CN109916062B - Cabinet air conditioner based on image measurement - Google Patents
Cabinet air conditioner based on image measurement Download PDFInfo
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Abstract
The invention relates to a cabinet air conditioner based on image measurement, which comprises: the alternating current motor is arranged in the cabinet body of the air conditioner and used for providing power for the operation of the air conditioner; the electric structure is arranged in the cabinet body of the air conditioner and comprises a temperature controller, a relay, a capacitor and a heater; the dust measuring instrument comprises an emission control switch, a parallel light emitter, a light intensity detector and a dust estimator; the state verification equipment is used for obtaining the brightness value of each pixel point in the fragment combination image, taking the pixel points with the brightness value smaller than or equal to the smoke brightness threshold value as smoke pixel points, determining the number of the smoke pixel points in the fragment combination image as a first number, determining the number of all the pixel points in the fragment combination image as a second number, dividing the first number by the second number to obtain a proportion numerical value, and sending a smoke alarm signal when the proportion numerical value exceeds the limit. By the invention, the operation reliability of the cabinet air conditioner is improved.
Description
Technical Field
The invention relates to the field of cabinet air conditioners, in particular to a cabinet air conditioner based on image measurement.
Background
The cabinet air conditioner is one of split air conditioners, is generally used in families and small offices, has the advantages of high power, strong wind power and the like, has a relatively higher price starting point, is generally suitable for rooms with larger areas, and is determined according to the actual needs of users when buying a hanging air conditioner or a cabinet air conditioner. The small area of the living room can be dealt with by buying the table-hanging air conditioner, and if the area of the living room is larger, the cabinet air conditioner is preferably bought so as to ensure good refrigerating and heating effects.
Disclosure of Invention
In order to solve the technical problem that hardware resources of the existing cabinet air conditioner are not fully utilized, the invention provides a cabinet air conditioner based on image measurement, wherein a sharpening processing strategy for each fragment is determined based on a sorting result of an average value of Y channel values of each fragment in an image, and different sharpening strengths of each fragment are determined based on a fuzzy degree strength comparison table; carrying out high-precision image simplification processing on the image with enhanced contrast to obtain an image to be analyzed, so as to facilitate subsequent image identification and image detection; physically detecting the existence of dust particles by using a customized dust measuring instrument based on the relative attenuation rate of the parallel monochromatic light of the detection general knowledge, confirming the dust particles by using an image analysis mode on the basis, and directionally removing the dust particles by using an ultrasonic dust removal mode; on the basis of the high-precision processing, an effective smoke detection mechanism is introduced into the existing hardware platform.
According to an aspect of the present invention, there is provided an image measurement-based cabinet air conditioner including:
the alternating current motor is arranged in the cabinet body of the air conditioner and used for providing power for the operation of the air conditioner; the electric structure is arranged in the cabinet body of the air conditioner and comprises a temperature controller, a relay, a capacitor and a heater; the dust measuring instrument comprises an emission control switch, a parallel light emitter, a light intensity detector and a dust estimator, wherein the emission control switch is used for turning on the parallel light emitter when the dust measuring instrument is in a working mode and also used for turning off the parallel light emitter when the dust measuring instrument is in a power-saving mode, the parallel light emitter is arranged right above an image sensor and used for sending a beam of parallel monochromatic light to the surface of the image sensor, the light intensity detector is arranged on the surface of the image sensor and used for measuring a voltage value obtained by converting the parallel monochromatic light into an electric signal to be used as an actual voltage, the actual voltage is divided by a preset reference voltage to obtain a relative attenuation rate, and when the relative attenuation rate exceeds a limited amount, a dust exceeding signal is sent out; the image acquisition equipment is used for acquiring panoramic image data of the environment where the air conditioner is located so as to output a panoramic acquisition image; the image analysis equipment is respectively connected with the dust measuring instrument and the image acquisition equipment, and is used for entering a working mode from a power saving mode when the dust exceeding signal is received, and executing the following operations on the panoramic acquisition image in the working mode: taking pixel points with brightness values within a preset dust brightness value range as pixel points to be processed, and fitting each pixel point to be processed in the panoramic collected image into a plurality of regions to be processed; the dust confirmation equipment is connected with the image analysis equipment and used for receiving the multiple to-be-processed areas, taking the to-be-processed areas with the areas matched with the preset dust areas as dust areas, and sending a processing trigger signal when the number of the dust areas in the panoramic acquisition image exceeds the limit; the ultrasonic dust removal equipment is connected with the dust confirmation equipment and used for receiving the number of dust areas in the panoramic collected image from the dust confirmation equipment when the processing trigger signal is received, and adopting an ultrasonic dust removal mode with corresponding intensity based on the number of the dust areas in the panoramic collected image; the contrast enhancement equipment is connected with the image acquisition equipment and used for receiving the panoramic acquisition image, executing contrast enhancement processing on the panoramic acquisition image to obtain a contrast enhanced image and outputting the contrast enhanced image; the first noise processing device is connected with the contrast enhancement device and used for receiving the contrast enhancement image and carrying out noise type analysis on the contrast enhancement image so as to obtain various noise types in the contrast enhancement image and the maximum amplitude corresponding to each noise type; the second noise processing equipment is connected with the first noise processing equipment and used for receiving various noise types in the contrast enhanced image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types; the weight analysis device is connected with the second noise processing device and is used for receiving the three types of noise to be processed, determining three influence weights respectively corresponding to the three types of noise to be processed based on the type weight comparison table, sequentially correcting the initialized binary threshold value by adopting the three influence weights to obtain a corrected threshold value after the correction processing is finished, and outputting the corrected threshold value; the image simplifying device is connected with the weight analyzing device and used for receiving the revised threshold value, performing binarization processing on the contrast enhanced image by adopting the revised threshold value to obtain an image to be analyzed and outputting the image to be analyzed; the nonlinear filtering equipment is connected with the image simplifying equipment and used for receiving the image to be analyzed and executing a nonlinear filtering image on the image to be analyzed so as to obtain and output a corresponding nonlinear filtering image; the SD memory chip is respectively connected with the fragment sorting equipment and the ambiguity processing equipment, and is used for storing the preset number and storing an ambiguity strength comparison table, wherein the ambiguity strength comparison table stores the strength corresponding to various ambiguities, and the ambiguity strength comparison table takes the ambiguity as an index; the fragment sorting device is connected with the nonlinear filtering device and used for receiving the nonlinear filtering image and carrying out average value calculation on Y channel values of all fragments of the nonlinear filtering image to obtain average values of all Y channel values of all fragments, wherein the fragments are the same in size; the fragment sorting device is further configured to sort the average values of the Y channel values of the fragments, output a plurality of fragments with preset numbers of sequence numbers arranged at the head and a plurality of fragments with preset numbers of sequence numbers arranged at the tail as the fragments to be processed, and output the fragments except the fragments to be processed in the nonlinear filtering image as background fragments; in the tile sorting apparatus, performing an average calculation of Y-channel values for each tile of the non-linear filtered image to obtain an average value of each Y-channel value for each tile includes: acquiring a Y-channel value of each pixel point of each fragment, sequencing the Y-channel values of the pixel points from large to small, and taking the Y-channel value of the pixel point with the serial number in the center as an average value of the Y-channel values of the corresponding fragments; the ambiguity processing device is connected with the fragment sorting device and is used for receiving the fragments to be processed and the background fragments and executing the following operations for each fragment to be processed: performing corresponding sharpening processing on the fragments to be processed based on the fuzziness of the fragments to be processed to obtain corresponding sharpened fragments; the image reconstruction device is connected with the ambiguity processing device and is used for receiving a plurality of sharpening processing fragments, combining the sharpening processing fragments and the background fragments to obtain a fragment combination image and outputting the fragment combination image; and the state verification equipment is connected with the image reconstruction equipment and used for receiving the fragment combination image, acquiring the brightness value of each pixel point in the fragment combination image, taking the pixel points with the brightness values smaller than or equal to a smoke brightness threshold value as smoke pixel points, determining the number of the smoke pixel points in the fragment combination image as a first number, determining the number of all the pixel points in the fragment combination image as a second number, dividing the first number by the second number to obtain a proportion numerical value, and sending a smoke alarm signal when the proportion numerical value exceeds the limit.
More specifically, in the cabinet air conditioner based on image measurement: and in the object acquisition equipment, when the proportion value is not over-limit, sending a smoke normal signal.
More specifically, in the cabinet air conditioner based on image measurement: in the ultrasonic dust removing apparatus, an ultrasonic dust removing mode employing a corresponding intensity based on the number of dust areas in the panorama captured image includes: the larger the number of dust areas in the panoramic captured image, the higher the corresponding intensity of the ultrasonic dedusting mode employed.
More specifically, in the cabinet air conditioner based on image measurement: in the ambiguity processing device, the greater the ambiguity, the greater the strength of performing corresponding sharpening processing on the fragments to be processed, and the greater the dynamic distribution range of the fragments to be processed, the smaller the ambiguity.
More specifically, in the cabinet air conditioner based on image measurement: the dust measuring instrument is also used for sending a dust normal signal when the relative attenuation rate does not exceed a limited amount.
More specifically, in the cabinet air conditioner based on image measurement: the emission power of the parallel monochromatic light emitted by the parallel light emitter is constant.
More specifically, in the cabinet air conditioner based on image measurement: the preset reference voltage is a voltage value obtained by converting the parallel monochromatic light into an electric signal when no dust exists on the image sensor.
More specifically, in the cabinet air conditioner based on image measurement: the weight analysis device also prestores the type weight comparison table, and the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for prestoring the initialization binarization threshold value.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating a cabinet air conditioner based on image measurement according to an embodiment of the present invention.
Detailed Description
Embodiments of the cabinet air conditioner based on image measurement according to the present invention will be described in detail with reference to the accompanying drawings.
The power of the cabinet air conditioner is larger, generally more than 2, the requirement on a circuit is higher during working, wires with small sections and small electric meters cannot meet the requirement, and copper core wires and electric meters with the size of more than 20A can be preferably used to avoid possible hidden dangers.
In order to overcome the defects, the invention builds the cabinet air conditioner based on image measurement, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic structural diagram illustrating a cabinet air conditioner based on image measurement according to an embodiment of the present invention, the cabinet air conditioner including:
the alternating current motor is arranged in the cabinet body of the air conditioner and used for providing power for the operation of the air conditioner;
the electric structure is arranged in the cabinet body of the air conditioner and comprises a temperature controller, a relay, a capacitor and a heater;
the dust measuring instrument comprises an emission control switch, a parallel light emitter, a light intensity detector and a dust estimator, wherein the emission control switch is used for turning on the parallel light emitter when the dust measuring instrument is in a working mode and also used for turning off the parallel light emitter when the dust measuring instrument is in a power-saving mode, the parallel light emitter is arranged right above an image sensor and used for sending a beam of parallel monochromatic light to the surface of the image sensor, the light intensity detector is arranged on the surface of the image sensor and used for measuring a voltage value obtained by converting the parallel monochromatic light into an electric signal to be used as an actual voltage, the actual voltage is divided by a preset reference voltage to obtain a relative attenuation rate, and when the relative attenuation rate exceeds a limited amount, a dust exceeding signal is sent out;
the image acquisition equipment is used for acquiring panoramic image data of the environment where the air conditioner is located so as to output a panoramic acquisition image;
the image analysis equipment is respectively connected with the dust measuring instrument and the image acquisition equipment, and is used for entering a working mode from a power saving mode when the dust exceeding signal is received, and executing the following operations on the panoramic acquisition image in the working mode: taking pixel points with brightness values within a preset dust brightness value range as pixel points to be processed, and fitting each pixel point to be processed in the panoramic collected image into a plurality of regions to be processed;
the dust confirmation equipment is connected with the image analysis equipment and used for receiving the multiple to-be-processed areas, taking the to-be-processed areas with the areas matched with the preset dust areas as dust areas, and sending a processing trigger signal when the number of the dust areas in the panoramic acquisition image exceeds the limit;
the ultrasonic dust removal equipment is connected with the dust confirmation equipment and used for receiving the number of dust areas in the panoramic collected image from the dust confirmation equipment when the processing trigger signal is received, and adopting an ultrasonic dust removal mode with corresponding intensity based on the number of the dust areas in the panoramic collected image;
the contrast enhancement equipment is connected with the image acquisition equipment and used for receiving the panoramic acquisition image, executing contrast enhancement processing on the panoramic acquisition image to obtain a contrast enhanced image and outputting the contrast enhanced image;
the first noise processing device is connected with the contrast enhancement device and used for receiving the contrast enhancement image and carrying out noise type analysis on the contrast enhancement image so as to obtain various noise types in the contrast enhancement image and the maximum amplitude corresponding to each noise type;
the second noise processing equipment is connected with the first noise processing equipment and used for receiving various noise types in the contrast enhanced image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types;
the weight analysis device is connected with the second noise processing device and is used for receiving the three types of noise to be processed, determining three influence weights respectively corresponding to the three types of noise to be processed based on the type weight comparison table, sequentially correcting the initialized binary threshold value by adopting the three influence weights to obtain a corrected threshold value after the correction processing is finished, and outputting the corrected threshold value;
the image simplifying device is connected with the weight analyzing device and used for receiving the revised threshold value, performing binarization processing on the contrast enhanced image by adopting the revised threshold value to obtain an image to be analyzed and outputting the image to be analyzed;
the nonlinear filtering equipment is connected with the image simplifying equipment and used for receiving the image to be analyzed and executing a nonlinear filtering image on the image to be analyzed so as to obtain and output a corresponding nonlinear filtering image;
the SD memory chip is respectively connected with the fragment sorting equipment and the ambiguity processing equipment, and is used for storing the preset number and storing an ambiguity strength comparison table, wherein the ambiguity strength comparison table stores the strength corresponding to various ambiguities, and the ambiguity strength comparison table takes the ambiguity as an index;
the fragment sorting device is connected with the nonlinear filtering device and used for receiving the nonlinear filtering image and carrying out average value calculation on Y channel values of all fragments of the nonlinear filtering image to obtain average values of all Y channel values of all fragments, wherein the fragments are the same in size; the fragment sorting device is further configured to sort the average values of the Y channel values of the fragments, output a plurality of fragments with preset numbers of sequence numbers arranged at the head and a plurality of fragments with preset numbers of sequence numbers arranged at the tail as the fragments to be processed, and output the fragments except the fragments to be processed in the nonlinear filtering image as background fragments; in the tile sorting apparatus, performing an average calculation of Y-channel values for each tile of the non-linear filtered image to obtain an average value of each Y-channel value for each tile includes: acquiring a Y-channel value of each pixel point of each fragment, sequencing the Y-channel values of the pixel points from large to small, and taking the Y-channel value of the pixel point with the serial number in the center as an average value of the Y-channel values of the corresponding fragments;
the ambiguity processing device is connected with the fragment sorting device and is used for receiving the fragments to be processed and the background fragments and executing the following operations for each fragment to be processed: performing corresponding sharpening processing on the fragments to be processed based on the fuzziness of the fragments to be processed to obtain corresponding sharpened fragments;
the image reconstruction device is connected with the ambiguity processing device and is used for receiving a plurality of sharpening processing fragments, combining the sharpening processing fragments and the background fragments to obtain a fragment combination image and outputting the fragment combination image;
and the state verification equipment is connected with the image reconstruction equipment and used for receiving the fragment combination image, acquiring the brightness value of each pixel point in the fragment combination image, taking the pixel points with the brightness values smaller than or equal to a smoke brightness threshold value as smoke pixel points, determining the number of the smoke pixel points in the fragment combination image as a first number, determining the number of all the pixel points in the fragment combination image as a second number, dividing the first number by the second number to obtain a proportion numerical value, and sending a smoke alarm signal when the proportion numerical value exceeds the limit.
Next, the detailed structure of the cabinet air conditioner based on the image measurement according to the present invention will be further described.
In the image measurement-based cabinet air conditioner: and in the object acquisition equipment, when the proportion value is not over-limit, sending a smoke normal signal.
In the image measurement-based cabinet air conditioner: in the ultrasonic dust removing apparatus, an ultrasonic dust removing mode employing a corresponding intensity based on the number of dust areas in the panorama captured image includes: the larger the number of dust areas in the panoramic captured image, the higher the corresponding intensity of the ultrasonic dedusting mode employed.
In the image measurement-based cabinet air conditioner: in the ambiguity processing device, the greater the ambiguity, the greater the strength of performing corresponding sharpening processing on the fragments to be processed, and the greater the dynamic distribution range of the fragments to be processed, the smaller the ambiguity.
In the image measurement-based cabinet air conditioner: the dust measuring instrument is also used for sending a dust normal signal when the relative attenuation rate does not exceed a limited amount.
In the image measurement-based cabinet air conditioner: the emission power of the parallel monochromatic light emitted by the parallel light emitter is constant.
In the image measurement-based cabinet air conditioner: the preset reference voltage is a voltage value obtained by converting the parallel monochromatic light into an electric signal when no dust exists on the image sensor.
And in the image measurement based cabinet air conditioner: the weight analysis device also prestores the type weight comparison table, and the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for prestoring the initialization binarization threshold value.
In addition, a FLASH memory is adopted to replace the SD memory chip. FLASH memory is a non-volatile memory that can be erased and reprogrammed in blocks of memory cells called blocks. The write operation of any flash device can only be performed in empty or erased cells, so in most cases, the erase must be performed before the write operation can be performed. While it is simple for a NAND device to perform an erase operation, NOR requires that all bits in the target block be written to 0 before an erase can be performed.
Since erasing NOR devices is performed in blocks of 64-128 KB, the time for performing a write/erase operation is 5s, whereas erasing NAND devices is performed in blocks of 8-32 KB, which requires only 4ms at most to perform the same operation.
The difference in block size when performing erasures further increases the performance gap between NOR and NADN, and statistics show that for a given set of write operations (especially when updating small files), more erase operations must be performed in NOR-based cells.
By adopting the cabinet air conditioner based on image measurement, aiming at the technical problem that the cabinet air conditioner cannot monitor on site in the prior art, the sharpening processing strategy of each fragment is determined based on the sequencing result of the average value of the Y channel values of each fragment in the image, wherein different sharpening strengths of each fragment are determined based on the ambiguity strength comparison table; carrying out high-precision image simplification processing on the image with enhanced contrast to obtain an image to be analyzed, so as to facilitate subsequent image identification and image detection; physically detecting the existence of dust particles by using a customized dust measuring instrument based on the relative attenuation rate of the parallel monochromatic light of the detection general knowledge, confirming the dust particles by using an image analysis mode on the basis, and directionally removing the dust particles by using an ultrasonic dust removal mode; on the basis of the high-precision processing, an effective smoke detection mechanism is introduced into the existing hardware platform, so that the technical problem is solved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (4)
1. An image measurement based cabinet air conditioner, the cabinet air conditioner comprising:
the alternating current motor is arranged in the cabinet body of the air conditioner and used for providing power for the operation of the air conditioner;
the electric structure is arranged in the cabinet body of the air conditioner and comprises a temperature controller, a relay, a capacitor and a heater;
the dust measuring instrument comprises an emission control switch, a parallel light emitter, a light intensity detector and a dust estimator, wherein the emission control switch is used for turning on the parallel light emitter when the dust measuring instrument is in a working mode and also used for turning off the parallel light emitter when the dust measuring instrument is in a power-saving mode, the parallel light emitter is arranged right above an image sensor and used for sending a beam of parallel monochromatic light to the surface of the image sensor, the light intensity detector is arranged on the surface of the image sensor and used for measuring a voltage value obtained by converting the parallel monochromatic light into an electric signal to be used as an actual voltage, the actual voltage is divided by a preset reference voltage to obtain a relative attenuation rate, and when the relative attenuation rate exceeds a limited amount, a dust exceeding signal is sent out;
the image acquisition equipment is used for acquiring panoramic image data of the environment where the air conditioner is located so as to output a panoramic acquisition image;
the image analysis equipment is respectively connected with the dust measuring instrument and the image acquisition equipment, and is used for entering a working mode from a power saving mode when the dust exceeding signal is received, and executing the following operations on the panoramic acquisition image in the working mode: taking pixel points with brightness values within a preset dust brightness value range as pixel points to be processed, and fitting each pixel point to be processed in the panoramic collected image into a plurality of regions to be processed;
the dust confirmation equipment is connected with the image analysis equipment and used for receiving the multiple to-be-processed areas, taking the to-be-processed areas with the areas matched with the preset dust areas as dust areas, and sending a processing trigger signal when the number of the dust areas in the panoramic acquisition image exceeds the limit;
the ultrasonic dust removal equipment is connected with the dust confirmation equipment and used for receiving the number of dust areas in the panoramic collected image from the dust confirmation equipment when the processing trigger signal is received, and adopting an ultrasonic dust removal mode with corresponding intensity based on the number of the dust areas in the panoramic collected image;
the contrast enhancement equipment is connected with the image acquisition equipment and used for receiving the panoramic acquisition image, executing contrast enhancement processing on the panoramic acquisition image to obtain a contrast enhanced image and outputting the contrast enhanced image;
the first noise processing device is connected with the contrast enhancement device and used for receiving the contrast enhancement image and carrying out noise type analysis on the contrast enhancement image so as to obtain various noise types in the contrast enhancement image and the maximum amplitude corresponding to each noise type;
the second noise processing equipment is connected with the first noise processing equipment and used for receiving various noise types in the contrast enhanced image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types;
the weight analysis device is connected with the second noise processing device and used for receiving the three types of noise to be processed, determining three influence weights respectively corresponding to the three types of noise to be processed based on the type weight comparison table, sequentially correcting the initialized binary threshold value by adopting the three influence weights to obtain a corrected threshold value after the correction processing is finished, and outputting the corrected threshold value;
the image simplifying device is connected with the weight analyzing device and used for receiving the revised threshold value, performing binarization processing on the contrast enhanced image by adopting the revised threshold value to obtain an image to be analyzed and outputting the image to be analyzed;
the nonlinear filtering equipment is connected with the image simplifying equipment and used for receiving the image to be analyzed and executing a nonlinear filtering image on the image to be analyzed so as to obtain and output a corresponding nonlinear filtering image;
the SD memory chip is respectively connected with the fragment sorting equipment and the ambiguity processing equipment and is also used for storing an ambiguity strength comparison table, wherein the ambiguity strength comparison table stores strengths corresponding to various ambiguities, and the ambiguity strength comparison table takes the ambiguities as indexes;
the fragment sorting device is connected with the nonlinear filtering device and used for receiving the nonlinear filtering image and carrying out average value calculation on Y channel values of all fragments of the nonlinear filtering image to obtain average values of all Y channel values of all fragments, wherein the fragments are the same in size; the fragment sorting device is further configured to sort the average values of the Y channel values of the fragments, output a plurality of fragments with preset numbers of sequence numbers arranged at the head and a plurality of fragments with preset numbers of sequence numbers arranged at the tail as the fragments to be processed, and output the fragments except the fragments to be processed in the nonlinear filtering image as background fragments; in the tile sorting apparatus, performing an average calculation of Y-channel values for each tile of the non-linear filtered image to obtain an average value of each Y-channel value for each tile includes: acquiring a Y-channel value of each pixel point of each fragment, sequencing the Y-channel values of the pixel points from large to small, and taking the Y-channel value of the pixel point with the serial number in the center as an average value of the Y-channel values of the corresponding fragments;
the ambiguity processing device is connected with the fragment sorting device and is used for receiving the fragments to be processed and the background fragments and executing the following operations for each fragment to be processed: performing corresponding sharpening processing on the fragments to be processed based on the fuzziness of the fragments to be processed to obtain corresponding sharpened fragments;
the image reconstruction device is connected with the ambiguity processing device and is used for receiving a plurality of sharpening processing fragments, combining the sharpening processing fragments and the background fragments to obtain a fragment combination image and outputting the fragment combination image;
the state verification equipment is connected with the image reconstruction equipment and used for receiving the fragment combination image, acquiring the brightness value of each pixel point in the fragment combination image, taking the pixel points with the brightness values smaller than or equal to a smoke brightness threshold value as smoke pixel points, determining the number of the smoke pixel points in the fragment combination image as a first number, determining the number of all the pixel points in the fragment combination image as a second number, dividing the first number by the second number to obtain a proportion numerical value, and sending a smoke alarm signal when the proportion numerical value exceeds the limit;
in the state verification equipment, when the proportion value is not over-limit, a smoke normal signal is sent out;
in the ultrasonic dust removing apparatus, an ultrasonic dust removing mode employing a corresponding intensity based on the number of dust areas in the panorama captured image includes: the larger the number of dust areas in the panoramic captured image is, the higher the corresponding intensity of the adopted ultrasonic dust removal mode is;
in the ambiguity processing device, the greater the ambiguity, the greater the strength of performing corresponding sharpening processing on the fragments to be processed, and the greater the dynamic distribution range of the fragments to be processed is adopted to represent the ambiguity, the wider the dynamic distribution range is, the smaller the ambiguity is;
the dust measuring instrument is also used for sending a dust normal signal when the relative attenuation rate does not exceed a limited amount.
2. The cabinet air conditioner based on image measurement as claimed in claim 1, wherein:
the emission power of the parallel monochromatic light emitted by the parallel light emitter is constant.
3. The cabinet air conditioner based on image measurement as claimed in claim 2, wherein:
the preset reference voltage is a voltage value obtained by converting the parallel monochromatic light into an electric signal when no dust exists on the image sensor.
4. The cabinet air conditioner based on image measurement as claimed in claim 3, wherein:
the weight analysis device also prestores the type weight comparison table, and the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for prestoring the initialization binarization threshold value.
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| CN103759399A (en) * | 2014-01-15 | 2014-04-30 | 储亚兰 | Air conditioner dedusting device |
| CN104596051A (en) * | 2015-01-29 | 2015-05-06 | 皓庭(唐山）环境科技有限公司 | Image detection system for filter screen of air purification device |
| CN104990198A (en) * | 2015-05-18 | 2015-10-21 | 广东美的制冷设备有限公司 | Air conditioner, and fire detection-control method and system of air conditioner |
| CN107504639A (en) * | 2017-08-18 | 2017-12-22 | 广东美的制冷设备有限公司 | The control method and device of air conditioner and wherein dust sensor |
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