A car water-saving control cleaning system, method and storage medium

Abstract

The present invention discloses a car water-saving control cleaning system, method and storage medium. The car water-saving control cleaning system includes a vehicle appearance information acquisition module, a vehicle image information collection and analysis module, a vehicle status warning terminal, a body stain image monitoring module, a body stain image analysis module, a vehicle cleaning execution terminal and a database; the present invention effectively solves the problem that the current car water-saving control cleaning still has certain limitations, reduces water consumption, is conducive to the sustainable use of water resources, reduces the cost of car washing and operating expenses to a certain extent, and also avoids the occurrence of uneven vehicle cleaning through zoning cleaning, ensures the safety of the target cleaning vehicle inside the full-automatic cleaning machine, reduces safety hazards, improves the service life and use safety of the vehicle, is conducive to ensuring the quantitative use of chemical reagents, and reduces the workload of subsequent pipeline sewage treatment.

Description

Technical Field

[0001] The invention belongs to the technical field of water-saving control cleaning of cars, and relates to a water-saving control cleaning system, method and storage medium for cars. Background Art

[0002] Water conservation control in car washing is very important.

[0003] At present, the cleaning of cars is mainly reflected in the water saving of cars. There is no cleaning of cars by stain area, which has certain limitations. At present, there are still the following deficiencies in the water-saving control cleaning of cars:

[0004] 1. Failure to perform zoned cleaning according to the stains in each cleaning area of ​​the car increases water consumption, is not conducive to the sustainable use of water resources, increases car washing costs and operating expenses to a certain extent, fails to ensure the quantitative use of chemical cleaning agents, lacks accuracy in use, increases the workload of subsequent sewage treatment in the pipeline, and causes severe pollution to the water environment management and urban environment of large cities;

[0005] 2. Currently, there is no monitoring of the parking position and angle of cars in the fully automatic cleaning machine, which may easily cause uneven cleaning of the car and increase the possibility of scratches inside the fully automatic cleaning machine, posing certain safety hazards;

[0006] 3. Currently, there is no secondary check on the status of the car's doors and windows before cleaning, which leads to certain safety hazards during the cleaning process and also has a certain impact on the car, causing problems such as short circuits and component damage, reducing the service life and safety of the vehicle. Summary of the invention

[0007] In view of the above-mentioned defects in the prior art, the present invention provides a car water-saving control cleaning system, method and storage medium, and the specific technical scheme is as follows:

[0008] A first aspect of the present invention provides a car water-saving control washing system, the system comprising a vehicle appearance information acquisition module, a vehicle image information acquisition and analysis module, a vehicle status warning terminal, a vehicle body stain image monitoring module, a vehicle body stain image analysis module, a vehicle washing execution terminal and a database;

[0009] The vehicle appearance information acquisition module is used to acquire the appearance information corresponding to the target cleaning vehicle, thereby constructing a three-dimensional appearance model corresponding to the target cleaning vehicle, and sending the three-dimensional appearance model corresponding to the target cleaning vehicle to the vehicle body stain image analysis module;

[0010] The vehicle image information acquisition and analysis module is used to acquire images of the external image, internal image and parking position of the target vehicle being cleaned in the current fully automatic car washing machine through the deployed high-definition camera, and then analyze and obtain the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned, and compare the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned with the vehicle standard cleaning preparation assessment coefficient. If the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned is greater than or equal to the vehicle standard cleaning preparation assessment coefficient, the vehicle body stain image monitoring module is activated, otherwise the vehicle status warning terminal is activated;

[0011] The vehicle status warning terminal activates the vehicle warning state when the cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is less than or equal to the vehicle standard cleaning preparation assessment coefficient;

[0012] The vehicle body stain image monitoring module is used to divide the vehicle structural features into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and detect the dust thickness in each cleaning area through the dust thickness measuring instrument, and send the collected stain images and dust thickness corresponding to each cleaning area of ​​the target cleaning vehicle to the vehicle body stain image analysis module;

[0013] The vehicle body stain image analysis module is used to extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target cleaning vehicle, and obtain the stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area;

[0014] The vehicle washing execution terminal is used to start the fully automatic car washing machine to perform graded washing according to the washing levels corresponding to the washing areas of the target vehicle.

[0015] According to a preferred implementation manner of the first aspect of the present invention, the external image corresponding to the target cleaning vehicle includes a window image, a door image, a sunroof image and a trunk image, and the internal image is a dashboard image.

[0016] According to a preferred implementation of the first aspect of the present invention, the specific analysis process of the cleaning preparation assessment coefficient corresponding to the target cleaning vehicle includes the following steps:

[0017] A1. Identify the contours of each window from the external image of the target vehicle to be cleaned, and compare the contours of each window with the contours of the window corresponding to each set closure degree, thereby obtaining the closure degree corresponding to each window, and record it as α i , where i represents the number corresponding to each window, i=1,2,...m;

[0018] A2. Identify the contours of each door from the external image of the target vehicle to be cleaned, and compare the contours of each door with the contours of the door corresponding to each set sealing degree, thereby obtaining the sealing degree corresponding to each door, and record it as β j , where j represents the number corresponding to each door, j=1,2,...n;

[0019] A3. Identify the contour of the skylight from the external image of the target vehicle to be cleaned, and compare the contour of the skylight with the contours of the skylight corresponding to each set closure degree, thereby obtaining the closure degree corresponding to the skylight, and record it as χ;

[0020] A4. Identify the outline of the trunk from the external image of the target vehicle to be cleaned, and compare the outline of the trunk with the outline of the trunk corresponding to each set sealing degree, thereby obtaining the sealing degree corresponding to the trunk, which is recorded as δ;

[0021] A5. Based on the airtightness of the target vehicle's windows, doors, sunroof, and trunk, use the calculation formula Calculate the closed state compliance coefficient corresponding to the target cleaning vehicle Among them, g1, g2, g3 and g4 represent the weight factors corresponding to the window tightness, door tightness, sunroof tightness and trunk tightness respectively, and g1+g2+g3+g4=1;

[0022] A6. Focus on the parking position of the vehicle according to each collected picture corresponding to the collected target cleaning vehicle, obtain the parking spacing corresponding to each orientation of the target cleaning vehicle, the center position of the fully automatic cleaning machine and the parking center position of the target cleaning vehicle, and calculate the parking state compliance coefficient ε corresponding to the target cleaning vehicle based on the parking spacing corresponding to each orientation of the target cleaning vehicle, the center position of the fully automatic cleaning machine and the parking center position of the target cleaning vehicle, wherein each orientation includes the front orientation, the rear orientation, the left orientation and the right orientation;

[0023] A7. Focus each acquisition screen corresponding to the target cleaning vehicle on the vehicle dashboard. If the dashboard is in the open state, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as φ′. If the dashboard is in the closed state, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as φ″. Thus, the cleaning state evaluation coefficient φ corresponding to the target cleaning vehicle is obtained. The value of φ is φ′ or φ″, and φ′>φ″.

[0024] A8. Based on the closed state compliance coefficient, the parking state compliance coefficient and the cleaning state assessment coefficient corresponding to the target cleaning vehicle, a cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is obtained by comprehensive calculation.

[0025] According to a preferred implementation of the first aspect of the present invention, the parking evaluation coefficient corresponding to the target cleaning vehicle is specifically analyzed as follows:

[0026] C1. Extract the left distance, right distance, front distance and rear distance between the target cleaning vehicle and the fully automatic cleaning machine from the parking position images of each vehicle, and use the calculation formula The parking orientation evaluation coefficient γ corresponding to the target cleaning vehicle is calculated, wherein L', Y', U' and P' respectively represent the permitted left spacing, permitted right spacing, permitted front spacing and permitted rear spacing corresponding to the set cleaning vehicle, L, Y, U and P respectively represent the left spacing, right spacing, front spacing and rear spacing corresponding to the target cleaning vehicle, ΔL, ΔY, ΔU, ΔP respectively represent the permitted left spacing difference, permitted right spacing difference, permitted front spacing difference and permitted rear spacing difference corresponding to the set cleaning vehicle, wherein a1, a2, a3 and a4 respectively represent the weight factors corresponding to the left spacing, right spacing, front spacing and rear spacing, and a1+a2+a3+a4=1;

[0027] C2. Extract the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle from the parking position images of each vehicle, use the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle as center lines, and then obtain the angle between the target cleaning vehicle and the fully automatic cleaning machine. Use the calculation formula The parking specification evaluation coefficient η corresponding to the target cleaning vehicle is calculated, where θ′ represents the permitted angle between the target cleaning vehicle and the fully automatic cleaning machine, θ represents the angle between the target cleaning vehicle and the fully automatic cleaning machine, and Δθ represents the difference in the permitted angle;

[0028] C3, based on the parking orientation evaluation coefficient and parking specification evaluation coefficient corresponding to the target cleaning vehicle, use the calculation formula The parking evaluation coefficient κ corresponding to the target cleaning vehicle is calculated, where d1 and d2 represent the weight factors corresponding to the parking orientation and parking specification, respectively.

[0029] According to a preferred implementation of the first aspect of the present invention, the cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is specifically calculated by the following formula:

[0030] Wherein, b1, b2 and b3 represent the influence weights corresponding to the closed state, the parking state and the cleaning state of the set target cleaning vehicle respectively, and b1+b2+b3=1.

[0031] According to a preferred embodiment of the first aspect of the present invention, the stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle, the specific analysis process includes the following steps:

[0032] B1. Extracting stain information corresponding to each position of the vehicle body from the stain image corresponding to the target vehicle to be cleaned, wherein the stain information includes dust thickness and stain type, the number of stain locations corresponding to each type of stain, and the comprehensive area corresponding to each type of stain;

[0033] B2. Using the calculation formula Calculate the stain degree assessment coefficient λ corresponding to each cleaning area of ​​the target cleaning vehicle v , where u represents the number corresponding to each stain type of the target vehicle, u = 1, 2, ... q, v represents the number corresponding to each cleaning area of ​​the target vehicle, v = 1, 2, ... p, S u ′, G u ′ respectively represent the number of permissible stains corresponding to the u-th stain type and the permissible area corresponding to the stain, They are respectively represented as the number and area of ​​stains corresponding to the u-th type of stains in the v-th cleaning area, K' represents the allowable dust thickness corresponding to the target cleaning vehicle, and K v It is expressed as the dust thickness corresponding to the vth cleaning area, σ u It is represented as the cleaning difficulty weight factor corresponding to the u-th stain type, c1, c2 and c3 respectively represent the weight factors corresponding to the number, area and dust thickness of the stains corresponding to the set target cleaning vehicle, and c1+c2+c3=1.

[0034] According to a preferred implementation of the first aspect of the present invention, the specific confirmation process of confirming the cleaning level corresponding to each cleaning area is as follows:

[0035] The soiling degree assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle is matched and compared with the soiling degree assessment coefficient range corresponding to each set cleaning level, and the cleaning level corresponding to each cleaning area is screened and obtained.

[0036] According to a preferred embodiment of the first aspect of the present invention, the database is used to store the allowed number of stains corresponding to each stain type corresponding to the target cleaning vehicle, the allowed area corresponding to the stain and the allowed dust thickness, and is also used to store the cleaning difficulty weight factor corresponding to each stain type.

[0037] A second aspect of the present invention provides a car water-saving control cleaning method, the method comprising the following steps:

[0038] Step 1: Acquiring vehicle appearance information: acquiring vehicle appearance information corresponding to the target cleaning vehicle, and then constructing a three-dimensional appearance model corresponding to the target cleaning vehicle;

[0039] Step 2: Vehicle image information collection and analysis: The external image, internal image and parking position of the target vehicle to be washed in the current fully automatic car wash machine are collected by deploying high-definition cameras, and then the washing preparation assessment coefficient corresponding to the target vehicle to be washed is analyzed and compared with the standard washing preparation assessment coefficient of the vehicle. If the washing preparation assessment coefficient corresponding to the target vehicle to be washed is greater than or equal to the standard washing preparation assessment coefficient of the vehicle, step 4 is executed, otherwise step 3 is executed;

[0040] Step 3: Vehicle status warning: When the cleaning preparation evaluation coefficient corresponding to the target cleaning vehicle is less than or equal to the vehicle standard cleaning preparation evaluation coefficient, the vehicle warning state is activated;

[0041] Step 4: Body stain image monitoring: Divide the vehicle structure into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and detect the dust thickness in each cleaning area through the dust thickness measuring instrument;

[0042] Step 5: Body stain image analysis: extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target vehicle, and obtain the appearance cleanliness evaluation coefficient corresponding to each cleaning area of ​​the target vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area;

[0043] Step 6: Vehicle cleaning execution: According to the cleaning level corresponding to each cleaning area of ​​the target vehicle, start the fully automatic car washing machine for graded cleaning.

[0044] A third aspect of the present invention provides a car water-saving control cleaning storage medium, wherein the car water-saving control cleaning storage medium is burned with a computer program, and when the computer program is run in the memory of a server, the car water-saving control cleaning system of the present invention is implemented.

[0045] In combination with the above technical solution, the beneficial effects of the present invention are as follows:

[0046] The present invention provides a car water-saving control cleaning system. The system obtains a parking assessment coefficient corresponding to the target cleaning vehicle by monitoring and analyzing the parking information corresponding to the target cleaning vehicle, and then obtains an appearance cleanliness assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle by performing image acquisition and analysis on the body stains of the target cleaning vehicle, thereby confirming the cleaning level corresponding to each cleaning area. On the one hand, it effectively solves the problem that the current car water-saving control cleaning still has certain limitations, reduces water consumption, is beneficial to the sustainable utilization of water resources, and reduces the car washing cost and operating expenses to a certain extent. On the other hand, it avoids the occurrence of uneven vehicle cleaning, ensures the safety of the target cleaning vehicle inside the full-automatic cleaning machine, reduces safety hazards, and improves the service life and safety of the vehicle. On the other hand, zoning cleaning of each cleaning area corresponding to the target cleaning vehicle is beneficial to ensure the quantitative use of chemical reagents, improves the accuracy of use, and reduces the workload of subsequent pipeline sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention;

[0049] Figure 2 A schematic diagram of the parking position of a cleaning vehicle for the purpose of the present invention;

[0050] Figure 3 The present invention is a flowchart of the steps for implementing the method. DETAILED DESCRIPTION

[0051] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0052] See also Figure 1 As shown, a car water-saving control cleaning system includes a vehicle appearance information acquisition module, a vehicle image information collection and analysis module, a vehicle status warning terminal, a body stain image monitoring module, a body stain image analysis module, a vehicle cleaning execution terminal and a database.

[0053] The vehicle image information acquisition and analysis module is connected to the vehicle status warning terminal, and the vehicle body stain image analysis module is connected to the vehicle appearance information acquisition module, the vehicle body stain image monitoring module, the database and the vehicle cleaning execution terminal.

[0054] The vehicle appearance information acquisition module is used to acquire the appearance information corresponding to the target cleaning vehicle, thereby constructing a three-dimensional appearance model corresponding to the target cleaning vehicle, and sending the three-dimensional appearance model corresponding to the target cleaning vehicle to the vehicle body stain image analysis module.

[0055] The vehicle image information acquisition and analysis module is used to acquire images of the external image, internal image and parking position of the target vehicle being cleaned in the current fully automatic car wash machine through the deployed high-definition camera, and then analyze and obtain the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned, and compare the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned with the vehicle standard cleaning preparation assessment coefficient. If the cleaning preparation assessment coefficient corresponding to the target vehicle being cleaned is greater than or equal to the vehicle standard cleaning preparation assessment coefficient, the vehicle body stain image monitoring module is activated, otherwise the vehicle status warning terminal is activated.

[0056] In a possible design, the external image corresponding to the target cleaning vehicle includes a window image, a door image, a skylight image and a trunk image, and the internal image is a dashboard image.

[0057] The vehicle status warning terminal starts the vehicle warning state when the cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is less than or equal to the vehicle standard cleaning preparation assessment coefficient.

[0058] In a possible design, the specific analysis process of the cleaning readiness assessment coefficient corresponding to the target cleaning vehicle includes the following steps:

[0059] A1. Identify the contours of each window from the external image of the target vehicle to be cleaned, and compare the contours of each window with the contours of the window corresponding to each set closure degree, thereby obtaining the closure degree corresponding to each window, and record it as α i , where i represents the number corresponding to each window, i=1,2,...m;

[0060] A2. Identify the contours of each door from the external image of the target vehicle to be cleaned, and compare the contours of each door with the contours of the door corresponding to each set sealing degree, thereby obtaining the sealing degree corresponding to each door, and record it as β j , where j represents the number corresponding to each door, j=1,2,...n;

[0061] A3. Identify the contour of the skylight from the external image of the target vehicle to be cleaned, and compare the contour of the skylight with the contours of the skylight corresponding to each set closure degree, thereby obtaining the closure degree corresponding to the skylight, and record it as χ;

[0062] A4. Identify the outline of the trunk from the external image of the target vehicle to be cleaned, and compare the outline of the trunk with the outline of the trunk corresponding to each set sealing degree, thereby obtaining the sealing degree corresponding to the trunk, which is recorded as δ;

[0063] A5. Based on the airtightness of the target vehicle's windows, doors, sunroof, and trunk, use the calculation formula Calculate the closed state compliance coefficient corresponding to the target cleaning vehicle Among them, g1, g2, g3 and g4 represent the weight factors corresponding to the window tightness, door tightness, sunroof tightness and trunk tightness respectively, and g1+g2+g3+g4=1;

[0064] A6. Focus on the parking position of the vehicle according to each collected picture corresponding to the collected target cleaning vehicle, obtain the parking spacing corresponding to each orientation of the target cleaning vehicle, the center position of the fully automatic cleaning machine and the parking center position of the target cleaning vehicle, and calculate the parking state compliance coefficient ε corresponding to the target cleaning vehicle based on the parking spacing corresponding to each orientation of the target cleaning vehicle, the center position of the fully automatic cleaning machine and the parking center position of the target cleaning vehicle, wherein each orientation includes the front orientation, the rear orientation, the left orientation and the right orientation;

[0065] A7. Focus each acquisition screen corresponding to the target cleaning vehicle on the vehicle dashboard. If the dashboard is in the open state, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as φ′. If the dashboard is in the closed state, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as φ″. Thus, the cleaning state evaluation coefficient φ corresponding to the target cleaning vehicle is obtained. The value of φ is φ′ or φ″, and φ′>φ″.

[0066] A8. Based on the closed state compliance coefficient, the parking state compliance coefficient and the cleaning state assessment coefficient corresponding to the target cleaning vehicle, a cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is obtained by comprehensive calculation.

[0067] See also Figure 2 As shown, in a possible design, the parking evaluation coefficient corresponding to the target cleaning vehicle is analyzed as follows:

[0068] C1. Extract the left distance, right distance, front distance and rear distance between the target cleaning vehicle and the fully automatic cleaning machine from the parking position images of each vehicle, and use the calculation formula The parking orientation evaluation coefficient γ corresponding to the target cleaning vehicle is calculated, wherein L', Y', U' and P' respectively represent the permitted left spacing, permitted right spacing, permitted front spacing and permitted rear spacing corresponding to the set cleaning vehicle, L, Y, U and P respectively represent the left spacing, right spacing, front spacing and rear spacing corresponding to the target cleaning vehicle, ΔL, ΔY, ΔU, ΔP respectively represent the permitted left spacing difference, permitted right spacing difference, permitted front spacing difference and permitted rear spacing difference corresponding to the set cleaning vehicle, wherein a1, a2, a3 and a4 respectively represent the weight factors corresponding to the left spacing, right spacing, front spacing and rear spacing, and a1+a2+a3+a4=1;

[0069] C2. Extract the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle from the parking position images of each vehicle, use the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle as center lines, and then obtain the angle between the target cleaning vehicle and the fully automatic cleaning machine. Use the calculation formula The parking specification evaluation coefficient η corresponding to the target cleaning vehicle is calculated, where θ′ represents the permitted angle between the target cleaning vehicle and the fully automatic cleaning machine, θ represents the angle between the target cleaning vehicle and the fully automatic cleaning machine, and Δθ represents the difference in the permitted angle;

[0070] C3, based on the parking orientation evaluation coefficient and parking specification evaluation coefficient corresponding to the target cleaning vehicle, use the calculation formula The parking evaluation coefficient κ corresponding to the target cleaning vehicle is calculated, where d1 and d2 represent the weight factors corresponding to the parking orientation and parking specification, respectively.

[0071] In a possible design, the cleaning readiness assessment coefficient corresponding to the target cleaning vehicle is specifically calculated by the following formula:

[0072] Wherein, b1, b2 and b3 represent the influence weights corresponding to the closed state, the parking state and the cleaning state of the set target cleaning vehicle respectively, and b1+b2+b3=1.

[0073] The vehicle body stain image monitoring module is used to divide the vehicle structural features into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and at the same time detect the dust thickness in each cleaning area through a dust thickness measuring instrument, and send the collected stain images and dust thickness corresponding to each cleaning area of ​​the target cleaning vehicle to the vehicle body stain image analysis module.

[0074] The vehicle body stain image analysis module is used to extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target cleaning vehicle, and obtain the stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area.

[0075] In a possible design, the stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle, the specific analysis process includes the following steps:

[0076] B1. Extracting stain information corresponding to each position of the vehicle body from the stain image corresponding to the target vehicle to be cleaned, wherein the stain information includes dust thickness and stain type, the number of stain locations corresponding to each type of stain, and the comprehensive area corresponding to each type of stain;

[0077] B2. Use the calculation formula Calculate the stain degree assessment coefficient λ corresponding to each cleaning area of ​​the target cleaning vehicle v , where u represents the number corresponding to each stain type of the target vehicle, u = 1, 2, ... q, v represents the number corresponding to each cleaning area of ​​the target vehicle, v = 1, 2, ... p, S u ′, G u ′ respectively represent the number of permissible stains corresponding to the u-th stain type and the permissible area corresponding to the stain, They are respectively represented as the number and area of ​​stains corresponding to the u-th type of stains in the v-th cleaning area, K' represents the allowable dust thickness corresponding to the target cleaning vehicle, and K v It is expressed as the dust thickness corresponding to the vth cleaning area, σ u It is represented as the cleaning difficulty weight factor corresponding to the u-th stain type, c1, c2 and c3 respectively represent the weight factors corresponding to the number, area and dust thickness of the stains corresponding to the set target cleaning vehicle, and c1+c2+c3=1.

[0078] In a possible design, the cleaning level corresponding to each cleaning area is confirmed, and the specific confirmation process is as follows:

[0079] The soiling degree assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle is matched and compared with the soiling degree assessment coefficient range corresponding to each set cleaning level, and the cleaning level corresponding to each cleaning area is screened and obtained.

[0080] The vehicle washing execution terminal is used to start the fully automatic car washing machine to perform graded washing according to the washing levels corresponding to the washing areas of the target vehicle.

[0081] In a possible design, the database is used to store the permitted number of stains, permitted area and permitted dust thickness corresponding to each stain type of the target cleaning vehicle, and is also used to store the cleaning difficulty weight factor corresponding to each stain type.

[0082] The present invention provides a car water-saving control cleaning system. The system obtains a parking assessment coefficient corresponding to the target cleaning vehicle by monitoring and analyzing the parking information corresponding to the target cleaning vehicle, and then obtains an appearance cleanliness assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle by performing image acquisition and analysis on the body stains of the target cleaning vehicle, thereby confirming the cleaning level corresponding to each cleaning area. On the one hand, it effectively solves the problem that the current car water-saving control cleaning still has certain limitations, reduces water consumption, is beneficial to the sustainable utilization of water resources, and reduces the car washing cost and operating expenses to a certain extent. On the other hand, it avoids the occurrence of uneven vehicle cleaning, ensures the safety of the target cleaning vehicle inside the full-automatic cleaning machine, reduces safety hazards, and improves the service life and safety of the vehicle. On the other hand, zoning cleaning of each cleaning area corresponding to the target cleaning vehicle is beneficial to ensure the quantitative use of chemical reagents, improves the accuracy of use, and reduces the workload of subsequent pipeline sewage treatment.

[0083] See also Figure 3 As shown, a car water-saving control cleaning method comprises the following steps:

[0084] Step 1: Acquiring vehicle appearance information: acquiring vehicle appearance information corresponding to the target cleaning vehicle, and then constructing a three-dimensional appearance model corresponding to the target cleaning vehicle;

[0085] Step 2: Vehicle image information collection and analysis: The external image, internal image and parking position of the target vehicle to be washed in the current fully automatic car wash machine are collected by deploying high-definition cameras, and then the washing preparation assessment coefficient corresponding to the target vehicle to be washed is analyzed and compared with the standard washing preparation assessment coefficient of the vehicle. If the washing preparation assessment coefficient corresponding to the target vehicle to be washed is greater than or equal to the standard washing preparation assessment coefficient of the vehicle, step 4 is executed, otherwise step 3 is executed;

[0086] Step 3: Vehicle status warning: When the cleaning preparation evaluation coefficient corresponding to the target cleaning vehicle is less than or equal to the vehicle standard cleaning preparation evaluation coefficient, the vehicle warning state is activated;

[0087] Step 4: Body stain image monitoring: Divide the vehicle structure into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and detect the dust thickness in each cleaning area through the dust thickness measuring instrument;

[0088] Step 5: Body stain image analysis: extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target vehicle, and obtain the appearance cleanliness evaluation coefficient corresponding to each cleaning area of ​​the target vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area;

[0089] Step 6: Vehicle cleaning execution: According to the cleaning level corresponding to each cleaning area of ​​the target vehicle, start the fully automatic car washing machine for graded cleaning.

[0090] The present invention also provides a car water-saving control cleaning storage medium, which is burned with a computer program. When the computer program runs in the memory of a server, the car water-saving control cleaning system of the present invention is realized.

[0091] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A car water-saving control cleaning system, characterized in that: The system includes a vehicle appearance information acquisition module, a vehicle image information collection and analysis module, a vehicle status warning terminal, a vehicle body stain image monitoring module, a vehicle body stain image analysis module, a vehicle cleaning execution terminal and a database; The vehicle appearance information acquisition module is used to acquire the appearance information corresponding to the target cleaning vehicle, thereby constructing a three-dimensional appearance model corresponding to the target cleaning vehicle, and sending the three-dimensional appearance model corresponding to the target cleaning vehicle to the vehicle body stain image analysis module; The vehicle image information acquisition and analysis module is used to acquire the external image, internal image and parking position of the target vehicle in the current fully automatic car wash machine through the deployed high-definition camera, and then analyze and obtain the cleaning preparation evaluation coefficient corresponding to the target vehicle. ,Will Compare with the vehicle standard wash preparation assessment factor, if If it is greater than or equal to the vehicle standard cleaning preparation assessment coefficient, the vehicle body stain image monitoring module is activated, otherwise the vehicle status warning terminal is activated; The vehicle status warning terminal, when If the value is less than or equal to the vehicle standard cleaning preparation assessment coefficient, the vehicle warning state is activated; The vehicle body stain image monitoring module is used to divide the vehicle structural features into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and detect the dust thickness in each cleaning area through the dust thickness measuring instrument, and send the collected stain images and dust thickness corresponding to each cleaning area of ​​the target cleaning vehicle to the vehicle body stain image analysis module; The vehicle body stain image analysis module is used to extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target cleaning vehicle, and obtain the stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area; The vehicle washing execution terminal is used to start the fully automatic car washing machine for graded washing according to the washing levels corresponding to each washing area of ​​the target vehicle; The analysis process includes the following steps: A1. Identify the contours of each window from the external image of the target vehicle to be cleaned, and compare the contours of each window with the contours of the window corresponding to each set closure degree to obtain the closure degree corresponding to each window. , where i represents the number corresponding to each window, i=1,2,...m; A2. Identify the contours of each door from the external image of the target vehicle to be cleaned, and compare the contours of each door with the contours of the door corresponding to each set sealing degree to obtain the sealing degree corresponding to each door. , where j represents the number corresponding to each door, j=1,2,......n; A3. Identify the contour of the sunroof from the external image of the target vehicle to be cleaned, and compare the contour of the sunroof with the contours of the sunroof corresponding to each set closure degree to obtain the closure degree corresponding to the sunroof. ; A4. Identify the outline of the trunk from the external image of the target vehicle to be cleaned, and compare the outline of the trunk with the outline of the trunk corresponding to each set closure degree to obtain the corresponding closure degree of the trunk. ; A5. Based on the target vehicle , , and , using the calculation formula , calculate the closed state compliance coefficient corresponding to the target cleaning vehicle , where g1, g2, g3 and g4 represent the weight factors corresponding to the window tightness, door tightness, sunroof tightness and trunk tightness, respectively, and g1+g2+g3+g4=1; A6. Focus on the parking position of the vehicle according to the collected images corresponding to the target cleaning vehicle, obtain the parking spacing corresponding to each direction of the target cleaning vehicle, the center point position of the fully automatic cleaning machine and the parking center point position of the target cleaning vehicle, and calculate the parking state compliance coefficient corresponding to the target cleaning vehicle based on the parking spacing corresponding to each direction of the target cleaning vehicle, the center point position of the fully automatic cleaning machine and the parking center point position of the target cleaning vehicle. , wherein each direction includes a front direction, a rear direction, a left direction and a right direction; A7. Focus the collected images corresponding to the target cleaning vehicle on the vehicle dashboard. If the dashboard is turned on, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as Otherwise, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as , thus obtaining the cleaning state evaluation coefficient corresponding to the target cleaning vehicle , The value is or ,and > ; A8. Based on , and , the cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is obtained by comprehensive calculation.

2. A car water-saving control cleaning system according to claim 1, characterized in that: The external image corresponding to the target cleaning vehicle includes a vehicle window image, a vehicle door image, a skylight image and a trunk image, and the internal image is a dashboard image.

3. A car water-saving control cleaning system according to claim 1, characterized in that: The parking evaluation coefficient corresponding to the target cleaning vehicle is analyzed in detail as follows: C1. Extract the left distance, right distance, front distance and rear distance between the target cleaning vehicle and the fully automatic cleaning machine from the parking position images of each vehicle, and use the calculation formula , calculate the parking position evaluation coefficient corresponding to the target cleaning vehicle , where L', Y', U' and P' respectively represent the permitted left spacing, permitted right spacing, permitted front spacing and permitted rear spacing corresponding to the set cleaning vehicle, and L, Y, U and P respectively represent the left spacing, right spacing, front spacing and rear spacing corresponding to the target cleaning vehicle. They are respectively represented as the allowed left spacing difference, allowed right spacing difference, allowed front spacing difference and allowed rear spacing difference corresponding to the set cleaning vehicle, wherein a1, a2, a3 and a4 are respectively represented as the weight factors corresponding to the left spacing, right spacing, front spacing and rear spacing, and a1+a2+a3+a4=1; C2. Extract the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle from the parking position images of each vehicle, use the center point of the fully automatic cleaning machine and the center point of the target cleaning vehicle as center lines, and then obtain the angle between the target cleaning vehicle and the fully automatic cleaning machine. Use the calculation formula , calculate the parking specification evaluation coefficient corresponding to the target cleaning vehicle ,in, It is expressed as the allowable angle between the target cleaning vehicle and the fully automatic cleaning machine. It is expressed as the angle between the target cleaning vehicle and the fully automatic cleaning machine. It is expressed as the difference in the set allowable angle degree; C3, based on the parking orientation evaluation coefficient and parking specification evaluation coefficient corresponding to the target cleaning vehicle, use the calculation formula , calculate the parking evaluation coefficient corresponding to the target cleaning vehicle , where d1 and d2 represent the weight factors corresponding to the parking orientation and parking specification respectively.

4. A car water-saving control cleaning system according to claim 1, characterized in that: The specific calculation formula of the cleaning preparation evaluation coefficient corresponding to the target cleaning vehicle is as follows: , where b1, b2 and b3 represent the influence weights corresponding to the closed state, parking state and cleaning state of the set target cleaning vehicle, respectively, and b1+b2+b3=1.

5. A car water-saving control cleaning system according to claim 1, characterized in that: The stain degree evaluation coefficient corresponding to each cleaning area of ​​the target cleaning vehicle, the specific analysis process includes the following steps: B1. Extracting stain information corresponding to each position of the vehicle body from the stain image corresponding to the target vehicle to be cleaned, wherein the stain information includes dust thickness and stain type, the number of stain locations corresponding to each type of stain, and the comprehensive area corresponding to each type of stain; B2. Using the calculation formula , calculate the stain degree assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle , where u represents the number corresponding to each stain type of the target vehicle, u=1,2,...q, v represents the number corresponding to each cleaning area of ​​the target vehicle, v=1,2,...p, They are respectively represented as the number of permitted stains corresponding to the u-th stain type and the permitted area corresponding to the stain, They are respectively represented as the number and area of ​​stains corresponding to the u-th type of stains in the v-th cleaning area, K' represents the allowable dust thickness corresponding to the target cleaning vehicle, It is expressed as the dust thickness corresponding to the vth cleaning area, It is represented as the cleaning difficulty weight factor corresponding to the u-th stain type, c1, c2 and c3 respectively represent the weight factors corresponding to the number, area and dust thickness of the stains corresponding to the set target cleaning vehicle, and c1+c2+c3=1.

6. A car water-saving control cleaning system according to claim 1, characterized in that: The specific confirmation process of confirming the cleaning level corresponding to each cleaning area is as follows: The soiling degree assessment coefficient corresponding to each cleaning area of ​​the target cleaning vehicle is matched and compared with the soiling degree assessment coefficient range corresponding to each set cleaning level, and the cleaning level corresponding to each cleaning area is screened and obtained.

7. A car water-saving control cleaning system according to claim 1, characterized in that: The database is used to store the number of permitted stains, permitted areas and permitted dust thicknesses corresponding to each stain type corresponding to the target cleaning vehicle, and is also used to store a cleaning difficulty weight factor corresponding to each stain type.

8. A car water-saving control cleaning method, characterized in that: The method comprises the following steps: Step 1: Acquiring vehicle appearance information: acquiring vehicle appearance information corresponding to the target cleaning vehicle, and then constructing a three-dimensional appearance model corresponding to the target cleaning vehicle; Step 2: Vehicle image information collection and analysis: The external image, internal image and parking position of the target vehicle to be washed in the current fully automatic car wash machine are collected by deploying high-definition cameras, and then the washing preparation assessment coefficient corresponding to the target vehicle to be washed is analyzed and compared with the standard washing preparation assessment coefficient of the vehicle. If the washing preparation assessment coefficient corresponding to the target vehicle to be washed is greater than or equal to the standard washing preparation assessment coefficient of the vehicle, step 4 is executed, otherwise step 3 is executed; The specific analysis process of the cleaning preparation evaluation coefficient corresponding to the target cleaning vehicle includes the following steps: A1. Identify the contours of each window from the external image of the target vehicle to be cleaned, and compare the contours of each window with the contours of the window corresponding to each set closure degree, thereby obtaining the closure degree corresponding to each window, and record it as , where i represents the number corresponding to each window, i=1,2,...m; A2. Identify the contours of each door from the external image of the target vehicle to be cleaned, and compare the contours of each door with the contours of the door corresponding to each set sealing degree, thereby obtaining the sealing degree corresponding to each door, and record it as , where j represents the number corresponding to each door, j=1,2,......n; A3. Identify the contour of the sunroof from the external image of the target vehicle to be cleaned, and compare the contour of the sunroof with the contours of the sunroof corresponding to each set closure degree, thereby obtaining the closure degree corresponding to the sunroof, and record it as ; A4. Identify the outline of the trunk from the external image of the target vehicle to be cleaned, and compare the outline of the trunk with the outline of the trunk corresponding to each set closure degree, thereby obtaining the closure degree corresponding to the trunk, and record it as ; A5. Based on the airtightness of the target vehicle's windows, doors, sunroof, and trunk, use the calculation formula , calculate the closed state compliance coefficient corresponding to the target cleaning vehicle , where g1, g2, g3 and g4 represent the weight factors corresponding to the window tightness, door tightness, sunroof tightness and trunk tightness, respectively, and g1+g2+g3+g4=1; A6. Focus on the parking position of the vehicle according to the collected images corresponding to the target cleaning vehicle, obtain the parking spacing corresponding to each direction of the target cleaning vehicle, the center point position of the fully automatic cleaning machine and the parking center point position of the target cleaning vehicle, and calculate the parking state compliance coefficient corresponding to the target cleaning vehicle based on the parking spacing corresponding to each direction of the target cleaning vehicle, the center point position of the fully automatic cleaning machine and the parking center point position of the target cleaning vehicle. , wherein each direction includes a front direction, a rear direction, a left direction and a right direction; A7. Focus the collected images corresponding to the target cleaning vehicle on the vehicle dashboard. If the dashboard is turned on, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as , if the dashboard is in the off state, the cleaning state compliance coefficient corresponding to the target cleaning vehicle is recorded as , thus obtaining the cleaning state evaluation coefficient corresponding to the target cleaning vehicle , The value is or ,and > ; A8. Based on the closed state compliance coefficient, the parking state compliance coefficient and the cleaning state assessment coefficient corresponding to the target cleaning vehicle, a cleaning preparation assessment coefficient corresponding to the target cleaning vehicle is obtained by comprehensive calculation; Step 3: Vehicle status warning: When the cleaning preparation evaluation coefficient corresponding to the target cleaning vehicle is less than or equal to the vehicle standard cleaning preparation evaluation coefficient, the vehicle warning state is activated; Step 4: Body stain image monitoring: Divide the vehicle structure into various cleaning areas, collect stain images of each cleaning area through the deployed high-definition cameras, and detect the dust thickness in each cleaning area through the dust thickness measuring instrument; Step 5: Body stain image analysis: extract the area corresponding to each cleaning area from the three-dimensional appearance model of the target vehicle, and obtain the appearance cleanliness evaluation coefficient corresponding to each cleaning area of ​​the target vehicle according to the stain image corresponding to each cleaning area, thereby confirming the cleaning level corresponding to each cleaning area; Step 6: Vehicle cleaning execution: According to the cleaning level corresponding to each cleaning area of ​​the target vehicle, start the fully automatic car washing machine for graded cleaning.

9. A car water-saving control cleaning storage medium, characterized in that: The car water-saving control and cleaning storage medium is burned with a computer program, and the computer program, when running in the memory of the server, implements the car water-saving control and cleaning system described in any one of claims 1 to 7.

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