Evaporative multi-energy auxiliary refrigeration and heating air conditioning adaptive control system and method

Abstract

The application discloses an evaporative multi-energy auxiliary refrigeration and heating air conditioner self-adaptive control system and method, and relates to the field of air conditioner self-adaptive control. The application comprises the following steps: collecting temperature and humidity parameters and performing normalization processing to obtain normalized temperature parameters and normalized humidity parameters; calculating a basic deviation amount based on the normalized temperature parameters and humidity parameters; constructing a competitive potential amount containing environmental competitive potential and switching cost constraints based on the basic deviation amount, the normalized temperature parameters and humidity parameters; generating an execution output amount based on the competitive potential amount; and dynamically adjusting the running intensity of each module in the air conditioner self-adaptive control system based on the absolute value of the competitive potential amount and the execution output amount. The application solves the problems of the existing air conditioner control method, such as harsh mode switching, control domain fragmentation, frequent start and stop of high-energy equipment and the inability to adapt to PLC engineering implementation.

Description

Technical Field

[0001] This invention relates to the field of adaptive control of air conditioning, and in particular to an adaptive control system and method for evaporative multi-energy assisted cooling and heating air conditioning. Background Technology

[0002] In the operation of evaporative multi-energy assisted cooling and heating air conditioning systems, fully automatic control of the air conditioning system is a key aspect to ensure stable indoor environment, optimize energy distribution, and extend equipment lifespan. Existing control methods for evaporative multi-energy assisted cooling and heating air conditioning systems are mainly divided into three categories: threshold switching control, linear comprehensive index control, and branch control that first determines the mode and then switches equipment. This type of control method uses indoor and outdoor temperature and humidity as the main criteria for judgment, and achieves cooling and heating control separately through independent models.

[0003] However, the above control methods have obvious technical defects: the cooling domain and the heating domain are modeled separately, the control structure is fragmented, and the output is prone to sudden changes when switching modes; the order of evaporative cooling, compression refrigeration and auxiliary heat source input is determined only by environmental parameters, without considering the recent switching status of high-energy execution paths, which can easily cause frequent start-stop of compressors and high-level auxiliary heat sources; traditional comprehensive indicators are difficult to take into account both environmental competition and the cost of execution path switching, which can easily lead to problems such as evaporative cooling being mistakenly input, compression refrigeration being prematurely intervened, and increased system fluctuations, and the control logic is complex, which is not conducive to the lightweight real-time implementation of PLC. Summary of the Invention

[0004] This invention provides an adaptive control system and method for evaporative multi-energy assisted cooling and heating air conditioners, in order to solve the problems of abrupt mode switching, fragmented control domains, frequent start-up and shutdown of high-energy equipment, and inability to adapt to PLC engineering implementation in existing air conditioning control methods.

[0005] The present invention provides an adaptive control system and method for an evaporative multi-energy assisted refrigeration and heating air conditioner, specifically including the following technical solutions:

[0006] An adaptive control method for an evaporative multi-energy assisted cooling and heating air conditioner includes the following steps:

[0007] Temperature and humidity parameters are collected and normalized to obtain normalized temperature and humidity parameters; based on the normalized temperature and humidity parameters, the baseline deviation is calculated.

[0008] Based on the basic deviation, normalized temperature and humidity parameters, a competitive potential quantity is constructed that includes environmental competitive potential and switching cost constraints; based on the competitive potential quantity, an execution output quantity is generated; based on the absolute value of the competitive potential quantity and the execution output quantity, the operating intensity of each module in the air conditioning adaptive control system is dynamically adjusted.

[0009] Preferably, the temperature parameters include indoor temperature, outdoor temperature, and temperature setpoint; the humidity parameters include indoor relative humidity, outdoor relative humidity, and humidity setpoint.

[0010] Preferably, a load-assisted correction factor is constructed based on the difference between the normalized indoor relative humidity and the normalized humidity setpoint; the load-assisted correction factor is nonlinearly compressed and a sign function is introduced, and the basic deviation is obtained by combining it with the difference between the normalized indoor temperature and the normalized temperature setpoint.

[0011] Preferably, the environmental competitive advantage is constructed based on the basic deviation, the difference between the normalized indoor temperature and the normalized outdoor temperature, and the normalized outdoor relative humidity.

[0012] Preferably, based on the basic deviation, a sign function is introduced, and combined with the high-energy execution path switching cost, a switching cost constraint term is constructed.

[0013] Preferably, the competitive potential is generated based on the environmental competitive potential and the switching cost constraint, combined with the basic deviation quantity that introduces a sign function.

[0014] Preferably, the return air temperature and supply air temperature are collected and normalized, and the absolute value of the difference between the normalized return air temperature and the normalized supply air temperature is used as the execution strength correction factor; based on the execution strength correction factor, a supply and return air temperature difference damping correction term is constructed, and combined with the competitive potential, the execution output quantity is generated.

[0015] Preferably, when the competitive potential is greater than 0, the operating intensity of the evaporative cooling module is adjusted based on the absolute value of the execution output; when the competitive potential is less than 0, the operating intensity of the low-level auxiliary heating module is adjusted based on the absolute value of the execution output; when the competitive potential is equal to 0, the current operating state of each module is maintained.

[0016] An adaptive control system for an evaporative multi-energy assisted cooling and heating air conditioner includes the following components:

[0017] The circulating water pump module consists of two sets of pumping units, which together form the dual-circulation power of the air conditioning adaptive control system. One end of the first set of pumping units is connected to the indoor unit through a pipe, and the other end is connected to the cooling tower module through a pipe, forming the main circulation loop. One end of the second set of pumping units is connected to the energy equipment through a pipe, and the other end is connected to the heat exchange coil module inside the cooling tower module through a pipe, forming an independent auxiliary heat source circulation loop. The PLC fully automatic control system module adjusts the start-up, shutdown, and operating frequency of the two sets of pumping units respectively.

[0018] Indoor unit module: It integrates a compressor, a four-way reversing valve and a flash tank, forming a compression refrigeration module and a compression heating module; the indoor unit is connected to the first pumping unit and cooling tower module through the main circulation pipeline, and is electrically connected to the PLC fully automatic control system module;

[0019] Cooling tower module: integrates evaporative cooling module and low-level auxiliary heating module, used for evaporative cooling and low-level auxiliary heating; heat exchange coil module is installed inside the cooling tower module and is electrically connected to PLC fully automatic control system module;

[0020] Heat exchange coil module: This is a multi-energy heat exchange interface component of the air conditioning adaptive control system. It is installed inside the cooling tower module and is responsible for transferring the heat from the external auxiliary heat source to the circulating medium. One end is connected to the multi-energy auxiliary heat source module, and the other end is in contact with the medium inside the cooling tower module.

[0021] Pipeline medium circulation module: This is the heat exchange and transmission path of the air conditioning adaptive control system. The pipeline connects the indoor unit module, circulating water pump module, cooling tower module, and multi-energy auxiliary heat source module in series to form a closed loop.

[0022] Multi-energy auxiliary heat source module: This is a high-level auxiliary heat source, composed of energy equipment, which is connected to the heat exchange coil module through pipelines to supply heat to the medium inside the cooling tower module;

[0023] The PLC fully automatic control system module integrates a temperature and humidity sensor, a supply and return air parameter acquisition module, a host computer parameter configuration module, a data storage and memory unit, an arithmetic logic control unit, and an execution control output interface. It is responsible for real-time acquisition of indoor and outdoor temperature, relative humidity, medium supply and return water temperature, and pipeline pressure parameters, and performs closed-loop temperature and humidity calculations and logical judgments. It controls the indoor unit to switch between cooling and heating modes and adjust output, controls the cooling tower module to adjust the evaporative cooling intensity and spray operation status, controls the circulating water pump module to adjust the medium circulation flow, and achieves intelligent activation of auxiliary heating by linking the multi-energy auxiliary heat source module and the heat exchange coil module.

[0024] Preferably, the cooling tower module, the first pumping unit, and the indoor unit module form a bidirectional closed main circulation loop through pipelines, with the medium being transported back and forth by the pipeline medium circulation module; the multi-energy auxiliary heat source module, the second pumping unit, and the heat exchange coil module inside the cooling tower module form a bidirectional closed auxiliary heat source circulation loop for multi-energy indirect heating; the PLC fully automatic control system module and each execution module are connected by a unidirectional control connection for sending adjustment commands and performing adaptive control.

[0025] The beneficial effects of the technical solution of the present invention are:

[0026] 1. Simultaneously collect multi-dimensional parameters such as indoor and outdoor temperature, relative humidity, and supply and return air temperature, and normalize them to ensure consistency of calculation; use basic deviation to uniformly represent heat and humidity load, and suppress abrupt changes in humidity difference through logarithmic nonlinear processing to provide stable input for subsequent control.

[0027] 2. Integrate environmental competitive potential and switching cost constraints to construct competitive potential; dynamically determine the input intensity of multi-energy actuators based on the absolute value of competitive potential, thereby suppressing frequent start-stop of compressors and high-level auxiliary heat sources from a mechanism perspective, and achieving highly centralized control logic.

[0028] 3. By introducing supply and return air temperature difference damping correction, the execution output is generated, achieving stability with small deviations and rapid response with large deviations, and without mode jumps, thereby making the air conditioning adaptive control system operate more smoothly and consume less energy. Attached Figure Description

[0029] Figure 1 This is a structural diagram of an adaptive control system for an evaporative multi-energy assisted refrigeration and heating air conditioner according to the present invention.

[0030] Figure 2 This is a flowchart of an adaptive control method for an evaporative multi-energy assisted refrigeration and heating air conditioner according to the present invention. Detailed Implementation

[0031] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0033] The following description, in conjunction with the accompanying drawings, details the specific scheme of an evaporative multi-energy assisted refrigeration and heating air conditioning adaptive control system and method provided by the present invention.

[0034] See attached document Figure 1 The diagram illustrates a structural diagram of an adaptive control system for an evaporative multi-energy assisted refrigeration and heating air conditioner according to an embodiment of the present invention. The system includes the following components:

[0035] Circulating water pump module, indoor unit module, cooling tower module, heat exchange coil module, pipeline medium circulation module, multi-energy auxiliary heat source module, PLC fully automatic control system module;

[0036] The circulating water pump module comprises two independent pumping units, which together form the dual-circulation power of the air conditioning adaptive control system. The first pumping unit connects to the indoor unit via a pipe at one end and to the cooling tower module at the other, forming the main circulation loop. In summer, it drives the cooling water circulation for heat dissipation, and in winter, it drives the antifreeze circulation for heat extraction, providing the main circulation power for cooling and heating throughout the year. The second pumping unit connects to various energy sources, including waste heat from production and solar energy, at one end and to the heat exchange coil module within the cooling tower module at the other, forming an independent auxiliary heat source circulation loop. This loop is responsible for transferring the waste heat from production and the heat energy from solar energy from the multi-energy auxiliary heat source module to the heat exchange coil, without mixing with the main circulation medium, achieving safe, stable, and pollution-free indirect heating. Both pumping units are uniformly controlled by a PLC fully automatic control system. The PLC fully automatic control system module adjusts the start / stop and operating frequency of the two pumping units based on real-time collected indoor and outdoor temperatures, relative humidity, medium supply and return water temperatures, and load requirements, matching the flow requirements of cooling, heating, and multi-energy auxiliary heating to achieve on-demand circulation and highly efficient energy-saving fully automatic control.

[0037] Indoor unit module: This is the main cooling and heating output terminal of the air conditioning adaptive control system. It integrates a compressor, a four-way reversing valve, and a flash tank to form a compression refrigeration module and a compression heating module, realizing the compression refrigeration and heating of the air conditioning adaptive control system. In summer, it absorbs indoor heat to achieve cooling, and in winter, it releases heat into the room to achieve heating. The indoor unit is connected to the first pumping unit and cooling tower module through the main circulation pipeline, and is electrically connected to the PLC fully automatic control system module to receive mode switching and output adjustment commands.

[0038] Cooling tower module: This is the core outdoor heat exchange unit of the air conditioning adaptive control system. It integrates an evaporative cooling module and a low-level auxiliary heating module to achieve evaporative cooling and low-level auxiliary heating. In summer, it forces the main circulating medium to cool through spray evaporation, providing a cold source for the indoor environment. In winter, it disperses the low-temperature antifreeze into a liquid film through spraying, allowing it to fully contact the outdoor air and absorb low-grade heat energy from the air to raise the medium temperature and further enhance the heating effect. The cooling tower module is equipped with a heat exchange coil module, which is electrically connected to the PLC fully automatic control system module and accepts adjustments for spraying, airflow, and operating status.

[0039] Heat exchange coil module: This is a multi-energy heat exchange interface component of the air conditioning adaptive control system. It is installed inside the cooling tower module and serves as an indirect heat exchange unit. It is responsible for transferring the heat from the external auxiliary heat source to the circulating medium. One end is connected to the multi-energy auxiliary heat source module, and the other end is in full contact with the medium inside the cooling tower module to achieve indirect heating without mixing or pollution, thereby improving heating efficiency in winter.

[0040] Pipeline medium circulation module: This is the heat exchange and transmission path of the air conditioning adaptive control system. It adopts a dual-medium mode of water circulation in summer and antifreeze circulation in winter to prevent freezing at low temperatures and ensure stable operation throughout the year. The pipeline connects the indoor unit module, circulating water pump module, cooling tower module, and multi-energy auxiliary heat source module in series to form a closed loop, realizing the stable transport and exchange of cooling and heating between indoor and outdoor environments.

[0041] Multi-energy auxiliary heat source module: It is an energy-saving heating supplement unit of the air conditioning adaptive control system. It is a high-level auxiliary heat source, composed of low-grade energy equipment such as waste heat from production and solar energy. It is connected to the heat exchange coil module through pipelines to supply heat to the medium in the cooling tower module, reduce the main unit's heat consumption, and realize multi-energy complementarity and energy saving and emission reduction.

[0042] The PLC fully automatic control system module is the control center and intelligent brain of the entire air conditioning adaptive control system. It integrates a temperature and humidity sensor, a supply and return air parameter acquisition module, a host computer parameter configuration module, a data storage and memory unit, an arithmetic logic control unit, and an execution control output interface. It is responsible for real-time acquisition of signals such as indoor and outdoor temperature, relative humidity, medium supply and return water temperature, and pipeline pressure, and completes closed-loop calculation and logical judgment of temperature and humidity. It controls the indoor unit to switch between cooling or heating modes and adjust output, controls the cooling tower module to adjust the evaporative cooling intensity and spray operation status, controls the circulating water pump module to adjust the medium circulation flow, and links the multi-energy auxiliary heat source module and heat exchange coil module to realize intelligent activation of auxiliary heating. The PLC mainly controls temperature and adjusts humidity in linkage. It automatically adjusts the output of each execution module according to the indoor temperature and humidity deviation to achieve stable indoor temperature and humidity, smooth operation of the air conditioner, avoid frequent start and stop, and achieve the goal of unattended, adaptive, high-efficiency and energy-saving fully automatic control.

[0043] The cooling tower module, the first pumping unit, and the indoor unit module form a two-way closed main circulation loop through pipelines, with the medium circulation module in the pipeline enabling reciprocating transport of the medium. The multi-energy auxiliary heat source module, the second pumping unit, and the heat exchange coil module inside the cooling tower module form a two-way closed auxiliary heat source circulation loop, enabling indirect heating from multiple energy sources. The PLC fully automatic control system module has a unidirectional control connection with each execution module, used to send adjustment commands to achieve adaptive control of the entire system.

[0044] See attached document Figure 2 The diagram illustrates an adaptive control method for an evaporative multi-energy assisted refrigeration and heating air conditioner according to an embodiment of the present invention. The method includes the following steps:

[0045] S1. Collect temperature and humidity parameters and normalize them to obtain normalized temperature and humidity parameters; calculate the basic deviation based on the normalized temperature and humidity parameters.

[0046] First, the PLC fully automatic control system module synchronously collects indoor temperature, indoor relative humidity, outdoor temperature, and outdoor relative humidity data via its integrated temperature and humidity sensor at a fixed sampling period. The temperature and humidity setpoints are then retrieved through the PLC's host computer parameter configuration module. In a specific embodiment, the sampling period can be 5 seconds. Simultaneously, the PLC fully automatic control system module retrieves near-terminal values... Within each control cycle, the high-energy execution path status data, such as the start / stop status of the air conditioning compression refrigeration path retrieved in the cooling control domain, and the start / stop status of the air conditioning high-level auxiliary heat source path retrieved in the heating control domain, will... The length of the memory window is determined by the number of control cycles. As a specific embodiment, the memory window length Eight control cycles are selected. Specifically, the PLC records the status data of the high-energy execution path cycle by cycle. A value of 0 indicates that the compression refrigeration path or the high-level auxiliary heat source path is not activated, and a value of 1 indicates that the compression refrigeration path or the high-level auxiliary heat source path is activated.

[0047] The dimensions of indoor temperature, indoor relative humidity, outdoor temperature, outdoor relative humidity, temperature setpoint, and humidity setpoint are removed using a minimum-maximum normalization method and percentage normalization. Specifically, temperature parameters, such as indoor temperature, outdoor temperature, and temperature setpoint, are normalized to... The normalized temperature parameters are obtained by dividing the range; the humidity parameters, such as indoor relative humidity, outdoor relative humidity, and humidity setpoint, are directly normalized by percentage to obtain the normalized humidity parameters.

[0048] After parameter normalization, the basic deviation is calculated using the formula. The difference between the indoor temperature and the temperature setpoint is used as the core for determining the control direction, and the difference between the indoor relative humidity and the humidity setpoint is used as the load auxiliary correction factor. A logarithmic function is used to nonlinearly compress the load auxiliary correction factor to avoid abrupt changes in subsequent control quantities due to large humidity fluctuations. Simultaneously, a sign function is introduced to lock the positive or negative direction of the basic deviation. The temperature difference and logarithmic humidity difference are coupled in the calculation to obtain the basic deviation, which characterizes the magnitude of the indoor heat and humidity load and the direction of cooling or heating control. The formula for calculating the basic deviation is as follows: , in, For the current control cycle The basic deviation; This indicates the current control cycle of the PLC fully automatic control system module; The normalized indoor temperature; This is the normalized temperature setpoint; The normalized indoor relative humidity; This is the normalized humidity setting value; The humidity difference term represents the load-assisted correction factor. A sign function used to determine the direction of cooling or heating; Corresponding temperature control domain; Corresponding cooling control domain; The air conditioning adaptive control system stops working. As a humidity deviation correction term, the humidity deviation is converted into a load correction amount with the same direction and dimension as the temperature deviation, so as to achieve a unified characterization of temperature and humidity load. This is the temperature difference term, used to characterize the degree and direction of indoor temperature deviation from the temperature setpoint.

[0049] The formula for calculating the basic deviation integrates temperature and humidity deviations to uniformly represent the total indoor heat and humidity load, achieving adaptive control that is temperature-driven, humidity-assisted, and directionally consistent. This not only conforms to the physical nature of air conditioning heat and humidity coupling regulation but also improves control stability and comfort.

[0050] S2. Based on the basic deviation, normalized temperature parameters, and humidity parameters, construct a competitive potential quantity that includes environmental competitive potential and switching cost constraints; based on the competitive potential quantity, generate execution output quantity; based on the absolute value of the competitive potential quantity and the execution output quantity, dynamically adjust the operating intensity of each module in the air conditioning adaptive control system.

[0051] After completing the basic deviation calculation, the normalized outdoor temperature, outdoor relative humidity, and Using high-energy execution path status data within a control cycle as input, a competitive potential is calculated to balance environmental heat exchange potential and equipment operating costs. In the calculation of the competitive potential, the environmental competitive potential is first constructed by combining the indoor and outdoor temperature difference, the absolute value of the basic deviation, and the outdoor humidity suppression coefficient. This comprehensively reflects the available potential for evaporative cooling, the intensity of indoor heat and humidity load, and the magnitude of outdoor heat exchange driving force. Then, the recent... The start-up and shutdown status of the compression refrigeration or high-level auxiliary heat source is calculated cycle by cycle within each control cycle to obtain the high-energy execution path switching cost. This cost directly reflects the recent frequency of switching of high-energy equipment. Subsequently, the environmental competitive potential is coupled with the high-energy execution path switching cost. A sign function unifies the connection between the cooling control domain and the heating control domain. When the competitive potential is positive, the system enters the cooling control domain; when it is negative, it enters the heating control domain. Its absolute value directly determines the overall input intensity of the multi-energy actuators, achieving synchronous decision-making based on environmental conditions and switching costs, fundamentally avoiding the problem of frequent start-up and shutdown of high-energy equipment in traditional control. The formula for calculating the competitive potential is as follows: , in, For the current control cycle The competitive potential, taking into account both the environmental competitive potential and the cost of switching high-energy execution paths, is used to determine the cooling / heating control domain and to determine the intensity of multi-energy input. At that time, the air conditioning adaptive control system is in the cooling control domain; At that time, the air conditioning adaptive control system is in the temperature rise control domain; When there is no demand for cooling or heating, the air conditioning adaptive control system is not working. The PLC stops the operation of the compression refrigeration module, evaporative cooling module and multi-energy auxiliary heat source module, and only retains the necessary monitoring and low power standby to achieve stable temperature and energy-saving operation. The normalized outdoor temperature; The normalized outdoor relative humidity; For the current control cycle The cost of high-energy execution path switching is calculated by statistical analysis of the previous... The high-energy execution path status data for each PLC control cycle within a control cycle is calculated using the following formula: ,in, To remember the window length, To control the periodic index, For the first The first control cycle and the first High-energy execution path status data for each control cycle; To assess environmental competitiveness, a comprehensive assessment is needed, reflecting the intensity of indoor heat and humidity load, the driving force of indoor and outdoor heat exchange, and the availability of evaporative cooling. Outdoor humidity suppression coefficient; Indicates the potential for heat exchange or evaporative cooling that can be utilized outdoors; It characterizes the total indoor heat and humidity load and reflects the degree to which the indoor environment deviates from the set value; To meet the overall control requirements of the air conditioning system, we jointly determine how much power the air conditioner should exert; This is a switching cost constraint term, used to constrain the switching frequency of high-energy execution paths. When At this time, the air conditioning adaptive control system is in the cooling control domain. Switch cost constraint terms The constraint effect automatically fails. This design is because the cooling control domain uses compression refrigeration as the core actuator, and the cooling demand is the primary control target of the air conditioning adaptive control system. It is necessary to prioritize ensuring sufficient indoor cooling capacity, so no switching cost constraint is applied. Switching cost constraints are only applied to high-level auxiliary heat sources in the heating control domain to avoid frequent start-stop, thereby realizing a differentiated control logic that prioritizes cooling and protects heating. This ensures both cooling effect and heating operation stability, and extends the service life of the equipment.

[0052] A minus sign is used to connect the environmental competitive potential and the switching cost constraint. The environmental competitive potential represents the control intensity required for the air conditioning adaptive control, and the high-energy execution path switching cost represents the equipment operation constraint. By subtracting the control intensity, the more frequent the switching, the stronger the constraint and the smoother the output. This avoids frequent start-stop of the compressor and high-level auxiliary heat source, extends the equipment life, and improves the operational stability of the air conditioning adaptive control system.

[0053] Next, the PLC fully automatic control system module collects the supply air temperature and return air temperature, using the temperature difference between them as an execution strength correction factor, and calculates the final execution output based on the competitive potential. An exponential function is used to dampen the temperature difference between the supply and return air temperatures, constructing a supply and return air temperature difference damping correction term. When the temperature difference is small, the value of the supply and return air temperature difference damping correction term approaches zero, avoiding frequent adjustments of multi-energy actuators by the PLC due to small deviations, reducing equipment wear and energy waste. When the temperature difference is large, the value of the supply and return air temperature difference damping correction term increases rapidly, automatically strengthening the control to quickly eliminate indoor environmental deviations and ensure rapid temperature and humidity response. The execution output is numerically the superposition of the competitive potential and the supply and return air temperature difference damping correction term, retaining the decision logic of environmental competition and switching costs while incorporating dynamic feedback of the current PLC's actual heat exchange effect. The specific formula is as follows: , in, This represents the execution output of the current control cycle. The return air temperature is the air temperature inside the air conditioning return air duct. It is obtained by collecting the supply and return air parameter acquisition module integrated into the PLC fully automatic control system module in real time and then performing minimum-maximum normalization. The supply air temperature is the air temperature inside the air conditioning supply air duct. It is obtained by collecting the supply and return air parameter acquisition module integrated into the PLC fully automatic control system module in real time and then performing minimum-maximum normalization. Adjustment factor for enforcement intensity; The supply and return air temperature difference damping correction term enables adaptive adjustment of the control force, and its value range is [value range missing]. (The smaller the temperature difference, the smaller the correction amount; the larger the temperature difference, the larger the correction amount), used to avoid frequent actions and quickly eliminate environmental deviations.

[0054] Finally, the PLC fully automatic control system module based on competitive momentum The absolute value is used to dynamically determine the engagement status of multi-energy actuators, as detailed below:

[0055] Cooling control domain ( )middle, The smaller the absolute value, the smaller the indoor cooling load. Only the operating intensity of the evaporative cooling module in the air conditioning adaptive control system needs to be adjusted (using a standard proportional mapping to the output quantity). The absolute value is linearly mapped to the frequency adjustment range of the circulating water pump and the opening adjustment range of the damper, realizing continuous adjustable adjustment to match the control requirements; the frequency adjustment range of the circulating water pump is 30Hz to 50Hz; the opening adjustment range of the damper is 10% to 100%. The larger the absolute value, the higher the frequency of the circulating water pump and the larger the opening of the air valve; The smaller the absolute value, the lower the frequency of the circulating water pump and the smaller the opening of the air valve, the more the demand can be met. The compression refrigeration module in the air conditioning adaptive control system remains in an inactive state. The absolute value gradually increases, indicating that the indoor cooling load is gradually increasing, and the operating intensity of the evaporative cooling module is increasing accordingly. When the absolute value increases to the point that the evaporative cooling module reaches its maximum effective operating intensity, the PLC controls the compression refrigeration module to gradually intervene, according to... The absolute value of the compressor load rate is adjusted to supplement the cooling capacity. The maximum effective operating intensity is the physical upper limit of the cooling capacity that the evaporative cooling module can provide under the current outdoor temperature and relative humidity conditions. It is determined by outdoor environmental parameters (such as outdoor temperature and relative humidity) and corresponds to the maximum adjustable limit of the circulating water pump frequency and the air valve opening. When the evaporative cooling module reaches this limit, it can no longer meet the continuously increasing cooling load through its own adjustment, and the compressor cooling module needs to be engaged to work in conjunction.

[0056] Temperature control domain ( )middle, The smaller the absolute value, the smaller the indoor heating load, and only the operating intensity of the low-level auxiliary heating module of the air conditioning adaptive control system needs to be adjusted (according to...). The absolute value corresponds to adjusting the heating output power and fan frequency of the lower-level auxiliary heating module itself, so as to achieve continuous adjustment that matches the control requirements. The larger the absolute value, the higher the output power and the higher the fan frequency; The smaller the absolute value, the lower the output power and the lower the fan frequency, the more the demand can be met. The high-level auxiliary heat source remains in an unused state. The absolute value gradually increases, indicating a gradual increase in indoor heating load, and the operating intensity of low-level auxiliary heating modules increases accordingly. When the absolute value increases to the point that the low-level auxiliary heating module reaches its maximum output, the PLC controls the high-level auxiliary heat source to be activated. The absolute value of the auxiliary heating stage is adjusted to supplement the heating capacity. If the combined output of the lower-level auxiliary heating module and the higher-level auxiliary heat source is still insufficient to meet the heating demand, the PLC further activates the compression heating module, switching between the compressor and the four-way reversing valve to achieve heat pump heating. The absolute value adjusts the compressor's operating frequency and load rate, serving as the primary heating output to ensure that indoor heating needs are fully met. The maximum output of the lower-level auxiliary heating module is the maximum heating capacity limit defined by the factory-rated hardware parameters of the lower-level auxiliary heating module.

[0057] when At this point, the indoor heat and humidity load is perfectly matched with the current output capacity of the air conditioning adaptive control system, and the indoor temperature and humidity have approached the set values. At this time, there is no need to adjust the operating intensity of any energy module; simply maintain the current operating status of each module. Specifically: the evaporative cooling module and the low-level auxiliary heating module maintain their current operating parameters, such as circulating water pump frequency, damper opening, output power, and fan frequency; the compression refrigeration module and the high-level auxiliary heat source remain in an unactivated state. Simultaneously, the PLC continuously collects indoor and outdoor parameters (such as indoor temperature, indoor relative humidity, outdoor temperature, and outdoor relative humidity) and supply and return air parameters (such as supply air temperature and return air temperature) for real-time monitoring. Change, if If the deviation from 0 is detected, the operating intensity of the corresponding module will be dynamically adjusted immediately based on the direction and absolute value of the deviation to ensure a stable indoor environment. Throughout the entire control process, the PLC synchronously references the switching cost of high-energy execution paths. ,like If the value is close to 1 (too frequent switching), then appropriately reduce the execution output. The rate of change should be controlled to avoid wear and tear from frequent equipment switching.

[0058] Ultimately, it achieves continuous linkage control of evaporative cooling, compression refrigeration and auxiliary heating. While meeting the accuracy of indoor temperature and humidity control, it significantly reduces the frequency of high-energy execution path switching, reduces the energy consumption and equipment loss of the air conditioning adaptive control system, and improves the overall operational stability and energy efficiency of the air conditioning adaptive control system.

[0059] In summary, an adaptive control system and method for evaporative multi-energy assisted refrigeration and heating air conditioning has been completed.

[0060] The order of the embodiments is for illustrative purposes only and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0061] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0062] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention 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 the present invention, and should all be included within the protection scope of the present invention.

Claims

1. An adaptive control method for an evaporative multi-energy assisted refrigeration and heating air conditioner, characterized in that, Includes the following steps: Temperature and humidity parameters are collected and normalized to obtain normalized temperature and humidity parameters; based on the normalized temperature and humidity parameters, the baseline deviation is calculated. Based on the basic deviation, normalized temperature and humidity parameters, a competitive potential quantity containing environmental competitive potential and switching cost constraints is constructed. Based on the competitive potential, the execution output is generated; based on the absolute value of the competitive potential and the execution output, the operating intensity of each module in the air conditioning adaptive control system is dynamically adjusted.

2. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 1, characterized in that, Temperature parameters include indoor temperature, outdoor temperature, and temperature setpoint; humidity parameters include indoor relative humidity, outdoor relative humidity, and humidity setpoint.

3. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 2, characterized in that, A load-assisted correction factor is constructed based on the difference between the normalized indoor relative humidity and the normalized humidity setpoint. The load auxiliary correction factor is nonlinearly compressed, and a sign function is introduced. The basic deviation is obtained by combining the difference between the normalized indoor temperature and the normalized temperature setpoint.

4. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 3, characterized in that, Environmental competitive advantage is constructed based on the basic deviation, the difference between normalized indoor temperature and normalized outdoor temperature, and normalized outdoor relative humidity.

5. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 3, characterized in that, Based on the fundamental deviation, a sign function is introduced, and combined with the high-energy execution path switching cost, a switching cost constraint term is constructed.

6. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 5, characterized in that, Based on the environmental competitive potential and switching cost constraints, and combined with the basic deviation quantity that introduces a sign function, the competitive potential quantity is generated.

7. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 6, characterized in that, Collect and normalize the return air temperature and supply air temperature, and use the absolute value of the difference between the normalized return air temperature and the normalized supply air temperature as the execution strength correction factor. Based on the execution intensity correction factor, a supply and return air temperature difference damping correction term is constructed, and combined with the competitive potential, the execution output quantity is generated.

8. The adaptive control method for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 7, characterized in that, When the competitive potential is greater than 0, the operating intensity of the evaporative cooling module is adjusted based on the absolute value of the execution output; when the competitive potential is less than 0, the operating intensity of the low-level auxiliary heating module is adjusted based on the absolute value of the execution output; when the competitive potential is equal to 0, the current operating status of each module is maintained.

9. An adaptive control system for an evaporative multi-energy auxiliary cooling and heating air conditioner, applied to the adaptive control method for an evaporative multi-energy auxiliary cooling and heating air conditioner as described in any one of claims 1-8, characterized in that, Includes the following parts: Circulating water pump module: It includes two sets of pumping units. The first set of pumping units is connected to the indoor unit through a pipe at one end and to the cooling tower module through a pipe at the other end, forming the main circulation loop. The second set of pumping units is connected to the energy equipment through a pipe at one end and to the heat exchange coil module in the cooling tower module through a pipe at the other end, forming an independent auxiliary heat source circulation loop. The PLC fully automatic control system module adjusts the start-stop and operating frequency of the two sets of pumping units respectively. Indoor unit module: It integrates a compressor, a four-way reversing valve and a flash tank, forming a compression refrigeration module and a compression heating module; the indoor unit is connected to the first pumping unit and cooling tower module through the main circulation pipeline, and is electrically connected to the PLC fully automatic control system module; Cooling tower module: integrates evaporative cooling module and low-level auxiliary heating module, used for evaporative cooling and low-level auxiliary heating; heat exchange coil module is installed inside the cooling tower module and is electrically connected to PLC fully automatic control system module; Heat exchange coil module: This is a multi-energy heat exchange interface component of the air conditioning adaptive control system. It is installed inside the cooling tower module and is responsible for transferring the heat from the external auxiliary heat source to the circulating medium. One end is connected to the multi-energy auxiliary heat source module, and the other end is in contact with the medium inside the cooling tower module. Pipeline medium circulation module: This is the heat exchange and transmission path of the air conditioning adaptive control system. The pipeline connects the indoor unit module, circulating water pump module, cooling tower module, and multi-energy auxiliary heat source module in series to form a closed loop. Multi-energy auxiliary heat source module: It is a high-level auxiliary heat source, composed of energy equipment, and connected to the heat exchange coil module through pipelines to supply heat to the medium in the cooling tower module; The PLC fully automatic control system module integrates a temperature and humidity sensor, a supply and return air parameter acquisition module, a host computer parameter configuration module, a data storage and memory unit, an arithmetic logic control unit, and an execution control output interface. It is responsible for real-time acquisition of indoor and outdoor temperature, relative humidity, medium supply and return water temperature, and pipeline pressure parameters, and performs closed-loop temperature and humidity calculations and logical judgments. It controls the indoor unit to switch between cooling and heating modes and adjust output, controls the cooling tower module to adjust the evaporative cooling intensity and spray operation status, controls the circulating water pump module to adjust the medium circulation flow, and achieves intelligent activation of auxiliary heating by linking the multi-energy auxiliary heat source module and the heat exchange coil module.

10. The adaptive control system for evaporative multi-energy assisted refrigeration and heating air conditioning according to claim 9, characterized in that, The cooling tower module, the first pumping unit, and the indoor unit module form a two-way closed main circulation loop through pipelines, with the medium being transported back and forth by the pipeline medium circulation module; the multi-energy auxiliary heat source module, the second pumping unit, and the heat exchange coil module inside the cooling tower module form a two-way closed auxiliary heat source circulation loop for multi-energy indirect heating; the PLC fully automatic control system module has a one-way control connection with each execution module, used to send adjustment commands and perform adaptive control.

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