A monitoring system and method for an intelligent unmanned car wash platform

Abstract

The present invention discloses a monitoring system and method for an intelligent unmanned car wash platform, relating to the technical field of unmanned car wash platforms. The system comprises: an intelligent unmanned car wash module, an intelligent car wash machine control module, a full cleaning module, a secondary positioning cleaning module, and a cost list monitoring module; the output end of the intelligent unmanned car wash module is connected to the input end of the intelligent car wash machine control module; the output end of the intelligent car wash machine control module is connected to the input end of the full cleaning module; the output end of the full cleaning module is connected to the input end of the secondary positioning cleaning module; and the output end of the secondary positioning cleaning module is connected to the input end of the cost list monitoring module. Based on the intelligent car wash, the present invention provides a segmented car wash step to maximize the automatic car wash effect and enhance the intelligence level of the intelligent unmanned car wash platform.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned car washing platforms, and in particular to a monitoring system and method for an intelligent unmanned car washing platform. Background Art

[0002] With the continuous increase in the number of cars, intelligent car washing services have also gradually improved. Compared with the many disadvantages of the traditional car washing industry, such as inconvenience, high cost, and difficulty in hiring workers, self-service car washing has become a development trend. In view of this situation, the intelligent unattended car washing platform has timely filled the market gap in the car washing industry. It adopts online appointment, license plate recognition, contactless payment and other technologies, which is more intelligent than self-service car washing.

[0003] However, there are still major defects in the field of intelligent unmanned car washing platforms. Compared with manual car washing, it adopts a programmed car washing method, that is, it cleans the entire car. However, due to the different levels of dirtiness of different parts of the car body, for example, the wheel hub, door edges and other parts are generally much dirtier than other parts. This will result in stubborn stains still existing on some parts after a programmed full-car wash. If the whole car is washed again, resources and material resources will be wasted. Therefore, there is a lack of accurate scanning and analysis of subsequent single-point stains. How to achieve secondary stain treatment after the full-car wash, and how to jointly treat multiple secondary stains, are still problems that have not been solved by the current intelligent unmanned car washing platform. Summary of the Invention

[0004] The purpose of the present invention is to provide a monitoring system and method for an intelligent unmanned car wash platform to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a monitoring method for an intelligent unmanned car wash platform, the method comprising the following steps:

[0006] S1. Build an intelligent unmanned car wash platform, which is connected to a user port via the Internet to achieve data communication;

[0007] S2. The intelligent unattended car wash platform connects to the control system of the intelligent car wash machine and outputs the license plate number of the user port to the control system. The control system of the intelligent car wash machine identifies the user's vehicle and allows the user's vehicle to enter the intelligent car wash machine after the license plate number is authenticated.

[0008] S3. After the user's vehicle arrives at the marked location of the smart car wash machine, the smart car wash is started. After the first comprehensive wash is completed, the recognition system is started to mark the location data of the residual stains on the vehicle and feed it back to the control system of the smart car wash machine;

[0009] S4. The control system of the intelligent car washing machine is connected to the car washing history database, and a residual stain analysis and processing model is constructed to integrate the residual stains and implement secondary cleaning. After completion, the recognition system is restarted until the recognition system feedback indicates that there is no stain on the car body;

[0010] S5. The control system of the smart car wash machine receives the signal indicating that the car body is free of stains from the recognition system, generates a fee list and feeds it back to the smart unattended car wash platform. After the user pays, a payment signal is generated and fed back to the control system of the smart car wash machine, and the control system releases the vehicle.

[0011] According to the above technical solution, the intelligent car washing machine includes all-round car washing and single-point car washing;

[0012] The all-round car wash refers to using a sponge dipped in water to scrub the entire car body; the single-point car wash refers to using a jet water gun to clean a single point on the car body;

[0013] The wet sponge and the water spray gun are both fixed on the intelligent car washing machine.

[0014] According to the above technical solution, in step S3, a full car wash is used for the first full wash;

[0015] A three-dimensional coordinate system is constructed inside the intelligent car wash machine, and the recognition system is activated to scan the vehicle body, mark the location of residual stains on the vehicle, generate three-dimensional coordinate data, and feed it back to the control system of the intelligent car wash machine.

[0016] The control system of the intelligent car washing machine is connected to the car washing history database, calling the historical car washing monitoring data to form a data group. The specific data group includes: the distance between the water jet outlet and the impact point of the car body, and the cleaning range radius;

[0017] The distance between the water jet gun outlet and the impact point of the car body refers to the distance between the coordinates of the water jet gun outlet and the coordinates of the impact point of the car body during any single-point car wash in the historical car wash data. The car body impact point refers to the point of contact between the water flow and the car body.

[0018] Clean historical car wash monitoring data, including:

[0019] Selecting a water flow action area, where the water flow action area is the area of ​​a circle whose radius is the maximum distance between the coordinates of the impact point on the vehicle body and the splash point formed by the water flow on the vehicle body;

[0020] The cleaning means selecting data on uncleaned stains within the water flow action area, and selecting the minimum distance between the uncleaned stains within the water flow action area and the coordinates of the impact point of the vehicle body as the cleaning range radius;

[0021] Several data sets are formed, and each set of data is written as [D0, R0], where D0 refers to the distance between the water outlet of the jet water gun and the impact point of the vehicle body; R0 refers to the radius of the cleaning range; fitting is performed based on the several data sets to form a functional relationship between D0 and R0.

[0022] According to the above technical solution, it also includes:

[0023] Segment the current vehicle body to form several regions. For any region, obtain the three-dimensional coordinate data of the position of the residual stain on the vehicle body in the region to form a regional three-dimensional coordinate data set;

[0024] The residual stains in the area are integrated. That is, there are K body impact points, each of which forms a cleaning range. The three-dimensional coordinate data sets of the area are all within the formed cleaning range. Any cleaning range is considered a cluster. The three-dimensional coordinate data of each residual stain position is used as a sample. The K value is determined based on the elbow method:

[0025]

[0026] Among them, SSE represents the core index value of the elbow method; i represents the sequence number; K represents the total number of impact points on the vehicle body; P represents the i-th cluster C i Sample points in m i Represents the i-th cluster C i The sample mean in ;

[0027] Set a minimum area square on the vehicle body that can accommodate all the data in the regional three-dimensional coordinate data set, and use the point within the minimum area square as the initial centroid selection;

[0028] K centroids are randomly selected, and the distance between the centroid coordinate point and the water jet outlet is used as the distance between the water jet outlet and the vehicle body impact point. The cleaning range radius is formed according to the functional relationship between D0 and R0, and then the cleaning range of K clusters is formed. If the cleaning range formed by the K clusters can completely cover the regional three-dimensional coordinate data set, the coordinate data of the K centroids are written into a group and included in the selection list; if it does not meet the requirements, reselect until the number of coordinate data sets in the selection list reaches the set threshold;

[0029] Constructing a residual stain analysis and processing model:

[0030]

[0031] Among them, Y represents the sum of distances of any cluster; j represents the sample number; e represents the total number of samples in the cluster; v j Represents any sample in the cluster; v0 represents the centroid of the cluster;

[0032] Calculate the sum of the Y values ​​of the K clusters, select the coordinate data of the K centroids corresponding to the smallest sum, and feed them back to the control system. Adjust the water jet gun to perform a second cleaning on the coordinate points of the K centroids. After completion, start the recognition system again until the recognition system feedback indicates that there is no stain on the car body.

[0033] In the above technical solution, the minimum value is used to represent that the data is closer to the centroid. In comparison, being closer to the centroid means being closer to the water flow impact point, and the cleaning effect on residual stains is more obvious.

[0034] A monitoring system for an intelligent unmanned car wash platform, the system comprising: an intelligent unmanned car wash module, an intelligent car wash machine control module, a comprehensive cleaning module, a secondary positioning cleaning module, and a cost list monitoring module;

[0035] The intelligent unmanned car wash module is used to build an intelligent unmanned car wash platform. The intelligent unmanned car wash platform is connected to the user port via the Internet to achieve data communication. The intelligent unmanned car wash platform is connected to the control system of the intelligent car wash machine. The intelligent car wash machine control module is used to output the license plate number of the user port to the control system. The control system of the intelligent car wash machine identifies the user's vehicle and releases the user's vehicle after the license plate number is authenticated and enters the intelligent car wash machine. The comprehensive cleaning module is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine. After the first comprehensive cleaning is completed, the recognition system is activated to mark the residual stain positioning data of the vehicle and feed it back to the control system of the intelligent car wash machine. The secondary positioning cleaning module is used to build a residual stain analysis and processing model to integrate the residual stains to achieve secondary cleaning. After completion, the recognition system is restarted until the recognition system feeds back that the vehicle body is free of stains. The fee list monitoring module is used to generate a fee list and feed it back to the intelligent unmanned car wash platform after receiving the vehicle body free of stains signal fed back by the recognition system. After the user pays, a payment signal is generated and fed back to the control system of the intelligent car wash machine, and the control system releases the vehicle.

[0036] The output end of the intelligent unattended car washing module is connected to the input end of the intelligent car washing machine control module; the output end of the intelligent car washing machine control module is connected to the input end of the comprehensive cleaning module; the output end of the comprehensive cleaning module is connected to the input end of the secondary positioning cleaning module; the output end of the secondary positioning cleaning module is connected to the input end of the expense list monitoring module.

[0037] According to the above technical solution, the intelligent car washing machine control module includes a license plate intelligent recognition unit and a feedback unit;

[0038] The license plate intelligent recognition unit is used to identify the license plate number of the user's vehicle and compare it with the license plate number in the control system. When the comparison is exactly the same, a feedback signal is generated; the feedback unit is used to feed the feedback signal back to the control system to enable the vehicle to enter;

[0039] The output end of the license plate intelligent recognition unit is connected to the input end of the feedback unit.

[0040] According to the above technical solution, the comprehensive cleaning module includes a comprehensive cleaning unit and a marking unit;

[0041] The comprehensive washing unit is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine; the marking unit is used to start the recognition system after the first comprehensive washing is completed, mark the residual stain location data of the vehicle, and feed it back to the control system of the intelligent car wash machine;

[0042] The output end of the comprehensive cleaning unit is connected to the input end of the marking unit.

[0043] According to the above technical solution, the secondary positioning and cleaning module includes a model building unit and a stain recognition unit;

[0044] The model building unit is used to build a residual stain analysis and processing model, integrate the residual stains, achieve secondary cleaning, and restart the recognition system after completion; the stain recognition unit is used to identify stains on the vehicle body and stops recognition when feedback indicates that there are no stains on the vehicle body;

[0045] The output end of the model building unit is connected to the input end of the stain identification unit.

[0046] According to the above technical solution, the expense list monitoring module includes an expense list monitoring unit and a signal transmission unit;

[0047] The fee list monitoring unit is used to generate a fee list and feed it back to the intelligent unattended car wash platform after receiving the vehicle body stain-free signal fed back by the recognition system; the signal transmission unit is used to generate a payment signal and feed it back to the control system of the intelligent car wash machine after the user pays, so that the control system releases the vehicle;

[0048] The output end of the bill monitoring unit is connected to the input end of the signal transmission unit.

[0049] Compared with the existing technology, the beneficial effects of the present invention are: on the basis of intelligent car washing, the present invention provides a segmented car washing step, with comprehensive cleaning as the main method and fixed-point cleaning as the auxiliary method. It can realize intelligent analysis and processing of stubborn and residual stains, and concentrated cleaning, thereby improving the automatic car washing effect as much as possible and enhancing the intelligence level of the intelligent unmanned car washing platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The figure is a flow chart of a monitoring method for an intelligent unmanned car wash platform according to the present invention. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0052] Example: Figure 1 As shown, the present invention provides a monitoring method for an intelligent unmanned car wash platform, the method comprising: constructing an intelligent unmanned car wash platform, wherein the intelligent unmanned car wash platform is connected to a user port via the Internet to achieve data communication; in this embodiment, a user port is established in the form of a public account or an app, and the user places an order and makes an appointment via the Internet and uploads the vehicle license plate number;

[0053] The intelligent unattended car wash platform is connected to the control system of the intelligent car wash machine, outputs the license plate number of the user port to the control system, and the control system of the intelligent car wash machine identifies the user's vehicle and releases the user's vehicle into the intelligent car wash machine after the license plate number is authenticated.

[0054] After the user's vehicle arrives at the marked position of the smart car wash machine, the smart car wash is started. The smart car wash machine includes all-round car wash and single-point car wash; the all-round car wash refers to using a wet sponge to scrub the entire car body; the single-point car wash refers to using a jet water gun to clean a single point on the car body;

[0055] The wet sponge and the water spray gun are both fixed on the intelligent car washing machine.

[0056] After the first comprehensive car wash, a three-dimensional coordinate system is constructed inside the intelligent car wash machine. The recognition system is activated to scan the car body, mark the location of residual stains on the vehicle, generate three-dimensional coordinate data, and feed it back to the control system of the intelligent car wash machine.

[0057] The control system of the intelligent car washing machine is connected to the car washing history database, calling the historical car washing monitoring data to form a data group. The specific data group includes: the distance between the water jet outlet and the impact point of the car body, and the cleaning range radius;

[0058] The distance between the water jet gun outlet and the impact point of the car body refers to the distance between the coordinates of the water jet gun outlet and the coordinates of the impact point of the car body during any single-point car wash in the historical car wash data. The car body impact point refers to the point of contact between the water flow and the car body.

[0059] Clean historical car wash monitoring data, including:

[0060] Selecting a water flow action area, where the water flow action area is the area of ​​a circle whose radius is the maximum distance between the coordinates of the impact point on the vehicle body and the splash point formed by the water flow on the vehicle body;

[0061] The cleaning means selecting data on uncleaned stains within the water flow action area, and selecting the minimum distance between the uncleaned stains within the water flow action area and the coordinates of the impact point of the vehicle body as the cleaning range radius;

[0062] Several data sets are formed, and each set of data is written as [D0, R0], where D0 refers to the distance between the water outlet of the jet water gun and the impact point of the vehicle body; R0 refers to the radius of the cleaning range; fitting is performed based on the several data sets to form a functional relationship between D0 and R0.

[0063] Segment the current vehicle body to form several regions. For any region, obtain the three-dimensional coordinate data of the position of the residual stain on the vehicle body in the region to form a regional three-dimensional coordinate data set;

[0064] The residual stains in the area are integrated. That is, there are K body impact points, each of which forms a cleaning range. The three-dimensional coordinate data sets of the area are all within the formed cleaning range. Any cleaning range is considered a cluster. The three-dimensional coordinate data of each residual stain position is used as a sample. The K value is determined based on the elbow method:

[0065]

[0066] Among them, SSE represents the core index value of the elbow method; i represents the sequence number; K represents the total number of impact points on the vehicle body; P represents the i-th cluster C i Sample points in m i Represents the i-th cluster C i The sample mean in

[15] is 1. When K is less than the true number of clusters, the SSE decreases significantly because increasing K increases the degree of aggregation of each cluster. However, when K reaches the true number of clusters, the return on aggregation obtained by further increasing K rapidly decreases, so the decrease in SSE decreases sharply and then levels off as K continues to increase. In other words, the relationship between SSE and K is shaped like an elbow, and the K value corresponding to this elbow is the true number of clusters in the data, which is the K value selected in this embodiment.

[0067] Set a minimum area square on the vehicle body that can accommodate all the data in the regional three-dimensional coordinate data set, and use the point within the minimum area square as the initial centroid selection;

[0068] K centroids are randomly selected, and the distance between the centroid coordinate point and the water jet outlet is used as the distance between the water jet outlet and the vehicle body impact point. The cleaning range radius is formed according to the functional relationship between D0 and R0, and then the cleaning range of K clusters is formed. If the cleaning range formed by the K clusters can completely cover the regional three-dimensional coordinate data set, the coordinate data of the K centroids are written into a group and included in the selection list; if it does not meet the requirements, reselect until the number of coordinate data sets in the selection list reaches the set threshold;

[0069] Constructing a residual stain analysis and processing model:

[0070]

[0071] Among them, Y represents the sum of distances of any cluster; j represents the sample number; e represents the total number of samples in the cluster; v j Represents any sample in the cluster; v0 represents the centroid of the cluster;

[0072] Calculate the sum of the Y values ​​of the K clusters, select the coordinate data of the K centroids corresponding to the smallest sum, and feed them back to the control system. Adjust the water jet gun to perform a second cleaning on the coordinate points of the K centroids. After completion, start the recognition system again until the recognition system feedback indicates that there is no stain on the car body.

[0073] The control system of the smart car wash machine receives the signal from the identification system that the car body is free of stains, generates a fee list and feeds it back to the smart unattended car wash platform. After the user pays, a payment signal is generated and fed back to the control system of the smart car wash machine, and the control system releases the vehicle.

[0074] In this embodiment, a monitoring system for an intelligent unmanned car wash platform is also provided, which includes: an intelligent unmanned car wash module, an intelligent car wash machine control module, a comprehensive cleaning module, a secondary positioning cleaning module, and a cost list monitoring module;

[0075] The intelligent unmanned car wash module is used to build an intelligent unmanned car wash platform. The intelligent unmanned car wash platform is connected to the user port via the Internet to achieve data communication. The intelligent unmanned car wash platform is connected to the control system of the intelligent car wash machine. The intelligent car wash machine control module is used to output the license plate number of the user port to the control system. The control system of the intelligent car wash machine identifies the user's vehicle and releases the user's vehicle after the license plate number is authenticated and enters the intelligent car wash machine. The comprehensive cleaning module is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine. After the first comprehensive cleaning is completed, the recognition system is activated to mark the residual stain positioning data of the vehicle and feed it back to the control system of the intelligent car wash machine. The secondary positioning cleaning module is used to build a residual stain analysis and processing model to integrate the residual stains to achieve secondary cleaning. After completion, the recognition system is restarted until the recognition system feeds back that the vehicle body is free of stains. The fee list monitoring module is used to generate a fee list and feed it back to the intelligent unmanned car wash platform after receiving the vehicle body free of stains signal fed back by the recognition system. After the user pays, a payment signal is generated and fed back to the control system of the intelligent car wash machine, and the control system releases the vehicle.

[0076] The output end of the intelligent unattended car washing module is connected to the input end of the intelligent car washing machine control module; the output end of the intelligent car washing machine control module is connected to the input end of the comprehensive cleaning module; the output end of the comprehensive cleaning module is connected to the input end of the secondary positioning cleaning module; the output end of the secondary positioning cleaning module is connected to the input end of the expense list monitoring module.

[0077] The intelligent car washing machine control module includes a license plate intelligent recognition unit and a feedback unit;

[0078] The license plate intelligent recognition unit is used to identify the license plate number of the user's vehicle and compare it with the license plate number in the control system. When the comparison is exactly the same, a feedback signal is generated; the feedback unit is used to feed the feedback signal back to the control system to enable the vehicle to enter;

[0079] The output end of the license plate intelligent recognition unit is connected to the input end of the feedback unit.

[0080] The comprehensive cleaning module includes a comprehensive cleaning unit and a marking unit;

[0081] The comprehensive washing unit is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine; the marking unit is used to start the recognition system after the first comprehensive washing is completed, mark the residual stain location data of the vehicle, and feed it back to the control system of the intelligent car wash machine;

[0082] The output end of the comprehensive cleaning unit is connected to the input end of the marking unit.

[0083] The secondary positioning and cleaning module includes a model building unit and a stain recognition unit;

[0084] The model building unit is used to build a residual stain analysis and processing model, integrate the residual stains, achieve secondary cleaning, and restart the recognition system after completion; the stain recognition unit is used to identify stains on the vehicle body and stops recognition when feedback indicates that there are no stains on the vehicle body;

[0085] The output end of the model building unit is connected to the input end of the stain identification unit.

[0086] The expense list monitoring module includes an expense list monitoring unit and a signal transmission unit;

[0087] The fee list monitoring unit is used to generate a fee list and feed it back to the intelligent unattended car wash platform after receiving the vehicle body stain-free signal fed back by the recognition system; the signal transmission unit is used to generate a payment signal and feed it back to the control system of the intelligent car wash machine after the user pays, so that the control system releases the vehicle;

[0088] The output end of the bill monitoring unit is connected to the input end of the signal transmission unit.

[0089] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A monitoring method for an intelligent unmanned car wash platform, characterized by: The method comprises the following steps: S1. Build an intelligent unmanned car wash platform, which is connected to a user port via the Internet to achieve data communication; S2. The intelligent unattended car wash platform connects to the control system of the intelligent car wash machine and outputs the license plate number of the user port to the control system. The control system of the intelligent car wash machine identifies the user's vehicle and allows the user's vehicle to enter the intelligent car wash machine after the license plate number is authenticated. S3. After the user's vehicle arrives at the marked location of the smart car wash machine, the smart car wash is started. After the first comprehensive wash is completed, the recognition system is started to mark the location data of the residual stains on the vehicle and feed it back to the control system of the smart car wash machine; S4, the control system of the intelligent car washing machine is connected to the car washing history database to form and The functional relationship between them, Refers to the distance between the water jet nozzle and the impact point of the vehicle body; Refers to the cleaning range radius, builds a residual stain analysis and processing model, integrates the residual stains, and implements secondary cleaning. After completion, the recognition system is restarted until the recognition system feedback shows that there is no stain on the vehicle body; S5. The control system of the smart car wash receives the signal from the recognition system indicating that the car body is free of stains, generates a fee list, and feeds it back to the smart unattended car wash platform. After the user pays, a payment signal is generated and fed back to the control system of the smart car wash machine, which then releases the vehicle. Specifically, it also includes: segmenting the current vehicle body to form a plurality of regions, and for any region, obtaining three-dimensional coordinate data of the position of the residual stain on the vehicle body in the region to form a regional three-dimensional coordinate data group; The residual stains in the area are integrated. That is, there are K body impact points, each of which forms a cleaning range. All the three-dimensional coordinate data sets of the area are within the formed cleaning range. Any cleaning range is considered a cluster. The three-dimensional coordinate data of each residual stain position is used as a sample. The K value is determined based on the elbow method. Set a minimum area square on the vehicle body that can accommodate all the data in the regional three-dimensional coordinate data set, and use the point within the minimum area square as the initial centroid selection; Randomly select K centroids, and use the distance between the centroid coordinate point and the water jet outlet as the distance between the water jet outlet and the impact point of the vehicle body. and The functional relationship between them forms the cleaning range radius, and then forms the cleaning range of K clusters. If the cleaning range formed by the K clusters can completely cover the regional three-dimensional coordinate data set, the coordinate data of the K centroids are written as a group and counted into the selection list; if not, reselect until the number of coordinate data sets in the selection list reaches the set threshold; Constructing a residual stain analysis and processing model: ； Among them, Y represents the sum of distances of any cluster; represents the sample number; e represents the total number of samples in the cluster; Represents any sample in the cluster; represents the centroid within the cluster; Calculate the sum of the Y values ​​of the K clusters, select the coordinate data of the K centroids corresponding to the smallest sum, and feed them back to the control system. Adjust the water jet gun to perform a second cleaning on the coordinate points of the K centroids. After completion, start the recognition system again until the recognition system feedback indicates that there is no stain on the car body.

2. The monitoring method of an intelligent unmanned car wash platform according to claim 1, characterized in that: The intelligent car washing machine includes all-round car washing and single-point car washing; The all-round car wash refers to using a sponge dipped in water to scrub the entire car body; the single-point car wash refers to using a jet water gun to clean a single point on the car body; The wet sponge and the water spray gun are both fixed on the intelligent car washing machine.

3. The monitoring method of an intelligent unmanned car wash platform according to claim 1, characterized in that: In step S3, a first full wash is performed using an all-around car wash; A three-dimensional coordinate system is constructed inside the intelligent car wash machine, and the recognition system is activated to scan the vehicle body, mark the location of residual stains on the vehicle, generate three-dimensional coordinate data, and feed it back to the control system of the intelligent car wash machine. The control system of the intelligent car washing machine is connected to the car washing history database, calling the historical car washing monitoring data to form a data group. The specific data group includes: the distance between the water jet outlet and the impact point of the car body, and the cleaning range radius; The distance between the water jet gun outlet and the impact point of the car body refers to the distance between the coordinates of the water jet gun outlet and the coordinates of the impact point of the car body during any single-point car wash in the historical car wash data. The car body impact point refers to the point of contact between the water flow and the car body. Clean historical car wash monitoring data, including: Selecting a water flow action area, where the water flow action area is the area of ​​a circle whose radius is the maximum distance between the coordinates of the impact point on the vehicle body and the splash point formed by the water flow on the vehicle body; The cleaning means selecting data on uncleaned stains within the water flow action area, and selecting the minimum distance between the uncleaned stains within the water flow action area and the coordinates of the impact point of the vehicle body as the cleaning range radius; Form several data groups, each group of data is written as , based on several data sets, to form and The functional relationship between them.

4. The monitoring method of an intelligent unmanned car wash platform according to claim 3, characterized in that: Also includes: Determine the K value based on the elbow method: ； in, Represents the core index value of the elbow method; i represents the serial number; K represents the total number of impact points on the vehicle body; P represents the i-th cluster The sample points in ; Represents the i-th cluster The sample mean in .

5. A monitoring system for an intelligent unmanned car wash platform, using the monitoring method for an intelligent unmanned car wash platform according to claim 1, characterized in that: The system includes: intelligent unattended car washing module, intelligent car washing machine control module, comprehensive cleaning module, secondary positioning cleaning module and expense list monitoring module; The intelligent unmanned car wash module is used to build an intelligent unmanned car wash platform. The intelligent unmanned car wash platform is connected to the user port via the Internet to achieve data communication. The intelligent unmanned car wash platform is connected to the control system of the intelligent car wash machine. The intelligent car wash machine control module is used to output the license plate number of the user port to the control system. The control system of the intelligent car wash machine identifies the user's vehicle and releases the user's vehicle after the license plate number is authenticated and enters the intelligent car wash machine. The comprehensive cleaning module is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine. After the first comprehensive cleaning is completed, the recognition system is activated to mark the residual stain positioning data of the vehicle and feed it back to the control system of the intelligent car wash machine. The secondary positioning cleaning module is used to build a residual stain analysis and processing model to integrate the residual stains to achieve secondary cleaning. After completion, the recognition system is restarted until the recognition system feeds back that the vehicle body is free of stains. The fee list monitoring module is used to generate a fee list and feed it back to the intelligent unmanned car wash platform after receiving the vehicle body free of stains signal fed back by the recognition system. After the user pays, a payment signal is generated and fed back to the control system of the intelligent car wash machine, and the control system releases the vehicle. The output end of the intelligent unattended car washing module is connected to the input end of the intelligent car washing machine control module; the output end of the intelligent car washing machine control module is connected to the input end of the comprehensive cleaning module; the output end of the comprehensive cleaning module is connected to the input end of the secondary positioning cleaning module; the output end of the secondary positioning cleaning module is connected to the input end of the expense list monitoring module.

6. The monitoring system for an intelligent unmanned car wash platform according to claim 5, characterized in that: The intelligent car washing machine control module includes a license plate intelligent recognition unit and a feedback unit; The license plate intelligent recognition unit is used to identify the license plate number of the user's vehicle and compare it with the license plate number in the control system. When the comparison is exactly the same, a feedback signal is generated; the feedback unit is used to feed the feedback signal back to the control system to enable the vehicle to enter; The output end of the license plate intelligent recognition unit is connected to the input end of the feedback unit.

7. The monitoring system for an intelligent unmanned car wash platform according to claim 5, characterized in that: The comprehensive cleaning module includes a comprehensive cleaning unit and a marking unit; The comprehensive washing unit is used to start the intelligent car wash after the user's vehicle reaches the marked position of the intelligent car wash machine; the marking unit is used to start the recognition system after the first comprehensive washing is completed, mark the residual stain location data of the vehicle, and feed it back to the control system of the intelligent car wash machine; The output end of the comprehensive cleaning unit is connected to the input end of the marking unit.

8. The monitoring system for an intelligent unmanned car wash platform according to claim 5, characterized in that: The secondary positioning and cleaning module includes a model building unit and a stain recognition unit; The model building unit is used to build a residual stain analysis and processing model, integrate the residual stains, achieve secondary cleaning, and restart the recognition system after completion; the stain recognition unit is used to identify stains on the vehicle body and stops recognition when feedback indicates that there are no stains on the vehicle body; The output end of the model building unit is connected to the input end of the stain identification unit.

9. The monitoring system for an intelligent unmanned car wash platform according to claim 5, characterized in that: The expense list monitoring module includes an expense list monitoring unit and a signal transmission unit; The expense list monitoring unit is used to generate an expense list and feed it back to the intelligent unattended car washing platform upon receiving the vehicle body stain-free signal fed back by the recognition system; The signal transmission unit is used to generate a payment signal and feed it back to the control system of the intelligent car washing machine after the user pays, so that the control system can release the vehicle; The output end of the bill monitoring unit is connected to the input end of the signal transmission unit.

Images