CN111601030A - Adaptive control platform adopting cloud computing - Google Patents
Adaptive control platform adopting cloud computing Download PDFInfo
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- CN111601030A CN111601030A CN202010153913.2A CN202010153913A CN111601030A CN 111601030 A CN111601030 A CN 111601030A CN 202010153913 A CN202010153913 A CN 202010153913A CN 111601030 A CN111601030 A CN 111601030A
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- air purifier
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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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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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
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Abstract
The invention relates to a self-adaptive control platform adopting cloud computing, which comprises: the cloud computing server is used for replacing and maintaining the detection work of the depth of field value of each pixel point in the filtering image when the operation load of the numerical value acquisition equipment exceeds the limit; a frequency adjustment device for determining a corresponding ventilation frequency based on the farthest depth of field value; and the mode conversion equipment is used for determining the air exchange power of the corresponding exchange type air purifier based on the farthest field depth value and converting the working position of the exchange type air purifier based on the determined air exchange power. The self-adaptive control platform adopting the cloud computing has stable operation and simple structure. Because the self-adaptive air exchange control mechanism based on room detection is additionally arranged in the existing exchange type air purifier, the effect of executing air exchange can be ensured even if the sizes of the rooms installed by the exchange type air purifier are different.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a self-adaptive control platform adopting cloud computing.
Background
Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. In the early stage of cloud computing, simple distributed computing is adopted, task distribution is solved, and computing results are merged. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved.
At present, the cloud service is not just distributed computing, but a result of hybrid evolution and leap of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, virtualization and the like.
In the application field of adaptive parameter adjustment of the exchange type air purifier, an effective technical scheme for applying the cloud computing technology is lacked, so that the advantages of the cloud computing technology cannot be fully utilized.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a self-adaptive control platform adopting cloud computing, which can adjust various different parameters of a switching type air purifier according to the sizes of different rooms, so that the defects of untimely air exchange of a small room and insufficient single air exchange of a large room are overcome, and the flexibility and the reliability of the air exchange control of the switching type air purifier are improved.
Therefore, the invention at least needs to have the following two key points:
(1) the method comprises the steps of obtaining a deepest depth of field value in an imaging image of an environment in a closed room, and adjusting the working frequency of a switching type air purifier based on the deepest depth of field value so as to improve the working frequency to avoid untimely air exchange of a small room when the room is small;
(2) the method comprises the steps of obtaining the deepest depth of field value in an imaging image of the environment in the closed room, and adjusting the working gear of the exchange type air purifier based on the deepest depth of field value so as to ensure the full execution of single ventilation when the room is large.
According to an aspect of the present invention, there is provided an adaptive steering platform using cloud computing, the platform including:
the cloud computing server is connected with the numerical value acquisition equipment through a network and used for replacing the detection work of the depth of field value of each pixel point in the filtering image when the operation load of the numerical value acquisition equipment exceeds the limit;
the ultra-clear shooting mechanism is arranged on a shell of the exchange type air purifier embedded into the wall of the closed room, faces the inside of the closed room and is used for shooting the inside of the closed room to obtain a corresponding room internal image;
the frequency adjusting device is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding ventilation frequency based on the farthest field depth value and controlling the starting frequency of the exchange type air purifier by adopting the determined ventilation frequency, wherein the ventilation frequency and the starting frequency have the same value;
the mode conversion equipment is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding air exchange power of the exchange type air purifier based on the farthest field depth value and converting the working gear of the exchange type air purifier based on the determined air exchange power;
the gamma correction equipment is positioned in the exchange type air purifier, is connected with the ultra-clear shooting mechanism and is used for executing gamma correction processing on the received images in the room to obtain corresponding content correction images;
the signal filtering device is positioned in the exchange type air purifier, is connected with the gamma correction device and is used for executing filtering processing of keeping edges smooth on the received content correction image so as to obtain a corresponding kept filtering image;
the numerical value acquisition equipment is positioned in the exchange type air purifier, is respectively connected with the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment, and is used for detecting the depth of field value of each pixel point in the kept filtering image and outputting the maximum value of the depth of field values of each pixel point in the kept filtering image as the farthest depth of field value;
wherein determining the corresponding ventilation frequency based on the farthest depth of field value comprises: the smaller the value of the farthest depth of field, the higher the corresponding determined ventilation frequency.
The self-adaptive control platform adopting the cloud computing has stable operation and simple structure. Because the self-adaptive air exchange control mechanism based on room detection is additionally arranged in the existing exchange type air purifier, the effect of executing air exchange can be ensured even if the sizes of the rooms installed by the exchange type air purifier are different.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a working scene of an adaptive control platform using cloud computing according to an embodiment of the present invention.
Fig. 2 is a block diagram illustrating a structure of an adaptive control platform using cloud computing according to an embodiment of the present invention.
Fig. 3 is a block diagram illustrating a structure of an adaptive control platform using cloud computing according to another embodiment of the present invention.
Detailed Description
Embodiments of an adaptive manipulation platform using cloud computing according to the present invention will be described in detail with reference to the accompanying drawings.
At present, the air purifier who carries out indoor outer air exchange has been the indoor purification instrument of comparatively leading edge, however, air purifier designer when designing air purifier's mode of operation, does not consider its size that is about to install and the room that acts on, and each parameter of its mode of operation design is fixed, leads to the air exchange untimely, insufficient to the single air exchange in big room to the little room easily.
In order to overcome the defects, the invention builds the self-adaptive control platform adopting the cloud computing, and can effectively solve the corresponding technical problem.
Fig. 1 shows a schematic working scenario of an adaptive control platform using cloud computing. In fig. 1, a switching air purifier is embedded in a wall of a relatively closed room, in order to desirably achieve a purification process of air in the room.
Fig. 2 is a block diagram illustrating a structure of an adaptive control platform using cloud computing according to an embodiment of the present invention, where the platform includes:
the cloud computing server is connected with the numerical value acquisition equipment through a network and used for replacing the detection work of the depth of field value of each pixel point in the filtering image when the operation load of the numerical value acquisition equipment exceeds the limit;
the ultra-clear shooting mechanism is arranged on a shell of the exchange type air purifier embedded into the wall of the closed room, faces the inside of the closed room and is used for shooting the inside of the closed room to obtain a corresponding room internal image;
the frequency adjusting device is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding ventilation frequency based on the farthest field depth value and controlling the starting frequency of the exchange type air purifier by adopting the determined ventilation frequency, wherein the ventilation frequency and the starting frequency have the same value;
the mode conversion equipment is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding air exchange power of the exchange type air purifier based on the farthest field depth value and converting the working gear of the exchange type air purifier based on the determined air exchange power;
the gamma correction equipment is positioned in the exchange type air purifier, is connected with the ultra-clear shooting mechanism and is used for executing gamma correction processing on the received images in the room to obtain corresponding content correction images;
the signal filtering device is positioned in the exchange type air purifier, is connected with the gamma correction device and is used for executing filtering processing of keeping edges smooth on the received content correction image so as to obtain a corresponding kept filtering image;
the numerical value acquisition equipment is positioned in the exchange type air purifier, is respectively connected with the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment, and is used for detecting the depth of field value of each pixel point in the kept filtering image and outputting the maximum value of the depth of field values of each pixel point in the kept filtering image as the farthest depth of field value;
wherein determining the corresponding ventilation frequency based on the farthest depth of field value comprises: the smaller the value of the farthest depth of field, the higher the corresponding determined ventilation frequency.
Fig. 3 is a block diagram illustrating a structure of an adaptive control platform using cloud computing according to another embodiment of the present invention, where the platform includes:
the field storage device is respectively connected with the numerical value acquisition device and the signal filtering device and is used for storing various parameters for setting the numerical value acquisition device or the signal filtering device;
the wired communication interface is connected with the numerical value acquisition equipment and used for sending the output data of the numerical value acquisition equipment out through a wired communication link;
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface;
the cloud computing server is connected with the numerical value acquisition equipment through a network and used for replacing the detection work of the depth of field value of each pixel point in the filtering image when the operation load of the numerical value acquisition equipment exceeds the limit;
the ultra-clear shooting mechanism is arranged on a shell of the exchange type air purifier embedded into the wall of the closed room, faces the inside of the closed room and is used for shooting the inside of the closed room to obtain a corresponding room internal image;
the frequency adjusting device is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding ventilation frequency based on the farthest field depth value and controlling the starting frequency of the exchange type air purifier by adopting the determined ventilation frequency, wherein the ventilation frequency and the starting frequency have the same value;
the mode conversion equipment is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding air exchange power of the exchange type air purifier based on the farthest field depth value and converting the working gear of the exchange type air purifier based on the determined air exchange power;
the gamma correction equipment is positioned in the exchange type air purifier, is connected with the ultra-clear shooting mechanism and is used for executing gamma correction processing on the received images in the room to obtain corresponding content correction images;
the signal filtering device is positioned in the exchange type air purifier, is connected with the gamma correction device and is used for executing filtering processing of keeping edges smooth on the received content correction image so as to obtain a corresponding kept filtering image;
the numerical value acquisition equipment is positioned in the exchange type air purifier, is respectively connected with the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment, and is used for detecting the depth of field value of each pixel point in the kept filtering image and outputting the maximum value of the depth of field values of each pixel point in the kept filtering image as the farthest depth of field value;
wherein determining the corresponding ventilation frequency based on the farthest depth of field value comprises: the smaller the value of the farthest depth of field, the higher the corresponding determined ventilation frequency.
Next, the specific structure of the adaptive control platform using cloud computing according to the present invention will be further described.
In the adaptive control platform adopting cloud computing: determining an air exchange power of the corresponding switched air purifier based on the farthest depth of field value comprises: the larger the value of the farthest field depth is, the larger the determined air exchange power of the corresponding exchange type air purifier is.
In the adaptive control platform adopting cloud computing: the working gear of the exchange type air purifier and the corresponding air exchange power are in a monotonous positive correlation relationship.
In the adaptive control platform adopting cloud computing: the numerical value acquisition device, the frequency adjustment device, the mode conversion device and the signal filtering device are respectively realized by adopting different GPU chips.
In the adaptive control platform adopting cloud computing: and selecting different types of GPU chips for the numerical value acquisition equipment, the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment according to respective maximum operation demand.
In the adaptive control platform adopting cloud computing: the signal filtering apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
The adaptive control platform adopting cloud computing further comprises: the temperature regulation and control equipment is arranged in the signal filtering equipment and is used for regulating and controlling the internal temperature of the signal filtering equipment according to the internal temperature value of the signal filtering equipment; the signal filtering equipment further comprises temperature measuring quantum equipment, wherein the temperature measuring quantum equipment is connected with the temperature regulating and controlling equipment and used for providing an internal temperature value of the signal filtering equipment.
In addition, the GPU is a display chip capable of supporting T & L (Transform and Lighting) from hardware, and since T & L is an important part in 3D rendering, it is used to calculate the 3D position of a polygon and process dynamic ray effects, which can also be referred to as "geometric processing". A good T & L unit, which can provide fine 3D objects and high-level light special effects; however, in most PCs, most of the operations of T & L are handled by the CPU (that is, software T & L), and because the CPU has many tasks and performs non-3D graphics processing such as memory management and input response in addition to T & L, the performance is greatly reduced during actual operations, and the CPU generally waits for CPU data, and the operation speed of the CPU is far from the requirement of a complicated three-dimensional game. Even if the operating frequency of the CPU exceeds 1GHz or more, it is not greatly helpful because it is a problem in the design of the PC itself, and has no great relationship with the speed of the CPU.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An adaptive steering platform employing cloud computing, the platform comprising:
the cloud computing server is connected with the numerical value acquisition equipment through a network and used for replacing the detection work of the depth of field value of each pixel point in the filtering image when the operation load of the numerical value acquisition equipment exceeds the limit;
the ultra-clear shooting mechanism is arranged on a shell of the exchange type air purifier embedded into the wall of the closed room, faces the inside of the closed room and is used for shooting the inside of the closed room to obtain a corresponding room internal image;
the frequency adjusting device is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding ventilation frequency based on the farthest field depth value and controlling the starting frequency of the exchange type air purifier by adopting the determined ventilation frequency, wherein the ventilation frequency and the starting frequency have the same value;
the mode conversion equipment is connected with the exchange type air purifier and used for receiving the farthest field depth value, determining the corresponding air exchange power of the exchange type air purifier based on the farthest field depth value and converting the working gear of the exchange type air purifier based on the determined air exchange power;
the gamma correction equipment is positioned in the exchange type air purifier, is connected with the ultra-clear shooting mechanism and is used for executing gamma correction processing on the received images in the room to obtain corresponding content correction images;
the signal filtering device is positioned in the exchange type air purifier, is connected with the gamma correction device and is used for executing filtering processing of keeping edges smooth on the received content correction image so as to obtain a corresponding kept filtering image;
the numerical value acquisition equipment is positioned in the exchange type air purifier, is respectively connected with the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment, and is used for detecting the depth of field value of each pixel point in the kept filtering image and outputting the maximum value of the depth of field values of each pixel point in the kept filtering image as the farthest depth of field value;
wherein determining the corresponding ventilation frequency based on the farthest depth of field value comprises: the smaller the value of the farthest depth of field, the higher the corresponding determined ventilation frequency.
2. The adaptive steering platform employing cloud computing according to claim 1, wherein:
determining an air exchange power of the corresponding switched air purifier based on the farthest depth of field value comprises: the larger the value of the farthest field depth is, the larger the determined air exchange power of the corresponding exchange type air purifier is.
3. The adaptive steering platform employing cloud computing according to claim 2, wherein:
the working gear of the exchange type air purifier and the corresponding air exchange power are in a monotonous positive correlation relationship.
4. The adaptive steering platform employing cloud computing of claim 3, wherein:
the numerical value acquisition device, the frequency adjustment device, the mode conversion device and the signal filtering device are respectively realized by adopting different GPU chips.
5. The adaptive steering platform employing cloud computing of claim 4, wherein:
and selecting different types of GPU chips for the numerical value acquisition equipment, the frequency adjustment equipment, the mode conversion equipment and the signal filtering equipment according to respective maximum operation demand.
6. The adaptive steering platform employing cloud computing according to claim 5, wherein:
the signal filtering apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
7. The adaptive steering platform employing cloud computing according to claim 6, further comprising:
and the field storage equipment is respectively connected with the numerical value acquisition equipment and the signal filtering equipment and is used for storing various parameters for setting the numerical value acquisition equipment or the signal filtering equipment.
8. The adaptive steering platform employing cloud computing according to claim 7, further comprising:
the wired communication interface is connected with the numerical value acquisition equipment and used for sending the output data of the numerical value acquisition equipment out through a wired communication link;
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
9. The adaptive steering platform employing cloud computing according to claim 8, further comprising:
the temperature regulation and control equipment is arranged in the signal filtering equipment and is used for regulating and controlling the internal temperature of the signal filtering equipment according to the internal temperature value of the signal filtering equipment;
the signal filtering equipment further comprises temperature measuring quantum equipment, wherein the temperature measuring quantum equipment is connected with the temperature regulating and controlling equipment and used for providing an internal temperature value of the signal filtering equipment.
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| CN202010153913.2A CN111601030A (en) | 2020-03-07 | 2020-03-07 | Adaptive control platform adopting cloud computing |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006147317A (en) * | 2004-11-18 | 2006-06-08 | Nissan Motor Co Ltd | Air cleaner device for fuel cell |
| CN105066351A (en) * | 2015-08-05 | 2015-11-18 | 无锡隆华新风科技有限公司 | Intelligent fresh-air control system based on big data cloud computing |
| CN205878491U (en) * | 2015-12-30 | 2017-01-11 | 清工学研(上海)环保科技有限公司 | Air purifier control system |
| CN106545956A (en) * | 2016-10-08 | 2017-03-29 | 珠海格力电器股份有限公司 | Control method and device of fresh air machine |
| CN108131789A (en) * | 2017-11-15 | 2018-06-08 | 珠海格力电器股份有限公司 | Air exchange control method and system of air conditioner |
-
2020
- 2020-03-07 CN CN202010153913.2A patent/CN111601030A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006147317A (en) * | 2004-11-18 | 2006-06-08 | Nissan Motor Co Ltd | Air cleaner device for fuel cell |
| CN105066351A (en) * | 2015-08-05 | 2015-11-18 | 无锡隆华新风科技有限公司 | Intelligent fresh-air control system based on big data cloud computing |
| CN205878491U (en) * | 2015-12-30 | 2017-01-11 | 清工学研(上海)环保科技有限公司 | Air purifier control system |
| CN106545956A (en) * | 2016-10-08 | 2017-03-29 | 珠海格力电器股份有限公司 | Control method and device of fresh air machine |
| CN108131789A (en) * | 2017-11-15 | 2018-06-08 | 珠海格力电器股份有限公司 | Air exchange control method and system of air conditioner |
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Address after: Room 303, 3 / F, building 3, science and Technology Incubation Park, high tech Zone, Leshan City, Sichuan Province Applicant after: Song Shiguang Address before: 213023 No.66 Xinggang Road, Zhonglou Economic Development Zone, Changzhou City, Jiangsu Province Applicant before: Song Shiguang |
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Application publication date: 20200828 |
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