CN113074450A - Central air conditioner terminal group intelligent control system and method based on 5G communication - Google Patents
Central air conditioner terminal group intelligent control system and method based on 5G communication Download PDFInfo
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- CN113074450A CN113074450A CN202110311157.6A CN202110311157A CN113074450A CN 113074450 A CN113074450 A CN 113074450A CN 202110311157 A CN202110311157 A CN 202110311157A CN 113074450 A CN113074450 A CN 113074450A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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Abstract
The invention discloses a central air conditioner terminal group intelligent control system based on 5G communication, which comprises an environmental parameter sensing unit, a group intelligent computing node, an air conditioner terminal intelligent control unit, a 5G communication unit and a central air conditioner terminal device, wherein the environmental parameter sensing unit is used for sensing environmental parameters of a central air conditioner terminal group; the environment parameter sensing unit mainly comprises an environment temperature and humidity monitoring module, and is used for monitoring and uploading environment temperature and humidity data in real time and transmitting mass data to the group intelligent computing nodes through the 5G communication unit. According to the invention, through a group intelligent architecture and an algorithm, the system is flat and non-centralized, the parameter setting and control of the air conditioner tail ends are not performed independently any more, all the air conditioner tail ends in the building are classified and grouped and networked through group intelligent computing nodes, the sensing capability of the tail end equipment to the environment can be enlarged, and simultaneously, the parameter value is optimized according to the running condition of the tail ends close to the same group, so that the parameter setting is more stable, and the overall energy consumption is optimized.
Description
Technical Field
The invention belongs to the field of automatic control of environment temperature and humidity and energy efficiency improvement, and particularly relates to a central air conditioner terminal group intelligent control system based on 5G communication; meanwhile, the invention also relates to a central air conditioner terminal group intelligent control method based on 5G communication.
Background
The central air conditioner has wide application scenes, is more and more commonly used in the fields of commerce, industry, education, medical treatment and the like, but is different from a split air conditioner in that a central air conditioner system is complex and is divided into a cold source end and a tail end, the cold source end and the hot source end are generally provided with a control system, but the tail end is not always provided with a control means, and an open type management mode ensures that the energy consumption of the central air conditioner system is high on one hand and the conditions of uneven cold and heat and the like also often occur on the other hand.
At present, centralized control and manual parameter setting are mostly adopted for terminal control of the central air-conditioning system, and although the extensive energy utilization situation is improved to a certain extent, the operation mode mainly depending on manual experience still has the possibility of greater energy waste and misoperation. In recent years, the research on the automatic control technology of the cold and heat source of the central air conditioner is deepened more and more, the source end optimization control of the central air conditioner is more and more mature, but the tail end of the air conditioner lacks of a control means, so that the whole energy efficiency of the central air conditioner system is improved, and the control on the environmental comfort level is greatly hindered. Therefore, the overall perception and control of the air conditioner terminal is the key for the intelligent promotion of the air conditioner in the future.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a bifidobacterium oral liquid which optimizes the running state of adjacent tail ends on the premise of meeting the basic requirement of human comfort, reduces the temperature difference of different spaces and the discomfort of people when crossing areas on one hand, and enables the tail ends in the refrigeration center position or the area with smaller cold demand to utilize the cold radiation of the adjacent areas as far as possible to reduce the running power consumption on the other hand.
In order to achieve the purpose, the invention provides the following technical scheme:
a central air conditioner terminal group intelligent control system based on 5G communication comprises an environmental parameter sensing unit, a group intelligent computing node, an air conditioner terminal intelligent control unit, a 5G communication unit and a central air conditioner terminal device;
the environment parameter sensing unit mainly comprises an environment temperature and humidity monitoring module, and is used for monitoring and uploading environment temperature and humidity data in real time and transmitting mass data to the group intelligent computing nodes through the 5G communication unit;
the intelligent cluster computing nodes are embedded in the air conditioner tail end intelligent control unit, a self-organizing operating system is arranged in each intelligent cluster computing node, a model self-identification technology is adopted, the intelligent cluster computing nodes and adjacent nodes are cooperatively interacted, edge computing and control signal output are realized locally, and actual operating parameters and results are uploaded to a main station platform through 5G;
the air conditioner terminal intelligent control unit replaces a traditional temperature controller, start-stop, temperature regulation, wind speed regulation, wind direction regulation and modification mode control are carried out according to instructions of the group intelligent computing nodes, the air conditioner terminal intelligent control unit supports local manual operation, and adjacent air conditioner terminal intelligent control units carry out data interaction and send self-set parameters to the computing nodes of the adjacent control units to serve as basic data of group intelligent computing.
Preferably, the environment parameter sensing unit is uniformly deployed at typical positions of people gathering and acting in the building according to the environment data acquisition requirement, the environment parameter sensing unit is communicated with the swarm intelligent computing nodes through the 5G communication unit, and the swarm intelligent computing nodes preliminarily compute the parameters which are corresponding to the air conditioner terminal under the current environment parameters according to a built-in algorithm.
Preferably, the group intelligent computing nodes directly issue the computing results to the air conditioner terminal intelligent control unit, and then the control unit communicates with the air conditioner terminal equipment in a wired communication mode.
A central air-conditioning terminal group intelligent control method based on 5G communication comprises the following steps:
s1, the environmental parameter sensing unit collects the environmental parameters once every 30S and sends the environmental parameters to the group intelligent computing nodes;
s2, the group intelligent computing nodes transmit data such as environment, operation parameters and the like of the node to adjacent nodes in the same group through a 5G communication module, and communication is carried out once every 5 minutes;
s3, the group intelligent computing node computes the target set values of power and temperature at the moment according to the environmental parameters and the preset mode comprehensive data of the same group;
and S4, the air conditioner tail end intelligent control unit controls the air conditioner tail end fan and the water valve device to be linked according to the set value of the group intelligent computing node.
Preferably, the group intelligent computing nodes in step S2 are configured to receive and store the environmental parameters and the operation parameter data of the adjacent computing nodes, and perform preliminary data governance and elimination.
Preferably, the group intelligent computing node determines a target function according to a set strategy for the human comfort value, and further determines the temperature and wind speed control target value of the split air conditioner in step S2.
Preferably, in step S3, performing collaborative calculation based on a group intelligence algorithm to obtain optimal setting parameters of each end, and performing correction according to real-time data to ensure that the operation parameters of the end are tracked on the optimal operation curve.
Preferably, in step S2, the 5G communication module user group intelligent computing nodes communicate with each other and upload data.
Preferably, in step S4, the mode of controlling the air conditioner terminal fan and the water valve device to perform linkage is divided into three modes, specifically: A. an energy-saving preferred mode; B. a comfort preferred mode; C. a partition control mode.
The invention has the technical effects and advantages that: through the swarm intelligence architecture and the algorithm, the system is flat and centerless, the parameter setting and control of the air conditioner terminals are not performed independently any more, all the air conditioner terminals in the building are classified and grouped and networked through swarm intelligence computing nodes, the sensing capability of terminal equipment to the environment can be enlarged, and meanwhile, the parameter value is optimized according to the running condition of the terminals close to the same group, so that the parameter setting is more stable, and the overall energy consumption is optimized.
Drawings
FIG. 1 is an architecture diagram of an intelligent control system for a central air-conditioning terminal group based on 5G communication according to the present invention;
fig. 2 is a flowchart of an intelligent control method for a central air-conditioning end group based on 5G communication according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the 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.
Example 1
The invention provides a central air conditioner terminal group intelligent control system based on 5G communication as shown in figure 1, which is characterized by comprising an environmental parameter sensing unit, a group intelligent computing node, an air conditioner terminal intelligent control unit, a 5G communication unit and a central air conditioner terminal device;
the environment parameter sensing unit mainly comprises an environment temperature and humidity monitoring module, and is used for monitoring and uploading environment temperature and humidity data in real time and transmitting mass data to the group intelligent computing nodes through the 5G communication unit;
the intelligent cluster computing nodes are embedded in the air conditioner tail end intelligent control unit, a self-organizing operating system is arranged in each intelligent cluster computing node, a model self-identification technology is adopted, the intelligent cluster computing nodes and adjacent nodes are cooperatively interacted, edge computing and control signal output are realized locally, and actual operating parameters and results are uploaded to a main station platform through 5G;
the air conditioner tail end intelligent control unit replaces a traditional temperature controller, start-stop, temperature regulation, wind speed regulation, wind direction regulation and modification mode control are carried out according to instructions of the group intelligent computing nodes, the air conditioner tail end intelligent control unit supports local manual operation, data interaction of adjacent air conditioner tail end intelligent control units is carried out, and self-set parameters are sent to the computing nodes of the adjacent control units to serve as basic data of group intelligent computing;
the environment parameter sensing unit is uniformly deployed at typical positions of people gathering and acting in the building according to the environment data acquisition requirement, and is communicated with the swarm intelligent computing nodes through the 5G communication unit, and the swarm intelligent computing nodes preliminarily compute the parameters which are corresponding to the air conditioner tail end under the current environment parameters according to a built-in algorithm;
the group intelligent computing nodes directly issue the computing results to an air conditioner terminal intelligent control unit, and then the control unit communicates with air conditioner terminal equipment in a wired communication mode;
through the design, mainly through global perception and the group intelligent computation of the terminal environmental parameter of central air conditioning system, the setting parameter value of each air conditioner end is optimized automatically, under the prerequisite that satisfies human comfort level basic demand, optimize the running state of adjacent end, reduce the temperature difference in different spaces on the one hand, reduce the uncomfortable sense of personnel when crossing over the region, on the other hand, make the end that is in refrigeration central point position or needs the less region of cold volume utilize the cold radiation of adjacent region as far as possible, reduce the operation consumption, secondly, utilize 5G communication technology, can support like the office building, commercial synthesis, scene such as large-scale hospital massively end, distribute extensively, the far-spaced problem.
Example 2
A central air-conditioning terminal group intelligent control method based on 5G communication comprises the following steps:
s1, the environmental parameter sensing unit collects the environmental parameters once every 30S and sends the environmental parameters to the group intelligent computing nodes;
s2, the group intelligent computing nodes transmit data such as environment, operation parameters and the like of the node to adjacent nodes in the same group through a 5G communication module, and communication is carried out once every 5 minutes;
the group intelligent computing nodes in the step S2 are used for receiving and storing the environmental parameters and the operation parameter data of the adjacent computing nodes, and performing primary data management and elimination;
the group intelligent computing node determines a target function according to a set strategy for the human body comfort degree computed value so as to determine the temperature and wind speed regulation and control target values of the split air conditioner in the step S2;
in step S2, the communication and data upload between the 5G communication module user group intelligent computing nodes;
s3, the group intelligent computing node computes the target set values of power and temperature at the moment according to the environmental parameters and the preset mode comprehensive data of the same group;
in step S3, performing collaborative calculation based on a group intelligent algorithm to obtain optimal setting parameters of each terminal, and correcting according to real-time data to ensure that the terminal operation parameters are tracked on an optimal operation curve;
s4, the air conditioner tail end intelligent control unit controls the air conditioner tail end fan and the water valve device to be linked according to the set value of the group intelligent computing node;
in step S4, the mode of controlling the air conditioner terminal fan and the water valve device to perform linkage is divided into three modes, specifically: A. an energy-saving preferred mode; B. a comfort preferred mode; C. a partition control mode.
Wherein, a. energy saving preferred mode:
in this mode, the power adjustment value of the air conditioner terminal fan is
Is G1(t) Total Power of all air conditioner terminals at the present time, D1(t) when all terminal temperatures are set as the total power value when the energy-saving performance is optimal (26 ℃ in winter and 20 ℃ in summer), the total power value is adjusted downwards when the terminal temperatures are positive values, and the total power value is adjusted upwards when the terminal temperatures are negative values;
B. comfort preferred mode
In this mode, the air conditioner terminal temperature set value is
Is Ti(T) is the temperature operation value of the air conditioner terminal at the current time i, Tis(t) the constant temperature value (the temperature value with the longest set time length in 30 days) of the user at the tail end of the i air conditioner is adjusted downwards when the value is positive, and is adjusted upwards when the value is negative;
C. partition control mode
In the mode, the air conditioner tail ends are divided into a group a, a group b and a group c … … according to different building function areas, and the power adjustment value of the air conditioner tail end fan of the group a is
Is Ga(t) Total Power of all air conditioner terminals of group a at present, Da(t) all end users of group a have a constant set temperature value (the set time length in 30 days is the longest)Temperature value) is adjusted downward for positive values and upward for negative values.
In summary, the following steps: the invention enables the system to be flat and non-centralized through the group intelligent architecture and algorithm, the parameter setting and control of the air conditioner tail end are not performed independently any more, all the air conditioner tail ends in the building are graded and grouped and networked through the group intelligent computing nodes, the sensing capability of the tail end equipment to the environment can be enlarged, simultaneously, the optimization of the parameter value is performed according to the operation condition of the tail ends close to the same group, the parameter setting is more stable, the overall energy consumption is optimized, the invention can be widely applied to places such as commercial complexes, hospitals, office buildings and the like, and has stronger compatibility and expansibility. Through adopting the group intelligent control algorithm, the flattening, the centerless interaction and the cooperation between the tail ends are realized, the complex communication problem generated in longitudinal integration and layered control is solved, the tail end control level of the central air conditioner of a large number of users can be obviously improved, the energy efficiency is improved, the environmental comfort is increased, and the problem of uneven cooling and heating of the area is reduced. On the other hand, through the 5G communication technology, huge workload of wiring is saved, and meanwhile, the problem of instantaneity of mass terminal access is effectively solved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (9)
1. A central air-conditioning terminal group intelligent control system based on 5G communication is characterized by comprising an environmental parameter sensing unit, a group intelligent computing node, an air-conditioning terminal intelligent control unit, a 5G communication unit and a central air-conditioning terminal device;
the environment parameter sensing unit mainly comprises an environment temperature and humidity monitoring module, and is used for monitoring and uploading environment temperature and humidity data in real time and transmitting mass data to the group intelligent computing nodes through the 5G communication unit;
the intelligent cluster computing nodes are embedded in the air conditioner tail end intelligent control unit, a self-organizing operating system is arranged in each intelligent cluster computing node, a model self-identification technology is adopted, the intelligent cluster computing nodes and adjacent nodes are cooperatively interacted, edge computing and control signal output are realized locally, and actual operating parameters and results are uploaded to a main station platform through 5G;
the air conditioner terminal intelligent control unit replaces a traditional temperature controller, start-stop, temperature regulation, wind speed regulation, wind direction regulation and modification mode control are carried out according to instructions of the group intelligent computing nodes, the air conditioner terminal intelligent control unit supports local manual operation, and adjacent air conditioner terminal intelligent control units carry out data interaction and send self-set parameters to the computing nodes of the adjacent control units to serve as basic data of group intelligent computing.
2. A bifidobacterium oral liquid as claimed in claim 1 wherein: the environment parameter sensing unit is uniformly deployed at typical positions of people gathering and acting in the building according to the environment data acquisition requirement, the 5G communication unit is used for communicating with the swarm intelligent computing nodes, and the swarm intelligent computing nodes preliminarily compute the parameters which are corresponding to the air conditioner terminal under the current environment parameters according to a built-in algorithm.
3. A bifidobacterium oral liquid as claimed in claim 1 wherein: and the group intelligent computing nodes directly issue the computing results to an air conditioner terminal intelligent control unit, and then the control unit communicates with the air conditioner terminal equipment in a wired communication mode.
4. A central air-conditioning terminal group intelligent control method based on 5G communication is characterized in that: the method comprises the following steps:
s1, the environmental parameter sensing unit collects the environmental parameters once every 30S and sends the environmental parameters to the group intelligent computing nodes;
s2, the group intelligent computing nodes transmit data such as environment, operation parameters and the like of the node to adjacent nodes in the same group through a 5G communication module, and communication is carried out once every 5 minutes;
s3, the group intelligent computing node computes the target set values of power and temperature at the moment according to the environmental parameters and the preset mode comprehensive data of the same group;
and S4, the air conditioner tail end intelligent control unit controls the air conditioner tail end fan and the water valve device to be linked according to the set value of the group intelligent computing node.
5. The intelligent control method for the central air-conditioning end group based on the 5G communication is characterized by comprising the following steps of: and step S2, the group intelligent computing nodes are used for receiving and storing the environmental parameters and the operation parameter data of the adjacent computing nodes, and performing primary data management and elimination.
6. The intelligent control method for the central air-conditioning end group based on the 5G communication is characterized by comprising the following steps of: the group intelligent computing node in the step S2 determines a target function according to a set strategy for the human comfort value, and further determines a temperature and wind speed regulation target value of the split air conditioner.
7. The intelligent control method for the central air-conditioning end group based on the 5G communication is characterized by comprising the following steps of: in step S3, performing collaborative calculation based on a group intelligence algorithm to obtain optimal setting parameters of each terminal, and performing correction according to real-time data to ensure that the terminal operation parameters are tracked on the optimal operation curve.
8. The intelligent control method for the central air-conditioning end group based on the 5G communication is characterized by comprising the following steps of: in step S2, the 5G communication module is used for communication and data upload between the user group intelligent computing nodes.
9. The intelligent control method for the central air-conditioning end group based on the 5G communication is characterized by comprising the following steps of: in step S4, the mode of controlling the air conditioner terminal fan and the water valve device to perform linkage is divided into three modes, specifically: A. an energy-saving preferred mode; B. a comfort preferred mode; C. a partition control mode.
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