CN114373263A - Diversified sharing detection system based on Internet - Google Patents
Diversified sharing detection system based on Internet Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 64
- 230000008673 vomiting Effects 0.000 claims abstract description 108
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- 238000012544 monitoring process Methods 0.000 claims abstract description 53
- 238000012545 processing Methods 0.000 claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims abstract description 33
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- 206010047700 Vomiting Diseases 0.000 claims description 26
- 230000005540 biological transmission Effects 0.000 claims description 16
- 238000004364 calculation method Methods 0.000 claims description 15
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- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000009423 ventilation Methods 0.000 claims description 9
- 239000000284 extract Substances 0.000 claims description 6
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- 238000007689 inspection Methods 0.000 claims 1
- 238000011161 development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 239000000203 mixture Substances 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/0042—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects
- G07F17/0057—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses a diversified shared detection system based on the Internet, which comprises a scanning judgment end, an automatic detection end and an execution processing end, wherein the scanning judgment end is electrically connected with the automatic detection end, the automatic detection end is electrically connected with the execution processing end, the scanning judgment end is used for monitoring the vomit condition of people in a scanned vehicle in real time in the starting process of the vehicle, the automatic detection end is used for automatically detecting vomit, the execution processing end is used for processing according to the result of detection and analysis, the scanning judgment end comprises a pressure sensing module, a monitoring scanning module, a face tracking module, a motion capture module and a judgment and analysis module, the pressure sensing module is electrically connected with the monitoring scanning module, the monitoring scanning module is electrically connected with the face tracking module, and the face tracking module, the motion capture module and the judgment and analysis module are electrically connected, the invention has the characteristics of strong practicability and energy saving.
Description
Technical Field
The invention relates to the technical field of diversified sharing detection, in particular to a diversified sharing detection system based on the Internet.
Background
The rapid development of the mobile internet, the resources of many traditional industries need to be optimized and integrated, the utilization rate of the resources needs to be improved, in order to solve the problem of the utilization rate of the resources, a new economic form, namely shared economy, is produced in the market, great convenience is brought to the life of people along with the development of automobile technology, however, the automobile industry also faces a great problem, and the internet shared automobile is produced in order to better develop the automobile industry.
Although the shared automobile meets the driving requirements of consumers and provides high-quality service experience, under the current fast-paced life mode, the shared automobile consumption group is gradually younger, because the car renting does not need to be carried out with insurance and annual maintenance, the poor-quality consumers can not naturally love the shared automobile like private cars, even more, when the passengers suffer from vomiting, the passengers can directly return to the automobile regardless of vomitus in the automobile, if the smell of the vomitus is in a closed environment for a long time and is not cleared in time, the foul smell can be absorbed by the seats in the automobile and can not be dissipated for a long time, and the use of the next consumer can be directly influenced.
Therefore, it is necessary to design a diversified and shared detection system based on the internet for timely detecting environmental conditions and adjusting processes.
Disclosure of Invention
The present invention is directed to a diversified shared detection system based on the internet, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: the diversified shared detection system based on the Internet comprises a scanning judgment end, an automatic detection end and an execution processing end, wherein the scanning judgment end is electrically connected with the automatic detection end, the automatic detection end is electrically connected with the execution processing end, the scanning judgment end is used for monitoring the vomit condition of people in a scanned vehicle in real time in the vehicle starting process, the automatic detection end is used for automatically detecting vomit, and the execution processing end is used for processing the result analyzed according to detection.
According to the technical scheme, the scanning judgment end comprises a pressure sensing module, a monitoring scanning module, a face tracking module, an action capturing module and a judgment analysis module, the pressure sensing module is electrically connected with the monitoring scanning module, the monitoring scanning module is electrically connected with the face tracking module, the action capturing module and the judgment analysis module are electrically connected, the pressure sensing module is used for starting monitoring of a corresponding seat when pressure on the seat is detected, the monitoring scanning module is used for scanning the seat condition of the detected pressure, the face tracking module is used for tracking the face of a fellow passenger on the seat, the face tracking module comprises a face identification submodule used for identifying the face state of the fellow passenger, the action capturing module is used for capturing the mouth sealing action of the fellow passenger, and the judgment and analysis module is used for judging and analyzing whether the fellow passengers have vomiting behaviors or not according to the recognized and captured actions.
According to the technical scheme, the automatic detection end comprises a monitoring imaging module, a proportion analysis module, an image analysis module and a degree analysis module, the monitoring imaging module is used for imaging the situation of vomit in the vehicle, the proportion analysis module is used for analyzing the proportion covered by the vomit in a picture, the proportion analysis module comprises a picture extraction submodule used for extracting the picture with the vomit in the monitoring, the image analysis module is used for analyzing the image of the vomit, the image analysis module comprises an image processing submodule and a color identification submodule, the image processing submodule is electrically connected with the color identification submodule, the image processing submodule is used for classifying pixel points in the vomit image according to color characteristics, and the color identification submodule is used for identifying the color of the vomit according to the color tone characteristics in the internet, and obtaining a color characteristic value, wherein the degree analysis module is used for analyzing the odor degree in the vehicle according to the vomit amount and the color.
According to the technical scheme, the execution processing end comprises an adjusting control module and an information transmission module, the adjusting control module is electrically connected with the information transmission module, the adjusting control module is used for adjusting and controlling an air exchange system of an air conditioner in the vehicle according to the odor degree in the vehicle, the information transmission module is used for transmitting the vomiting condition in the vehicle to nearby workers for cleaning, the information transmission module comprises a time calculation submodule, and the time calculation submodule is used for estimating the time required by the workers to arrive at the vehicle.
According to the technical scheme, the operation method of the internet-based diversified sharing detection system mainly comprises the following steps:
step S1: in the starting and driving process of the shared automobile, the scanning judgment end corresponding to each seat in the automobile starts the real-time scanning judgment of the seat, and when the vomit action of a fellow passenger is identified, the automatic detection end is in a standby state;
step S2: when a consumer stops the shared automobile to a designated parking place, the automobile door is closed, and after the mobile phone end finishes the shared automobile order, the diversified shared detection system detects the automobile;
step S3: after the order is finished, starting an automatic detection terminal, and detecting and analyzing the vomiting condition in the vehicle;
step S4: and executing a processing end to control the vehicle according to the detected vomiting condition in the vehicle.
According to the above technical solution, the step S1 further includes the following steps:
step S11: starting a vehicle, and starting a monitoring scanning module corresponding to a seat when a pressure sensing module of the seat in the vehicle detects the pressure on the seat to scan the seat condition in real time;
step S12: scanning the fellow passengers, and tracking the face states of the fellow passengers by a face tracking module;
step S13: meanwhile, the motion capture module captures the motion of the fellow passengers;
step S14: the facial recognition submodule recognizes the cheek state of the person in the same vehicle, when the radian of the cheek of the person in the same vehicle is larger than a certain threshold value, the mouth covering action of the person in the same vehicle is captured, and the judging and analyzing module analyzes that the person in the same vehicle vomits.
According to the above technical solution, the step S3 further includes the following steps:
step S31: after the shared vehicle finishes the order, automatically starting an automatic detection end in a standby state according to the scanned vomiting behavior in the driving process, and detecting the condition in the vehicle;
step S32: starting a monitoring imaging module at the top in the vehicle, and monitoring and imaging the position with vomiting behaviors judged by scanning;
step S33: the picture extraction submodule extracts a picture with vomit in monitoring, and the proportion analysis module analyzes the image proportion of the vomit in the picture to obtain the ratio R of the vomit image;
step S34: meanwhile, the image analysis module analyzes the color of vomitus in the monitoring image;
step S35: and analyzing and judging the odor degree in the vehicle by a degree analysis module according to the analyzed vomiting quantity and color.
According to the above technical solution, the step S34 further includes the following steps:
step S341: the image processing submodule extracts a vomit image from the monitoring image and detects and processes a pixel point color characteristic value of a vomit area in the image;
step S342: and the color identification submodule identifies the processed pixel point color characteristic value according to the tone in the Internet to obtain the color characteristic value N of the vomit.
According to the above technical solution, in the step S35, the calculation formula of the vehicle interior malodor degree W is as follows:
wherein, W is the rate of the foul smell degree in the vehicle, K is the conversion coefficient of the foul smell degree and the vomit condition, R is the proportion of the vomit in the monitoring picture, R is more than 0 and less than 1, N is the color characteristic value of the vomit, the vomit amount and the vomit color characteristic value are both in direct proportion to the foul smell degree, the larger the color characteristic value is, the more the color tone contained in the vomit is, the more the vomit amount is, and the higher the foul smell degree is.
According to the above technical solution, the step S4 further includes the following steps:
step S41: the adjusting control module controls and adjusts the power of the air exchange system in the vehicle according to the odor degree in the vehicle;
step S42: meanwhile, the information transmission module transmits the vehicle information to nearby working same-vehicle personnel, and the time calculation submodule estimates the time t when the working personnel arrive at the vehicle;
in step S41, the calculation formula of the ventilation system power is as follows:
in the formula, Q is the total power of the air exchange system required to be adjusted according to the odor degree, t is the time value required by nearby workers, i is a numerical value changed along with time, epsilon is a conversion coefficient of different odor degrees and the power value of the air exchange system required, the odor degree in the vehicle is changed along with the air exchange time, the longer the air exchange time is, the lighter the odor degree is, and the power of the air exchange system can be reduced accordingly.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through the arrangement of the scanning judgment end, the automatic detection end and the execution processing end, the scanning can be started and monitored for a seat with a person, the face and the action of the person in the same vehicle can be tracked, the person in the same vehicle can be analyzed and judged to have vomiting behaviors, the automatic detection end is in a standby state, after a consumer finishes an order, the condition in the vehicle can be automatically detected, the odor degree of odor in the vehicle can be judged according to the detected vomiting quantity and color, the worker nearby is informed to come to be cleaned, and meanwhile, the ventilation system in the vehicle is adjusted to perform ventilation, so that the odor is prevented from being in a closed space for a long time and being absorbed by a seat.
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 specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by persons skilled in the art without creative efforts based on the embodiments of the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the diversified shared detection system based on the Internet comprises a scanning judgment end, an automatic detection end and an execution processing end, wherein the scanning judgment end is electrically connected with the automatic detection end, the automatic detection end is electrically connected with the execution processing end, the scanning judgment end is used for monitoring and scanning the vomit condition of the passengers in the vehicle in real time in the starting process of the vehicle, the automatic detection end is used for automatically detecting the vomit, the execution processing end is used for processing the result analyzed according to the detection, the scanning and monitoring of the opening of the seats of the passengers can be realized, the faces and the actions of the passengers in the vehicle can be tracked, the existence of the vomit behavior can be analyzed and judged, the automatic detection end is in a standby state, when a customer finishes an order, the condition in the vehicle can be automatically detected, the odor degree of the odor in the vehicle can be judged according to the detected vomit amount and color, the ventilation system in the vehicle can be adjusted to perform ventilation when the nearby workers are informed to clean, prevent the odor from being absorbed by the seat in a closed space for a long time.
The scanning judgment end comprises a pressure sensing module, a monitoring scanning module, a face tracking module, an action capturing module and a judgment analysis module, the pressure sensing module is electrically connected with the monitoring scanning module, the monitoring scanning module is electrically connected with the face tracking module, the action capturing module and the judgment analysis module are electrically connected, the pressure sensing module is used for starting monitoring of a corresponding seat when the pressure on the seat is detected, the monitoring scanning module is used for scanning the seat condition of the detected pressure, the face tracking module is used for tracking the face of a fellow passenger on the seat, the face tracking module comprises a face identification submodule used for identifying the face state of the fellow passenger, the action capturing module is used for capturing the mouth covering action of the fellow passenger, the judgment analysis module is used for judging and analyzing whether the fellow passenger has vomiting behaviors or not according to the identified and captured action, in the driving process, when detecting that a person sitting on the seat vomits, the automatic detection end is in a standby state, and when the customer finishes an order, the automatic detection end is started again to detect the condition in the vehicle and keep the time for the customer to consciously clear vomitus.
The automatic detection end comprises a monitoring imaging module, a proportion analysis module, an image analysis module and a degree analysis module, wherein the monitoring imaging module is used for imaging the vomit condition in the vehicle, the proportion analysis module is used for analyzing the proportion covered by the vomit in a picture, the proportion analysis module comprises a picture extraction submodule which is used for extracting the picture of the vomit in the monitoring process, the image analysis module is used for analyzing the image of the vomit, the image analysis module comprises an image processing submodule and a color identification submodule, the image processing submodule is electrically connected with the color identification submodule, the image processing submodule is used for classifying pixel points in the vomit image according to color characteristics, the color identification submodule is used for identifying the color of the vomit according to color tone characteristics in the internet to obtain a color characteristic value, and the degree analysis module is used for identifying the vomit amount and the color according to the vomit amount, and (5) analyzing the odor degree in the vehicle.
The execution processing end comprises an adjusting control module and an information transmission module, the adjusting control module is electrically connected with the information transmission module, the adjusting control module is used for adjusting and controlling an air exchange system of an air conditioner in the vehicle according to the odor degree in the vehicle, the information transmission module is used for transmitting the vomiting condition in the vehicle to nearby workers for cleaning, the information transmission module comprises a time calculation submodule, the time calculation submodule is used for estimating the time required by the workers to reach the vehicle, the power of the air exchange system is adjusted according to different odor degrees, and the energy of the vehicle is convenient to save.
The operation method of the diversified sharing detection system based on the Internet mainly comprises the following steps:
step S1: in the starting and driving process of the shared automobile, the scanning judgment end corresponding to each seat in the automobile starts the real-time scanning judgment of the seat, and when the vomit action of a fellow passenger is identified, the automatic detection end is in a standby state;
step S2: when a consumer stops the shared automobile to a designated parking place, the automobile door is closed, and after the mobile phone end finishes the shared automobile order, the diversified shared detection system detects the automobile;
step S3: after the order is finished, starting an automatic detection terminal, and detecting and analyzing the vomiting condition in the vehicle;
step S4: and executing a processing end to control the vehicle according to the detected vomiting condition in the vehicle.
Step S1 further includes the steps of:
step S11: starting a vehicle, and starting a monitoring scanning module corresponding to a seat when a pressure sensing module of the seat in the vehicle detects the pressure on the seat to scan the seat condition in real time;
step S12: scanning the fellow passengers, and tracking the face states of the fellow passengers by a face tracking module;
step S13: meanwhile, the motion capture module captures the motion of the fellow passengers;
step S14: the facial recognition submodule recognizes the cheek state of the person in the same vehicle, when the radian of the cheek of the person in the same vehicle is larger than a certain threshold value, the mouth covering action of the person in the same vehicle is captured, and the judging and analyzing module analyzes that the person in the same vehicle vomits.
Step S3 further includes the steps of:
step S31: after the shared vehicle finishes the order, automatically starting an automatic detection end in a standby state according to the scanned vomiting behavior in the driving process, and detecting the condition in the vehicle;
step S32: starting a monitoring imaging module at the top in the vehicle, and monitoring and imaging the position with vomiting behaviors judged by scanning;
step S33: the picture extraction submodule extracts a picture with vomit in monitoring, and the proportion analysis module analyzes the image proportion of the vomit in the picture to obtain the ratio R of the vomit image;
step S34: meanwhile, the image analysis module analyzes the color of vomitus in the monitoring image;
step S35: and analyzing and judging the odor degree in the vehicle by a degree analysis module according to the analyzed vomiting quantity and color.
Step S34 further includes the steps of:
step S341: the image processing submodule extracts a vomit image from the monitoring image and detects and processes a pixel point color characteristic value of a vomit area in the image;
step S342: and the color identification submodule identifies the processed pixel point color characteristic value according to the tone in the Internet to obtain the color characteristic value N of the vomit.
In step S35, the calculation formula of the vehicle interior malodor degree W is as follows:
wherein, W is the rate of the foul smell degree in the vehicle, K is the conversion coefficient of the foul smell degree and the vomit condition, R is the proportion of the vomit in the monitoring picture, R is more than 0 and less than 1, N is the color characteristic value of the vomit, the vomit amount and the vomit color characteristic value are both in direct proportion to the foul smell degree, the larger the color characteristic value is, the more the color tone contained in the vomit is, the more the vomit amount is, and the higher the foul smell degree is.
Step S4 further includes the steps of:
step S41: the adjusting control module controls and adjusts the power of the air exchange system in the vehicle according to the odor degree in the vehicle;
step S42: meanwhile, the information transmission module transmits the vehicle information to nearby working same-vehicle personnel, and the time calculation submodule estimates the time t when the working personnel arrive at the vehicle;
in step S41, the calculation formula of the ventilation system power is as follows:
in the formula, Q is the total power of the air exchange system required to be adjusted according to the odor degree, t is the time value required by nearby workers, i is a numerical value changed along with time, epsilon is a conversion coefficient of different odor degrees and the power value of the air exchange system required, the odor degree in the vehicle is changed along with the air exchange time, the longer the air exchange time is, the lighter the odor degree is, the smaller the power of the air exchange system can be, and therefore the total power consumed in the air exchange process is obtained.
Example 1: the shared automobile is started, a user in the left rear seat is scanned and identified, vomiting action is detected, the automatic detection end is in a standby state, after a consumer finishes an order, the vomitus in the automobile is monitored and scanned, the proportion of the vomitus image in the picture is R & lt 12%, the color characteristic value in the image is N & lt 3 & gt, the conversion coefficient K & lt 2 & gt, the odor degree in the automobile is determined according to a formula
The obtained W is 0.24, the time for the operator to reach the vehicle position is estimated to be t is 10min, and the formula is shown according to
The power Q consumed by the ventilation system is 70w when epsilon is 100.
Example 2: the shared automobile is started, people in the right rear seat are scanned and identified, vomiting action is detected, the automatic detection end is in a standby state, after a consumer finishes an order, vomitus in the automobile is monitored and scanned, the proportion of vomitus images in a picture is R & lt 8%, the color characteristic value in the images is N & lt 5 & gt, the conversion coefficient K & lt 2 & gt, the odor degree in the automobile is determined according to a formula
The obtained W is 0.44, the time for the operator to reach the vehicle position is estimated to be t is 6min, and the formula is shown according to
E.g. 100 can be exchangedThe power Q consumed by the wind system is 107.8 w.
Example 3: the shared automobile is started, a passenger is scanned and identified, the passenger is detected to vomit, the automatic detection end is in a standby state, after a customer finishes an order, the vomit in the automobile is monitored and scanned, the proportion of the vomit image in the image is R18%, the color characteristic value in the image is N4, the conversion coefficient K is 2, and the odor degree in the automobile is determined according to a formula
The obtained W is 0.55, the time for the operator to reach the vehicle position is estimated to be t is 5min, and the formula is shown according to
The power Q consumed by the ventilation system is 125.6w when epsilon is 100.
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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will recognize that changes may be made in the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. Diversified shared detection system based on internet, including scanning judgement end, automated inspection end and execution processing end, its characterized in that: the vehicle-mounted intelligent vomit detector is characterized in that the scanning judgment end is electrically connected with the automatic detection end, the automatic detection end is electrically connected with the execution processing end, the scanning judgment end is used for monitoring the vomit condition of a person in a scanned vehicle in real time in the vehicle starting process, the automatic detection end is used for automatically detecting vomit, and the execution processing end is used for processing a result analyzed according to detection.
2. The internet-based diverse sharing detection system of claim 1, wherein: the scanning judgment end comprises a pressure sensing module, a monitoring scanning module, a face tracking module, an action capturing module and a judgment analysis module, the pressure sensing module is electrically connected with the monitoring scanning module, the monitoring scanning module is electrically connected with the face tracking module, the action capturing module and the judgment analysis module are electrically connected, the pressure sensing module is used for starting monitoring of a corresponding seat when detecting pressure on the seat, the monitoring scanning module is used for scanning the seat condition of the detected pressure, the face tracking module is used for tracking the face of a fellow passenger on the seat, the face tracking module comprises a face identification submodule, the face identification submodule is used for identifying the face state of the fellow passenger, the action capturing module is used for capturing the mouth covering action of the fellow passenger, and the judgment analysis module is used for capturing the action according to the identification, judging and analyzing whether the fellow passengers have vomiting behaviors or not.
3. The internet-based diverse sharing detection system of claim 2, wherein: the automatic detection end comprises a monitoring imaging module, a proportion analysis module, an image analysis module and a degree analysis module, the monitoring imaging module is used for imaging the vomit condition in the vehicle, the proportion analysis module is used for analyzing the proportion covered by the vomit in a picture, the proportion analysis module comprises a picture extraction submodule used for extracting the picture of the vomit in the monitoring, the image analysis module is used for analyzing the image of the vomit, the image analysis module comprises an image processing submodule and a color identification submodule, the image processing submodule is electrically connected with the color identification submodule, the image processing submodule is used for classifying pixel points in the vomit image according to color features, and the color identification submodule is used for identifying the color of the vomit according to the color tone features in the internet, and obtaining a color characteristic value, wherein the degree analysis module is used for analyzing the odor degree in the vehicle according to the vomit amount and the color.
4. The internet-based diverse sharing detection system of claim 3, wherein: the air conditioner comprises an execution processing end and an information transmission module, wherein the execution processing end comprises an adjusting control module and the information transmission module, the adjusting control module is electrically connected with the information transmission module, the adjusting control module is used for adjusting and controlling an air exchange system of an air conditioner in the vehicle according to the odor degree in the vehicle, the information transmission module is used for transmitting the vomiting condition in the vehicle to nearby workers for cleaning, the information transmission module comprises a time calculation submodule, and the time calculation submodule is used for estimating the time required by the workers to arrive at the vehicle.
5. The internet-based diverse sharing detection system of claim 4, wherein: the operation method of the internet-based diversified sharing detection system mainly comprises the following steps:
step S1: in the starting and driving process of the shared automobile, the scanning judgment end corresponding to each seat in the automobile starts the real-time scanning judgment of the seat, and when the vomit action of a fellow passenger is identified, the automatic detection end is in a standby state;
step S2: when a consumer stops the shared automobile to a designated parking place, the automobile door is closed, and after the mobile phone end finishes the shared automobile order, the diversified shared detection system detects the automobile;
step S3: after the order is finished, starting an automatic detection terminal, and detecting and analyzing the vomiting condition in the vehicle;
step S4: and executing a processing end to control the vehicle according to the detected vomiting condition in the vehicle.
6. The internet-based diverse sharing detection system of claim 5, wherein: the step S1 further includes the steps of:
step S11: starting a vehicle, and starting a monitoring scanning module corresponding to a seat when a pressure sensing module of the seat in the vehicle detects the pressure on the seat to scan the seat condition in real time;
step S12: scanning the fellow passengers, and tracking the face states of the fellow passengers by a face tracking module;
step S13: meanwhile, the motion capture module captures the motion of the fellow passengers;
step S14: the facial recognition submodule recognizes the cheek state of the person in the same vehicle, when the radian of the cheek of the person in the same vehicle is larger than a certain threshold value, the mouth covering action of the person in the same vehicle is captured, and the judging and analyzing module analyzes that the person in the same vehicle vomits.
7. The internet-based diverse sharing detection system of claim 6, wherein: the step S3 further includes the steps of:
step S31: after the shared vehicle finishes the order, automatically starting an automatic detection end in a standby state according to the scanned vomiting behavior in the driving process, and detecting the condition in the vehicle;
step S32: starting a monitoring imaging module at the top in the vehicle, and monitoring and imaging the position with vomiting behaviors judged by scanning;
step S33: the picture extraction submodule extracts a picture with vomit in monitoring, and the proportion analysis module analyzes the image proportion of the vomit in the picture to obtain the ratio R of the vomit image;
step S34: meanwhile, the image analysis module analyzes the color of vomitus in the monitoring image;
step S35: and analyzing and judging the odor degree in the vehicle by a degree analysis module according to the analyzed vomiting quantity and color.
8. The internet-based diverse sharing detection system of claim 7, wherein: the step S34 further includes the steps of:
step S341: the image processing submodule extracts a vomit image from the monitoring image and detects and processes a pixel point color characteristic value of a vomit area in the image;
step S342: and the color identification submodule identifies the processed pixel point color characteristic value according to the tone in the Internet to obtain the color characteristic value N of the vomit.
9. The internet-based diverse sharing detection system of claim 8, wherein: in step S35, the calculation formula of the vehicle interior malodor degree W is as follows:
wherein, W is the rate of the foul smell degree in the vehicle, K is the conversion coefficient of the foul smell degree and the vomit condition, R is the proportion of the vomit in the monitoring picture, R is more than 0 and less than 1, N is the color characteristic value of the vomit, the vomit amount and the vomit color characteristic value are both in direct proportion to the foul smell degree, the larger the color characteristic value is, the more the color tone contained in the vomit is, the more the vomit amount is, and the higher the foul smell degree is.
10. The internet-based diverse sharing detection system of claim 9, wherein: the step S4 further includes the steps of:
step S41: the adjusting control module controls and adjusts the power of the air exchange system in the vehicle according to the odor degree in the vehicle;
step S42: meanwhile, the information transmission module transmits the vehicle information to nearby working same-vehicle personnel, and the time calculation submodule estimates the time t when the working personnel arrive at the vehicle;
in step S41, the calculation formula of the ventilation system power is as follows:
in the formula, Q is the total power of the air exchange system required to be adjusted according to the odor degree, t is the time value required by nearby workers, i is a numerical value changed along with time, epsilon is a conversion coefficient of different odor degrees and the power value of the air exchange system required, the odor degree in the vehicle is changed along with the air exchange time, the longer the air exchange time is, the lighter the odor degree is, and the power of the air exchange system can be reduced accordingly.
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