Water chilling unit regulation and control method and system based on heat production

Abstract

The embodiment of the invention discloses a water chilling unit regulation and control method and system based on heat production, electronic equipment and a storage medium. According to the technical scheme provided by the embodiment of the invention, by introducing analysis and scheduling of dynamic heat requirements of different areas in a shopping mall on required heat energy temperature grades and time, high-grade recycled heat energy produced by the water chilling unit meets the requirements of the first area; the schedulable adaptive heat energy adaptive to the second area demand is separated and stored, and is preferentially distributed in the second area demand time period, so that accurate matching and active scheduling of the recovered heat energy under different grade demands and different space-time scenes are realized, the overall energy efficiency and the energy utilization rate of the system are improved, and the energy utilization rate of the system is increased. And the operation cost of the shopping mall air-conditioning system is effectively reduced.

Description

Technical Field

[0001] This application relates to the field of air conditioning equipment technology, and in particular to a method and system for controlling a heat-generating chiller unit. Background Technology

[0002] Currently, in the control scenarios of chiller units in the central air conditioning systems of large shopping malls, condensation heat recovery technology is usually used to recover heat energy in order to improve energy utilization efficiency.

[0003] This technology typically involves installing a heat recovery device on the condenser side of the chiller unit to recover waste heat generated during the refrigeration cycle.

[0004] The recovered heat is either transferred to a central hot water storage tank for storage or used directly for relatively fixed purposes, such as providing domestic hot water.

[0005] This process aims to utilize waste heat that would otherwise be discharged into the environment through cooling towers, thereby reducing the overall energy consumption of buildings.

[0006] However, simply using condensation heat recovery technology has significant limitations in addressing the dynamic and diverse heating and cooling needs within buildings.

[0007] In essence, it is a static heat transfer, and there is a lack of active scheduling between the recovered heat source and the specific heat demand of the shopping mall.

[0008] The recovered heat energy may be downgraded or lost due to its inability to be adapted to high-grade demand (referring to heating scenarios that require higher temperature heat energy to meet demand) or it may be insufficient in supply when demand suddenly occurs, causing the system to still rely on additional energy for supplementation, thereby limiting the further improvement of the overall energy efficiency of the system and the optimization of operating costs. Summary of the Invention

[0009] This application provides a method, system, electronic device, and storage medium for regulating a heat-generating chiller unit. It can achieve precise matching and active scheduling of recovered heat energy in shopping malls under different grade requirements and different time and space scenarios, solving the technical problem of insufficient heat energy supply caused by the lack of active scheduling in traditional condensing heat recovery technology.

[0010] In a first aspect, embodiments of this application provide a method for regulating a heat-generating chiller unit, comprising: Obtain heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area. Based on the heat demand information of the first and second regions, the relationship between the temperature grade of the heat energy demanded in the first and second regions and the relationship between the time of demand are determined. According to the relationship between the temperature grade of the heat energy demanded and the time of demand, the coordinated operation scheduling instruction sequence for the chiller and the heat storage device is determined in the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller to produce the recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy. According to the coordinated operation scheduling instruction sequence, the chiller unit is controlled to produce high-grade recovered heat energy in the first time period. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable and adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable and adaptable heat energy is simultaneously transported to the heat storage device for storage. According to the coordinated operation scheduling instruction sequence, in the second time period, the thermal storage device is prioritized to release dispatchable and adaptable thermal energy, which is then distributed to the second area through the thermal energy distribution network. If the dispatchable and adaptable thermal energy does not match the thermal demand information of the second area, the chiller unit is controlled to produce second-grade recovered thermal energy, which is then distributed to the second area through the thermal energy distribution network. The second-grade recovered thermal energy and the dispatchable and adaptable thermal energy are matched with the thermal demand information of the second area.

[0011] Furthermore, the first area is the designated catering area, and the first time period is the period above the preset threshold determined based on the indoor heat load and / or pedestrian density monitoring data of the catering area; the second area is the designated cinema area, and the second time period is the ventilation and warm-up period including the set film end time.

[0012] Furthermore, the primary grade of recovered heat energy is used to distribute to the reheat coil inside the fresh air handling unit in the catering area to reheat the dehumidified air to achieve the set supply air temperature.

[0013] Further, obtaining heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period, includes: Acquire real-time temperature and humidity monitoring data for the first and second regions; Based on real-time temperature and humidity monitoring data and corresponding pre-stored regional load characteristic models, heat demand information is predicted.

[0014] Furthermore, based on the relationship between the temperature grade of the demanded heat energy and the time relationship of the demand, the sequence of coordinated operation scheduling instructions for the chiller unit and the thermal storage device in the first and second time periods is determined, including: Based on the demand-time relationship, the time interval between the first and second time periods is determined. A thermal energy storage instruction is generated based on the time interval and added to the collaborative operation scheduling instruction sequence. The thermal energy storage instruction is used to instruct the thermal storage device to store the schedulable and adaptable thermal energy.

[0015] Furthermore, the recovered heat energy of the first grade is directionally distributed to the first area through a heat energy distribution network, and simultaneously, the dispatchable and adaptable heat energy is transported to a heat storage device for storage, including: The real-time heat demand load of the first region is collected, and the proportion of high-grade recovered heat energy allocated to the first-grade recovered heat energy of the first region is dynamically adjusted based on the real-time heat demand load. The remaining recovered heat energy is used as dispatchable and adaptable heat energy.

[0016] Furthermore, the temperature of the water in the thermal storage device that stores the dispatchable and adaptable thermal energy is between the required thermal energy temperature grade of the first region and the required thermal energy temperature grade of the second region.

[0017] In a second aspect, embodiments of this application provide a chiller unit control system based on heat generation, comprising: The acquisition module is used to acquire heat demand information of at least one designated first area of ​​the target shopping mall in a first time period, and heat demand information of at least one designated second area in a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area. The instruction determination module is used to determine the relationship between the temperature grade of the required heat energy and the time relationship between the first and second regions based on the heat demand information of the first and second regions. Based on the relationship between the temperature grade of the required heat energy and the time relationship, it determines the sequence of coordinated operation scheduling instructions for the chiller and the thermal storage device in the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller to produce the recovered heat energy at the corresponding temperature grade and to control the thermal storage device to store and release the recovered heat energy. The first scheduling module is used to control the chiller unit to produce high-grade recovered heat energy in the first time period according to the coordinated operation scheduling instruction sequence. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable and adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable and adaptable heat energy is simultaneously transported to the heat storage device for storage. The second scheduling module is used to prioritize controlling the thermal storage device to release dispatchable and adaptable thermal energy in the second time period according to the coordinated operation scheduling instruction sequence, and to distribute the dispatchable and adaptable thermal energy to the second area through the thermal energy distribution network; and when the dispatchable and adaptable thermal energy does not match the thermal demand information of the second area, it controls the chiller unit to produce second-grade recovered thermal energy, and distributes the second-grade recovered thermal energy to the second area through the thermal energy distribution network, so that the second-grade recovered thermal energy and the dispatchable and adaptable thermal energy match the thermal demand information of the second area.

[0018] In a third aspect, embodiments of this application provide an electronic device, including: 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-generating chiller control method as described in the first aspect.

[0019] In a fourth aspect, embodiments of this application provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the heat-generating chiller unit control method as described in the first aspect.

[0020] This application embodiment obtains heat demand information for at least one designated first area of ​​a target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period, with the required heat energy temperature grade of the first area being higher than that of the second area. Based on the heat demand information of the first and second areas, the relationship between the required heat energy temperature grade and the demand time relationship between the first and second areas is determined. According to the relationship between the required heat energy temperature grade and the demand time relationship, a coordinated operation scheduling instruction sequence for the chiller unit and the heat storage device is determined for the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller unit to produce recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy. According to the coordinated operation scheduling instructions... In the first time period, the sequence controls the chiller unit to produce high-grade recovered heat energy, which includes first-grade recovered heat energy and dispatchable adaptive heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area, and is then distributed to the first area through the heat energy distribution network. Simultaneously, the dispatchable adaptive heat energy is transported to the heat storage device for storage. In the second time period, according to the coordinated operation scheduling instruction sequence, the sequence prioritizes controlling the heat storage device to release the dispatchable adaptive heat energy, which is then distributed to the second area through the heat energy distribution network. If the dispatchable adaptive heat energy does not match the heat demand information of the second area, the sequence controls the chiller unit to produce second-grade recovered heat energy, which is then distributed to the second area through the heat energy distribution network. The second-grade recovered heat energy and the dispatchable adaptive heat energy are then matched with the heat demand information of the second area.

[0021] By employing the aforementioned technical means, and through the analysis and scheduling of dynamic heat demand in different areas of the shopping mall in terms of temperature grade and time, the high-grade recovered heat energy produced by the chiller unit can meet the demand of the first area while separating and storing the dispatchable heat energy suitable for the demand of the second area. This heat energy is then prioritized for allocation during the demand period of the second area, achieving precise matching and proactive scheduling of recovered heat energy under different grade demands and different time and space scenarios. This improves the overall energy efficiency and energy utilization rate of the system and effectively reduces the operating cost of the shopping mall's air conditioning system. Attached Figure Description

[0022] Figure 1 This is a flowchart of a chiller unit control method based on heat generation, provided in Embodiment 1 of this application; Figure 2 This is a flowchart illustrating the determination of thermal demand information in Embodiment 1 of this application; Figure 3 This is a flowchart of the heat energy recovery distribution process in Embodiment 1 of this application; Figure 4This is a schematic diagram of a heat-generating chiller control system provided in Embodiment 2 of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, the specific embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0024] It is understood that the specific embodiments described herein are merely for explaining this application and are not intended to limit this application.

[0025] It should also be noted that, for ease of description, the accompanying drawings only show the parts relevant to this application, not all of them.

[0026] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted in flowcharts.

[0027] Although flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously.

[0028] Furthermore, the order of operations can be rearranged.

[0029] The process can be terminated when its operation is complete, but may also have additional steps not included in the figures.

[0030] The processing can correspond to methods, functions, procedures, subroutines, subroutines, etc.

[0031] Example 1: Figure 1 A flowchart of a heat-generating chiller control method provided in Embodiment 1 of this application is given. The heat-generating chiller control method provided in this embodiment can be executed by a heat-generating chiller control device. The heat-generating chiller control device can be implemented by software and / or hardware. The heat-generating chiller control device can be composed of two or more physical entities, or it can be composed of a single physical entity.

[0032] Generally speaking, the control equipment for heat-generating chillers can be a computer, an air conditioning system server, a chiller controller, or other processing equipment.

[0033] The following description uses a server as the main body for implementing the heat-generating chiller unit control method.

[0034] Reference Figure 1The specific control method for heat-generating chiller units includes: S110. Obtain heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area.

[0035] In the operation control of the chiller unit of the central air conditioning system in a large shopping mall, this application collects heat demand information of different designated areas through the air conditioning system server, and distributes the recovered heat energy of the corresponding shopping mall area based on the collected heat demand information.

[0036] The server first obtains the heat demand information of at least one first area (e.g., the food and beverage area) in the target shopping mall during the first time period and at least one second area (e.g., the cinema area) during the second time period through the corresponding data interface.

[0037] Heat demand information should include at least the required temperature grade of heat energy in each region (i.e., the specific temperature level of the required heat energy) and the corresponding period of demand occurrence or duration.

[0038] Optionally, the server can obtain the heat demand information in various ways, such as by directly reading the real-time monitoring data of temperature and humidity sensors deployed in various areas, as well as the different operating periods of each area (such as the peak dining period in the catering area, the time when the movie theater ends, etc.), and then querying the pre-stored heat energy temperature grade mapping information based on the different real-time temperature and humidity monitoring data to obtain the required heat energy temperature grade of each area.

[0039] The corresponding time period represents the demand period for heat.

[0040] It is important to note that the server needs to compare data to determine whether the required thermal energy temperature grade for the first region is higher than that for the second region, in order to achieve subsequent energy grade tiered utilization.

[0041] Optionally, the first area is a designated catering area, and the first time period is a time period that exceeds a preset threshold, determined based on indoor heat load and / or pedestrian density monitoring data of the catering area; the second area is a designated cinema area, and the second time period is a ventilation and warm-up period that includes the set film end time.

[0042] The server first establishes data connections with the catering area environmental monitoring system and the cinema scheduling management system.

[0043] For the dining area, the server continuously receives real-time indoor heat load data from dedicated sensors in the area, and / or crowd density information collected by devices such as crowd counters and video analytics terminals.

[0044] The server is pre-set with heat load thresholds and / or population density thresholds, which represent the critical state at which the area enters peak energy consumption.

[0045] By comparing the collected real-time monitoring data with the corresponding preset thresholds, it is dynamically determined whether the current catering area has entered the first time period.

[0046] When the monitored data continues to exceed the threshold, the server confirms that it has entered the first time period and initiates the corresponding high-grade thermal energy scheduling process.

[0047] For the cinema area, the server obtains the cinema's digital screening schedule through a data interface and analyzes the planned end time of each screening.

[0048] Based on this, the server can set a second time period based on the end time. This time period starts a short advance before the end of the event (to start preheating) and continues until the ventilation requirements are met after the event ends.

[0049] By integrating these two types of data, the server can grasp the first time period of high-quality heat demand (such as dehumidification and reheating) in the catering area, and the predictable future time period of low-quality preheating demand in the cinema area, namely the second time period, thus providing a precise time anchor for implementing cross-temporal and spatial heat energy scheduling.

[0050] Understandably, based on the catering and cinema areas, during subsequent control operations, the server instructs the chiller units to increase their operating parameters to produce high-temperature hot water during the first time slot in the catering area. This not only meets the immediate reheating needs of the kitchen area but also stores the surplus heat energy in the heat storage device. Then, when the second time slot in the cinema, scheduled by the film schedule, begins, the pre-stored heat energy in the heat storage device is prioritized for use in the cinema's air conditioning unit for preheating fresh air. This achieves precise allocation of the differentiated and time-sequential heat demands of the two areas, improving the reliability of energy management.

[0051] In addition, the determination of the first and second time periods can also be based on the set temperature changes of the regional air conditioning terminals or directly from the regional activity schedule released by the mall's unified operation and management platform.

[0052] For example, the first time period is triggered when the fresh air unit in the catering area is manually or automatically switched to the high humidity load dehumidification mode; the second time period is triggered when the cinema management module sends an exit preparation command to the system.

[0053] This application does not impose fixed restrictions on the specific determination of the first and second time periods, and will not elaborate further here.

[0054] Optionally, refer to Figure 2Obtain heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period, including: S1101. Obtain real-time temperature and humidity monitoring data for the first and second regions; S1102. Based on real-time temperature and humidity monitoring data and corresponding pre-stored regional load characteristic models, heat demand information is predicted.

[0055] Unlike the above-mentioned method of directly determining heat demand information based on real-time monitoring data, this application can further predict the heat demand information of the corresponding region based on the pre-stored regional load characteristic models of the first and second regions.

[0056] Specifically, the server continuously receives real-time temperature and humidity monitoring data from temperature and humidity sensors deployed in the first area (such as the catering area) and the second area (such as the cinema area). The real-time temperature and humidity monitoring data reflects the current thermal and humidity environment status of the corresponding area.

[0057] Based on this, the server calls its internally stored load characteristic models for different regions.

[0058] The first area (e.g., the dining area) and the second area (e.g., the cinema area) respectively invoke their corresponding regional load characteristic models.

[0059] The regional load characteristic model is obtained by training the model on historical data of the corresponding region's long-term operation (including historical temperature and humidity, traffic flow, equipment start-up and shutdown, season, time period, etc.) using machine learning algorithms. It can describe the complex pattern of heat load in the region as environmental parameters and time change.

[0060] The server uses the acquired real-time temperature and humidity monitoring data as input variables and substitutes them into the corresponding regional load characteristic model.

[0061] The model calculates and outputs a forecast of heat demand for the region over a foreseeable period of time (the next hour). This forecast includes the trend of heat demand changes and the predicted heat energy temperature grade required to achieve environmental control objectives (such as maintaining specific temperature and humidity).

[0062] For example, the model can predict the upcoming dehumidification and high-quality reheating demand based on the current rapidly rising humidity data in the catering area and its historical patterns; or it can predict the upcoming ventilation and preheating demand based on the stable temperature and humidity data in the cinema area and the subsequent closing time.

[0063] By integrating real-time sensor data with intelligent prediction models, a data foundation is provided for the coordinated scheduling of the system, effectively avoiding system response delays or supply-demand mismatches caused by sudden changes in demand.

[0064] Prior to this, the server collected historical operational datasets for several months or even several years for the corresponding area (such as the catering area or the cinema area). The datasets covered time-series data from multiple dimensions, including historical temperature and humidity, traffic statistics, start and stop status of major energy-consuming equipment, seasonal indicators, weekday and holiday indicators, and specific time periods each day.

[0065] These data are used to construct feature vectors, and supervised learning training is performed using networks such as Long Short-Term Memory (LSTM).

[0066] The training takes historical environmental parameters and other data as input and corresponding actual heat load and / or demand grade data as output labels. The internal parameters of the model are adjusted through iterative optimization algorithms, so that the model can learn the nonlinear mapping relationship between complex multidimensional features and heat demand, thereby having the ability to predict future short-term heat demand information based on real-time input data.

[0067] The regional load characteristic model of the corresponding area (such as the catering area or the cinema area) obtained by training is pre-stored on the server. When determining the heat load demand information of the corresponding area (such as the catering area or the cinema area), the regional load characteristic model of the corresponding area can be called and combined with the real-time temperature and humidity monitoring data of the area to achieve efficient and accurate calculation of heat demand information.

[0068] In addition, the server can generate thermal demand information based on preset standard demand curves that are based on operating schedules and design loads.

[0069] For example, the demand for high-end dining areas is preset during fixed lunch and dinner times, and the pre-show demand for cinemas is preset during fixed movie screening times.

[0070] By configuring the corresponding region's heat demand information using a simple standard demand curve, the efficiency of determining heat demand information can be further improved.

[0071] This application does not impose fixed restrictions on the specific process for determining heat demand information, and will not elaborate further here.

[0072] S120. Based on the heat demand information of the first and second regions, determine the relationship between the temperature grade of the heat energy demanded in the first and second regions and the relationship between the time of demand. According to the relationship between the temperature grade of the heat energy demanded and the relationship between the time of demand, determine the coordinated operation scheduling instruction sequence for the chiller and the heat storage device in the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller to produce the recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy.

[0073] Based on the heat demand information of the first and second regions obtained above, the server performs correlation analysis to determine the correlation between the first and second regions.

[0074] The correlation includes the relationship between the temperature grade of the heat energy demanded by the two regions, as well as the temporal relationship between the demand periods of the two regions, such as their order, overlap, or interval.

[0075] Grade relationship indicates the direction of energy transfer from high-grade region to low-grade region in a stepped manner, while time relationship determines the execution time of energy transfer (such as whether it occurs immediately or needs to go through storage buffer).

[0076] The server integrates these two relationships to generate a set of coordinated operation scheduling instructions for the chiller and thermal storage device in the first and second time periods.

[0077] The coordinated operation scheduling instruction sequence is a set of control logics with time-series correlation. It specifies the target operating parameters (such as condensing temperature setpoint) of the chiller unit at different times to control its output of recovered heat energy at a specific temperature level that matches the demand. At the same time, the coordinated operation scheduling instruction sequence also specifies when and in what mode (storage or release) the heat storage device intervenes in the heat energy flow, thereby transforming the heat energy demand of the two areas into executable equipment coordinated actions.

[0078] S130. According to the coordinated operation scheduling instruction sequence, the chiller unit is controlled to produce high-grade recovered heat energy in the first time period. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable and adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable and adaptable heat energy is simultaneously transported to the heat storage device for storage.

[0079] Based on the generated sequence of coordinated operation scheduling instructions, when the first time period arrives, the server sends the first operating parameter adjustment instruction to the chiller unit of the air conditioning system.

[0080] This instruction is used to control the chiller unit to operate at the corresponding condensing temperature, so that the heat recovery device connected to it can produce high-grade recovered heat energy with the overall temperature reaching the corresponding value.

[0081] High-grade thermal energy is specifically divided into two parts: primary grade recovered thermal energy and dispatchable and adaptable thermal energy.

[0082] Among them, the first grade of recovered heat energy strictly matches the required heat energy temperature grade of the first region in terms of temperature.

[0083] The server then controls the corresponding valves on the heat distribution network to direct this heat energy to the first area to meet its immediate heat demand.

[0084] At the same time, the server synchronously controls the pipeline to guide the available heat energy to the heat storage device for preservation.

[0085] This spatially separates thermal energy from its source to different application endpoints, while temporally pre-storing energy for subsequent thermal energy needs.

[0086] S140. According to the coordinated operation scheduling instruction sequence, in the second time period, the thermal storage device is given priority to release the dispatchable and adaptable thermal energy, and the dispatchable and adaptable thermal energy is distributed to the second area through the thermal energy distribution network; and if the dispatchable and adaptable thermal energy does not match the thermal demand information of the second area, the chiller unit is controlled to produce second-grade recovered thermal energy, and the second-grade recovered thermal energy is distributed to the second area through the thermal energy distribution network, so that the second-grade recovered thermal energy and the dispatchable and adaptable thermal energy match the thermal demand information of the second area.

[0087] Furthermore, when the system time enters the second period, the server, according to the instruction sequence, prioritizes issuing release instructions to the heat storage device.

[0088] At this point, the thermal storage device outputs the previously stored, schedulable, and adaptable thermal energy, and the server controls the pipeline network to distribute it to the second area to meet the low-grade heat demand of that area, thereby utilizing the time difference to achieve the complementary advantages of energy transfer.

[0089] Furthermore, when the thermal energy stored in the thermal storage device may not be able to fully match the thermal demand information of the second area due to various reasons (such as insufficient storage or temperature decay).

[0090] At this point, the server can continuously monitor and provide feedback. When it is determined that the available heat energy supply is insufficient, it will further trigger the supplementation mechanism, issue a second operating parameter adjustment command to the chiller unit, and instruct the chiller unit to produce a second grade of recovered heat energy, which will then be supplemented to the second area through the pipeline network.

[0091] The second grade of recovered heat energy is matched with the sum of the dispatchable and adaptable heat energy to determine the heat demand information of the second region.

[0092] In other words, whether the heat energy comes from the thermal storage device or the immediate supplementary heat energy from the chiller unit, the ultimate goal is to ensure that it matches the heat demand information of the second area, thereby ensuring the reliability of the system's energy supply while giving priority to the use of the stored waste heat.

[0093] Based on the above scheme, dynamic matching and optimized scheduling of recovered heat energy can be achieved under different grade requirements and different spatiotemporal scenarios.

[0094] By actively scheduling and complementing time and space, the utilization efficiency of recovered heat energy has been improved.

[0095] For example, during the process of setting the coordinated operation scheduling instruction sequence, the server calculates the target condensing temperature that the chiller unit needs to reach in the first period based on the quality relationship (e.g., the first area requires 55°C while the second area requires 45°C), thereby generating specific unit operation parameter instructions.

[0096] The server determines the target condensing temperature setpoint required to achieve the desired temperature by querying its internally stored table of required temperature and condensing temperature mapping information based on the chiller's characteristic data, or by calling its built-in thermodynamic model and combining it with the current operating parameters.

[0097] For example, to meet the hot water demand of 55℃ in the catering area, the server queries the mapping table to output a specific instruction that the condensation temperature needs to be controlled above 50℃. Secondly, based on the time relationship (for example, there is a 2-hour interval between the end of the first period and the start of the second period), the server calculates the storage start time, the expected total amount of heat energy to be stored, and the storage duration of the heat storage device, thereby generating an operation instruction for the heat storage device that includes these time and energy parameters.

[0098] For example, the server determines the storage start time as the time of first grade heat energy allocation based on the interval between the end time of the first period and the 2-hour interval; according to the total amount of schedulable and adaptable heat energy produced in the first period and the heat loss model of the heat storage device, it calculates the total amount of heat energy to be stored and the storage time required to maintain the heat, thereby generating a heat storage device operation instruction containing parameters such as "storage starts at time T1, total heat Q, duration 2 hours".

[0099] Finally, based on the heat energy sources and destinations defined by the above instructions, the action sequence and opening degree of each control valve in the chiller unit pipeline network are calculated, pipeline valve control instructions that ensure heat energy flows along the designed path are generated, and all instructions arranged in timeline are integrated into a complete coordinated operation scheduling instruction sequence.

[0100] The sequence of collaborative operation scheduling instructions can be adjusted adaptively according to actual needs. This application does not impose fixed restrictions on the specific design scheme of the collaborative operation scheduling instruction sequence, and will not elaborate further here.

[0101] Optionally, based on the relationship between the required heat energy temperature grade and the demand time, a sequence of coordinated operation scheduling instructions for the chiller unit and thermal storage device is determined for the first and second time periods, including: Based on the demand-time relationship, the time interval between the first and second time periods is determined. A thermal energy storage instruction is generated based on the time interval and added to the collaborative operation scheduling instruction sequence. The thermal energy storage instruction is used to instruct the thermal storage device to store the schedulable and adaptable thermal energy.

[0102] The server determines the time distance between the storage window for a thermal energy storage device and the release window by calculating the difference between the start times of two time periods.

[0103] Based on this time interval parameter, the server will invoke the preset instruction generation logic.

[0104] If the time interval is greater than the minimum threshold set by the system (which is determined based on the heat loss characteristics of the heat storage device or the control response time), the logic determines that the heat storage must be activated to avoid heat loss due to the time gap.

[0105] Subsequently, the server generates a thermal energy storage instruction based on the instruction generation logic. This instruction can contain a data object or control message with multiple fields.

[0106] The thermal energy storage instruction specifies the identifier of the target thermal energy storage device, the expected start and stop timestamps of the storage operation, and the expected total amount of thermal energy to be stored or the target thermal energy storage medium temperature calculated based on the schedulable adaptable thermal energy predicted flow rate and temperature.

[0107] After generating the thermal energy storage instruction, the server inserts it into the specified sequential position in the preliminarily constructed collaborative operation scheduling instruction sequence according to the overall event timeline of the first period, so as to achieve precise control of the chiller unit through subsequent sequential execution.

[0108] Optionally, the water temperature of the heat storage device of this application that stores dispatchable and adaptable thermal energy is between the required thermal energy temperature grade of the first region and the required thermal energy temperature grade of the second region.

[0109] When executing thermal energy storage instructions, the server sets and controls the target temperature of the storage medium in the thermal storage device in a range.

[0110] The server first extracts the required thermal energy temperature grade (denoted as T) for the first region from the acquired thermal demand information. high The temperature grade of the heat energy required in the second region (denoted as T) low The specific value of ).

[0111] According to T high With T low The server calculates and determines a target storage water temperature range [T] that falls between the two. target_low T target_high ], where T target_low >T low And T target_high <T high .

[0112] Understandably, if the storage temperature is too close to T... high, although it can maximize the retention of energy grade, it will lead to an increase in the heat loss rate during the storage process and pose higher requirements for the heat insulation performance of the heat storage device; if it is too close to T low , it may not be able to fully utilize the value of the high-grade heat source, and an additional mixing or temperature adjustment process may be required before distributing the heat energy to the second area.

[0113] Therefore, in this application, by setting the target storage water temperature range, heat energy storage buffering is carried out.

[0114] Among them, the server determines the lower limit of the target range according to the required temperature T high of the first area and the required temperature T low of the second area, combined with the preset engineering experience coefficient k (0 < k < 1, for example, k = 0.2 to 0.4) for calculation: T target_low = T low + k(T high - T low ) Upper limit of the target range: T target_high = T high - k(T high - T low ) Thus, it is ensured that the stored water temperature is always between the two and not too close to either endpoint, so as to balance the heat grade retention and storage loss.

[0115] After determining the target temperature range, the server integrates this parameter into the heat energy storage instruction sent to the heat storage device control unit.

[0116] According to this instruction, the control system of the heat storage device ensures that the temperature of the heat energy medium imported into the storage tank is stably within the range of the target storage water temperature during the storage operation by adjusting the operation of its internal heat exchanger.

[0117] At the same time, in the subsequent release stage, based on the target storage water temperature range, it is also ensured that the temperature of the output heat energy medium is not lower than T low , so that it can directly match the heat demand of the second area, achieving the balance of energy grade preservation and utilization efficiency.

[0118] Optionally, the first-grade recovered heat energy is directionally distributed to the first area through the heat energy distribution pipeline network, and at the same time, the schedulable adaptable heat energy is transported to the heat storage device for storage, including: Collect the real-time heat demand load of the first area, dynamically adjust the proportion of the first-grade recovered heat energy distributed to the first area based on the real-time heat demand load, and use the remaining recovered heat energy as the schedulable adaptable heat energy.

[0119] While the server controls the chiller unit to produce high-grade recovered heat energy according to the instructions and prepares to distribute it, it collects real-time heat demand load data that reflects the instantaneous actual energy consumption status of the first area (such as the catering area) to make adaptive adjustments to the first-grade recovered heat energy.

[0120] Real-time heat demand load data can be obtained by monitoring the actual supply and return water temperature difference and flow rate of the reheat coils in the air handling units serving the area, thereby directly calculating the instantaneous heat absorption.

[0121] Alternatively, by analyzing the deviation between the temperature and humidity sensor data of the area and the set values, and their changing trends, the real-time heat demand load can be calculated.

[0122] Furthermore, the heat demand load data can be obtained by weighting the pedestrian flow data and temperature and humidity sensor data in the area. This application does not impose fixed restrictions on the specific calculation method of real-time heat demand load data, and will not elaborate further here.

[0123] Furthermore, by comparing this real-time heat demand load value with the total output power of the current high-grade recovered heat energy in real time, a proportional instruction for allocating the first-grade recovered heat energy to the first region is output, which dynamically changes with the real-time heat demand load.

[0124] The formula for calculating the dynamic allocation ratio R is: R = min(max(P demand / P total , R min ), R max ) Where P demand For real-time heat demand load, P total To achieve high-grade recovery of total output power from heat energy, R min and R max These are the preset lower and upper limits for the ratio.

[0125] This formula ensures that the allocation ratio always follows the real-time changes in demand load while remaining within a preset reasonable operating range.

[0126] For example, when the demand for reheating in the catering area surges due to increased instantaneous cooking activity, the server will increase the allocation ratio to ensure that most or even all of the high-quality heat energy is delivered to the catering area in a timely manner to meet the peak demand; and when the demand temporarily drops, the ratio will be reduced.

[0127] By sending dynamically calculated proportional commands to the heat energy distribution network in real time for distribution, the high-grade recovered heat energy output from the chiller unit is dynamically divided into two parts in the flow path according to the calculated proportion: one part is used as the first-grade recovered heat energy, whose flow rate matches the current real-time demand and is transported to the first area; the flow rate of the remaining heat energy changes accordingly, and this part of the heat energy, as dispatchable and adaptable heat energy, is guided to the branch leading to the heat storage device for storage.

[0128] This ensures that high-grade thermal energy is maximized and rationally converted into reserve energy available for subsequent dispatch and utilization, while prioritizing the real-time fluctuation needs of the first region.

[0129] This avoids situations where there is an oversupply of energy or an insufficient supply of dispatching resources due to a fixed allocation ratio.

[0130] Alternatively, the server can also use a fixed-time program based on the predicted load curve to set the allocation ratio.

[0131] For example, based on historical data, a high allocation ratio can be preset during the midday peak period, and a lower ratio can be preset before and after the peak period.

[0132] This application does not impose fixed restrictions on the specific allocation ratio, and will not elaborate further here.

[0133] Optionally, the primary grade of recovered heat energy is used to distribute to the reheat coil inside the fresh air handling unit in the dining area to reheat the dehumidified air to achieve the set supply air temperature.

[0134] After the primary grade recovered heat energy is directed to the catering area through the pipeline network, the primary grade recovered heat energy is transferred to the reheat coils specially designed inside the fresh air handling unit (or combined air conditioning unit) of that area.

[0135] The reheat coil, as a heat exchanger, is the final device for realizing the ultimate function of thermal energy.

[0136] The server regulates the flow rate and velocity of hot water entering the reheat coil by controlling the opening of an electric regulating valve installed on this branch.

[0137] At the same time, the server continuously receives sensor data from inside the fresh air handling unit, such as the air temperature sensor located after the cooling and dehumidifying coil and before the reheating coil (monitoring the low-temperature air that has been cooled and dehumidified to near the dew point temperature), and the air temperature sensor located after the reheating coil and before the air outlet (monitoring the final air supply temperature after reheating).

[0138] The deviation value is calculated by comparing the measured value of the final supply air temperature with the target supply air temperature value set by the system in real time.

[0139] Based on this deviation value, the controller dynamically adjusts the real-time control signal of the electric regulating valve.

[0140] For example, when the supply air temperature is lower than the set value, the controller will increase the opening of the regulating valve to allow more high-temperature hot water to flow through the reheat coil, thereby enhancing the heating capacity of the air flowing through it; conversely, it will decrease the opening.

[0141] Through this closed-loop control circuit, the first-grade recovered heat energy uses controlled hot water as a medium to efficiently exchange heat with dehumidified low-temperature air in the reheat coil, heating the air to the required supply air temperature, thereby precisely meeting the needs of maintaining thermal comfort and ensuring ventilation in the catering area.

[0142] Optionally, this application may also construct a deep reinforcement learning model to more accurately predict regional heat demand and pre-generate scheduling instructions.

[0143] The server takes historical data (such as temperature and humidity, people flow, equipment status, weather, and time) and real-time data streams as input.

[0144] The deep reinforcement learning model outputs a set of candidate scheduling instruction parameters (such as target condensing temperature and allocation ratio) based on the current system status (such as chiller unit efficiency, thermal storage device inventory, and pipeline status).

[0145] Then, the model parameters are adjusted by evaluating the cumulative reward that these instructions can obtain in a complete scheduling cycle in the future (the reward function can take into account energy consumption costs, demand satisfaction, equipment losses, etc.).

[0146] The model is trained offline and fine-tuned online using the methods described above, learning the ability to make scheduling instructions in dynamic environments.

[0147] During the deployment phase, the model can output a corresponding sequence of collaborative operation scheduling instructions based on the current and predicted status of the corresponding area of ​​the shopping mall.

[0148] This further improves the decision-making efficiency and accuracy of collaborative operation scheduling instruction sequences.

[0149] In one embodiment, this describes a scenario where dynamic heat demand arises simultaneously in multiple areas of a shopping mall.

[0150] This application can also define a dynamic priority score for the heat demand of each area (such as reheating of the catering area, preheating of the cinema, supplemental heating of the swimming pool lobby, and domestic hot water).

[0151] The score is calculated and weighted in real time from multiple dimensions, including basic priority (such as functional importance setting), demand urgency (the magnitude and rate of change of deviation from the set temperature and humidity), and unit thermal energy economic value (for example, the energy-saving value of replacing electric reheat is higher than that of replacing gas boiler).

[0152] When scheduling requests from different regions conflict in terms of time or total heat energy, dynamic recovery heat energy allocation decisions can be made for multiple regions based on the dynamic priority score of each request, the total available heat energy (including real-time output and heat storage inventory), and the pipeline distribution capacity, thereby adjusting the heat energy supply to each region.

[0153] For example, the supply ratio to a certain region can be temporarily reduced, or some low-priority demand can be transferred to backup heat sources to ensure that the highest priority demand is met.

[0154] This enables the global dynamic allocation of limited high-grade recovered heat energy across multiple demand scenarios.

[0155] Reference Figure 3Server 11 acquires heat demand information for at least one designated first area 14 of the target shopping mall during a first time period, and heat demand information for at least one designated second area 15 during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period, with the required heat energy temperature grade of the first area 14 being higher than that of the second area 15. Based on the heat demand information of the first area 14 and the second area 15, server 11 determines the high-low relationship of the required heat energy temperature grade and the demand time relationship between the first area 14 and the second area 15. Based on the high-low relationship of the required heat energy temperature grade and the demand time relationship, server 11 determines a sequence of coordinated operation scheduling instructions for the chiller unit and the heat storage device during the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller unit 12 to produce recovered heat energy at the corresponding temperature grade and to control the heat storage device 13 to store and release the recovered heat energy. The sequence controls the chiller unit 12 to produce high-grade recovered heat energy in the first time period. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable adaptive heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is then distributed to the first area 14 through the heat energy distribution network, and the dispatchable adaptive heat energy is simultaneously transported to the heat storage device 13 for storage. In the second time period, according to the coordinated operation scheduling instruction sequence, the heat storage device 13 is prioritized to release the dispatchable adaptive heat energy. The dispatchable adaptive heat energy is then distributed to the second area 15 through the heat energy distribution network. If the dispatchable adaptive heat energy does not match the heat demand information of the second area 15, the chiller unit 12 is controlled to produce second-grade recovered heat energy. The second-grade recovered heat energy is then distributed to the second area 15 through the heat energy distribution network. The second-grade recovered heat energy and the dispatchable adaptive heat energy are matched with the heat demand information of the second area 15.

[0156] By employing the aforementioned technical means, and by introducing the analysis and scheduling of dynamic heat demand in different areas of the shopping mall in terms of temperature grade and time, the high-grade recovered heat energy produced by the chiller unit 12 can meet the demand of the first area 14 while separating and storing the dispatchable heat energy that is suitable for the demand of the second area 15. This heat energy is then prioritized for allocation during the demand period of the second area 15, achieving precise matching and proactive scheduling of recovered heat energy under different grade demands and different time and space scenarios. This improves the overall energy efficiency and energy utilization rate of the system and effectively reduces the operating cost of the shopping mall's air conditioning system.

[0157] Example 2: Based on the above embodiments, Figure 4 This is a schematic diagram of a heat-generating chiller control system provided in Embodiment 2 of this application.

[0158] refer to Figure 4 The heat-generating chiller control system provided in this embodiment specifically includes: The acquisition module 21 is used to acquire heat demand information of at least one designated first area of ​​the target shopping mall in the first time period, and heat demand information of at least one designated second area in the second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area. The instruction determination module 22 is used to determine the relationship between the temperature grade of the required heat energy and the time relationship between the first and second regions based on the heat demand information of the first and second regions. Based on the relationship between the temperature grade of the required heat energy and the time relationship, it determines the coordinated operation scheduling instruction sequence for the chiller and the heat storage device in the first and second time periods. The coordinated operation scheduling instruction sequence is used to control the chiller to produce the recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy. The first scheduling module 23 is used to control the chiller unit to produce high-grade recovered heat energy in the first time period according to the coordinated operation scheduling instruction sequence. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable and adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable and adaptable heat energy is simultaneously transported to the heat storage device for storage. The second scheduling module 24 is used to prioritize controlling the thermal storage device to release dispatchable and adaptable thermal energy in the second time period according to the coordinated operation scheduling instruction sequence, and to distribute the dispatchable and adaptable thermal energy to the second area through the thermal energy distribution network; and when the dispatchable and adaptable thermal energy does not match the thermal demand information of the second area, it controls the chiller unit to produce second-grade recovered thermal energy, and distributes the second-grade recovered thermal energy to the second area through the thermal energy distribution network, so that the second-grade recovered thermal energy and the dispatchable and adaptable thermal energy match the thermal demand information of the second area.

[0159] Specifically, the first area is the designated catering area, and the first time period is the period above the preset threshold determined based on the indoor heat load and / or pedestrian density monitoring data of the catering area; the second area is the designated cinema area, and the second time period is the ventilation and warm-up period including the set film end time.

[0160] Specifically, the primary grade of recovered heat energy is used to distribute to the reheat coil inside the fresh air handling unit in the catering area to reheat the dehumidified air to reach the set supply air temperature.

[0161] Specifically, obtaining heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period, includes: Acquire real-time temperature and humidity monitoring data for the first and second regions; Based on real-time temperature and humidity monitoring data and corresponding pre-stored regional load characteristic models, heat demand information is predicted.

[0162] Specifically, based on the relationship between the temperature grade of the demanded heat energy and the time relationship of the demand, the sequence of coordinated operation scheduling instructions for the chiller unit and the thermal storage device in the first and second time periods is determined, including: Based on the demand-time relationship, the time interval between the first and second time periods is determined. A thermal energy storage instruction is generated based on the time interval and added to the collaborative operation scheduling instruction sequence. The thermal energy storage instruction is used to instruct the thermal storage device to store the schedulable and adaptable thermal energy.

[0163] Specifically, the recovered heat energy of the first grade is directionally distributed to the first area through a heat energy distribution network, and simultaneously, the dispatchable and adaptable heat energy is transported to a heat storage device for storage, including: The real-time heat demand load of the first region is collected, and the proportion of high-grade recovered heat energy allocated to the first-grade recovered heat energy of the first region is dynamically adjusted based on the real-time heat demand load. The remaining recovered heat energy is used as dispatchable and adaptable heat energy.

[0164] Specifically, the water temperature of the heat storage device that stores dispatchable and adaptable thermal energy is between the required thermal energy temperature grade of the first region and the required thermal energy temperature grade of the second region.

[0165] The above describes the process of obtaining heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period, with the required heat energy temperature grade of the first area being higher than that of the second area. Based on the heat demand information of the first and second areas, the relationship between the required heat energy temperature grades and the demand time period between the first and second areas is determined. Based on this relationship, a coordinated operation scheduling command sequence for the chiller unit and the thermal storage device is determined for the first and second time periods. This coordinated operation scheduling command sequence is used to control the chiller unit to produce recovered heat energy at the corresponding temperature grade and to control the thermal storage device to store and release the recovered heat energy. In the first time period, the chiller unit is controlled to produce high-grade recovered heat energy, which includes first-grade recovered heat energy and dispatchable adaptive heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area, and is then distributed to the first area through the heat energy distribution network. Simultaneously, the dispatchable adaptive heat energy is transported to the heat storage device for storage. In the second time period, according to the coordinated operation scheduling instruction sequence, the heat storage device is prioritized to release the dispatchable adaptive heat energy, which is then distributed to the second area through the heat energy distribution network. If the dispatchable adaptive heat energy does not match the heat demand information of the second area, the chiller unit is controlled to produce second-grade recovered heat energy, which is then distributed to the second area through the heat energy distribution network. The second-grade recovered heat energy and the dispatchable adaptive heat energy are matched with the heat demand information of the second area.

[0166] By employing the aforementioned technical means, and through the analysis and scheduling of dynamic heat demand in different areas of the shopping mall in terms of temperature grade and time, the high-grade recovered heat energy produced by the chiller unit can meet the demand of the first area while separating and storing the dispatchable heat energy suitable for the demand of the second area. This heat energy is then prioritized for allocation during the demand period of the second area, achieving precise matching and proactive scheduling of recovered heat energy under different grade demands and different time and space scenarios. This improves the overall energy efficiency and energy utilization rate of the system and effectively reduces the operating cost of the shopping mall's air conditioning system.

[0167] The heat-generating chiller control system provided in Embodiment 2 of this application can be used to execute the heat-generating chiller control method provided in Embodiment 1 above, and has corresponding functions and beneficial effects.

[0168] Example 3: This application provides an electronic device in embodiment three, referring to... Figure 5 The electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35.

[0169] The electronic device may have one or more processors, and the electronic device may have one or more memories.

[0170] The processor, memory, communication module, input device, and output device of this electronic device can be connected via a bus or other means.

[0171] As a computer-readable storage medium, a memory can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the heat-generating chiller unit control method described in any embodiment of this application (e.g., the acquisition module, instruction determination module, first scheduling module, and second scheduling module in the heat-generating chiller unit control system).

[0172] The memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system and at least one application program required for a function; the data storage area can store data created according to the use of the device.

[0173] In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0174] In some instances, the memory may further include memory remotely located relative to the processor, which can be connected to the device via a network.

[0175] Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0176] The communication module is used for data transmission.

[0177] The processor executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in memory, thereby realizing the above-mentioned control method for heat-generating chiller units.

[0178] The input device can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the device.

[0179] Output devices may include display screens or other display devices.

[0180] The electronic equipment provided above can be used to execute the heat-generating chiller unit control method provided in Embodiment 1 above, and has corresponding functions and beneficial effects.

[0181] Example 4: This application embodiment also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute a chiller unit control method based on heat generation. This method includes: acquiring heat demand information for at least one designated first area of ​​a target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period, wherein the required heat energy temperature grade of the first area is higher than that of the second area; determining the high-low relationship of the required heat energy temperature grade and the demand time relationship between the first and second areas based on the heat demand information of the first and second areas; and determining a coordinated operation scheduling instruction sequence for the chiller unit and heat storage device during the first and second time periods based on the high-low relationship of the required heat energy temperature grade and the demand time relationship. The coordinated operation scheduling instruction sequence is used to control the chiller unit to produce the corresponding temperature... The system recovers high-grade heat energy and controls the storage and release of this recovered heat energy using a thermal storage device. Based on a coordinated operation scheduling command sequence, in the first time period, the chiller unit is controlled to produce high-grade recovered heat energy, which includes first-grade recovered heat energy and dispatchable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area and is then directionally distributed to the first area through the heat energy distribution network. Simultaneously, the dispatchable heat energy is transported to the thermal storage device for storage. In the second time period, based on the coordinated operation scheduling command sequence, the thermal storage device is prioritized to release the dispatchable heat energy, which is then directionally distributed to the second area through the heat energy distribution network. If the dispatchable heat energy does not match the heat demand information of the second area, the chiller unit is controlled to produce second-grade recovered heat energy, which is then directionally distributed to the second area through the heat energy distribution network. The second-grade recovered heat energy and the dispatchable heat energy are matched with the heat demand information of the second area.

[0182] Storage medium – any type of memory device or storage device.

[0183] The term "storage medium" is intended to include: mounting media, such as CD-ROM, floppy disk, 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 (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc.

[0184] Storage media may also include other types of memory or combinations thereof.

[0185] Alternatively, the storage medium may be located in a first computer system in which the program is executed, or it may be located in a different second computer system connected to the first computer system via a network (such as the Internet).

[0186] The second computer system can provide program instructions to the first computer for execution.

[0187] The term “storage medium” can include two or more storage media residing in different locations (e.g., in different computer systems connected via a network).

[0188] Storage media can store program instructions (e.g., implemented as a computer program) that can be executed by one or more processors.

[0189] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the heat-generating chiller unit control method described above, but can also execute related operations in the heat-generating chiller unit control method provided in any embodiment of this application.

[0190] The heat-generating chiller control system, storage medium, and electronic equipment provided in the above embodiments can execute the heat-generating chiller control method provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the heat-generating chiller control method provided in any embodiment of this application.

[0191] The above are merely preferred embodiments of this application and the technical principles employed therein.

[0192] This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of this application.

[0193] Therefore, although the present application has been described in 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 method for controlling a water chiller unit based on heat generation, characterized in that, include: The heat demand information of at least one designated first area of ​​the target shopping mall in a first time period and the heat demand information of at least one designated second area in a second time period are obtained. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area. Based on the heat demand information of the first region and the second region, the relationship between the required heat energy temperature grade and the demand time relationship between the first region and the second region is determined. According to the relationship between the required heat energy temperature grade and the demand time relationship, a coordinated operation scheduling instruction sequence for the chiller unit and the heat storage device is determined in the first time period and the second time period. The coordinated operation scheduling instruction sequence is used to control the chiller unit to produce the recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy. According to the coordinated operation scheduling instruction sequence, the chiller unit is controlled to produce high-grade recovered heat energy in the first time period. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable and adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable and adaptable heat energy is simultaneously transported to the heat storage device for storage. According to the coordinated operation scheduling instruction sequence, in the second time period, the thermal storage device is preferentially controlled to release the schedulable and adaptable thermal energy, and the schedulable and adaptable thermal energy is directionally distributed to the second area through the thermal energy distribution network; and if the schedulable and adaptable thermal energy does not match the thermal demand information of the second area, the chiller unit is controlled to produce second-grade recovered thermal energy, and the second-grade recovered thermal energy is directionally distributed to the second area through the thermal energy distribution network, wherein the second-grade recovered thermal energy and the schedulable and adaptable thermal energy match the thermal demand information of the second area.

2. The method for regulating a chiller unit based on heat generation according to claim 1, characterized in that, The first area is a designated dining area, and the first time period is a period of time above a preset threshold determined based on indoor heat load and / or pedestrian density monitoring data of the dining area; the second area is a designated cinema area, and the second time period is a ventilation and warm-up period that includes the set time of film end.

3. The method for regulating a chiller unit based on heat generation according to claim 2, characterized in that, The first grade of recovered heat energy is used to distribute to the reheat coil inside the fresh air handling unit in the catering area to reheat the dehumidified air to reach the set supply air temperature.

4. The method for regulating a heat-generating chiller unit according to claim 1, characterized in that, The step of obtaining heat demand information for at least one designated first area of ​​the target shopping mall during a first time period, and heat demand information for at least one designated second area during a second time period, includes: Acquire real-time temperature and humidity monitoring data for the first and second regions; Based on the real-time temperature and humidity monitoring data and the corresponding pre-stored regional load characteristic model, the heat demand information is predicted.

5. The method for regulating a chiller unit based on heat generation according to claim 1, characterized in that, The step of determining the coordinated operation scheduling instruction sequence for the chiller unit and thermal storage device in the first time period and the second time period based on the relationship between the required thermal energy temperature grade and the required time period includes: Based on the demand time relationship, the time interval between the first time period and the second time period is determined, a thermal energy storage instruction is generated based on the time interval, and the thermal energy storage instruction is added to the collaborative operation scheduling instruction sequence. The thermal energy storage instruction is used to instruct the thermal storage device to store the schedulable and adaptable thermal energy.

6. The method for regulating a chiller unit based on heat generation according to claim 1, characterized in that, The step of directionally distributing the recovered heat energy of the first grade to the first area through a heat energy distribution network, and simultaneously delivering the dispatchable and adaptable heat energy to the heat storage device for storage, includes: The real-time heat demand load of the first region is collected, and the proportion of the high-grade recovered heat energy allocated to the first region is dynamically adjusted based on the real-time heat demand load. The remaining recovered heat energy is used as the dispatchable and adaptable heat energy.

7. The method for regulating a chiller unit based on heat generation according to claim 1, characterized in that, The temperature of the water in the heat storage device that stores the adjustable thermal energy is between the required thermal energy temperature grade of the first region and the required thermal energy temperature grade of the second region.

8. A control system for a heat-generating chiller unit, characterized in that, include: The acquisition module is used to acquire heat demand information of at least one designated first area of ​​the target shopping mall in a first time period, and heat demand information of at least one designated second area in a second time period. The heat demand information includes at least the required heat energy temperature grade and the corresponding demand time period. The required heat energy temperature grade of the first area is higher than that of the second area. The instruction determination module is used to determine the relationship between the required heat energy temperature grade and the required time between the first region and the second region based on the heat demand information of the first region and the second region. Based on the relationship between the required heat energy temperature grade and the required time, the module determines the coordinated operation scheduling instruction sequence for the chiller unit and the heat storage device in the first time period and the second time period. The coordinated operation scheduling instruction sequence is used to control the chiller unit to produce recovered heat energy at the corresponding temperature grade and to control the heat storage device to store and release the recovered heat energy. The first scheduling module is used to control the chiller unit to produce high-grade recovered heat energy in the first time period according to the coordinated operation scheduling instruction sequence. The high-grade recovered heat energy includes first-grade recovered heat energy and dispatchable adaptable heat energy. The first-grade recovered heat energy is matched with the heat demand information of the first area. The first-grade recovered heat energy is distributed to the first area through the heat energy distribution network, and the dispatchable adaptable heat energy is simultaneously transported to the heat storage device for storage. The second scheduling module is used to prioritize controlling the thermal storage device to release the schedulable and adaptable thermal energy during the second time period according to the coordinated operation scheduling instruction sequence, and to directionally distribute the schedulable and adaptable thermal energy to the second area through the thermal energy distribution network; and if the schedulable and adaptable thermal energy does not match the thermal demand information of the second area, it controls the chiller unit to produce second-grade recovered thermal energy, and directionally distributes the second-grade recovered thermal energy to the second area through the thermal energy distribution network, wherein the second-grade recovered thermal energy and the schedulable and adaptable thermal energy match the thermal demand information of the second area.

9. An electronic device, characterized in that, include: 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-generating chiller unit control method as described in any one of claims 1-7.

10. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the heat-generating chiller unit control method as described in any one of claims 1-7.

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