Cold station equipment energy-saving control method and system based on dynamic load data

Abstract

The invention relates to the technical field of energy-saving control, and particularly discloses a cold station equipment energy-saving control method and system based on dynamic load data. According to the method, basic load characteristic parameters and floating load characteristic parameters of a building are obtained firstly, then the adjusting temperature is obtained according to the basic load characteristic parameters and the floating load characteristic parameters, then the refrigerating capacity and the refrigerating area volume are obtained, then the cooling time is obtained according to the adjusting temperature and the refrigerating area volume, and finally the cooling time is obtained. Ideal refrigeration power is obtained according to the cold supply time and the refrigerating capacity, meanwhile, the output power of a compressor, a water pump and a cooling tower in the cold station equipment is cooperatively adjusted according to the ideal refrigeration power, so that the requirement for dynamically reducing the temperature in the building is met, energy waste caused by centralized refrigeration can be avoided, and the energy consumption is reduced. In addition, the requirement for dynamic temperature adjustment in the building can be met, and the problem of energy waste can be solved through the cold station equipment with the dynamic temperature adjustment function.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control, and in particular to an energy-saving control method and system for cooling station equipment based on dynamic load data. Background Art

[0002] In modern buildings, cooling regulation needs to be regulated by using cooling station equipment, wherein the cooling station equipment (such as a heating, ventilation and air conditioning (HVAC) system) is used to provide cooling services and regulate the temperature in modern buildings to achieve the purpose of cooling.

[0003] When existing cold station equipment provides centralized cooling for buildings, it usually uses a fixed temperature to adjust the temperature of the building. This will result in the centralized cooling being unable to meet the needs of dynamic temperature adjustment in the building. Therefore, an energy-saving control method and system for cold station equipment based on dynamic load data is needed to solve the above problem. Summary of the invention

[0004] The object of the present invention is to provide a method and system for energy-saving control of refrigeration station equipment based on dynamic load data, so as to solve the technical problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A cooling station equipment energy-saving control method based on dynamic load data, applied to cooling station equipment, comprising:

[0007] Obtaining basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of human flow and the outdoor light radiation temperature;

[0008] Obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters;

[0009] Obtaining the volume of the refrigeration area, and obtaining the specific heat of air in the volume of the refrigeration area based on a constant pressure calorimeter, and calculating the refrigeration capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air;

[0010] Obtaining a pipe cross-sectional area and a gas supply flow rate of a refrigeration station device, and obtaining a cooling load difference according to the pipe cross-sectional area, the gas supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjustment temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity;

[0011] Energy-saving control and adjustment of cold station equipment is carried out according to the ideal cooling power.

[0012] Preferably, before the step of obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters, the method includes:

[0013] Obtaining the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time;

[0014] Obtaining a preset thermal conductivity corresponding to the building surface, and obtaining the wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0015] Acquire the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and use the internal air temperature as the indoor air temperature;

[0016] Calculating the building surface temperature based on the wall thermal resistance, indoor air temperature and external air temperature;

[0017] Get the building wall area;

[0018] Obtain the wall heat transfer coefficient based on the wall thermal resistance;

[0019] The basic calibration temperature is calculated according to the building wall area, wall heat transfer coefficient, building surface temperature and indoor air temperature, wherein the calculation formula is:

[0020] Q(T)=T2+A(a)*U(s)*(T2-T1);

[0021] Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

[0022] Preferably, the step of obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters comprises:

[0023] Acquiring the number of personnel according to the floating load characteristic parameter, wherein the floating load characteristic parameter refers to a parameter that fluctuates within a preset time, and the number of personnel is obtained based on a camera;

[0024] Acquire a plurality of corresponding human body heat values ​​according to the number of people, acquire an average human body heat value according to the plurality of human body heat values, and acquire a floating temperature of human flow according to the average human body heat value and the number of people;

[0025] Obtain outdoor light radiation temperature based on temperature sensor;

[0026] The gain floating temperature is calculated according to the floating temperature of the human flow and the outdoor light radiation temperature, and the adjustment temperature is calculated by weighting the gain floating temperature and the basic calibration temperature.

[0027] Preferably, the step of calculating the cooling capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air comprises:

[0028] Acquiring a first atmospheric pressure based on an atmospheric pressure sensor;

[0029] Acquire a first temperature based on a temperature sensor, and acquire air density according to the first atmospheric pressure and the first temperature;

[0030] Obtaining the temperature movement trajectory of the floating temperature of the flow of people based on the infrared sensor, obtaining the temperature radiation range according to the movement trajectory, and mapping the temperature radiation range to a two-dimensional coordinate system to obtain a plurality of temperature radiation range edge coordinates, drawing a refrigeration layout plane based on the plurality of temperature radiation range edge coordinates based on CAD, and mapping the refrigeration layout plane to the refrigeration area volume to segment the refrigeration area volume to obtain a segmented refrigeration area volume;

[0031] The air quality is obtained according to the volume of the divided refrigeration area and the air density, and the refrigeration capacity is calculated according to the air quality, the adjusted temperature and the air specific heat.

[0032] Preferably, the step of obtaining a cooling load difference according to the pipeline cross-sectional area, the air supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjusted temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity comprises:

[0033] Obtaining the inlet air supply flow rate according to the pipeline cross-sectional area and the air supply flow rate;

[0034] Obtaining the length and diameter of the pipeline, and obtaining the Darcy friction coefficient of the pipeline based on the Reynolds number;

[0035] Obtain outlet gas supply flow based on flow sensor;

[0036] The gas loss coefficient is calculated according to the gas supply flow rate, the port gas supply flow rate, the length, the diameter and the Darcy friction coefficient, wherein the calculation formula is:

[0037]

[0038] Wherein, ΔP represents the gas loss coefficient, β represents the Darcy friction coefficient, L(d) represents the pipeline length, D represents the pipeline diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate;

[0039] Obtaining the actual cooling capacity according to the gas loss coefficient and the cooling capacity, and calculating the cooling load difference according to the difference between the actual cooling capacity and the preset required cooling capacity;

[0040] The cooling time is calculated according to the ratio of the cooling load difference and the adjustment temperature, and the ideal cooling power is calculated according to the ratio of the cooling capacity and the cooling time.

[0041] Preferably, the step of performing energy-saving control and adjustment on the cold station equipment according to the ideal refrigeration power comprises:

[0042] Acquire a current first refrigeration power of a compressor in a refrigeration station device, and calculate a first power difference according to the first refrigeration power and an ideal refrigeration power;

[0043] adjusting the compressor speed output according to the first power difference to obtain a compressor speed adjustment parameter;

[0044] Obtaining a second current cooling power of a water pump in the cooling station equipment, and calculating a second power difference according to the second cooling power and an ideal cooling power;

[0045] Adjust the water pump speed output according to the second power difference to obtain a second adjusted speed, obtain the water flow rate within a preset time according to the second adjusted speed, and obtain the corresponding water pump water flow pressure adjustment parameter according to the water flow rate;

[0046] Obtaining a third current cooling power of a cooling tower in the cooling station equipment, and calculating a third power difference according to the third cooling power and the ideal cooling power;

[0047] Adjust the fan speed in the cooling tower according to the third power difference to obtain a fan speed adjustment parameter, wherein the fan is installed in the cooling tower;

[0048] Acquire a corresponding first weight factor according to the compressor speed adjustment parameter;

[0049] Acquire a corresponding second weight factor according to the water flow pressure adjustment parameter of the water pump;

[0050] The comprehensive energy-saving adjustment parameter of the cold station is calculated according to the compressor speed adjustment parameter, the water pump water flow pressure adjustment parameter, the fan speed adjustment parameter, the first weight factor and the second weight factor, wherein the calculation formula is:

[0051] Z(H)=X(B)*a+X(Q)*b+D(L)*[1-ab];

[0052] Wherein, Z(H) represents the comprehensive energy-saving adjustment parameter of the cooling station, X(B) represents the compressor speed adjustment parameter, X(Q) represents the water flow pressure adjustment parameter of the water pump, D(L) represents the fan speed adjustment parameter, a represents the first weight factor, and b represents the second weight factor;

[0053] Energy-saving control and adjustment are performed on the cooling station equipment according to the cooling station comprehensive energy-saving adjustment parameters.

[0054] The present application also provides a cooling station equipment energy-saving control system based on dynamic load data, which is applied to cooling station equipment, including:

[0055] The first acquisition module is used to acquire the basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of human flow and the outdoor light radiation temperature;

[0056] A second acquisition module is used to acquire the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters;

[0057] A third acquisition module is used to acquire the volume of the refrigeration area, and acquire the specific heat of air in the volume of the refrigeration area based on a constant pressure calorimeter, and calculate the refrigeration capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air;

[0058] A fourth acquisition module is used to obtain the pipe cross-sectional area and the air supply flow rate of the refrigeration station equipment, and obtain the refrigeration load difference according to the pipe cross-sectional area, the air supply flow rate and the refrigeration capacity, obtain the cooling time according to the refrigeration load difference and the adjustment temperature, and obtain the ideal cooling power according to the cooling time and the refrigeration capacity;

[0059] The first control module is used to perform energy-saving control and adjustment on the refrigeration station equipment according to the ideal refrigeration power.

[0060] Preferably, the first acquisition module includes:

[0061] A first acquisition unit is used to acquire the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time;

[0062] A second acquisition unit is used to acquire a preset thermal conductivity corresponding to the building surface, and acquire a wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0063] A third acquisition unit is used to acquire the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and use the internal air temperature as the indoor air temperature;

[0064] A first calculation unit, used for calculating the building surface temperature according to the wall thermal resistance, the indoor air temperature and the external air temperature;

[0065] The fourth acquisition unit is used to acquire the building wall area;

[0066] A fifth acquisition unit, used for acquiring a wall heat transfer coefficient according to the wall thermal resistance;

[0067] The second calculation unit is used to calculate the basic calibration temperature according to the building wall area, the wall heat transfer coefficient, the building surface temperature and the indoor air temperature, wherein the calculation formula is:

[0068] Q(T)=T2+A(a)*U(s)*(T2-T1);

[0069] Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

[0070] The present application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0071] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0072] The beneficial effects of the present application are as follows: the present invention first obtains the basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of the flow of people and the outdoor light radiation temperature, then obtains the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters, then obtains the volume of the cooling area, and obtains the air specific heat in the cooling area volume based on the constant pressure calorimeter, and calculates the cooling capacity according to the cooling area volume, the adjustment temperature, and the air specific heat, then obtains the pipeline cross-sectional area and the air supply flow rate of the cold station equipment, and obtains the cooling load difference according to the pipeline cross-sectional area, the air supply flow rate and the cooling capacity, obtains the cooling time according to the cooling load difference and the adjustment temperature, and obtains the ideal cooling power according to the cooling time and the cooling capacity, and finally, according to the ideal cooling power, coordinately adjusts the output power of the compressor, water pump and cooling tower in the cold station equipment to meet the demand of dynamically cooling the temperature in the building, so as to avoid the waste of energy caused by centralized cooling, and also meet the demand of dynamic temperature adjustment in the building, and the cold station equipment with dynamic temperature adjustment can avoid the problem of energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 The figure is a schematic diagram of a method flow of an embodiment of the present application.

[0074] Figure 2 A schematic diagram of the system structure of an embodiment of the present application.

[0075] Figure 3 A schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0076] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0077] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0078] like Figure 1-3 As shown, the present application provides a cooling station equipment energy-saving control method based on dynamic load data, which is applied to cooling station equipment, including:

[0079] S1. Obtain basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of human flow and the outdoor light radiation temperature;

[0080] S2. Obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters;

[0081] S3, obtaining the volume of the refrigeration area, and obtaining the specific heat of the air in the volume of the refrigeration area based on a constant pressure calorimeter, and calculating the cooling capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of the air;

[0082] S4, obtaining a pipe cross-sectional area and a gas supply flow rate of a refrigeration station device, and obtaining a cooling load difference according to the pipe cross-sectional area, the gas supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjustment temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity;

[0083] S5. Energy-saving control and adjustment of the cooling station equipment is performed according to the ideal cooling power, wherein the cooling station equipment is composed of a compressor, a water pump and a cooling tower.

[0084] As described in the above steps S1-S5, existing cold station equipment usually uses a fixed temperature to uniformly adjust the temperature of the building when providing centralized cooling for the building. This will result in the centralized cooling being unable to meet the needs of dynamic temperature adjustment in the building. At the same time, unified cooling will also lead to energy waste. Therefore, the present invention needs to adjust the cold station equipment according to dynamic load data, wherein the dynamic load data refers to the factors in the external environment that affect the cooling capacity output of the cold station equipment, including body surface temperature, indoor air temperature, floating temperature of human flow, and outdoor light radiation temperature, etc., in order to meet the needs of energy saving. On this basis, it is necessary to screen the dynamic load data to obtain basic load characteristic parameters and floating load characteristic parameters, so that the subdivided obtained The data can avoid mutual interference among the collected parameters. After segmentation, directional and accurate data can be obtained, which is convenient for providing accurate basis for the subsequent acquisition of adjustment parameters. Then, the building surface temperature and indoor air temperature are obtained according to the basic load characteristic parameters, and then the basic calibration temperature is obtained according to the building surface temperature and indoor air temperature. The basic calibration temperature calculated in this way can more accurately reflect the actual heat load of the building under different conditions (such as weather changes, internal heat source changes, etc.). Then, the floating temperature of the flow of people and the outdoor light radiation temperature are obtained according to the floating load characteristic parameters, and then the adjustment temperature is obtained according to the basic load characteristic parameters and the floating load characteristic parameters, so that the adjustment temperature can be accurately obtained, thereby realizing the dynamic control of the cold station equipment. Adjust, improve energy efficiency, ensure the comfort and stability of the indoor environment, and adjust the temperature to the temperature that needs to be adjusted in the current building. In this way, after obtaining the temperature that needs to be adjusted, the building can be adjusted to a comfortable temperature. Then obtain the volume of the cooling area, and obtain the air specific heat in the cooling area volume based on the constant pressure calorimeter, wherein the air specific heat is obtained by the air mass QM flowing through the preset time, the temperature difference WC within the preset time and the comprehensive real-time temperature to obtain the heat QL in the air, air specific heat = QL / (QM*WC), and calculate the cooling capacity based on the cooling area volume, the adjustment temperature, and the air specific heat, wherein the constant pressure calorimeter is an instrument used to measure the heat absorption or heat release of a substance under constant pressure, so the cooling capacity calculated in this way can be convenient The cooling capacity that needs to be provided is determined to meet the needs of indoor temperature regulation, thereby avoiding unnecessary energy waste and improving cooling efficiency. The pipe cross-sectional area and supply gas flow rate of the cold station equipment are then obtained, and the cooling load difference is obtained based on the pipe cross-sectional area, supply gas flow rate and cooling capacity. The calculation of the cooling load difference also requires a gas loss coefficient (which will appear later). The actual cooling capacity is then obtained through the gas loss coefficient and the supply gas flow rate. Finally, the cooling load difference is calculated based on the difference between the actual cooling capacity and the preset required cooling capacity. The cooling load difference obtained in this way can reflect the gap between the actually required cooling capacity and the currently provided cooling capacity, and provide a basis for subsequent energy-saving adjustments. The cooling time is calculated based on the ratio of the cooling load difference to the adjustment temperature.The cooling power is obtained by dividing the cooling capacity by the cooling time. After the cooling power is obtained, the output power of the compressor, water pump and cooling tower in the cooling station equipment can be coordinated to meet the demand for dynamic cooling of the building. This can avoid energy waste caused by centralized cooling and meet the demand for dynamic temperature adjustment in the building. The cooling station equipment with dynamic temperature adjustment can avoid the problem of energy waste.

[0085] In one embodiment, before the step S2 of acquiring the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters, the method includes:

[0086] S101, obtaining the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time;

[0087] S102, obtaining a preset thermal conductivity corresponding to the building surface, and obtaining a wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0088] S103, obtaining the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and using the internal air temperature as the indoor air temperature;

[0089] S104, calculating the building surface temperature according to the wall thermal resistance, indoor air temperature and external air temperature;

[0090] S105, obtaining the building wall area;

[0091] S106. Obtaining a wall heat transfer coefficient according to the wall thermal resistance;

[0092] S107, calculating the basic calibration temperature according to the building wall area, the wall heat transfer coefficient, the building surface temperature and the indoor air temperature, wherein the calculation formula is:

[0093] Q(T)=T2+A(a)*U(s)*(T2-T1);

[0094] Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

[0095] As described in the above steps S101-S107, since the dynamic load data will affect the energy-saving control of the cold station equipment, the present invention first obtains the building thickness according to the basic load characteristic parameters, and then the building thickness can more accurately describe and reflect the actual thermal insulation characteristics of the building, and provide basic data for the subsequent calculation of the wall thermal resistance, and then obtain the preset thermal conductivity corresponding to the building surface, and obtain the wall thermal resistance according to the preset thermal conductivity and the building thickness. In this way, the wall thermal resistance is calculated by the building thickness and the preset thermal conductivity, and the thermal insulation performance of the wall can be evaluated. The wall thermal resistance reflects the thermal insulation capacity of the wall. The larger the thermal resistance, the better the thermal insulation performance of the wall, and the less heat transfer, which is also for the subsequent The indoor temperature is then calculated to provide a basis, and then the internal air temperature and the external air temperature of the building surface are obtained based on the temperature sensor, and the internal air temperature is used as the indoor air temperature, wherein the wall thermal resistance is used as an influencing medium in the transmission process of the internal air temperature and the external air temperature, which helps to calculate the building surface temperature together with the internal air temperature and the external air temperature. At the same time, obtaining the indoor air temperature can provide data support for subsequent indoor cooling adjustment, and then the building surface temperature (T1) is calculated according to the wall thermal resistance (R), the internal air temperature (T3) and the external air temperature (T2), wherein the specific calculation steps are: the heat transfer coefficient of the wall U(s) = 1 / R,, the building surface temperature For example: wall thermal resistance (R) = 2m 2 .℃ / W, internal air temperature (T3) = 25℃, external air temperature (T2) = 10℃, building surface temperature Next, the building wall area is obtained, and then the wall heat transfer coefficient is obtained according to the wall thermal resistance, wherein the wall heat transfer coefficient is obtained based on the current building materials. Since the basic temperature needs to be obtained during cooling adjustment, the wall temperature and the indoor air temperature are required to obtain the static temperature of the building under static conditions (not affected by other additional temperatures, such as additional temperature and flow temperature, etc.). The static temperature obtained in this way can be used as the basic calibration temperature. The specific calculation steps are to calculate the basic calibration temperature according to the building wall area, wall heat transfer coefficient, building surface temperature and indoor air temperature. wherein the basic calibration temperature refers to the initial basic temperature in the building before it is affected by external factors, and the initial basic temperature is used as the calibration reference, which is defined as the basic calibration temperature. The above values ​​are only used for illustration and are not used as the only reference.

[0096] In one embodiment, the step S2 of acquiring the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters includes:

[0097] S201, obtaining the number of personnel according to the floating load characteristic parameter, wherein the floating load characteristic parameter refers to a parameter that fluctuates within a preset time, and the number of personnel is obtained based on a camera;

[0098] S202, obtaining a plurality of corresponding human body heat values ​​according to the number of people, obtaining an average human body heat value according to the plurality of human body heat values, and obtaining a floating temperature of a flow of people according to the average human body heat value and the number of people;

[0099] S203, obtaining outdoor light radiation temperature based on a temperature sensor;

[0100] S204, calculating the gain floating temperature according to the floating temperature of the human flow and the radiation temperature of the outdoor light, wherein the calculation formula is:

[0101] ΔT gain =ΔT human +ΔT rad ;

[0102] Where, ΔT gain Indicates gain floating temperature, ΔT human Indicates the floating temperature of the flow of people, ΔT rad Indicates the outdoor light radiation temperature;

[0103] The adjustment temperature is calculated by weighting the gain floating temperature and the basic calibration temperature.

[0104] As described in the above steps S201-S204, the present invention obtains the number of people according to the floating load characteristic parameter, wherein the floating load characteristic parameter refers to a parameter that remains fluctuating within a preset time, and the number of people is obtained based on a camera, so that the number of people in the room is determined to facilitate the calculation of human body heat, and the flow of people is monitored in real time to ensure the real-time and accuracy of the calculation result, then the corresponding multiple human body heat values ​​are obtained according to the number of people, and the average human body heat value is obtained according to the multiple human body heat values, and then the floating temperature of the flow of people is obtained according to the average human body heat value and the number of people, so that the floating temperature of the flow of people can provide an important basis for the indoor refrigeration adjustment of the building, then the outdoor light radiation temperature is obtained based on the temperature sensor, and the gain floating temperature is calculated according to the floating temperature of the flow of people and the outdoor light radiation temperature, so that the gain floating temperature comprehensively considers the influence of the floating of the flow of people and the outdoor light radiation on the indoor temperature, and provides comprehensive data support for the dynamic adjustment of the cold station equipment, and then the adjustment temperature is calculated by weighting according to the gain floating temperature and the basic calibration temperature, so that the adjustment temperature comprehensively considers the influence of the basic load and the floating load, and provides a scientific basis for the precise control of the cold station equipment, ensuring that the indoor temperature reaches the optimal state, and optimizing the energy efficiency.

[0105] In one embodiment, the step S3 of calculating the cooling capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air comprises:

[0106] S301, obtaining a first atmospheric pressure based on an air pressure sensor;

[0107] S302, obtaining a first temperature based on a temperature sensor, and obtaining air density according to the first atmospheric pressure and the first temperature;

[0108] S303, obtaining the temperature movement trajectory of the floating temperature of the flow of people based on the infrared sensor, obtaining the temperature radiation range according to the movement trajectory, and mapping the temperature radiation range to a two-dimensional coordinate system to obtain a plurality of temperature radiation range edge coordinates, drawing a refrigeration layout plane based on the plurality of temperature radiation range edge coordinates based on CAD, and mapping the refrigeration layout plane to the refrigeration area volume to segment the refrigeration area volume to obtain segmented refrigeration area volumes;

[0109] S304, obtaining air quality according to the divided refrigeration area volume and air density, and calculating cooling capacity according to the air quality, adjustment temperature and air specific heat, wherein the calculation formula is:

[0110] Q(z)=M(z)*c p *ΔL;

[0111] Where Q(z) represents the cooling capacity, M(z) represents the air quality, and c p represents the specific heat of air, and ΔL represents the adjusted temperature.

[0112] As described in the above steps S301-S303, the present invention first obtains the first atmospheric pressure based on the pressure sensor, then obtains the first temperature based on the temperature sensor, and obtains the air density according to the first atmospheric pressure and the first temperature, so that the air density is calculated by the atmospheric pressure and temperature, and accurate data support is provided for the subsequent calculation of air quality, and then the temperature movement trajectory of the floating temperature of the flow of people is obtained based on the infrared sensor. In this way, the temperature movement trajectory is obtained by the infrared sensor, and the refrigeration area is dynamically divided to ensure that the temperature control of each area is more accurate, and the temperature radiation range is obtained according to the movement trajectory, and the temperature radiation range is mapped to a two-dimensional coordinate system to obtain multiple temperature radiation range edge coordinates, and the multiple temperature The radiation range edge coordinates are based on CAD to draw the cooling layout plane. By drawing the temperature radiation range on the CAD drawing, it is convenient to manage and optimize the cooling layout, and the cooling layout plane is mapped to the cooling area volume to divide the cooling area volume to obtain the divided cooling area volume. The divided cooling area volume provides a basis for calculating the cooling capacity of each area, ensuring that the temperature control of each area is more refined. Finally, the air quality is obtained according to the divided cooling area volume and air density, and the cooling capacity is calculated according to the air quality, adjusted temperature and air specific heat. In this way, by accurately calculating the cooling capacity, the operating status of the cold station equipment can be better adjusted to avoid over-cooling or insufficient cooling, thereby improving energy efficiency.

[0113] In one embodiment, the step S4 of obtaining a cooling load difference according to the pipeline cross-sectional area, the air supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjustment temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity includes:

[0114] S401, obtaining the inlet air supply flow rate according to the pipeline cross-sectional area and the air supply flow rate;

[0115] S402, obtaining the length and diameter of the pipeline, and obtaining the Darcy friction coefficient of the pipeline based on the Reynolds number;

[0116] S402, obtaining the outlet gas supply flow rate based on the flow sensor;

[0117] S403, calculating the gas loss coefficient according to the gas supply flow rate, the port gas supply flow rate, the length, the diameter and the Darcy friction coefficient, wherein the calculation formula is:

[0118]

[0119] Wherein, ΔP represents the gas loss coefficient, β represents the Darcy friction coefficient, L(d) represents the pipeline length, D represents the pipeline diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate;

[0120] S404, obtaining an actual cooling capacity according to the gas loss coefficient and the cooling capacity, and calculating a cooling load difference according to a difference between the actual cooling capacity and a preset required cooling capacity;

[0121] S405: Calculate the cooling time according to the ratio of the cooling load difference and the adjustment temperature, and calculate the ideal cooling power according to the ratio of the cooling capacity and the cooling time.

[0122] As described in the above steps S401-S403, the present invention first obtains the gas supply flow rate according to the pipeline cross-sectional area and the gas supply flow rate, so that the inlet gas supply flow rate is obtained by measuring the pipeline cross-sectional area and the gas supply flow rate, providing accurate data support for subsequent calculations, and then the pipeline length and diameter are obtained, and the Darcy friction coefficient of the pipeline is obtained based on the Reynolds number. By calculating the Reynolds number and the Darcy friction coefficient, the friction loss in the pipeline is evaluated to provide a basis for the subsequent calculation of the gas loss coefficient, wherein the Reynolds number is a dimensionless number used to describe the characteristics of fluid flow, and the Darcy friction coefficient is a dimensionless number used to describe the friction loss of the fluid when it flows in the pipeline, which reflects the friction resistance between the fluid and the inner wall of the pipeline, and then the outlet gas supply flow rate is obtained based on the flow sensor. Since the gas loss coefficient is related to the physical characteristic parameters of the pipeline, the outlet gas supply flow rate, the inlet gas supply flow rate, the length, the diameter and the Darcy friction coefficient are obtained. The friction coefficient is used to calculate the gas loss coefficient. By calculating the gas loss coefficient, the gas loss in the pipeline is evaluated, which provides a basis for the subsequent calculation of the actual cooling capacity. Then, the actual cooling capacity is obtained according to the gas loss coefficient and the cooling capacity. The cooling load difference is calculated according to the difference between the actual cooling capacity and the preset required cooling capacity. In this way, by calculating the actual cooling capacity and the cooling load difference, the actual operating status of the cold station equipment is evaluated to provide a basis for subsequent adjustments. Then, the cooling time is calculated according to the cooling load difference and the adjusted temperature. Finally, the cooling power is calculated according to the ratio of the cooling capacity to the cooling time. After obtaining the cooling power, the cold station equipment can be synchronously adjusted to meet the demand for dynamically cooling the temperature in the building. This can avoid energy waste caused by centralized refrigeration and can also meet the demand for dynamic temperature adjustment in the building. The cold station equipment with dynamic temperature adjustment can avoid the problem of energy waste.

[0123] In one embodiment, the step S5 of performing energy-saving control and adjustment on the cold station equipment according to the ideal refrigeration power, wherein the cold station equipment is composed of a compressor, a water pump and a cooling tower, comprises:

[0124] S501, obtaining a current first refrigeration power of a compressor in a refrigeration station device, and calculating a first power difference according to the first refrigeration power and an ideal refrigeration power;

[0125] S502, adjusting the compressor speed output according to the first power difference to obtain a compressor speed adjustment parameter;

[0126] S503, obtaining a second current cooling power of a water pump in the cooling station equipment, and calculating a second power difference according to the second cooling power and an ideal cooling power;

[0127] S504, adjusting the water pump speed output according to the second power difference to obtain a second adjusted speed, and obtaining a water flow rate within a preset time according to the second adjusted speed, and obtaining a corresponding water pump water flow pressure adjustment parameter according to the water flow rate;

[0128] S505, obtaining a third current cooling power of a cooling tower in the cooling station equipment, and calculating a third power difference according to the third cooling power and the ideal cooling power;

[0129] S506, adjusting the fan speed in the cooling tower according to the third power difference to obtain a fan speed adjustment parameter, wherein the fan is installed in the cooling tower;

[0130] S507, acquiring a corresponding first weight factor according to the compressor speed adjustment parameter;

[0131] S508, obtaining a corresponding second weight factor according to the water flow pressure adjustment parameter of the water pump;

[0132] S509, calculating the comprehensive energy-saving adjustment parameter of the cooling station according to the compressor speed adjustment parameter, the water pump water flow pressure adjustment parameter, the fan speed adjustment parameter, the first weight factor and the second weight factor, wherein the calculation formula is:

[0133] Z(H)=X(B)*a+X(Q)*b+D(L)*[1-ab];

[0134] Wherein, Z(H) represents the comprehensive energy-saving adjustment parameter of the cooling station, X(B) represents the compressor speed adjustment parameter, X(Q) represents the water flow pressure adjustment parameter of the water pump, D(L) represents the fan speed adjustment parameter, a represents the first weight factor, and b represents the second weight factor;

[0135] S5010. Perform energy-saving control and adjustment on the cooling station equipment according to the comprehensive energy-saving adjustment parameters of the cooling station.

[0136] As described in the above steps S501-S5010, since the energy-saving control and adjustment of the cold station equipment is performed according to the ideal refrigeration power, wherein the cold station equipment is composed of a compressor, a water pump and a cooling tower, it is necessary to synchronously adjust the compressor, the water pump and the cooling tower, and it is also necessary to comprehensively consider the compressor speed adjustment, the water pump water flow pressure adjustment and the fan speed adjustment to ensure that the overall energy efficiency of the cold station equipment is optimized. On this basis, the present invention first obtains the current first refrigeration power of the compressor, and calculates the first power difference based on the first refrigeration power and the refrigeration power. In this way, the difference between the current refrigeration power and the required refrigeration power is calculated, which provides a basis for the next step of adjusting the compressor speed, and can also be used for the subsequent dynamic adjustment of the compressor. The speed provides data support to ensure that the compressor output power matches the demand, and then the compressor speed output is adjusted according to the first power difference to obtain the compressor speed adjustment parameter, so that the compressor speed is adjusted according to the power difference to ensure that the refrigeration power output by the compressor is consistent with the demand, and then after adjusting the compressor speed, over-refrigeration or insufficient refrigeration can be avoided to improve energy efficiency, and then the current second refrigeration power of the water pump is obtained, and the second power difference is calculated according to the second refrigeration power and the refrigeration power. The refrigeration power obtained in this way can ensure the real-time and accuracy of the data. After calculating the difference between the current refrigeration power and the required refrigeration power, it can provide a basis for the next step of adjusting the water pump speed, and then adjust the speed according to the second power difference. The whole water pump speed output is used to obtain a second adjustment speed, and the water flow rate within a preset time is obtained according to the second adjustment speed, and the corresponding water pump water flow pressure adjustment parameter is obtained according to the water flow rate. In this way, by adjusting the water pump speed, excessive water supply or insufficient water supply can be avoided, and energy efficiency can be improved. Then, the third cooling power of the cooling tower is obtained, and the third power difference is calculated according to the third cooling power and the ideal cooling power. The third power difference can provide a basis for the next step of adjusting the cooling tower fan speed, and then the fan speed in the cooling tower is adjusted according to the third power difference to obtain the fan speed adjustment parameter, wherein the fan is installed in the cooling tower. In this way, by adjusting the cooling tower fan speed, the operating state of the cooling tower is optimized and the operating efficiency is improved. Then, a corresponding first weight factor is obtained according to the compressor speed adjustment parameter, and then a corresponding second weight factor is obtained according to the water pump water flow pressure adjustment parameter. Finally, the comprehensive energy-saving adjustment parameter of the cold station is calculated according to the compressor speed adjustment parameter, the water pump water flow pressure adjustment parameter, the fan speed adjustment parameter, the first weight factor and the second weight factor. In this way, after obtaining the refrigeration power, the output power of the compressor, water pump and cooling tower in the cold station equipment can be coordinated to meet the demand for dynamically cooling the temperature in the building. In this way, energy waste caused by centralized refrigeration can be avoided, and the demand for dynamic temperature adjustment in the building can be met. The cold station equipment with dynamic temperature adjustment can avoid the problem of energy waste.

[0137] The present application also provides a cooling station equipment energy-saving control system based on dynamic load data, which is applied to cooling station equipment, including:

[0138] The first acquisition module 1 is used to acquire the basic load characteristic parameters and floating load characteristic parameters of the building, and acquire the building surface temperature and indoor air temperature according to the basic load characteristic parameters, and acquire the basic calibration temperature according to the building surface temperature and indoor air temperature;

[0139] The second acquisition module 2 is used to obtain the floating temperature of the flow of people and the outdoor light radiation temperature according to the floating load characteristic parameters, and obtain the gain floating temperature according to the floating temperature of the flow of people and the outdoor light radiation temperature, obtain the comprehensive real-time temperature according to the gain floating temperature and the basic calibration temperature, and obtain the adjustment temperature according to the comprehensive real-time temperature and the preset standard temperature;

[0140] The third acquisition module 3 is used to obtain the volume of the refrigeration area, and obtain the specific heat of the air in the volume of the refrigeration area based on the constant pressure calorimeter, and calculate the cooling capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of the air;

[0141] The fourth acquisition module 4 is used to obtain the pipeline cross-sectional area and the air supply flow rate of the cold station equipment, and obtain the cooling load difference according to the pipeline cross-sectional area, the air supply flow rate and the cooling capacity, obtain the cooling time according to the cooling load difference and the adjustment temperature, and obtain the ideal cooling power according to the cooling time and the cooling capacity;

[0142] The first control module 5 is used to perform energy-saving control and adjustment on the cold station equipment according to the ideal refrigeration power, wherein the cold station equipment is composed of a compressor, a water pump and a cooling tower.

[0143] In one embodiment, the first acquisition module includes:

[0144] A first acquisition unit is used to acquire the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time;

[0145] A second acquisition unit is used to acquire a preset thermal conductivity corresponding to the building surface, and acquire a wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0146] A third acquisition unit is used to acquire the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and use the internal air temperature as the indoor air temperature;

[0147] A first calculation unit, used for calculating the building surface temperature according to the wall thermal resistance, the indoor air temperature and the external air temperature;

[0148] The fourth acquisition unit is used to acquire the building wall area;

[0149] A fifth acquisition unit, used for acquiring a wall heat transfer coefficient according to the wall thermal resistance;

[0150] The second calculation unit is used to calculate the basic calibration temperature according to the building wall area, the wall heat transfer coefficient, the building surface temperature and the indoor air temperature, wherein the calculation formula is:

[0151] Q(T)=T2+A(a)*U(s)*(T2-T1);

[0152] Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

[0153] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for energy-saving control of cold station equipment based on dynamic load data are implemented.

[0154] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0155] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0156] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A cooling station equipment energy-saving control method based on dynamic load data, applied to cooling station equipment, characterized in that: include: Obtaining basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of human flow and the outdoor light radiation temperature; Obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters; Obtaining the volume of the refrigeration area, and obtaining the specific heat of air in the volume of the refrigeration area based on a constant pressure calorimeter, and calculating the refrigeration capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air; Obtaining a pipe cross-sectional area and a gas supply flow rate of a refrigeration station device, and obtaining a cooling load difference according to the pipe cross-sectional area, the gas supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjustment temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity; Energy-saving control and adjustment of cold station equipment is carried out according to the ideal refrigeration power.

2. The energy-saving control method for cooling station equipment based on dynamic load data according to claim 1 is characterized in that: Before the step of obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters, the method includes: Obtaining the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time; Obtaining a preset thermal conductivity corresponding to the building surface, and obtaining the wall thermal resistance according to the preset thermal conductivity and the building thickness; Acquire the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and use the internal air temperature as the indoor air temperature; Calculating the building surface temperature based on the wall thermal resistance, indoor air temperature and external air temperature; Get the building wall area; Obtain the wall heat transfer coefficient based on the wall thermal resistance; The basic calibration temperature is calculated according to the building wall area, wall heat transfer coefficient, building surface temperature and indoor air temperature, wherein the calculation formula is: Q(T)=T2+A(a)*U(s)*(T2-T1); Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

3. The energy-saving control method for cooling station equipment based on dynamic load data according to claim 1 is characterized in that: The step of obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters includes: Acquiring the number of personnel according to the floating load characteristic parameter, wherein the floating load characteristic parameter refers to a parameter that fluctuates within a preset time, and the number of personnel is obtained based on a camera; Acquire a plurality of corresponding human body heat values ​​according to the number of people, acquire an average human body heat value according to the plurality of human body heat values, and acquire a floating temperature of human flow according to the average human body heat value and the number of people; Obtain outdoor light radiation temperature based on temperature sensor; The gain floating temperature is calculated according to the floating temperature of the human flow and the outdoor light radiation temperature, and the adjustment temperature is calculated by weighting the gain floating temperature and the basic calibration temperature.

4. The method for energy-saving control of cold station equipment based on dynamic load data according to claim 1, characterized in that: The step of calculating the cooling capacity according to the volume of the cooling area, the adjustment temperature, and the specific heat of air comprises: Acquiring a first atmospheric pressure based on an atmospheric pressure sensor; Acquire a first temperature based on a temperature sensor, and acquire air density according to the first atmospheric pressure and the first temperature; Obtaining the temperature movement trajectory of the floating temperature of the flow of people based on the infrared sensor, obtaining the temperature radiation range according to the movement trajectory, and mapping the temperature radiation range to a two-dimensional coordinate system to obtain a plurality of temperature radiation range edge coordinates, drawing a refrigeration layout plane based on the plurality of temperature radiation range edge coordinates based on CAD, and mapping the refrigeration layout plane to the refrigeration area volume to segment the refrigeration area volume to obtain a segmented refrigeration area volume; The air quality is obtained according to the volume of the divided refrigeration area and the air density, and the refrigeration capacity is calculated according to the air quality, the adjusted temperature and the air specific heat.

5. The method for energy-saving control of cold station equipment based on dynamic load data according to claim 1, characterized in that: The steps of obtaining a cooling load difference according to the pipeline cross-sectional area, the air supply flow rate and the cooling capacity, obtaining a cooling time according to the cooling load difference and the adjusted temperature, and obtaining an ideal cooling power according to the cooling time and the cooling capacity include: Obtaining the inlet air supply flow rate according to the pipeline cross-sectional area and the air supply flow rate; Obtaining the length and diameter of the pipeline, and obtaining the Darcy friction coefficient of the pipeline based on the Reynolds number; Obtain outlet gas supply flow based on flow sensor; The gas loss coefficient is calculated according to the gas supply flow rate, the port gas supply flow rate, the length, the diameter and the Darcy friction coefficient, wherein the calculation formula is: Wherein, ΔP represents the gas loss coefficient, β represents the Darcy friction coefficient, L(d) represents the pipeline length, D represents the pipeline diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate; Obtaining the actual cooling capacity according to the gas loss coefficient and the cooling capacity, and calculating the cooling load difference according to the difference between the actual cooling capacity and the preset required cooling capacity; The cooling time is calculated according to the ratio of the cooling load difference and the adjustment temperature, and the ideal cooling power is calculated according to the ratio of the cooling capacity and the cooling time.

6. The method for energy-saving control of cold station equipment based on dynamic load data according to claim 1, characterized in that: The step of performing energy-saving control and adjustment on the cold station equipment according to the ideal refrigeration power comprises: Acquire a current first refrigeration power of a compressor in a refrigeration station device, and calculate a first power difference according to the first refrigeration power and an ideal refrigeration power; adjusting the compressor speed output according to the first power difference to obtain a compressor speed adjustment parameter; Obtaining a second current cooling power of a water pump in the cooling station equipment, and calculating a second power difference according to the second cooling power and an ideal cooling power; Adjust the water pump speed output according to the second power difference to obtain a second adjusted speed, obtain the water flow rate within a preset time according to the second adjusted speed, and obtain the corresponding water pump water flow pressure adjustment parameter according to the water flow rate; Obtaining a third current cooling power of a cooling tower in the cooling station equipment, and calculating a third power difference according to the third cooling power and the ideal cooling power; Adjust the fan speed in the cooling tower according to the third power difference to obtain a fan speed adjustment parameter, wherein the fan is installed in the cooling tower; Acquire a corresponding first weight factor according to the compressor speed adjustment parameter; Acquire a corresponding second weight factor according to the water flow pressure adjustment parameter of the water pump; The comprehensive energy-saving adjustment parameter of the cold station is calculated according to the compressor speed adjustment parameter, the water pump water flow pressure adjustment parameter, the fan speed adjustment parameter, the first weight factor and the second weight factor, wherein the calculation formula is: Z(H)=X(B)*a+X(Q)*b+D(L)*[1-ab]; Wherein, Z(H) represents the comprehensive energy-saving adjustment parameter of the cooling station, X(B) represents the compressor speed adjustment parameter, X(Q) represents the water flow pressure adjustment parameter of the water pump, D(L) represents the fan speed adjustment parameter, a represents the first weight factor, and b represents the second weight factor; Energy-saving control and adjustment are performed on the cooling station equipment according to the cooling station comprehensive energy-saving adjustment parameters.

7. A cooling station equipment energy-saving control system based on dynamic load data, applied to cooling station equipment, characterized in that: include: The first acquisition module is used to acquire the basic load characteristic parameters and floating load characteristic parameters of the building, wherein the basic load characteristic parameters include the building surface temperature and the indoor air temperature, and the floating load characteristic parameters include the floating temperature of human flow and the outdoor light radiation temperature; A second acquisition module is used to acquire the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters; A third acquisition module is used to acquire the volume of the refrigeration area, and acquire the specific heat of air in the volume of the refrigeration area based on a constant pressure calorimeter, and calculate the refrigeration capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air; A fourth acquisition module is used to obtain the pipe cross-sectional area and the air supply flow rate of the refrigeration station equipment, and obtain the refrigeration load difference according to the pipe cross-sectional area, the air supply flow rate and the refrigeration capacity, obtain the cooling time according to the refrigeration load difference and the adjustment temperature, and obtain the ideal cooling power according to the cooling time and the refrigeration capacity; The first control module is used to perform energy-saving control and adjustment on the refrigeration station equipment according to the ideal refrigeration power.

8. The energy-saving control system for cooling station equipment based on dynamic load data according to claim 7 is characterized in that: The first acquisition module includes: A first acquisition unit is used to acquire the thickness of the building according to the basic load characteristic parameter, wherein the basic load characteristic parameter refers to a parameter that remains stable within a preset time; A second acquisition unit is used to acquire a preset thermal conductivity corresponding to the building surface, and acquire a wall thermal resistance according to the preset thermal conductivity and the building thickness; A third acquisition unit is used to acquire the internal air temperature and the external air temperature of the building surface based on the temperature sensor, and use the internal air temperature as the indoor air temperature; A first calculation unit, used for calculating the building surface temperature according to the wall thermal resistance, the indoor air temperature and the external air temperature; The fourth acquisition unit is used to acquire the building wall area; A fifth acquisition unit, used for acquiring a wall heat transfer coefficient according to the wall thermal resistance; The second calculation unit is used to calculate the basic calibration temperature according to the building wall area, the wall heat transfer coefficient, the building surface temperature and the indoor air temperature, wherein the calculation formula is: Q(T)=T2+A(a)*U(s)*(T2-T1); Among them, Q(T) represents the basic calibration temperature, A(a) represents the building wall area, U(s) represents the wall heat transfer coefficient, T1 represents the building surface temperature, and T2 represents the indoor air temperature.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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