CN115758680A - Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system - Google Patents
Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system Download PDFInfo
- Publication number
- CN115758680A CN115758680A CN202211355734.2A CN202211355734A CN115758680A CN 115758680 A CN115758680 A CN 115758680A CN 202211355734 A CN202211355734 A CN 202211355734A CN 115758680 A CN115758680 A CN 115758680A
- Authority
- CN
- China
- Prior art keywords
- control
- indoor
- fan
- magnet direct
- central air
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
A permanent magnet direct-drive low-speed big fan and central air conditioning system linkage regulation and control method and system are disclosed, the method comprises the following steps: obtaining indoor and outdoor environmental parameters, periodically updating the environmental parameters according to a set time interval, and formulating a permanent magnet direct-drive low-speed big fan and central air conditioning system linkage regulation strategy according to the monitored indoor and outdoor environmental parameters, wherein the environmental parameters comprise at least one of indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor PM2.5 index and outdoor wind speed; the method comprises the steps that a permanent-magnet direct-drive low-speed large fan and a central air conditioning system are controlled in a linkage mode, the linkage control method comprises multiple control states and gear levels, and a temperature-division control mode is adopted, wherein each temperature region uses at most one control state; based on environmental parameters, an intelligent algorithm is used for coordinating human body comfort level and energy consumption to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination, and optimal control with minimum energy consumption is achieved under the condition that the indoor human body comfort level requirement is guaranteed. The invention can effectively reduce the energy consumption of the air conditioner.
Description
Technical Field
The invention belongs to the technical field of air conditioner control, and particularly relates to a permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system.
Background
Along with the increasing attention to the zero-carbon building construction, air conditioning equipment in the building is popularized nowadays, so that a large amount of energy is consumed while the office and living environments are more comfortable, the operation consumption of building energy mainly comes from equipment such as air conditioners, lighting and working, the operation energy consumption of the air conditioners accounts for more than 50%, and the key for realizing the target of the zero-carbon building is to reduce the energy consumption of the air conditioners in the building.
The rated power of the whole motor of the permanent magnet direct-drive low-speed large fan at the present stage is between 0.1 and 0.35kW, the power density is improved by 30 percent compared with the motor with the same rotating speed, the energy is saved by about 50 percent compared with the traditional fan with the same type, and the energy is saved by about 90 percent compared with an air conditioner. The motor volume is about one third of the conventional motor, the structure is simple, and the power consumption is only one fourth of that of the conventional motor. Compared with an air conditioner, the permanent magnet direct-drive low-speed large fan has the advantages of high natural wind comfort and low power consumption, but cannot eliminate discomfort of people under the weather condition of high temperature. Aiming at the respective characteristics of the central air conditioner and the permanent magnet direct-driven low-speed big fan, a regulation and control mode of linkage of the central air conditioner and the permanent magnet direct-driven low-speed big fan is provided, so that the building energy consumption is reduced, the comfort degree of a user can be improved, and the effect of reducing pollutants and purifying indoor air is achieved. However, most of the existing researches analyze the energy consumption when the fan and the air conditioner are linked or simulate the indoor wind field and the heat adaptability when the fan and the air conditioner are linked, but the design research of the linked control method of the fan and the air conditioner is deficient.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a linkage regulation and control method and a linkage regulation and control system for a permanent-magnet direct-drive low-speed large fan and a central air conditioning system, so that comprehensive intelligent management of indoor air and temperature is realized, and energy consumption of buildings is reduced.
In order to achieve the purpose, the invention has the following technical scheme:
a linkage regulation and control method for a permanent magnet direct-drive low-speed large fan and a central air conditioning system comprises the following steps:
obtaining indoor and outdoor environmental parameters, periodically updating the environmental parameters according to a set time interval, and formulating a permanent magnet direct-drive low-speed big fan and central air conditioning system linkage regulation strategy according to the monitored indoor and outdoor environmental parameters, wherein the environmental parameters comprise at least one of indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor PM2.5 index and outdoor wind speed;
the method comprises the steps that a permanent-magnet direct-drive low-speed large fan and a central air conditioning system are controlled in a linkage mode, the linkage control method comprises multiple control states and gear levels, and a temperature-division control mode is adopted, wherein each temperature region uses at most one control state;
based on environmental parameters, an intelligent algorithm is used for coordinating human body comfort level and energy consumption to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination, and optimal control with minimum energy consumption is achieved under the condition that the indoor human body comfort level requirement is guaranteed.
Preferably, the permanent-magnet direct-drive low-speed large fan is driven by a low-speed large-torque permanent-magnet synchronous motor, a fan body of the fan and the motor are in a direct-connection type integrated connection structure, and a base of the fan is embedded in a wall and is reinforced by high-strength bolts;
the permanent-magnet direct-drive low-speed large fan adopts a coupled design of a fan blade shape and an inclination angle, and when the equipment runs, pressure difference is generated on the front side and the rear side of the fan blade of the fan and is pumped into outdoor fresh air, so that ventilation is realized;
the permanent-magnet direct-drive low-speed large fan is provided with a plurality of gear levels for operation setting, a long fan blade low-rotating-speed operation mode is used, variable-speed feedforward control is adopted, and spiral air masses are stirred and dispersed in a short distance.
Preferably, the step of calculating the temperature zone, the step of controlling the equipment, the step of selecting the gear and the step of determining the control state comprises the following steps:
the control state is characterized by three states, namely a ventilation state, a refrigeration state and a heating state, the equipment enters the corresponding control state according to different environment parameters, the control states are regulated and controlled in different regions, and the regions are obtained by calculation according to the collected environment parameters and a comfort level energy consumption coordination optimization model;
when the indoor PM2.5 index exceeds a given threshold value and the outdoor PM2.5 index is in a reference range, the permanent magnet direct-drive low-speed large fan system enters a ventilation state; judging the indoor temperature when the ventilation and air exchange state is finished or the PM2.5 index does not meet the requirement of the ventilation and air exchange state, and entering a refrigeration state when the indoor temperature exceeds a given parameter range; and entering a heating state below a given parameter range.
Preferably, the partitioning setting in the ventilation and ventilation state includes:
determining the number of intervals and the boundary value of the intervals of the ventilation state partitions, wherein each interval range is set to be at least 10 times greater than the monitoring precision of equipment;
coupling monitoring data sets up the equipment control parameter of corresponding interval, equipment control parameter includes: the permanent magnet directly drives the gear and the working time of the low-speed large fan.
Preferably, the partitioning setting in the cooling state includes:
determining the number of intervals of the refrigeration state partitions and the boundary value of the intervals, wherein each interval range is at least 10 times greater than the monitoring precision of equipment;
coupling monitoring data to set equipment control parameters of corresponding partitions, wherein the control parameters comprise: the gear of the permanent-magnet direct-drive low-speed large fan, the set temperature of the central air conditioner, the wind power level and the air outlet direction are controlled according to the controllable parameters of the actual central air conditioner.
Preferably, the step of coordinating human body comfort level and energy consumption by using an intelligent algorithm to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination comprises the following steps:
predicting the outdoor temperature and humidity at the next moment through a temperature and humidity prediction model based on a BP neural network;
and selecting a linkage energy-saving control strategy of the permanent-magnet direct-drive low-speed large fan and the central air-conditioning system by using a comfort energy consumption coordination optimization model based on a genetic algorithm.
Preferably, the temperature and humidity prediction model based on the BP neural network is established as follows:
taking the collected environmental parameter extraction part as a training sample set, and carrying out normalization processing on sample data;
importing the normalized data into a model, and carrying out network training to obtain weight parameters;
and (5) testing the trained model by using a prediction test sample, and importing work after verifying the accuracy of prediction.
Preferably, the comfort level energy consumption coordination optimization model based on the genetic algorithm is established as follows:
taking the collected environmental parameters, prediction parameters, building indoor parameters and power curves of a central air conditioner and a permanent magnet direct-drive low-speed large fan as preconditions;
the human comfort degree and the power consumption are used as constraint conditions, a multi-objective optimization model is established by utilizing a genetic algorithm, and an optimal linkage energy-saving control strategy is obtained, wherein the control strategy comprises the wind power level, the air outlet direction and the temperature setting of a central air conditioner, and the gear and the running time of a fan.
A system for realizing the linkage regulation and control method of the permanent magnet direct-drive low-speed large fan and a central air conditioning system comprises a data acquisition module, a data transmission module, a controller module, a control platform module and terminal equipment, wherein the data acquisition module comprises a temperature and humidity sensor, a PM2.5 sensor and an air speed sensor, the data transmission module comprises a gateway, a communication mode and a router, and the controller module comprises a fan controller and a central air conditioning controller;
the data acquisition module is used for acquiring indoor and outdoor environmental parameters and periodically updating the environmental parameters according to a set time interval, wherein the environmental parameters comprise at least one of indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor PM2.5 indexes and outdoor wind speed;
the control platform module is used for formulating a permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation strategy according to the monitored indoor and outdoor environmental parameters; the method comprises the steps that a permanent-magnet direct-drive low-speed large fan and a central air conditioning system are controlled in a linkage mode, the linkage control method comprises multiple control states and gear levels, and a temperature-division control mode is adopted, wherein each temperature region uses at most one control state; the method is used for coordinating human body comfort level and energy consumption based on environmental parameters by using an intelligent algorithm to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination, and optimal control with minimum energy consumption is achieved under the condition that the requirement of indoor human body comfort level is guaranteed.
Preferably, the data transmission module adopts a near field communication technology, and a communication mode needs to be selected according to a specific scene and the adaptability of the equipment; the control platform module is used for importing a control strategy through java language, importing the uploaded monitoring data into a prediction and optimization model for analysis and calculation by utilizing the equipment data calculation processing capacity, and completing the control of the terminal equipment; and designing a visual interface and a control interface of the terminal equipment, wherein the visual interface is used for displaying monitored real-time indoor and outdoor environmental parameters and the working state of the system equipment, and the control interface realizes control functions including manual regulation and automatic regulation.
Compared with the prior art, the invention at least has the following beneficial effects:
the method disclosed by the invention combines the advantages of low energy consumption of the permanent-magnet direct-drive low-speed large fan and strong cooling capacity of the air conditioner to carry out linkage control, so that the comfort level is ensured, the energy consumption is saved to the maximum extent, the energy consumption of a building is reduced, and the greenhouse effect is improved. The method can quickly purify indoor air, complete indoor ventilation and air exchange and reduce the concentration of indoor pollutants; the method of the invention can improve the setting temperature of the air conditioner by utilizing the permanent magnet direct-driven low-speed big fan, thereby achieving the effect of preventing the occurrence of air conditioner diseases; the method of the invention sets the control mode according to the detection data, has simple control structure, less control equipment, high reliability and easy realization.
Drawings
FIG. 1 is a schematic flow chart of a method for controlling the linkage between a permanent-magnet direct-drive low-speed large fan and a central air conditioning system according to the present invention;
FIG. 2 is a comparison diagram of energy consumption of the linkage control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system provided by the invention and the control method of the traditional air conditioner and the permanent magnet direct-drive low-speed big fan;
fig. 3 is a diagram of a temperature and humidity prediction model structure based on a BP neural network provided in the present invention;
FIG. 4 is a flow chart of a genetic algorithm provided by the present invention;
fig. 5 is a block diagram of a permanent magnet direct-drive low-speed large fan and central air-conditioning linkage control system provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, a method for controlling linkage between a permanent-magnet direct-drive low-speed large fan and a central air conditioning system according to an embodiment of the present invention includes the following steps:
step 1: the sensor monitors indoor and outdoor real-time parameters and transmits monitoring results to the control platform through the gateway;
step 2: the control platform firstly judges the indoor PM2.5 index and judges whether the equipment enters a ventilation state;
and step 3: if the judgment result is no or the equipment finishes the ventilation operation, further judging the indoor and outdoor temperature;
and 4, step 4: and transmitting the judgment result to each equipment controller, and issuing a command by the controller to complete the control and state switching of the terminal equipment.
In step 2, firstly, PM2.5 index discrimination is performed, and specific discrimination conditions and equipment working states include the following conditions:
case 1: if the indoor PM2.5 index is larger than the value x, entering a ventilation state, and controlling the large fan to work in a first-stage gear state by the controller, wherein the working time is preset time t;
case 2: if the indoor PM2.5 index is larger than the value y, entering a ventilation state, and controlling the large fan to work in a second-stage gear state by the controller, wherein the working time is preset time t;
case 3: if the indoor PM2.5 index is larger than the numerical value z, the ventilation state is entered, the controller controls the large fan to work in the second-stage gear state, and the working time is the preset time t 1 Linearly increasing the working time t according to the indoor PM2.5 exponent 1 ，t 1 The calculation formula is as follows:
t 1 ＝kM PM2.5
where k is the growth coefficient, M PM2.5 Is PM2.5 index;
when the index of the indoor PM2.5 is lower than the value x in the step 3, judging the indoor temperature, wherein specific judging conditions and equipment working states comprise the following conditions:
case 1): if the indoor temperature is less than a given reference temperature T min When the air conditioner enters a heating state, the controller controls the air conditioner to start to enter a heating mode;
case 2): if the indoor temperature is greater than a given reference temperature T max Outdoor temperature not exceeding T max Entering a first-stage refrigeration state:
case 3): if the indoor temperature and the outdoor temperature are greater than the given reference temperature T max Entering a secondary refrigeration state;
case 4): if the indoor temperature is T min -T max If the air conditioner and the permanent magnet direct-drive low-speed large fan are not started, the original state is kept unchanged;
case 5): if the indoor temperature is T min -T max If the air conditioner and the permanent magnet direct-drive low-speed big fan are both in a starting state, controlling the permanent magnet direct-drive low-speed big fan to work in a first-stage gear, and enabling the air conditioner to enter a low-power refrigeration working mode;
case 6): if the indoor temperature is T min -T max If the air conditioner is in the starting state, controlling the air conditioner to enter a low-power heating mode;
the primary refrigeration state, specifically, the determination condition and the equipment operating state in case 2) include the following cases:
case (1): if the indoor temperature is at T max When the temperature is in the range of-T1, the controller controls the indoor large fan to start and work in a first-stage gear; if the air conditioner is in a starting state, the air conditioner is turned off;
case (2): if the indoor temperature is in the range of T1-T2, the controller controls the indoor large fan to start and work in a second-stage gear; if the air conditioner is in a starting state, the air conditioner is turned off;
case (3): if the indoor temperature is in the range of exceeding T2, the controller controls the indoor large fan to start and work in a third-stage gear; and if the air conditioner is in the starting state, closing the air conditioner.
The secondary refrigeration state, specifically, the determination condition and the equipment operating state in case 3) include the following cases:
case (1): if the indoor temperature is at T max When the temperature is in the range of-T1, the controller controls the large fan to start and work in a first-stage gear(ii) a If the air conditioner is in a starting state, entering a low-power mode to operate;
case (2): if the indoor temperature is in the range of T1-T2, the controller controls the large fan to start and work in a second-stage gear; if the air conditioner is in a starting state, the low-power mode is started to operate;
case (3): if the indoor temperature is within the range of T2-T3, the controller controls the large fan to start and work in a third-stage gear; if the air conditioner is in a starting state, the low-power mode is started to operate;
case (4): if the indoor temperature is within the range of T3-T4, the controller starts a large fan air conditioner linkage control mode, and the controller controls the large fan and the air conditioner to start and work in a first linkage working state;
case (5): if the indoor temperature is within the range of T4-T5, the controller starts a large fan air conditioner linkage control mode, and the controller controls the large fan and the air conditioner to start and work in a second linkage working state;
case (6): if the indoor temperature is within the range of T5-T6, the controller starts a large fan air conditioner linkage control mode, and the controller controls the large fan and the air conditioner to start and work in a third linkage working state;
case (7): if the indoor temperature is in the range of T6-T7, the controller starts a permanent magnet direct-drive low-speed large fan and central air conditioner linkage control mode, and the controller controls the large fan and the central air conditioner to start and work in a fourth linkage working state;
the reference temperature interval and the linkage working states of the permanent magnet direct-drive low-speed big fans and the central air conditioner are obtained through calculation of an intelligent algorithm, and the intelligent algorithm specifically comprises the following steps:
as shown in fig. 3, the control system performs coupling processing on the sensor data, and performs multivariate joint prediction on the state quantity through a BP neural network algorithm.
The method for predicting the environmental parameters at the next moment by applying a neural network algorithm according to the detected environmental parameters comprises the following steps:
step 1): determining an initial data set;
step 2): and performing FIR filtering on the initial data set to eliminate interference items, then performing normalization processing on the data, importing the processed data into a BP neural network model for training, and obtaining and storing the weight after training.
Step 3): and predicting the environmental parameters at the next moment, simultaneously carrying out data preprocessing on the parameters, comparing the relative error between the predicted value and the actual value, and judging whether the data set needs to be updated or not.
Optimizing and calculating the control parameters of the terminal equipment by using a genetic algorithm according to the prediction result of the prediction model and the detection environment data, and comprising the following steps of:
step 1): determining an initial data set;
step 2): normalizing the initial data set, and importing the processed data into a genetic algorithm optimization comfort model to calculate control parameters of the terminal equipment;
as shown in fig. 4, the equipment control parameters are optimized in a multi-objective manner through a genetic algorithm according to the prediction information and the real-time environment parameters, and the optimization process of the genetic algorithm comprises the following steps:
step 1: determining an initial data set;
step 2: carrying out normalization processing on the initial data set, setting mutation probability, cross probability and iteration times, and configuring an optimization parameter range;
and step 3: coding the processed data to generate an initialized population, establishing a population fitness function, obtaining population individual fitness, selecting an optimal individual for judgment, outputting the individual if the population individual fitness meets the condition, otherwise, carrying out mutation and cross operation to generate a new individual, and continuing the judgment.
Therefore, the control parameters of each device are obtained, and then the linkage control is completed through the controller.
The linkage working state of each permanent magnet direct-drive low-speed large fan air conditioner specifically comprises the following steps:
the first linkage working state: the air conditioner is set to have a temperature a1, a wind power level b1 and a permanent magnet direct-drive low-speed large fan gear c1;
a second linkage operating state: the air conditioner is set with a temperature a2, a wind power level b2 and a permanent magnet direct-drive low-speed large fan gear c2;
the third linkage working state: the air conditioner is set to have a temperature a3, a wind power level b3 and a permanent magnet direct-drive low-speed large fan gear c3;
the fourth linkage working state: the air conditioner is set to have a temperature a4, a wind power level b4 and a permanent magnet direct-drive low-speed large fan gear c4;
in this embodiment, as shown in fig. 5, the data acquisition module of the permanent magnet direct-drive low-speed large fan and the central air-conditioning linkage control system completes data acquisition through coordination and cooperation of the sensors, balances that the environmental conditions in this embodiment select the ZigBee communication technology as the indoor sensor interactive data transmission mode, the 470MHz technology as the outdoor sensor interactive data transmission mode, and uses the IP/TCP protocol to realize the visual real-time display of data on the control platform. The PC end of the control platform has strong data processing capacity and high reliability, and can better realize prediction and optimization work. The controller module in the embodiment comprises an intelligent adjusting switch and an infrared forwarding device, and the intelligent adjusting switch and the infrared forwarding device are used for coordinating and controlling a large fan and a central air conditioner in terminal equipment so as to complete linkage control.
As shown in fig. 2, the embodiment tests the energy consumption of three control methods at different temperatures, and it can be seen that the large-fan air-conditioning linkage regulation and control method has an obvious energy-saving effect compared with the traditional single air-conditioning control method, although the single large fan has the advantage of low energy consumption, the temperature control range is severely limited, and the influence on the comfort level is large, and in sum, the permanent-magnet direct-drive low-speed large fan and central air-conditioning linkage regulation and control method is a control method which can save energy and ensure the comfort level of the indoor human body.
Example 1
Simulating a high pollutant index environment, and testing a central air conditioner and a large fan in a laboratory room by using a permanent magnet direct-drive low-speed large fan and central air conditioner linkage control method;
according to the actual environmental parameters of the laboratory, setting reference values x =100, y =200, z =300 and t =1800s, wherein the data monitored by the sensor can be correctly transmitted to the control platform, the parameters issued by the control platform can enable the controller to control the large fan to work in a corresponding state, and after the ventilation state is finished, the indoor pollutant index is reduced to be within a standard range.
Example 2
In a hot environment, testing a central air conditioner and a large fan in a laboratory room by using a permanent magnet direct-drive low-speed large-fan air conditioner linkage control method;
according to the actual environmental parameters of the laboratory, the set reference value is calculated through an algorithm
TABLE 1 laboratory Equipment parameter settings
According to the temperature data of sensor monitoring, the big fan and air conditioner can be controlled to the controller and linkage work is carried out, and state switching speed is fast, and the accuracy is high, and the comfort level is higher.
Example 3
In a high pollutant index and hot environment, testing a central air conditioner and a large fan in a laboratory room by using a permanent magnet direct-drive low-speed large fan air conditioner linkage control method;
according to the actual environmental parameters of the laboratory, after the reference value is set, the controller can firstly control the equipment to enter a ventilation state, after the state is finished, the equipment enters a refrigeration state, the temperature in the room is reduced, the control sequence of the controller is verified to be correct through testing, the state switching speed is high, and the laboratory can quickly enter a comfortable state.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A linkage regulation and control method for a permanent-magnet direct-drive low-speed large fan and a central air conditioning system is characterized by comprising the following steps:
obtaining indoor and outdoor environmental parameters, periodically updating the environmental parameters according to a set time interval, and formulating a permanent magnet direct-drive low-speed big fan and central air conditioning system linkage regulation strategy according to the monitored indoor and outdoor environmental parameters, wherein the environmental parameters comprise at least one of indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor PM2.5 index and outdoor wind speed;
the method comprises the steps of performing linkage regulation and control on a permanent-magnet direct-drive low-speed large fan and a central air conditioning system, wherein the linkage regulation and control method comprises multiple control states and gear levels, and adopts a temperature-divided temperature zone regulation and control mode, wherein each temperature zone uses at most one control state;
based on environmental parameters, an intelligent algorithm is used for coordinating human body comfort level and energy consumption to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination, and optimal control with minimum energy consumption is achieved under the condition that the indoor human body comfort level requirement is guaranteed.
2. The linkage regulation and control method of the permanent magnet direct-drive low-speed large fan and the central air-conditioning system according to claim 1, characterized by comprising the following steps:
the permanent magnet direct-drive low-speed large fan is driven by a low-speed large-torque permanent magnet synchronous motor, a fan body of the fan and the motor are of a direct-connected integrated connecting structure, and a base of the fan is embedded in a wall and is reinforced by high-strength bolts;
the permanent-magnet direct-drive low-speed large fan adopts a coupled design of a fan blade shape and an inclination angle, and when the equipment runs, pressure difference is generated on the front side and the rear side of the fan blade of the fan and is pumped into outdoor fresh air, so that ventilation is realized;
the permanent-magnet direct-drive low-speed large fan is provided with a plurality of gear levels for operation setting, a long fan blade low-rotating-speed operation mode is used, variable-speed feedforward control is adopted, and spiral air masses are stirred and dispersed in a short distance.
3. The linkage regulation and control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system according to claim 1, characterized by comprising the following steps: the steps of temperature zone calculation, equipment regulation and control level, gear selection and control state determination comprise:
the control state is characterized by three states, namely a ventilation state, a refrigeration state and a heating state, the equipment enters the corresponding control state according to different environment parameters, the control states are regulated and controlled in different regions, and the regions are obtained by calculation according to the collected environment parameters and a comfort level energy consumption coordination optimization model;
when the indoor PM2.5 index exceeds a given threshold value and the outdoor PM2.5 index is in a reference range, the permanent magnet direct-drive low-speed large fan system enters a ventilation state; judging the indoor temperature when the ventilation and air exchange state is finished or the PM2.5 index does not meet the requirement of the ventilation and air exchange state, and entering a refrigeration state when the indoor temperature exceeds a given parameter range; and entering a heating state below a given parameter range.
4. The linkage regulation and control method of the permanent magnet direct-drive low-speed large fan and the central air conditioning system according to claim 3, wherein the partition setting in the ventilation state comprises the following steps:
determining the number of intervals and the boundary value of the intervals of the ventilation and air exchange state partitions, wherein each interval range is at least 10 times larger than the monitoring precision of equipment;
coupling monitoring data sets up the equipment control parameter of corresponding interval, equipment control parameter includes: the permanent magnet directly drives the gear and the working time of the low-speed large fan.
5. The linkage regulation and control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system according to claim 3, wherein the partition setting in the refrigeration state comprises:
determining the number of intervals of the refrigeration state partitions and the boundary value of the intervals, wherein each interval range is at least 10 times greater than the monitoring precision of equipment;
coupling monitoring data to set equipment control parameters of corresponding partitions, wherein the control parameters comprise: the gear of the permanent-magnet direct-drive low-speed large fan, the set temperature of the central air conditioner, the wind power level and the air outlet direction are controlled according to the controllable parameters of the actual central air conditioner.
6. The linkage regulation and control method of the permanent-magnet direct-drive low-speed big fan and the central air conditioning system according to claim 1, wherein the step of coordinating human comfort level and energy consumption by using an intelligent algorithm to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination comprises the following steps:
predicting the outdoor temperature and humidity at the next moment through a temperature and humidity prediction model based on a BP neural network;
and selecting a linkage energy-saving control strategy of the permanent-magnet direct-drive low-speed large fan and the central air-conditioning system by using a comfort energy consumption coordination optimization model based on a genetic algorithm.
7. The linkage regulation and control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system according to claim 6, wherein the temperature and humidity prediction model based on the BP neural network is established as follows:
taking the collected environmental parameter extraction part as a training sample set, and carrying out normalization processing on sample data;
importing the normalized data into a model, and carrying out network training to obtain weight parameters;
and (5) testing the trained model by using a prediction test sample, and importing work after verifying the accuracy of prediction.
8. The linkage regulation and control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system according to claim 6, characterized in that the comfort level energy consumption coordination optimization model based on the genetic algorithm is established as follows:
taking collected environmental parameters, prediction parameters, building indoor parameters and power curves of a central air conditioner and a permanent magnet direct-drive low-speed large fan as prerequisites;
the human body comfort degree and the power consumption are used as constraint conditions, a multi-objective optimization model is established by utilizing a genetic algorithm, and an optimal linkage energy-saving control strategy is obtained, wherein the control strategy comprises the wind power level, the air outlet direction and the temperature setting of a central air conditioner, and the gear and the running time of a fan.
9. A system for realizing the linkage regulation and control method of the permanent magnet direct-drive low-speed big fan and the central air conditioning system according to any one of claims 1 to 8 is characterized by comprising a data acquisition module, a data transmission module, a controller module, a control platform module and terminal equipment, wherein the data acquisition module comprises a temperature and humidity sensor, a PM2.5 sensor and an air speed sensor, the data transmission module comprises a gateway, a communication mode and a router, and the controller module comprises a fan controller and a central air conditioning controller;
the data acquisition module is used for acquiring indoor and outdoor environmental parameters and periodically updating the environmental parameters according to a set time interval, wherein the environmental parameters comprise at least one of indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor PM2.5 indexes and outdoor wind speed;
the control platform module is used for formulating a permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation strategy according to the monitored indoor and outdoor environmental parameters; the method comprises the steps that a permanent-magnet direct-drive low-speed large fan and a central air conditioning system are controlled in a linkage mode, the linkage control method comprises multiple control states and gear levels, and a temperature-division control mode is adopted, wherein each temperature region uses at most one control state; the method is used for coordinating human body comfort level and energy consumption based on environmental parameters by using an intelligent algorithm to complete temperature zone calculation, equipment regulation and control level, gear selection and control state determination, and optimal control with minimum energy consumption is achieved under the condition that the requirement of indoor human body comfort level is guaranteed.
10. The system of claim 9, wherein the data transmission module employs a near field communication technology, and a communication mode is selected according to a specific scene and device adaptability; the control platform module is used for importing a control strategy through java language, importing the uploaded monitoring data into a prediction and optimization model for analysis and calculation by utilizing the equipment data calculation processing capacity, and completing the control of the terminal equipment; and designing a visual interface and a control interface of the terminal equipment, wherein the visual interface is used for displaying monitored real-time indoor and outdoor environmental parameters and the working state of the system equipment, and the control interface realizes control functions including manual regulation and automatic regulation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211355734.2A CN115758680A (en) | 2022-11-01 | 2022-11-01 | Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211355734.2A CN115758680A (en) | 2022-11-01 | 2022-11-01 | Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115758680A true CN115758680A (en) | 2023-03-07 |
Family
ID=85355163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211355734.2A Pending CN115758680A (en) | 2022-11-01 | 2022-11-01 | Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115758680A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116839185A (en) * | 2023-07-04 | 2023-10-03 | 重庆大学 | Air conditioner temperature regulation and control method and system |
-
2022
- 2022-11-01 CN CN202211355734.2A patent/CN115758680A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116839185A (en) * | 2023-07-04 | 2023-10-03 | 重庆大学 | Air conditioner temperature regulation and control method and system |
| CN116839185B (en) * | 2023-07-04 | 2024-04-05 | 重庆大学 | Air conditioner temperature regulation and control method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110298487B (en) | Indoor temperature prediction method for meeting personalized demands of users | |
| CN104566868B (en) | A kind of central air conditioning system and its control method | |
| CN103912966B (en) | A kind of earth source heat pump refrigeration system optimal control method | |
| KR101972227B1 (en) | Smart home controlling apparatus based intellect learning and method thereof | |
| CN113513800B (en) | Fresh air system control method and device based on CO2 concentration and building ventilation rate | |
| CN109974218A (en) | A kind of multi-online air-conditioning system regulation method based on prediction | |
| CN109869866A (en) | A kind of intelligent environment control system based on indoor accurate position and automatic imitation | |
| CN114896664B (en) | Park building photovoltaic integrated enclosure structure optimization method and system | |
| CN115686095A (en) | Energy-saving comprehensive control method and device for intelligent building | |
| CN115758680A (en) | Permanent magnet direct-drive low-speed large fan and central air conditioning system linkage regulation and control method and system | |
| CN115807996A (en) | Multi-split air conditioning system optimization control and building household energy efficiency assessment method and system | |
| CN115540114A (en) | Indoor environment optimized lifting heating and ventilation control system and method | |
| CN115882463A (en) | Commercial building air conditioner load schedulable potential evaluation method | |
| CN117329665B (en) | Air conditioner indoor linkage control method and system based on intelligent AI algorithm | |
| CN113757852A (en) | Multi-split air conditioning unit control method and system based on digital twinning technology | |
| CN109631265A (en) | Large-scale public space comfort level intelligent regulating system | |
| CN116045459B (en) | Energy-saving operation method and equipment for air conditioner | |
| CN111043717B (en) | Building automation environment temperature control method and system | |
| CN111144610A (en) | Urban building energy hub optimization method and system considering human body temperature comfort | |
| Fang et al. | Optimization of Air Conditioning Energy Consumption Based on Indoor Comfort Degree | |
| CN114234373A (en) | Control method and device of fresh air environmental control unit and fresh air environmental control unit | |
| CN114925978A (en) | Energy-saving and purification comprehensive potential evaluation method for natural ventilation of net zero energy consumption building | |
| CN114912788A (en) | Evaluation method and system for energy-saving technical scheme of ultralow-energy-consumption residential building | |
| CN112524763A (en) | Indoor temperature balance system based on streamlined control | |
| CN112013525A (en) | Fresh air control system and control method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |