CN113051988A - State identification system based on multi-parameter detection - Google Patents
State identification system based on multi-parameter detection Download PDFInfo
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- CN113051988A CN113051988A CN202011168024.XA CN202011168024A CN113051988A CN 113051988 A CN113051988 A CN 113051988A CN 202011168024 A CN202011168024 A CN 202011168024A CN 113051988 A CN113051988 A CN 113051988A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H3/00—Other air-treating devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H3/00—Other air-treating devices
- B60H3/06—Filtering
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Abstract
The invention relates to a state identification system based on multi-parameter detection, which comprises: the scene identification device is respectively connected with the multifunctional processing mechanism, the first detection device and the second detection device and is used for sending a first control command when receiving the second detection command, the third detection command and a human body target with an over-limit area in the customized processing image; and the purifier mechanism is arranged in the vehicle, is connected with the scene identification device, and is used for executing carbon monoxide purification operation on the interior of the vehicle when receiving the first control instruction, and determines the intensity of executing the carbon monoxide purification operation based on the average value of the current ascending amplitudes of the four window lifters. The state identification system based on multi-parameter detection is intelligent in design, safe and reliable. The current safety state of the vehicle can be judged based on the detection result of each parameter in the vehicle, and corresponding emergency measures are taken, so that the intelligent level of vehicle management is improved.
Description
Technical Field
The invention relates to the field of purifier control, in particular to a state identification system based on multi-parameter detection.
Background
As one of the main types of purifiers, an air purifier is also called an "air cleaner", an air freshener, and a purifier, which are products capable of adsorbing, decomposing, or converting various air pollutants (generally, PM2.5, dust, pollen, odor, decoration pollution such as formaldehyde, bacteria, allergen, and the like), effectively improving air cleanliness, and are mainly classified into household, commercial, industrial, and building. There are a number of different technologies and media in air purifiers that enable them to provide clean and safe air to users. Common air purification techniques are: adsorption technology, negative (positive) ion technology, catalytic technology, photocatalyst technology, superstructure mineralization by light technology, HEPA high efficiency filtration technology, electrostatic precipitation technology, etc.; the material technology mainly comprises the following steps: photocatalyst, active carbon, synthetic fiber, HEPA high-efficiency material, negative ion generator and the like. The existing air purifier is mostly of a composite type, namely, a plurality of purification technologies and material media are adopted at the same time.
In the prior art, the safety management level of the vehicle still stays at a rough level, for example, the start time and the execution strength of the air purification treatment performed on the interior of the vehicle cannot be cooperatively judged according to the lifting conditions of four window lifters in the vehicle, the idling condition of an engine and the specific condition of whether a human body exists at each corner in the vehicle, so that the overall intelligent level of the vehicle cannot be effectively improved.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a state identification system based on multi-parameter detection, which can judge the current safety state of a vehicle and carry out corresponding emergency measures based on the detection result of each parameter in the vehicle, thereby improving the intelligent level of vehicle management.
Therefore, the present invention needs to have at least two important points:
(1) when the vehicle is identified to be in an idle state, the four window lifters are all raised to the maximum amplitude, and personnel exist in the vehicle, carbon monoxide purification operation is performed on the interior of the vehicle;
(2) the intensity of performing the carbon monoxide purification operation is decided based on the average value of the current rising amplitudes of the four window lifters of the vehicle, and the smaller the average value of the current rising amplitudes of the four window lifters is, the lower the intensity of performing the carbon monoxide purification operation is decided.
According to an aspect of the present invention, there is provided a state recognition system based on multi-parameter detection, the system comprising:
the first detection device is arranged in the vehicle, is respectively connected with four window lifters of four windows of the vehicle, and is used for detecting whether each window lifter currently rises to the maximum amplitude.
More specifically, in the multi-parameter detection-based state recognition system:
the first detection device sends out a first detection instruction when one window lifter does not rise to the maximum amplitude currently.
More specifically, in the multi-parameter detection-based state recognition system:
the first detection device is also used for sending out a second detection instruction when all four window lifters are lifted to the maximum amplitude.
More specifically, in the multi-parameter detection-based state recognition system, the system further includes:
the second detection device is arranged in the vehicle, is connected with an engine of the vehicle, and is used for detecting whether the engine of the vehicle is in an idle state at present, and sending a third detection instruction when detecting that the engine of the vehicle is in the idle state, otherwise, sending a fourth detection instruction;
the composite monitoring mechanism comprises cameras arranged above different seats of the vehicle and is used for respectively obtaining field images of the environments where the different seats are located and splicing the image contents of the field images of the environments where the different seats are located so as to obtain an in-vehicle overview image;
the multifunctional processing mechanism comprises a type identification unit, an amplitude identification unit, a filtering selection unit, an algorithm storage unit and a filtering execution unit, wherein the type identification unit is connected with the composite monitoring mechanism and used for identifying the types of various noises in the in-vehicle overview image, the amplitude identification unit is respectively connected with the type identification unit and the composite monitoring mechanism and used for identifying the maximum amplitude of each kind of noise, the algorithm storage unit is used for storing each filtering algorithm corresponding to various filters in advance, the filtering selection unit is respectively connected with the type identification unit, the amplitude identification unit and the algorithm storage unit and used for selecting more than one filtering algorithm for executing filtering processing on the in-vehicle overview image based on the type and the maximum amplitude of each kind of noise, and the filtering execution unit is connected with the filtering selection unit, a filter processing unit configured to perform a filter process on the in-vehicle overview image based on the selected one or more filter algorithms to obtain a customized processed image;
the scene identification device is respectively connected with the multifunctional processing mechanism, the first detection device and the second detection device, and is used for sending a first control command when receiving the second detection command, the third detection command and the human body target with the area exceeding the limit in the customized processing image, or sending a second control command;
the purifier mechanism is arranged in the vehicle, is connected with the scene identification device, and is used for executing carbon monoxide purification operation on the interior of the vehicle when receiving the first control instruction, and determines the intensity of executing the carbon monoxide purification operation based on the average value of the current ascending amplitudes of the four window lifters;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: the maximum amplitude values of the same noise type are different, and the selected filtering algorithms are different;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: selecting different filtering algorithms corresponding to different types of noise;
wherein the intensity of performing the carbon monoxide cleaning operation is decided based on an average of the current rising amplitudes of the four window lifters: the smaller the average value of the current rising amplitudes of the four window lifters is, the lower the intensity of the carbon monoxide purification operation is decided to be performed;
wherein the purifier mechanism is further configured to stop performing the carbon monoxide purification operation in the vehicle upon receiving the second control instruction.
The state identification system based on multi-parameter detection is intelligent in design, safe and reliable. The current safety state of the vehicle can be judged based on the detection result of each parameter in the vehicle, and corresponding emergency measures are taken, so that the intelligent level of vehicle management is improved.
Detailed Description
The following describes an embodiment of the multi-parameter detection-based state recognition system of the present invention in detail.
The vehicle monitoring system can know information such as the position, the speed, the running state and the like of the vehicle in real time; the system can realize the nearby dispatching, the distress alarm and the distress alarm; the historical driving state of the vehicle can be known; the data analysis statistics can be carried out on the working condition of the vehicle, and a statistical report is formed. The construction of the vehicle monitoring and dispatching system ensures that the management of the vehicle is more scientific and reasonable, and reduces a lot of unnecessary expenses while improving the management level.
For example, a GPS vehicle monitoring system is an integrated system established to enhance the visible operational management of a vehicle. The vehicle monitoring and dispatching system is constructed by adopting a GPS global satellite positioning technology, a GIS geographic information technology, a mobile communication technology, a computer processing technology and the like, and helps a user unit to realize vehicle monitoring and dispatching management through a management center and a vehicle-mounted terminal.
In the prior art, the safety management level of the vehicle still stays at a rough level, for example, the start time and the execution strength of the air purification treatment performed on the interior of the vehicle cannot be cooperatively judged according to the lifting conditions of four window lifters in the vehicle, the idling condition of an engine and the specific condition of whether a human body exists at each corner in the vehicle, so that the overall intelligent level of the vehicle cannot be effectively improved.
In order to overcome the defects, the invention builds a state identification system based on multi-parameter detection, and can effectively solve the corresponding technical problem.
The state identification system based on multi-parameter detection according to the embodiment of the invention comprises:
the first detection device is arranged in the vehicle, is respectively connected with four window lifters of four windows of the vehicle, and is used for detecting whether each window lifter currently rises to the maximum amplitude.
Next, the detailed structure of the multi-parameter detection-based state recognition system of the present invention will be further described.
In the state identification system based on multi-parameter detection:
the first detection device sends out a first detection instruction when one window lifter does not rise to the maximum amplitude currently.
In the state identification system based on multi-parameter detection:
the first detection device is also used for sending out a second detection instruction when all four window lifters are lifted to the maximum amplitude.
The state identification system based on multi-parameter detection can further comprise:
the second detection device is arranged in the vehicle, is connected with an engine of the vehicle, and is used for detecting whether the engine of the vehicle is in an idle state at present, and sending a third detection instruction when detecting that the engine of the vehicle is in the idle state, otherwise, sending a fourth detection instruction;
the composite monitoring mechanism comprises cameras arranged above different seats of the vehicle and is used for respectively obtaining field images of the environments where the different seats are located and splicing the image contents of the field images of the environments where the different seats are located so as to obtain an in-vehicle overview image;
the multifunctional processing mechanism comprises a type identification unit, an amplitude identification unit, a filtering selection unit, an algorithm storage unit and a filtering execution unit, wherein the type identification unit is connected with the composite monitoring mechanism and used for identifying the types of various noises in the in-vehicle overview image, the amplitude identification unit is respectively connected with the type identification unit and the composite monitoring mechanism and used for identifying the maximum amplitude of each kind of noise, the algorithm storage unit is used for storing each filtering algorithm corresponding to various filters in advance, the filtering selection unit is respectively connected with the type identification unit, the amplitude identification unit and the algorithm storage unit and used for selecting more than one filtering algorithm for executing filtering processing on the in-vehicle overview image based on the type and the maximum amplitude of each kind of noise, and the filtering execution unit is connected with the filtering selection unit, a filter processing unit configured to perform a filter process on the in-vehicle overview image based on the selected one or more filter algorithms to obtain a customized processed image;
the scene identification device is respectively connected with the multifunctional processing mechanism, the first detection device and the second detection device, and is used for sending a first control command when receiving the second detection command, the third detection command and the human body target with the area exceeding the limit in the customized processing image, or sending a second control command;
the purifier mechanism is arranged in the vehicle, is connected with the scene identification device, and is used for executing carbon monoxide purification operation on the interior of the vehicle when receiving the first control instruction, and determines the intensity of executing the carbon monoxide purification operation based on the average value of the current ascending amplitudes of the four window lifters;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: the maximum amplitude values of the same noise type are different, and the selected filtering algorithms are different;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: selecting different filtering algorithms corresponding to different types of noise;
wherein the intensity of performing the carbon monoxide cleaning operation is decided based on an average of the current rising amplitudes of the four window lifters: the smaller the average value of the current rising amplitudes of the four window lifters is, the lower the intensity of the carbon monoxide purification operation is decided to be performed;
wherein the purifier mechanism is further configured to stop performing the carbon monoxide purification operation in the vehicle upon receiving the second control instruction.
In the state identification system based on multi-parameter detection:
the maximum amplitude of the same noise type is different, and the different selected filtering algorithms comprise: and corresponding to salt and pepper noise, sequentially selecting a filtering algorithm corresponding to a non-median filtering nonlinear filter, a filtering algorithm corresponding to a non-weighted median filter and a filtering algorithm corresponding to a weighted median filter based on the difference of the maximum amplitude values from small to large.
In the state identification system based on multi-parameter detection:
selecting different filtering algorithms for different types of noise includes: selecting a filtering algorithm corresponding to a trap filter corresponding to moire waves, and selecting a filtering algorithm corresponding to an adaptive recursive filter or a band-pass filter corresponding to white noise;
wherein, corresponding to different types of noise, selecting different filtering algorithms further comprises: and selecting a filtering algorithm corresponding to a non-median filtering nonlinear filter, a filtering algorithm corresponding to a non-weighted median filter or a filtering algorithm corresponding to a weighted median filter corresponding to salt and pepper noise.
In the state identification system based on multi-parameter detection:
and an overview acquisition mechanism is arranged in the composite monitoring mechanism, is respectively connected with the cameras and is used for splicing the image contents of the field images of the environments where the different seats are located so as to obtain an in-vehicle overview image.
In the state identification system based on multi-parameter detection:
the image content splicing is carried out on the site images of the environments where the different seats are located, so as to obtain the in-car overview image, and the method comprises the following steps: and performing image content de-duplication processing on the live images of the environments where the different seats are located, and performing image content splicing on the live images of the environments where the different seats are located after de-duplication processing.
In addition, in the multi-parameter detection-based state recognition system, the first detection device and the second detection device may be implemented by using a generic array logic device GAL. Generic array logic devices GAL devices were the first electrically erasable, programmable, settable encryption bit PLDs invented by LATTICE. Representative GAL chips are GAL16V8, GAL20, which are capable of emulating almost all types of PAL devices. In practical application, GAL device has 100% compatibility to PAL device emulation, so GAL can almost completely replace PAL device, and can replace most SSI, MSI digital integrated circuit, thus obtaining wide application. The biggest difference between GAL and PAL is that the output structure of the GAL is user-definable and is a programmable output structure. Two basic models of GAL, GAL16V8(20 pins) GAL20V8(24 pins), replace ten PAL devices, and are therefore called pain programmable circuits. The output of the PAL is well defined by the manufacturer, the chip is fixed after being selected, and the user can not change the chip.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A system for recognizing states based on multi-parameter detection, comprising:
the first detection device is arranged in the vehicle, is respectively connected with four window lifters of four windows of the vehicle, and is used for detecting whether each window lifter currently rises to the maximum amplitude.
2. A state recognition system based on multi-parameter detection as claimed in claim 1, wherein:
the first detection device sends out a first detection instruction when one window lifter does not rise to the maximum amplitude currently.
3. A state recognition system based on multi-parameter detection as claimed in claim 2, characterized in that:
the first detection device is also used for sending out a second detection instruction when all four window lifters are lifted to the maximum amplitude.
4. A state recognition system based on multi-parameter detection according to claim 3, wherein the system further comprises:
the second detection device is arranged in the vehicle, is connected with an engine of the vehicle, and is used for detecting whether the engine of the vehicle is in an idle state at present, and sending a third detection instruction when detecting that the engine of the vehicle is in the idle state, otherwise, sending a fourth detection instruction;
the composite monitoring mechanism comprises cameras arranged above different seats of the vehicle and is used for respectively obtaining field images of the environments where the different seats are located and splicing the image contents of the field images of the environments where the different seats are located so as to obtain an in-vehicle overview image;
the multifunctional processing mechanism comprises a type identification unit, an amplitude identification unit, a filtering selection unit, an algorithm storage unit and a filtering execution unit, wherein the type identification unit is connected with the composite monitoring mechanism and used for identifying the types of various noises in the in-vehicle overview image, the amplitude identification unit is respectively connected with the type identification unit and the composite monitoring mechanism and used for identifying the maximum amplitude of each kind of noise, the algorithm storage unit is used for storing each filtering algorithm corresponding to various filters in advance, the filtering selection unit is respectively connected with the type identification unit, the amplitude identification unit and the algorithm storage unit and used for selecting more than one filtering algorithm for executing filtering processing on the in-vehicle overview image based on the type and the maximum amplitude of each kind of noise, and the filtering execution unit is connected with the filtering selection unit, a filter processing unit configured to perform a filter process on the in-vehicle overview image based on the selected one or more filter algorithms to obtain a customized processed image;
the scene identification device is respectively connected with the multifunctional processing mechanism, the first detection device and the second detection device, and is used for sending a first control command when receiving the second detection command, the third detection command and the human body target with the area exceeding the limit in the customized processing image, or sending a second control command;
the purifier mechanism is arranged in the vehicle, is connected with the scene identification device, and is used for executing carbon monoxide purification operation on the interior of the vehicle when receiving the first control instruction, and determines the intensity of executing the carbon monoxide purification operation based on the average value of the current ascending amplitudes of the four window lifters;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: the maximum amplitude values of the same noise type are different, and the selected filtering algorithms are different;
wherein selecting one or more filtering algorithms to perform filtering processing on the in-vehicle overview image based on the type and maximum amplitude of each type of noise comprises: selecting different filtering algorithms corresponding to different types of noise;
wherein the intensity of performing the carbon monoxide cleaning operation is decided based on an average of the current rising amplitudes of the four window lifters: the smaller the average value of the current rising amplitudes of the four window lifters is, the lower the intensity of the carbon monoxide purification operation is decided to be performed;
wherein the purifier mechanism is further configured to stop performing the carbon monoxide purification operation in the vehicle upon receiving the second control instruction.
5. A state recognition system based on multi-parameter detection as claimed in claim 4, wherein:
the maximum amplitude of the same noise type is different, and the different selected filtering algorithms comprise: and corresponding to salt and pepper noise, sequentially selecting a filtering algorithm corresponding to a non-median filtering nonlinear filter, a filtering algorithm corresponding to a non-weighted median filter and a filtering algorithm corresponding to a weighted median filter based on the difference of the maximum amplitude values from small to large.
6. A state recognition system based on multi-parameter detection as claimed in claim 5, wherein:
selecting different filtering algorithms for different types of noise includes: selecting a filtering algorithm corresponding to a trap filter corresponding to moire waves, and selecting a filtering algorithm corresponding to an adaptive recursive filter or a band-pass filter corresponding to white noise;
wherein, corresponding to different types of noise, selecting different filtering algorithms further comprises: and selecting a filtering algorithm corresponding to a non-median filtering nonlinear filter, a filtering algorithm corresponding to a non-weighted median filter or a filtering algorithm corresponding to a weighted median filter corresponding to salt and pepper noise.
7. A state recognition system based on multi-parameter detection as claimed in claim 6, wherein:
and an overview acquisition mechanism is arranged in the composite monitoring mechanism, is respectively connected with the cameras and is used for splicing the image contents of the field images of the environments where the different seats are located so as to obtain an in-vehicle overview image.
8. A state recognition system based on multi-parameter detection as claimed in claim 7, wherein:
the image content splicing is carried out on the site images of the environments where the different seats are located, so as to obtain the in-car overview image, and the method comprises the following steps: and performing image content de-duplication processing on the live images of the environments where the different seats are located, and performing image content splicing on the live images of the environments where the different seats are located after de-duplication processing.
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| CN202011168024.XA CN113051988A (en) | 2020-10-28 | 2020-10-28 | State identification system based on multi-parameter detection |
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Application publication date: 20210629 |