CN117871419A - Air quality detection method and device based on optical camera holder control - Google Patents
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Abstract
The invention discloses an air quality detection method and device based on optical camera holder control. Wherein the method comprises the following steps: acquiring original image data and original sensing data; splitting the original image data to obtain meteorological factor data; fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters; and inputting the air quality parameters into a detection matching matrix to obtain an air quality detection result. The invention solves the technical problems that in the prior art, the air quality is only judged by parameter acquisition and identification through a sensor in the detection process of the air quality, the air quality can not be judged by combining the image acquisition data and the sensing data and combining linkage, and the accuracy of the air quality judgment is reduced.
Description
Technical Field
The invention relates to the field of image detection, in particular to an air quality detection method and device based on optical camera holder control.
Background
Along with the continuous development of intelligent science and technology, intelligent equipment is increasingly used in life, work and study of people, and the quality of life of people is improved and the learning and working efficiency of people is increased by using intelligent science and technology means.
At present, when the air quality is detected or monitored for a long time, an instrument or a method for detecting the air quality is usually used, but in the prior art, the air quality is detected only through a sensor in the detection process, the air quality cannot be judged by combining the image acquisition data and the sensing data and combining linkage, and the accuracy of air quality judgment is reduced.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides an air quality detection method and device based on optical camera holder control, which at least solve the technical problems that in the prior art, the air quality is only acquired and identified by a sensor in the detection process of the air quality, the air quality cannot be judged by combining image acquisition data and sensing data and combining linkage, and the accuracy of the air quality judgment is reduced.
According to an aspect of the embodiment of the invention, there is provided an air quality detection method based on optical camera pan-tilt control, including: acquiring original image data and original sensing data; splitting the original image data to obtain meteorological factor data; fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters; and inputting the air quality parameters into a detection matching matrix to obtain an air quality detection result.
Optionally, the splitting the original image data to obtain weather factor data includes: obtaining image characteristic parameters in the original image data, wherein the image characteristic parameters comprise: RGB feature parameters, size feature parameters; extracting pixel data which are larger than a preset meteorological threshold value from the RGB characteristic parameters; and fusing the pixel data and the original image data to obtain the meteorological factor data.
Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
Optionally, inputting the air quality parameter into a detection matching matrix, and obtaining an air quality detection result includes: obtaining the detection matching matrix, wherein the detection matching matrix comprises:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and matching the air quality parameter into the air quality detection result through the detection matching matrix.
According to another aspect of the embodiment of the present invention, there is also provided an air quality detection device based on optical camera pan-tilt control, including: the acquisition module is used for acquiring the original image data and the original sensing data; the splitting module is used for splitting the original image data to obtain meteorological factor data; the summarizing module is used for fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters; and the input module is used for inputting the air quality parameters into the detection matching matrix to obtain an air quality detection result.
Optionally, the splitting module includes: an obtaining unit, configured to obtain an image feature parameter in the original image data, where the image feature parameter includes: RGB feature parameters, size feature parameters; the extraction unit is used for extracting pixel data which are larger than a preset weather threshold value in the RGB characteristic parameters; and the fusion unit is used for fusing the pixel data and the original image data to obtain the meteorological factor data.
Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
Optionally, the input module includes: an obtaining unit, configured to obtain the detection matching matrix, where the detection matching matrix includes:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and the matching unit is used for matching the air quality parameter into the air quality detection result through the detection matching matrix.
According to another aspect of the embodiment of the present invention, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute an air quality detection method based on optical camera pan-tilt control.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the storage is stored with computer readable instructions, and the processor is used for running the computer readable instructions, wherein the computer readable instructions execute an air quality detection method based on optical camera holder control when running.
In the embodiment of the invention, the original image data and the original sensing data are acquired; splitting the original image data to obtain meteorological factor data; fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters; the air quality parameters are input into the detection matching matrix to obtain an air quality detection result, so that the technical problem that the air quality can not be judged by combining the image acquisition data and the sensing data and combining linkage only by carrying out parameter acquisition and identification judgment on the air quality through a sensor in the detection process of the air quality in the prior art is solved, and the accuracy of air quality judgment is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of an air quality detection method based on optical camera pan-tilt control according to an embodiment of the present invention;
FIG. 2 is a block diagram of an air quality detection device based on optical camera pan-tilt control according to an embodiment of the present invention;
fig. 3 is a block diagram of a terminal device for performing the method according to the invention according to an embodiment of the invention;
fig. 4 is a memory unit for holding or carrying program code for implementing a method according to the invention, according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method embodiment of an air quality detection method based on optical camera head control, it should be noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that herein.
Example 1
Fig. 1 is a flowchart of an air quality detection method based on optical camera pan-tilt control according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring original image data and original sensing data.
And step S104, splitting the original image data to obtain meteorological factor data.
And S106, fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters.
And S108, inputting the air quality parameters into a detection matching matrix to obtain an air quality detection result.
Optionally, the splitting the original image data to obtain weather factor data includes: obtaining image characteristic parameters in the original image data, wherein the image characteristic parameters comprise: RGB feature parameters, size feature parameters; extracting pixel data which are larger than a preset meteorological threshold value from the RGB characteristic parameters; and fusing the pixel data and the original image data to obtain the meteorological factor data.
Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
Optionally, inputting the air quality parameter into a detection matching matrix, and obtaining an air quality detection result includes: obtaining the detection matching matrix, wherein the detection matching matrix comprises:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and matching the air quality parameter into the air quality detection result through the detection matching matrix.
Through the embodiment, the technical problems that in the prior art, the air quality is judged only by acquiring parameters and identifying the air quality through the sensor in the detection process of the air quality, the air quality cannot be judged by combining the image acquisition data and the sensing data and combining linkage, and the accuracy of the air quality judgment is reduced are solved.
Example two
Fig. 2 is a block diagram of an air quality detection device based on optical camera pan-tilt control according to an embodiment of the present invention, and as shown in fig. 2, the device includes:
the acquiring module 20 is configured to acquire raw image data and raw sensing data.
And the splitting module 22 is configured to split the raw image data to obtain meteorological factor data.
And the summarizing module 24 is used for fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters.
And the input module 26 is configured to input the air quality parameter into a detection matching matrix to obtain an air quality detection result.
Optionally, the splitting module includes: an obtaining unit, configured to obtain an image feature parameter in the original image data, where the image feature parameter includes: RGB feature parameters, size feature parameters; the extraction unit is used for extracting pixel data which are larger than a preset weather threshold value in the RGB characteristic parameters; and the fusion unit is used for fusing the pixel data and the original image data to obtain the meteorological factor data.
Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
Optionally, the input module includes: an obtaining unit, configured to obtain the detection matching matrix, where the detection matching matrix includes:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and the matching unit is used for matching the air quality parameter into the air quality detection result through the detection matching matrix.
Through the embodiment, the technical problems that in the prior art, the air quality is judged only by acquiring parameters and identifying the air quality through the sensor in the detection process of the air quality, the air quality cannot be judged by combining the image acquisition data and the sensing data and combining linkage, and the accuracy of the air quality judgment is reduced are solved.
According to another aspect of the embodiment of the present invention, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute an air quality detection method based on optical camera pan-tilt control.
Specifically, the method comprises the following steps: optionally, the splitting the original image data to obtain weather factor data includes: obtaining image characteristic parameters in the original image data, wherein the image characteristic parameters comprise: RGB feature parameters, size feature parameters; extracting pixel data which are larger than a preset meteorological threshold value from the RGB characteristic parameters; and fusing the pixel data and the original image data to obtain the meteorological factor data. Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data. Optionally, inputting the air quality parameter into a detection matching matrix, and obtaining an air quality detection result includes: obtaining the detection matching matrix, wherein the detection matching matrix comprises:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and matching the air quality parameter into the air quality detection result through the detection matching matrix.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the storage is stored with computer readable instructions, and the processor is used for running the computer readable instructions, wherein the computer readable instructions execute an air quality detection method based on optical camera holder control when running.
Specifically, the method comprises the following steps: optionally, the splitting the original image data to obtain weather factor data includes: obtaining image characteristic parameters in the original image data, wherein the image characteristic parameters comprise: RGB feature parameters, size feature parameters; extracting pixel data which are larger than a preset meteorological threshold value from the RGB characteristic parameters; and fusing the pixel data and the original image data to obtain the meteorological factor data. Optionally, the raw sensing data includes: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data. Optionally, inputting the air quality parameter into a detection matching matrix, and obtaining an air quality detection result includes: obtaining the detection matching matrix, wherein the detection matching matrix comprises:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters; and matching the air quality parameter into the air quality detection result through the detection matching matrix.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable communication connections between the elements. The memory 33 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the processor 31 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 through wired or wireless connections.
Alternatively, the input device 30 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, etc. with a communication function. An audio input device such as a microphone may receive voice data. The output device 32 may include a display, audio, or the like.
In this embodiment, the processor of the terminal device may include functions for executing each module of the data processing apparatus in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to another embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown in fig. 4, the terminal device of the present embodiment includes a processor 41 and a memory 42.
The processor 41 executes the computer program code stored in the memory 42 to implement the methods of the above-described embodiments.
The memory 42 is configured to store various types of data to support operation at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The memory 42 may include a random access memory (random access memory, simply referred to as RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a processor 41 is provided in the processing assembly 40. The terminal device may further include: a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input/output interface 47 and/or a sensor component 48. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 40 may include one or more modules that facilitate interactions between the processing component 40 and other components. For example, processing component 40 may include a multimedia module to facilitate interaction between multimedia component 45 and processing component 40.
The power supply assembly 44 provides power to the various components of the terminal device. Power supply components 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 45 comprises a display screen between the terminal device and the user providing an output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The audio component 46 is configured to output and/or input audio signals. For example, the audio component 46 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a speech recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, audio assembly 46 further includes a speaker for outputting audio signals.
The input/output interface 47 provides an interface between the processing assembly 40 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 48 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 48 may detect the open/closed state of the terminal device, the relative positioning of the assembly, the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera or the like.
The communication component 43 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot, where the SIM card slot is used to insert a SIM card, so that the terminal device may log into a GPRS network, and establish communication with a server through the internet.
From the above, it will be appreciated that the communication component 43, the audio component 46, and the input/output interface 47, the sensor component 48 referred to in the embodiment of fig. 4 may be implemented as an input device in the embodiment of fig. 3.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (10)
1. An air quality detection method based on optical camera pan-tilt control is characterized by comprising the following steps:
acquiring original image data and original sensing data;
splitting the original image data to obtain meteorological factor data;
fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters;
and inputting the air quality parameters into a detection matching matrix to obtain an air quality detection result.
2. The method of claim 1, wherein splitting the raw image data to obtain meteorological factor data comprises:
obtaining image characteristic parameters in the original image data, wherein the image characteristic parameters comprise:
RGB feature parameters, size feature parameters;
extracting pixel data which are larger than a preset meteorological threshold value from the RGB characteristic parameters;
and fusing the pixel data and the original image data to obtain the meteorological factor data.
3. The method of claim 1, wherein the raw sensory data comprises: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
4. The method of claim 1, wherein inputting the air quality parameter into a detection matching matrix to obtain an air quality detection result comprises:
obtaining the detection matching matrix, wherein the detection matching matrix comprises:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters;
and matching the air quality parameter into the air quality detection result through the detection matching matrix.
5. Air quality detection device based on optical camera cloud platform control, characterized by comprising:
the acquisition module is used for acquiring the original image data and the original sensing data;
the splitting module is used for splitting the original image data to obtain meteorological factor data;
the summarizing module is used for fitting and summarizing the meteorological factor data and the original sensing data to obtain air quality parameters;
and the input module is used for inputting the air quality parameters into the detection matching matrix to obtain an air quality detection result.
6. The apparatus of claim 5, wherein the splitting module comprises:
an obtaining unit, configured to obtain an image feature parameter in the original image data, where the image feature parameter includes: RGB feature parameters, size feature parameters;
the extraction unit is used for extracting pixel data which are larger than a preset weather threshold value in the RGB characteristic parameters;
and the fusion unit is used for fusing the pixel data and the original image data to obtain the meteorological factor data.
7. The apparatus of claim 5, wherein the raw sensory data comprises: infrared transparency sensing data, dispersion distribution sensing data, temperature and humidity data, air pressure data, PM2.5 data and anion density data.
8. The apparatus of claim 5, wherein the input module comprises:
an obtaining unit, configured to obtain the detection matching matrix, where the detection matching matrix includes:
wherein K1-Kn represent n air quality parameters, Z1-Zn represent n air quality detection results corresponding to the air quality parameters;
and the matching unit is used for matching the air quality parameter into the air quality detection result through the detection matching matrix.
9. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the program, when run, controls a device in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for executing the processor, wherein the computer readable instructions when executed perform the method of any of claims 1 to 4.
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