A method and system for adjusting a cold and heat source of a fabricated building

Abstract

The application belongs to the field of air conditioning system control, and provides a fabricated building cold and heat source adjusting method and system, determines the current cold and heat demand of the fabricated building; obtains the external environment temperature; determines the performance parameters of the equipment, the performance of the air source heat pump changes with the external environment temperature, and the performance parameters of the electric power refrigeration and heating system are fixed; determines the maximum output capacity of the air source heat pump and the electric power refrigeration and heating system; compares the current unit energy consumption of the air source heat pump and the electric power refrigeration and heating system; preliminarily allocates the load, under the premise of not exceeding the maximum capacity, makes the efficient equipment undertake more load, if the maximum capacity of the efficient equipment is insufficient to meet all the demands, then allocates the remaining demands to the less efficient equipment; according to the calculation result, sets the operation load of the air source heat pump and the electric power refrigeration and heating system. The above scheme can efficiently adjust the cold and heat source of the fabricated building.

Description

Technical Field

[0001] This invention belongs to the field of air conditioning system control, and specifically relates to a method and system for regulating the cold and heat sources of prefabricated buildings. Background Technology

[0002] Prefabricated construction, as a new type of construction method, has been widely used globally in recent years due to its advantages such as fast construction speed, environmental friendliness, energy conservation, and flexible modular design. Especially in fields requiring rapid construction, such as medical facilities, stadiums, and data centers, prefabricated construction has demonstrated significant advantages. The modular structure of prefabricated buildings allows for the rapid expansion of functional areas, and standardized components ensure consistent construction quality.

[0003] With the increasing demand for energy-efficient buildings in modern industry, more and more high-tech facilities, especially large computer rooms such as data centers, are gradually adopting prefabricated building technology to meet the growing computing and storage needs. These buildings have significantly different requirements for cooling and heating sources, typically requiring uninterrupted cooling or heating throughout the year, while also needing to consider efficient and energy-saving management.

[0004] However, the heating and cooling source requirements of prefabricated buildings differ significantly from those of traditional buildings due to their specific applications. Take data centers as an example: even in winter, continuously operating equipment can generate substantial heat, necessitating stable cooling throughout the year. Furthermore, to prevent dust from entering the air, data centers typically cannot rely on natural ventilation for heat dissipation, further increasing their dependence on cooling sources. Therefore, the heating and cooling source regulation solutions for prefabricated buildings must be flexible enough to adapt to complex usage scenarios, ensuring energy conservation and efficient operation while meeting heating and cooling demands. Summary of the Invention

[0005] To address the problems in the prior art, the present invention provides a method for regulating the cold and heat sources of prefabricated buildings, the method comprising the following steps:

[0006] Step 1: Determine the current heating and cooling requirements of the prefabricated building;

[0007] Step 2: Obtain the external ambient temperature;

[0008] Step 3: Determine the performance parameters of the equipment. The performance of an air source heat pump changes with the external ambient temperature, while the performance parameters of an electric refrigeration and heating system are fixed.

[0009] Step 4: Determine the maximum output capacity of the air source heat pump and the electric cooling and heating system;

[0010] Step 5: Compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems;

[0011] Step 6: Initially allocate the load, allowing high-efficiency equipment to handle more load without exceeding its maximum capacity. If the maximum capacity of high-efficiency equipment is insufficient to meet all demand, then allocate the remaining demand to less efficient equipment.

[0012] Step 7: Based on the calculation results, set the operating load of the air source heat pump and the electric cooling and heating system.

[0013] In another aspect, the present invention provides a prefabricated building heat and cold source regulation system, the system comprising the following modules:

[0014] The prediction module is used to predict environmental parameters using a first machine learning model, the environmental parameters including temperature, humidity, and duct pressure.

[0015] The first calculation module is used to determine the current heating and cooling requirements of the prefabricated building.

[0016] The first acquisition module is used to acquire the external ambient temperature;

[0017] The second acquisition module is used to determine the performance parameters of the equipment. The performance of the air source heat pump changes with the external ambient temperature, while the performance parameters of the electric cooling and heating system are fixed.

[0018] The second calculation module is used to determine the maximum output capacity of the air source heat pump and the electric cooling and heating system.

[0019] The comparison module is used to compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems;

[0020] The allocation module is used to initially allocate the load, allowing high-efficiency equipment to take on more load without exceeding its maximum capacity. If the maximum capacity of the high-efficiency equipment is insufficient to meet all the demand, the remaining demand is allocated to the less efficient equipment.

[0021] The operation module is used to set the operating load of the air source heat pump and the electric refrigeration and heating system based on the calculation results.

[0022] The above technical solution provides a method for regulating heat and cold sources based on historical data and similarity analysis, tailored to the characteristics of prefabricated buildings. The specific beneficial effects are as follows:

[0023] By leveraging historical data from similar prefabricated buildings, and constructing feature vectors combined with similarity calculations, the heat demand of a target building can be predicted more accurately. This big data-driven prediction method significantly improves the accuracy of regulation schemes, ensuring that the heating and cooling source systems can be adjusted according to actual needs.

[0024] While meeting the building's heating and cooling needs, priority is given to equipment with lower unit energy consumption (such as air source heat pumps), and more load is allocated to them within their maximum capacity. This method can optimize the load allocation of heating and cooling sources based on changes in real-time ambient temperature and equipment performance, minimizing energy consumption and improving the overall energy efficiency of the system.

[0025] This method can flexibly adjust the operating ratio of the air source heat pump and the electric cooling and heating system according to real-time changes in the external ambient temperature. Through dynamic adjustment, the system can quickly respond to fluctuations in different weather conditions or building loads, ensuring the stability and comfort of building temperature control.

[0026] Through this adjustment method, prefabricated buildings can effectively achieve the goals of energy conservation and emission reduction in actual operation, while providing building users with more comfortable and efficient environmental conditions, and improving the overall operating efficiency and economic benefits of the building. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0029] The invention will now be described in preferred form with reference to the accompanying drawings and specific embodiments.

[0030] This embodiment solves the above problems through the following steps:

[0031] In one embodiment, reference Figure 1 This invention provides a method for regulating the cold and heat sources of prefabricated buildings. The method aims to rationally adjust the operating status and proportion of cold and heat sources (air source heat pumps, electric refrigeration and heating systems, etc.) according to the actual heating and cooling needs of the building and external environmental conditions, so as to achieve the goals of energy conservation and emission reduction, improving energy efficiency and meeting indoor comfort.

[0032] Step 1: Determine your current heating and cooling needs.

[0033] Prefabricated buildings, due to their use of standardized and modular prefabricated components, exhibit relatively consistent structures, spatial layouts, thermal performance, and responses to the external environment. This means that under the same climatic conditions, prefabricated buildings with similar structures and uses will show similar trends in heat demand and energy consumption. Therefore, by analyzing the ambient temperature and cooling / heating power data of other prefabricated buildings with similar structural, functional, and area characteristics to the target building, the heat demand of the target building can be effectively predicted.

[0034] Establish a database for prefabricated buildings, which includes at least the building's structural information, ambient temperature, and cooling / heating information.

[0035] First, a database of prefabricated buildings needs to be established. This database should include basic structural information, intended use, geographical location, area, floor height, and other key attributes, as well as environmental temperature and heating / cooling information. This data will help identify prefabricated buildings with similar structures and uses to the target building.

[0036] Prefabricated buildings are organized into feature vectors, which are specifically (use, building area, building volume, material type, window area ratio).

[0037] We need to construct a corresponding feature vector for each prefabricated building for subsequent similarity analysis. These features should adequately describe the building's basic attributes. The main factors affecting heat demand include building use, building area, building volume, material type, and window area ratio.

[0038] Feature vector definition: (use, building area, building volume, material type, window area ratio);

[0039] Purpose: The functional type of the building (such as residential, office, commercial, industrial, etc.).

[0040] Building area: The total floor area of ​​the building (unit: square meters, m²).

[0041] Building volume: The total volume of the building (unit: cubic meters, m³).

[0042] Material type: The main materials used in a building determine its thermal insulation performance (such as concrete, wood, glass, etc.).

[0043] Window area ratio: The proportion of the total exterior wall area occupied by windows, which affects the heat transfer of the building.

[0044] After standardization, the features of each prefabricated building can be represented as a vector, which facilitates subsequent similarity calculations.

[0045] Based on the feature vector of the target building, search the database for similar buildings with a similarity greater than a preset value.

[0046] To find buildings with high similarity to the target building, we need to calculate the similarity between the target building's feature vectors and those of other buildings in the database. Euclidean distance or cosine similarity can be used to calculate the similarity between building feature vectors.

[0047] Set a preset similarity threshold, for example, selecting buildings with a cosine similarity greater than 0.9. Based on the feature vector of the target building, filter out buildings from the database with a similarity greater than this threshold. These buildings will serve as a reference for subsequent heat demand prediction.

[0048] Historical data from similar buildings were fitted into a heat demand-ambient temperature curve.

[0049] For the selected similar buildings, a curve relating heat demand to ambient temperature is fitted using their historical data (including ambient temperature and corresponding cooling / heating power data). This curve reflects the building's heat demand characteristics under different ambient temperature conditions. Linear regression or multinomial regression fitting techniques can be used to establish the relationship between heat demand and ambient temperature.

[0050] The current heat demand of the target building is determined based on the heat demand-ambient temperature curve of similar buildings.

[0051] Once the heat demand-ambient temperature curve for similar buildings is fitted, the curve can be applied to the target building to predict its heat demand under current environmental conditions.

[0052] Step 2: Obtain the ambient temperature.

[0053] Obtain the current outdoor ambient temperature through meteorological station data, online weather services, or by installing outdoor temperature sensors. Accurate external temperature data is crucial for evaluating the performance of air source heat pumps (such as COP value) and determining their maximum output capacity, thereby ensuring that optimized adjustments to the equipment's operating load can adapt to real-time environmental conditions and improve energy efficiency.

[0054] Step 3: Determine the performance parameters of the equipment. The performance of an air source heat pump changes with the external ambient temperature, while the performance parameters of an electric refrigeration and heating system are fixed.

[0055] COP (Coefficient of Performance): This is a metric for measuring the efficiency of a heat pump, representing the ratio of output heat (or cooling) to input electrical power.

[0056] The coefficient of performance (COP) of an air source heat pump varies with changes in the ambient temperature. Generally, the higher the ambient temperature, the higher the heating COP; the lower the ambient temperature, the lower the heating COP. In some cases, humidity and atmospheric pressure can also affect the COP.

[0057] You can consult the equipment manual to obtain the COP values ​​at different external temperatures. Alternatively, you can use the COP vs. external temperature curve provided by the manufacturer to find the COP value corresponding to the current temperature. Or, you can use sensors and monitoring systems to measure the actual operating data of the equipment and calculate the current COP value.

[0058] For resistance heaters, the coefficient of performance (COP) of an electric heating and cooling system is equal to 1, meaning that for every unit of electrical energy input, 1 unit of heat energy is output. Cooling mode: Fixed COP: The cooling COP of an electric cooling system is usually fixed and does not change with the external temperature. You can refer to the equipment's instruction manual or technical manual to obtain the COP value for cooling mode.

[0059] Step 4: Determine the maximum output capacity of the air source heat pump and the electric cooling and heating system.

[0060] First, determine the maximum output capacity of the air source heat pump. The maximum heating or cooling capacity of an air source heat pump varies with changes in the ambient temperature, so adjustments are necessary based on the current outside temperature. Consult the equipment's technical manual or performance curves to find the maximum output capacity at the current temperature. For example, at lower outdoor temperatures, the heat pump's heating capacity may decrease, requiring adjustments to the rated capacity based on the manufacturer's correction factor. Ensure that the maximum output capacity reflecting actual operating conditions is used for accurate load distribution.

[0061] Next, determine the maximum output capacity of the electric heating and cooling system. Unlike air source heat pumps, the maximum output capacity of electric heating and cooling systems is typically unaffected by external temperature, and their performance parameters are relatively fixed. Consult the rated capacity of the equipment to obtain its maximum heating and cooling capabilities. Confirm that these capacities can meet the remaining demand when the air source heat pump's maximum capacity is insufficient. Determining the maximum output capacity of both types of equipment helps in the subsequent steps to rationally allocate the load, ensuring that the equipment operates within safe ranges, avoiding overload, and simultaneously meeting the overall heating and cooling needs.

[0062] Step 5: Compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems.

[0063] This step involves comparing the unit energy consumption of air-source heat pumps and electric cooling / heating systems under current conditions—that is, the electrical energy required to output one unit of heat or cooling. This comparison helps determine which device is more efficient in the current environment, allowing for its priority selection in load allocation to minimize total power consumption.

[0064] Unit energy consumption refers to the amount of electrical energy required for a device to generate one unit of heat or cold. The lower the unit energy consumption, the higher the efficiency of the device, meaning it can generate the same amount of heat or cold with less electrical energy.

[0065] Because the coefficient of performance (COP) of an air source heat pump changes with the external ambient temperature, its COP value needs to be found or calculated based on the current external temperature (obtained in the previous steps).

[0066] The performance parameters of electric cooling and heating systems are usually fixed. In heating mode, the efficiency is generally 100% (i.e., COP=1); in cooling mode, the COP is a fixed value (e.g., 3.0).

[0067] For example:

[0068] Air source heat pump:

[0069] Unit energy consumption calculation: Divide 1 by the COP value to get the electrical energy required to generate one unit of heat or cold.

[0070] For example, if the COP is 3.5, then the unit energy consumption is 1 ÷ 3.5 ≈ 0.286. This means that to generate 1 unit of heat, approximately 0.286 units of electrical energy are required.

[0071] Electric refrigeration and heating system:

[0072] Heating mode:

[0073] Unit energy consumption: Since the efficiency is 100% (COP=1), the unit energy consumption is 1 ÷ 1 = 1. That is, to generate 1 unit of heat, 1 unit of electrical energy is required.

[0074] Cooling mode:

[0075] Unit energy consumption: Divide 1 by the COP value. For example, if the COP is 3.0, then the unit energy consumption is 1 ÷ 3.0 ≈ 0.333. This means that to produce 1 unit of cooling, approximately 0.333 units of electrical energy are required.

[0076] Under heating conditions:

[0077] The unit energy consumption of an air source heat pump is approximately 0.286.

[0078] Unit energy consumption of electric heating system: 1.

[0079] Conclusion: The unit energy consumption of air source heat pumps is lower than that of electric heating systems, indicating that air source heat pumps are more efficient.

[0080] Under refrigeration conditions:

[0081] The unit energy consumption of an air source heat pump is approximately 0.286.

[0082] The unit energy consumption of the electric cooling system is approximately 0.333.

[0083] Conclusion: The unit energy consumption of air source heat pumps is still lower than that of electric refrigeration systems, and air source heat pumps are more efficient.

[0084] Step 6: Initially allocate the load, allowing high-efficiency equipment to handle as much load as possible without exceeding its maximum capacity. If the maximum capacity of high-efficiency equipment is insufficient to meet all the demand, then allocate the remaining demand to the less efficient equipment.

[0085] 6.1 Determine the high-efficiency equipment

[0086] 6.1.1 Comparison of unit energy consumption

[0087] Calculate the unit energy consumption of each device, that is, the electrical energy required to output 1 kilowatt (kW) of heat or cold.

[0088] Air source heat pump: Unit energy consumption = 1 ÷ COP (coefficient of performance)

[0089] Electric heating and cooling system: In heating mode, the unit energy consumption of the electric heating system is 1 kWh of electricity / kWh of heat (i.e., COP = 1); in cooling mode, the unit energy consumption = 1 ÷ COP

[0090] Example:

[0091] Air source heat pump COP = 3.5

[0092] Unit energy consumption = 1 ÷ 3.5 ≈ 0.286 kWh electrical energy / kWh heat

[0093] Electric heating system (heating mode):

[0094] Unit energy consumption = 1 kWh electrical energy / kWh heat

[0095] 6.1.2 Determine High-Efficiency Equipment

[0096] Comparing unit energy consumption, the lower the unit energy consumption, the more efficient the equipment.

[0097] Conclusion: In the above examples, the air source heat pump has lower unit energy consumption and is a high-efficiency device.

[0098] 6.2 Distribute the load of high-efficiency equipment

[0099] 6.2.1 Determine the maximum output capacity of high-efficiency equipment

[0100] To obtain the maximum output capacity of a high-efficiency device, that is, the maximum heating or cooling power it can provide under the current environmental conditions.

[0101] Maximum output capacity of air source heat pump ( ): Obtained from the equipment technical manual or performance curves, taking into account the influence of external ambient temperature.

[0102] Example:

[0103] Maximum output capacity of air source heat pump: = 90 kW

[0104] 6.2.2 Distribute the load of high-efficiency equipment

[0105] Allow high-efficiency equipment to handle as much load as possible, without exceeding its maximum output capacity.

[0106] Calculate the load that high-efficiency equipment should handle. ):

[0107]

[0108] Total heating and cooling demand.

[0109] The maximum output capacity of a high-efficiency device.

[0110] Example:

[0111] Total demand:

[0112] calculate:

[0113] High-efficiency equipment (air source heat pump) undertakes The load.

[0114] 6.3 Distributing the load of sub-efficient equipment

[0115] 6.3.1 Calculate the remaining demand

[0116] Residual demand ( ):

[0117]

[0118] Example:

[0119]

[0120] 6.3.2 Determine the maximum output capacity of the sub-high-efficiency equipment

[0121] Obtain the maximum output capacity of the sub-efficient equipment ( ):

[0122] Maximum output capacity of electric refrigeration and heating systems: Obtain from the equipment technical manual.

[0123] Example:

[0124] Maximum output capacity of electric heating system:

[0125] 6.3.3 Distributing the load of sub-efficient equipment

[0126] Calculate the load that the sub-efficient equipment should bear ( ):

[0127]

[0128] Example:

[0129] calculate:

[0130] Sub-efficient equipment (electric heating system) undertakes The load.

[0131] 6.4 Verify equipment capacity constraints

[0132] 6.4.1 Ensure that the actual load on each piece of equipment does not exceed its maximum output capacity.

[0133] High-efficiency equipment:

[0134]

[0135] Sub-high efficiency equipment:

[0136]

[0137] Example:

[0138] High-efficiency equipment: (satisfy)

[0139] Sub-high efficiency equipment: (satisfy)

[0140] 6.4.2 Check whether the total requirements are met.

[0141] verify:

[0142]

[0143] Example:

[0144] (Meets total demand)

[0145] Step 7: Based on the calculation results, set the operating load of the air source heat pump and the electric cooling and heating system.

[0146] In this step, we need to adjust the operating load of the air source heat pump and the electric cooling and heating system based on the previous calculations. First, ensure that the high-efficiency equipment (air source heat pump) handles as much load as possible, but not exceeding its maximum capacity. Then, allocate the remaining demand to the less efficient equipment (electric cooling and heating system), again ensuring that its operating load does not exceed its maximum output capacity.

[0147] Specifically, we adjust the operating parameters of high-efficiency equipment based on the load it should handle, ensuring its output matches the calculated results. If the equipment supports partial load operation or energy-saving modes, these functions can be enabled to improve efficiency and save energy. For less efficient equipment, we also adjust its operating parameters to handle the remaining demand.

[0148] After setting the operating load of the equipment, it is necessary to closely monitor its operating status to ensure that the actual output matches the set value. If any deviation is found, adjustments should be made promptly. In addition, the equipment's operation should be checked regularly to ensure that it operates in a safe and efficient manner.

[0149] By setting the operating load of the equipment reasonably based on the calculation results, we can optimize energy use, meet heating and cooling needs, and minimize total power consumption.

[0150] On the other hand, the present invention also provides a prefabricated building heat and cold source regulation system, comprising:

[0151] The first calculation module is used to determine the current heating and cooling requirements of the prefabricated building.

[0152] The first acquisition module is used to acquire the external ambient temperature;

[0153] The second acquisition module is used to determine the performance parameters of the equipment. The performance of the air source heat pump changes with the external ambient temperature, while the performance parameters of the electric cooling and heating system are fixed.

[0154] The second calculation module is used to determine the maximum output capacity of the air source heat pump and the electric cooling and heating system.

[0155] The comparison module is used to compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems;

[0156] The allocation module is used to initially allocate the load, allowing high-efficiency equipment to take on more load without exceeding its maximum capacity. If the maximum capacity of the high-efficiency equipment is insufficient to meet all the demand, the remaining demand is allocated to the less efficient equipment.

[0157] The operation module is used to set the operating load of the air source heat pump and the electric refrigeration and heating system based on the calculation results.

[0158] For any module structures not specifically defined in this invention, the existing technical descriptions shall prevail. The prior art mentioned in the foregoing background and specific embodiments sections can be considered part of this invention and used to understand the meaning of certain technical features or parameters.

Claims

1. A method for regulating the cold and heat sources of prefabricated buildings, characterized in that, The method includes the following steps: Step 1: Determine the current heating and cooling requirements of the prefabricated building; Step 2: Obtain the external ambient temperature; Step 3: Determine the performance parameters of the equipment. The performance of an air source heat pump changes with the external ambient temperature, while the performance parameters of an electric refrigeration and heating system are fixed. Step 4: Determine the maximum output capacity of the air source heat pump and the electric cooling and heating system; Step 5: Compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems; Step 6: Initially allocate the load, allowing high-efficiency equipment to handle more of the load without exceeding its maximum capacity. If the maximum capacity of high-efficiency equipment is insufficient to meet all the demand, then allocate the remaining demand to the less efficient equipment. Step 7: Based on the calculation results, set the operating load of the air source heat pump and the electric refrigeration and heating system; Determining the current heating and cooling requirements of the prefabricated building includes: Establish a database of existing prefabricated buildings, which shall include at least the building’s structural information, ambient temperature, and cooling / heating information; Prefabricated buildings are organized into feature vectors, which include: use, building area, building volume, material type, and window area ratio. Based on the feature vector of the target building, search the database for similar buildings with a similarity greater than a preset value; Historical data of similar buildings were fitted into a heat demand-ambient temperature curve; The current heat demand of the target building is determined based on the heat demand-ambient temperature curve of similar buildings.

2. The method for regulating the cold and heat source of prefabricated buildings according to claim 1, characterized in that, Obtain the current outdoor ambient temperature through meteorological station data, online weather services, or by installing outdoor temperature sensors.

3. The method for regulating the cold and heat source of prefabricated buildings according to claim 1, characterized in that, The actual operating data of the equipment is measured using sensors and a monitoring system. An operating function is fitted, and the current COP value of the air source heat pump is calculated based on the operating function.

4. The method for regulating the cold and heat source of prefabricated buildings according to claim 1, characterized in that, Divide 1 by the COP value to get the electrical energy required to generate one unit of heat or cold.

5. A prefabricated building heating and cooling source regulation system, characterized in that, The system includes the following modules: The first calculation module is used to determine the current heating and cooling requirements of the prefabricated building. The first acquisition module is used to acquire the external ambient temperature; The second acquisition module is used to determine the performance parameters of the equipment. The performance of the air source heat pump changes with the external ambient temperature, while the performance parameters of the electric cooling and heating system are fixed. The second calculation module is used to determine the maximum output capacity of the air source heat pump and the electric cooling and heating system. The comparison module is used to compare the current unit energy consumption of air source heat pumps and electric cooling and heating systems; The allocation module is used to initially allocate the load, allowing high-efficiency equipment to take on more load without exceeding its maximum capacity. If the maximum capacity of the high-efficiency equipment is insufficient to meet all the demand, the remaining demand is allocated to the less efficient equipment. The operation module is used to set the operating load of the air source heat pump and the electric refrigeration and heating system based on the calculation results; Determining the current heating and cooling requirements of the prefabricated building includes: Establish a database of existing prefabricated buildings, which shall include at least the building’s structural information, ambient temperature, and cooling / heating information; Prefabricated buildings are organized into feature vectors, which include: use, building area, building volume, material type, and window area ratio. Based on the feature vector of the target building, search the database for similar buildings with a similarity greater than a preset value; Historical data of similar buildings were fitted into a heat demand-ambient temperature curve; The current heat demand of the target building is determined based on the heat demand-ambient temperature curve of similar buildings.

6. A prefabricated building cold and heat source regulation system according to claim 5, characterized in that, Obtain the current outdoor ambient temperature through meteorological station data, online weather services, or by installing outdoor temperature sensors.

7. A prefabricated building cold and heat source regulation system according to claim 5, characterized in that, The actual operating data of the equipment is measured using sensors and a monitoring system. An operating function is fitted, and the current COP value of the air source heat pump is calculated based on the operating function.

8. A prefabricated building cold and heat source regulation system according to claim 5, characterized in that, Divide 1 by the COP value to get the electrical energy required to generate one unit of heat or cold.

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