A heat pump energy-saving management method and system for a heating station system

Abstract

The embodiments of the present application disclose a heat pump energy-saving management method and system for a heating station system. The technical solutions provided by the embodiments of the present application configure the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and combine the load balance adjustment to configure the operation mode of the heat pump units, ensuring that the heat pump units maintain load balance and efficient operation during operation, avoiding the imbalance between heating supply and demand in each area, realizing the flexible scheduling of the heating station system, thereby improving the overall energy efficiency and reducing energy consumption.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of heating systems, and in particular, to a heat pump energy-saving management method and system for a heating station system. Background Art

[0002] Currently, in a heating station system, the inlets and outlets of multiple heat pump units are usually connected to the water supply and return pipelines of the system respectively to form a parallel heating network. Each heat pump unit operates independently and can be set in different areas according to actual heating demands to achieve independent heating of different areas.

[0003] However, simply using a parallel network for independent heating of each area makes it difficult to better coordinate the load and energy efficiency management of each area. In areas with large heating demands, there is an easy situation of insufficient heating. In areas with small heating demands, there may be a situation of excessive heating, and it is difficult to achieve a better energy efficiency management effect. Summary of the Invention

[0004] The embodiments of the present application provide a heat pump energy-saving management method and system for a heating station system, which can ensure the load balance and efficient operation of heat pump units during operation by combining load balance adjustment to configure the operation modes of heat pump units, and avoid the imbalance between heating supply and demand in each area, realizing the flexible scheduling of the heating station system, thereby improving the overall energy efficiency and reducing energy consumption.

[0005] In a first aspect, the embodiments of the present application provide a heat pump energy-saving management method for a heating station system, including:

[0006] Obtain the target temperature, target humidity, and occupancy rate information of each heating area during a target time period, input the target temperature, target humidity, and occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target time period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heat supply, and the heating demand prediction model is trained based on the training samples;

[0007] Determine the first rated heat output of the heat pump unit corresponding to each heating area during the target time period, configure the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump unit corresponding to each heating area, and generate the second rated heat output of the heat pump unit corresponding to each heating area during the target time period based on the load balance adjustment parameters and the first rated heat output;

[0008] Configure each heat pump unit into a parallel operation mode or a series-parallel operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area, so as to control each heat pump unit to operate during the target period based on the parallel operation mode or the series-parallel operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the affiliated heating area and operate in parallel with other heat pump units, and the series-parallel operation mode is used to control the corresponding heat pump unit to give priority to operating in the parallel operation mode. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit.

[0009] Further, configuring the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area includes:

[0010] Calculate the average heating load according to the total historical heating load of the heat pump units corresponding to each heating area;

[0011] Determine the load deviation according to the average heating load and the total historical heating load of the corresponding heat pump unit, and calculate the load balancing adjustment parameters of each heat pump unit according to the load deviation.

[0012] Further, generating the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameters and the first rated heating capacity includes:

[0013] Determine the initial rated heating capacity based on the product of the load balancing adjustment parameters and the first rated heating capacity;

[0014] When the difference between the initial rated heating capacity and the first rated heating capacity is less than the set threshold, use the initial rated heating capacity as the second rated heating capacity of the corresponding heat pump unit during the target period;

[0015] When the difference between the initial rated heating capacity and the first rated heating capacity exceeds the set threshold, calculate the second rated heating capacity of the corresponding heat pump unit during the target period based on the first rated heating capacity and the set threshold.

[0016] Further, configuring each heat pump unit into a parallel operation mode or a series-parallel operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area includes:

[0017] When it is determined from each heat pump unit that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by the set heat difference, configure the first unit in a hybrid operation mode and configure the second unit as the designated heat pump unit of the first unit; otherwise, configure each heat pump unit in a parallel operation mode.

[0018] Further, configuring the first unit in a hybrid operation mode includes:

[0019] When there are multiple first units, determine the actual heat difference between the second rated heating capacity of the first unit and the heating demand of the corresponding heating area;

[0020] Select a target unit from multiple first units according to the actual heat difference and configure it in a hybrid operation mode.

[0021] Further, configuring the first unit in a hybrid operation mode includes:

[0022] When there are multiple first units, determine the distance information between each first unit and the corresponding designated heat pump unit;

[0023] Select the first unit with the shortest distance from multiple first units according to the distance information and configure it in a hybrid operation mode.

[0024] Further, configuring the second unit as the designated heat pump unit of the first unit includes:

[0025] When there are multiple first units and multiple second units, select the corresponding second unit as the designated heat pump unit of the first unit according to a set association relationship, and the association relationship is configured according to the pipeline setting information of the heating system.

[0026] In a second aspect, an embodiment of the present application provides a heat pump energy-saving management system for a heating station system, including:

[0027] A prediction module, configured to obtain the target temperature, target humidity, and occupancy rate information of each heating area during a target period, input the target temperature, target humidity, and occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heat supply, and the heating demand prediction model is trained based on the training samples;

[0028] A configuration module, configured to determine the first rated heating capacity of each heat pump unit corresponding to each heating area during the target period, configure the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of each heat pump unit corresponding to each heating area, and generate the second rated heating capacity of each heat pump unit corresponding to each heating area during the target period based on the load balancing adjustment parameters and the first rated heating capacity;

[0029] A management module, configured to configure each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control the operation of each heat pump unit during the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the specified heat pump unit and switch to the series mode for operation, where the heating demand of the heating area to which the specified heat pump unit belongs is higher than the second rated heating capacity of the specified heat pump unit.

[0030] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0031] A memory and one or more processors;

[0032] The memory is used to store one or more programs;

[0033] When the one or more programs are executed by the one or more processors, the one or more processors implement the heat pump energy-saving management method of the heat supply station system as described in the first aspect.

[0034] In a fourth aspect, an embodiment of the present application provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute the heat pump energy-saving management method of the heat supply station system as described in the first aspect when executed by a computer processor.

[0035] In the embodiment of the present application, by obtaining the target air temperature, target humidity and occupancy information of each heating area in the target period, inputting the target air temperature, target humidity and the occupancy information into a pre-constructed heating demand prediction model, and predicting and outputting the heating demand of each heating area in the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical air temperature, historical humidity, historical occupancy and corresponding historical heat supply, and the heating demand prediction model is trained based on the training samples; determining the first rated heating capacity of the heat pump units corresponding to each heating area in the target period, and configuring the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, generating the second rated heating capacity of the heat pump units corresponding to each heating area in the target period based on the load balance adjustment parameters and the first rated heating capacity; configuring each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area, so as to control the operation of each heat pump unit in the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit. By adopting the above technical means, the load balance adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump units corresponding to each heating area, and the operation mode of the heat pump unit is configured in combination with the load balance adjustment, so as to ensure that the heat pump unit maintains load balance and efficient operation during the operation process, avoid the imbalance between heating supply and demand in each area, realize the flexible scheduling of the heating station system, thereby improving the overall energy efficiency and reducing the energy consumption. Description of the Drawings

[0036] Figure 1 is a flowchart of a heat pump energy-saving management method for a heating station system provided in Embodiment 1 of the present application;

[0037] Figure 2 is a flowchart for calculating the load balance adjustment parameters in Embodiment 1 of the present application;

[0038] Figure 3 is a flowchart for calculating the second rated heating capacity in Embodiment 1 of the present application;

[0039] Figure 4It is a schematic diagram of the switching between the parallel operation mode and the series operation mode in Embodiment 1 of the present application;

[0040] Figure 5 It is a configuration flow chart of the hybrid operation mode in Embodiment 1 of the present application;

[0041] Figure 6 It is another configuration flow chart of the hybrid operation mode in Embodiment 1 of the present application;

[0042] Figure 7 It is a schematic structural diagram of a heat pump energy-saving management system of a heating station system provided in Embodiment 2 of the present application;

[0043] Figure 8 It is a schematic structural diagram of an electronic device provided in Embodiment 3 of the present application. Detailed implementation manners

[0044] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the drawings rather than all the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0045] Embodiment 1:

[0046] Figure 1 A flowchart of a heat pump energy-saving management method for a heating station system provided in Embodiment 1 of the present application is given. The heat pump energy-saving management method for the heating station system provided in this embodiment can be executed by the heat pump energy-saving management device of the heating station system. The heat pump energy-saving management device of the heating station system can be implemented in a software and / or hardware manner. The heat pump energy-saving management device of the heating station system can be composed of two or more physical entities, or can be composed of one physical entity. Generally speaking, the heat pump energy-saving management device of the heating station system can be a control device such as a controller or a server host of the heating station system.

[0047] The following takes the heat pump energy-saving management device of the heating station system as the main body for executing the heat pump energy-saving management method of the heating station system as an example for description. Refer to Figure 1, the heat pump energy-saving management method of the heating station system specifically includes:

[0048] S110. Obtain the target temperature, target humidity, and occupancy rate information of each heating area during the target period, input the target temperature, target humidity, and occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heating supply, and the heating demand prediction model is trained based on the training samples.

[0049] This application aims to achieve flexible scheduling and efficient operation of the heating station system by combining load balancing to adjust the operation mode of the heat pump unit. Among them, in the energy-saving management of the heating station system, it is first necessary to accurately predict the heating demand of each heating area during the target period. The prediction of the heating demand depends on a pre-constructed heating demand prediction model, which can predict the heating supply required by each heating area during this period by inputting the target temperature, target humidity, and occupancy rate information of the target period.

[0050] During the construction process of the heating demand prediction model, it is necessary to collect the temperature, humidity, occupancy rate, and corresponding heating supply data of each heating area in the past period of time. These data constitute the training samples required for training the heating demand prediction model. Considering that the collected data may contain noise or missing values, the data is first pre-processed, including data cleaning, missing value filling, outlier processing, etc., to ensure the accuracy and consistency of the data. Then, the historical temperature, humidity, and occupancy rate are used as the model inputs for model training. It can be understood that temperature, humidity, occupancy rate, etc. are features strongly correlated with the target heating supply, so these features need to be used as the model inputs. Due to the interaction of multiple features, this application selects algorithms that can handle non-linear relationships for model prediction, such as random forest or support vector regression. The trained samples after pre-processing are used to train the model to obtain the predicted heating supply corresponding to the model input. The loss function is calculated through the gap between the predicted heating supply and the actual historical heating supply, and then the model parameters are adjusted, and the prediction error is minimized by adjusting the model parameters. During the training process, techniques such as cross-validation can be used to evaluate the performance of the model and select appropriate model parameters.

[0051] After the model is implemented, before the target period, obtain the target temperature, target humidity, and occupancy rate information of each heating area through means such as weather forecasting and occupancy rate statistics. Input the obtained target temperature, target humidity, and occupancy rate information into the trained heating demand prediction model, and the model calculates the heating demand of each heating area during the target period based on these input information.

[0052] Through the above process, the heating station system can accurately predict the heating demand of each heating area, providing strong support for subsequent energy-saving management and heat pump unit configuration.

[0053] In practical applications, for heating scenarios of heating station systems such as hotels, conferences, large events, etc. may increase additional heating demands. Therefore, after predicting the heating demand of each heating area during the target period, the corresponding additional heating demand can also be configured according to the additional heating demand information of each area, such as conference information, event information, etc. Add this additional heating demand to the predicted heating demand to obtain the final heating demand, so as to improve the calculation accuracy of the heating demand, and further improve the reliability of the overall heating dispatching of the system.

[0054] S120. Determine the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, configure the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameters and the first rated heating capacity.

[0055] Among them, the first rated heating capacity can be the heating capacity provided by the heat pump unit under normal operating conditions. Specifically, the first rated heating capacity can be calculated in combination with the historical operating conditions of the heat pump unit. The first rated heating capacity represents the maximum heating capacity that the heat pump unit can reach based on historical operating conditions. In fact, in order to ensure the load balance of each heat pump unit, the maximum heating capacity of some heat pump units with larger historical loads needs to be adjusted downward adaptively, and the maximum heating capacity of some heat pump units with smaller historical loads can be adjusted upward adaptively by increasing the heat pump power.

[0056] The load balancing adjustment parameters are important tools for adjusting the heating output of the heat pump units. These parameters can be configured based on the total historical heating load of each heat pump unit to ensure that the units can evenly share the load when the heating demand changes, avoiding overloading of some units while other units are idle. By analyzing the total heating load of each heat pump unit over a period of time in the past to determine the load distribution. When determining the load distribution, the performance differences between different heat pump units can be combined, including heating efficiency, response time, etc. According to the determined load distribution, the load differences between each heat pump unit can be determined, and then this difference can be used to set the corresponding load distribution in combination with the actual load balancing requirements.

[0057] Based on the determined first rated heating capacity and load balancing adjustment parameters, the second rated heating capacity can be determined. The second rated heating capacity refers to the maximum heating capacity that each heat pump unit can actually provide during the target period after considering the load balancing adjustment parameters.

[0058] Specifically, referring to Figure 2 , configure the load balancing adjustment parameters for each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, including:

[0059] S1201. Calculate the average heating load based on the total historical heating load of the heat pump units corresponding to each heating area;

[0060] S1202. Determine the load deviation based on the average heating load and the total historical heating load of the corresponding heat pump unit, and calculate the load balancing adjustment parameters for each heat pump unit according to the load deviation.

[0061] Collect the total historical heating load data of the heat pump units corresponding to each heating area through channels such as the operation records of the heat pump units, the monitoring system, or the historical database. According to the sorted data, calculate the average heating load of the heat pump units corresponding to each heating area. This is achieved by adding up the total historical heating loads of all heat pump units and then dividing by the number of heat pump units.

[0062] Furthermore, determine the load deviation based on the average heating load and the total historical heating load of the corresponding heat pump unit. The load deviation refers to the difference between the total historical heating load of the heat pump unit and the average heating load. The load deviation can be obtained by calculating the difference between the total historical heating load and the average heating load of each heat pump unit. By analyzing the load deviation, understand the load distribution of each heat pump unit. If the load deviation of some heat pump units is large, it means that these units may have been frequently overloaded or idle in the past and need load balancing adjustment to reduce their rated heating capacity. Similarly, for heat pump units with a small load, the rated heating capacity can also be increased by increasing the output power.

[0063] Calculate the load balancing adjustment parameters for each heat pump unit according to the above load deviation. These parameters can include adjustment coefficients, power adjustment amounts, operation time adjustment amounts, etc., depending on the implementation method of the load balancing strategy. For example, for heat pump units with a large load deviation, their adjustment coefficients can be appropriately reduced or the power adjustment amount can be increased to reduce their load; while for heat pump units with a small load deviation, their adjustment coefficients can be appropriately increased or the power can be kept unchanged to maintain their load stability.

[0064] Through the above steps, the load balancing adjustment parameters of each heat pump unit can be configured according to the total historical heating load of the heat pump units corresponding to each heating area, so as to achieve the load balancing operation of the heat pump units. This helps to improve the overall energy efficiency of the system, extend the service life of the heat pump units and reduce the operating costs.

[0065] Further, with reference to Figure 3 , the second rated heating capacity of the heat pump units corresponding to each heating area in the target period is generated based on the load balancing adjustment parameters and the first rated heating capacity, including:

[0066] S1203. Determine the initial rated heating capacity based on the product of the load balancing adjustment parameters and the first rated heating capacity;

[0067] S1204. When the difference between the initial rated heating capacity and the first rated heating capacity is less than the set threshold, use the initial rated heating capacity as the second rated heating capacity of the corresponding heat pump unit in the target period; when the difference between the initial rated heating capacity and the first rated heating capacity exceeds the set threshold, calculate the second rated heating capacity of the corresponding heat pump unit in the target period based on the first rated heating capacity and the set threshold.

[0068] By obtaining the first rated heating capacity of the heat pump units corresponding to each heating area and the previously calculated load balancing adjustment parameters. Multiply the first rated heating capacity of each heat pump unit by its corresponding load balancing adjustment parameter to obtain the initial rated heating capacity of the heat pump unit. This initial rated heating capacity reflects the expected heating capacity after considering load balancing. Then calculate the difference between the initial rated heating capacity of each heat pump unit and its first rated heating capacity. Before that, set a reasonable threshold to determine whether the difference between the initial rated heating capacity and the first rated heating capacity is within an acceptable range. This threshold can be set according to the specific requirements of the system, the performance characteristics of the heat pump units and the demand changes of the heating areas. If the difference is less than the set threshold and the influence of the load balancing adjustment parameters is within an acceptable range. At this time, the initial rated heating capacity can be directly used as the second rated heating capacity of the corresponding heat pump unit in the target period.

[0069] If the difference exceeds the set threshold, it means that the difference between the initial rated heating capacity and the first rated heating capacity is relatively large, which may be due to the fact that the load balancing adjustment parameter is set too large, resulting in an inability to make up for the gap in heating capacity by increasing the output power of the heat pump unit. At this time, it is necessary to calculate the adjusted second rated heating capacity based on the first rated heating capacity and the set threshold. The adjustment method can be to use the sum of the first rated heating capacity and the set threshold as the second rated heating capacity.

[0070] According to the above steps, the second rated heating capacity of each heat pump unit corresponding to each heating area in the target period is finally determined. These second rated heating capacities will be used as the operation reference of the heat pump units in the target period to ensure the load balance and heating efficiency of the system. Through the above steps, the second rated heating capacity of each heat pump unit corresponding to each heating area can be generated based on the load balance adjustment parameters and the first rated heating capacity, enabling the heating station system to achieve precise configuration of the heating capacity of each heat pump unit corresponding to each heating area in the target period and load balance adjustment, thereby improving the overall energy efficiency and reliability of the system.

[0071] S130. Configure each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control the operation of each heat pump unit in the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, where the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit.

[0072] Based on the above second rated heating capacity and the heating demand of each corresponding heating area, configure the heat pump units into a parallel operation mode or a hybrid operation mode and control their operation in the target period. Among them, when the second rated heating capacity of a certain heat pump unit can meet the heating demand of its affiliated heating area, the heat pump unit can be configured to operate in the parallel operation mode. On this basis, the additional heating capacity exceeding the heating demand of its affiliated heating area can also be provided to other heat pump units with insufficient heating capacity to meet the heating demand, and through the series operation method, the flexible scheduling of the heating station system can be realized.

[0073] Refer to Figure 4, in the parallel operation mode, directly connect the heating output end of heat pump unit a to the heating equipment c1 in its affiliated heating area. Ensure that heat pump unit a can operate in parallel with other heat pump units b to independently supply the heating demand of the corresponding heating area. When the second rated heating capacity of heat pump unit a can meet the heating demand of its affiliated heating area and there is another heat pump unit b with a heating demand higher than its second rated heating capacity, heat pump unit a can be configured into a hybrid operation mode. In the initial stage of the hybrid operation mode, heat pump unit a operates in the parallel operation mode, that is, its heating output end is connected to the heating equipment c1 in its affiliated heating area. When the heating capacity of heat pump unit a still has a surplus after meeting the demand of its affiliated heating area and the heating demand of the designated heat pump unit b is higher than its second rated heating capacity, control the heating output end of heat pump unit a to be connected to the heating input end of the designated heat pump unit b and switch to the series operation mode. In the series operation mode, heat pump unit a serves as an auxiliary heat source to provide additional heating capacity for the designated heat pump unit b.

[0074] Through the above steps, the heat pump units can be flexibly configured into the parallel operation mode or the hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, and control them to operate efficiently during the target period. By accurately predicting the heating demand, optimizing the configuration and operation mode of the heat pump units, the flexible scheduling of the heating station system is realized. This helps to avoid the imbalance between heating supply and demand in each area, thereby improving the overall energy efficiency; through the configuration of the load balancing adjustment parameters, the heat pump units can maintain load balance during operation, avoiding the situation of some units being overloaded while other units are idle. This helps to reduce energy consumption and improve energy utilization efficiency; the introduction of the hybrid operation mode makes the heating station system more flexible. In the case of a large heating demand, the heating capacity can be supplemented through series operation; in the case of a small heating demand, the energy consumption can be reduced through parallel operation. In addition, by accurately predicting the heating demand and optimizing the configuration of the heat pump units, it can be ensured that the heating demand of each heating area is met, thereby improving the comfort and satisfaction of users.

[0075] Optionally, configuring each heat pump unit into the parallel operation mode or the hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area includes:

[0076] When it is determined from each heat pump unit that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat difference, configure the first unit into the hybrid operation mode and configure the second unit as the designated heat pump unit of the first unit; otherwise, configure each heat pump unit into the parallel operation mode.

[0077] Among them, by screening out the first unit from all heat pump units, the second rated heating capacity of which is higher than the heating demand of the corresponding heating area, and the excess amount reaches the set heat difference (denoted as ΔH1, and ΔH1>0). At the same time, the second unit is screened out, the second rated heating capacity of which is lower than the heating demand of the corresponding heating area, and the shortage amount also reaches the set heat difference (denoted as ΔH2, and ΔH2<0). If the above two conditions are met at the same time, the first unit is configured to operate in a hybrid series-parallel mode and is used as a heat source to provide additional heating capacity for the second unit (which is the designated heat pump unit at this time). If the above conditions are not met, that is, there is no such first unit and second unit, or although they exist but the absolute value of one of ΔH1 and ΔH2 does not reach the set heat difference, all heat pump units are configured to operate in a parallel mode. Through the above steps, the heat pump units can be flexibly configured to operate in a parallel mode or a hybrid series-parallel mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to optimize energy utilization and improve heating efficiency.

[0078] Optionally, referring to Figure 5 , configuring the first unit to operate in a hybrid series-parallel mode includes:

[0079] S1301. When there are multiple first units, determine the actual heat difference between the second rated heating capacity of the first unit and the heating demand of the corresponding heating area;

[0080] S1302. Select a target unit from multiple first units according to the actual heat difference and configure it to operate in a hybrid series-parallel mode.

[0081] When there are multiple first units, it is necessary to collect the second rated heating capacity data of all heat pump units initially determined as "first units" and the heating demand data of their respective corresponding heating areas. For each first unit, calculate the difference between its second rated heating capacity and the heating demand of the corresponding heating area, and this difference is the actual heat difference. The actual heat difference can be a positive value (indicating that the unit's heating capacity is excessive) or a negative value (i.e., the unit that requires additional heating capacity).

[0082] Sort the actual heat differences of all first units. At the same time, screen out those units whose actual heat differences reach or exceed a certain set threshold as potential hybrid series-parallel operation target units. When selecting target units, the unit with the largest actual heat difference can be selected to maximize the utilization of excessive heating capacity. In addition, considering the overall load balance of the system, it is necessary to select those units that can balance the heating load of the system for hybrid series-parallel configuration.

[0083] Through the above steps, the target unit can be flexibly selected according to the actual heat difference between the second rated heating capacities of multiple first units and the heating demand of the corresponding heating areas, and configured into a hybrid operation mode to optimize energy utilization and improve heating efficiency.

[0084] On the other hand, optionally, referring to Figure 6 , configuring the first unit into a hybrid operation mode includes:

[0085] S1303. When there are multiple first units, determine the distance information between each first unit and the corresponding designated heat pump unit;

[0086] S1304. Select the first unit with the shortest distance from multiple first units according to the distance information and configure it into a hybrid operation mode.

[0087] When there are multiple first units, for each first unit (i.e., those units with a second rated heating capacity higher than the heating demand of the corresponding heating area), collect the physical distance information between them and their respective designated heat pump units. When selecting the target unit, adopt the strategy of "the shortest distance". From multiple first units, select the unit with the shortest distance from its corresponding designated heat pump unit as the target unit for hybrid operation. This strategy helps to reduce the loss during the heat energy transmission process and improve the overall energy efficiency of the system.

[0088] Through the above steps, the most suitable unit can be selected from multiple first units according to the distance information and configured into a hybrid operation mode to optimize heat energy transmission and improve heating efficiency. At the same time, this configuration method also helps to reduce system complexity and maintenance costs.

[0089] Optionally, configuring the second unit as the designated heat pump unit of the first unit includes:

[0090] When there are multiple first units and multiple second units, select the corresponding second unit as the designated heat pump unit of the first unit according to the set association relationship, and the association relationship is configured according to the pipeline setting information of the heating system.

[0091] When configuring the second unit as the designated heat pump unit of the first unit, if there are multiple first units and multiple second units, a certain set association relationship needs to be used to determine the pairing between them. This association relationship is configured based on the pipeline setting information of the heating system to ensure the effective transmission of heat energy and the stable operation of the system.

[0092] First, it is necessary to collect in detail the pipeline setting information of the heating system, including pipeline layout, connection points, valve positions, etc. This information is the basis for determining the association relationship. Based on the pipeline setting information, analyze the optimal path for heat energy to be transmitted from the first unit to the second unit. This usually involves evaluating factors such as pipeline length, diameter, material, and possible heat energy losses. According to the analysis results of the heat energy transmission path, set the association rules between the first unit and the second unit. These rules can include priority pairing principles (such as based on the shortest distance, minimum heat energy loss, etc.), standby unit selection strategies, etc. According to the set association rules, establish a pairing table to clarify the designated second unit corresponding to each first unit.

[0093] Through the above steps, the second unit can be effectively configured as the designated heat pump unit of the first unit, ensuring the stable operation and high efficiency of the heating system. At the same time, this configuration method also helps to improve the flexibility and scalability of the system to adapt to possible future changes and requirements.

[0094] As described above, by obtaining the target temperature, target humidity, and occupancy rate information of each heating area during the target period, inputting the target temperature, target humidity, and occupancy rate information into a pre-constructed heating demand prediction model, and predicting and outputting the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heating supply, and the heating demand prediction model is trained based on the training samples; determining the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, and configuring the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, generating the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameters and the first rated heating capacity; configuring each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area, so as to control each heat pump unit to operate during the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, where the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit. By adopting the above technical means, the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump units corresponding to each heating area, and the operation mode of the heat pump unit is configured in combination with the load balancing adjustment, ensuring that the heat pump unit maintains load balance and high efficiency during operation, avoiding the imbalance between heating supply and demand in each area, realizing the flexible scheduling of the heating station system, thereby improving the overall energy efficiency and reducing energy consumption.

[0095] Embodiment 2:

[0096] Based on the above embodiment, Figure 7 FIG. is a schematic structural diagram of a heat pump energy-saving management system for a heating station system provided in Embodiment 2 of the present application. Refer to Figure 7 , the heat pump energy-saving management system for the heating station system provided in this embodiment specifically includes:

[0097] A prediction module 21, configured to obtain the target temperature, target humidity, and occupancy rate information of each heating area during a target period, input the target temperature, target humidity, and occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heating supply, and the heating demand prediction model is trained based on the training samples;

[0098] A configuration module 22, configured to determine the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, configure the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameters and the first rated heating capacity;

[0099] A management module 23, configured to configure each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area, so as to control the operation of each heat pump unit during the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the specified heat pump unit and switch to the series mode for operation, where the heating demand of the heating area to which the specified heat pump unit belongs is higher than the second rated heating capacity of the specified heat pump unit.

[0100] As described above, obtain the target temperature, target humidity, and occupancy rate information of each heating area during the target period, input the target temperature, target humidity, and the occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heating supply, and the heating demand prediction model is trained based on the training samples; determine the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, and configure the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balance adjustment parameters and the first rated heating capacity; configure each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area, so as to control the operation of each heat pump unit during the target period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, where the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit. By adopting the above technical means, configure the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and combine the load balance adjustment to configure the operation mode of the heat pump units, ensuring that the heat pump units maintain load balance and efficient operation during the operation process, and avoiding the situation of heating supply-demand imbalance in each area, realizing the flexible scheduling of the heating station system, thereby improving the overall energy efficiency and reducing energy consumption.

[0101] Specifically, configuring the load balance adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area includes:

[0102] Calculate the average heating load according to the total historical heating load of the heat pump units corresponding to each heating area;

[0103] Determine the load deviation according to the average heating load and the total historical heating load of the corresponding heat pump unit, and calculate the load balance adjustment parameters of each heat pump unit according to the load deviation.

[0104] Specifically, generating the second rated heating capacity of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating capacity includes:

[0105] Determining the initial rated heating capacity based on the product of the load balancing adjustment parameter and the first rated heating capacity;

[0106] When the difference between the initial rated heating capacity and the first rated heating capacity is less than the set threshold, using the initial rated heating capacity as the second rated heating capacity of the corresponding heat pump unit during the target period;

[0107] When the difference between the initial rated heating capacity and the first rated heating capacity exceeds the set threshold, calculating the second rated heating capacity of the corresponding heat pump unit during the target period based on the first rated heating capacity and the set threshold.

[0108] Specifically, configuring each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating area includes:

[0109] When it is determined that the second rated heating capacity of the first unit among each heat pump unit is higher than the heating demand of the corresponding heating area by a set heat gap, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat gap, configuring the first unit into a hybrid operation mode and configuring the second unit as the designated heat pump unit of the first unit; otherwise, configuring each heat pump unit into a parallel operation mode.

[0110] Specifically, configuring the first unit into a hybrid operation mode includes:

[0111] When there are multiple first units, determining the actual heat gap between the second rated heating capacity of the first unit and the heating demand of the corresponding heating area;

[0112] Selecting a target unit from the multiple first units according to the actual heat gap and configuring it into a hybrid operation mode.

[0113] Specifically, configuring the first unit into a hybrid operation mode includes:

[0114] When there are multiple first units, determining the distance information between each first unit and the corresponding designated heat pump unit;

[0115] Selecting the first unit with the shortest distance from the multiple first units according to the distance information and configuring it into a hybrid operation mode.

[0116] Specifically, configuring the second unit as the designated heat pump unit of the first unit includes:

[0117] When both the first unit and the second unit are multiple, select the corresponding second unit as the designated heat pump unit of the first unit according to the set association relationship, and the association relationship is configured according to the heating system pipeline setting information.

[0118] The heat pump energy-saving management system of the heating station system provided in the second embodiment of the present application can be used to execute the heat pump energy-saving management method of the heating station system provided in the first embodiment, and has corresponding functions and beneficial effects.

[0119] Embodiment 3:

[0120] Embodiment 3 of the present application provides an electronic device. Referring to Figure 8 , the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device can be one or more, and the number of memories in the electronic device can be one or more. The processor, memory, communication module, input device, and output device of the electronic device can be connected through a bus or other means.

[0121] As a computer-readable storage medium, the memory can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the heat pump energy-saving management method of the heating station system described in any embodiment of the present application (for example, each module in the heat pump energy-saving management system of the heating station system). The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device. In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory can further include memories remotely set relative to the processor, and these remote memories can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, an enterprise internal network, a local area network, a mobile communication network, and combinations thereof.

[0122] The communication module is used for data transmission.

[0123] The processor executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory, that is, implements the above heat pump energy-saving management method of the heating station system.

[0124] The input device can be used to receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the device. The output device can include a display device such as a display screen.

[0125] The electronic device provided above can be used to execute the heat pump energy-saving management method of the heating station system provided in the first embodiment above, and has corresponding functions and beneficial effects.

[0126] Embodiment 4:

[0127] The embodiment of the present application further provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, they are used to execute a heat pump energy-saving management method of a heating station system. The heat pump energy-saving management method of the heating station system includes: obtaining the target temperature, target humidity, and occupancy rate information of each heating area during a target time period, inputting the target temperature, target humidity, and the occupancy rate information into a pre-constructed heating demand prediction model, and predicting and outputting the heating demand of each heating area during the target time period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate, and corresponding historical heat supply, and training the heating demand prediction model based on the training samples; determining the first rated heat output of the heat pump units corresponding to each heating area during the target time period, and configuring the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generating the second rated heat output of the heat pump units corresponding to each heating area during the target time period based on the load balancing adjustment parameters and the first rated heat output; configuring each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heat output of each heat pump unit and the heating demand of the corresponding heating area, so as to control the operation of each heat pump unit during the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially. When the heat output of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of a designated heat pump unit and switch to the series mode for operation, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heat output of the designated heat pump unit.

[0128] Storage medium - Any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory such as flash memory, magnetic media (such as hard disks or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. Additionally, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system that is connected to the first computer system via a network (such as the Internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions executable by one or more processors (e.g., embodied as a computer program).

[0129] Of course, for a storage medium containing computer-executable instructions provided by an embodiment of the present application, the computer-executable instructions are not limited to the heat pump energy-saving management method of the heating station system as described above, and can also perform related operations in the heat pump energy-saving management method of the heating station system provided by any embodiment of the present application.

[0130] The heat pump energy-saving management system, storage medium, and electronic device provided in the above embodiments can execute the heat pump energy-saving management method of the heating station system provided by any embodiment of the present application. For technical details not described in detail in the above embodiments, reference can be made to the heat pump energy-saving management method of the heating station system provided by any embodiment of the present application.

[0131] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it may include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A heat pump energy-saving management method for a heating station system, characterized in that Including: Obtain the target air temperature, target humidity, and occupancy rate information of each heating area during the target period, input the target air temperature, target humidity, and the occupancy rate information into a pre-constructed heating demand prediction model, and predict and output the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical air temperature, historical humidity, historical occupancy rate, and corresponding historical heat supply, and the heating demand prediction model is trained based on the training samples; Determine the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, calculate the average heating load based on the total historical heating load of the heat pump units corresponding to each heating area, determine the load deviation based on the average heating load and the total historical heating load of the corresponding heat pump units, calculate the load balance adjustment parameter of each heat pump unit based on the load deviation, and determine the initial rated heating capacity based on the product of the load balance adjustment parameter and the first rated heating capacity; when the difference between the initial rated heating capacity and the first rated heating capacity is less than the set threshold, use the initial rated heating capacity as the second rated heating capacity of the corresponding heat pump unit during the target period; When the difference between the initial rated heating capacity and the first rated heating capacity exceeds the set threshold, calculate the second rated heating capacity of the corresponding heat pump unit during the target period based on the first rated heating capacity and the set threshold; Configure each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate during the target period based on the parallel operation mode or the hybrid operation mode; The parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the affiliated heating area and operate in parallel with other heat pump units. The hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode first. When the heating capacity of the corresponding heat pump unit reaches the heating demand of the affiliated heating area, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation. The heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit.

2. The heat pump energy-saving management method for the heating station system according to claim 1, wherein The configuring each heat pump unit into a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area includes: When it is determined that the second rated heating capacity of the first unit among each heat pump unit is higher than the heating demand of the corresponding heating area by a set heat gap, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat gap, configure the first unit into the hybrid operation mode and configure the second unit as the designated heat pump unit of the first unit. Otherwise, configure each heat pump unit into the parallel operation mode.

3. The heat pump energy-saving management method for the heat supply station system according to claim 2, characterized in that Configuring the first unit to operate in a hybrid series-parallel mode includes: When there are multiple first units, determining the actual heat difference between the second rated heating capacity of the first units and the heating demand of the corresponding heating areas; Selecting a target unit from the multiple first units according to the actual heat difference and configuring it to operate in a hybrid series-parallel mode.

4. The heat pump energy-saving management method for the heating station system according to claim 2, characterized in that, Configuring the first unit to operate in a hybrid series-parallel mode includes: When there are multiple first units, determining the distance information between each first unit and the corresponding designated heat pump unit; Selecting the first unit with the shortest distance from the multiple first units according to the distance information and configuring it to operate in a hybrid series-parallel mode.

5. The heat pump energy-saving management method of the heating station system according to claim 2, characterized in that, Configuring the second unit as the designated heat pump unit of the first unit includes: When there are multiple first units and multiple second units, selecting the corresponding second unit as the designated heat pump unit of the first unit according to the set association relationship, and the association relationship is configured according to the pipeline setting information of the heating system.

6. A heat pump energy-saving management system for a heating station system, characterized in that, It includes: A prediction module for obtaining the target temperature, target humidity and occupancy rate information of each heating area during the target period, inputting the target temperature, target humidity and occupancy rate information into a pre-constructed heating demand prediction model, and predicting and outputting the heating demand of each heating area during the target period based on the heating demand prediction model; the heating demand prediction model is pre-constructed with training samples based on historical temperature, historical humidity, historical occupancy rate and corresponding historical heat supply, and the heating demand prediction model is trained based on the training samples; A configuration module for determining the first rated heating capacity of the heat pump units corresponding to each heating area during the target period, calculating the average heating load according to the total historical heating load of the heat pump units corresponding to each heating area, determining the load deviation according to the average heating load and the total historical heating load of the corresponding heat pump units, calculating the load balance adjustment parameter of each heat pump unit according to the load deviation, and determining the initial rated heating capacity based on the product of the load balance adjustment parameter and the first rated heating capacity; when the difference between the initial rated heating capacity and the first rated heating capacity is less than the set threshold, using the initial rated heating capacity as the second rated heating capacity of the corresponding heat pump unit during the target period; When the difference between the initial rated heating capacity and the first rated heating capacity exceeds the set threshold, calculating the second rated heating capacity of the corresponding heat pump unit during the target period based on the first rated heating capacity and the set threshold; A management module for configuring each heat pump unit to operate in a parallel mode or a hybrid series-parallel mode according to the second rated heating capacity of each heat pump unit and the heating demand of the corresponding heating areas, so as to control the operation of each heat pump unit during the target period based on the parallel mode or the hybrid series-parallel mode; The parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to operate in parallel with other heat pump units. The hybrid operation mode is used to control the corresponding heat pump unit to give priority to operating in the parallel operation mode. When the heating capacity of the corresponding heat pump unit reaches the heating demand in the heating area, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit and switch to the series mode for operation, where the heating demand in the heating area of the designated heat pump unit is higher than the second rated heating capacity of the designated heat pump unit.

7. An electronic device, characterized in that, Including: a memory and one or more processors; the memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the heat pump energy-saving management method of the heating station system as described in any one of claims 1-5.

8. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions are used to execute the heat pump energy-saving management method of the heating station system as described in any one of claims 1-5 when executed by a computer processor.

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