A distributed processing system of big data on a cloud platform

Abstract

The application discloses a kind of big data distributed processing system on cloud platform, including information collection module, cleaning analysis processing module and distributed processing control module, the information collection module is used to collect the data related to the condition of current car wash vehicle and vehicle condition, the cleaning analysis processing module is used to analyze the cleaning situation of vehicle dirty position in the process of cleaning car body, the distributed processing control module is used to distribute cleaning spray head water pressure according to cleaning analysis processing result, the information collection module is electrically connected with cleaning analysis processing module, the cleaning analysis processing module is electrically connected with distributed processing control module, the application has the characteristics of high processing efficiency and strong practicability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data, and particularly relates to a distributed processing system of big data on a cloud platform. BACKGROUND

[0002] Nowadays, a large number of family cars are kept, and car washing has become an indispensable industry in every city. With the development of the Internet of Things, car washing has gradually entered the full-automatic mode. The non-contact full-automatic car washing machine is popular in the market because it can rotate continuously by 360 degrees, has high cleaning efficiency, and will not cause damage to the car paint.

[0003] The existing non-contact full-automatic car washing machine needs to have sufficient water pressure to achieve high cleaning degree under the premise of no wiping. However, a plurality of groups of high-pressure spray heads need to be arranged on the spray rod to wash the car body in all directions at the same time. Because of the multiple water outlets and high water pressure requirements, the total water pressure needs to be quite high. When facing stubborn stains on the car body, the water pressure is difficult to meet the requirements of local stubborn stains, resulting in poor car washing effect and the need for manual secondary cleaning. Therefore, it is necessary to design a distributed processing system of big data on a cloud platform which has high processing efficiency and strong practicability. SUMMARY

[0004] The present application relates to the technical field of big data, and particularly relates to a distributed processing system of big data on a cloud platform.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: a distributed processing system of big data on a cloud platform, comprising an information collection module, a cleaning analysis processing module and a distributed processing control module, the information collection module is used for collecting data related to the vehicle condition and vehicle use of the current car washing vehicle, the cleaning analysis processing module is used for analyzing the cleaning condition of the dirty position of the vehicle during the cleaning of the car body, and the distributed processing control module is used for distributedly controlling the water pressure of the cleaning spray head according to the cleaning analysis processing result, the information collection module is electrically connected with the cleaning analysis processing module, and the cleaning analysis processing module is electrically connected with the distributed processing control module.

[0006] According to the above technical scheme, the information collection module comprises a cleaning record database, a vehicle use environment classification module and a monitoring acquisition module, the cleaning record database is used for identifying the historical cleaning vehicle data stored by the current vehicle, the vehicle use environment classification module is used for acquiring the main vehicle use environment of the vehicle owner, and the monitoring acquisition module is used for synchronously acquiring the monitoring pictures shot during the automatic spray cleaning process.

[0007] According to the technical scheme, the cleaning analysis processing module comprises a position calibration module, a special area marking module, a cleaning mode analysis and judgment module and a monitoring picture analysis module, the position calibration module is used for calibrating the position of the vehicle in the monitoring collection picture and the position of each spray head washing point, the special area marking module is used for marking the special area of the calibrated monitoring picture according to historical cleaning data, the cleaning mode analysis and judgment module is used for analyzing and judging the mode selection of the vehicle global cleaning, and the monitoring picture analysis module is used for analyzing the specific monitoring picture in the cleaning process.

[0008] According to the technical scheme, the distributed processing control module comprises a cleaning mode selection module and a spray head pressurization module, the cleaning mode selection module is used for controlling the selection of the cleaning mode of the automatic car washing, and the spray head pressurization module is used for the real-time pressurization control of the spray head according to the analysis processing signal.

[0009] According to the technical scheme, the monitoring picture analysis module further comprises an image gray processing submodule, a feature area signal feedback submodule and a judgment submodule, the image gray processing submodule is used for gray processing the monitoring picture image and outputting the gray value in real time, the feature area signal feedback submodule is used for acquiring the feature area picture signal feedback and analyzing the feature area change condition, and the judgment submodule is used for discriminating and judging the feature area according to the analysis condition.

[0010] According to the technical scheme, the operation method of the distributed processing system comprises the following steps:

[0011] Step S1: when the vehicle is parked, the information collection module is started after the automatic car washing machine is started, the historical car washing data, the vehicle environment and the vehicle picture are collected and retrieved, and the vehicle picture is collected and retrieved;

[0012] Step S2: the cleaning analysis processing module starts reading the system collection data;

[0013] Step S3: the collected data is processed, and the cleaning mode and the monitoring picture in the cleaning process are analyzed and judged;

[0014] Step S4: the distributed processing control module selects the car washing mode of the automatic car washing machine and pressurizes the spray head in real time according to the analysis and judgment result.

[0015] According to the technical scheme, the step S1 further comprises the following steps:

[0016] Step S11: By identifying the license plate information, the vehicle's cleaning record database in the system is called to obtain the last record cleaning time, historical cleaning mode selection and historical marked area position in the vehicle body through the cleaning record database;

[0017] Step S12: Then the main vehicle environment category selected by the user is obtained through the vehicle environment classification module, wherein the main vehicle environment category includes: urban road commuting, national road / highway vehicle, town / complex environment vehicle;

[0018] Step S13: Finally, the monitoring collection module starts to run and performs global and detailed picture collection.

[0019] According to the above technical solution, the step S3 further comprises the following steps:

[0020] Step S31: When starting full-automatic cleaning of the vehicle, the top, bottom and middle three points on the center line of the vehicle body are marked by the position marking module, and then the mobile device is controlled to make the top, bottom and middle three points in the global picture coincide with the marked positions;

[0021] Step S32: The position of the historical marked area in the vehicle body in the information collection module is obtained, and then the position of the historical marked area in the vehicle body is marked with the corresponding position of the monitoring picture according to the current vehicle body and the marked position of the monitoring picture;

[0022] Step S33: The cleaning mode analysis and judgment module is started, the data of the information collection module is called, and the judgment results of the first, second and third cleaning modes are given according to the analysis, wherein the water pressure increases gradually;

[0023] Step S34: Finally, according to the judgment result, the electric signal is output to the distributed processing control module, the distributed processing control module selects the global cleaning mode through the cleaning mode selection module, and starts the full-automatic car washer to clean according to the selected global cleaning mode;

[0024] Step S35: The monitoring picture analysis module analyzes the picture during cleaning in real time, and the analysis and judgment result electric signal is also transmitted to the distributed processing control module, and the distributed processing control module dynamically adjusts the corresponding spray head to increase the spray water pressure through the spray head pressure increasing module;

[0025] In step S34, when the selected global cleaning mode is the third cleaning mode, the distributed processing control module controls all spray heads to be opened in an interval mode, and an additional round of flushing is performed, and the second round is complementary to only open the spray heads not opened in the first round.

[0026] According to the above technical solution, the step S33 further comprises the following steps:

[0027] Step S331: Obtain the historical cleaning mode, and select the cleaning mode with the most usage times as the preliminary analysis result output;

[0028] Step S332: The system sets the cleaning interval period corresponding to the first cleaning mode, the second cleaning mode and the third cleaning mode, which are (0, T), [T, 2T] and (2T, +∞) respectively. Then, according to the last record cleaning time in the cleaning record database, the current cleaning interval period t is obtained and compared with the system set cleaning interval period. After judging that it falls into the corresponding cleaning mode interval period, the current corresponding cleaning mode is output as the secondary analysis result.

[0029] Step S333: Finally, the user's current selected vehicle environment category is called. When the vehicle environment is urban road commuting, the first cleaning mode is analyzed and judged. When the vehicle environment is national road / highway driving, the second cleaning mode is analyzed and judged. When the vehicle environment is township / complex environment driving, the third cleaning mode is analyzed and judged.

[0030] Step S334: In steps S331-S333, the highest level cleaning mode in each analysis output result is selected as the final analysis and judgment result output.

[0031] According to the above technical solution, the step S35 further comprises the following steps:

[0032] Step S351: Perform gray scale processing on the detail picture during the washing process, and output the gray scale value in real time;

[0033] Step S352: After the local washing is completed, if the error between the gray scale value and the historical data gray scale value of the vehicle body is greater than a preset number r, the identified area is taken as a feature area. If the feature area and the historical marked area coincide in position on the vehicle body, the feature area is canceled.

[0034] Step S353: For the feature area, the electric signal controls the nozzle pressurization module to pressurize and spray the shower head corresponding to the position of the feature area after position calibration;

[0035] Step S354: During the local pressurized washing, the feature area picture analysis is repeated simultaneously. If the area feedback by the feature area signal is continuously decreasing, the pressurized washing and spraying continue. If the area feedback by the feature area signal has not changed after the pressurized washing time threshold, the sub-module judges that the area is a new marked area and stores it in the cleaning record database.

[0036] Compared with the prior art, the present application has the beneficial effects that: the present application can judge the whole vehicle washing water pressure demand through big data analysis in the fully automatic washing process, and further monitor the vehicle body detail washing condition when the whole vehicle washing water pressure demand is met, and judge whether the vehicle body local stubborn stains need to be washed with targeted pressure according to the monitoring and analysis results, so as to finally realize the distributed analysis and processing of the car washing process and the control of the car washing program, and achieve the effects of efficient cleaning and meeting the deep cleaning water pressure. BRIEF DESCRIPTION OF DRAWINGS

[0037] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application, and are used to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0038] Figure 1 is a schematic diagram of the system module of the present application. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0040] Please refer to Figure 1 The present application provides a technical solution: a distributed processing system of big data on a cloud platform, which comprises an information collection module, a cleaning analysis processing module and a distributed processing control module, the information collection module is used to collect data related to the vehicle condition and vehicle use condition of the current car washing vehicle, the cleaning analysis processing module is used to analyze the cleaning condition of the vehicle dirty position during the cleaning of the vehicle body, and the distributed processing control module is used to distribute the water pressure of the cleaning spray head according to the cleaning analysis processing result, the information collection module is electrically connected with the cleaning analysis processing module, and the cleaning analysis processing module is electrically connected with the distributed processing control module.

[0041] The information collection module comprises a cleaning record database, a vehicle use environment classification module and a monitoring and collecting module, the cleaning record database is used to identify the historical cleaning vehicle data stored by the current vehicle, the vehicle use environment classification module is used to collect the main vehicle use environment of the vehicle owner, and the monitoring and collecting module is used to synchronously collect the monitoring pictures taken during the automatic spray cleaning process.

[0042] The cleaning analysis processing module comprises a position calibration module, a special area marking module, a cleaning mode analysis and judgment module, and a monitoring picture analysis module. The position calibration module is used to calibrate the position of the vehicle in the monitoring and collecting picture and the position of each spray head washing point. The special area marking module is used to mark the special area of the monitoring picture after calibration according to the historical cleaning data. The cleaning mode analysis and judgment module is used to analyze and judge the mode selection of the global cleaning of the vehicle. The monitoring picture analysis module is used to analyze the specific monitoring picture in the cleaning process.

[0043] The distributed processing control module comprises a cleaning mode selection module and a spray head pressurization module. The cleaning mode selection module is used to control the selection of the cleaning mode of the automatic car washing machine. The spray head pressurization module is used to control the real-time pressurization of the spray head according to the analysis processing signal.

[0044] The monitoring picture analysis module further comprises an image gray processing submodule, a feature area signal feedback submodule, and a judgment submodule. The image gray processing submodule is used to perform gray processing on the monitoring picture image and output the gray value in real time. The feature area signal feedback submodule is used to obtain the feature area picture signal feedback and analyze the change condition of the feature area. The judgment submodule is used to distinguish and judge the feature area according to the analysis condition.

[0045] The operation method of the distributed processing system comprises the following steps:

[0046] Step S1: When the vehicle is parked and the full-automatic car washing machine is started, the information collection module is operated to start collecting and calling the historical car washing data, the vehicle environment, and the vehicle picture of the vehicle.

[0047] Step S2: The cleaning analysis processing module starts reading the system collected data.

[0048] Step S3: The collected data is processed, and the cleaning mode and the monitoring picture in the cleaning process are analyzed and judged.

[0049] Step S4: The distributed processing control module selects the car washing mode of the full-automatic car washing machine and pressurizes the spray head that needs to be pressurized in real time according to the analysis and judgment result.

[0050] Step S1 further comprises the following steps:

[0051] Step S11: The cleaning record database of the vehicle in the system is called by recognizing the license plate information. The last record cleaning time, the historical cleaning mode selection, and the position of the historical marked area in the vehicle body are obtained through the cleaning record database.

[0052] Step S12: Then the main vehicle environment category selected manually by the user is obtained by the vehicle environment classification module, wherein the main vehicle environment category includes: urban road commuting, national road / highway vehicle, town / complex environment vehicle;

[0053] Step S13: Finally, the monitoring acquisition module starts running to perform global and detailed picture acquisition.

[0054] Step S3 further includes the following steps:

[0055] Step S31: When starting full-automatic cleaning of the vehicle, the top, bottom and middle three points on the center line of the vehicle body are calibrated by the position calibration module, and then the mobile device is controlled so that the top, bottom and middle three points in the global picture coincide with the calibrated positions, thereby laying a foundation for distributed analysis and control of the spray head pressure injection;

[0056] Step S32: The position of the historical marked area in the vehicle body in the information collection module is obtained, and then the position of the historical marked area in the vehicle body is marked with the corresponding position of the monitoring picture according to the current vehicle body and the calibrated position of the monitoring picture;

[0057] Step S33: The cleaning mode analysis and judgment module is started, the data of the information collection module is called, and the judgment results of the first, second and third cleaning modes are given according to the analysis, wherein the water pressure increases gradually;

[0058] Step S34: Finally, according to the judgment result, an electric signal is output to the distributed processing control module, the distributed processing control module selects the global cleaning mode through the cleaning mode selection module, and starts the full-automatic car washer to clean according to the selected global cleaning mode;

[0059] Step S35: The monitoring picture analysis module analyzes the picture during cleaning in real time, and an electric signal of the analysis and judgment result is transmitted to the distributed processing control module, and the distributed processing control module dynamically adjusts the corresponding spray head to increase the spray water pressure through the spray head pressure module;

[0060] In step S34, when the selected global cleaning mode is the third cleaning mode, the distributed processing control module controls all spray heads to be opened in an interval mode, and an additional round of flushing is performed, and the second round is complementary to only open the spray heads that are not opened in the first round; thereby realizing that in the case of full load, the total water pressure can still provide sufficient water pressure for subsequent local pressure processing, and the interval voltage is flushed to realize the maximum efficient operation and the guarantee effect of deep cleaning ability.

[0061] Step S33 further includes the following steps:

[0062] Step S331: Obtain the historical cleaning mode, and select the cleaning mode with the most usage times as the preliminary analysis result output;

[0063] Step S332: The system sets the cleaning interval period corresponding to the first cleaning mode, the second cleaning mode and the third cleaning mode respectively, which are (0, T), [T, 2T] and (2T, +∞) respectively. Then, according to the last record cleaning time in the cleaning record database, the current cleaning interval period t is obtained, and compared with the system set cleaning interval period, it is judged whether it falls into the interval period corresponding to the cleaning mode. After that, the current corresponding cleaning mode is output as the secondary analysis result.

[0064] Step S333: Finally, the user's current selected vehicle environment category is called. When the vehicle environment is urban road commuting, the first cleaning mode is analyzed and judged. When the vehicle environment is national road / highway driving, the second cleaning mode is analyzed and judged. When the vehicle environment is township / complex environment driving, the third cleaning mode is analyzed and judged. When the user's vehicle environment is mainly urban road commuting, the vehicle body dirt analysis is mainly dust adsorption, and the adhesion is small. Through the small water pressure of the first cleaning mode, the cleaning can be ensured. When the user's vehicle environment is mainly national road / highway driving, the road conditions are uneven and the speed is generally high, which can splash water stains on the vehicle body. The vehicle body dirt is mainly dust, a small amount of mud and sewage stains, etc. The cleaning difficulty is moderate, and the water pressure is increased. The washing intensity is improved to ensure the overall cleaning of the vehicle. Finally, when the vehicle environment is township / complex environment, the vehicle body dirt is mainly dust, a large amount of mud, bird droppings, tree leaf secretions and other complex mixed stubborn stains. The cleaning difficulty is uncontrollable, and the general difficulty is high. Therefore, the third cleaning mode is analyzed and judged for overall cleaning.

[0065] Step S334: In steps S331-S333, the highest level of cleaning mode in each analysis output result is selected as the total analysis and judgment result output. Through the above steps, the water pressure demand of the overall vehicle washing in multiple category scenarios can be distributedly processed, the global washing mode can be intelligently and automatically selected, and the total water pressure can be intelligently guaranteed not to be reduced by excessive demand under the premise of fully meeting the cleaning cleanliness, so as to achieve efficient cleaning effect.

[0066] Step S35 further comprises the following steps:

[0067] Step S351: Perform gray scale processing on the detail picture in the washing process, and output the gray scale value in real time;

[0068] Step S352: after the local flushing is completed, if the error between the gray value and the historical data gray value of the vehicle body is greater than a preset number r, the identification area is taken as a feature area, and if the feature area coincides with the historical marking area in the vehicle body, the determination of the feature area is cancelled; through the setting of the historical marking area, the damaged points, painting positions and other areas of the vehicle which are prone to cause misanalysis in the cleaning analysis process can be quickly screened, the repeated analysis process of the area is reduced, and the necessity of local jet pressure flushing in the area is reduced, so that the high-efficiency analysis and processing effect is realized.

[0069] Step S353: for the feature area, the electric signal controls the spray head pressure module to pressurize and spray the spray head corresponding to the position calibrated feature area picture position;

[0070] Step S354: during the local pressurized flushing, the feature area picture analysis is repeatedly performed, when the feature area signal feedback area continuously changes, the pressurized flushing is continuously performed, and when the feature area signal feedback area does not change after the pressurized flushing time threshold, the feature area signal feedback area is determined as a new marking area by the sub-module, and is stored in the cleaning record database; in the full-automatic washing process, the whole vehicle washing water pressure demand can be determined through big data analysis, and when the whole vehicle washing water pressure demand is met, the vehicle body detail flushing condition is further monitored, whether the vehicle body local stubborn stains need to be pressurized and washed is determined according to the monitoring analysis result, and finally the distributed analysis and processing washing process and the control washing program effect are realized, so that the high-efficiency cleaning and the deep cleaning water pressure effect are achieved.

[0071] It should be noted that in this text, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between the entities or operations. Moreover, the term “includes”, “contains” or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0072] Finally, it should be noted that: the above only describes the preferred embodiments of the present application, and is not used to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, and those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A distributed processing system of big data on a cloud platform, characterized in that: The system comprises The information collection module is used for collecting data related to the vehicle condition and vehicle use of the current car washing vehicle, the cleaning analysis processing module is used for analyzing the cleaning condition of the vehicle dirty position during the cleaning of the vehicle body, and the distributed processing control module is used for distributedly controlling the water pressure of the cleaning spray head according to the cleaning analysis processing result; the information collection module is electrically connected with the cleaning analysis processing module, and the cleaning analysis processing module is electrically connected with the distributed processing control module; The operation method of the distributed processing system comprises the following steps: Step S1: when the vehicle parking is completed, the information collection module is started after the full-automatic car washing machine is started, and the historical car washing data of the vehicle, the vehicle environment and the vehicle picture are collected and retrieved; Step S2: the cleaning analysis processing module starts to read the system collected data; Step S3: the collected data is processed, and the cleaning mode and the monitoring picture during the cleaning process are analyzed and judged; Step S4: the distributed processing control module selects the car washing mode of the full-automatic car washing machine in real time according to the analysis and judgment result, and pressurizes the spray head which needs to be pressurized locally; The step S3 further comprises the following steps: Step S31: when the full-automatic cleaning of the vehicle is started, the top, bottom and middle three points on the center line of the vehicle body are calibrated through the position calibration module, and then the mobile device is controlled so that the top, bottom and middle three points in the global picture coincide with the calibrated positions; Step S32: the position of the historical marked area in the vehicle body in the information collection module is obtained, and then the position of the historical marked area in the vehicle body is marked according to the position of the monitoring picture calibrated according to the current vehicle body and the monitoring picture; Step S33: the cleaning mode analysis and judgment module is started, the data of the information collection module is retrieved, and the judgment results of the first cleaning mode, the second cleaning mode and the third cleaning mode are given according to the analysis, wherein the water pressure increases gradually; Step S34: finally, the electrical signal is output to the distributed processing control module according to the judgment result, the distributed processing control module selects the global cleaning mode through the cleaning mode selection module, and starts the full-automatic car washing machine to clean according to the selected global cleaning mode; Step S35: the monitoring picture analysis module analyzes the picture during the cleaning in real time, and the analysis and judgment result electrical signal is also transmitted to the distributed processing control module, and the distributed processing control module dynamically adjusts the corresponding spray head to increase the spray water pressure through the spray head pressurization module; In step S34, when the selected global cleaning mode is the third cleaning mode, the distributed processing control module controls all the spray heads to be opened in an interval mode, and an additional round of flushing is performed, and the second round is complementary to only open the spray heads which are not opened in the first round. 2.The distributed processing system of big data on cloud platform of claim 1, wherein: The information collection module comprises a cleaning record database, a vehicle environment classification module and a monitoring acquisition module, the cleaning record database is used for identifying historical cleaning data of the current vehicle, the vehicle environment classification module is used for acquiring the main vehicle environment of the vehicle owner, and the monitoring acquisition module is used for synchronously acquiring the monitoring pictures during the automatic spray cleaning process. 3.The distributed processing system of big data on cloud platform according to claim 2, characterized in that: The cleaning analysis processing module comprises a position calibration module, a special area marking module, a cleaning mode analysis and judgment module and a monitoring picture analysis module, the position calibration module is used for calibrating the position of the vehicle in the monitoring acquisition picture and the position of each spray head washing point, the special area marking module is used for marking the special area of the calibrated monitoring picture according to the historical cleaning data, the cleaning mode analysis and judgment module is used for analyzing and judging the mode selection of the vehicle global cleaning, and the monitoring picture analysis module is used for analyzing the specific monitoring picture during the cleaning process.

4. The distributed processing system of big data on cloud platform according to claim 3, characterized in that: The distributed processing control module comprises a cleaning mode selection module and a spray head pressurization module, the cleaning mode selection module is used for controlling the selection of the cleaning mode of the automatic car washing, and the spray head pressurization module is used for controlling the real-time pressurization of the spray head according to the analysis processing signal.

5. The distributed processing system of big data on cloud platform according to claim 4, characterized in that: The monitoring picture analysis module further comprises an image gray processing submodule, a feature area signal feedback submodule and a judgment submodule, the image gray processing submodule is used for performing gray processing on the monitoring picture image and outputting the gray value in real time, the feature area signal feedback submodule is used for acquiring the feature area picture signal feedback and analyzing the change condition of the feature area, and the judgment submodule is used for discriminating and judging the feature area according to the analysis condition. 6.The distributed processing system of big data on cloud platform of claim 1, wherein: The step S1 further comprises the following steps: Step S11: by identifying the license plate information, the cleaning record database of the vehicle in the system is called, the last record cleaning time, the historical cleaning mode selection and the position of the historical marked area in the vehicle body are acquired through the cleaning record database; Step S12: then the main vehicle environment category selected manually by the user is acquired through the vehicle environment classification module, wherein the main vehicle environment category comprises: urban road commuting, national highway / highway vehicle, town / complex environment vehicle; Step S13: finally, the monitoring acquisition module starts to run and performs global and detailed picture acquisition. 7.The distributed processing system of big data on cloud platform of claim 1, wherein: The step S33 further comprises the following steps: Step S331: the historical cleaning mode is acquired, and the cleaning mode with the most use times of the historical cleaning mode is selected as the preliminary analysis result output; Step S332: the system sets the cleaning interval period corresponding to the first cleaning mode, the second cleaning mode and the third cleaning mode, which are (0, T), [T, 2T] and (2T, +∞) respectively, then the current cleaning interval period t is obtained according to the last record cleaning time in the cleaning record database, and the current cleaning interval period t is compared with the system setting cleaning interval period, the corresponding cleaning mode is judged to fall into the interval period, and the corresponding cleaning mode is output as the secondary analysis result. Step S333: Finally, the user's current selected vehicle environment category is called, when the vehicle environment is urban road commuting, the analysis and judgment is first-class cleaning mode, when the vehicle environment is national highway / highway, the analysis and judgment is second-class cleaning mode, when the vehicle environment is township / complex environment, the judgment is third-class cleaning mode; Step S334: In steps S331-S333, the highest level of cleaning mode in each analysis output result is selected as the total analysis and judgment result output. 8.The distributed processing system of big data on cloud platform according to claim 1, characterized in that: The step S35 further comprises the following steps: Step S351: The detail picture in the washing process is processed by gray scale, and the gray value is output in real time; Step S352: After the local washing is completed, when the error between the gray value and the historical data gray value of the vehicle body is greater than the preset number r, the recognition area is taken as the feature area, and when the feature area and the historical marked area coincide in position in the vehicle body, the determination of the feature area is cancelled; Step S353: For the feature area, the electric signal controls the nozzle pressurization module to pressurize and spray the shower head corresponding to the position of the feature area picture after position calibration; Step S354: During the local pressurized washing, the feature area picture analysis is repeated, when the area fed back by the feature area signal is continuously changing, the pressurized washing and spraying continue, and when the area fed back by the feature area signal does not change after the pressurized washing time threshold, the area is judged as a new marked area by the judgment sub-module, and is stored in the cleaning record database.

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