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

Abstract

The present invention relates to the field of energy-saving control technology, and specifically discloses an energy-saving control method and system for cooling station equipment based on dynamic load data. The present invention first obtains the basic load characteristic parameters and floating load characteristic parameters of a building, then obtains the adjustment temperature according to the basic load characteristic parameters and floating load characteristic parameters, then obtains the cooling capacity and the volume of the cooling area, and then obtains the cooling time according to the adjustment temperature and the volume of the cooling area. Finally, according to the cooling time and the cooling capacity, the ideal cooling power is obtained, and at the same time, the output power of the compressor, water pump and cooling tower in the cooling station equipment is coordinated and adjusted according to the ideal cooling power 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 also be met. The cooling station equipment with dynamic temperature adjustment can avoid the problem of energy waste.

Description

Technical Field

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

[0002] In modern buildings, cooling regulation requires the use of cooling station equipment for regulation, wherein cooling station equipment (such as heating, ventilation and air conditioning (HVAC) systems) 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 regulate the temperature of the building. This will result in the centralized cooling being unable to meet the needs of dynamic temperature regulation in the building. Therefore, a cold station equipment energy-saving control method and system 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 cooling station equipment based on dynamic load data, so as to solve the technical problems raised in the above 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 cooling area, and obtaining the specific heat of air in the cooling area based on a constant pressure calorimeter, and calculating the cooling capacity based on the volume of the cooling area, the adjustment temperature, and the specific heat of air;

[0010] Obtaining a pipe cross-sectional area and a supply air velocity of the cooling station equipment, and obtaining a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtaining a cooling time based on the cooling load difference and the adjusted temperature, and obtaining an ideal cooling power based on the cooling time and the cooling capacity;

[0011] Energy-saving control and adjustment of cooling 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 building thickness 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 coefficient corresponding to the building surface, and obtaining the wall thermal resistance based on the preset thermal conductivity coefficient 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] Where 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 includes:

[0023] Obtaining the number of personnel based on 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 multiple corresponding body heat values ​​according to the number of people, acquire an average body heat value according to the multiple body heat values, and acquire a floating temperature of the crowd according to the average 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 human flow floating temperature 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] obtaining a first atmospheric pressure based on an air 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 a temperature movement trajectory of the floating temperature of a crowd based on an infrared sensor, obtaining a temperature radiation range based on the movement trajectory, and mapping the temperature radiation range to a two-dimensional coordinate system to obtain multiple temperature radiation range edge coordinates. Drawing a cooling layout plane based on the multiple temperature radiation range edge coordinates based on CAD, and mapping the cooling layout plane to the cooling area volume to segment the cooling area volume to obtain segmented cooling area volumes;

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

[0032] Preferably, the steps of obtaining a cooling load difference according to the pipe 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:

[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 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 pipe length, D represents the pipe diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate;

[0039] 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;

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

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

[0042] Obtaining a current first cooling power of a compressor in a cooling station device, and calculating a first power difference based on the first cooling power and an ideal cooling 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] Adjusting the water pump speed output according to the second power difference to obtain a second adjusted speed, 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;

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

[0047] adjusting a 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] Obtaining a corresponding first weight factor according to the compressor speed adjustment parameter;

[0049] Obtaining 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 cooling station is calculated based on the compressor speed adjustment parameter, the water pump water flow pressure adjustment parameter, the fan speed adjustment parameter, the first weighting factor and the second weighting 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 weighting factor, and b represents the second weighting factor;

[0053] Energy-saving control and adjustment of the cooling station equipment are performed 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] A first acquisition module is configured to acquire basic load characteristic parameters and floating load characteristic parameters of a 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, configured to acquire the volume of the refrigeration region, acquire the specific heat of air in the volume of the refrigeration region based on a constant pressure calorimeter, and calculate the cooling capacity based on the volume of the refrigeration region, the adjusted temperature, and the specific heat of air;

[0058] a fourth acquisition module, configured to obtain a pipe cross-sectional area and a supply air velocity of the cooling station equipment, obtain a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtain a cooling time based on the cooling load difference and the adjusted temperature, and obtain an ideal cooling power based on the cooling time and the cooling capacity;

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

[0060] Preferably, the first acquisition module includes:

[0061] a first acquiring unit, configured 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 the wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0063] a third acquiring unit, configured to acquire an internal air temperature and an external air temperature of a building surface based on a temperature sensor, and use the internal air temperature as the indoor air temperature;

[0064] a first calculation unit, configured to calculate the building surface temperature based on the wall thermal resistance, the indoor air temperature, and the external air temperature;

[0065] The fourth obtaining unit is used to obtain the building wall area;

[0066] a fifth acquiring unit, configured to acquire 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] Where 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, comprising 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 having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[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 pedestrian flow and the outdoor light radiation temperature; then, the adjustment temperature is obtained based on the basic load characteristic parameters and the floating load characteristic parameters; then, the volume of the cooling area is obtained, and the specific heat of the air in the cooling area volume is obtained based on a constant pressure calorimeter; and the cooling capacity is calculated based on the cooling area volume, the adjustment temperature, and the specific heat of the air; then, the pipe cross-sectional area and the supply air flow rate of the cooling station equipment are obtained, and the cooling load difference is obtained based on the pipe cross-sectional area, the supply air flow rate, and the cooling capacity; the cooling time is obtained based on the cooling load difference and the adjustment temperature; and the ideal cooling power is obtained based on the cooling time and the cooling capacity; finally, the output power of the compressor, water pump, and cooling tower in the cooling station equipment is coordinated and adjusted based on the ideal cooling power to meet the demand for dynamically cooling the temperature in the building. This can avoid energy waste caused by centralized cooling and can also 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 This is a schematic diagram of a method flow chart according to an embodiment of the present application.

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

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

[0076] The realization of the objectives, 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 intended 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. Obtaining basic load characteristic parameters and floating load characteristic parameters of a 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 an adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters;

[0081] S3. Obtaining the volume of the cooling area, and obtaining the specific heat of the air in the cooling area using a constant pressure calorimeter, and calculating the cooling capacity based on the volume of the cooling area, the adjusted temperature, and the specific heat of the air;

[0082] S4. Obtaining a pipe cross-sectional area and a supply air velocity of the cooling station equipment, and obtaining a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtaining a cooling time based on the cooling load difference and the adjusted temperature, and obtaining an ideal cooling power based on the cooling time and the cooling capacity;

[0083] S5. Perform energy-saving control and adjustment on the cooling station equipment according to the ideal cooling power, wherein the cooling station equipment consists 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 achieve energy saving needs. 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, and after segmentation, directional and precise data can be obtained, which is convenient for providing an 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, and then 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 at the same time adjust the temperature to the temperature that needs to be adjusted in the current building, so that after obtaining the temperature that needs to be adjusted, the building can be adjusted to a comfortable temperature, and then the volume of the cooling area is obtained, and the air specific heat in the cooling area volume is obtained 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 the cooling capacity is calculated based on the cooling area volume, adjustment temperature, and air specific heat, wherein the constant pressure calorimeter is an instrument used to measure the heat absorption or release of a substance under constant pressure, so the cooling capacity calculated in this way can be conveniently used. 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 air flow rate of the cooling station equipment are then obtained, and the cooling load difference is obtained based on the pipe cross-sectional area, supply air 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 air 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 regulation. The cooling time is calculated based on the ratio of the cooling load difference and the regulated temperature.The cooling power is obtained by dividing the cooling capacity by the cooling time. After obtaining the cooling power, 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 temperature. This can avoid the energy waste caused by centralized cooling and can also 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 step S2 of obtaining the adjustment temperature according to the basic load characteristic parameters and the floating load characteristic parameters, the following steps are included:

[0086] S101. Obtaining a building thickness according to the foundation load characteristic parameter, wherein the foundation load characteristic parameter refers to a parameter that remains stable within a preset time;

[0087] S102: Obtain a preset thermal conductivity corresponding to the building surface, and obtain the wall thermal resistance based on 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 based on the wall thermal resistance, indoor air temperature and external air temperature;

[0090] S105. Obtain the building wall area;

[0091] S106. Obtaining a wall heat transfer coefficient based on the wall thermal resistance;

[0092] S107. Calculate a basic calibration temperature based on 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] Where 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 dynamic load data will affect the energy-saving control of the cooling station equipment, the present invention first obtains the building thickness based on the basic load characteristic parameters, and then the building thickness can more accurately describe and reflect the actual insulation characteristics of the building, and provide basic data for the subsequent calculation of the wall thermal resistance. Then, the preset thermal conductivity coefficient corresponding to the building surface is obtained, and the wall thermal resistance is obtained based on the preset thermal conductivity coefficient and the building thickness. In this way, the wall thermal resistance is calculated by the building thickness and the preset thermal conductivity coefficient, and the thermal insulation performance of the wall can be evaluated. The wall thermal resistance reflects the thermal insulation capacity of the wall. The greater 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 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 Then obtain the building wall area, and then obtain the wall heat transfer coefficient based on the wall thermal resistance, where the wall heat transfer coefficient is obtained based on the current building material. Since the basic temperature needs to be obtained during cooling adjustment, the wall temperature and 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 traffic 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 based on 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 benchmark, which is defined as the basic calibration temperature. The above values ​​are only used for illustration and are not the only reference.

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

[0097] S201. Obtaining the number of personnel based on 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: Acquire multiple body heat values ​​corresponding to the number of people, acquire an average body heat value based on the multiple body heat values, and acquire a floating temperature of the crowd based on the average body heat value and the number of people;

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

[0100] S204: Calculate the gain floating temperature according to the crowd floating temperature and the outdoor light radiation temperature, wherein the calculation formula is:

[0101] ΔT gain =ΔT human +ΔT rad ;

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

[0103] The adjustment temperature is calculated based on the weighted gain floating temperature and the basic calibration temperature.

[0104] As described in steps S201-S204 above, the present invention obtains the number of people based on 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 people is obtained based on a camera. In this way, the number of people in the room is determined to facilitate calculation of human body heat generation, while also monitoring the flow of people in real time to ensure the real-time and accuracy of the calculation results. Then, multiple corresponding human body heat generation values ​​are obtained based on the number of people, and the average human body heat generation value is obtained based on the multiple human body heat generation values. Then, the human flow floating temperature is obtained based on the average human body heat generation value and the number of people. Such human flow floating temperature can provide an important basis for indoor cooling regulation in the building. Then, the outdoor light radiation temperature is obtained based on the temperature sensor, and a gain floating temperature is calculated based on the human flow floating temperature and the outdoor light radiation temperature. Such a gain floating temperature comprehensively considers the effects of human flow fluctuation and outdoor light radiation on indoor temperature, providing comprehensive data support for dynamic adjustment of cooling station equipment. Then, the adjusted temperature is calculated based on the weighted gain floating temperature and the basic calibration temperature. Thus, the adjusted temperature comprehensively considers the effects of the base load and floating load, providing a scientific basis for precise control of cooling station equipment, ensuring that the indoor temperature reaches an optimal state, and optimizing 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 includes:

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

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

[0108] S303: Obtaining a temperature movement trajectory of the floating temperature of a pedestrian flow using an infrared sensor, obtaining a temperature radiation range based on 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 cooling layout plane using the plurality of temperature radiation range edge coordinates based on CAD, and mapping the cooling layout plane to the cooling area volume to segment the cooling area volume to obtain segmented cooling area volumes.

[0109] S304: Obtain air quality based on the volume of the divided cooling area and the air density, and calculate cooling capacity based on the air quality, the adjusted temperature, and the specific heat of the air, wherein the calculation formula is:

[0110] Q(z)=M(z)*c p *ΔL;

[0111] Among them, Q(z) represents the cooling capacity, M(z) represents the air quality, 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. In this way, the air density is calculated by the atmospheric pressure and temperature, and accurate data support is provided for the subsequent calculation of the air quality. 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. 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 the CAD drawing of the cooling layout plane, and 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. This division of the 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, adjustment temperature and air specific heat. 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, step S4 of obtaining a cooling load difference according to the pipe 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 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 pipe length, D represents the pipe diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate;

[0120] S404: Obtaining an actual cooling capacity based on the gas loss coefficient and the cooling capacity, and calculating a cooling load difference based on 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 to the adjustment temperature, and calculate the ideal cooling power according to the ratio of the cooling capacity to the cooling time.

[0122] As described in the above steps S401-S403, the present invention first obtains the gas supply flow rate based on the cross-sectional area of ​​the pipeline and the gas supply flow rate. In this way, by measuring the cross-sectional area of ​​the pipeline and the gas supply flow rate, the inlet gas supply flow rate is obtained to provide accurate data support for subsequent calculations. Then, the length and diameter of the pipeline 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. It reflects the friction resistance between the fluid and the inner wall of the pipeline. 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. The actual cooling capacity is then obtained based on the gas loss coefficient and the cooling capacity. The cooling load difference is calculated based on the difference between the actual cooling capacity and the preset required cooling capacity. By calculating the actual cooling capacity and the cooling load difference, the actual operating status of the cold station equipment is evaluated, which provides a basis for subsequent adjustments. The cooling time is then calculated based on the cooling load difference and the adjusted temperature. Finally, the cooling power is calculated based on 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 dynamic cooling of the building. This can avoid energy waste caused by centralized refrigeration and 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 cooling station equipment according to the ideal cooling power, wherein the cooling station equipment is composed of a compressor, a water pump, and a cooling tower, includes:

[0124] S501: Obtain a current first cooling power of a compressor in a cooling station device, and calculate a first power difference based on the first cooling power and an ideal cooling power;

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

[0126] S503: Obtain a second current cooling power of a water pump in the cooling station equipment, and calculate a second power difference based on the second cooling power and the ideal cooling power;

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

[0128] S505: Obtain a third current cooling power of a cooling tower in the cooling station equipment, and calculate a third power difference based on 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: Obtain 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. Calculate 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 weighting factor, and the second weighting 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 weighting factor, and b represents the second weighting factor;

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

[0136] As described in the above steps S501-S5010, since the energy-saving control and adjustment of the cooling station equipment is carried out according to the ideal cooling power, the cooling station equipment is composed of a compressor, a water pump and a cooling tower. Therefore, the compressor, the water pump and the cooling tower need to be adjusted synchronously. At the same time, the compressor speed adjustment, the water pump water flow pressure adjustment and the fan speed adjustment need to be comprehensively considered to ensure that the overall energy efficiency of the cooling station equipment is optimized. On this basis, the present invention first obtains the current first cooling power of the compressor, and calculates the first power difference based on the first cooling power and the cooling power. In this way, the difference between the current cooling power and the required cooling power is calculated, which provides a basis for adjusting the compressor speed in the next step, 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. In this way, the compressor speed is adjusted according to the power difference to ensure that the cooling power output by the compressor is consistent with the demand. After adjusting the compressor speed, over-cooling or insufficient cooling can be avoided, and energy efficiency can be improved. Then the current second cooling power of the water pump is obtained, and the second power difference is calculated based on the second cooling power and the cooling power. The cooling power obtained in this way can ensure the real-time and accuracy of the data. After calculating the difference between the current cooling power and the required cooling power, it can provide a basis for the next step of adjusting the water pump speed, and then adjust the water pump speed according to the second power difference. The whole water pump speed is output to obtain a second adjustment speed, and the water flow rate within the 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 is avoided, and energy efficiency is improved. Then, the current third cooling power of the cooling tower is obtained, and a 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 cooling 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 dynamic cooling of 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.

[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 obtain the basic load characteristic parameters and floating load characteristic parameters of the building, and obtain the building surface temperature and indoor air temperature according to the basic load characteristic parameters, and obtain the basic calibration temperature according to the building surface temperature and indoor air temperature;

[0139] A second acquisition module 2 is configured to acquire a floating temperature of human traffic and an outdoor light radiation temperature according to the floating load characteristic parameter, acquire a gain floating temperature according to the floating temperature of human traffic and the outdoor light radiation temperature, acquire a comprehensive real-time temperature according to the gain floating temperature and a basic calibration temperature, and acquire an adjusted temperature according to the comprehensive real-time temperature and a preset target temperature;

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

[0141] A fourth acquisition module 4 is configured to obtain a pipe cross-sectional area and a supply air velocity of the cooling station equipment, obtain a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtain a cooling time based on the cooling load difference and the adjusted temperature, and obtain an ideal cooling power based on the cooling time and the cooling capacity;

[0142] The first control module 5 is used to perform energy-saving control and adjustment on the cooling station equipment according to the ideal cooling power, wherein the cooling 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 acquiring unit, configured 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 the wall thermal resistance according to the preset thermal conductivity and the building thickness;

[0146] a third acquiring unit, configured to acquire an internal air temperature and an external air temperature of a building surface based on a temperature sensor, and use the internal air temperature as the indoor air temperature;

[0147] a first calculation unit, configured to calculate the building surface temperature based on the wall thermal resistance, the indoor air temperature, and the external air temperature;

[0148] The fourth obtaining unit is used to obtain the building wall area;

[0149] a fifth acquiring unit, configured to acquire 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] Where 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, which, when executed by a processor, implements the steps of the above-mentioned method for energy-saving control of cooling station equipment based on dynamic load data.

[0154] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media 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 many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0155] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising 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 description 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 building thickness 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 coefficient corresponding to the building surface, and obtaining the wall thermal resistance based on the preset thermal conductivity coefficient 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); Where 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. Obtaining the number of personnel based on 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 multiple corresponding body heat values ​​according to the number of people, acquire an average body heat value according to the multiple body heat values, and acquire a floating temperature of the crowd according to the average body heat value and the number of people; Obtain outdoor light radiation temperature based on temperature sensor; Calculating a gain floating temperature according to the crowd floating temperature and the outdoor light radiation temperature, and calculating an adjustment temperature according to a weighted calculation of the gain floating temperature and a basic calibration temperature; Obtaining the volume of the cooling area, and obtaining the specific heat of air in the cooling area based on a constant pressure calorimeter, and calculating the cooling capacity based on the volume of the cooling area, the adjustment temperature, and the specific heat of air; Obtaining a pipe cross-sectional area and a supply air velocity of the cooling station equipment, and obtaining a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtaining a cooling time based on the cooling load difference and the adjusted temperature, and obtaining an ideal cooling power based on the cooling time and the cooling capacity; Energy-saving control and adjustment of cooling station equipment is carried out according to the ideal cooling power.

2. 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 calculating the cooling capacity according to the volume of the refrigeration area, the adjustment temperature, and the specific heat of air comprises: obtaining a first atmospheric pressure based on an air 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 a temperature movement trajectory of the floating temperature of a crowd based on an infrared sensor, obtaining a temperature radiation range based on the movement trajectory, and mapping the temperature radiation range to a two-dimensional coordinate system to obtain multiple temperature radiation range edge coordinates. Drawing a cooling layout plane based on the multiple temperature radiation range edge coordinates based on CAD, and mapping the cooling layout plane to the cooling area volume to segment the cooling area volume to obtain segmented cooling area volumes; The air mass is obtained according to the volume of the divided refrigeration area and the air density, and the cooling capacity is calculated according to the air mass, the adjusted temperature and the air specific heat.

3. The energy-saving control method for cooling 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 pipe 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 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 pipe length, D represents the pipe diameter, J represents the inlet gas flow rate, and C represents the outlet gas flow rate; 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; The cooling time is calculated according to the ratio of the cooling load difference to the adjustment temperature, and the ideal cooling power is calculated according to the ratio of the cooling capacity to the cooling time.

4. The energy-saving control method for cooling 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 cooling station equipment according to the ideal cooling power includes: Obtaining a current first cooling power of a compressor in a cooling station device, and calculating a first power difference based on the first cooling power and an ideal cooling 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; Adjusting the water pump speed output according to the second power difference to obtain a second adjusted speed, 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; Obtaining a third current cooling power of a cooling tower in the cooling station equipment, and calculating a third power difference based on the third cooling power and the ideal cooling power; adjusting a 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; Obtaining a corresponding first weight factor according to the compressor speed adjustment parameter; Obtaining 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 cooling station is calculated based on 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- a - b]; 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 weighting factor, and b represents the second weighting factor; Energy-saving control and adjustment of the cooling station equipment are performed according to the cooling station comprehensive energy-saving adjustment parameters.

5. A cooling station equipment energy-saving control system based on dynamic load data, applied to cooling station equipment, characterized in that: include: A first acquisition module is configured to acquire basic load characteristic parameters and floating load characteristic parameters of a 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 building thickness 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 coefficient corresponding to the building surface, and obtaining the wall thermal resistance based on the preset thermal conductivity coefficient 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); Where 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. A second acquisition module is configured to acquire an adjusted temperature based on a basic load characteristic parameter and a floating load characteristic parameter, specifically comprising: acquiring a number of personnel based on 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 multiple corresponding body heat values ​​according to the number of people, acquire an average body heat value according to the multiple body heat values, and acquire a floating temperature of the crowd according to the average body heat value and the number of people; Obtain outdoor light radiation temperature based on temperature sensor; Calculating a gain floating temperature according to the crowd floating temperature and the outdoor light radiation temperature, and calculating an adjustment temperature according to a weighted calculation of the gain floating temperature and a basic calibration temperature; a third acquisition module, configured to acquire the volume of the refrigeration region, acquire the specific heat of air in the volume of the refrigeration region based on a constant pressure calorimeter, and calculate the cooling capacity based on the volume of the refrigeration region, the adjusted temperature, and the specific heat of air; a fourth acquisition module, configured to obtain a pipe cross-sectional area and a supply air velocity of the cooling station equipment, obtain a cooling load difference based on the pipe cross-sectional area, the supply air velocity, and the cooling capacity, obtain a cooling time based on the cooling load difference and the adjusted temperature, and obtain an ideal cooling power based on the cooling time and the cooling capacity; The first control module is used to perform energy-saving control and adjustment on the cooling station equipment according to the ideal cooling power.

6. 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 4 are implemented.

7. 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 4 are implemented.

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