A central air conditioning energy-saving control method and system
Patent Information
- Application Number
- CN202610496088.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-15
- Publication Date
- 2026-10-09
- Estimated Expiration
- 2046-04-15
AI Technical Summary
[0004]因此,在由中央空调、制冷、供热等多系统构成的工业环境控制场景中,各子系统控制孤立,导致了能源利用效率低下、环境参数控制精度不足、系统运行可靠性面临风险以及综合运维成本高昂等一系列缺陷
1、通过获取不同区域(空调开启位置单元)的人员流动数据及室内外温湿度,并利用预先训练的空调启动控制模型,生成个性化的初始温湿度设定。这种方法能够根据空间使用特征和外部环境,在空调启动时即提供接近最优的初始工作指令,避免了传统方式从默认状态开始调节所造成的能源浪费,实现了从启动阶段就进行的节能优化;
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Figure CN122083461B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of central air conditioning control, and in particular to a central air conditioning energy-saving control method and system. Background Technology
[0002] Central air conditioning systems are critical infrastructure for maintaining temperature, humidity, cleanliness, and pressure differential in specific environments such as industrial plants, pharmaceutical workshops, and laboratories. In fields with stringent environmental requirements, such as pharmaceutical manufacturing (e.g., API workshops) and pharmaceutical research and development, central air conditioning systems must work in conjunction with multiple auxiliary systems, such as refrigeration plants and hot water supply systems, to form a complex industrial environmental control system.
[0003] Currently, the invention patent with publication number CN119642336A discloses an energy-saving optimization system for central air conditioning units based on load forecasting, belonging to the field of air conditioning energy-saving technology. It introduces a VMDTransformerGRU hybrid deep learning model, significantly improving the accuracy of cooling load forecasting through multi-source data fusion, enabling the forecasting model to identify load change trends in advance. This improvement effectively enhances the system's dynamic response capability, allowing for pre-regulation before load changes occur, reducing energy waste. By modeling chillers, cooling towers, and pumps as independent intelligent agents and employing Multi-Agent Deep Reinforcement Learning (MADRL), each agent can autonomously learn and optimize its own control strategy. The agents collaborate with each other, achieving efficient operation of the overall system through autonomous decision-making, avoiding operational conflicts between devices. This approach achieves dynamic coordination and joint optimization among devices, reducing ineffective energy consumption and significantly improving the overall energy-saving effect and operational stability of the system. Although the collaboration between the various intelligent agents is disclosed, related existing technical solutions typically have the following characteristics: First, in terms of system architecture, combined air conditioning units, refrigeration stations, and hot water systems often use their own independent controllers (PLCs) and human-machine interfaces (HMIs). Secondly, in terms of control strategy, each system usually performs closed-loop regulation based on its own detected local parameters (such as air conditioning based on return air temperature and humidity, and refrigeration station based on chilled water supply temperature).
[0004] Therefore, in industrial environmental control scenarios consisting of multiple systems such as central air conditioning, refrigeration, and heating, the control of each subsystem is isolated, resulting in a series of defects such as low energy utilization efficiency, insufficient accuracy of environmental parameter control, risks to system operation reliability, and high overall operation and maintenance costs. Summary of the Invention
[0005] In order to improve the energy efficiency of central air conditioning, this application provides a central air conditioning energy-saving control method and system.
[0006] The above-mentioned objective of this application is achieved through the following technical solution: A central air conditioning energy-saving control method, the central air conditioning energy-saving control method comprising: Acquire initial control data, which includes set temperature data and set humidity data; Generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature data and the set humidity data; An air conditioner start message is generated based on the initial cold water operation command and the initial hot water operation command, and real-time indoor and outdoor temperature and humidity are obtained. Based on the real-time indoor and outdoor temperature and humidity, a cold water adjustment command or a hot water adjustment command corresponding to the initial cold water operation command and the initial hot water operation command is generated. Based on the cold water adjustment command or the hot water adjustment command, the operating status of the central air conditioning system is obtained in real time, and an air conditioning operation report is generated based on the operating status of the central air conditioning system.
[0007] In a preferred embodiment, this application can be further configured to: acquire initial control data, wherein the initial control data includes set temperature data and set humidity data, specifically including: Acquire current indoor and outdoor temperature and humidity data and air conditioner on / off position unit, and obtain average personnel flow data based on the air conditioner on / off position unit; The current indoor and outdoor temperature and humidity data and the average data of personnel flow are input into the pre-trained air conditioning start-up control model to obtain the initial control data corresponding to the air conditioning start-up position unit.
[0008] In a preferred embodiment, this application can be further configured such that the training method for the air conditioning start-up control model includes: Obtain the air conditioner installation location, divide the area according to the air conditioner installation location, and obtain the air conditioner on position unit; Obtain the personnel flow data of each air conditioner-on location unit within a preset time period, and calculate the average personnel flow data of each air conditioner-on location unit; Obtain the correlation data of indoor and outdoor temperature and humidity and human comfort temperature and humidity corresponding to each of the air conditioner on-position units; The average personnel flow data and the associated data of each air conditioner start-up location unit are input into the initial model for training to obtain the air conditioner start-up control model.
[0009] In a preferred embodiment, this application can be further configured as follows: generating an air conditioner start message based on the initial chilled water operation command and the initial hot water operation command, acquiring the current indoor and outdoor temperature and humidity in real time, and generating a chilled water adjustment command or hot water adjustment command corresponding to the initial chilled water operation command and the initial hot water operation command based on the current indoor and outdoor temperature and humidity, specifically including: The temperature and humidity fluctuation difference is calculated based on the current indoor and outdoor temperatures and the initial indoor and outdoor temperatures and humidity when the air conditioner start message is triggered. The cold water adjustment command or the hot water adjustment command is generated based on the temperature and humidity fluctuation differences.
[0010] In a preferred embodiment, this application can be further configured such that: generating the cold water adjustment command or the hot water adjustment command based on the temperature and humidity fluctuation difference specifically includes: The temperature and humidity fluctuation differences are compared with a preset threshold. The cold water adjustment command or the hot water adjustment command is generated based on the comparison results.
[0011] In a preferred embodiment, this application can be further configured such that: generating the cold water adjustment command or the hot water adjustment command based on the comparison result specifically includes: When the hot water adjustment command is obtained from the comparison result, the hot water adjustment amount is obtained from the hot water adjustment command; Obtain the pre-stored heat exchange storage capacity, calculate the available heat value based on the heat exchange storage capacity, update the hot water adjustment capacity based on the available heat value, and update the hot water adjustment command based on the update result.
[0012] In a preferred embodiment, this application can be further configured such that, after acquiring the central air conditioning operating status in real time according to the cold water adjustment command or the hot water adjustment command, and generating an air conditioning operation report based on the central air conditioning operating status, the method further includes: The operating time of each refrigeration unit and the operating time of each hot water unit are obtained from the air conditioning operation report. A backup equipment start-up command is generated based on the operating time of the refrigeration equipment and the operating time of the hot water equipment.
[0013] The second objective of this invention is achieved through the following technical solution: A central air conditioning energy-saving control device, characterized in that the central air conditioning energy-saving control device comprises: An initial data acquisition module is used to acquire initial control data, which includes set temperature data and set humidity data. The start control module is used to generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature data and the set humidity data. The temperature control module is used to generate an air conditioner start message based on the initial cold water operation command and the initial hot water operation command, and to obtain real-time indoor and outdoor temperature and humidity, and to generate a cold water adjustment command or a hot water adjustment command corresponding to the initial cold water operation command and the initial hot water operation command based on the real-time indoor and outdoor temperature and humidity. The operation monitoring module is used to obtain the central air conditioning operation status in real time according to the cold water adjustment command or the hot water adjustment command, and generate an air conditioning operation report based on the central air conditioning operation status.
[0014] The above-mentioned objective three of this application is achieved through the following technical solution: A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described central air conditioning energy-saving control method.
[0015] The fourth objective of this application is achieved through the following technical solution: A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described central air conditioning energy-saving control method.
[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. By acquiring personnel flow data and indoor and outdoor temperature and humidity in different areas (air conditioner start-up units), and using a pre-trained air conditioner start-up control model, personalized initial temperature and humidity settings are generated. This method can provide near-optimal initial operating instructions when the air conditioner starts up, based on space usage characteristics and the external environment, avoiding energy waste caused by the traditional method of adjusting from the default state, and achieving energy-saving optimization from the start-up stage; 2. By calculating the fluctuation difference between the current temperature and humidity and the initial values when the air conditioner starts, and comparing it with preset thresholds, the system can distinguish the nature and intensity of environmental disturbances. Based on the comparison results, the system adopts a graded, feedforward adjustment strategy to provide predictive compensation for environmental change trends. This effectively suppresses temperature overshoot and oscillation, reduces frequent equipment start-ups and shutdowns and drastic power fluctuations caused by sudden loads, and further reduces energy consumption while ensuring stable environmental parameters. 3. In heating regulation, the system prioritizes meeting some or all of the instantaneous demand by utilizing the stored heat (accessible heat value) in the heat exchange storage device, achieving peak shaving and valley filling of thermal energy and reducing immediate dependence on primary energy sources. Simultaneously, by balancing the cumulative operating time of each cooling / heating backup device to determine the startup sequence, balanced wear and tear on the equipment is achieved. These two measures together extend the overall lifespan of the equipment, reduce the total lifespan maintenance cost, and improve the system's robustness in responding to demand fluctuations and single-device failures. Attached Figure Description
[0017] Figure 1 This is a flowchart of a central air conditioning energy-saving control method in one embodiment of this application.
[0018] Figure 2 This is a schematic diagram of a central air conditioning energy-saving control device in one embodiment of this application.
[0019] Figure 3 This is a schematic diagram of a device according to one embodiment of this application. Detailed Implementation
[0020] The present application will be further described in detail below with reference to the accompanying drawings.
[0021] In one embodiment, such as Figure 1 As shown, this application discloses a central air conditioning energy-saving control method, which specifically includes the following steps: S10: Acquire initial control data, which includes set temperature data and set humidity data.
[0022] In this embodiment, the initial control data refers to the target indoor temperature and target humidity set when the air conditioner needs to be turned on.
[0023] Specifically, users can set target values (such as temperature 25℃ and humidity 55%) in the "User Parameters" interface, which will serve as the set temperature and humidity data to form the initial control data. Based on this initial control data, the central air conditioning system can be started.
[0024] S20: Generates initial cold water operation command and initial hot water operation command based on the set temperature data and set humidity data.
[0025] In this embodiment, the initial chilled water operation command refers to the command used to control the central air conditioning refrigeration equipment to start operation according to specified parameters. The initial hot water operation command refers to the command used to control the central air conditioning heating equipment to operate according to specified parameters.
[0026] Specifically, after obtaining the set temperature and set humidity data, the output power of the refrigeration or heating equipment when it starts up and reaches a stable operating state is calculated based on the set temperature and humidity data, thereby obtaining the initial cold water operation command and the initial hot water operation command. Since it does not respond from zero, but gives a reasonable initial output command based on the target value, it can shorten the time for the system to reach a stable state and reduce energy consumption fluctuations during the start-up phase.
[0027] In one specific embodiment, the control program within the PLC reads the aforementioned set temperature and humidity data. This set value is then compared with the system's default startup parameters or the stable state parameters before the last shutdown to calculate the initial output required for a smooth system startup from a standstill. For example, based on the deviation between the "set temperature 25℃" and the "current room temperature 30℃," the program uses a simplified proportional algorithm to generate an initial chilled water valve opening command (e.g., 50% opening) and a corresponding "start chilled water circulation pump" command. This command is converted into specific control signals: the analog output (AO) module outputs a 4-20mA signal to the chilled water regulating valve positioner; the digital output (DO) module activates the intermediate relay, controlling the chilled water circulation pump contactor to engage.
[0028] S30: Generate an air conditioning start message based on the initial chilled water operation command and the initial hot water operation command, and obtain real-time indoor and outdoor temperature and humidity. Generate chilled water adjustment command or hot water adjustment command corresponding to the initial chilled water operation command and the initial hot water operation command based on the real-time indoor and outdoor temperature and humidity.
[0029] Specifically, after receiving the initial chilled water operation command and the initial hot water operation command, an air conditioner start-up message is generated to control the corresponding central air conditioning unit to start. Simultaneously, indoor and outdoor temperatures and humidity are monitored in real time using temperature and humidity sensors, thus obtaining the real-time indoor and outdoor temperature and humidity data.
[0030] Furthermore, after acquiring the real-time indoor and outdoor temperatures, the system determines whether to change the operating status of the cooling or heating equipment based on changes in outdoor temperature and humidity. On one hand, it executes the equipment startup logic sequentially, such as opening the valve → delay → starting the water pump. On the other hand, it begins cyclically executing the linkage control adjustment logic for adjusting cooling or heating. The PLC acquires real-time signals (e.g., 4-20mA or 0-10V) from temperature and humidity sensors installed in the controlled area via analog input modules and converts them into engineering values (e.g., 25.5℃, 60%RH). The control program continuously compares the real-time temperature and humidity with the set temperature and humidity and dynamically calculates the output. For example, if the real-time temperature is higher than the set value, the PID algorithm output increases, thereby increasing the AO signal sent to the cold water valve (e.g., from 50% to 70%), generating a cold water adjustment command; if heating is required, the signal sent to the hot water valve or steam solenoid valve is adjusted, generating a hot water adjustment command.
[0031] By continuously sensing the actual environmental conditions, i.e., real-time temperature and humidity, and comparing them with the ideal conditions, i.e., the set temperature and humidity, the system dynamically adjusts the actions of actuators such as cold water valves, hot water valves, and steam valves, i.e., issuing regulation commands. Precise adjustment based on actual load avoids energy waste caused by prolonged operation at fixed power levels, such as overcooling or overheating.
[0032] S40: Based on the cold water adjustment command or hot water adjustment command, obtain the central air conditioning operation status in real time, and generate an air conditioning operation report based on the central air conditioning operation status.
[0033] Specifically, after generating chilled water and hot water adjustment commands based on real-time temperature and humidity, the operating status of the central air conditioning system is acquired in real time, including the start / stop status, operating current, valve opening, and real-time temperature and humidity of the cooling / heating equipment such as fans, water pumps, and main units, as well as other key parameters.
[0034] Furthermore, the operating status of the central air conditioning system is plotted according to different equipment and different types of data to generate an operating status curve, and then an air conditioning operation report is generated.
[0035] In one embodiment, in step S20, initial control data is acquired, which includes set temperature data and set humidity data, specifically including: S21: Obtain current indoor and outdoor temperature and humidity data and air conditioner on / off position unit, and obtain average personnel flow data based on air conditioner on / off position unit.
[0036] In this embodiment, the current indoor and outdoor temperature and humidity data refer to the real-time outdoor temperature and humidity while the central air conditioning system is running continuously. The air conditioning on / off location unit refers to each unit divided by the area where the central air conditioning system is located.
[0037] Specifically, after the central air conditioning system is installed, for example in a hospital, industrial park or office building cluster, after the installation and system setup of the central air conditioning system are completed, the area can be divided according to its function. For example, it can be divided into areas with different indoor temperature and humidity requirements, such as office areas, warehouses, and laboratories, thereby obtaining the air conditioning start position unit.
[0038] Furthermore, after the central air conditioning is turned on, the average data of personnel flow in each air conditioning unit is obtained, that is, the population density, flow, and demand for indoor temperature and humidity at that location are obtained.
[0039] S22: Input the current indoor and outdoor temperature and humidity data and the average data of personnel flow into the pre-trained air conditioning start-up control model to obtain the initial control data corresponding to the air conditioning start-up position unit.
[0040] In this embodiment, the air conditioning start-up control model refers to a pre-trained model used to automatically adjust and control the central air conditioning in a region based on indoor and outdoor temperature and humidity.
[0041] Specifically, after obtaining the current indoor and outdoor temperature and humidity data and the average data of personnel flow of the location unit, the corresponding feature vectors are extracted from the data, including the feature vectors of indoor temperature, indoor humidity, outdoor temperature, outdoor humidity and the average data of personnel flow, so as to obtain the initial control data of the air conditioner start-up location unit from the air conditioner start-up control model.
[0042] In this embodiment, average personnel flow data significantly improves predictive energy efficiency. By analyzing current temperature and humidity, combined with historical population flow patterns, future load changes can be predicted. For example, an hour before shift change, the system can predict an increase in personnel in a certain area, allowing for pre-emptive adjustments to cooling / heating output to avoid energy consumption spikes caused by sudden temperature increases after the influx of people, which would otherwise force the main unit to run at full speed. This "advance preparation, smooth transition" control approach significantly reduces frequent start-ups and peak power consumption of high-power equipment such as main units and water pumps, extending equipment lifespan while achieving deep energy savings.
[0043] In one embodiment, the training method for the air conditioner start-up control model in step S22 includes: S201: Obtain the air conditioner installation location, divide the area according to the air conditioner installation location, and obtain the air conditioner on position unit.
[0044] Specifically, after the central air conditioning system is installed, the specific installation location information is obtained from the construction information, which serves as the installation location of the air conditioner. Further, the air conditioning coverage area, i.e., the area where the central air conditioning system can control indoor temperature and humidity, is obtained based on the installation location. Further, the corresponding area function is obtained based on the area where the central air conditioning system is installed, such as office area, warehouse, and laboratory, and the area is divided according to this function to obtain the air conditioning activation location unit.
[0045] S202: Obtain the personnel flow data of each air conditioner-on location unit within a preset time period, and calculate the average personnel flow data of each air conditioner-on location unit.
[0046] Specifically, personnel flow data for the air-conditioning unit within a certain time period can be obtained through monitoring equipment, time clock equipment, etc. For example, the number of people entering and leaving the area and the number of people staying for a long time within a workday can be used as personnel flow data.
[0047] Furthermore, after obtaining the personnel flow data corresponding to the air conditioner on position unit, the average number of personnel flow in each time unit of the day, such as each hour, is calculated as the average personnel flow data.
[0048] S203: Obtain the correlation data of indoor and outdoor temperature and humidity and human comfort temperature and humidity for each air conditioner on-off unit.
[0049] Specifically, during the model training phase, correlations are established through experiments or historical data mining. For example, on typical days in different seasons, indoor and outdoor temperature and humidity are recorded simultaneously in multiple units, and subjects are asked to fill out real-time thermal sensation votes. Statistical analysis is performed using methods such as linear regression or cluster analysis to establish functional relationships or lookup tables between indoor and outdoor temperature and humidity parameters and target comfortable temperature and humidity for units with different air conditioning on / off positions, serving as correlation data between indoor / outdoor temperature and humidity and human comfortable temperature and humidity.
[0050] S204: Input the average personnel flow data and related data of each air conditioner start-up location unit into the initial model for training to obtain the air conditioner start-up control model.
[0051] Specifically, during model training, the average personnel flow data and related data of each air conditioning start-up location unit are input into the initial model for training. The correlation between the average personnel flow data and the related data of that location unit is obtained, thereby obtaining the air conditioning start-up control model. Understandably, in step S22, when obtaining the initial control data, the air conditioning start-up control model calculates the comfortable indoor temperature and humidity for personnel in that location unit based on the average personnel flow data and the current indoor and outdoor temperature and humidity. Then, combined with the current temperature and humidity, it calculates the amount of temperature and humidity that needs to be adjusted, thus obtaining the initial control data. This ensures that after the central air conditioning in that location unit starts according to the initial control data and reaches a stable operating state, the indoor temperature and humidity match the human comfort temperature and humidity corresponding to that location unit.
[0052] In this embodiment, the air conditioning start-up control model is trained using a common method, thereby improving the accuracy and adaptability of predictive control. By dividing the area and statistically analyzing average personnel flow data, a load characteristic database reflecting spatial heterogeneity and temporal regularity is systematically constructed. Compared to relying on fixed design parameters or rough estimations, training based on historical actual operating data makes the model more closely reflect the actual usage characteristics of the building.
[0053] Secondly, instead of simply setting a fixed value for human comfort (e.g., 26℃), a dynamic correlation model is established by constructing correlation data between indoor and outdoor temperature and humidity and human comfort temperature and humidity. For example, the model may learn that when it is hot outdoors (e.g., 35℃), the acceptable comfortable temperature range for indoor occupants will slightly increase (e.g., 27℃), or that the required temperature will change when humidity is high. By training the correlation between data, the model can generate dynamic setpoints that more closely match actual human sensations. This allows the model to expand the temperature and humidity control range as much as possible while ensuring occupant comfort (e.g., increasing the set temperature from 24℃ to 26℃ within the allowable comfort range), thereby directly reducing the operating load of the cooling unit and significantly improving energy efficiency.
[0054] Furthermore, in this embodiment, by dividing the space into different location units and then constructing indoor and outdoor temperature and humidity and human comfort temperature and humidity in different location units, it is possible to construct corresponding relationships based on the different functions and actual needs of different location units. For example, for laboratories and office areas, data on personnel flow and different needs for indoor temperature and humidity can be used to dynamically meet the indoor temperature and humidity needs of the location unit based on the real-time personnel flow situation and the actual function of the location unit, thereby meeting the overall needs of the central air conditioning system for the entire air conditioning installation location.
[0055] In one embodiment, step S30, namely generating an air conditioner start message based on the initial chilled water operation command and the initial hot water operation command, and acquiring the current indoor and outdoor temperature and humidity in real time, and generating a chilled water adjustment command or hot water adjustment command corresponding to the initial chilled water operation command and the initial hot water operation command based on the current indoor and outdoor temperature and humidity, specifically includes: S31: Calculate the temperature and humidity fluctuation difference based on the current indoor and outdoor temperatures and the initial indoor and outdoor temperatures and humidity when the air conditioner is triggered.
[0056] Specifically, the current indoor and outdoor temperatures obtained in real time are compared with the initial indoor and outdoor temperatures and humidity at the point where the air conditioner starts to obtain the temperature and humidity fluctuation difference.
[0057] S32: Generates cold water or hot water adjustment commands based on temperature and humidity fluctuations.
[0058] Specifically, based on the temperature and humidity fluctuation difference, the trend of outdoor temperature and humidity changes is determined. If the trend is too large, the operation of the central air conditioning needs to be adjusted in time. In order to maintain the indoor temperature and humidity in time when there are large changes in outdoor temperature and humidity, and then generate cold water adjustment command or hot water adjustment command based on the trend of outdoor temperature and humidity changes.
[0059] In this embodiment, refined control of the dynamic adjustment stage enables predictive adjustment based on environmental change trends, improving system stability and energy efficiency. Traditional PID control primarily targets the deviation at the current moment. However, this embodiment utilizes the concept of temperature and humidity fluctuation differences—comparing the current value with the initial value at the time of triggering—to distinguish the nature of load changes and adopt different adjustment strategies. For example, if the temperature and humidity fluctuation difference is small, it indicates a stable environmental load, allowing for gentle fine-tuning to maintain smooth equipment operation and reduce energy consumption from frequent actions. Conversely, if a rapid temperature rise is detected (e.g., due to direct sunlight or sudden equipment startup), even if the current temperature has not yet exceeded the set value, the trend calculated based on the fluctuation difference indicates an impending exceedance. Therefore, the cooling output can be increased gradually and proactively for "feedforward compensation." This avoids adjustment only after the temperature exceeds the limit, eliminating over-adjustment and temperature overshoot, resulting in more stable environmental parameters and smoother equipment operation. Compared to responses based solely on current deviations, this approach better handles sudden loads, reduces control oscillations, and lowers the extra energy required to correct large fluctuations while maintaining control accuracy.
[0060] In one embodiment, step S32, which generates a cold water adjustment command or a hot water adjustment command based on the temperature and humidity fluctuation difference, specifically includes: S321: Compare the temperature and humidity fluctuations with the preset threshold.
[0061] Specifically, a threshold range for temperature and humidity fluctuations is pre-set for each air conditioner start-up location unit. After obtaining the temperature and humidity fluctuation difference of a location unit, the temperature and humidity fluctuation difference is compared with the threshold range to obtain the corresponding comparison result.
[0062] S322: Generate cold water adjustment command or hot water adjustment command based on the comparison results.
[0063] Specifically, if the comparison result shows that the fluctuation difference is less than the threshold range, it is determined that there is no significant fluctuation, no new adjustment instructions are generated, and the current output is maintained. This achieves an energy-saving strategy of not taking action when there are minor fluctuations.
[0064] If the comparison result shows that the fluctuation difference is within the threshold range, it is judged as a medium fluctuation, and a fine-tuning cold water adjustment command or hot water adjustment command is generated. For example, on the basis of the original output, a fixed small increment proportional to the comparison result (such as +5% opening degree) is added. This increment is ensured not to be too large by a limiting function block.
[0065] If the comparison result shows that the fluctuation difference is greater than the threshold range, it is judged as a violent fluctuation, and a large cold water adjustment command or hot water adjustment command is generated. At this time, the proportional gain of the PID controller can be temporarily increased, or a large fixed adjustment amount can be directly output (such as the valve opening being directly increased by 30%), and a rapid cooling / heating mode may be triggered to notify the chiller or heating equipment to increase its output.
[0066] In this embodiment, the system continuously and dynamically adjusts the discretized and regularized logic, thereby achieving a tiered energy-saving response. By using preset thresholds, the system transforms continuous fluctuation differences into clear judgment conditions. For example, a smaller threshold and a larger threshold can be set to form a threshold range. When the fluctuation difference is less than the threshold range, it can be determined as normal, acceptable environmental noise or minor fluctuations. In this case, no adjustment command is generated, effectively preventing unnecessary and energy-consuming minor actions by actuators such as valves and pumps due to measurement noise or minor disturbances, thus improving equipment lifespan and system stability. When the fluctuation difference is within the threshold range, a small-amplitude adjustment command is generated; when the difference exceeds the threshold range, a strong adjustment command is generated. Through this tiered response strategy, the severity of the interference can be precisely matched to the refrigeration / heating equipment, reducing energy waste and improving control performance when outdoor temperature and humidity fluctuate significantly.
[0067] In one embodiment, step S322, which generates a cold water adjustment command or a hot water adjustment command based on the comparison result, specifically includes: S3221: When a hot water adjustment command is obtained from the comparison results, the hot water adjustment amount is obtained from the hot water adjustment command.
[0068] Specifically, when a hot water adjustment command is received, indicating a need for hot water adjustment, the required hot water adjustment amount is parsed from the algorithm, such as PID output or feedforward calculation output. For example, if the requirement is to raise the supply water temperature by 5°C, this is converted into a value of the additional heat power needed. Simultaneously, the temperature sensor values at multiple points in the hot water storage tank are obtained. Using the preheating mechanics formula (Q = c × m × ΔT) and the known tank volume, the available heat in the tank is calculated in real time, which is the requisitionable heat value.
[0069] S3222: Obtain the pre-stored heat exchange storage capacity, calculate the available heat value based on the heat exchange storage capacity, update the hot water adjustment capacity based on the available heat value, and update the hot water adjustment command based on the update result.
[0070] Specifically, by using a pre-installed heat exchange storage device, such as a backup water tank, the backup water tank is heated simultaneously during the hot water supply process. The heat exchange storage capacity is calculated based on the water temperature in the backup water tank, and the available heat value is calculated by combining the volume of water in the backup water tank.
[0071] Furthermore, upon obtaining the available heat value, the original hot water regulation is reduced, that is, the additional output power of the heating equipment to improve the heating effect is reduced, thereby obtaining the updated hot water regulation command.
[0072] In this embodiment, thermal energy scheduling and buffering can be achieved through heat exchange storage, significantly improving the utilization efficiency of low-grade thermal energy and providing an intelligent interface for integrating renewable energy sources (such as solar thermal collection and waste heat recovery). Traditional hot water regulation only determines the immediate output of heating equipment based on current demand, while this embodiment can improve thermal inertia and thermal energy storage capacity. When calculating the hot water regulation amount, the available heat value is first obtained, that is, the available heat stored in the hot water storage tank, building structure, or phase change material. During periods of low hot water demand or when free heat sources are available, the heating equipment can be commanded to operate in a high-efficiency state, storing excess heat in the storage device. When a hot water regulation demand is encountered, the stored heat is used first to meet the demand, rather than immediately starting high-power primary heating equipment (such as electric boilers or gas boilers).
[0073] In one embodiment, after step S40, the central air conditioning energy-saving control method further includes: S50: Obtain the operating time of each refrigeration unit and the operating time of each hot water unit from the air conditioning operation report.
[0074] Specifically, the cumulative operating time data is pre-set for each primary / standby device (e.g., chilled water pump #1, chilled water pump #2). Each time the operating status of the device is acquired, the cumulative operating time is calculated and incremented by the register value in seconds or minutes. When the device stops, the timer stops, thus obtaining t1 (pump #1 time) and t2 (pump #2 time) for each primary / standby device, i.e., the operating time of each chilled water unit and each hot water unit.
[0075] S60: Generates a standby equipment start-up command based on the operating time of the refrigeration equipment and the operating time of the hot water equipment.
[0076] Specifically, when it is necessary to replace the currently operating refrigeration or hot water equipment, such as due to a malfunction, the current operating time reaching a set value, or other reasons, the historical cumulative operating time of each standby device is obtained, i.e., the operating time of the refrigeration equipment and the operating time of the hot water equipment. Further, the device with the shortest refrigeration / hot water operating time is identified, and a device start command is generated to control the standby device with the shortest historical cumulative operating time to start operating before the currently operating refrigeration / heating equipment stops running.
[0077] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0078] In one embodiment, a central air conditioning energy-saving control device is provided, which corresponds one-to-one with the central air conditioning energy-saving control method described in the above embodiments. For example... Figure 2 As shown, the central air conditioning energy-saving control device includes an initial data acquisition module, a start-up control module, a temperature regulation linkage control module, and an operation monitoring module. Detailed descriptions of each functional module are as follows: The initial data acquisition module is used to acquire initial control data, which includes set temperature data and set humidity data. The start control module is used to generate initial cold water operation commands and initial hot water operation commands based on the set temperature data and set humidity data. The temperature control module is used to generate an air conditioner start message based on the initial chilled water working command and the initial hot water working command, and to obtain the real-time indoor and outdoor temperature and humidity. Based on the real-time indoor and outdoor temperature and humidity, it generates chilled water adjustment commands or hot water adjustment commands corresponding to the initial chilled water working command and the initial hot water working command. The operation monitoring module is used to obtain the real-time operating status of the central air conditioning system based on the cold water adjustment command or hot water adjustment command, and generate an air conditioning operation report based on the operating status of the central air conditioning system.
[0079] Optionally, the startup control module includes: The population data acquisition submodule is used to acquire current indoor and outdoor temperature and humidity data and air conditioner on / off location units, and to acquire average population flow data based on the air conditioner on / off location units; The control data generation submodule is used to input the current indoor and outdoor temperature and humidity data and the average data of personnel flow into the pre-trained air conditioning start-up control model to obtain the initial control data corresponding to the air conditioning start-up position unit.
[0080] Optionally, the central air conditioning energy-saving control device also includes: The unit division module is used to obtain the air conditioner installation location, divide the area according to the air conditioner installation location, and obtain the air conditioner on position unit; The unit basic data acquisition module is used to acquire personnel flow data for each air conditioner-on location unit within a preset time period and calculate the average personnel flow data for each air conditioner-on location unit. The associated data acquisition module is used to acquire the associated data of indoor and outdoor temperature and humidity and human comfort temperature and humidity corresponding to each air conditioner on-off unit; The model training module is used to input the average personnel flow data and related data of each air conditioner start-up location unit into the initial model for training, so as to obtain the air conditioner start-up control model.
[0081] Optional, the temperature control module includes: The fluctuation difference calculation submodule is used to calculate the temperature and humidity fluctuation difference based on the current indoor and outdoor temperatures and the initial indoor and outdoor temperatures and humidity when the air conditioner is triggered. The temperature control submodule is used to generate cold water or hot water adjustment commands based on the differences in temperature and humidity fluctuations.
[0082] Optionally, the temperature control submodule includes: The threshold comparison unit is used to compare the temperature and humidity fluctuation differences with a preset threshold. The temperature control unit is used to generate cold water adjustment commands or hot water adjustment commands based on the comparison results.
[0083] Optional, the temperature control unit includes: The adjustment amount acquisition subunit is used to acquire the hot water adjustment amount from the hot water adjustment command when a hot water adjustment command is obtained from the comparison result; The heat exchange subunit is used to obtain the pre-stored heat exchange storage capacity, calculate the available heat value based on the heat exchange storage capacity, update the hot water adjustment capacity based on the available heat value, and update the hot water adjustment command based on the update result.
[0084] Optionally, the central air conditioning energy-saving control device also includes: The runtime acquisition module is used to obtain the runtime of each refrigeration unit and each hot water unit from the air conditioning operation report. The standby equipment start-up control module is used to generate standby equipment start-up commands based on the operating time of the refrigeration equipment and the operating time of the hot water equipment.
[0085] Specific limitations regarding the central air conditioning energy-saving control device can be found in the above description of the central air conditioning energy-saving control method, and will not be repeated here. Each module in the aforementioned central air conditioning energy-saving control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.
[0086] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a central air conditioning energy-saving control method.
[0087] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: Acquire initial control data, which includes set temperature data and set humidity data; Generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature and humidity data; The system generates an air conditioning start message based on the initial chilled water operation command and the initial hot water operation command, and obtains the real-time indoor and outdoor temperature and humidity. Based on the real-time indoor and outdoor temperature and humidity, it generates chilled water adjustment commands or hot water adjustment commands corresponding to the initial chilled water operation command and the initial hot water operation command. Based on the cold water or hot water adjustment command, the central air conditioning operation status is obtained in real time, and an air conditioning operation report is generated based on the central air conditioning operation status.
[0088] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Acquire initial control data, which includes set temperature data and set humidity data; Generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature and humidity data; The system generates an air conditioning start message based on the initial chilled water operation command and the initial hot water operation command, and obtains the real-time indoor and outdoor temperature and humidity. Based on the real-time indoor and outdoor temperature and humidity, it generates chilled water adjustment commands or hot water adjustment commands corresponding to the initial chilled water operation command and the initial hot water operation command. Based on the cold water or hot water adjustment command, the central air conditioning operation status is obtained in real time, and an air conditioning operation report is generated based on the central air conditioning operation status.
[0089] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0090] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0091] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A central air conditioning energy-saving control method, characterized in that, The central air conditioning energy-saving control method includes: Acquire initial control data, which includes set temperature data and set humidity data, specifically including: Acquire current indoor and outdoor temperature and humidity data and air conditioner on / off position unit, and obtain average personnel flow data based on the air conditioner on / off position unit; The current indoor and outdoor temperature and humidity data and the average personnel flow data are input into a pre-trained air conditioning start-up control model to obtain the initial control data corresponding to the air conditioning start-up position unit. The training method for the air conditioning start-up control model includes: Obtain the air conditioner installation location, divide the area according to the air conditioner installation location, and obtain the air conditioner on position unit; Obtain the personnel flow data of each air conditioner-on location unit within a preset time period, and calculate the average personnel flow data of each air conditioner-on location unit; Obtain the correlation data of indoor and outdoor temperature and humidity and human comfort temperature and humidity corresponding to each of the air conditioner on-position units; The average personnel flow data and the associated data of each air conditioner start-up location unit are input into the initial model for training to obtain the air conditioner start-up control model. Generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature data and the set humidity data; An air conditioner start message is generated based on the initial cold water operation command and the initial hot water operation command, and the real-time indoor and outdoor temperature and humidity are obtained. A cold water adjustment command corresponding to the initial cold water operation command or a hot water adjustment command corresponding to the initial hot water operation command is generated based on the real-time indoor and outdoor temperature and humidity. Based on the cold water adjustment command or the hot water adjustment command, the operating status of the central air conditioning system is obtained in real time, and an air conditioning operation report is generated based on the operating status of the central air conditioning system.
2. The central air conditioning energy-saving control method according to claim 1, characterized in that, The process of generating an air conditioner start message based on the initial cold water operation command and the initial hot water operation command, and acquiring the current indoor and outdoor temperature and humidity in real time, and generating a cold water adjustment command or hot water adjustment command corresponding to the initial cold water operation command and the initial hot water operation command based on the current indoor and outdoor temperature and humidity, specifically includes: The temperature and humidity fluctuation difference is calculated based on the current indoor and outdoor temperature and humidity and the initial indoor and outdoor temperature and humidity when the air conditioner start message is triggered; The cold water adjustment command or the hot water adjustment command is generated based on the temperature and humidity fluctuation differences.
3. The central air conditioning energy-saving control method according to claim 2, characterized in that, The step of generating the cold water adjustment command or the hot water adjustment command based on the temperature and humidity fluctuation difference specifically includes: The temperature and humidity fluctuation differences are compared with a preset threshold. The cold water adjustment command or the hot water adjustment command is generated based on the comparison results.
4. The central air conditioning energy-saving control method according to claim 3, characterized in that, The step of generating the cold water adjustment command or the hot water adjustment command based on the comparison result specifically includes: When the hot water adjustment command is obtained from the comparison result, the hot water adjustment amount is obtained from the hot water adjustment command; Obtain the pre-stored heat exchange storage capacity, calculate the available heat value based on the heat exchange storage capacity, update the hot water adjustment capacity based on the available heat value, and update the hot water adjustment command based on the update result.
5. The central air conditioning energy-saving control method according to any one of claims 1-4, characterized in that, After acquiring the central air conditioning operating status in real time according to the cold water adjustment command or the hot water adjustment command, and generating an air conditioning operation report based on the central air conditioning operating status, the method further includes: The operating time of each refrigeration unit and the operating time of each hot water unit are obtained from the air conditioning operation report. A backup equipment start-up command is generated based on the operating time of the refrigeration equipment and the operating time of the hot water equipment.
6. A central air conditioning energy-saving control device, characterized in that, The central air conditioning energy-saving control device includes: The initial data acquisition module is used to acquire initial control data, which includes set temperature data and set humidity data, including: The population data acquisition submodule is used to acquire current indoor and outdoor temperature and humidity data and air conditioner on / off location units, and to acquire average population flow data based on the air conditioner on / off location units; The control data generation submodule is used to input current indoor and outdoor temperature and humidity data and average personnel flow data into a pre-trained air conditioning start-up control model to obtain the initial control data corresponding to the air conditioning start-up position unit, including: The unit division module is used to obtain the air conditioner installation location, divide the area according to the air conditioner installation location, and obtain the air conditioner on position unit; The unit basic data acquisition module is used to acquire personnel flow data for each air conditioner-on location unit within a preset time period and calculate the average personnel flow data for each air conditioner-on location unit. The associated data acquisition module is used to acquire the associated data of indoor and outdoor temperature and humidity and human comfort temperature and humidity corresponding to each air conditioner on-off unit; The model training module is used to input the average and related data of personnel flow in each air conditioner start-up location unit into the initial model for training, so as to obtain the air conditioner start-up control model. The start control module is used to generate initial cold water operation instructions and initial hot water operation instructions based on the set temperature data and the set humidity data. The temperature control module is used to generate an air conditioner start message based on the initial cold water operation command and the initial hot water operation command, and to obtain real-time indoor and outdoor temperature and humidity. Based on the real-time indoor and outdoor temperature and humidity, it generates a cold water adjustment command corresponding to the initial cold water operation command or a hot water adjustment command corresponding to the initial hot water operation command. The operation monitoring module is used to obtain the central air conditioning operation status in real time according to the cold water adjustment command or the hot water adjustment command, and generate an air conditioning operation report based on the central air conditioning operation status.
7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the central air conditioning energy-saving control method as described in any one of claims 1 to 5.
8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the central air conditioning energy-saving control method as described in any one of claims 1 to 5.
Citation Information
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