Heating and ventilation control system and method, computer equipment and storage medium

Abstract

The invention relates to the technical field of heating ventilation air conditioning systems, and discloses a heating ventilation control system and method, computer equipment and a storage medium. The system comprises a detection module used for detecting performance data corresponding to each device in the heating and ventilation device; the input module is used for receiving an input instruction of a user and the performance data sent by the detection module; the energy-saving control module is used for calculating target unit set power corresponding to the heating and ventilation device according to each performance parameter; and the output module is used for receiving the set power of the target unit sent by the energy-saving control module and distributing the set power of the target unit to each device in the heating and ventilation device according to a preset strategy. By implementing the technical scheme, indoor and outdoor temperature information can be automatically collected, the operation mode of the unit can be automatically adjusted, extra manpower expenditure for maintaining the heating and ventilation system is not needed, and the defects of system deviation, lag, insufficient coverage and the like are overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of heating, ventilation, and air conditioning systems, and particularly to a heating and ventilation control system, method, computer device, and storage medium. Background Art

[0002] The main purpose of a heating, ventilation, and air conditioning system (HVAC, i.e., Heating, Ventilation, and Air Conditioning) is to ensure the comfort and health of the internal environment of a building by controlling temperature, humidity, air quality, and air flow.

[0003] Currently, in common HVAC system solutions, the two links of the air handling unit and the air conditioning terminal are relatively independent. In different seasons and environments, when there are new scenarios such as cold / heat sources and adjustment of temperature and humidity requirements, and when the deviation between the heat transfer provided by the unit and the demand is large, no matter how the terminal is adjusted, the expected temperature and humidity cannot be achieved. And the strategy relying on the supply and return water temperature difference adjustment takes a relatively long time to correct this deviation, which will lead to problems such as a decline in environmental comfort and waste of heat transfer during this period. For these problems, the common treatment method is to manually collect abnormal temperature and humidity information and manually adjust the operation mode of the unit. Therefore, additional manpower needs to be invested to maintain the HVAC system, and due to the manual collection method, there are inevitably defects such as deviation, lag, and insufficient coverage. Summary of the Invention

[0004] In view of this, the present invention provides a heating and ventilation control system, method, computer device, and storage medium to solve the problems of increased labor costs and human errors when adjusting temperature through the terminal.

[0005] In a first aspect, the present invention provides a heating and ventilation control system, including: a detection module, including at least one sensor, for detecting the performance data corresponding to each device in the heating and ventilation device; an input module, connected to the detection module, for receiving user input instructions and the performance data sent by the detection module; and for converting the input instructions and performance data into performance parameters of the heating and ventilation device; an energy-saving control module, connected to the input module, for calculating the target unit set power corresponding to the heating and ventilation device according to each performance parameter; and for sending the target unit set power to the output module; an output module, connected to the energy-saving control module, for receiving the target unit set power sent by the energy-saving control module, and distributing the target unit set power to each device in the heating and ventilation device according to a preset strategy.

[0006] The HVAC control system provided by the embodiments of the present invention constructs a dynamic perception network by collecting device performance data in real time through the sensors of the detection module and combining the intelligent conversion of user instructions and data by the input module. The energy-saving control module accurately calculates the target unit power based on multi-dimensional parameters, realizing the intelligent optimization of energy efficiency. The output module relies on the power distribution mechanism of the preset strategy to ensure that the system regulates the operating states of each device as required. The entire system forms a closed-loop control architecture of data collection-intelligent calculation-precise execution, significantly reducing energy consumption while improving the collaborative efficiency of HVAC devices. Its modular design has both user-friendly interaction and system scalability.

[0007] In an optional embodiment, the performance parameters include system control parameters and system monitoring parameters; the input module includes: an instruction parsing sub-module, configured to receive a user input instruction and parse and convert the input instruction into system control parameters, where the system control parameters include the input system start / stop situation, system seasonal working mode, air-conditioning temperature setting value, number of air-conditioning units started, estimated temperature change rate, conversion efficiency, and mode flag bit; the estimated temperature change rate is the preset change rate of the indoor temperature per unit time; the conversion efficiency is the conversion value between heat and electric power; the mode flag bit is used to determine whether the HVAC device is in manual mode or automatic mode; a data receiving sub-module, configured to receive the performance data sent by the detection module and parse and convert the performance data into system monitoring parameters, where the system monitoring parameters include: a fault flag bit, heat pump current, heat pump heating capacity, heat pump cooling capacity, operating time, indoor temperature, outdoor temperature, air-conditioning side water flow, supply and return water temperatures, and water pump power consumption.

[0008] The HVAC control system provided by the embodiments of the present invention constructs a hierarchical and structured data management framework by subdividing the performance parameters into system control parameters and system monitoring parameters. The instruction parsing sub-module accurately converts the user instruction into dynamic control parameters including seasonal mode, temperature setting, temperature change rate, etc., strengthening the adaptability of the system to complex operating scenarios. In particular, by quantifying the energy efficiency relationship through the estimated temperature change rate and conversion efficiency, refined energy consumption regulation is realized. The data receiving sub-module focuses on the real-time status monitoring of the device, integrating multi-dimensional operation data such as current, temperature, and flow and the fault flag bit to form a comprehensive device health profile. The two work together to achieve the parallel processing of control logic and operation data, ensuring the efficient execution of user instructions and mode switching (manual / automatic), and improving the system security and response speed through fault warning and parameter feedback, providing accurate data support for the dynamic optimization of the energy efficiency and reliability of the HVAC system.

[0009] In an alternative embodiment, the performance parameters include the water flow rate on the air-conditioning side, the supply and return water temperatures, the indoor temperature, the air-conditioning temperature set value, the outdoor temperature, the estimated temperature change rate, and the conversion efficiency; the energy-saving control module includes a load prediction sub-module, a state estimation sub-module, a feed-forward calculation sub-module, and a feedback calculation sub-module; the load prediction sub-module is configured to calculate the heating and cooling load requirements of the HVAC device based on the water flow rate on the air-conditioning side and the supply and return water temperatures; the state estimation sub-module is configured to calculate the temperature deviation based on the indoor temperature and the air-conditioning temperature set value, and send the temperature deviation to the feedback calculation sub-module; the feed-forward calculation sub-module is configured to calculate the first unit set power of the HVAC device based on the indoor temperature, the outdoor temperature, the estimated temperature change rate, and the conversion efficiency; the feedback calculation sub-module is configured to calculate the second unit set power of the HVAC device based on the temperature deviation, the estimated temperature change rate, and the conversion efficiency, and determine the target unit set power of the HVAC device as the sum of the first unit set power and the second unit set power.

[0010] The HVAC control system provided by the embodiments of the present invention realizes the dynamic optimization control of the HVAC system through a multi-parameter fusion and hierarchical calculation mechanism. The load prediction sub-module accurately quantifies the heating and cooling load requirements based on the water flow rate and the supply and return water temperatures, providing the core basis for power distribution. The feed-forward calculation sub-module integrates the indoor and outdoor temperatures, the estimated temperature change rate, and the energy efficiency conversion relationship to predict the unit power demand in advance, enhancing the system's ability to anticipate environmental disturbances. The feedback calculation sub-module then adjusts the output power in real time based on the temperature deviation to form a closed-loop regulation. The dual-path superposition strategy of feed-forward and feedback not only ensures the temperature control response speed but also improves the steady-state accuracy through error compensation, effectively balancing energy efficiency and comfort. At the same time, the parameter system covers multi-dimensional variables such as load, environment, and energy efficiency, making the target power calculation have both the accuracy of the physical model and dynamic adaptability, and finally realizing the full-link intelligent decision-making from load perception to power output, significantly improving the system energy efficiency ratio and temperature control stability.

[0011] In an alternative embodiment, the above system further includes: a fault diagnosis module, connected to the input module and the energy-saving control module respectively; the fault diagnosis module is configured to judge the fault status of the HVAC device and each sensor according to each performance parameter, and send the fault status to the input module; when it is determined that at least one sensor fails, the fault diagnosis module is further configured to correct the actual performance parameters of the faulty sensor according to the performance parameters, and send the corrected actual performance parameters to the energy-saving control module, so that the energy-saving control module calculates the actual unit set power corresponding to the HVAC device according to the corrected actual performance parameters; a fault-tolerant control module, connected to the energy-saving control module and the output module respectively; the fault-tolerant control module is configured to determine the available devices in the HVAC device, redistribute the actual unit set power among the available devices, and send the redistribution result to the output module; an observed quantity display module, connected to the input module, for displaying the input instructions and each performance data.

[0012] The HVAC control system provided by the embodiments of the present invention constructs a full-link guarantee system of fault diagnosis - fault tolerance control - visual monitoring. The fault diagnosis module identifies device or sensor anomalies by real-time analyzing performance parameters, and dynamically corrects fault data based on parameter correlation, ensuring that the system can still maintain the continuous operation of the control logic based on reliable data when the sensor fails, significantly improving the system robustness. The fault tolerance control module dynamically reconstructs the available device cluster according to the fault status and optimizes the power distribution strategy to achieve the degraded operation of the system under fault conditions and avoid global shutdown caused by single-point faults. The observable quantity display module enhances the transparency of human-machine interaction and the traceability of operations through visual user instructions and operation data. The three cooperate to form a closed-loop fault tolerance mechanism of "abnormality perception - data repair - resource reorganization - status visualization", which not only ensures the stability and safety of the HVAC system under complex working conditions, but also strengthens the intelligent level of the system through real-time data feedback and adaptive adjustment, realizing the organic unity of high reliability and high energy efficiency.

[0013] In a second aspect, the present invention provides an HVAC control method, which is applied to the HVAC control system in the first aspect or any corresponding embodiment thereof, and includes: detecting the performance data corresponding to each device of the HVAC device through a detection module; receiving the input instructions of the user and the performance data fed back by each sensor through an input module, and converting the input instructions and performance parameters into the performance parameters of the HVAC device; calculating the set power of the target unit corresponding to the HVAC device through an energy-saving control module based on each performance parameter; and distributing the set power of the target unit to each device in the HVAC device according to a preset strategy through an output module.

[0014] The HVAC control method provided by the embodiments of the present invention, based on the real-time acquisition of device performance data by the detection module, combines the dynamic analysis and parameter conversion of user instructions and sensor data by the input module to form an accurate characterization of the system operation state. The energy-saving control module relies on multi-dimensional parameter fusion to calculate the power of the target unit, quantifies the energy efficiency optimization target into an executable power distribution strategy, and ensures that the HVAC device always operates in the optimal energy efficiency range. The output module dynamically distributes power to each device through a preset strategy to achieve on-demand regulation of resources. The whole method takes the closed-loop architecture of "data perception - intelligent decision-making - precise execution" as the core, taking into account user intentions and physical system characteristics, not only strengthening the temperature control response speed and stability through parametric modeling, but also improving the system scalability and anti-interference ability through modular process design, and finally achieving the dual goals of energy conservation and consumption reduction and operation reliability.

[0015] In an alternative embodiment, the energy-saving control module includes a load prediction sub-module, a state estimation sub-module, a feed-forward calculation sub-module, and a feedback calculation sub-module; the performance parameters include the water flow rate on the air-conditioning side, the supply and return water temperatures, the indoor temperature, the air-conditioning temperature set value, the outdoor temperature, the predicted temperature change rate, and the conversion efficiency; based on each performance parameter, the target unit set power corresponding to the HVAC device is calculated through the energy-saving control module, including: through the load prediction sub-module, calculating the heating and cooling load requirements of the HVAC device according to the water flow rate on the air-conditioning side and the supply and return water temperatures; through the state estimation sub-module, calculating the temperature deviation according to the indoor temperature and the air-conditioning temperature set value, and sending the temperature deviation to the feedback calculation sub-module; through the feed-forward calculation sub-module, calculating the first unit set power of the HVAC device according to the indoor temperature, the outdoor temperature, the predicted temperature change rate, and the conversion efficiency; through the feedback calculation sub-module, calculating the second unit set power of the HVAC device according to the temperature deviation, the predicted temperature change rate, and the conversion efficiency, and determining the power after superimposing the first unit set power and the second unit set power as the target unit set power of the HVAC device.

[0016] In the HVAC control method provided by the embodiment of the present invention, the load prediction sub-module calculates the heating and cooling load requirements based on the water flow rate on the air-conditioning side and the supply and return water temperatures, providing a basic load reference for the system operation. The state estimation sub-module calculates and feedbacks the temperature deviation, enabling the system to respond in a timely manner to the difference between the indoor temperature and the set value. The feed-forward calculation sub-module combines the indoor and outdoor temperatures, the predicted temperature change rate, and the conversion efficiency to predict the first unit set power in advance and adapt to environmental changes. The feedback calculation sub-module calculates the second unit set power based on parameters such as the temperature deviation to supplement and correct the feed-forward calculation. Finally, the two are superimposed to determine the target unit set power. This comprehensive feed-forward and feedback control method can effectively improve the energy-saving effect of the HVAC device, ensure the stable operation of the system, and accurately meet the comfort requirements of users.

[0017] In an alternative embodiment, the HVAC control system further includes a fault diagnosis module, and the method further includes: through the fault diagnosis module, judging the fault states of the HVAC device and each sensor according to each performance parameter, and sending the fault states to the input module; when it is determined that at least one sensor fails, through the fault diagnosis module, correcting the actual performance parameters of the faulty sensor according to the performance parameters, and sending the corrected actual performance parameters to the energy-saving control module, so that the energy-saving control module calculates the actual unit set power corresponding to the HVAC device according to the corrected actual performance parameters.

[0018] In the HVAC control method provided by the embodiments of the present invention, the addition of the fault diagnosis module enables the system to accurately judge the fault states of the HVAC device and the sensors based on performance parameters, timely detect potential problems, and avoid the serious impact on the system caused by the expansion of faults. When a sensor fault is detected, the actual performance parameters of the faulty sensor can be corrected using the performance parameters, ensuring the accuracy and reliability of the data input to the energy-saving control module. In this way, the energy-saving control module can calculate the actual unit set power based on the corrected actual performance parameters, ensuring that the system can still operate stably and efficiently in the case of partial sensor faults, improving the fault tolerance and stability of the system, maintaining the normal operation of the energy-saving control function, and reducing energy waste and equipment loss caused by faults.

[0019] In an alternative embodiment, the HVAC control system further includes a fault-tolerant control module and an observable quantity display module, and the method further includes: determining the available devices in the HVAC device through the fault-tolerant control module, and reallocating the actual unit set power among the available devices; and sending the reallocation result to the output module through the fault-tolerant control module; displaying the input instruction and each performance data through the observable quantity display module.

[0020] In the HVAC control method provided by the embodiments of the present invention, through the setting of the fault-tolerant control module, the system can accurately determine the available devices during operation. When device failures and other situations occur, the actual unit set power can be reallocated among the available devices, ensuring that the system can still continue to operate in the case of partial device unavailability, improving the fault tolerance and stability of the system. At the same time, the reallocation result is sent to the output module to ensure that the adjusted power distribution can accurately act on the devices and maintain the efficient operation of the system. The observable quantity display module intuitively displays the input instruction and each performance data, facilitating the user to grasp the system operation status in real time, helping the user to make adjustments and decisions according to the actual situation, and improving the user's control experience and management efficiency of the system.

[0021] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the HVAC control method according to the second aspect or any corresponding embodiment thereof.

[0022] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the HVAC control method according to the second aspect or any corresponding embodiment thereof. Description of the Drawings

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 is a schematic structural diagram of a heating, ventilation, and air conditioning (HVAC) control system according to an embodiment of the present invention;

[0025] Figure 2 is a schematic structural diagram of another HVAC control system according to an embodiment of the present invention;

[0026] Figure 3 is a schematic structural diagram of yet another HVAC control system according to an embodiment of the present invention;

[0027] Figure 4 is a schematic structural diagram of still another HVAC control system according to an embodiment of the present invention;

[0028] Figure 5 is a schematic structural diagram of another HVAC control system according to an embodiment of the present invention;

[0029] Figure 6 is a schematic flowchart of an HVAC control method according to an embodiment of the present invention;

[0030] Figure 7 is a schematic flowchart of another HVAC control method according to an embodiment of the present invention;

[0031] Figure 8 is a schematic flowchart of yet another HVAC control method according to an embodiment of the present invention;

[0032] Figure 9 is a schematic hardware structure diagram of a computer device according to an embodiment of the present invention. Specific Embodiments

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0034] The main purpose of a Heating, Ventilation, and Air Conditioning (HVAC) system is to ensure the comfort and health of the indoor environment of a building, which is achieved by controlling temperature, humidity, air quality, and air flow.

[0035] Currently, in common HVAC system solutions, the air handling unit and the terminal air conditioning are relatively independent. In different seasons and environments, when there are new scenarios such as adding cold / heat sources and adjusting temperature and humidity requirements, if the deviation between the heat transfer provided by the unit and the demand is large, the terminal cannot reach the expected temperature and humidity no matter how it is adjusted. And the strategy relying on the supply and return water temperature difference adjustment takes a relatively long time to correct this deviation, which will lead to problems such as a decline in environmental comfort and waste of heat transfer during this period. For these problems, the common treatment method is to manually collect abnormal temperature and humidity information and manually adjust the operation mode of the unit. Therefore, additional manpower needs to be invested to maintain the HVAC system, and due to the manual collection method, there are inevitably defects such as deviation, lag, and insufficient coverage.

[0036] In view of this, the HVAC control system of the technical solution of the present invention can automatically collect indoor and outdoor temperature information and automatically adjust the operation mode of the unit, without the need for additional manpower expenditure to maintain the HVAC system, overcoming defects such as system deviation, lag, and insufficient coverage.

[0037] In this embodiment, an HVAC control system is provided, as Figure 1 shown. The HVAC control system includes: a detection module 1, an input module 2, an energy-saving control module 3, and an output module 4.

[0038] The detection module 1 includes at least one sensor and a processing module connected to each sensor. When the data collected by the sensor is processed by the connected processing module, it serves as the performance data corresponding to each device in the HVAC device.

[0039] Among them, the sensors can include current sensors, temperature sensors, pressure sensors, operation time sensors (timers), flow sensors, and power sensors, which are not limited herein.

[0040] The input module 2 is connected to the detection module 1 and is used to receive the user's input instructions and the performance data sent by the detection module 1. Among them, the user's input instructions can be input by the user on the display module corresponding to the HVAC device or on the terminal corresponding to the HVAC device, which is not limited herein.

[0041] The input module 2 is also used to convert input instructions and performance data into performance parameters of the HVAC device. Specifically, the input instructions and performance data can be calculated or compared with thresholds to determine the performance parameters of the HVAC device. For example, when the performance parameter is the power consumption of the water pump, the data collected by the power sensor and the current sensor are calculated to obtain the power consumption of the water pump. For example, when the performance parameter is the cooling / heating of the heat pump, the data collected by the temperature sensor and the pressure sensor are compared with the thresholds, and the working state of the heat pump is monitored by the threshold comparison result, so as to know whether it is currently in the cooling or heating state.

[0042] The energy-saving control module 3 is connected to the input module 2 and is used to calculate the target unit setting power corresponding to the HVAC device according to various performance parameters. The target unit setting power refers to the output power value set by the HVAC device under a specific operating state, which is used to characterize the cooling or heating capacity provided by the unit during operation.

[0043] The energy-saving control module 3 is also used to send the target unit set power to the output module to guide the relevant equipment in the system, such as heat pumps, refrigeration units, etc., to adjust their operating status to ensure that the system can effectively meet the current load demand and operate under the premise of saving energy as much as possible.

[0044] The output module 4 is connected to the energy-saving control module 3 and is used for receiving the target unit setting power sent by the energy-saving control module 3 .

[0045] The output module 4 includes a distribution controller, which reasonably distributes the target unit set power to different devices according to the system design and preset strategies to achieve balanced operation and optimal performance of the entire system, to ensure that each device in the system can operate according to the set target power, thereby coordinating the relationship between the various components in the system and improving the overall efficiency and energy-saving performance of the system.

[0046] The preset strategy may be a minimum switching cost strategy. The minimum switching cost strategy means that when the system switches between different working states or parameter configurations, it tries to achieve the minimum cost, that is, avoid frequent state switching and adjustment to reduce the maintenance and adjustment cost of system operation.

[0047] Specifically, after determining the set power of the target unit, for each device, its characteristics such as startup time, shutdown time, and working stability need to be considered for reasonable allocation. For the switching between different devices, the switching cost needs to be evaluated, including factors such as energy loss and the changes in cooling and heating loads caused by device startup and shutdown. These costs can be quantified as the energy consumption of switching or the additional energy consumption related to device startup and shutdown. On the basis of considering the switching cost, through an optimization algorithm or a scheduling strategy, the set power of the unit is allocated to different devices according to the principle of minimum switching cost. This can minimize the number of switchings and energy loss and improve the energy utilization efficiency.

[0048] The HVAC control system provided by the embodiment of the present invention constructs a dynamic perception network by the sensors of the detection module to collect device performance data in real time and combines the intelligent conversion of user instructions and data by the input module. The energy-saving control module accurately calculates the power of the target unit based on multi-dimensional parameters and realizes the intelligent optimization of energy efficiency. The output module relies on the power distribution mechanism of the preset strategy to ensure that the system regulates the operating states of each device as required. The whole system forms a closed-loop control architecture of data collection-intelligent calculation-precise execution, which significantly reduces energy consumption while improving the collaborative efficiency of HVAC devices. Its modular design has both user interaction friendliness and system scalability.

[0049] In this embodiment, an HVAC control system is provided, as Figure 2 shown. The input module 2 includes an instruction parsing sub-module 201 and a data receiving sub-module 202. The performance parameters include system control parameters and system monitoring parameters.

[0050] The instruction parsing sub-module 201 is used to receive the input instructions of the user and is used to parse and convert the input instructions into system control parameters.

[0051] Among them, the system control parameters are the parameters parsed and converted according to the input instructions. Specifically, the input instructions of the user can be received through a human-computer interaction interface, voice recognition, etc., and then the input instructions of the user are parsed through technologies such as natural language processing and text analysis to identify the system control parameters contained therein.

[0052] Among them, the system control parameters may include the input system startup and shutdown conditions, the system seasonal working mode, the air-conditioning temperature set value, the number of air-conditioning units started, the estimated temperature change rate, the conversion efficiency, and the mode flag bit, but are not limited thereto.

[0053] Among them, the estimated temperature change rate is the change rate of the preset indoor temperature per unit time. The estimated temperature change rate can be set by the user himself or can be the temperature change rate estimated by methods such as mathematical models, physical models, or machine learning algorithms after obtaining system parameters and external environment data, and is not limited herein.

[0054] Among them, the conversion efficiency is the ratio between the input energy and the output energy during the energy conversion or transmission process. For the conversion between heat and electric power, the conversion efficiency represents the efficiency that can be achieved by converting unit heat into unit electric power.

[0055] Among them, the mode flag bit is used to determine whether the HVAC device is in the manual mode or the automatic mode. Specifically, the mode flag bit defaults to 0 and is operated by the automated program control system. When the mode flag bit is 1, the manual takeover mode is entered. At this time, the automated program is blocked and terminated, and the system executes the inputs configured manually on the operation panel.

[0056] The data receiving sub-module 202 is used to receive the performance data sent by the detection module 1 and to parse and convert the performance data into system monitoring parameters.

[0057] Among them, the system monitoring parameters are the parameters obtained by parsing and converting the performance data fed back by each sensor. Specifically, after receiving the performance data, the system can use data processing and analysis techniques to parse the performance data and identify the key information contained therein, such as performance indicators like temperature, pressure, current, etc. When the performance data is parsed, the system can convert these data into system monitoring parameters through operations such as mathematical calculations and logical judgments.

[0058] Among them, the system monitoring parameters include: a fault flag bit, a heat pump current, a heat pump heating capacity, a heat pump cooling capacity, an operating time, an indoor temperature, an outdoor temperature, a water flow rate on the air-conditioning side, a supply and return water temperature, and a water pump power consumption.

[0059] For example, the magnitude of the heat pump current can be measured through the performance data fed back by the current sensor. The operating state of the heat pump can be monitored through the performance data fed back by the temperature sensor and the pressure sensor, so as to know whether it is currently in the cooling or heating state. The magnitude of the water flow rate on the air-conditioning side can be monitored through the performance data fed back by the flow sensor.

[0060] The HVAC control system provided by the embodiments of the present invention constructs a hierarchical and structured data management framework by subdividing performance parameters into system control parameters and system monitoring parameters. The instruction parsing sub-module accurately converts user instructions into dynamic control parameters including season mode, temperature setting, temperature change rate, etc., enhancing the system's adaptability to complex operating scenarios. In particular, by estimating the temperature change rate and conversion efficiency to quantify the energy efficiency relationship, refined energy consumption regulation is achieved. The data receiving sub-module focuses on monitoring the real-time status of equipment, integrating multi-dimensional operating data such as current, temperature, and flow rate with fault flag bits to form a comprehensive health profile of the equipment. The two cooperate to achieve dual-track parallel processing of control logic and operating data, ensuring both the efficient execution of user instructions and mode switching (manual / automatic), and improving the system's safety and response speed through fault warning and parameter feedback, providing accurate data support for dynamically optimizing the energy efficiency and reliability of the HVAC system.

[0061] In this embodiment, an HVAC control system is provided, as Figure 3 shown, the energy-saving control module 3 includes a load prediction sub-module 301, a state estimation sub-module 302, a feed-forward calculation sub-module 303, and a feedback calculation sub-module 304.

[0062] The load prediction sub-module 301 is used to calculate the cooling and heating load requirements of the HVAC device based on the water flow rate on the air-conditioning side and the supply and return water temperatures for use by the feedback calculation sub-module 304.

[0063] Among them, the cooling and heating load requirements refer to the cooling or heating energy that the system needs to supply under specific conditions to meet the requirements of indoor comfort conditions. Specifically, after obtaining the water flow rate on the air-conditioning side and the supply and return water temperatures through sensor monitoring or system recording, the corresponding heat load calculation formula is used to calculate the cooling load requirements and heating load requirements of the system.

[0064] The state estimation sub-module 302 is used to calculate the temperature deviation based on the indoor temperature and the air-conditioning temperature set value and send the temperature deviation to the feedback calculation sub-module 304.

[0065] Specifically, the state estimation sub-module 302 can estimate the overall temperature distribution in the current room based on the temperatures of several measuring points distributed in the room to obtain the indoor temperature. Combining the air-conditioning temperature set value set by the user on the indoor area panel, the temperature deviation between the indoor temperature and the air-conditioning temperature set value is calculated and sent to the feedback calculation sub-module 304.

[0066] The feed-forward calculation sub-module 303 is used to calculate the first unit set power of the HVAC device based on the indoor temperature, outdoor temperature, estimated temperature change rate, and conversion efficiency.

[0067] Specifically, the feedforward calculation sub-module 303 calculates the heat exchange amount and heat exchange power that the system needs to provide under ideal conditions based on the measured indoor and outdoor temperatures and the estimated load, and then estimates the first unit set power of the refrigeration / heating unit. This design combines the operating states of two parts of the system, namely the refrigeration / heating unit and the air-conditioning terminal, with the heat exchange amount requirement, making the operation of the entire management system more coordinated, reducing energy waste, and accelerating the response speed of the system when the heat exchange demand changes.

[0068] The feedback calculation sub-module 304 is used to calculate the second unit set power of the HVAC device according to the temperature deviation between the indoor temperature and the air-conditioning temperature set value, the estimated temperature change rate, and the conversion efficiency.

[0069] Specifically, the feedback calculation sub-module 304 calculates the heat exchange amount and heat exchange power that the system needs to provide under actual conditions based on the current indoor temperature, the air-conditioning temperature set value, and the estimated load, and then estimates the second unit set power of the refrigeration / heating unit.

[0070] The feedback calculation sub-module 304 is also used to determine the target unit set power of the HVAC device as the sum of the first unit set power and the second unit set power, so as to correct the error caused by deviating from the ideal working condition during actual operation and ensure that the environmental temperature and humidity meet the expected settings.

[0071] The HVAC control system provided by the embodiment of the present invention realizes the dynamic optimization control of the HVAC system through a multi-parameter fusion and hierarchical calculation mechanism. The load estimation sub-module accurately quantifies the cooling and heating load requirements based on the water flow rate and the supply and return water temperatures, providing the core basis for power distribution. The feedforward calculation sub-module integrates the indoor and outdoor temperatures, the estimated temperature change rate, and the energy efficiency conversion relationship, predicts the unit power demand in advance, and enhances the system's ability to predict environmental disturbances. The feedback calculation sub-module then corrects the output power in real time through the temperature deviation to form a closed-loop regulation. The dual-path superposition strategy of feedforward and feedback not only ensures the temperature control response speed but also improves the steady-state accuracy through error compensation, effectively balancing energy efficiency and comfort. At the same time, the parameter system covers multi-dimensional variables such as load, environment, and energy efficiency, making the target power calculation have both the accuracy of the physical model and the dynamic adaptability, and finally realizing the full-link intelligent decision-making from load perception to power output, significantly improving the system energy efficiency ratio and temperature control stability.

[0072] In this embodiment, an HVAC control system is provided, as Figure 4 shown, the system further includes a fault diagnosis module 5 and a fault tolerance control module 6.

[0073] The fault diagnosis module 5 is respectively connected to the input module 2 and the energy-saving control module 3.

[0074] The fault diagnosis module 5 is used to judge the fault status of the HVAC device and each sensor according to each performance parameter, and send the fault status to the input module 2.

[0075] The fault diagnosis module 5 judges the fault conditions of the sensors and HVAC equipment according to the current measured values fed back by the temperature sensor, pressure sensor and flow sensor, as well as the start-stop status of the water pump, the water pump power and the start-stop status of the unit. Specifically, the fault condition of the HVAC equipment can be directly judged through the fault flag bit, the fault condition of the water pump can be judged according to the measured flow rate of the front and rear measuring points, and the flow sensor, temperature sensor and pressure sensor can be judged by comparing with other nearby sensors.

[0076] When it is recognized that various known types of limited errors of the sensor increase, the fault diagnosis module 5 will identify the type of error and correct it, and provide the corrected measured value to the energy-saving control module 3. Among them, the known types of limited errors include sensor drift, increased noise, decreased sensitivity, etc., but are not limited to this. Among them, when the limited error is within a certain range, it can still be corrected to a limited error through an algorithm, and if it exceeds this range and cannot be corrected, it does not belong to a limited error. Among them, the correction of the data fed back by the sensor can be carried out by comparing the data in the normal state at the initial stage of sensor installation, or by correcting according to the data of multiple sensors at surrounding measuring points.

[0077] When it is recognized that a large error of unknown cause increases in the sensor, the fault diagnosis module 5 will prompt to use other measured values for replacement according to the type of the sensor.

[0078] When it is recognized that there are obvious faults in the sensor or equipment that affect the system operation and cannot be avoided, the fault diagnosis will issue a warning and input it to the fault-tolerant control module 6 for processing. Among them, the faults that have obvious effects on the system operation and cannot be avoided may include chiller faults, water pump faults at multiple important sites, flow sensor faults at multiple important sites, temperature sensor faults at multiple important sites, serious blockage or leakage in the pipeline, etc., but are not limited to this.

[0079] The fault-tolerant control module 6 is respectively connected to the energy-saving control module 3 and the output module 4.

[0080] The fault-tolerant control module 6 is used to determine the available equipment in the HVAC device and reallocate the actual unit set power among the available equipment. Specifically, when there is at least one equipment fault in the HVAC device, such as a sensor, the fault-tolerant control module 6 determines the normally operating equipment as available equipment, and reallocates the actual unit set power among the available equipment, and re-enables the equipment after the corresponding faulty equipment is fault-free.

[0081] When a serious fault that cannot be automatically processed is recognized, such as a fault in the HVAC device, the fault-tolerant control module 6 will control the HVAC device to shut down and manual intervention is required for recovery.

[0082] The fault-tolerant control module 6 is also used to send the reallocation result to the output module 4.

[0083] In this embodiment, an HVAC control system is provided. As Figure 5 shown, the system further includes an observed variable display module 7.

[0084] The observed variable display module 7 is connected to the input module 2.

[0085] The observed variable display module 7 is used to display the input instructions and various performance data so that the user can monitor and understand the operating state and performance parameters of the system in real time. Among them, the observed variable display module 7 can be a control panel, a monitoring screen, etc., but is not limited thereto.

[0086] The HVAC control system provided by the embodiment of the present invention constructs a full-link guarantee system of fault diagnosis - fault tolerance control - visual monitoring. The fault diagnosis module identifies device or sensor anomalies by real-time analyzing performance parameters, and dynamically corrects fault data based on parameter correlation to ensure that the system can still maintain continuous operation of the control logic based on reliable data when the sensor fails, significantly improving the system robustness. The fault-tolerant control module dynamically reconstructs the available device cluster according to the fault state and optimizes the power distribution strategy to realize the degraded operation of the system under fault conditions and avoid global shutdown caused by single-point faults. The observed variable display module enhances the transparency of human-machine interaction and the traceability of operations by visualizing user instructions and operation data. The three cooperate to form a closed-loop fault tolerance mechanism of "abnormality perception - data repair - resource reorganization - state visualization", which not only ensures the stability and safety of the HVAC system under complex working conditions, but also strengthens the intelligent level of the system through real-time data feedback and adaptive adjustment, realizing the organic unity of high reliability and high energy efficiency.

[0087] Further, the measurement, calculation and execution processes of the above HVAC control system are specified under a certain operation time sequence cycle, and the setting of the time sequence cycle needs to consider multiple factors. Among them, the multiple factors can include: the response time of the device and the ideal switching frequency range of the device; the temperature change rate of the HVAC environment; the time for single-step operation of the program and the collection duration of the data required for a single calculation; the interruption maintenance mechanism when faults occur in each link, but is not limited thereto.

[0088] Among them, the response time and switching frequency of the device come from the usage instructions of each device. For example, the chiller has the shortest response time for a set cooling capacity, and the interval between two adjustments of the cooling capacity setting must be greater than this response time.

[0089] Secondly, the temperature change rate of the HVAC environment can be collected from temperature sensors.

[0090] Thirdly, the time for the program to run step by step needs to be greater than the maximum period of actuator switching and less than the shortest period of temperature change.

[0091] According to an embodiment of the present invention, an embodiment of an HVAC control method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0092] In this embodiment, an HVAC control method is provided for the above-mentioned HVAC control system. Figure 6 It is a flowchart of the HVAC control method according to an embodiment of the present invention, as Figure 6 shown, and this process includes the following steps:

[0093] Step S101, detecting the performance data corresponding to each device in the HVAC device through a detection module.

[0094] Specifically, various data of the HVAC device are monitored in real time by controlling at least one sensor included in the detection module 1, such as heat pump current, ambient temperature, running time, water flow on the air-conditioning side, and water pump power, etc. After these data are collected by the sensors, they will be transmitted to the connected processing module for processing and analysis. The processing module is responsible for interpreting, calculating, and storing the collected data, and finally generating the performance data of each device in the HVAC device.

[0095] Step S102, receiving the input instructions of the user and the performance data sent by the detection module through an input module, and converting the input instructions and performance data into performance parameters of the HVAC device.

[0096] Specifically, the input module 2 is controlled to process the received input instructions and performance data to obtain the performance parameters of the HVAC device. For example, when the user inputs a request to query the power consumption of the water pump, the input module 2 will calculate based on the data collected by the power sensor and current sensor received to determine the power consumption of the water pump. Similarly, when the user needs to understand the cooling or heating state of the heat pump, the input module 2 will compare the data collected by the temperature sensor and pressure sensor with a threshold value, so as to monitor the working state of the heat pump and determine whether it is currently in the cooling or heating state.

[0097] Step S103, calculating the set power of the target unit corresponding to the HVAC device based on each performance parameter through an energy-saving control module.

[0098] Specifically, the energy-saving control module 3 analyzes various performance parameters transmitted from the input module 2 to calculate the target unit set power that is most suitable for the current operating state. After calculating the target unit set power, the control energy-saving control module 3 sends the target unit set power to the output module 4 to guide relevant devices in the system, such as heat pumps, refrigeration units, etc., to adjust their operating states to ensure that the system can effectively meet the current load demand. At the same time, by dynamically adjusting the operating states and power outputs of the devices, the system can provide sufficient cooling or heating capacity on the premise of saving energy, thereby achieving the maximization of energy efficiency and the minimization of energy consumption.

[0099] Step S104, the output module distributes the target unit set power to each device in the HVAC device according to a preset strategy.

[0100] Specifically, by controlling the distribution controller included in the output module 4, it is determined how to distribute the target power to each device in the HVAC device, such as heat pumps, refrigeration units, etc., according to the system design and preset strategies.

[0101] The HVAC control method provided by the embodiments of the present invention is based on the detection module to collect device performance data in real time, combines the dynamic parsing and parameter conversion of user instructions and sensor data by the input module to form an accurate representation of the system operating state. The energy-saving control module relies on multi-dimensional parameter fusion to calculate the target unit power, quantifies the energy efficiency optimization target into an executable power distribution strategy, and ensures that the HVAC device always operates in the optimal energy efficiency range. The output module dynamically distributes power to each device through a preset strategy to achieve on-demand regulation of resources. The entire method takes the closed-loop architecture of "data perception-intelligent decision-making-precise execution" as the core, taking into account user intentions and physical system characteristics, not only strengthening the temperature control response speed and stability through parametric modeling, but also enhancing the system scalability and anti-interference ability through modular process design, and finally achieving the dual goals of energy conservation and consumption reduction and operation reliability.

[0102] In this embodiment, an HVAC control method is provided for the above HVAC control system. Figure 7 It is a flowchart of the HVAC control method according to the embodiments of the present invention, as Figure 7 shown, and this process includes the following steps:

[0103] Step S201, the detection module detects the performance data corresponding to each device in the HVAC device. For details, please refer to Figure 1 the steps of the embodiment shown in Step S101, which will not be elaborated here.

[0104] Step S202, the input module receives the input instructions of the user and the performance data sent by the detection module, and converts the input instructions and performance data into the performance parameters of the HVAC device. For details, please refer to Figure 1Step S102 of the illustrated embodiment will not be elaborated herein.

[0105] Step S203: Based on each performance parameter, calculate the target unit set power corresponding to the HVAC device through the energy-saving control module.

[0106] Specifically, the above step S203 includes:

[0107] Step S2031: Through the load prediction sub-module, calculate the heating and cooling load demands of the HVAC device according to the water flow rate on the air-conditioning side and the supply and return water temperatures.

[0108] Specifically, according to the water flow rate on the air-conditioning side and the supply and return water temperatures sent by the input module 2, control the load prediction sub-module 301 to calculate the cooling load demand and heating load demand of the system using the corresponding heat load calculation formula.

[0109] Step S2032: Through the state estimation sub-module, calculate the temperature deviation according to the indoor temperature and the air-conditioning temperature set value, and send the temperature deviation to the feedback calculation sub-module.

[0110] Specifically, control the state estimation sub-module 302 to calculate the temperature deviation between the actual indoor temperature and the air-conditioning set temperature in combination with the air-conditioning temperature set value set by the user on the indoor area panel. This temperature deviation reflects the difference between the current indoor temperature and the user's desired air-conditioning set temperature, which can help the system understand whether the indoor temperature reaches the user's expectation and guide the system to adjust the operating state of the HVAC device to achieve a more comfortable indoor environment. After calculating the temperature deviation, control the state estimation sub-module 302 to send the temperature deviation to the feedback calculation sub-module 304, and the system can realize real-time monitoring and control of the indoor temperature situation.

[0111] Step S2033: Through the feedforward calculation sub-module, calculate the first unit set power of the HVAC device according to the indoor temperature, outdoor temperature, predicted temperature change rate, and conversion efficiency.

[0112] Specifically, according to the indoor temperature, outdoor temperature, predicted temperature change rate, and conversion efficiency, control the feedforward calculation sub-module 303 to calculate the heat exchange amount and heat exchange power that the system needs to provide under ideal conditions, so as to deduce the first unit set power of the refrigeration / heating unit.

[0113] For example, first use the formula Q = Cm△T to calculate the required heat. Where Q represents the required heat, Cm is the specific heat capacity of water (unit: J / (kg℃)), and △T is the difference between the indoor temperature and the outdoor temperature.

[0114] Secondly, calculate the temperature change time t through the predicted temperature change rate and the difference between the indoor temperature and the outdoor temperature.

[0115] Then, based on the calculated required heat Q and the temperature change time t, the heat that needs to be transferred per unit time, i.e., the heat exchange power, can be obtained. For example, if the required heat is 5000 J and the temperature change time is 30 min, then the heat exchange power is 5000 J / 30 min = 166.67 J / min.

[0116] Finally, the set power of the first unit is obtained according to the conversion efficiency. The heat exchange power refers to the heat that the air-conditioning equipment needs to transfer to water, while the set power of the unit refers to the electric power that the air-conditioning equipment needs to consume. Therefore, the conversion efficiency of the equipment needs to be considered. For example, if the conversion efficiency of the equipment is 0.8, then the set power of the first unit is 166.67 J / min / 0.8 = 208.33 W.

[0117] Step S2034: Through the feedback calculation sub-module, calculate the set power of the second unit of the HVAC device according to the temperature deviation, the estimated temperature change rate, and the conversion efficiency, and determine the target set power of the HVAC device as the power after superimposing the set power of the first unit and the set power of the unit.

[0118] Specifically, according to the temperature deviation, the estimated temperature change rate, and the conversion efficiency, control the feedback calculation sub-module 304 to calculate the actual heat exchange amount and heat exchange power that the system needs to provide, so as to deduce the set power of the second unit of the refrigeration / heating unit.

[0119] Furthermore, through the control feedback calculation sub-module 304, superimpose the set power of the first unit and the set power of the second unit, and determine it as the target set power of the HVAC device. The setting of this target power aims to correct the error caused by the possible deviation from the ideal working condition in actual operation, and ensure that the system can maintain the environmental temperature and humidity in line with the expected settings during operation.

[0120] Step S204: Through the output module, distribute the target set power to each device in the HVAC device according to the preset strategy. For details, please refer to Figure 1 Step S104 of the illustrated embodiment, which will not be elaborated here.

[0121] In the embodiment of the present invention, for the HVAC control method, the load prediction sub-module calculates the heating and cooling load requirements based on the water flow rate on the air-conditioning side and the supply and return water temperatures, providing a basic load reference for the system operation. The state estimation sub-module calculates the temperature deviation and feeds it back, enabling the system to promptly respond to the difference between the indoor temperature and the set value. The feed-forward calculation sub-module combines the indoor and outdoor temperatures, the predicted temperature change rate, and the conversion efficiency to predict the set power of the first unit in advance, adapting to environmental changes. The feedback calculation sub-module calculates the set power of the second unit based on parameters such as the temperature deviation, supplementing and correcting the feed-forward calculation. Finally, the two are superimposed to determine the set power of the target unit. This comprehensive feed-forward and feedback control method can effectively improve the energy-saving effect of the HVAC device, ensure the stable operation of the system, and accurately meet the comfort requirements of users.

[0122] In this embodiment, an HVAC control method is provided, which can be used for HVAC devices. Figure 8 It is a flowchart of the HVAC control method according to the embodiment of the present invention, as Figure 8 shown. The process includes the following steps:

[0123] Step S301, the detection module detects the performance data corresponding to each device in the HVAC device. For details, please refer to Figure 1 Step S101 of the embodiment shown, which will not be elaborated here.

[0124] Step S302, the input module receives the user's input instructions and the performance data sent by the detection module, and converts the input instructions and performance data into the performance parameters of the HVAC device. For details, please refer to Figure 1 Step S102 of the embodiment shown, which will not be elaborated here.

[0125] Step S303, based on each performance parameter, the energy-saving control module calculates the set power of the target unit corresponding to the HVAC device. For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here.

[0126] Step S304, through the fault diagnosis module, according to each performance parameter, judge the fault status of the HVAC device and each sensor, and send the fault status to the input module.

[0127] According to each performance parameter, the fault diagnosis module 5 is controlled to determine whether there are faults in the HVAC device and each sensor, and the fault status is sent to the input module. Specifically, the fault diagnosis module 5 is controlled to judge the fault conditions of the sensors and HVAC equipment according to the current measured values fed back by the temperature sensor, pressure sensor and flow sensor, as well as the start / stop status of the water pump, the water pump power and the start / stop status of the unit. For example, whether there is a fault in the HVAC equipment can be directly judged by checking the fault flag bit, and the fault condition of the water pump can be judged by comparing the measured flow before and after. The flow sensor, temperature sensor and pressure sensor can judge whether there is a fault by comparing with other nearby sensors.

[0128] In one implementation, the above step S304 includes:

[0129] Step a1, through the fault diagnosis module, correct the actual performance parameters of the faulty sensor according to the performance parameters, and send the corrected actual performance parameters to the energy-saving control module.

[0130] Specifically, when the fault diagnosis module 5 detects that a certain sensor is faulty, the fault diagnosis module 5 is controlled to correct the actual performance parameters of the faulty sensor according to other reliable sensor data or the system operation conditions. For example, the possible true value of the faulty sensor can be inferred by comparing with other sensors, or the data of the faulty sensor can be corrected and modified through a certain algorithm.

[0131] Specifically, the fault diagnosis module 5 is controlled to send the corrected actual performance parameters to the energy-saving control module 3 to ensure that the system can still operate effectively in case of faults and corresponding energy-saving measures can be taken.

[0132] Step a2, through the energy-saving control module, calculate the actual unit set power corresponding to the HVAC device according to the corrected actual performance parameters.

[0133] Specifically, the energy-saving control module 3 is controlled to use the corrected actual performance parameters as input, and combine with the operation requirements of the system to calculate the actual unit set power required by the HVAC device through a certain algorithm or strategy.

[0134] In the HVAC control method provided by the embodiments of the present invention, the addition of the fault diagnosis module enables the system to accurately judge the fault states of the HVAC device and sensors based on performance parameters, timely detect potential problems, and avoid the serious impact of fault expansion on the system. When a sensor fault is detected, the actual performance parameters of the faulty sensor can be corrected using the performance parameters, ensuring the accuracy and reliability of the data input to the energy-saving control module. In this way, the energy-saving control module can calculate the actual unit set power based on the corrected actual performance parameters, ensuring the stable and efficient operation of the system even in the case of partial sensor faults. This not only improves the fault tolerance and stability of the system but also maintains the normal operation of the energy-saving control function, reducing energy waste and equipment loss caused by faults.

[0135] Step S305: Determine the available devices in the HVAC device through the fault-tolerant control module, and reallocate the actual unit set power among the available devices; and send the reallocation result to the output module through the fault-tolerant control module.

[0136] Specifically, control the fault-tolerant control module 6 to detect the device status in the HVAC device. If it is found that at least one device fails (such as a sensor), control the fault-tolerant control module 6 to determine which devices are available and reallocate the power of the actual unit to these available devices to ensure the normal operation of the system. Among them, when the faulty device is repaired, the fault-tolerant control module 6 will re-enable the device.

[0137] Step S306: Allocate the target unit set power to each device in the HVAC device according to a preset strategy through the output module. For details, please refer to Figure 1 Step S104 of the illustrated embodiment, which will not be elaborated here.

[0138] Step S307: Display the input command and each performance data through the observable quantity display module.

[0139] Specifically, control the observable quantity display module 7 to display the sensor measurement values, device operation status, program calculation results, and panel setting conditions of each link, so as to facilitate the user to master the operation of the system and quickly locate problems.

[0140] The HVAC control method provided by the embodiments of the present invention enables the system to accurately determine available devices during operation through the setting of a fault-tolerant control module. When equipment failures or other situations occur, the actual set power of the unit can be redistributed among the available devices, ensuring that the system can continue to operate even when some devices are unavailable, improving the fault tolerance and stability of the system. At the same time, the redistribution result is sent to the output module to ensure that the adjusted power distribution can accurately act on the devices and maintain the efficient operation of the system. The observation quantity display module visually displays the input instructions and various performance data, facilitating the user to grasp the system operation status in real time, helping the user to make adjustments and decisions according to the actual situation, and improving the user's control experience and management efficiency of the system.

[0141] The embodiments of the present invention also provide a computer device for executing the HVAC control method shown in the above Figure 6 、 Figure 7 and Figure 8 .

[0142] Please refer to Figure 9 , Figure 9 which is a schematic structural diagram of a computer device provided by an optional embodiment of the present invention. As shown in Figure 9 , the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as a server array, a set of blade servers, or a multi-processor system). Figure 9 In

[0143] , one processor 10 is taken as an example.

[0144] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0145] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0146] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memories.

[0147] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected through a bus or other means. Figure 9 Taking connection through a bus as an example.

[0148] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0149] Embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0150] In the description of this specification, the descriptions referring to the terms "this embodiment", "one embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without conflict, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0151] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0152] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0153] In the present invention, unless otherwise clearly specified and defined, the terms "mounted", "connected", "connected to", "fixed", etc. shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0154] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A HVAC control system, characterized in that: The system comprises: A detection module, including at least one sensor, for detecting performance data corresponding to each device in the HVAC device; An input module, connected to the detection module, for receiving an input instruction from a user and the performance data sent by the detection module; and for converting the input instruction and the performance data into performance parameters of the HVAC device; An energy-saving control module, connected to the input module, for calculating the target unit setting power corresponding to the HVAC device according to each of the performance parameters; and for sending the target unit setting power to the output module; The output module is connected to the energy-saving control module and is used to receive the target unit setting power sent by the energy-saving control module, and distribute the target unit setting power to each device in the HVAC device according to a preset strategy.

2. The system according to claim 1, characterized in that The performance parameters include system control parameters and system monitoring parameters; the input module includes: The instruction parsing submodule is used to receive the input instruction of the user, and to parse the input instruction and convert it into the system control parameters, wherein the system control parameters include the input system start-stop status, system seasonal working mode, air-conditioning temperature setting value, number of air-conditioning units started, estimated temperature change rate, conversion efficiency and mode flag; the estimated temperature change rate is the preset rate of change of indoor temperature per unit time; the conversion efficiency is the conversion value between heat and electric power; the mode flag is used to determine whether the HVAC device is in manual mode or automatic mode; The data receiving submodule is used to receive the performance data sent by the detection module, and to parse and convert the performance data into the system monitoring parameters, which include: fault flag, heat pump current, heat pump heating capacity, heat pump cooling capacity, operating time, indoor temperature, outdoor temperature, air conditioning side water flow, supply and return water temperature and water pump power consumption.

3. The system according to claim 1, characterized in that The performance parameters include air conditioning side water flow, supply and return water temperature, indoor temperature, air conditioning temperature setting value, outdoor temperature, estimated temperature change rate and conversion efficiency; the energy-saving control module includes a load estimation submodule, a state estimation submodule, a feedforward calculation submodule and a feedback calculation submodule; The load estimation submodule is used to calculate the cooling and heating load requirements of the HVAC device according to the water flow rate and the supply and return water temperature on the air conditioning side; The state estimation submodule is used to calculate the temperature deviation according to the indoor temperature and the air-conditioning temperature setting value, and send the temperature deviation to the feedback calculation submodule; The feedforward calculation submodule is used to calculate the set power of the first unit of the HVAC device according to the indoor temperature, the outdoor temperature, the estimated temperature change rate and the conversion efficiency; The feedback calculation submodule is used to calculate the second unit setting power of the HVAC device according to the temperature deviation, the estimated temperature change rate and the conversion efficiency, and determine the power obtained by superimposing the first unit setting power and the second unit setting power as the target unit setting power of the HVAC device.

4. The system according to claim 1, characterized in that The system further comprises: a fault diagnosis module, connected to the input module and the energy-saving control module respectively; the fault diagnosis module is used to determine the fault status of the HVAC device and each sensor according to each of the performance parameters, and send the fault status to the input module; when it is determined that at least one of the sensors has a fault, the fault diagnosis module is also used to correct the actual performance parameters of the faulty sensor according to the performance parameters, and send the corrected actual performance parameters to the energy-saving control module, so that the energy-saving control module calculates the actual unit set power corresponding to the HVAC device according to the corrected actual performance parameters; a fault-tolerant control module, connected to the energy-saving control module and the output module respectively; the fault-tolerant control module is used to determine the available equipment in the HVAC device, and to reallocate the actual unit set power among the available equipment, and to send the reallocation result to the output module; The observation quantity display module is connected to the input module and is used to display the input instructions and each performance data.

5. A HVAC control method, characterized in that: Applied to the HVAC control system of claim 1, the method comprises: Detect the performance data corresponding to each device in the HVAC device through the detection module; Receiving input instructions from a user and performance data sent by the detection module through an input module, and converting the input instructions and performance data into performance parameters of the HVAC device; Based on each of the performance parameters, the target unit setting power corresponding to the HVAC device is calculated by the energy-saving control module; The target unit set power is distributed to each device in the HVAC device according to a preset strategy through an output module.

6. The method according to claim 5, characterized in that The energy-saving control module includes a load estimation submodule, a state estimation submodule, a feedforward calculation submodule and a feedback calculation submodule; the performance parameters include air conditioning side water flow, supply and return water temperature, indoor temperature, air conditioning temperature setting value, outdoor temperature, estimated temperature change rate and conversion efficiency; The calculating, based on each of the performance parameters, the target unit setting power corresponding to the HVAC device by the energy-saving control module includes: The load estimation submodule calculates the cooling and heating load requirements of the HVAC device according to the water flow rate and the supply and return water temperature on the air conditioning side; The state estimation submodule calculates the temperature deviation according to the indoor temperature and the air-conditioning temperature setting value, and sends the temperature deviation to the feedback calculation submodule; Calculating the set power of the first unit of the HVAC device according to the indoor temperature, the outdoor temperature, the estimated temperature change rate and the conversion efficiency through the feedforward calculation submodule; The feedback calculation submodule calculates the second unit setting power of the HVAC device according to the temperature deviation, the estimated temperature change rate and the conversion efficiency, and the power obtained by superimposing the first unit setting power and the unit setting power is determined as the target unit setting power of the HVAC device.

7. The method according to claim 5, characterized in that The HVAC control system also includes a fault diagnosis module, and the method further includes: By means of the fault diagnosis module, the fault status of the HVAC device and each sensor is determined according to each of the performance parameters, and the fault status is sent to the input module; When it is determined that at least one of the sensors has a fault, the fault diagnosis module corrects the actual performance parameters of the faulty sensor according to the performance parameters, and sends the corrected actual performance parameters to the energy-saving control module, so that the energy-saving control module calculates the actual unit set power corresponding to the HVAC device according to the corrected actual performance parameters.

8. The method according to claim 7, characterized in that The HVAC control system further includes a fault-tolerant control module and an observation quantity display module, and the method further includes: Determine the available devices in the HVAC device through the fault-tolerant control module, and reallocate the actual set power of the unit among the available devices; and send the reallocation result to the output module through the fault-tolerant control module; The input instruction and each of the performance data are displayed through the observation quantity display module.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the HVAC control method according to any one of claims 5 to 8 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the HVAC control method according to any one of claims 5 to 8.

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