CN102878647A - Automatic monitoring system and automatic monitoring method for air conditioner running state - Google Patents
Automatic monitoring system and automatic monitoring method for air conditioner running state Download PDFInfo
- Publication number
- CN102878647A CN102878647A CN2011101983355A CN201110198335A CN102878647A CN 102878647 A CN102878647 A CN 102878647A CN 2011101983355 A CN2011101983355 A CN 2011101983355A CN 201110198335 A CN201110198335 A CN 201110198335A CN 102878647 A CN102878647 A CN 102878647A
- Authority
- CN
- China
- Prior art keywords
- image
- module
- characteristic
- air conditioner
- running state
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 22
- 238000000605 extraction Methods 0.000 claims abstract description 22
- 238000010408 sweeping Methods 0.000 claims abstract description 14
- 238000003709 image segmentation Methods 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000007781 pre-processing Methods 0.000 abstract 1
- 238000004378 air conditioning Methods 0.000 description 9
- 238000005057 refrigeration Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 238000003706 image smoothing Methods 0.000 description 2
- 230000007935 neutral effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Landscapes
- Image Analysis (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an automatic monitoring system and a monitoring method for the running state of an air conditioner, wherein the system comprises a camera device for shooting a characteristic image of the running of the air conditioner and a central processing unit, the central processing unit comprises an image acquisition module, an image preprocessing module, an image characteristic analysis and extraction module, a characteristic comparison model and an output module. The invention collects images of the display panel and the angle scale panel in real time through the two cameras, and outputs the states of signal lamps such as double eight digits, modes and the like on the identified display panel and the angle of the wind sweeping motor in real time through an image processing and identifying technology, thereby replacing manual monitoring and improving the working efficiency and the monitoring accuracy.
Description
[technical field]
The present invention relates to a kind of monitoring system and method for supervising, refer in particular to a kind of automatic monitored control system and automatic monitoring method of running state of air conditioner.
[background technology]
Along with the development of social economy and science and technology, popularizing of air-conditioning is more and more faster, and moreover, the developing trend of air-conditioning is manual intelligent, and the employing intelligent control software that can get more and more realizes more function, and requires more and more higher to the operation stability of air-conditioning.Have air-conditioner Software for Design quality now and mainly rely on the manual testing, to most of type, practical function is stablized, and rely on artificial for a long time monitoring running status, and mistake or error appear in not only operating personnel's fatigue, and easy therefore judgement, and operating efficiency is low.
Therefore, provide a kind of alternative manually-operated to monitor for a long time, the automatic monitored control system of the running state of air conditioner that accurately discrimination is high and automatic monitoring method are real to be necessary.
[summary of the invention]
The object of the present invention is to provide a kind of alternative manually-operated to monitor, the automatic monitored control system of the running state of air conditioner that accurately discrimination is high.
The object of the present invention is to provide a kind of alternative manually-operated to monitor, the automatic monitoring method of the running state of air conditioner that accurately discrimination is high.
For realizing the object of the invention, provide following technical scheme:
The invention provides a kind of automatic monitored control system of running state of air conditioner, it comprises for the camera head of taking the operation of air conditioner characteristic image, and the central processing unit that obtained characteristic image is carried out analyzing and processing, this central processing unit comprises the image capture module that is connected, the image pretreatment module, the image characteristic analysis extraction module, feature comparison model, and output module, the characteristic image that this camera head gathers transfers to this image capture module, then carry out preliminary treatment through the image pretreatment module, carry out signature analysis and extraction by the image characteristic analysis extraction module again, drawn data input feature vector comparison model is identified, and the result of identification is exported by output module again.
The characteristic image that the automatic monitored control system of this running state of air conditioner gathers generally comprises the air-conditioner display panel image and/or sweeps wind turbine angle device image.This camera head can adopt general camera.
Where necessary, this central processing unit also includes image segmentation and standardized module, and it is connected between image pretreatment module and the image characteristic analysis extraction module.For example need to carry out image segmentation and standardization during the two eight charactron image in processing the air-conditioner display panel image.
This automatic monitored control system also comprises output device, and the output information of output module is showed by output device.Preferably, this output device is display.Preferably, this central processing unit can adopt the PC computer to realize, related process module can realize by software programming in the computer.
Preferably, this system has also taked new design to the monitoring that air-conditioning is swept the wind turbine angle, because it is not to make things convenient for very much that direct monitoring air-conditioning is swept the wind turbine angle, one of design is arranged on and sweeps the wind turbine angle device on the air-conditioner in this programme, the characteristic image of wind turbine angle device is swept in this camera head collection, this is swept the wind turbine angle device and includes the angle scale panel, this angle scale panel is provided with the rotating wind bar of sweeping that an end is positioned at the angle scale face plate center, this rotational angle of sweeping the wind bar and air-conditioner to sweep the wind turbine angle consistent, whether whether the angle of sweeping like this wind bar on the reading angular card plate just can obtain the angle that air-conditioning is swept wind turbine, sweep the wind turbine angle in the time of just monitoring operation of air conditioner and meet the requirements and change normally stable.
Preferably, be provided with angle mark at this angle scale panel, so that during photographic images, corresponding angle normative reference can be arranged.Preferably, can be provided with little black filled circles at the angle scale panel and represent the angle reference.
The present invention also provides a kind of automatic monitoring method that adopts the running state of air conditioner of described automatic monitored control system, and it comprises the steps:
(1) by camera head acquisition characteristics image, and is sent to the image capture module of central processing unit;
(2) image capture module is sent to the image pretreatment module with the characteristic image that collects and carries out the image preliminary treatment;
(3) the image characteristic analysis extraction module obtains characteristic value to carrying out signature analysis and extraction through pretreated characteristic image;
(4) drawn characteristic value is identified in feature comparison model, and the result of output identification.
Preferably, also comprise step between step (2) and step (3): image segmentation and standardized module are cut apart and standardization characteristic image.
When system initialization, it also comprises the step of setting up feature comparison model, and this step of setting up model comprises following a few step:
(a) by camera head acquisition characteristics image, and be sent to the image capture module of central processing unit;
(b) image capture module is sent to the image pretreatment module with the characteristic image that collects and carries out the image preliminary treatment;
(c) the image characteristic analysis extraction module obtains characteristic value to carrying out signature analysis and extraction through pretreated characteristic image;
(d) set up the character feature storehouse, according to character feature training characteristics comparison model.
The contrast prior art, the present invention has the following advantages:
The automatic monitored control system of running state of air conditioner of the present invention and automatic monitoring method, alternative manually-operated is monitored for a long time, and the liberation manpower reduces cost, and high to the accurate discrimination of the monitoring of running state of air conditioner.
[description of drawings]
Fig. 1 is the air-conditioner display panel schematic diagram of the present invention;
Fig. 2 is the wind turbine angle device schematic diagram of sweeping of the present invention;
Fig. 3 is the automatic monitored control system structured flowchart of running state of air conditioner of the present invention;
Fig. 4 is the flow chart of the automatic monitoring method of running state of air conditioner of the present invention;
Fig. 5 is the flow chart that the feature comparison model of automatic monitoring method of the present invention is set up.
[specific embodiment]
See also Fig. 1 ~ Fig. 3, in this fact Example, the automatic monitored control system of running state of air conditioner of the present invention is to the display board 1 of air-conditioner and sweeps the wind turbine angle and monitor.
As shown in Figure 3, this automatic monitored control system comprises for the camera head of taking the operation of air conditioner characteristic image, and the central processing unit that obtained characteristic image is carried out analyzing and processing, this central processing unit comprises the image capture module that is connected, the image pretreatment module, image segmentation and standardized module, the image characteristic analysis extraction module, feature comparison model, and output module, the characteristic image that this camera head gathers transfers to this image capture module, then carry out preliminary treatment through the image pretreatment module, then through image segmentation and standardization, carry out signature analysis and extraction by the image characteristic analysis extraction module again, drawn data input feature vector comparison model is identified, and the result of identification is exported by output module again.This camera head can adopt general camera.
The characteristic image that the automatic monitored control system of this running state of air conditioner gathers generally comprises the air-conditioner display panel image, two eight charactrons 11 as shown in Figure 1, air conditioning operating mode signal pattern 12, power supply signal 13; This characteristic image comprises that also expression sweeps the image of wind turbine angle, in the present embodiment, be provided with at air-conditioner and sweep wind turbine angle device 2, this is swept wind turbine angle device 2 and includes angle scale panel 23, sweeps wind bar 21, sweeps wind turbine and is positioned at angle scale panel below.This is swept wind bar 21 and is located on the angle scale panel 23, one end is positioned at angle scale face plate center and can be around center rotating, this rotational angle of sweeping wind bar 21 and air-conditioner to sweep the wind turbine angle consistent, whether whether the angle of sweeping like this wind bar on the reading angular card plate just can obtain the angle that air-conditioning is swept wind turbine, sweep the wind turbine angle in the time of just monitoring operation of air conditioner and meet the requirements and change normally stable.
In the present embodiment, this angle scale panel 23 is provided with angle mark, so that during photographic images, corresponding angle normative reference can be arranged.Be provided with little black filled circles 22 at angle scale panel 23 and represent the angle reference, the image of shooting angle card plate is analyzed with the relative position of little black filled circles 22 sweeping wind bar 21, can obtain to sweep the angle information of wind bar.
As shown in Figure 2, angle scale panel 23 is by 12 little black filled circles (radius 0.5cm) circle that to be arranged in a radius be 10CM, the center of circle is placed one and is swept wind bar 21, sweep the wind turbine drive and sweep 21 rotations of wind bar, sweep the particular location that the wind bar shows rotation in real time, react the operation conditions of motor with this, per two little black filled circles be separated by 30 the degree.
This automatic monitored control system also comprises output device, and the output information of output module is showed by output device.Preferably, this output device is display.This central processing unit can adopt the PC computer to realize, related process module can realize by software programming in the computer.
See also Fig. 4, as preferred embodiment, the automatic monitoring method of running state of air conditioner of the present invention comprises the steps:
(1) by camera head acquisition characteristics image, and is sent to the image capture module of central processing unit;
(2) image capture module is sent to the image pretreatment module with the characteristic image that collects and carries out the image preliminary treatment;
(3) image segmentation and standardized module are cut apart and standardization characteristic image;
(4) the image characteristic analysis extraction module obtains characteristic value to carrying out signature analysis and extraction through pretreated characteristic image;
(5) drawn characteristic value is identified in feature comparison model, and the result of output identification.
Adopt this method that display panel of air-conditioner is monitored, concrete:
(1) to the identification of two eight charactrons, numeral 25 for example, refrigeration mode.
The first step: by camera Real-Time Monitoring display board, gather image, the display board image comprises two eight charactrons, air conditioning operating mode signal pattern and power supply signal, image size: 240*320;
Second step: the image to input restores, denoising, and concrete operations have: white balance, and image smoothing, enhancing, gray processing, binaryzation, morphology are processed, and obtain binary image;
The 3rd step: find 2,5, refrigeration lamp, heat the border of lamp, dehumidifying lamp, and calibrate 2,5, refrigeration lamp, heat lamp, dehumidifying lamp.According to refrigeration lamp, heat lamp, shared each regional percentage size of the dim color pixel of dehumidifying, identifying is which lamp is bright, in this example: the refrigeration lamp ratio value be heat lamp, dehumidifying lamp ratio value is namely thought refrigeration more than 3 times.Be standardized into respectively 5*5 template image with 2,5;
The 4th step: calculate each zonule black pixel value, and divided by the area of this zonule, namely obtain black picture element at the shared ratio value in this zonule, and be saved in front 5 of feature according to 5 ratio values of the first row, the second row correspondence 6 ~ 10 of feature, the like, obtain thus 5*5=25 characteristic value, the characteristic value number is too many, amount of calculation is too large, needs to extract the principal character value, can carry out the horizontal and vertical projection to image, each can obtain 5 features, altogether 10 features;
The 5th step: respectively 2 and 5 feature is input in the feature comparison model, identify, be output as binary number 0010 for 2, being output as this binary number of 0101(for 5 is oneself definition, might not be corresponding to the binary value in the computer, but value all be one to one)
Because the signal lamp on the display board is relative fixing with two eight charactron positions, after orienting two eight position, the latter half (square display board) of image or right half part (microscler display board) within the specific limits pixel and the threshold decision position of orienting signal lamp, when pixel and institute's accounting greater than 0.1, think that then the signal lamp of region is effective.
(2) to sweeping the wind turbine angle device:
By camera collection angle scale panel image, detect in real time the position of sweeping the wind bar, calculate front and back two frames through too small black filled circles number and sweep the relative position of wind bar and two little black filled circles, such as left figure, angle is the n*30+ offset angle.Offset angle can be determined to the distance proportion of adjacent two little black filled circles by rotating shaft.
As shown in Figure 5, when system initialization, it also comprises the step of setting up feature comparison model, namely training pattern.Training comprises and in the present embodiment, comprising the character that all will be identified: 0-9, C, E, F, H, P, 16 characters of U, for guaranteeing that error can reach requirement, each character need to be trained 80 times.
The training example: 5, idiographic flow is as follows:
First: by the camera collection image, image size: 240*320;
Second: the image to input restores, denoising, and concrete operations have: white balance, and image smoothing, enhancing, gray processing, binaryzation, morphology are processed binaryzation etc.;
The 3rd: obtaining to find 5 in the image original position on the bianry image, i.e. border, and demarcate out, be standardized into 5*5 template image;
The the 4th: calculate each zonule black pixel value, and divided by the area of this zonule, namely obtain black picture element at the shared ratio value in this zonule, and be saved in front 5 of feature according to 5 ratio values of the first row, the second row correspondence 6 ~ 10 of feature, the like, obtain thus 5*5=25 characteristic value, the characteristic value number is too many, and amount of calculation is too large, needs to extract the principal character value, image is carried out the horizontal and vertical projection, each can obtain 5 features, and 10 features are saved in the TXT file altogether; And be standardized into 5*5 module map picture, calculate the black picture element of each piece and count;
The 5th: model is set up, and native system adopts Back propagation, and (be called for short: BP) neutral net, network structure have three layers: input layer, hidden layer, output layer.Characteristic is 10, and therefore inputting node is 10, and hidden layer node is 11, and the output layer node is 4, and these four are output as 4 bits, represents the numeric type of neutral net output.In this example, 5 corresponding outputs 0101;
The the 6th: model training, each character feature value is input to model, and calculate weights and the error of hidden layer, output layer, error is constantly to revise the input value of input layer and hidden layer node, output valve and each tutor's signal (i.e. corresponding character, be 5 in this example) until error reaches system requirements, maximum frequency of training 80.
In the present embodiment, the present invention is by the image of two camera Real-time Collection display boards and angle scale panel, process and recognition technology the state of the signal lamps such as two eight numerals, pattern and the angle of sweeping wind turbine on the display board after the in real time output identification by image.Replaced manual monitoring, increased work efficiency and monitor accuracy.
The above is preferred embodiment of the present invention only, and protection scope of the present invention is not limited to this, anyly all belongs within the protection domain of the present invention based on the equivalent transformation on the technical solution of the present invention.
Claims (10)
1. the automatic monitored control system of a running state of air conditioner, it is characterized in that, it comprises for the camera head of taking the operation of air conditioner characteristic image, and the central processing unit that obtained characteristic image is carried out analyzing and processing, this central processing unit comprises the image capture module that is connected, the image pretreatment module, the image characteristic analysis extraction module, feature comparison model, and output module, the characteristic image that this camera head gathers transfers to this image capture module, then carry out preliminary treatment through the image pretreatment module, carry out signature analysis and extraction by the image characteristic analysis extraction module again, drawn data input feature vector comparison model is identified, and the result of identification is exported by output module again.
2. the automatic monitored control system of running state of air conditioner as claimed in claim 1 is characterized in that, this central processing unit also includes image segmentation and standardized module, and it is connected between image pretreatment module and the image characteristic analysis extraction module.
3. the automatic monitored control system of running state of air conditioner as claimed in claim 2 is characterized in that, this automatic monitored control system also comprises output device, and the output information of output module is showed by output device.
4. the automatic monitored control system of running state of air conditioner as claimed in claim 3 is characterized in that, this output device is display.
5. the automatic monitored control system of running state of air conditioner as claimed in claim 1, it is characterized in that, it also comprises being arranged on sweeps the wind turbine angle device on the air-conditioner, this is swept the wind turbine angle device and comprises the angle scale panel, this angle scale panel is provided with the rotating wind bar of sweeping that an end is positioned at the angle scale face plate center, this rotational angle of sweeping the wind bar and air-conditioner to sweep the wind turbine angle consistent.
6. the automatic monitored control system of running state of air conditioner as claimed in claim 5 is characterized in that, this angle scale panel is provided with angle mark.
7. the automatic monitored control system of running state of air conditioner as claimed in claim 5 is characterized in that, this characteristic image is the air-conditioner display panel image and/or the image of sweeping the wind turbine angle device.
8. an employing is characterized in that such as the automatic monitoring method of claim 1 ~ 7 running state of air conditioner of automatic monitored control system as described in each it comprises the steps:
(1) by camera head acquisition characteristics image, and is sent to the image capture module of central processing unit;
(2) image capture module is sent to the image pretreatment module with the characteristic image that collects and carries out the image preliminary treatment;
(3) the image characteristic analysis extraction module obtains characteristic value to carrying out signature analysis and extraction through pretreated characteristic image;
(4) drawn characteristic value is identified in feature comparison model, and the result of output identification.
9. the automatic monitoring method of running state of air conditioner as claimed in claim 8 is characterized in that, also comprise step between step (2) and step (3): image segmentation and standardized module are cut apart and standardization characteristic image.
10. the automatic monitoring method of running state of air conditioner as claimed in claim 9 is characterized in that, when it also comprises system initialization, sets up feature comparison model, and it comprises the steps:
(a) by camera head acquisition characteristics image, and be sent to the image capture module of central processing unit;
(b) image capture module is sent to the image pretreatment module with the characteristic image that collects and carries out the image preliminary treatment;
(c) the image characteristic analysis extraction module obtains characteristic value to carrying out signature analysis and extraction through pretreated characteristic image;
(d) set up the character feature storehouse, according to character feature training characteristics comparison model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110198335.5A CN102878647B (en) | 2011-07-15 | 2011-07-15 | Automatic monitoring system and automatic monitoring method for air conditioner running state |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110198335.5A CN102878647B (en) | 2011-07-15 | 2011-07-15 | Automatic monitoring system and automatic monitoring method for air conditioner running state |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102878647A true CN102878647A (en) | 2013-01-16 |
CN102878647B CN102878647B (en) | 2015-06-10 |
Family
ID=47480079
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110198335.5A Expired - Fee Related CN102878647B (en) | 2011-07-15 | 2011-07-15 | Automatic monitoring system and automatic monitoring method for air conditioner running state |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102878647B (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103574843A (en) * | 2013-10-25 | 2014-02-12 | 广东美的制冷设备有限公司 | Air conditioner and control method, control terminal and air conditioner system thereof |
CN104793068A (en) * | 2014-01-22 | 2015-07-22 | 佛山市顺德区顺达电脑厂有限公司 | Image acquisition-based automatic test method |
CN108954722A (en) * | 2017-05-18 | 2018-12-07 | 奥克斯空调股份有限公司 | A kind of air-conditioning with depth of field identification function and the air supply method applied to the air-conditioning |
CN111753708A (en) * | 2020-06-19 | 2020-10-09 | 珠海格力电器股份有限公司 | Method, storage medium, system and electronic device for automatically judging state of indicator light |
CN112118307A (en) * | 2020-09-14 | 2020-12-22 | 珠海格力电器股份有限公司 | Method for downloading equipment data |
CN112254319A (en) * | 2020-10-20 | 2021-01-22 | 安徽南国机电科技发展有限公司 | Central air conditioning console with unattended intelligent operation |
CN112254282A (en) * | 2020-10-20 | 2021-01-22 | 安徽南国机电科技发展有限公司 | Central air conditioning console with thing networking remote monitoring function |
CN113272595A (en) * | 2019-01-09 | 2021-08-17 | 三星电子株式会社 | Electronic device and control method thereof |
CN113685972A (en) * | 2021-09-07 | 2021-11-23 | 广东电网有限责任公司 | Air conditioning system control strategy identification method, device, equipment and medium |
CN114371745A (en) * | 2021-12-29 | 2022-04-19 | 徐州捷科思网络科技有限公司 | Temperature control system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0849699A2 (en) * | 1996-12-17 | 1998-06-24 | Honda Giken Kogyo Kabushiki Kaisha | System and method for image recognition |
CN201196564Y (en) * | 2008-03-10 | 2009-02-18 | 马敬超 | Angle measurement apparatus |
CN101375796A (en) * | 2008-09-18 | 2009-03-04 | 浙江工业大学 | Real-time detection system of fatigue driving |
CN101673338A (en) * | 2009-10-09 | 2010-03-17 | 南京树声科技有限公司 | Fuzzy license plate identification method based on multi-angle projection |
CN102020036A (en) * | 2010-11-02 | 2011-04-20 | 昆明理工大学 | Visual detection method for transparent paper defect of outer package of strip cigarette |
CN202141155U (en) * | 2011-07-15 | 2012-02-08 | 珠海格力电器股份有限公司 | Automatic monitoring system for air conditioner running state |
-
2011
- 2011-07-15 CN CN201110198335.5A patent/CN102878647B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0849699A2 (en) * | 1996-12-17 | 1998-06-24 | Honda Giken Kogyo Kabushiki Kaisha | System and method for image recognition |
CN201196564Y (en) * | 2008-03-10 | 2009-02-18 | 马敬超 | Angle measurement apparatus |
CN101375796A (en) * | 2008-09-18 | 2009-03-04 | 浙江工业大学 | Real-time detection system of fatigue driving |
CN101673338A (en) * | 2009-10-09 | 2010-03-17 | 南京树声科技有限公司 | Fuzzy license plate identification method based on multi-angle projection |
CN102020036A (en) * | 2010-11-02 | 2011-04-20 | 昆明理工大学 | Visual detection method for transparent paper defect of outer package of strip cigarette |
CN202141155U (en) * | 2011-07-15 | 2012-02-08 | 珠海格力电器股份有限公司 | Automatic monitoring system for air conditioner running state |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103574843A (en) * | 2013-10-25 | 2014-02-12 | 广东美的制冷设备有限公司 | Air conditioner and control method, control terminal and air conditioner system thereof |
CN103574843B (en) * | 2013-10-25 | 2016-06-15 | 广东美的制冷设备有限公司 | Air-conditioner and control method, control terminal, air-conditioner system |
CN104793068A (en) * | 2014-01-22 | 2015-07-22 | 佛山市顺德区顺达电脑厂有限公司 | Image acquisition-based automatic test method |
CN108954722A (en) * | 2017-05-18 | 2018-12-07 | 奥克斯空调股份有限公司 | A kind of air-conditioning with depth of field identification function and the air supply method applied to the air-conditioning |
CN108954722B (en) * | 2017-05-18 | 2020-11-06 | 奥克斯空调股份有限公司 | Air conditioner with depth-of-field recognition function and air supply method applied to air conditioner |
CN113272595A (en) * | 2019-01-09 | 2021-08-17 | 三星电子株式会社 | Electronic device and control method thereof |
CN111753708A (en) * | 2020-06-19 | 2020-10-09 | 珠海格力电器股份有限公司 | Method, storage medium, system and electronic device for automatically judging state of indicator light |
CN112118307A (en) * | 2020-09-14 | 2020-12-22 | 珠海格力电器股份有限公司 | Method for downloading equipment data |
CN112254319A (en) * | 2020-10-20 | 2021-01-22 | 安徽南国机电科技发展有限公司 | Central air conditioning console with unattended intelligent operation |
CN112254282A (en) * | 2020-10-20 | 2021-01-22 | 安徽南国机电科技发展有限公司 | Central air conditioning console with thing networking remote monitoring function |
CN113685972A (en) * | 2021-09-07 | 2021-11-23 | 广东电网有限责任公司 | Air conditioning system control strategy identification method, device, equipment and medium |
CN114371745A (en) * | 2021-12-29 | 2022-04-19 | 徐州捷科思网络科技有限公司 | Temperature control system |
Also Published As
Publication number | Publication date |
---|---|
CN102878647B (en) | 2015-06-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102878647B (en) | Automatic monitoring system and automatic monitoring method for air conditioner running state | |
CN109360396A (en) | Remote meter reading method and system based on image recognition technology and NB-IoT technology | |
CN107229930B (en) | Intelligent identification method for numerical value of pointer instrument | |
CN109389161A (en) | Rubbish identification evolutionary learning method, apparatus, system and medium based on deep learning | |
CN108537154A (en) | Transmission line of electricity Bird's Nest recognition methods based on HOG features and machine learning | |
CN110460782A (en) | Information collecting device, method, crusing robot and storage medium | |
CN103136512A (en) | Pupil positioning method and system | |
CN106127205A (en) | A kind of recognition methods of the digital instrument image being applicable to indoor track machine people | |
CN112367400B (en) | Intelligent inspection method and system for power internet of things with edge cloud coordination | |
CN113989944B (en) | Operation action recognition method, device and storage medium | |
CN109297978B (en) | Binocular imaging-based power line unmanned aerial vehicle inspection and defect intelligent diagnosis system | |
CN103344583A (en) | Praseodymium-neodymium (Pr/Nd) component content detection system and method based on machine vision | |
CN116630766B (en) | Multi-source information data processing system, method and equipment | |
CN107392202A (en) | A kind of pointer type Recognition of Reading method and system | |
CN111562540B (en) | Electric energy meter detection monitoring method based on dynamic image recognition and analysis | |
CN114758249A (en) | Target object monitoring method, device, equipment and medium based on field night environment | |
CN109443812A (en) | Hvac equipment fault diagnosis method and system based on view data | |
CN202141155U (en) | Automatic monitoring system for air conditioner running state | |
Jin et al. | A Smart Water Metering System Based on Image Recognition and Narrowband Internet of Things. | |
CN104166416B (en) | Internet-of-things system for controlling indoor light illumination temperature | |
CN115171045A (en) | YOLO-based power grid operation field violation identification method and terminal | |
CN114529537A (en) | Abnormal target detection method, system, equipment and medium for photovoltaic panel | |
CN114627461A (en) | Method and system for high-precision identification of water gauge data based on artificial intelligence | |
CN117635905A (en) | Intelligent monitoring method for electric energy meter attachment quality based on image recognition algorithm | |
CN117560824A (en) | Intelligent street lamp management system and method based on Internet of things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150610 |
|
CF01 | Termination of patent right due to non-payment of annual fee |