Integrated refrigeration station control method and system

Abstract

The present application provides an integrated cold station control method and system, and the integrated cold station control system is mainly composed of a cold station cluster, a cold storage tank, a detection and adjustment module, and a control module. The system supplies cold to the cold end and stores cold in the cold storage tank through the cold station cluster, and the cold storage tank can also supply cold to the cold end. The detection and adjustment module is responsible for monitoring the operating status of the cold station cluster and the cold storage tank, and the control module coordinates the operation of the entire system. The system also includes a cooling strategy, including the steps of: obtaining the demand data of the cold end to determine the high and low load periods within the day; collecting the real-time cold usage data of the cold end and the cold storage data of the cold storage tank; in the low-load period, the cold supply and cold storage ratio is determined according to the standard cooling power of the cluster, the current cold usage data and the cold storage data, and the cold supply and storage ratio is simultaneously supplied to the cold end and stored in the cold storage tank according to this ratio; in the high-load period, the system will determine the station supply and storage ratio according to the same parameters, and allocate the cold station cluster and the cold storage tank according to this ratio to jointly supply cold to the cold end.

Description

Technical Field

[0001] The present application relates to the field of refrigeration, and in particular to an integrated refrigeration station control method and system. Background Art

[0002] Integrated cooling station is a new type of refrigeration equipment that centrally arranges the core components of the refrigeration system, such as refrigeration units, cooling towers, and water pumps, in a modular unit. This integrated design makes the installation, commissioning, and maintenance of the refrigeration system more convenient, greatly reducing the complexity of on-site construction. Integrated cooling station is mainly used for centralized cooling needs in commercial buildings, data centers, industrial production, and other occasions, with significant advantages such as small footprint and short construction period.

[0003] In practical applications, the control methods of integrated cooling stations mainly include fixed frequency control, variable frequency control, and intelligent control based on load prediction. Fixed frequency control is the most basic control method, which adjusts the cooling capacity by starting and stopping the equipment. The implementation is simple but the energy efficiency is low. Variable frequency control can adjust the operating frequency of the compressor and water pump in real time according to the load demand, thereby improving the system operation efficiency.

[0004] However, integrated cold stations also have some obvious shortcomings. As far as fixed frequency control is concerned, its main disadvantages include: the system energy efficiency ratio is generally low, because the compressor can only operate at the rated frequency and cannot adjust the operating state according to the actual load demand; frequent start and stop operations will cause increased wear of system components and shorten the service life of the equipment; under partial load conditions, the fixed frequency system often has a mismatch between the cooling capacity and the actual demand, resulting in energy waste; at the same time, the fixed frequency control has poor control accuracy for the system's chilled water temperature, which is difficult to meet the occasions with high temperature requirements such as precision air conditioning.

[0005] In terms of variable frequency control, although it is more advanced than fixed frequency control, the following problems still exist: the introduction of the frequency converter increases the complexity of the system and the failure rate increases accordingly; when operating at extremely low frequencies, the lubrication effect of the compressor deteriorates, which may affect its reliability; the variable frequency control system has a greater impact on grid harmonics and requires additional harmonic control devices; in addition, the control algorithm of the variable frequency system is relatively complex and has high requirements for the stability of operating parameters. If the parameters are set improperly, it is easy to cause system oscillation and affect the refrigeration effect. Summary of the invention

[0006] In order to increase the service life of refrigeration equipment and reduce maintenance costs, the present application provides an integrated refrigeration station control method, including the following steps:

[0007] A1, obtaining the preset cooling demand data of the cooling end and determining the corresponding daily high cooling load period and daily low cooling load period;

[0008] A2, collecting current cold usage data of the cold end and current cold storage data of a preset cold storage tank;

[0009] A3, during the period of low cooling load during the day, determine the cooling supply and storage ratio corresponding to the period of low cooling load during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data;

[0010] A4, during the low-load period of the day at the cold end, supplying cold to the cold end and storing cold in the cold storage pool through a preset cold station cluster according to the cold supply and cold storage ratio;

[0011] A5, determining the station supply-storage ratio corresponding to the high-load period of daily cooling according to the standard cooling power of the cluster, the current cooling data and the current cooling storage data, wherein the station supply-storage ratio is the ratio of the cooling power of the cooling station cluster and the cooling storage pool respectively supplying cooling to the cooling end;

[0012] A6, during the period of high cooling load at the cooling end during the day, cooling is supplied to the cooling end through the cooling station cluster and the cold storage pool according to the station supply-storage ratio.

[0013] By adopting the above technical scheme, the integrated cold station control method can realize the segmented management of refrigeration efficiency through the intelligent cooling strategy. The system reasonably allocates the cooling capacity of the cold station cluster during the low-load period of cooling, one part of which is directly used for cooling, and the other part is used for cold storage in the cold storage pool; in the high-load period of cooling, the cooling capacity of the cold station cluster and the cold storage pool is comprehensively utilized to achieve peak shaving and valley filling. This dynamic adjustment method not only improves the energy utilization efficiency of the entire system and reduces the operating cost, but also can better meet the user's cooling needs at different times, making the cooling process more stable and reliable, and can also reduce the operating load of the cold station cluster during the high-load period of cooling, thereby increasing the service life of the equipment and reducing maintenance costs.

[0014] Optionally, in order to form complete cooling demand data to accurately reflect the dynamic change characteristics of cooling demand, the integrated cooling station control method includes the following steps for obtaining cooling demand data:

[0015] A101, determining corresponding data collection moments within a preset data collection period at a preset sampling interval;

[0016] A102, at the data collection time, collecting the cold end water inlet temperature, cold end water outlet temperature and cold end water circulation flow rate corresponding to the cold end;

[0017] A103, calculating the corresponding circulation temperature difference according to the difference between the cold end water inlet temperature and the cold end water outlet temperature corresponding to each data collection moment;

[0018] A104, calculating the corresponding cold end heat rejection power according to the product of the circulation temperature difference corresponding to each data collection moment, the cold end water circulation flow rate and the preset specific heat capacity of the circulation water;

[0019] A105, generating cooling demand data according to the cooling end heat rejection power combination corresponding to each data collection moment.

[0020] By adopting the above technical solution, the integrated cold station control method can calculate the actual heat rejection power of the cold end by collecting the inlet and outlet water temperatures and circulation flow of the cold end, thereby forming complete cooling demand data, which not only ensures the accuracy of the data, but also can reflect the dynamic change characteristics of the cooling demand, provide reliable data support for the subsequent cooling strategy formulation, and help to achieve more accurate cooling control.

[0021] Optionally, in order to achieve reasonable peak-shifting cooling and optimize energy utilization, the integrated cooling station control method includes the following steps for determining a high-load cooling period and a low-load cooling period during the day:

[0022] A106, determining the daily data of each cooling demand according to the cooling demand data;

[0023] A107, according to the intraday collection time corresponding to the data collection time, obtain the corresponding cold end heat rejection power from the intraday data of each cooling demand day and calculate the average heat rejection power at the corresponding time;

[0024] A108, generating typical day cooling demand data according to the heat rejection power average values ​​corresponding to the collection times within each day;

[0025] A109, in the typical day cooling demand data, determine the daily collection time corresponding to the maximum value and define it as the peak time, and determine the daily collection time corresponding to the minimum value and define it as the valley time;

[0026] A110, determines the corresponding intraday high-load cooling period according to the peak time and the preset high-load window size;

[0027] A111, determine the corresponding intraday low-load cooling period according to the off-peak time and the preset low-load time window size.

[0028] By adopting the above technical scheme, the integrated cold station control method can statistically analyze the historical cold usage data, calculate the cold usage demand data for a typical day, and divide the high-load and low-load periods based on the maximum and minimum heat rejection power times. It not only takes into account the cold usage characteristics of the cold end, but also ensures the rationality of the division through the preset time window size, providing a reliable time benchmark for achieving staggered cooling and optimizing energy utilization, and helping the system to achieve more reasonable cooling scheduling.

[0029] Optionally, in order to accurately grasp the real-time status of cooling demand and cooling storage, step A2 includes the following steps:

[0030] A201, collecting the current cold end water inlet temperature, the current cold end water outlet temperature and the current cold end water circulation flow rate corresponding to the cold end;

[0031] A202, calculate the corresponding current circulation temperature difference according to the difference between the current cold end water inlet temperature and the current cold end water outlet temperature;

[0032] A203, calculate the corresponding current cold end heat rejection power according to the product of the current circulation temperature difference, the current cold end water circulation flow rate and the specific heat capacity of the circulating water;

[0033] A204, combining the current cold end water inlet temperature, the current cold end water outlet temperature, the current cold end water circulation flow rate and the current cold end heat rejection power to generate the current cold end data;

[0034] A205, collecting the current cold storage tank temperature and the current total amount of cold storage liquid of the cold storage tank;

[0035] A206, calculating the current available temperature difference of the cold storage tank according to the difference between the current cold storage tank temperature and the current cold end outlet water temperature;

[0036] A207, calculate the corresponding current potential heat rejection of the cold storage tank according to the product of the current available temperature difference of the cold storage tank and the specific heat capacity of the circulating water;

[0037] A208, combining the current cold storage tank temperature, the current total amount of cold storage liquid and the current potential heat rejection of the cold storage tank to generate current cold storage data.

[0038] By adopting the above technical solution, the integrated cold station control method can calculate the real-time heat rejection power by collecting the current temperature and flow parameters of the cold end, and simultaneously monitor the temperature and cold storage capacity of the cold storage pool, and calculate the potential heat rejection capacity of the cold storage pool through temperature difference analysis, thereby ensuring that the system can accurately grasp the real-time status of cold demand and cold storage conditions, providing complete data support for formulating accurate cooling strategies, and helping the system to achieve more accurate and efficient cooling regulation.

[0039] Optionally, in order to avoid excessive refrigeration load of the refrigeration system and achieve a balance between cold supply and cold storage, step A3 includes the following steps:

[0040] A301 calculates the corresponding current cluster surplus cooling power based on the difference between the cluster standard cooling power and the current cold end heat rejection power in the current cooling data;

[0041] A302, calculating a corresponding target cold storage capacity difference value based on a preset cold storage heat rejection target value and a current cold storage tank potential heat rejection value in the current cold storage data;

[0042] A303, obtaining the current time, and determining the corresponding low-load remaining time according to the current time and the low-load period of cooling in the day;

[0043] A304, calculating the corresponding target cooling power according to the quotient of the target cooling capacity difference and the low load remaining time;

[0044] A305: If the target cold storage power is not greater than the current surplus cooling power of the cluster, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the target cold storage power.

[0045] A306: If the target cold storage power is greater than the current cluster surplus cooling power, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the current cluster surplus cooling power.

[0046] By adopting the above technical solution, the integrated cold station control method can calculate the surplus cooling power of the cold station cluster in real time, and determine the target cold storage power in combination with the cold storage target and the remaining time, and then adjust the distribution ratio of cold supply and cold storage according to actual conditions. This not only ensures that the system can maximize the use of surplus cooling capacity for cold storage while meeting the current cooling demand, but also avoids excessive system cooling load through reasonable priority judgment, thereby achieving a balance between cold supply and cold storage.

[0047] Optionally, in order to ensure the cooling demand and realize the efficient operation of the system, step A5 includes the following steps:

[0048] A501, obtain the current time, and determine the corresponding high load remaining time according to the current time and the high cooling load period during the day;

[0049] A502, according to the cooling demand data at the current time in a typical day, determine the corresponding average heat rejection power at the corresponding time and define it as the current estimated cooling power demand;

[0050] A503, calculating the corresponding current potential cooling power of the cold storage pool according to the quotient of the current potential heat rejection of the cold storage pool and the remaining high load time in the current cold storage data;

[0051] A504 calculates the corresponding estimated cooling power deficit based on the difference between the current estimated required cooling power and the cluster standard cooling power;

[0052] A505, if the estimated cooling power deficit is not greater than the current potential cooling power of the cold storage pool, the corresponding station supply-storage ratio is calculated based on the ratio of the cluster standard cooling power and the estimated cooling power deficit;

[0053] A506, if the estimated cooling power deficit is greater than the current potential cooling power of the cold storage pool, the corresponding cooling power deficit of the cold storage pool is calculated based on the difference between the estimated cooling power deficit and the current potential cooling power of the cold storage pool;

[0054] A507 calculates the corresponding cluster target cooling power according to the sum of the cooling gap of the cold storage pool and the standard cooling power of the cluster;

[0055] A508, operating the cooling cluster according to the cluster target cooling power, and calculating the corresponding station supply-storage ratio according to the ratio of the cluster target cooling power and the current potential cold storage pool cooling power.

[0056] By adopting the above technical solution, the integrated cold station control method can dynamically calculate the optimal cooling ratio of the cold station cluster and the cold storage pool by estimating the cooling demand based on historical data and combining the current state and remaining cooling capacity of the cold storage pool. It can not only respond to possible cooling gaps in advance, but also flexibly adjust the cold station operating parameters according to actual conditions, thereby ensuring efficient operation of the system while ensuring cooling demand.

[0057] In order to increase the service life of refrigeration equipment and reduce maintenance costs, this application also provides an integrated cold station control system, including:

[0058] Cold station cluster;

[0059] Cold storage tank;

[0060] Detection and adjustment module;

[0061] Control module;

[0062] The cold station cluster can be connected to the cold storage tank and a preset cold end for cooling, the cold storage tank can be connected to the cold end for cooling, the detection and adjustment modules are respectively arranged in the cold station cluster and the cold storage tank, and the control module is data-connected to the cold station cluster, the cold storage tank and the detection and adjustment module;

[0063] The cold station cluster includes a plurality of independent integrated cold stations, a plurality of connection switching modules, a cold storage circulating water passage and a cold supply circulating water passage, one end of each of the connection switching modules is respectively connected to each of the independent integrated cold stations, and the other end can be selectively connected to the cold storage circulating water passage and the cold supply circulating water passage;

[0064] Wherein, the detection and adjustment module includes a plurality of temperature detection modules, a plurality of flow detection modules and a plurality of flow adjustment modules, each of the temperature detection modules, each of the flow detection modules and each of the flow adjustment modules are respectively arranged in each of the independent integrated cold stations, the cold storage circulating water passage and the cold supply circulating water passage, and each of the temperature detection modules, each of the flow detection modules and each of the flow adjustment modules are respectively communicatively connected to the control module;

[0065] Wherein, the integrated cold station control system further includes a cooling strategy, including the following steps:

[0066] B1, obtaining the cooling demand data of the cooling end through the detection and adjustment module and determining the corresponding daily high cooling load period and daily low cooling load period;

[0067] B2, collecting the current cold usage data of the cold end and the current cold storage data of the cold storage tank through the detection and adjustment module;

[0068] B3, determining the cooling supply and storage ratio corresponding to the low cooling load period during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data by the control module during the low cooling load period during the day;

[0069] B4, during the period of low cooling load at the cooling end during the day, supplying cooling to the cooling end through the cooling station cluster and storing cooling in the cooling storage pool according to the cooling supply and cooling storage ratio;

[0070] B5, determining the station supply-storage ratio corresponding to the high-load period of daily cooling by the control module according to the cluster standard cooling power, current cooling data and current cooling storage data during the high-load period of daily cooling, wherein the station supply-storage ratio is the ratio of the cooling power of the cooling station cluster and the cooling storage pool respectively supplying cooling to the cooling end;

[0071] B6, during the period of high cooling load at the cooling end during the day, supply cooling to the cooling end through the cooling station cluster and the cold storage pool according to the station supply-storage ratio.

[0072] By adopting the above technical scheme, the integrated cold station control system can realize segmented management of refrigeration efficiency through intelligent cooling strategy. The system reasonably allocates the cooling capacity of the cold station cluster during the period of low cooling load, with one part directly supplying cooling and the other part being used for cold storage in the cold storage pool; during the period of high cooling load, the cooling capacity of the cold station cluster and the cold storage pool is comprehensively utilized to realize peak shaving and valley filling. This dynamic adjustment method not only improves the energy utilization efficiency of the entire system and reduces the operating cost, but also can better meet the user's cooling needs at different times and make the cooling process more stable and reliable. It can also reduce the operating load of the cold station cluster during the period of high cooling load, thereby increasing the service life of the equipment and reducing maintenance costs.

[0073] In summary, the present application includes at least one of the following beneficial technical effects:

[0074] 1. The intelligent cooling strategy can be used to achieve segmented management of cooling efficiency. The system reasonably allocates the cooling capacity of the cold station cluster during the low-load period, with one part directly supplying cooling and the other part used to store cooling in the cold storage pool. During the high-load period, the cooling capacity of the cold station cluster and the cold storage pool is comprehensively utilized to achieve peak shaving and valley filling. This dynamic adjustment method not only improves the energy utilization efficiency of the entire system and reduces operating costs, but also can better meet the cooling needs of users at different times, making the cooling process more stable and reliable. It can also reduce the operating load of the cold station cluster during the high-load period, thereby increasing the service life of the equipment and reducing maintenance costs.

[0075] 2. The actual heat rejection power of the cold end can be calculated by collecting the inlet and outlet water temperatures and circulation flow of the cold end, thereby forming complete cooling demand data. This not only ensures the accuracy of the data, but also reflects the dynamic changes in cooling demand, providing reliable data support for subsequent cooling strategy formulation, and helping to achieve more accurate cooling control.

[0076] 3. Through statistical analysis of historical cooling data, the cooling demand data for a typical day can be calculated, and the high-load and low-load periods can be divided based on the maximum and minimum heat rejection power times. This not only takes into account the cooling characteristics of the cooling end, but also ensures the rationality of the division through the preset time window size, providing a reliable time benchmark for achieving staggered cooling and optimizing energy utilization, and helping the system to achieve more reasonable cooling scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 It is a process schematic diagram of the integrated cold station control method of the present invention.

[0078] Figure 2 It is a schematic diagram of the principle of the integrated cold station control system of the present invention. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0080] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0081] refer to Figure 1 and Figure 2 The present invention provides an integrated cold station control method, which provides chilled water for the precision air conditioning of the data center and the ambient air conditioning of other facilities so that they can be maintained at an appropriate temperature, including the following steps:

[0082] A1, obtaining the preset cooling demand data of the cooling end and determining the corresponding daily high cooling load period and daily low cooling load period;

[0083] The cooling demand data is the historical data of cooling demand of the cooling end in the past period of time, which can be obtained by collecting data at the cooling end;

[0084] The intraday high-load cooling period is the period of high-load cooling at the cooling end within a day, which can be determined by analyzing cooling demand data;

[0085] The intraday low-load cooling period is the period of low-load cooling at the cooling end within a day, which can be determined by analyzing cooling demand data;

[0086] The intraday high-load period for cooling and the intraday low-load period for cooling can also be set according to actual needs or experience.

[0087] A2, collecting the current cold usage data of the cold end and the current cold storage data of the preset cold storage tank 20;

[0088] The current cooling data is the cooling demand data of the cooling end at the current moment, which can be obtained by collecting corresponding data at the cooling end;

[0089] The current cold storage data is data on the refrigeration potential stored in the cold storage tank 20 at the current moment, for example, data such as the storage amount of chilled water in the cold storage tank 20 and its temperature.

[0090] A3, during the period of low cooling load during the day, determine the cooling supply and storage ratio corresponding to the period of low cooling load during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data;

[0091] The cluster standard cooling power is the preset cooling power of the cold station cluster 10 under normal load. The cluster standard cooling power can be set according to demand, or statically set or dynamically adjusted according to the collected data by the corresponding control method;

[0092] The cooling power supply / storage ratio is the ratio of the cooling power of the cooling station cluster 10 supplying cooling to the cold end and storing cooling in the cooling storage station 20;

[0093] That is, during the low-load period of cooling during the day, part of the cooling power of the cluster standard cooling power of the cooling station cluster 10 is provided to the cooling end for cooling, and the remaining cooling power is used to provide the cooling storage station 20 for cooling in preparation for subsequent auxiliary cooling use.

[0094] A4, during the low-load period of the day at the cold end, supplying cold to the cold end through the preset cold station cluster 10 and storing cold in the cold storage pool 20 according to the cold supply and cold storage ratio;

[0095] The ratio of the cooling power of the cooling station cluster 10 supplying cooling to the cold end and storing cooling in the cold storage station 20 is adjusted according to the cooling supply and cold storage ratio, so as to reasonably supply cooling to the cold end and store cooling in the cold storage pool 20.

[0096] A5: Determine the station supply and storage ratio corresponding to the high-load cooling period during the day according to the cluster standard cooling power, current cooling data and current cooling storage data;

[0097] The ratio of station supply to storage is the ratio of the cooling power of the cooling station cluster 10 and the cooling storage pool 20 respectively supplying cooling to the cold end;

[0098] Since the cold storage capacity of the cold storage tank 20 has a certain upper limit, it is necessary to adjust the corresponding reasonable cooling ratio with the cold station cluster 10, on the one hand, so that the cold storage tank 20 can provide auxiliary cooling effect as fully as possible, and on the other hand, it is used to reduce the cooling load of the cold station cluster 10 during the high-load period of the day, so as to extend its service life and reduce maintenance costs.

[0099] A6, during the high-load period of cooling at the cooling end during the day, supply cooling to the cooling end through the cooling station cluster 10 and the cooling storage tank 20 according to the station supply and storage ratio;

[0100] The ratio of the cooling power of the cold station cluster 10 and the cold storage pool 20 for supplying cooling to the cold end is adjusted according to the station supply-storage ratio, so as to reasonably utilize the cold station cluster 10 and the cold storage pool 20 to supply cooling to the cold end.

[0101] Through the above steps, the integrated cold station control method can realize the segmented management of refrigeration efficiency through the intelligent cooling strategy. The system reasonably allocates the cooling capacity of the cold station cluster during the low-load period of cooling, one part of which is directly used for cooling, and the other part is used for cold storage in the cold storage pool; in the high-load period of cooling, the cooling capacity of the cold station cluster and the cold storage pool is comprehensively utilized to achieve peak shaving and valley filling. This dynamic adjustment method not only improves the energy utilization efficiency of the entire system and reduces the operating cost, but also can better meet the user's cooling needs at different times, making the cooling process more stable and reliable, and can also reduce the operating load of the cold station cluster during the high-load period of cooling, thereby increasing the service life of the equipment and reducing maintenance costs.

[0102] Furthermore, the integrated refrigeration plant control method comprises the following steps for obtaining refrigeration demand data:

[0103] A101, determining corresponding data collection moments within a preset data collection period at a preset sampling interval;

[0104] The sampling interval is the preset time interval for data sampling, which can be set according to the needs. For example, if 5 minutes is set as the data sampling interval, data collection will be performed every 5 minutes;

[0105] The data collection cycle is a pre-set data collection cycle duration, which is used to determine a complete data cycle. For example, 7 days can be set as a data collection cycle to better reflect the data characteristics;

[0106] The data collection time is the corresponding time information determined by the data collection cycle according to the sampling interval.

[0107] A102, at the data collection time, collecting the cold end water inlet temperature, cold end water outlet temperature and cold end water circulation flow rate corresponding to the cold end;

[0108] The cold end water inlet temperature is the temperature of the cooling water entering the cold end, that is, the temperature of the circulating cooling water before cooling the cold end;

[0109] The cold end water outlet temperature is the temperature value of the cooling water leaving the cold end, that is, the temperature value of the circulating cooling water after cooling the cold end;

[0110] The cold end water circulation flow rate is the comprehensive flow rate of the cooling circulating water flowing through the cold end per unit time, including the flow rate of the circulating cooling water flowing from the cold station cluster 10 and the cold storage tank 20 to the cold end.

[0111] A103, calculating the corresponding circulation temperature difference according to the difference between the cold end water inlet temperature and the cold end water outlet temperature corresponding to each data collection moment;

[0112] The circulation temperature difference is the difference between the water inlet temperature and the water outlet temperature at the cold end. The temperature difference between the cooling circulating water entering the cold end and leaving the cold end, combined with the flow rate, can quantitatively reflect how much heat the cooling circulating water takes away from the cold end.

[0113] A104, calculating the corresponding cold end heat rejection power according to the product of the circulation temperature difference corresponding to each data collection moment, the cold end water circulation flow rate and the preset specific heat capacity of the circulation water;

[0114] The specific heat capacity of circulating water is the specific heat capacity of cooling circulating water. For ordinary pure water, it is usually 4.2kJ / KG.℃;

[0115] The cold end heat rejection power is the power of the cold end rejecting heat to the cooling circulating water;

[0116] Based on the circulation temperature difference, the circulation flow rate of the cold end water and the specific heat capacity of the circulating water, the heat value taken away from the cold end by the circulating cooling water per unit time can be calculated, which can be regarded as the heat removal power of the cold end, thereby reflecting the refrigeration effect of the cooling circulating water.

[0117] A105, generating cooling demand data according to the cooling end heat rejection power combination corresponding to each data collection moment.

[0118] By sequentially combining the cold end heat rejection powers corresponding to each data collection moment, the cold end heat rejection power data based on the moment can be obtained, which can be indirectly used as data reflecting the cooling demand of the cold end.

[0119] Through the above steps, the integrated cold station control method can calculate the actual heat rejection power of the cold end by collecting the inlet and outlet water temperatures and circulation flow of the cold end, thereby forming complete cooling demand data, which not only ensures the accuracy of the data, but also reflects the dynamic change characteristics of the cooling demand, provides reliable data support for the subsequent cooling strategy formulation, and helps to achieve more accurate cooling control.

[0120] Furthermore, the integrated cooling station control method includes the following steps for determining a high-load cooling period and a low-load cooling period during the day:

[0121] A106, determining the daily data of each cooling demand according to the cooling demand data;

[0122] The cooling demand intraday data is cooling demand data within one day. For example, if the data collection period of cooling demand data is 7 days, 7 sets of cooling demand intraday data can be obtained.

[0123] A107, according to the intraday collection time corresponding to the data collection time, obtain the corresponding cold end heat rejection power from the intraday data of each cooling demand day and calculate the average heat rejection power at the corresponding time;

[0124] The intraday collection time is the time information of the data collection time minus the date part. For example, the intraday collection time corresponding to 14:00 on January 2 and 14:00 on January 3 is both 14:00.

[0125] The average heat removal power at each moment is the average value of the cold end heat removal power corresponding to the collection time within the day;

[0126] According to the data collected during the day on each cooling demand day, multiple corresponding cooling end heat rejection powers can be obtained. For example, for cooling demand data with a data collection period of 7 days, the cooling end heat rejection powers corresponding to the 7 daily collection times can be obtained. The average of these 7 cooling end heat rejection powers can be obtained to obtain the average heat rejection power at that moment.

[0127] A108, generating typical day cooling demand data according to the heat rejection power average values ​​corresponding to the collection times within each day;

[0128] The average heat rejection power corresponding to all the daily collection times is combined based on the time sorting to obtain the typical daily cooling demand data, which is used to comprehensively reflect the cooling demand situation during the day.

[0129] A109, in the typical day cooling demand data, determine the daily collection time corresponding to the maximum value and define it as the peak time, and determine the daily collection time corresponding to the minimum value and define it as the valley time;

[0130] The peak time is the intraday collection time corresponding to the maximum value of the cooling demand data in a typical day;

[0131] The trough time is the daily collection time corresponding to the minimum value of the cooling demand data in a typical day.

[0132] A110, determines the corresponding intraday high-load cooling period according to the peak time and the preset high-load window size;

[0133] The high-load time window size is the length of the pre-set time window, which can be set according to demand or experience;

[0134] The high-load period for cooling during the day is determined according to the peak time and the size of the high-load time window. For example, if the peak time is 20:00 and the high-load time window size is 3 hours, then the corresponding high-load period for cooling during the day is the 3-hour period between 18:30 and 21:30.

[0135] A111, determine the corresponding intraday low-load cooling period according to the off-peak time and the preset low-load time window size.

[0136] The low-load time window size is the length of the pre-set time window, which can be set according to demand or experience;

[0137] The intraday low-load period for cooling is determined based on the valley time and the size of the low-load window.

[0138] Through the above steps, the integrated cold station control method can statistically analyze the historical cooling data, calculate the cooling demand data for a typical day, and divide the high-load and low-load periods based on the maximum and minimum heat rejection power times. It not only takes into account the cooling characteristics of the cooling end, but also ensures the rationality of the division through the preset time window size, providing a reliable time benchmark for achieving staggered cooling and optimizing energy utilization, and helping the system to achieve more reasonable cooling scheduling.

[0139] Further, step A2 includes the following steps:

[0140] A201, collecting the current cold end water inlet temperature, the current cold end water outlet temperature and the current cold end water circulation flow rate corresponding to the cold end;

[0141] The current cold end water inlet temperature is the temperature value of the cooling water entering the cold end at the current moment;

[0142] The current cold end water outlet temperature is the temperature value of the cooling water leaving the cold end at the current moment.

[0143] The current cold end water circulation flow rate is the comprehensive flow rate per unit time of the cooling circulation water flowing through the cold end at the current moment.

[0144] A202, calculate the corresponding current circulation temperature difference according to the difference between the current cold end water inlet temperature and the current cold end water outlet temperature;

[0145] The current circulation temperature difference is the difference between the current cold end water inlet temperature and the current cold end water outlet temperature.

[0146] A203, calculate the corresponding current cold end heat rejection power according to the product of the current circulation temperature difference, the current cold end water circulation flow rate and the specific heat capacity of the circulating water;

[0147] The current cold end heat rejection power is the power of the cold end rejecting heat to the cooling circulating water at the current moment.

[0148] A204, combining the current cold end water inlet temperature, the current cold end water outlet temperature, the current cold end water circulation flow rate and the current cold end heat rejection power to generate the current cold end data;

[0149] The current cooling data is a combination of the current cold end water inlet temperature, the current cold end water outlet temperature, the current cold end water circulation flow rate and the current cold end heat rejection power, reflecting the current cooling situation of the cold end.

[0150] A205, collecting the current cold storage tank temperature and the current total amount of cold storage liquid of the cold storage tank;

[0151] The current cold storage tank temperature is the current temperature value of the chilled water in the cold storage tank 20;

[0152] The current total amount of cold storage liquid is the total mass of the chilled water in the cold storage tank 20 .

[0153] A206, calculating the current available temperature difference of the cold storage tank according to the difference between the current cold storage tank temperature and the current cold end outlet water temperature;

[0154] The current available temperature difference of the cold storage tank is the estimated temperature difference at which the chilled water in the cold storage tank 20 can be used by the cold end for refrigeration.

[0155] A207, calculate the corresponding current potential heat rejection of the cold storage tank according to the product of the current available temperature difference of the cold storage tank and the specific heat capacity of the circulating water;

[0156] The current potential heat rejection of the cold storage tank is the estimated potential heat rejection of the chilled water in the cold storage tank 20 that can be used for the cold end heat rejection.

[0157] A208, combining the current temperature of the cold storage tank, the current total amount of cold storage liquid and the current potential heat rejection of the cold storage tank to generate current cold storage data;

[0158] The current cold storage data is a combination of the current cold storage pool temperature, the current total amount of cold storage liquid, and the current potential heat rejection of the cold storage pool.

[0159] Through the above steps, the integrated cold station control method can calculate the real-time heat rejection power by collecting the current temperature and flow parameters of the cold end, and simultaneously monitor the temperature and cold storage capacity of the cold storage pool, and calculate the potential heat rejection capacity of the cold storage pool through temperature difference analysis, thereby ensuring that the system can accurately grasp the real-time status of cold demand and cold storage conditions, providing complete data support for formulating accurate cooling strategies, and helping the system to achieve more accurate and efficient cooling regulation.

[0160] Further, step A3 includes the following steps:

[0161] A301 calculates the corresponding current cluster surplus cooling power based on the difference between the cluster standard cooling power and the current cold end heat rejection power in the current cooling data;

[0162] The current cluster surplus cooling power is the remaining cooling power value after deducting the current cold end heat rejection power in the current cooling data from the cluster standard cooling power, reflecting the remaining cooling power of the cooling cluster 10 when the cluster standard cooling power is running.

[0163] A302, calculating a corresponding target cold storage capacity difference value based on a preset cold storage heat rejection target value and a current cold storage tank potential heat rejection value in the current cold storage data;

[0164] The target value of cold storage and heat removal is a preset reference value, which is used to determine whether the cold storage tank 20 has met the cold storage requirement;

[0165] The target cold storage capacity difference is the difference between the target cold storage heat rejection value and the current cold storage pool potential heat rejection in the current cold storage data, reflecting the cold storage capacity that needs to be performed to achieve the target cold storage heat rejection value.

[0166] A303, obtaining the current time, and determining the corresponding low-load remaining time according to the current time and the low-load period of cooling in the day;

[0167] The remaining low-load time is the time between the current time and the end time of the low-load cooling period during the day.

[0168] A304, calculating the corresponding target cooling power according to the quotient of the target cooling capacity difference and the low load remaining time;

[0169] The target cold storage power is the cold storage power required for the cold storage tank 20 to reach the target value of cold storage and heat rejection at the end of the low-load period of cold use during the day.

[0170] A305: If the target cold storage power is not greater than the current surplus cooling power of the cluster, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the target cold storage power.

[0171] When the current surplus cooling power of the cluster is sufficient to reach the target value of the cold storage and heat rejection of the cold storage pool 20, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the target cold storage power, so that part of the idle cooling power in the cluster standard cooling power can allow part of the independent integrated cold stations 11 to be shut down or cooled at low load, thereby reducing energy consumption and equipment loss.

[0172] A306: If the target cold storage power is greater than the current cluster surplus cooling power, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the current cluster surplus cooling power;

[0173] When the current surplus cooling power of the cluster is insufficient to reach the target value of the cold storage and heat discharge of the cold storage tank 20 , priority is given to providing cold to the cold end, and the cold storage capacity of the cold storage tank 20 is appropriately reduced.

[0174] Through the above steps, the integrated cold station control method can calculate the surplus cooling power of the cold station cluster in real time, and determine the target cold storage power in combination with the cold storage target and the remaining time, and then adjust the distribution ratio of cold supply and cold storage according to the actual situation. It not only ensures that the system can maximize the use of surplus cooling capacity for cold storage while meeting the current cooling demand, but also avoids excessive system cooling load through reasonable priority judgment, thereby achieving a balance between cold supply and cold storage.

[0175] Further, step A5 includes the following steps:

[0176] A501, obtain the current time, and determine the corresponding high-load remaining time according to the current time and the high-load period of cooling in the day;

[0177] The remaining high-load time is the time between the current time and the end time of the high-load cooling period during the day.

[0178] A502, according to the cooling demand data at the current time in a typical day, determine the corresponding average heat rejection power at the corresponding time and define it as the current estimated cooling power demand;

[0179] The currently estimated required cooling power is the average heat rejection power corresponding to the cooling demand data in a typical day at the current moment, reflecting the cooling power that may be required by the cooling end at the current moment.

[0180] A503, calculating the corresponding current potential cooling power of the cold storage pool according to the quotient of the current potential heat rejection of the cold storage pool and the remaining high load time in the current cold storage data;

[0181] The current potential cold storage tank refrigeration power is the potential maximum refrigeration power that the cold storage tank 20 can currently provide.

[0182] A504 calculates the corresponding estimated cooling power deficit based on the difference between the current estimated required cooling power and the cluster standard cooling power;

[0183] The estimated deficit cooling power is the estimated deficit cooling power of the cooling cluster 10 when operating at the cluster standard cooling power to supply cooling to the cold end.

[0184] A505, if the estimated cooling power deficit is not greater than the current potential cooling power of the cold storage pool, the corresponding station supply-storage ratio is calculated based on the ratio of the cluster standard cooling power and the estimated cooling power deficit;

[0185] When the current potential cold storage pool refrigeration power of the cold storage pool 20 can meet the estimated shortfall refrigeration power, the cold storage pool 20 assists in refrigeration to make up for all the estimated shortfall refrigeration power.

[0186] A506, if the estimated cooling power deficit is greater than the current potential cooling power of the cold storage pool, the corresponding cooling power deficit of the cold storage pool is calculated based on the difference between the estimated cooling power deficit and the current potential cooling power of the cold storage pool;

[0187] The cooling gap of the cold storage pool is the remaining cooling gap after the auxiliary cooling of the cold storage pool 20 makes up for the estimated cooling power gap.

[0188] A507 calculates the corresponding cluster target cooling power according to the sum of the cooling gap of the cold storage pool and the standard cooling power of the cluster;

[0189] The cluster target cooling power is the cooling power that the cooling cluster 10 needs to operate in order to make up for the cooling gap of the cold storage pool.

[0190] A508, operating the cooling cluster 10 according to the cluster target cooling power, and calculating the corresponding station supply-storage ratio according to the ratio of the cluster target cooling power and the current potential cold storage pool cooling power;

[0191] When the current potential cold storage pool refrigeration power of the cold storage pool 20 cannot completely make up for the estimated shortfall in refrigeration power, the refrigeration power of the refrigeration cluster 10 is increased to meet the refrigeration demand of the cold end.

[0192] Through the above steps, the integrated cold station control method can estimate the cooling demand based on historical data, and dynamically calculate the optimal cooling ratio of the cold station cluster and the cold storage pool in combination with the current state and remaining cooling capacity of the cold storage pool. It can not only respond to possible cooling gaps in advance, but also flexibly adjust the cold station operating parameters according to actual conditions, thereby ensuring the efficient operation of the system while ensuring the cooling demand.

[0193] refer to Figure 1 and Figure 2 The present invention also provides an integrated cold station control system, which provides chilled water for the precision air conditioners of the data center and the ambient air conditioners of other facilities so that they can be maintained at an appropriate temperature. The integrated cold station control system includes:

[0194] Cold station cluster 10;

[0195] Cold storage pool 20;

[0196] Detection and adjustment module 30;

[0197] Control module 40;

[0198] The cold station cluster 10 is connected to the cold storage tank 20 and a preset cold end in a cooling manner, the cold storage tank 20 is connected to the cold end in a cooling manner, the detection and adjustment module 30 is respectively arranged in the cold station cluster 10 and the cold storage tank 20, and the control module 40 is data-connected to the cold station cluster 10, the cold storage tank 20 and the detection and adjustment module 30;

[0199] The cold station cluster 10 is mainly used to form a cluster for refrigeration by combining multiple cold stations to adapt to large-scale cold-using ends, such as large data centers and other facilities.

[0200] The cold storage tank 20 is mainly used to accumulate cooling capacity and to provide a certain amount of cooling assistance when the cooling demand is in a high-load state. For example, a certain amount of low-temperature chilled water can be stored in an insulated container to achieve cold storage, and when the cooling demand is in a low-load state, the chilled water in the cold storage tank 20 can be cooled and stored through some idle cold stations in the cold station cluster 10.

[0201] The detection and adjustment module 30 is mainly used to collect relevant refrigeration data of the cold station cluster 10 and the cold storage tank 20, such as the temperature, flow rate, flow rate and other data of the refrigeration circulating water, and to adjust and control the cold station cluster 10 and the cold storage tank 20 according to the control signal of the control module 40.

[0202] The control module 40 is mainly used to send corresponding control signals to the cold station cluster 10 and the cold storage pool 20 according to the refrigeration data collected by the detection and adjustment module 30 to achieve regulation and control of the cold station cluster 10 and the cold storage pool 20.

[0203] The cold end is a facility with refrigeration demand connected to the integrated cold station control system.

[0204] By interconnecting the cold end, the cold station cluster 10 and the cold storage tank 20, when the cooling demand at the cold end is low, the cold station cluster 10 can supply cold to the cold end and store cold in the cold storage tank 20 at the same time. When the cooling demand at the cold end is high, the cold station cluster 10 and the cold storage tank 20 can supply cold to the cold end at the same time, thereby reducing the workload of the cold station cluster 10 and extending its service life.

[0205] Furthermore, the cold station cluster 10 includes a plurality of independent integrated cold stations 11, a plurality of connection switching modules 12, a cold storage circulating water passage 13 and a cold supply circulating water passage 14, one end of each of the connection switching modules 12 is respectively connected to each of the independent integrated cold stations 11, and the other end can be selectively connected to the cold storage circulating water passage 13 and the cold supply circulating water passage 14;

[0206] Among them, the detection and adjustment module 30 includes multiple temperature detection modules 31, multiple flow detection modules 32 and multiple flow adjustment modules 33, each of the temperature detection modules 31, each flow detection module 32 and each flow adjustment module 33 is respectively arranged in each of the independent integrated cold stations 11, the cold storage circulating water passage 13 and the cold supply circulating water passage 14, and each of the temperature detection modules 31, each flow detection module 32 and each flow adjustment module 33 is respectively communicatively connected to the control module 40.

[0207] Each of the independent integrated cold stations 11 is mainly used for independent refrigeration, and the chilled water generated by refrigeration is transported to the cold storage tank 20 through the cold storage circulating water passage 13 or to the cold end through the cold supply circulating water passage 14 according to demand.

[0208] Each of the connection switching modules 12 is mainly used to switch the connection between each of the independent integrated cooling stations 11 and the cold storage circulating water passage 13 and the cold supply circulating water passage 14 , so that cooling can be selectively provided from each of the independent integrated cooling stations 11 .

[0209] The cold storage circulating water passage 13 is mainly used to form a circulation passage for chilled water between the cold station cluster 10 and the cold storage tank 20 , so as to allow the cold station cluster 10 to store cold in the cold storage tank 20 .

[0210] The cooling circulating water passage 14 is mainly used to form a circulation passage for chilled water between the cooling station cluster 10 and the cold end, so as to provide cooling to the cold end from the cooling station cluster 10 .

[0211] Furthermore, the cold storage tank 20 and the cold end are also connected via a corresponding circulating water passage, forming a path for the cold storage tank 20 to supply cold to the cold end.

[0212] Each of the temperature detection modules 31 is mainly used to detect the temperature value of the circulating chilled water at various locations for data analysis and cooling control.

[0213] Each of the flow detection modules 32 is mainly used to detect the flow value of the circulating chilled water at each location, and is used to estimate the refrigeration power in combination with the temperature value, so as to adjust the refrigeration power based on the data.

[0214] Each flow regulating module 33 is mainly used to adjust the flow of chilled water in each of the independent integrated cold stations 11, the cold storage circulating water passage 13 and the cold supply circulating water passage 14, and then adjust the cooling power by adjusting the flow. Usually, the chilled water transported outward will be set at a stable temperature, such as 15 degrees Celsius. By adjusting the circulation speed of the chilled water, its cooling efficiency can be adjusted.

[0215] Wherein, the integrated cold station control system further includes a cooling strategy, including the following steps:

[0216] B1, obtaining the cooling demand data of the cooling end through the detection and adjustment module 30 and determining the corresponding daily cooling high load period and daily cooling low load period;

[0217] B2, collecting the current cold usage data of the cold end and the current cold storage data of the cold storage tank 20 through the detection and adjustment module 30;

[0218] B3, determining the cooling supply and storage ratio corresponding to the low cooling load period during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data by the control module 40 during the low cooling load period during the day;

[0219] B4, during the low-load period of the cold end during the day, supplying cold to the cold end through the cold station cluster 10 and storing cold in the cold storage pool 20 according to the cold supply and cold storage ratio;

[0220] B5, determining the station supply-storage ratio corresponding to the high-load period of daily cooling by the control module 40 according to the cluster standard cooling power, current cooling data and current cooling storage data during the high-load period of daily cooling, wherein the station supply-storage ratio is the ratio of the cooling power of the cooling station cluster 10 and the cooling storage pool 20 respectively supplying cooling to the cooling end;

[0221] B6, during the high-load period of cooling at the cooling end during the day, cooling is supplied to the cooling end through the cooling station cluster 10 and the cold storage tank 20 according to the station supply-storage ratio.

[0222] Through the above technical scheme, the integrated cold station control system can realize segmented management of refrigeration efficiency through intelligent cooling supply strategy. The system reasonably allocates the cooling capacity of the cold station cluster during the period of low cooling load, with one part directly supplying cooling and the other part used for cold storage pool; during the period of high cooling load, the cooling capacity of the cold station cluster and the cold storage pool is comprehensively utilized to realize peak shaving and valley filling. This dynamic adjustment method not only improves the energy utilization efficiency of the entire system and reduces the operating cost, but also can better meet the user's cooling needs at different times, making the cooling process more stable and reliable, and can also reduce the operating load of the cold station cluster during the period of high cooling load, thereby increasing the service life of the equipment and reducing maintenance costs.

[0223] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. An integrated cold station control method, characterized in that: The following steps are involved: A1, obtaining the preset cooling demand data of the cooling end and determining the corresponding daily high cooling load period and daily low cooling load period; A2, collecting current cold usage data of the cold end and current cold storage data of a preset cold storage tank; A3, during the period of low cooling load during the day, determine the cooling supply and storage ratio corresponding to the period of low cooling load during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data; A4, during the low-load period of the day at the cold end, supplying cold to the cold end and storing cold in the cold storage pool through a preset cold station cluster according to the cold supply and cold storage ratio; A5, determining the station supply-storage ratio corresponding to the high-load period of daily cooling according to the standard cooling power of the cluster, the current cooling data and the current cooling storage data, wherein the station supply-storage ratio is the ratio of the cooling power of the cooling station cluster and the cooling storage pool respectively supplying cooling to the cooling end; A6, during the high-load period of cooling at the cooling end during the day, cooling is supplied to the cooling end through the cooling station cluster and the cooling storage tank according to the station supply and storage ratio; Wherein, step A3 comprises the following steps: A301 calculates the corresponding current cluster surplus cooling power based on the difference between the cluster standard cooling power and the current cold end heat rejection power in the current cooling data; A302, calculating a corresponding target cold storage capacity difference value based on a preset cold storage heat rejection target value and a current cold storage tank potential heat rejection value in the current cold storage data; A303, obtaining the current time, and determining the corresponding low-load remaining time according to the current time and the low-load period of cooling in the day; A304, calculating the corresponding target cooling power according to the quotient of the target cooling capacity difference and the low load remaining time; A305: If the target cold storage power is not greater than the current surplus cooling power of the cluster, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the target cold storage power. A306: If the target cold storage power is greater than the current cluster surplus cooling power, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the current cluster surplus cooling power; Wherein, step A5 comprises the following steps: A501, obtain the current time, and determine the corresponding high-load remaining time according to the current time and the high-load period of cooling in the day; A502, according to the cooling demand data at the current time in a typical day, determine the corresponding average heat rejection power at the corresponding time and define it as the current estimated cooling power demand; A503, calculating the corresponding current potential cooling power of the cold storage pool according to the quotient of the current potential heat rejection of the cold storage pool and the remaining high load time in the current cold storage data; A504 calculates the corresponding estimated cooling power deficit based on the difference between the current estimated required cooling power and the cluster standard cooling power; A505, if the estimated cooling power deficit is not greater than the current potential cooling power of the cold storage pool, the corresponding station supply-storage ratio is calculated based on the ratio of the cluster standard cooling power and the estimated cooling power deficit; A506, if the estimated cooling power deficit is greater than the current potential cooling power of the cold storage pool, the corresponding cooling power deficit of the cold storage pool is calculated based on the difference between the estimated cooling power deficit and the current potential cooling power of the cold storage pool; A507 calculates the corresponding cluster target cooling power according to the sum of the cooling gap of the cold storage pool and the standard cooling power of the cluster; A508 operates the cooling cluster according to the cluster target cooling power, and calculates the corresponding station supply-storage ratio according to the ratio of the cluster target cooling power and the current potential cold storage pool cooling power.

2. The integrated cold station control method according to claim 1, characterized in that: The following steps are included to obtain cooling demand data: A101, determining corresponding data collection moments within a preset data collection period at a preset sampling interval; A102, at the data collection time, collecting the cold end water inlet temperature, cold end water outlet temperature and cold end water circulation flow rate corresponding to the cold end; A103, calculating the corresponding circulation temperature difference according to the difference between the cold end water inlet temperature and the cold end water outlet temperature corresponding to each data collection moment; A104, calculating the corresponding cold end heat rejection power according to the product of the circulation temperature difference corresponding to each data collection moment, the cold end water circulation flow rate and the preset specific heat capacity of the circulation water; A105, generating cooling demand data according to the cooling end heat rejection power combination corresponding to each data collection moment.

3. The integrated cold station control method according to claim 2, characterized in that: The following steps are included to determine the high-load period of cooling during the day and the low-load period of cooling during the day: A106, determining the daily data of each cooling demand according to the cooling demand data; A107, according to the intraday collection time corresponding to the data collection time, obtain the corresponding cold end heat rejection power from the intraday data of each cooling demand day and calculate the average heat rejection power at the corresponding time; A108, generating typical day cooling demand data according to the heat rejection power average values ​​corresponding to the collection times within each day; A109, in the typical day cooling demand data, determine the daily collection time corresponding to the maximum value and define it as the peak time, and determine the daily collection time corresponding to the minimum value and define it as the valley time; A110, determines the corresponding intraday high-load cooling period according to the peak time and the preset high-load window size; A111, determine the corresponding intraday low-load cooling period according to the off-peak time and the preset low-load time window size.

4. The integrated cold station control method according to claim 3, characterized in that: Step A2 includes the following steps: A201, collecting the current cold end water inlet temperature, the current cold end water outlet temperature and the current cold end water circulation flow rate corresponding to the cold end; A202, calculate the corresponding current circulation temperature difference according to the difference between the current cold end water inlet temperature and the current cold end water outlet temperature; A203, calculate the corresponding current cold end heat rejection power according to the product of the current circulation temperature difference, the current cold end water circulation flow rate and the specific heat capacity of the circulating water; A204, combining the current cold end water inlet temperature, the current cold end water outlet temperature, the current cold end water circulation flow rate and the current cold end heat rejection power to generate the current cold end data; A205, collecting the current cold storage tank temperature and the current total amount of cold storage liquid of the cold storage tank; A206, calculating the current available temperature difference of the cold storage tank according to the difference between the current cold storage tank temperature and the current cold end outlet water temperature; A207, calculate the corresponding current potential heat rejection of the cold storage tank according to the product of the current available temperature difference of the cold storage tank and the specific heat capacity of the circulating water; A208, combining the current cold storage tank temperature, the current total amount of cold storage liquid and the current potential heat rejection of the cold storage tank to generate current cold storage data.

5. Integrated cold station control system, characterized in that: include: Cold station cluster; Cold storage pool; Detection and adjustment module; Control module; The cold station cluster can be connected to the cold storage tank and a preset cold end for cooling, the cold storage tank can be connected to the cold end for cooling, the detection and adjustment modules are respectively arranged in the cold station cluster and the cold storage tank, and the control module is data-connected to the cold station cluster, the cold storage tank and the detection and adjustment module; The cold station cluster includes a plurality of independent integrated cold stations, a plurality of connection switching modules, a cold storage circulating water passage and a cold supply circulating water passage, one end of each of the connection switching modules is respectively connected to each of the independent integrated cold stations, and the other end can be selectively connected to the cold storage circulating water passage and the cold supply circulating water passage; Wherein, the detection and adjustment module includes a plurality of temperature detection modules, a plurality of flow detection modules and a plurality of flow adjustment modules, each of the temperature detection modules, each of the flow detection modules and each of the flow adjustment modules are respectively arranged in each of the independent integrated cold stations, the cold storage circulating water passage and the cold supply circulating water passage, and each of the temperature detection modules, each of the flow detection modules and each of the flow adjustment modules are respectively communicatively connected to the control module; Wherein, the integrated cold station control system further includes a cooling strategy, including the following steps: B1, obtaining the cooling demand data of the cooling end through the detection and adjustment module and determining the corresponding daily high cooling load period and daily low cooling load period; B2, collecting the current cold usage data of the cold end and the current cold storage data of the cold storage tank through the detection and adjustment module; B3, determining the cooling supply and storage ratio corresponding to the low cooling load period during the day according to the preset cluster standard cooling power, current cooling data and current cooling storage data by the control module during the low cooling load period during the day; B4, during the period of low cooling load at the cooling end during the day, supplying cooling to the cooling end through the cooling station cluster and storing cooling in the cooling storage pool according to the cooling supply and cooling storage ratio; B5, determining the station supply-storage ratio corresponding to the high-load period of daily cooling by the control module according to the cluster standard cooling power, current cooling data and current cooling storage data during the high-load period of daily cooling, wherein the station supply-storage ratio is the ratio of the cooling power of the cooling station cluster and the cooling storage pool respectively supplying cooling to the cooling end; B6, during the high-load period of cooling at the cooling end during the day, supply cooling to the cooling end through the cooling station cluster and the cooling storage pool according to the station supply and storage ratio; Wherein, step B3 comprises the following steps: B301, calculate the corresponding current cluster surplus cooling power according to the difference between the cluster standard cooling power and the current cold end heat rejection power in the current cooling data; B302, calculating the corresponding target cold storage capacity difference value according to the difference between the preset cold storage heat rejection target value and the current cold storage tank potential heat rejection value in the current cold storage data; B303, obtaining the current time, and determining the corresponding low-load remaining time according to the current time and the low-load period of cooling in the day; B304, calculating the corresponding target cooling power according to the quotient of the target cooling capacity difference and the low load remaining time; B305: If the target cold storage power is not greater than the current surplus cooling power of the cluster, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the target cold storage power. B306, if the target cold storage power is greater than the current cluster surplus cooling power, the cooling supply and storage ratio is calculated based on the ratio of the current cold end heat rejection power and the current cluster surplus cooling power; Wherein, step B5 comprises the following steps: B501, obtain the current time, and determine the corresponding high load remaining time according to the current time and the high cooling load period during the day; B502, according to the cooling demand data at the current time in a typical day, determine the corresponding average heat rejection power at the corresponding time and define it as the current estimated cooling power demand; B503, calculating the corresponding current potential cooling power of the cold storage pool according to the quotient of the current potential heat rejection of the cold storage pool and the remaining high load time in the current cold storage data; B504, calculating the corresponding estimated cooling power deficit based on the difference between the current estimated required cooling power and the cluster standard cooling power; B505, if the estimated gap cooling power is not greater than the current potential cold storage pool cooling power, the corresponding station supply-storage ratio is calculated based on the ratio of the cluster standard cooling power and the estimated gap cooling power; B506, if the estimated cooling power deficit is greater than the current potential cooling power of the cold storage pool, the corresponding cooling power deficit of the cold storage pool is calculated based on the difference between the estimated cooling power deficit and the current potential cooling power of the cold storage pool; B507, calculates the corresponding cluster target cooling power according to the sum of the cooling gap of the cold storage pool and the cluster standard cooling power; B508, operates the cooling cluster according to the cluster target cooling power, and calculates the corresponding station supply-storage ratio according to the ratio of the cluster target cooling power and the current potential cold storage pool cooling power.

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