An air conditioning system supply and demand double-sided cooperative optimization scheduling method and device

Abstract

The application relates to an air conditioning system supply-demand two-side cooperative optimization scheduling method and device, and the method specifically comprises the following steps: real-time monitoring, real-time acquisition of partition environment data, cold quantity demand and cold source running state; demand prediction, combination of historical data to predict cold quantity demand fluctuation in a future set time period, determination of expected cold quantity demand of each partition in the future set time period; cold quantity gap identification, when expected cold quantity demand of any partition is greater than standard cold supply of the partition, demand scheduling cold quantity is calculated, and an associated partition of the partition is selected to prepare for cold quantity scheduling; supply-demand cooperative cold quantity scheduling, calculation of schedulable cold quantity of each associated partition, determination of effective scheduling cold quantity according to loss of cold supply of the associated partition to a target partition; accurate matching and efficient scheduling of air conditioning system supply and demand on two sides are realized, cold quantity gap is identified in advance through real-time monitoring of environment data and cold quantity demand, and a cold source of an associated partition is timely mobilized for supplement.

Description

TECHNICAL FIELD

[0001] The present application relates to a supply and demand bilateral collaborative scheduling method of an air conditioning system, in particular to an optimization scheduling method and device of supply and demand bilateral collaboration of an air conditioning system applied to the field of air conditioning systems. BACKGROUND

[0002] The existing air conditioning system supply and demand scheduling method aims to balance energy efficient use and user comfort. On the demand side, by adjusting the user air conditioning use time, temperature setting and other ways, peak load is reduced. For example, encourage users to increase air conditioning use frequency during low price period, and appropriately increase temperature setting value during peak period. On the supply side, according to real-time weather data, user load prediction and other information, the air conditioning unit operation strategy is optimized to accurately control the cooling or heating output. For example, intelligently adjust the compressor speed, fan volume and other parameters to improve energy utilization efficiency. Supply and demand collaboration, with the help of advanced communication and control technology, realizes information interaction and real-time response, and finally achieves reasonable allocation of power resources, reduces energy consumption, and at the same time guarantees the user's comfort experience of air conditioning.

[0003] Chinese invention CN120292668A discloses an air conditioning supply and demand collaborative optimization scheduling method, relating to the technical field of air conditioning supply and demand scheduling, including a perception prediction module, a collection comparison module, a deviation correction driving module, a control adjustment module, a cold source control module, a strategy adjustment module and an abnormality detection module. When the abnormality detection module detects air conditioning terminal failure, the invention avoids strategy conflict and equipment fluctuation by gradually increasing cold supply.

[0004] Chinese invention CN114322262B discloses a multi-system air conditioning scheduling method, device and air conditioner. The invention obtains the starting priority of the multi-system air conditioner by referring to the cumulative running time and historical failure times of each different air conditioning system and the possibility of system failure, and according to the priority, the different air conditioning systems are started in time sequence, which improves the service life of the multi-system air conditioning unit under the premise of stable and continuous start and operation of the unit.

[0005] Most existing scheduling methods rely on static parameters or single-sided optimization, which is not easy to quickly respond to environmental data fluctuations and changes in subarea cold demand, which can easily lead to supply and demand imbalance, and the efficiency of multi-source collaborative scheduling is low. SUMMARY

[0006] In view of the above prior art, the technical problem to be solved by the present application is that the existing scheduling method relies on static parameters or single-sided optimization, which is not easy to quickly respond to environmental data fluctuations and changes in subarea cold demand, which can easily lead to supply and demand imbalance, and the efficiency of multi-source collaborative scheduling is low.

[0007] To solve the above problems, the application provides an air conditioning system supply and demand double-sided cooperative optimization scheduling method, which specifically comprises the following steps:

[0008] A1, real-time monitoring, real-time acquisition of partition environment data, cold demand and cold source running state;

[0009] A2, demand prediction, combining historical data to predict the cold demand fluctuation of the future set time period, and determining the expected cold demand of each partition in the future set time period;

[0010] A3, cold gap identification, when the expected cold demand of any partition is greater than the standard cooling capacity of the partition, the demand scheduling cold capacity is calculated, and the associated partition of the partition is selected to prepare for cold capacity scheduling;

[0011] A4, supply and demand cooperative cold capacity scheduling, calculating the schedulable cold capacity of each associated partition, determining the effective scheduling cold capacity according to the loss of the associated partition to the target partition; then, the effective scheduling cold capacity of each associated partition is sequentially added in order from low to high according to the priority level of the associated partition until the demand scheduling cold capacity is met, and the cooling source of the associated partition of the above added effective scheduling cold capacity is set as the coordinated cooling source;

[0012] A5, dynamic execution, controlling the cooling source of the target demand partition to supply cooling according to the standard cooling capacity, the coordinated cooling source to supply cooling cooperatively to the target demand partition, and the air flow output by the multiple coordinated cooling sources and the cooling source of the target partition to merge at the scheduling device at the input end of the target partition and then output.

[0013] As a further supplement to the present application, an optimization scheduling system for the scheduling method is also included, which comprises a supply side, a demand side and a scheduling end, the supply side is provided with multiple cooling sources, the demand side is provided with multiple partitions, and the scheduling end comprises:

[0014] A data acquisition module for acquiring monitoring data, the monitoring data comprising real-time environment data of each partition, partition cold demand and device running data of the supply side;

[0015] A partition management module for managing the priority level of each partition and the partition association;

[0016] A scheduling module for processing monitoring data to analyze the expected cold capacity demand of each partition and develop a supply and demand cooling source cooperative scheduling strategy;

[0017] The scheduling module is provided with a data processing unit and a scheduling management unit;

[0018] The data processing unit is used for processing monitoring data to analyze the expected cold capacity demand of each partition, when the demand cold capacity of any partition exceeds the set standard cooling capacity, the demand scheduling cold capacity of the partition, the schedulable cold capacity of the associated partition, and the effective scheduling cold capacity of the associated partition of the partition are calculated.

[0019] The scheduling management unit determines the coordinated cold source and the scheduled cold quantity of the coordinated cold source according to the priority based on the effective scheduled cold quantity of each associated partition;

[0020] The control module is configured to control the cooling source and the regulation device to work in cooperation with the scheduling module.

[0021] The data storage module is configured to record working logs and historical data, and the data storage module stores the standard cooling quantity and the minimum cooling quantity corresponding to each partition.

[0022] As a further supplement to the present application, the demand scheduling cold quantity is determined by the difference between the expected cooling demand of the current partition and the standard cooling quantity of the cooling source thereof; the effective scheduling cold quantity is determined by the schedulable cold quantity and the scheduling loss rate; and the schedulable cold quantity of the associated partition is determined by the difference between the standard cooling quantity of the cooling source of the associated partition itself and the expected cooling demand of the partition itself.

[0023] As a further supplement to the present application, when the total schedulable cold quantity of the associated partition at the same level of the target partition is lower than the demand cooling quantity, the schedulable cold quantity of the low-level partition associated with the target partition is selected, and the schedulable cold quantity of the low-level partition is determined by the minimum set cooling quantity and the standard cooling quantity.

[0024] As a further supplement to the present application, the scheduling loss rate is calculated based on the distance, temperature difference and pipeline resistance between the coordinated cold source and the demand partition, and the input end and the output end of the shunt regulation pipe are both provided with temperature sensors and airflow sensors.

[0025] As a further supplement to the present application, when the cooling source is associated with multiple partitions, the cooling source cannot be used as the coordinated cold source of other partitions after being set as the coordinated cold source.

[0026] As a further supplement to the present application, a scheduling device applied to an optimized scheduling method for supply-demand bilateral coordination of an air conditioning system includes shunt regulation pipes arranged in each partition on the demand side, and the input end and the output end of the shunt regulation pipe are both provided with temperature sensors and airflow sensors; the shunt regulation pipe is used for mixing the airflow output by multiple coordinated cold sources and the cooling source of the target partition and then outputting the mixed airflow, and the shunt regulation pipe includes a mixed noise reduction pipe and an air outlet window, the mixed noise reduction pipe includes a sealed cylinder, the input end of the sealed cylinder is connected with multiple air supply pipes, the air supply pipe includes an air pipe provided with a three-way electromagnetic valve, and the side output end of the three-way electromagnetic valve is connected with an air inlet muffler pipe located in the mixed noise reduction pipe.

[0027] The mixed noise reduction pipe is provided with a main output pipe for outputting the mixed airflow, and the output end of the main output pipe is connected with the air outlet window.

[0028] As a further supplement of the present application, the auxiliary air pipe for connecting with the associated partition hybrid noise reduction pipe is connected to the middle part of the input end of the hybrid noise reduction pipe, and the electrically controlled three-way valve is installed on the main output pipe and used for connecting with the auxiliary air pipe on the associated partition hybrid noise reduction pipe.

[0029] In summary, the present application realizes accurate matching and efficient scheduling of the supply and demand sides of the air conditioning system; through real-time monitoring of environmental data and cold demand, combined with historical data for prediction, the cold gap can be identified in advance, and the cold source of the associated partition can be mobilized in time for supplementation, which is easy to improve the scheduling response speed of the air conditioning system, easy to avoid waste of cold during scheduling, and realizes reasonable use of energy. BRIEF DESCRIPTION OF DRAWINGS

[0030] Figure 1 The method flowchart of the first embodiment of the present application;

[0031] Figure 2 The schematic block diagram of the scheduling end of the first embodiment of the present application connected with a partition;

[0032] Figure 3 The specific example cold scheduling schematic diagram of the first embodiment of the present application;

[0033] Figure 4 The specific example cold scheduling schematic diagram of the second embodiment of the present application;

[0034] Figure 5 The three-dimensional view of the scheduling device of the third embodiment of the present application;

[0035] Figure 6 The partial cross-sectional view of the scheduling device of the third embodiment of the present application;

[0036] Figure 7 The schematic diagram of the connection of multiple scheduling devices of the third embodiment of the present application through auxiliary air pipes.

[0037] Explanation of reference numerals in the drawings:

[0038] 1, hybrid noise reduction pipe; 2, air outlet window; 3, air supply pipe; 31, air pipe; 32, air inlet muffler pipe; 4, main output pipe; 5, auxiliary air pipe. DETAILED DESCRIPTION

[0039] The three embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0040] First embodiment:

[0041] Figure 1 An optimal scheduling method for supply and demand sides of an air conditioning system is shown, which specifically includes the following steps:

[0042] A1, real-time monitoring, real-time acquisition of partition environment data, cold demand and cold source running state;

[0043] A2, demand prediction, combining historical data to predict future set time period cold demand fluctuation, determining the expected cold demand of each partition in the future set time period, such as the expected cold demand in the next 30 minutes, using suitable models in the prior art to predict cold demand fluctuation and calculate expected cold demand by those skilled in the art, for example, using an equivalent energy storage aggregation model;

[0044] A3, cold gap identification, when the expected cold demand of any partition is greater than the standard cold supply of the partition , calculate the demand scheduling cold , and select the associated partition of the partition to prepare for cold scheduling; the demand scheduling cold is determined by the difference between the expected cold demand of the current partition and the standard cold supply of its cold source; specifically, the demand scheduling cold is determined by the following formula: ;

[0045] Wherein, α is the redundancy coefficient (default setting is 5%), which is used to cope with the risk of insufficient cold caused by demand fluctuation or scheduling loss rate;

[0046] A4, supply and demand collaborative cold scheduling, calculating the schedulable cold of each associated partition , determining the effective scheduling cold according to the loss of the associated partition to the target partition;

[0047] The effective scheduling cold is determined by the schedulable cold and the scheduling loss rate , and the specific formula is: ;

[0048] Wherein is the scheduling loss rate of the self partition to the target demand partition; the scheduling loss rate is calculated based on the distance, temperature difference and pipeline resistance between the coordinating cold source and the demand partition, and is calculated by those skilled in the art according to the actual scene and data;

[0049] Then, the effective scheduling cold of each associated partition is added in order from low to high according to the priority level of the associated partition until the demand scheduling cold is met (low-level adjacent partitions are called first, and the same-level partitions are called when the cold is insufficient), that is ;

[0050] The cold supply of the above-mentioned associated partition of the effective scheduling cold is set as the coordinating cold source;

[0051] A5, dynamically executing, the cooling source of the target demand partition adjusts the cooling supply according to the standard cooling supply, and the air flow of the coordinated cooling source and the cooling source of the target partition is mixed and output at the scheduling device of the target partition.

[0052] Figure 2 An optimization scheduling system for a scheduling method is shown, which includes a supply side, a demand side and a scheduling end. The supply side is provided with multiple cooling sources, the demand side is provided with multiple partitions, and a shunt control pipe is installed at each partition. The shunt control pipe is used for mixing and outputting the air flow of the coordinated cooling source and the cooling source of the target partition. The scheduling end includes:

[0053] A data acquisition module is used to acquire monitoring data, including real-time environmental data of each partition, partition cooling demand and equipment operation data of the supply side. The data acquisition is performed by a sensor suitable for the prior art installed by a person skilled in the art at each partition and the supply side, such as a temperature and humidity sensor.

[0054] A partition management module is used to manage the priority classification of each partition and the association between partitions. The priority classification of each partition and the association between partitions are pre-set by a person skilled in the art.

[0055] A scheduling module is used to process the monitoring data to analyze the expected cooling demand of each partition and develop a coordinated scheduling strategy of the supply and demand cooling sources. The coordinated scheduling strategy includes selecting a specified cooling source as a coordinated cooling source and determining the scheduling cooling amount of the coordinated cooling source.

[0056] A data processing unit and a scheduling management unit are provided in the scheduling module.

[0057] The data processing unit is used to process the monitoring data to analyze the expected cooling demand of each partition. When the demand cooling amount of any partition exceeds the set standard cooling amount, the demand scheduling cooling amount of the partition, the schedulable cooling amount of the associated partition and the effective scheduling cooling amount of the associated partition of the partition are calculated.

[0058] The scheduling management unit determines the coordinated cooling source and the scheduling cooling amount of the coordinated cooling source based on the effective scheduling cooling amount of each associated partition according to the priority.

[0059] After the coordinated cooling source is determined, the cooling amount is allocated based on the priority classification and scheduling loss rate of the corresponding partition of the coordinated cooling source. The selection sequence is as follows: the cooling source of the adjacent associated partition of the low classification, the cooling source of the low classification partition, the cooling source of the adjacent partition of the same priority, and the cooling source of the partition of the same priority.

[0060] The specific allocation strategy of the scheduled cold quantity is for example: according to the A4 step, the effective scheduled cold quantity of the cooling source is selected in turn and accumulated until the cooling source with the scheduled cold quantity exceeding the demand scheduled cold quantity, and the scheduled cold quantity of the cooling source with the last accumulated effective scheduled cold quantity is the difference between the accumulated effective scheduled cold quantity before accumulation and the demand scheduled cold quantity; and the cooling source selected before the last accumulated effective scheduled cold quantity uses all the schedulable cold quantity;

[0061] When the cooling source is associated with multiple partitions, the cooling source cannot be used as a coordination cooling source for other partitions after being set as a coordination cooling source; and the scheduled cooling source is marked as "occupied state" to avoid repeated calling of multiple partitions;

[0062] The control module is configured to control the cooling source and the regulation device to work in cooperation with the scheduling module.

[0063] The data storage module is configured to record working logs and historical data, and the data storage module stores the standard cooling capacity and the minimum cooling capacity data corresponding to each partition; the standard cooling capacity is a reference value of the rated cooling capacity of the cooling source to the corresponding partition; and the scheduling loss rate of the partition to the associated partition scheduling cold quantity The preset value is stored in the data storage module and is called.

[0064] Figure 3 The specific example of the cold quantity scheduling of each partition is as follows:

[0065] The air conditioning system is provided with four main partitions P1-P4, and the priority is P4>P3>P2>P1; each main partition is provided with multiple sub-partitions with the same priority, such as P21, P22, P31, and P32; the associated partitions of P31 include the low-priority P21 and the same-priority P32.

[0066] The cold quantity demand of P31 partition increases sharply (P31 is a medium-level partition, and the expected demand cold quantity of P31 partition is 120kW, and the standard cooling capacity is 95kW), and the demand scheduled cold quantity of P31 partition is 25kW.

[0067] The associated partition is called:

[0068] The expected demand cold quantity of the associated low-level partition P21 is 80kW, and the standard cooling capacity is 100kW; the schedulable cold quantity of P2 partition is 20kW, the loss rate of P21 to P31 partition is 5%, the effective scheduled cold quantity of the associated partition P21 is 19kW, and P21 is selected as a coordination cooling source to deliver 19kW of cold quantity to P31 partition.

[0069] In order to avoid unexpected situations such as demand fluctuation, the output of the cold quantity is increased when the coordination cooling source is actually selected to schedule the cold quantity, and the output of the cold quantity is set by the person skilled in the art to ensure that the scheduled cold quantity is sufficient.

[0070] Then the associated sibling partition P32 (the loss rate of P32 conveying cold to P31 partition is 4%) is selected, the expected demand cold of P32 partition is 80kW, the standard cold supply is 100kW, the schedulable cold of P32 partition is 20kW, the loss rate of P32 conveying to P31 partition is 4%, the P32 partition schedules 10kW of cold to P31 partition, and the effective schedulable cold of P32 partition is 9.6kW;

[0071] The total effective schedulable cold is 28.6kW>25kW, which meets the demand of P31 partition, and the output cold of P31 cold source is adjusted to 100kW.

[0072] The embodiment realizes dynamic and accurate matching and efficient cooperation of cold supply and demand through real-time monitoring, demand prediction, loss rate calculation and priority scheduling mechanism, and realizes accurate matching and efficient scheduling of air conditioning system supply and demand. By monitoring environmental data and cold demand in real time, combined with historical data for prediction, the cold gap can be identified in advance, and the associated partition cold source can be mobilized in time for supplement, which is easy to improve the scheduling response speed of the air conditioning system, easy to avoid cold waste during scheduling, and realizes the rational use of energy.

[0073] The optimization scheduling method of the scheme also considers the scheduling loss rate, ensuring the accuracy of the scheduled cold. By dynamically executing the scheduling strategy, the output of the cold source of the target demand partition is controlled and adjusted, realizing the air flow confluence and output of multiple coordinated cold sources and the output of the cold source of the target partition, and easily realizing the intelligent management and efficient operation of the air conditioning system.

[0074] The second embodiment:

[0075] Among them, the same or corresponding parts as in the first embodiment use corresponding reference numerals in the first embodiment, and for the sake of simplicity, only the difference points with the first embodiment are described below. The second embodiment differs from the first embodiment in that:

[0076] When the total schedulable cold of the sibling associated partition of the target partition is lower than the demand cold, the schedulable cold of the low-level partition associated with the target partition is selected, and the schedulable cold of the low-level partition is determined by the minimum set cold and the standard cold;

[0077] Figure 4 A specific example is shown: the P21 partition cold source is disabled due to failure, and the P21 partition demand cold is 50kW (minimum cold supply); the data processing unit calculates that the schedulable cold of the sibling associated partitions P22 and P23 is 15kW and 20kW respectively, and the schedulable cold of the low-priority associated partition P11 is 30kW;

[0078] Then the maximum scheduled cooling capacity of the scheduling P11 (low priority associated partition) is 30kW (standard cooling capacity 80kW - minimum cooling capacity 50kW = 30kW), and the loss rate of the P11 partition delivered to the P21 partition is 5%, so the effective scheduled cooling capacity of P11 is 28.5kW.

[0079] At this time, P22 or P23 partition is selected to supplement the remaining cooling capacity demand, the schedulable cooling capacity of the scheduling P22 partition is 15kW, the loss rate of the P22 partition delivered to the P21 partition is 3%, and the effective scheduled cooling capacity of P22 is 14.55kW;

[0080] The schedulable cooling capacity of the scheduling P23 partition is 10kW, the loss rate of the P23 partition delivered to the P21 partition is 4%, and the effective scheduled cooling capacity of P23 is 9.6kW;

[0081] Then the total effective scheduled cooling capacity of P11, P22 and P23 to P21 partition is 52.65kW > 50kW, which meets the demand of P21 partition.

[0082] The third embodiment:

[0083] Figures 5-6 It is shown that a scheduling device applied to an optimal scheduling method of air conditioning system supply-demand bilateral coordination includes a shunt control pipe arranged in each partition of the demand side, and temperature sensors and airflow sensors are arranged at the input end and the output end of the shunt control pipe; the shunt control pipe is used for mixing and outputting the airflow output by the coordinated cold source and the target partition cold source, and the shunt control pipe includes a mixed noise reduction pipe 1 and an air outlet window 2; the mixed noise reduction pipe 1 includes a sealed cylinder, and a plurality of air supply pipes 3 are connected to the input end of the sealed cylinder; the air supply pipe includes an air pipe 31 provided with a three-way electromagnetic valve, and the side output end of the three-way electromagnetic valve is connected to an air inlet muffler pipe 32 located in the mixed noise reduction pipe 1.

[0084] A main output pipe 4 for outputting the mixed airflow is arranged in the mixed noise reduction pipe 1, and the output end of the main output pipe 4 is connected to the air outlet window 2; a plurality of uniformly distributed air holes are arranged on the main output pipe 4 and the air inlet muffler pipe 32, the air holes on the air inlet muffler pipe 32 are used for dispersing the input airflow, and the air holes on the main output pipe 4 are used for guiding the mixed airflow to the air outlet window 2.

[0085] Figures 6-7 The middle part of the input end of the mixed noise reduction pipe 1 is connected to an auxiliary air pipe 5 used for connecting the associated partition mixed noise reduction pipe 1, one end of the auxiliary air pipe 5 inserted into the mixed noise reduction pipe 1 is provided with a plurality of dispersion holes used for dispersing the airflow, and an electrically controlled three-way valve is arranged on the main output pipe 4 and used for connecting the auxiliary air pipe 5 of the associated partition mixed noise reduction pipe 1; one output end of the electrically controlled three-way valve is connected to the air outlet window 2, and the other output end is connected to the auxiliary air pipe 5 of another associated partition mixed noise reduction pipe 1.

[0086] The shunt control pipe of the associated partition is connected through the auxiliary air pipe 5, so that the airflow uniformly output by the shunt control pipe can be called again to the adjacent associated partition; the cold quantity of the non-associated partition can be dispatched to the demand partition.

[0087] The shunt control pipe of the embodiment can realize noise reduction when the airflow of multiple cold sources is mixed, and through the control of the three-way electromagnetic valve, the airflow of each air supply pipe can be accurately adjusted to meet the demand of the cold source airflow of different partitions; through the main output pipe and the air inlet muffler pipe which are provided with air holes to disperse airflow, the efficiency of airflow mixing and the noise reduction effect are easily improved; it is easy to ensure that the mixed airflow can be uniformly and stably output to each demand side partition, and the collaborative optimization scheduling of the supply and demand sides of the air conditioning system is easily assisted.

[0088] In combination with the current actual demand, the above-mentioned embodiments adopted by the present application are not limited to this, various changes made within the knowledge range of those skilled in the art without departing from the concept of the present application still fall within the protection scope of the present application.

Claims

1. An optimal scheduling method for supply-demand bilateral coordination of an air conditioning system, characterized in that: Specifically comprising the following steps: A1, real-time monitoring, real-time acquisition of partition environment data, cold demand and cold source running state; A2, demand prediction, combining historical data to predict future set time period cold demand fluctuation, determine the expected cold demand of each partition in the future set time period; A3, cold gap identification, when the expected cold demand of any partition is greater than the standard cold supply of the partition, calculate the demand scheduling cold and select the associated partition to prepare for cold scheduling; the demand scheduling cold is determined by the difference between the expected cold demand of the current partition and the standard cold supply of its cold supply source; A4, supply and demand collaborative cold scheduling, calculate the schedulable cold of each associated partition, determine the effective scheduling cold according to the loss of the associated partition to the target partition; then add the effective scheduling cold of each associated partition in order from low to high according to the priority of the associated partition until the demand scheduling cold is met, and the cold supply source of the above-mentioned associated partition is set as the coordinated cold source; the scheduling loss rate is calculated based on the distance, temperature difference and pipeline resistance between the coordinated cold source and the demand partition; the effective scheduling cold is determined by the schedulable cold and the scheduling loss rate; the schedulable cold of the associated partition is determined by the difference between the standard cold supply of the associated partition's cold supply source and the expected demand cold of the partition itself; A5, dynamic execution, control the cold supply source of the target demand partition to supply cold according to the standard cold supply, the coordinated cold source collaborates with the target demand partition, and the air flow output by the cold supply source of the target partition and the coordinated cold source is combined at the scheduling device at the input end of the target partition and then output; after determining the coordinated cold source, the cold is allocated based on the priority classification of the corresponding partition of the coordinated cold source and the scheduling loss rate.

2. The method of claim 1, wherein: Also includes an optimized scheduling system for the scheduling method, the system includes a supply side, a demand side and a scheduling end, the supply side is provided with a plurality of cold supply sources, the demand side is provided with a plurality of partitions, and the scheduling end includes: A data acquisition module for acquiring monitoring data, including real-time environmental data of each partition, partition cold demand and equipment operation data of the supply side; A partition management module for managing the priority classification of each partition and the partition association; A scheduling module for processing monitoring data to analyze the expected cold demand of each partition and develop a supply and demand cold source collaborative scheduling strategy; The scheduling module is provided with a data processing unit and a scheduling management unit; The data processing unit is used to process monitoring data to analyze the expected cold demand of each partition, and when the demand cold of any partition exceeds the set standard cold supply, the demand scheduling cold of the partition, the schedulable cold of the associated partition, and the effective scheduling cold of the associated partition of the partition are calculated; The scheduling management unit determines the coordinated cold source and the scheduling cold of the coordinated cold source based on the effective scheduling cold of each associated partition according to the priority; A control module for controlling the cold supply source and the control device to work with the scheduling module; A data storage module for recording work logs and historical data, the data storage module stores the standard cold supply and the minimum cold supply data corresponding to each partition.

3. The method of claim 2, wherein: When the total adjustable cooling capacity of the peer associated partition of the target partition is lower than the required cooling capacity, the adjustable cooling capacity of the low-level partition cooling capacity associated with the target partition is selected to be determined by the minimum set cooling capacity and the standard cooling capacity.

4. The method of claim 2, wherein: When the cooling source is associated with multiple partitions, it cannot be used as a coordinating cooling source for other partitions after being set as a coordinating cooling source.

5. A scheduling device for use in the method of any one of claims 1 to 4, characterized by: The shunt control pipe is provided on each partition of the demand side, and temperature sensors and airflow sensors are installed on the input end and the output end of the shunt control pipe; the shunt control pipe is used for mixing and outputting the airflow output by multiple coordinating cooling sources and target partition cooling sources, and the shunt control pipe comprises a mixing noise reduction pipe (1) and an air outlet window (2); the mixing noise reduction pipe (1) comprises a sealed cylinder, a plurality of air supply pipes (3) are connected to the input end of the sealed cylinder, the air supply pipes (3) comprise air pipes (31) provided with three-way electromagnetic valves, and the side output ends of the three-way electromagnetic valves are connected to air inlet muffler pipes (32) located in the mixing noise reduction pipe (1). A main output pipe (4) for outputting the mixed airflow is installed in the mixing noise reduction pipe (1), and the output end of the main output pipe (4) is connected to the air outlet window (2).

6. The scheduling apparatus of claim 5, wherein: An auxiliary air pipe (5) for connecting the mixing noise reduction pipe (1) of the associated partition is connected to the middle part of the input end of the mixing noise reduction pipe (1), and an electrically controlled three-way valve is installed on the main output pipe (4) and used for connecting the auxiliary air pipe (5) on the mixing noise reduction pipe (1) of the associated partition.

Images