CN117515808A - Central air conditioning cold and heat source energy-saving intelligent control system - Google Patents

Central air conditioning cold and heat source energy-saving intelligent control system Download PDF

Info

Publication number
CN117515808A
CN117515808A CN202410016928.2A CN202410016928A CN117515808A CN 117515808 A CN117515808 A CN 117515808A CN 202410016928 A CN202410016928 A CN 202410016928A CN 117515808 A CN117515808 A CN 117515808A
Authority
CN
China
Prior art keywords
central air
air conditioner
temperature
time
working environment
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
Application number
CN202410016928.2A
Other languages
Chinese (zh)
Inventor
蒋元劼
王子良
吴其淦
高兴林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Bojiu Technology Engineering Co ltd
Original Assignee
Shenzhen Bojiu Technology Engineering Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Bojiu Technology Engineering Co ltd filed Critical Shenzhen Bojiu Technology Engineering Co ltd
Priority to CN202410016928.2A priority Critical patent/CN117515808A/en
Publication of CN117515808A publication Critical patent/CN117515808A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses a central air-conditioning cold and heat source energy-saving intelligent control system, which relates to the technical field of central air-conditioning and comprises the following components: the temperature setting module is used for determining a temperature regulation target value; the environment heat conduction analysis module is used for analyzing the heat influence rate; the temperature monitoring module is used for monitoring real-time working temperature and external influence temperature in real time; the efficiency calculation module is used for constructing an output efficiency demand model of the central air conditioner; the time setting module is used for determining a target moment; and the control analysis module is used for controlling the running start of the central air conditioner. The invention has the advantages that: the intelligent control on the temperature requirement of the user on the central air conditioner can be realized, and the energy consumption of the central air conditioner is reduced to the greatest extent on the basis of meeting the control requirement of the user on the temperature.

Description

Central air conditioning cold and heat source energy-saving intelligent control system
Technical Field
The invention relates to the technical field of central air conditioners, in particular to an energy-saving intelligent control system for cold and heat sources of a central air conditioner.
Background
The central air conditioning system consists of one or more cold and heat source systems and a plurality of air conditioning systems, and adopts the principle of liquid vaporization refrigeration to provide required cold energy for the air conditioning systems so as to offset the heat load of indoor environment; the heating system provides the air conditioning system with the required heat to counteract the indoor environmental cooling and heating load.
When the conventional central air conditioner is started in a timing regulation way, the starting according to a preset time point can only be realized, the intelligent regulation and control starting is difficult to be carried out by combining the regulation and control requirement time point, the regulation and control temperature and the environmental temperature of a user, and the timing starting moment set by the user is difficult to meet the requirement of the user to reach the temperature regulation and control target at the regulation and control requirement time point, so that the user is difficult to obtain the optimal use experience.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides the central air conditioner cold and heat source energy-saving intelligent control system, and solves the problems that the timing starting moment set by a user is difficult to meet the temperature regulation and control target at the regulation and control requirement time point, so that the user is difficult to obtain the optimal use experience.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an energy-saving intelligent control system for a cold and heat source of a central air conditioner comprises:
the temperature setting module is used for determining a temperature regulation target value of the central air conditioner;
the environment heat conduction analysis module is used for analyzing the heat influence rate of the external environment on the internal working environment of the central air conditioner;
the temperature monitoring module is used for monitoring the temperature inside the working environment of the central air conditioner in real time, marking the temperature as real-time working temperature, and monitoring the temperature outside the working environment of the central air conditioner in real time, marking the temperature as external influence temperature;
the efficiency calculation module is electrically connected with the temperature setting module, the environment heat conduction analysis module and the temperature monitoring module, and is used for constructing an output efficiency demand model of the central air conditioner based on a temperature regulation and control target value, a real-time working temperature and an external influence temperature of the central air conditioner;
the time setting module is used for determining a target moment when the real-time working temperature reaches a temperature regulation target value;
the control analysis module is electrically connected with the efficiency calculation module and the time setting module, and is used for controlling the running start of the central air conditioner based on the output efficiency demand model of the central air conditioner and the target time when the real-time working temperature reaches the temperature regulation target value.
Preferably, the temperature monitoring module at least includes:
the internal temperature monitoring unit is at least provided with one, is arranged in the working environment of the central air conditioner and is used for monitoring the temperature in the working environment of the central air conditioner in real time;
the external temperature monitoring unit is at least provided with one, and is arranged outside the working environment of the central air conditioner and used for monitoring the temperature outside the working environment of the central air conditioner in real time.
Preferably, the analyzing the heat influence rate of the external environment to the internal working environment of the central air conditioner specifically includes:
determining the external temperature of the working environment of the central air conditioner at the initial moment, and recording the external initial temperature;
starting a central air conditioner to regulate the temperature inside the working environment of the central air conditioner to be any temperature different from the temperature outside the working environment of the central air conditioner, and closing the central air conditioner;
setting an analysis period;
the method comprises the steps of utilizing an internal temperature monitoring unit to monitor the temperature in the working environment of a central air conditioner in real time in an analysis period to obtain an internal temperature change curve;
acquiring the space volume inside the working environment of the central air conditioner and isolating the surface area of the wall surface between the inside and the outside of the working environment of the central air conditioner;
and calculating the heat influence rate of the external environment on the internal working environment of the central air conditioner by using a heat influence rate calculation formula based on the internal temperature change curve, the external initial temperature, the space volume in the working environment of the central air conditioner and the surface areas of the internal and external isolated walls of the working environment of the central air conditioner.
Preferably, the thermal influence rate calculation formula is:
in the method, in the process of the invention,for the heat influence rate of the external environment to the internal working environment of the central air conditioner, < ->For the external initial temperature, +.>Is the temperature of the interior of the central air-conditioning working environment when the moment x on the internal temperature change curve is +.>For analysis of the period duration +.>The surface area of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner, < > and the like>Is the volume of space inside the working environment of the central air conditioner,is the specific heat capacity of air +.>For the density of air>The thickness of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner.
Preferably, the output efficiency demand model of the central air conditioner specifically includes:
in the method, in the process of the invention,to regulate the demand time to->Output efficiency requirement of central air conditioner at the time +.>In order to influence the temperature externally,is the real-time working temperature at x time, < >>To regulate the real-time working temperature at the initial time +.>Is a target value of temperature regulation and control->To regulate the time of demand.
Preferably, the control analysis module includes:
the loss calculation unit is used for calculating the loss index of the current central air conditioner;
the optimal frequency calculation unit is used for determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner;
the regulation and control demand calculation unit is used for substituting the optimal operation efficiency of the central air conditioner as the output efficiency demand of the central air conditioner into an output efficiency demand model of the central air conditioner, determining the regulation and control demand time corresponding to the optimal operation efficiency of the central air conditioner, and recording the regulation and control demand time as a first regulation and control duration;
the time analysis unit is used for judging whether the time difference between the current time and the target time when the real-time working temperature reaches the temperature regulation target value is larger than the first regulation duration, if so, the central air conditioner is not started, and if not, the central air conditioner is started to operate according to the optimal operation efficiency of the central air conditioner.
Preferably, the calculating the loss index of the current central air conditioner specifically includes:
screening out a plurality of moments exceeding rated operation parameters of the central air conditioner in historical operation data of the central air conditioner, and recording the moments as excess operation moments;
calculating a loss index of the central air conditioner according to a loss index calculation formula, wherein the loss index of the central air conditioner is used as a health state expression index of the central air conditioner;
wherein, the loss index calculation formula is:
in the method, in the process of the invention,is the loss index of the central air conditioner->For the total duration of the central air conditioner at the excess operating time,/->For the standard operating loss of the central air conditioner, +.>The running loss of the central air conditioner at the excessive running time is obtained.
Preferably, the determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner specifically includes:
determining rated operation efficiency set by a central air conditioner;
calculating the optimal operation efficiency of the central air conditioner in the current loss state by a central air conditioner loss formula based on the loss index of the central air conditioner and the rated operation efficiency of the central air conditioner;
the loss formula of the central air conditioner specifically comprises the following steps:
in the method, in the process of the invention,for the optimal operating efficiency of the central air conditioner in the current loss state, < >>Rated operating efficiency for central air conditioner +.>The design of the central air conditioner is disabled with the lowest operating efficiency, < >>Is the operation time of the central air conditioner.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an intelligent control system for cold and heat source energy conservation of a central air conditioner, which is provided by the invention through being internally provided with the intelligent control system, in the regulation and control process of the central air conditioner, the intelligent regulation and control starting can be effectively combined with the regulation and control requirement time point, the regulation and control temperature and the environment temperature of a user, when the intelligent control system is used, the user only needs to input a required temperature regulation and control target value and a target time when the real-time working temperature reaches the temperature regulation and control target value, the system provided by the invention can comprehensively calculate the optimal starting time point in the current state of the central air conditioner according to actual environment temperature data, further, the running time of the central air conditioner is minimized on the basis of ensuring that the user obtains the required regulation and control temperature, and further, the energy waste caused by the running of the central air conditioner in an unmanned state can be effectively reduced, and the intelligent energy conservation control of the central air conditioner is realized.
Drawings
Fig. 1 is a block diagram of a central air conditioner cold and heat source energy-saving intelligent control system according to the scheme;
FIG. 2 is a flow chart of a method for analyzing the heat influence rate of an external environment on the internal working environment of a central air conditioner in the scheme;
FIG. 3 is a system block diagram of a control analysis module in the present solution;
FIG. 4 is a flow chart of a method for calculating the loss index of the current central air conditioner in the scheme;
fig. 5 is a flowchart of a method for determining the optimal operation efficiency of the central air conditioner in the present embodiment.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a central air conditioner cold and heat source energy-saving intelligent control system comprises:
the temperature setting module is used for determining a temperature regulation target value of the central air conditioner;
the environment heat conduction analysis module is used for analyzing the heat influence rate of the external environment on the internal working environment of the central air conditioner;
the temperature monitoring module is used for monitoring the temperature inside the working environment of the central air conditioner in real time, marking the temperature as real-time working temperature, and monitoring the temperature outside the working environment of the central air conditioner in real time, marking the temperature as external influence temperature;
the efficiency calculation module is electrically connected with the temperature setting module, the environment heat conduction analysis module and the temperature monitoring module, and is used for constructing an output efficiency demand model of the central air conditioner based on the temperature regulation and control target value, the real-time working temperature and the external influence temperature of the central air conditioner;
the time setting module is used for determining a target moment when the real-time working temperature reaches the temperature regulation target value;
the control analysis module is electrically connected with the efficiency calculation module and the time setting module and is used for controlling the running start of the central air conditioner based on the output efficiency demand model of the central air conditioner and the target moment when the real-time working temperature reaches the temperature regulation target value.
The temperature monitoring module at least comprises:
the internal temperature monitoring unit is at least provided with one, is arranged in the central air conditioner working environment and is used for monitoring the temperature in the central air conditioner working environment in real time;
the external temperature monitoring unit is at least provided with one, and is arranged outside the central air conditioner working environment and used for monitoring the temperature outside the central air conditioner working environment in real time.
Along with the development of intelligent household appliances, remote control becomes standard of air conditioners, a user usually remotely controls the air conditioners to be started in advance so as to ensure the temperature comfort level when the user reaches a destination, and further the indoor environment in which the central air conditioner works reaches the temperature regulation target in advance, however, the time of the user started in advance often leads to unmanned operation of the central air conditioner for a certain time, and the user does not enjoy the temperature regulation service brought by the central air conditioner in part of time, and the operation of the central air conditioner can cause waste of electric power resources;
according to the intelligent control system provided by the scheme, in the regulation and control process of the central air conditioner, the intelligent regulation and control starting can be effectively carried out by combining the regulation and control requirement time point, the regulation and control temperature and the environment temperature of a user, when the intelligent control and control system is used, the user only needs to input the required temperature regulation and control target value and the target time when the real-time working temperature reaches the temperature regulation and control target value, the system provided by the scheme can comprehensively calculate the optimal starting time point under the current state of the central air conditioner according to the actual environment temperature data, and further, the running time of the central air conditioner is minimized on the basis of guaranteeing the regulation and control temperature required by the user.
Referring to fig. 2, analyzing the heat influence rate of the external environment to the internal working environment of the central air conditioner specifically includes:
determining the external temperature of the working environment of the central air conditioner at the initial moment, and recording the external initial temperature;
starting a central air conditioner to regulate the temperature inside the working environment of the central air conditioner to be any temperature different from the temperature outside the working environment of the central air conditioner, and closing the central air conditioner;
setting an analysis period;
the method comprises the steps of utilizing an internal temperature monitoring unit to monitor the temperature in the working environment of a central air conditioner in real time in an analysis period to obtain an internal temperature change curve;
acquiring the space volume inside the working environment of the central air conditioner and isolating the surface area of the wall surface between the inside and the outside of the working environment of the central air conditioner;
and calculating the heat influence rate of the external environment on the internal working environment of the central air conditioner by using a heat influence rate calculation formula based on the internal temperature change curve, the external initial temperature, the space volume in the working environment of the central air conditioner and the surface areas of the internal and external isolated walls of the working environment of the central air conditioner.
The thermal influence rate calculation formula is:
in the method, in the process of the invention,for the heat influence rate of the external environment to the internal working environment of the central air conditioner, < ->For the external initial temperature, +.>Is the temperature of the interior of the central air-conditioning working environment when the moment x on the internal temperature change curve is +.>For analysis of the period duration +.>The surface area of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner, < > and the like>Is the volume of space inside the working environment of the central air conditioner,is the specific heat capacity of air +.>For the density of air>The thickness of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner.
The output efficiency demand model of the central air conditioner specifically comprises the following steps:
in the method, in the process of the invention,to regulate the demand time to->Output efficiency requirement of central air conditioner at the time +.>In order to influence the temperature externally,is the real-time working temperature at x time, < >>To regulate the real-time working temperature at the initial time +.>Is a target value of temperature regulation and control->To regulate the time of demand.
The step of analyzing the heat influence rate of the external environment to the internal working environment of the central air conditioner is usually carried out before the initial operation of the central air conditioner;
it can be understood that in the operation control process of the central air conditioner, environmental influence factors are important factors which cannot be ignored, in the scheme, the influence of the external environment of the operation area of the central air conditioner on the internal working environment of the central air conditioner is explored by calculating the heat influence rate of internal and external heat interaction of the central air conditioner in advance, an output efficiency demand model of the central air conditioner is constructed based on the calculated heat influence rate, and the relation between the output efficiency of the central air conditioner and the time required by the central air conditioner to regulate the internal working environment temperature to a temperature regulation target is explored under the current environment temperature.
Referring to fig. 3, the control analysis module includes:
the loss calculation unit is used for calculating the loss index of the current central air conditioner;
the optimal frequency calculation unit is used for determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner;
the regulation and control demand calculation unit is used for substituting the optimal operation efficiency of the central air conditioner as the output efficiency demand of the central air conditioner into an output efficiency demand model of the central air conditioner, determining the regulation and control demand time corresponding to the optimal operation efficiency of the central air conditioner, and recording the regulation and control demand time as a first regulation and control duration;
the time analysis unit is used for judging whether the time difference between the current time and the target time when the real-time working temperature reaches the temperature regulation target value is larger than the first regulation duration, if so, the central air conditioner is not started, and if not, the central air conditioner is started to operate according to the optimal operation efficiency of the central air conditioner.
Referring to fig. 4, calculating the loss index of the current central air conditioner specifically includes:
screening out a plurality of moments exceeding rated operation parameters of the central air conditioner in historical operation data of the central air conditioner, and recording the moments as excess operation moments;
calculating a loss index of the central air conditioner according to a loss index calculation formula, wherein the loss index of the central air conditioner is used as a health state expression index of the central air conditioner;
the loss index calculation formula is as follows:
in the method, in the process of the invention,is the loss index of the central air conditioner->For the total duration of the central air conditioner at the excess operating time,/->For the standard operating loss of the central air conditioner, +.>The running loss of the central air conditioner at the excessive running time is obtained.
Referring to fig. 5, determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner specifically includes:
determining rated operation efficiency set by a central air conditioner;
calculating the optimal operation efficiency of the central air conditioner in the current loss state by a central air conditioner loss formula based on the loss index of the central air conditioner and the rated operation efficiency of the central air conditioner;
the loss formula of the central air conditioner is specifically as follows:
in the method, in the process of the invention,for the optimal operating efficiency of the central air conditioner in the current loss state, < >>Rated operating efficiency for central air conditioner +.>For central air-conditioningDesign minimum operational efficiency of discard->Is the operation time of the central air conditioner.
It can be understood that, as the running time of the central air conditioner increases, the internal components of the central air conditioner are worn, so that the running efficiency of the central air conditioner gradually decreases, and the wear of the components of the equipment is accelerated when the equipment is in an excessive running state, therefore, in the scheme, the wear coefficient of the central air conditioner is calculated based on the historical running data of the central air conditioner, the current maximum running efficiency of the equipment is comprehensively calculated based on the wear coefficient of the central air conditioner and the design running efficiency of the central air conditioner, the current maximum running efficiency of the equipment is used for reflecting the running state data of the central air conditioner, and the intelligent regulation time of the central air conditioner is set by regulating the time required by regulating the internal working environment temperature to the temperature regulation target based on the optimal running efficiency of the central air conditioner in the current wear state, so that a user can be effectively ensured to enjoy the temperature regulation target service regulated by the central air conditioner at the set target moment, and then the energy waste caused by unmanned running of the central air conditioner can be effectively reduced, and the energy saving and intelligent control of the central air conditioner are realized.
In summary, the invention has the advantages that: the intelligent control on the temperature requirement of the user on the central air conditioner can be realized, and the energy consumption of the central air conditioner is reduced to the greatest extent on the basis of meeting the control requirement of the user on the temperature.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. An energy-saving intelligent control system for a cold and heat source of a central air conditioner is characterized by comprising:
the temperature setting module is used for determining a temperature regulation target value of the central air conditioner;
the environment heat conduction analysis module is used for analyzing the heat influence rate of the external environment on the internal working environment of the central air conditioner;
the temperature monitoring module is used for monitoring the temperature inside the working environment of the central air conditioner in real time, marking the temperature as real-time working temperature, and monitoring the temperature outside the working environment of the central air conditioner in real time, marking the temperature as external influence temperature;
the efficiency calculation module is electrically connected with the temperature setting module, the environment heat conduction analysis module and the temperature monitoring module, and is used for constructing an output efficiency demand model of the central air conditioner based on a temperature regulation and control target value, a real-time working temperature and an external influence temperature of the central air conditioner;
the time setting module is used for determining a target moment when the real-time working temperature reaches a temperature regulation target value;
the control analysis module is electrically connected with the efficiency calculation module and the time setting module, and is used for controlling the running start of the central air conditioner based on the output efficiency demand model of the central air conditioner and the target time when the real-time working temperature reaches the temperature regulation target value.
2. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 1, wherein the temperature monitoring module comprises at least:
the internal temperature monitoring unit is at least provided with one, is arranged in the working environment of the central air conditioner and is used for monitoring the temperature in the working environment of the central air conditioner in real time;
the external temperature monitoring unit is at least provided with one, and is arranged outside the working environment of the central air conditioner and used for monitoring the temperature outside the working environment of the central air conditioner in real time.
3. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 2, wherein the analyzing the heat influence rate of the external environment on the internal working environment of the central air conditioner specifically comprises:
determining the external temperature of the working environment of the central air conditioner at the initial moment, and recording the external initial temperature;
starting a central air conditioner to regulate the temperature inside the working environment of the central air conditioner to be any temperature different from the temperature outside the working environment of the central air conditioner, and closing the central air conditioner;
setting an analysis period;
the method comprises the steps of utilizing an internal temperature monitoring unit to monitor the temperature in the working environment of a central air conditioner in real time in an analysis period to obtain an internal temperature change curve;
acquiring the space volume inside the working environment of the central air conditioner and isolating the surface area of the wall surface between the inside and the outside of the working environment of the central air conditioner;
and calculating the heat influence rate of the external environment on the internal working environment of the central air conditioner by using a heat influence rate calculation formula based on the internal temperature change curve, the external initial temperature, the space volume in the working environment of the central air conditioner and the surface areas of the internal and external isolated walls of the working environment of the central air conditioner.
4. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 3, wherein the calculation formula of the heat influence rate is:
in the method, in the process of the invention,for the heat influence rate of the external environment to the internal working environment of the central air conditioner, < ->For the external initial temperature, +.>Is the temperature of the interior of the central air-conditioning working environment when the moment x on the internal temperature change curve is +.>For analysis of the period duration +.>The surface area of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner, < > and the like>Is the space volume inside the working environment of the central air conditioner, < + >>Is the specific heat capacity of air +.>For the density of air>The thickness of the wall surface is isolated between the inside and the outside of the working environment of the central air conditioner.
5. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 4, wherein the output efficiency demand model of the central air conditioner is specifically:
in the method, in the process of the invention,to regulate the demand time to->Output efficiency requirement of central air conditioner at the time +.>For external influencing temperature, +.>Is the real-time working temperature at x time, < >>To regulate the real-time working temperature at the initial time +.>Is a target value of temperature regulation and control->To regulate the time of demand.
6. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 5, wherein the control analysis module comprises:
the loss calculation unit is used for calculating the loss index of the current central air conditioner;
the optimal frequency calculation unit is used for determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner;
the regulation and control demand calculation unit is used for substituting the optimal operation efficiency of the central air conditioner as the output efficiency demand of the central air conditioner into an output efficiency demand model of the central air conditioner, determining the regulation and control demand time corresponding to the optimal operation efficiency of the central air conditioner, and recording the regulation and control demand time as a first regulation and control duration;
the time analysis unit is used for judging whether the time difference between the current time and the target time when the real-time working temperature reaches the temperature regulation target value is larger than the first regulation duration, if so, the central air conditioner is not started, and if not, the central air conditioner is started to operate according to the optimal operation efficiency of the central air conditioner.
7. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 6, wherein the calculating the loss index of the current central air conditioner specifically comprises:
screening out a plurality of moments exceeding rated operation parameters of the central air conditioner in historical operation data of the central air conditioner, and recording the moments as excess operation moments;
calculating a loss index of the central air conditioner according to a loss index calculation formula, wherein the loss index of the central air conditioner is used as a health state expression index of the central air conditioner;
wherein, the loss index calculation formula is:
in the method, in the process of the invention,is the loss index of the central air conditioner->For the total duration of the central air conditioner at the excess operating time,/->For the standard operating loss of the central air conditioner, +.>The running loss of the central air conditioner at the excessive running time is obtained.
8. The intelligent control system for energy conservation of cold and heat sources of a central air conditioner according to claim 7, wherein the determining the optimal operation efficiency of the central air conditioner based on the loss index of the current central air conditioner specifically comprises:
determining rated operation efficiency set by a central air conditioner;
calculating the optimal operation efficiency of the central air conditioner in the current loss state by a central air conditioner loss formula based on the loss index of the central air conditioner and the rated operation efficiency of the central air conditioner;
the loss formula of the central air conditioner specifically comprises the following steps:
in the method, in the process of the invention,for the optimal operating efficiency of the central air conditioner in the current loss state, < >>Rated operating efficiency for central air conditioner +.>The design of the central air conditioner is disabled with the lowest operating efficiency, < >>Is the operation time of the central air conditioner.
CN202410016928.2A 2024-01-05 2024-01-05 Central air conditioning cold and heat source energy-saving intelligent control system Pending CN117515808A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410016928.2A CN117515808A (en) 2024-01-05 2024-01-05 Central air conditioning cold and heat source energy-saving intelligent control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410016928.2A CN117515808A (en) 2024-01-05 2024-01-05 Central air conditioning cold and heat source energy-saving intelligent control system

Publications (1)

Publication Number Publication Date
CN117515808A true CN117515808A (en) 2024-02-06

Family

ID=89755389

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410016928.2A Pending CN117515808A (en) 2024-01-05 2024-01-05 Central air conditioning cold and heat source energy-saving intelligent control system

Country Status (1)

Country Link
CN (1) CN117515808A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117781596A (en) * 2024-02-23 2024-03-29 江苏乐雪环境科技有限公司 Intelligent regulation and control method and system for chamber environment based on real-time temperature measurement

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108413567A (en) * 2018-03-14 2018-08-17 山东建筑大学 Central hollow adjusting based on Internet of Things takes optimization method and system
CN108954741A (en) * 2018-09-28 2018-12-07 珠海派诺科技股份有限公司 hotel room air conditioner comfort control method
CN110940071A (en) * 2019-12-18 2020-03-31 梁雪芽 Intelligent household system and control method thereof
JP2020067206A (en) * 2018-10-23 2020-04-30 富士通株式会社 Torque control program, torque control method and torque control device
CN111238004A (en) * 2020-04-01 2020-06-05 梁雪芽 Energy consumption monitoring and early warning method for air conditioner of public building
CN113757852A (en) * 2021-08-27 2021-12-07 华中科技大学 Multi-split air conditioning unit control method and system based on digital twinning technology
CN113819596A (en) * 2021-08-23 2021-12-21 青岛海尔空调器有限总公司 Air conditioner control method and air conditioner
CN215724029U (en) * 2021-08-31 2022-02-01 中铁建工集团有限公司 Central air conditioning adaptive control system
CN114738958A (en) * 2022-04-06 2022-07-12 合肥工业大学 Load optimization regulation and control method and system for variable frequency air conditioner
CN115614946A (en) * 2022-10-12 2023-01-17 广东美的暖通设备有限公司 Air conditioner control method and device, air conditioning equipment and computer readable storage medium
CN116558049A (en) * 2023-03-27 2023-08-08 四川数字经济产业发展研究院 System and optimal control method based on central air conditioner load dynamic prediction

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108413567A (en) * 2018-03-14 2018-08-17 山东建筑大学 Central hollow adjusting based on Internet of Things takes optimization method and system
CN108954741A (en) * 2018-09-28 2018-12-07 珠海派诺科技股份有限公司 hotel room air conditioner comfort control method
JP2020067206A (en) * 2018-10-23 2020-04-30 富士通株式会社 Torque control program, torque control method and torque control device
CN110940071A (en) * 2019-12-18 2020-03-31 梁雪芽 Intelligent household system and control method thereof
CN111238004A (en) * 2020-04-01 2020-06-05 梁雪芽 Energy consumption monitoring and early warning method for air conditioner of public building
CN113819596A (en) * 2021-08-23 2021-12-21 青岛海尔空调器有限总公司 Air conditioner control method and air conditioner
CN113757852A (en) * 2021-08-27 2021-12-07 华中科技大学 Multi-split air conditioning unit control method and system based on digital twinning technology
CN215724029U (en) * 2021-08-31 2022-02-01 中铁建工集团有限公司 Central air conditioning adaptive control system
CN114738958A (en) * 2022-04-06 2022-07-12 合肥工业大学 Load optimization regulation and control method and system for variable frequency air conditioner
CN115614946A (en) * 2022-10-12 2023-01-17 广东美的暖通设备有限公司 Air conditioner control method and device, air conditioning equipment and computer readable storage medium
CN116558049A (en) * 2023-03-27 2023-08-08 四川数字经济产业发展研究院 System and optimal control method based on central air conditioner load dynamic prediction

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117781596A (en) * 2024-02-23 2024-03-29 江苏乐雪环境科技有限公司 Intelligent regulation and control method and system for chamber environment based on real-time temperature measurement

Similar Documents

Publication Publication Date Title
CN108375175B (en) Air conditioner system control method and device
CN107621048B (en) Control method and device of air conditioner
US7489988B2 (en) Generator control system, generating apparatus control method, program and record medium
CN101424436B (en) Intelligent optimizing control system and method for central air-conditioning
CN102012077B (en) Energy-saving control system and control method of central air conditioning freezing station
CN102331072B (en) Energy-saving control method for air conditioner with double-mode double-rotor variable frequency compressor
CN106871334B (en) Fuzzy control-based air conditioner control method and device
CN117515808A (en) Central air conditioning cold and heat source energy-saving intelligent control system
CN114440410B (en) Variable flow control method for freezing and cooling water pump based on heat exchange efficiency
CN109917646B (en) System and method for optimizing operation of regional cooling and heating equipment
CN111237995B (en) Control method of air conditioner cooler
CN109827299A (en) Based on Internet of Things air-treatment unit adjusting method, device, system and medium
CN101655272A (en) Energy-saving control management system of network central air conditioner and method thereof
CN115325682A (en) Optimization control method and device for performance monitoring of efficient intelligent refrigeration machine room
CN215724029U (en) Central air conditioning adaptive control system
CN104121666A (en) Hourly frequency conversion air supplying system and control method for central air conditioning ventilation system
CN113739371B (en) Central air conditioning system based on cloud cooperation and control method thereof
CN107894045B (en) Throttling control method and device of air conditioning system and air conditioner
CN112283890A (en) Cold and heat quantity control method and device suitable for building heating and ventilation equipment monitoring system
CN112503746A (en) Control method of cold source system of power station house based on machine learning and particle swarm algorithm
CN110940061A (en) Central air conditioner control method and system
CN112747419B (en) Wind-water linkage control method, device and equipment for central air conditioner and storage medium
JP2002259508A (en) Energy monitoring system
CN109612047A (en) The supply air temperature control method of air conditioning system with variable
CN115081220A (en) Adjusting method and system for high-energy-efficiency central air-conditioning system

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