CN111023527B - Remote-end simulation type intelligent air conditioner control system and method suitable for multiple terminals - Google Patents

Remote-end simulation type intelligent air conditioner control system and method suitable for multiple terminals Download PDF

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Publication number
CN111023527B
CN111023527B CN201910250502.2A CN201910250502A CN111023527B CN 111023527 B CN111023527 B CN 111023527B CN 201910250502 A CN201910250502 A CN 201910250502A CN 111023527 B CN111023527 B CN 111023527B
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time
positioning
module
air conditioner
processing module
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CN111023527A (en
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马海霞
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Guangdong Yuduo Environmental Technology Development Co ltd
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Guangdong Yuduo Environmental Technology Development Co ltd
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    • 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
    • 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
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56Remote control
    • F24F11/58Remote control using Internet communication
    • 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
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61Control or safety arrangements characterised by user interfaces or communication using timers
    • 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

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

Abstract

The invention relates to a far-end analog intelligent air conditioner control system and a method thereof suitable for multiple terminals, wherein the far-end analog intelligent air conditioner control system comprises the following steps: the remote connection module is used for connecting the air conditioner and the mobile terminal; the positioning modules are used for sending real-time positioning to the air conditioner; the time modules are used for recording the time length adopted by each return stroke, and the time modules correspond to the positioning modules one to one; the data module is used for marking the time scale under the positioning for the positioning in the process of each return stroke and marking the positioning according to the path of each return stroke, and the data module marks the corresponding air conditioner working efficiency under each time scale in the process of each return stroke; the control module is used for controlling the working efficiency of the air conditioner; and the processing module is used for marking time scales on the current positioning according to the time module and the positioning module, and judging the adjustment content of the working efficiency of the air conditioner according to the comparison condition of the time scales.

Description

Remote-end simulation type intelligent air conditioner control system and method suitable for multiple terminals
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to a remote-end simulation type intelligent air conditioner control system and a method thereof, which are suitable for multiple terminals.
Background
Air conditioners, i.e., room air conditioners (room air conditioners), which regulate temperature, humidity, and air conditioners in a hanging type are units for providing a space area (generally, an enclosed space) with a temperature change of process air. Its function is to regulate the parameters of temperature, humidity, cleanliness and air flow rate of air in the room (or closed space, zone) so as to meet the requirements of human body comfort or technological process. However, with the advancement of technology, air conditioners are more humanized and more intelligent. The existing air conditioner is not intelligent enough, and the operation steps are complex. Therefore, it is necessary to provide an intelligent air conditioner that simplifies user operations and improves the operation efficiency of the air conditioner.
In addition, in real life, the air conditioner is started in advance when the user goes off duty or goes back, but due to a series of uncertain factors on the journey, the time of the back journey is changed, so that the air conditioner is started too early, and resources are wasted.
Disclosure of Invention
The purpose of the invention is as follows:
the invention provides a far-end analog intelligent air conditioner control system and a far-end analog intelligent air conditioner control method suitable for multiple terminals, aiming at the problem that the air conditioner is started in advance when the air conditioner returns during work or trip, but the return time is changed due to a series of uncertain factors on the trip, so that the air conditioner is started too early and resources are wasted.
The technical scheme is as follows:
a far-end analog intelligent air conditioner control system adapting to multiple terminals is used for air conditioner control according to return positioning and return time, and comprises:
the remote connection module is used for connecting the air conditioner and the mobile terminal;
the positioning modules are used for sending real-time positioning to the air conditioner;
the time modules are used for recording the time length adopted by each return process, and the time modules correspond to the positioning modules one to one;
the data module is used for marking the time scale under the positioning for the positioning in each return process and marking the positioning according to each return path, and the data module marks the corresponding air conditioner working efficiency under each time scale in each return process;
the control module is used for controlling the working efficiency of the air conditioner;
the processing module is used for marking time scales on current positioning according to the time module and the positioning module, the processing module backtracks the positioning data to the data module according to the current positioning distance, the processing module compares the time scales according to a positioning backtracking result, and the processing module judges the adjustment content of the working efficiency of the air conditioner according to the comparison condition of the time scales.
As a preferred mode of the present invention, after the data module performs time scale recording and labeling, the data module performs discrete distribution statistics on the history, and the data module divides the history into regions with a maximum discrete value, a large discrete value, a moderate discrete value, a small discrete value, and a minimum discrete value according to the discrete degree.
As a preferred mode of the present invention, the processing module compares the discrete degrees according to the time scales at the current location, and the control module adjusts the working efficiency of the air conditioner according to the comparison result.
As a preferred mode of the present invention, the positioning module and the time module are respectively included in a plurality of mobile terminals, and the mobile terminals access the control system.
As a preferred mode of the present invention, the processing module selects a positioning module as an actual reference for air conditioner control according to the real-time positioning and the real-time of the positioning sub-module corresponding to each mobile terminal.
A working method of a far-end analog intelligent air conditioner control system adaptive to multiple terminals adopts a far-end analog intelligent air conditioner control system adaptive to multiple terminals, and is characterized in that: comprises the following steps of (a) carrying out,
s01: the positioning module carries out real-time positioning and the time module carries out time recording;
s02: the remote connection module is positioned in real time by using time marking and sends the time marking to the processing module;
s03: the processing module judges the return route at the moment according to the change condition of real-time positioning;
s04: the processing module searches a corresponding return route historical record in the data module according to the return route at the moment;
s05: the processing module searches a historical record of a corresponding positioning position in the corresponding return route according to real-time positioning;
s06: the processing module acquires the area divided by the time scale discrete degree at the position according to the current positioning position in the historical record;
s07: the processing module sends a control instruction to the control module according to the result of the discrete degree division;
s08: and the control module adjusts the working efficiency of the air conditioner according to the control instruction.
In a preferred embodiment of the present invention, the step S03 further includes the steps of,
s031: the processing module acquires data sent by a plurality of remote connection modules;
s032: the processing module calculates the occupation ratio of the positioning position in the return path and the occupation ratio of the positioning position in the return time at the moment and calculates the total occupation ratio;
s033: and the processing module selects the data sent by the remote connection module with the larger total occupation ratio as the reference for the adjustment of the control module.
The invention realizes the following beneficial effects:
the distance progress is judged according to the time spent by each positioning on the distance, so that whether the distance progress meets the time progress is judged according to the comparison between the distance progress and the historical records, the optimal efficiency suitable for the current air conditioner work is found, the air conditioner is controlled, the condition that no person exists in a long-time room but the air conditioner is in an open state is avoided, the resource loss is reduced, and the service life of the air conditioner is prolonged.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a diagram of the working steps of the present invention;
FIG. 2 is a system framework of the present invention;
fig. 3 is a step chart of step S03 according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
The reference figures are figures 1-3. This embodiment provides a far-end analog type intelligence air conditioner control system who adapts to multiterminal for carry out air conditioner control according to returning journey location and time of returning journey, include:
the remote connection module 1 is used for connecting an air conditioner and a mobile terminal;
the positioning modules 2 are used for sending real-time positioning to the air conditioner;
the time modules 3 are used for recording the time length adopted by each return process, and the time modules 3 correspond to the positioning modules 2 one by one;
the data module 4 is used for marking time scales under the positioning for the positioning in each return process and marking the positioning according to each return path, and the data module 4 marks the corresponding air conditioner working efficiency under each time scale in each return process;
the control module 5 is used for controlling the working efficiency of the air conditioner;
and the processing module 6 is used for marking time scales on the current positioning according to the time module 3 and the positioning module 2, the processing module 6 backtracks the positioning data to the data module 4 according to the current positioning distance, the processing module 6 compares the time scales according to the positioning backtracking result, and the processing module 6 judges the adjustment content of the working efficiency of the air conditioner according to the comparison condition of the time scales.
As a preferred mode of the present invention, after the data module 4 performs time scale recording and labeling, the data module 4 performs discrete distribution statistics on the history record, and the data module 4 divides the history record into regions with a maximum discrete value, a large discrete value, a moderate discrete value, a small discrete value, and a minimum discrete value according to the discrete degree.
As a preferred mode of the present invention, the processing module 6 compares the discrete degrees according to the time scales at the current location, and the control module 5 adjusts the working efficiency of the air conditioner according to the comparison result.
As a preferred aspect of the present invention, the positioning module 2 and the time module 3 are respectively included in a plurality of mobile terminals, and the mobile terminals access the control system.
As a preferred mode of the present invention, the processing module 6 selects the positioning module 2 serving as an actual reference for air conditioner control according to the real-time positioning and the real-time of the positioning sub-modules corresponding to the mobile terminals.
A working method of a far-end analog intelligent air conditioner control system adaptive to multiple terminals adopts a far-end analog intelligent air conditioner control system adaptive to multiple terminals, and is characterized in that: comprises the following steps of (a) carrying out,
s01: the positioning module 2 carries out real-time positioning, and the time module 3 carries out time recording;
s02: the far-end connection module 1 is positioned in real time by using time marking and is sent to the processing module 6;
s03: the processing module 6 judges the return route at the moment according to the change condition of real-time positioning;
s04: the processing module 6 searches a corresponding historical record of the return route in the data module 4 according to the return route at the moment;
s05: the processing module 6 searches a historical record of a corresponding positioning position in the corresponding return route according to real-time positioning;
s06: the processing module 6 acquires the area divided by the time scale discrete degree at the position according to the current positioning position in the historical record;
s07: the processing module 6 sends a control instruction to the control module 5 according to the result of the discrete degree division;
s08: and the control module 5 adjusts the working efficiency of the air conditioner according to the control instruction.
In a preferred embodiment of the present invention, the step S03 further includes the steps of,
s031: the processing module 6 acquires data sent by a plurality of remote connection modules 1;
s032: the processing module 6 calculates the occupation ratio of the positioning position in the return path and the occupation ratio of the positioning position in the return time at the moment and calculates the total occupation ratio;
s033: the processing module 6 selects the data sent by the far-end connection module 1 with a larger total occupation ratio as the reference for the adjustment of the control module 5.
In a specific implementation process, in each return process, the processing module 6 confirms the return path and marks the time of each positioning position on the return path according to the positioning of the single positioning module 2 and the time of the time module 3 transmitted by the remote connection module 1, so as to form each return path. Furthermore, because the path of a single return stroke is a fixed value and the return times corresponding to the path are almost not the same, the time obtained by labeling the time at each positioning position on the path is not a determined value, and further, for the time at a single position, the data module 4 calculates the discrete degree of the time at the corresponding single position on each return stroke record under the path, and divides all the corresponding times at the position according to the discrete degree, namely, the time is divided into five different areas, namely, the discrete value is maximum, the discrete value is large, the discrete value is moderate, the discrete value is small, the discrete value is extremely small, the discrete value is moderate, the discrete value is in the normal range corresponding to the time, the discrete value is large, the discrete value is greatly behind the normal range corresponding to the time, the discrete value is small, the discrete value is slightly ahead of the normal range corresponding to the time, A very small discrete value corresponds to a time that is well in advance of the normal range.
In a return process, the positioning module 2 and the time module 3 respectively perform real-time positioning and real-time measurement, the time at this time is marked on the real-time positioning by the far-end connection module 1 and is transmitted to the processing module 6, it is worth mentioning that the processing module 6 does not perform subsequent judgment before receiving the real-time positioning marked with the time of a certain order of magnitude, for example, before 100 times of real-time positioning, and when the positioning exceeds 100 times, the processing module 6 judges that the evolution process is consistent with which return path according to the evolution of the real-time positioning, and selects the consistent return path for reference. After the far-end connection module 1 sends the real-time positioning marked with the moment each time, the processing module 6 distinguishes the real-time positioning, compares the real-time positioning with the positioning corresponding to the return path and searches for points with the same positioning in the recorded path history, the processing module 6 analyzes the dispersion degree of the moment in the data group of the history moment by comparing the moment, and when the moment is judged to be in a maximum dispersion value, the processing module 6 sends an instruction for improving the working efficiency of the air conditioner to the control module 5; when the discrete value at the moment is judged to be large, the processing module 6 sends an instruction for slightly improving the working efficiency to the control module 5; when the moment is judged to be in a moderate discrete value, the processing module 6 does not send any instruction to the control module 5; when the discrete value of the processing at the moment is judged to be small, the processing module 6 sends an instruction for slightly reducing the working efficiency of the air conditioner to the control module 5; when the discrete value at the moment is judged to be extremely small, the processing module 6 sends an instruction for reducing the working efficiency of the air conditioner to the control module 5. The system continuously repeats the working steps until the return process is finished.
When a plurality of positioning modules 2 and time modules 3 are used for positioning and time recording, the processing module 6 calculates the position ratio of the current positioning position on the path, namely, the ratio of the total path of the path which has passed through at the moment is judged, and simultaneously, the ratio of the current time on the total time is calculated, namely, the ratio of the time which has passed through to the total time is judged, the total time is the average time used for one return trip, furthermore, the processing module 6 adds the two ratios to obtain the total ratio, the processing module 6 compares the total ratios, and selects the larger one of the total ratios to generate and issue an instruction.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.

Claims (6)

1. The utility model provides a distal end analog type intelligence air conditioner control system who adapts to many terminals for carry out air conditioner control according to returning journey location and time of returning journey, its characterized in that includes:
the remote connection module is used for connecting the air conditioner and the mobile terminal;
the positioning modules are used for sending real-time positioning to the air conditioner;
the time modules are used for recording the time length adopted by each return process, and the time modules correspond to the positioning modules one to one;
the data module is used for marking the time scale under the positioning for the positioning in each return process and marking the positioning according to each return path, and the data module marks the corresponding air conditioner working efficiency under each time scale in each return process;
the control module is used for controlling the working efficiency of the air conditioner;
the processing module is used for marking time scales on current positioning according to the time module and the positioning module, backtracking of the positioning data is carried out on the data module according to the current positioning distance, time scale comparison is carried out on the processing module according to a positioning backtracking result, and the processing module judges the adjustment content of the working efficiency of the air conditioner according to the comparison condition of the time scales;
the working method of the intelligent air conditioner control system comprises the following steps:
s01: the positioning module carries out real-time positioning and the time module carries out time recording;
s02: the remote connection module is positioned in real time by using time marking and sends the time marking to the processing module;
s03: the processing module judges the return route at the moment according to the change condition of real-time positioning;
s04: the processing module searches a corresponding return route historical record in the data module according to the return route at the moment;
s05: the processing module searches a historical record of a corresponding positioning position in the corresponding return route according to real-time positioning;
s06: the processing module acquires the area divided by the time scale discrete degree at the position according to the current positioning position in the historical record;
s07: the processing module sends a control instruction to the control module according to the result of the discrete degree division;
s08: and the control module adjusts the working efficiency of the air conditioner according to the control instruction.
2. The multi-terminal-adapted remote-end analog intelligent air-conditioning control system according to claim 1, characterized in that: after the data module carries out time scale recording and marking, the data module carries out discrete distribution statistics on the historical records, and the data module divides the historical records into areas with maximum discrete value, large discrete value, moderate discrete value, small discrete value and minimum discrete value according to the discrete degree.
3. The multi-terminal-adapted remote-end analog intelligent air-conditioning control system according to claim 2, characterized in that: the processing module compares the discrete degree according to the time scale under the current positioning, and the control module adjusts the working efficiency of the air conditioner according to the comparison result.
4. The multi-terminal-adapted remote-end analog intelligent air-conditioning control system according to claim 3, characterized in that: the positioning module and the time module are respectively contained in a plurality of mobile terminals, and the mobile terminals are accessed into the control system.
5. The multi-terminal-adapted remote-end analog intelligent air-conditioning control system according to claim 4, characterized in that: and the processing module selects a positioning module as an actual reference for air conditioner control according to the real-time positioning and real-time of the positioning sub-modules corresponding to the mobile terminals.
6. The multi-terminal-adapted remote-end analog intelligent air-conditioning control system according to claim 1, characterized in that: in step S03, the method further includes the following steps,
s031: the processing module acquires data sent by a plurality of remote connection modules;
s032: the processing module calculates the occupation ratio of the positioning position in the return path and the occupation ratio of the positioning position in the return time at the moment and calculates the total occupation ratio;
s033: and the processing module selects the data sent by the remote connection module with the larger total occupation ratio as the reference for the adjustment of the control module.
CN201910250502.2A 2019-03-29 2019-03-29 Remote-end simulation type intelligent air conditioner control system and method suitable for multiple terminals Expired - Fee Related CN111023527B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002101221A (en) * 2000-09-25 2002-04-05 Akira Ota Method and system for remote control of indoor equipment, and controller to activate indoor equipment
CN101393035A (en) * 2007-09-21 2009-03-25 株式会社电装 Route length calculation apparatus and route length calculation method
JP2012063112A (en) * 2010-09-17 2012-03-29 Mitsubishi Heavy Ind Ltd Air conditioner
CN105182776A (en) * 2015-09-18 2015-12-23 小米科技有限责任公司 Intelligent furniture controlling method and apparatus
CN105785955A (en) * 2016-04-27 2016-07-20 捷开通讯(深圳)有限公司 Smart home control method, smart home equipment and intelligent terminal
CN109269029A (en) * 2018-08-31 2019-01-25 上海与德科技有限公司 The control method of intelligent fresh air system, controller and can storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002101221A (en) * 2000-09-25 2002-04-05 Akira Ota Method and system for remote control of indoor equipment, and controller to activate indoor equipment
CN101393035A (en) * 2007-09-21 2009-03-25 株式会社电装 Route length calculation apparatus and route length calculation method
JP2012063112A (en) * 2010-09-17 2012-03-29 Mitsubishi Heavy Ind Ltd Air conditioner
CN105182776A (en) * 2015-09-18 2015-12-23 小米科技有限责任公司 Intelligent furniture controlling method and apparatus
CN105785955A (en) * 2016-04-27 2016-07-20 捷开通讯(深圳)有限公司 Smart home control method, smart home equipment and intelligent terminal
CN109269029A (en) * 2018-08-31 2019-01-25 上海与德科技有限公司 The control method of intelligent fresh air system, controller and can storage medium

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