlet sensor monitoring point arranged at an air inlet duct of the air conditioning unit, and determining an outdoor heat state value of a corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table; Receiving air outlet sensor parameters detected by air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determining indoor heat state values ​​of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and a pre-constructed sensor-heat mapping table; Acquire air supply distance information between each air outlet sensor monitoring point and each air inlet sensor monitoring point, and determine heat loss parameters of each room based on the air supply distance information; The first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit are calculated according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building; Obtain operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit, and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

2. The refrigeration energy efficiency evaluation management method according to claim 1, characterized in that: The air inlet sensor parameters include outdoor dry-bulb temperature, outdoor wet-bulb temperature, air inlet speed information and a first measurement period; the air outlet sensor parameters include indoor dry-bulb temperature, indoor wet-bulb temperature, air outlet speed information and a second measurement period; The determining of the outdoor heat state value of the corresponding building according to the air inlet sensor parameter and a pre-built sensor-heat mapping table includes: Determine corresponding outdoor humidity information according to the outdoor dry-bulb temperature and the outdoor wet-bulb temperature; According to the outdoor dry-bulb temperature, outdoor wet-bulb temperature and outdoor humidity information, data matching is performed with a pre-built sensor-heat mapping table to determine an outdoor thermal state value of a corresponding building; The method of determining the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table includes: Determine corresponding indoor humidity information according to the indoor dry-bulb temperature and the indoor wet-bulb temperature; According to the indoor dry-bulb temperature, indoor wet-bulb temperature and indoor humidity information, data matching is performed with a pre-built sensor-heat mapping table to determine the indoor thermal state value of each room in the building; The method of calculating the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point includes: Determine the air volume parameter of the corresponding air inlet sensor monitoring point according to the air inlet speed information of the air inlet sensor monitoring point and the first measurement period; Determine the air volume parameter of the corresponding air outlet sensor monitoring point according to the air outlet speed information detected by each air outlet sensor monitoring point and the second measurement period; The first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit are determined according to the outdoor heat state value of the building, the indoor heat state value of each room in the building, and a preset cooling calculation formula; the cooling calculation formula includes: Q i =L i ×(HT o -HT i ) Among them, Q t It represents the first cooling capacity, which is the total cooling capacity of the entire building; Q i represents the second cooling capacity, that is, the cooling capacity of the i-th room; L represents the air volume parameter, L i represents the air volume parameter of the i-th room, HT o Indicates the outdoor heat status value, HT i represents the indoor thermal state of the i-th room, and n is the total number of rooms.

3. The refrigeration energy efficiency evaluation management method according to claim 2, characterized in that: The first measurement period is different from the second measurement period, and the second measurement period is determined according to the first measurement period and the air supply distance information; The determining of the heat loss parameters of each room based on the air supply distance information includes: The heat loss parameters of each room are determined according to the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance, the outdoor dry-bulb temperature, the indoor dry-bulb temperature and the air supply distance are matched with a preset heat loss table to determine the corresponding loss comparison parameters, and the heat loss parameters of each room are matched with the corresponding loss comparison parameters. If the requirements are met, the operation of the equipment in the air-conditioning unit will not be adjusted. If the requirements are not met, the operation parameters of the equipment in the air-conditioning unit will be adjusted.

4. The refrigeration energy efficiency evaluation management method according to claim 2, characterized in that: The obtaining of operating power information of each device in the air-conditioning unit, and determining the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of the air-conditioning unit for each room according to the operating power information, the first cooling capacity and the second cooling capacity group of the air-conditioning unit, and the heat loss parameters of each room, include: The refrigeration power value of the air-conditioning unit is calculated according to the pre-constructed refrigeration power calculation formula and the first refrigeration capacity, evaporation temperature information, condensation temperature information, and refrigeration efficiency information of the air-conditioning unit; the refrigeration power calculation formula is: Among them, P1 represents the operating power of the chiller; Q t is the first cooling capacity, T0 represents the evaporation temperature information, T k represents the condensation temperature information, and η represents the refrigeration efficiency information; Obtaining the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower, and determining the total operating power of the air conditioning unit according to the chiller power value, the operating power of the cooling water pump, the operating power of the fan, and the operating power of the cooling tower; The overall refrigeration energy efficiency of the air-conditioning unit is determined according to the first refrigeration capacity of the air-conditioning unit, the total operating power of the air-conditioning unit and the first energy efficiency calculation formula; the first energy efficiency calculation formula is: Among them, EER represents the overall cooling energy efficiency of the air-conditioning unit, P1 represents the chiller power value, P2 represents the operating power of the cooling water pump, P3 represents the operating power of the fan, and P4 represents the operating power of the cooling tower; Q L represents the total heat loss; The cooling energy efficiency of the air-conditioning unit for each room is determined according to the second cooling capacity group of the air-conditioning unit, the total operating power of the air-conditioning unit and the second energy efficiency calculation formula; the second energy efficiency calculation formula is: Among them, EER i represents the cooling energy efficiency of the i-th room, w i Represents the energy consumption weight of the i-th room in the overall building.

5. The refrigeration energy efficiency evaluation management method according to claim 1, characterized in that: The energy efficiency evaluation management method further includes: Determine the operating time period information of the air-conditioning unit according to the current time point, and match the operating time period information with the clustering result to determine the category label corresponding to the corresponding operating time period information; The outdoor temperature information, outdoor humidity information and category labels are obtained to construct input feature parameters; The input characteristic parameters are input into a pre-built working condition identification model for identification to determine the operating status data of the air-conditioning unit; and corresponding control operations are performed based on the operating status data of the air-conditioning unit.

6. The refrigeration energy efficiency evaluation management method according to claim 5, characterized in that: The working condition identification model is obtained through the following steps: The sample data of the air conditioner working condition is obtained, and the sample data is used as the initial node, wherein the sample data includes the operation record of the air conditioner under different working conditions, and the sample data includes the outdoor temperature, the indoor set temperature, the humidity, the wind speed and the power consumption; Traversing all feature parameters and corresponding splitting points in the sample data, calculating the information gain parameter of each splitting point, and selecting the splitting point with the largest information gain parameter as the best splitting node for the current node; According to the optimal splitting node, the current node is split into two or more child nodes; and the above child nodes are used as the starting points of subsequent splits, and the above splitting steps are continuously repeated until the set stopping conditions are met, and the set stopping conditions include that all nodes belong to the same category or the information gain parameters of all nodes are less than the set threshold.

7. The refrigeration energy efficiency evaluation management method according to claim 1, characterized in that: After determining the overall cooling energy efficiency of the air conditioning unit and the cooling energy efficiency of the air conditioning unit for each room, the method further includes: Determine whether the overall cooling energy efficiency of the air-conditioning unit and the cooling energy efficiency of the air-conditioning unit for each room meet the preset equipment operation conditions; When it is determined that the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room do not meet the preset equipment operation conditions, determining a first energy efficiency parameter of the air-conditioning unit according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room, and determining a second energy efficiency parameter according to the equipment operation conditions; Calculating an energy efficiency difference between the first energy efficiency parameter and the second energy efficiency parameter; According to the energy efficiency difference, an optimization adjustment strategy of the air-conditioning unit is determined to achieve optimized operation of each device in the air-conditioning unit.

8. A refrigeration energy efficiency evaluation and management system, characterized in that: include: The first receiving module is used to receive the air inlet sensor parameters of the air inlet sensor monitoring point set at the air inlet duct of the air conditioning unit, and determine the outdoor heat state value of the corresponding building according to the air inlet sensor parameters and a pre-constructed sensor-heat mapping table; The second receiving module is used to receive the air outlet sensor parameters detected by the air outlet sensor monitoring points arranged at each air outlet of the air conditioning unit, and determine the indoor heat state value of each room in the building according to the air outlet sensor parameters detected by the air outlet sensor monitoring points at each air outlet and the pre-built sensor-heat mapping table; Acquisition module: used to acquire air supply distance information between each air outlet sensor monitoring point and the air inlet sensor monitoring point, and determine the heat loss parameter of each room based on the air supply distance information; A calculation module: used to calculate the first cooling capacity and the second cooling capacity group of the corresponding air-conditioning unit according to the air inlet sensor parameters of the air inlet sensor monitoring point and the air outlet sensor parameters detected by each air outlet sensor monitoring point, wherein the second cooling capacity group includes a plurality of second cooling capacity data, the first cooling capacity is used to characterize the cooling capacity data of the entire building, and the second cooling capacity data is used to characterize the cooling capacity data of each room in the building; Data update module: used to obtain the operating power information of each device in the air-conditioning unit, and determine the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room according to the operating power information, the first refrigeration capacity and the second refrigeration capacity group of the air-conditioning unit and the heat loss parameters of each room; and update the overall data table according to the overall refrigeration energy efficiency of the air-conditioning unit and the refrigeration energy efficiency of the air-conditioning unit for each room.

9. An electronic device, characterized in that: include: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the refrigeration energy efficiency evaluation and management method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute the refrigeration energy efficiency evaluation and management method according to any one of claims 1 to 7.

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