An efficient comprehensive detection system for automobiles

Abstract

The invention discloses an efficient comprehensive automobile detection system, and relates to the technical field of automobile detection. The invention comprises an automobile information collection module, a cleanliness analysis module, a maintenance situation analysis module, an exhaust gas detection module, a maintenance result generation and sending module, and a database. By collecting automobile information, it is analyzed whether a tested vehicle needs to be cleaned, and whether the appearance and the engine need to be repaired, and a maintenance document corresponding to the tested vehicle is generated and sent to a user terminal of a corresponding owner of the tested vehicle, so that the customer can judge whether the automobile maintenance is needed after understanding, avoid the economic disputes that may occur in the subsequent maintenance, and avoid the influence on the daily life of the customer during the maintenance, thereby improving the user's automobile maintenance experience, increasing the user's understanding of the vehicle maintenance project, and making the automobile maintenance price transparent.

Description

Technical Field

[0001] The invention relates to the technical field of automobile detection, and in particular to a high-efficiency comprehensive detection system for automobiles. Background Art

[0002] With the advancement of modern science and technology, the rapid development of the economy, and the improvement of people's living standards, the number of cars has continued to rise, and the comprehensive inspection content related to cars has become increasingly complex. When car repair shops conduct comprehensive car inspections, customers need to have a detailed understanding of the car's condition. Therefore, it is necessary to analyze the specific circumstances of car repairs.

[0003] In the current automobile inspection, only the automobile maintenance condition is inspected, and there is no comprehensive estimate of the automobile maintenance price. Therefore, the analysis of the automobile is relatively superficial, which may cause unnecessary economic disputes. Customers cannot fully and detailedly understand the automobile maintenance condition before the repair shop inspects the automobile. The repair shop also does not send the inspection report to the user's mobile phone so that the customer can understand it and judge whether the car needs repair. This may affect the customer's daily travel and other life conditions, thereby reducing the customer experience. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an efficient comprehensive automobile detection system, which alleviates the severity of atmospheric environmental problems such as greenhouse effect, ozone layer depletion and acid rain, and has a beneficial effect on the health of humans, animals and plants.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an efficient comprehensive automobile detection system, including an automobile information acquisition module, which is used to acquire images of a vehicle to be tested through a camera, arrange a number of acquisition points in the vehicle to be tested, and obtain the hue, brightness, saturation corresponding to each acquisition point in the vehicle to be tested and the model corresponding to the vehicle to be tested from the image of the vehicle to be tested;

[0006] The cleanliness analysis module is used to calculate the color deviation coefficient of the vehicle to be tested based on the hue, brightness and saturation of each collection point of the vehicle to be tested, and then judge whether the vehicle to be tested needs to be cleaned based on the color deviation coefficient of the vehicle to be tested. If the vehicle to be tested needs to be cleaned, the corresponding cleaning level of the vehicle to be tested is analyzed, so as to evaluate the cleaning price and cleaning cycle corresponding to the vehicle to be tested;

[0007] The maintenance situation analysis module is used to calculate the appearance damage level coefficient of the vehicle under test based on the image corresponding to the vehicle under test, and determine whether the vehicle under test needs appearance repair. If the vehicle under test needs repair, the appearance damage level of the vehicle under test is analyzed, so as to evaluate the appearance repair price and appearance repair cycle of the vehicle under test;

[0008] The exhaust gas detection module is used to obtain the emissions of carbon monoxide, nitrogen oxides and sulfur dioxide of the vehicle under test, and determine whether the vehicle under test needs engine maintenance. If the vehicle under test needs engine maintenance, the engine maintenance level corresponding to the vehicle under test is analyzed, so as to evaluate the engine maintenance price and engine maintenance cycle corresponding to the vehicle under test;

[0009] The maintenance result generation and sending module is used to generate the maintenance document corresponding to the vehicle to be tested according to the cleaning price, cleaning cycle, appearance maintenance price, appearance maintenance cycle, engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested, and then send it to the user terminal of the corresponding owner of the vehicle to be tested.

[0010] The database is used to store the reference values ​​of hue, brightness and saturation of the standards corresponding to the tested vehicle, and store the vehicle model, cleaning level, cleaning price, cleaning cycle, cleaning time, appearance damage level, appearance repair price and appearance repair cycle corresponding to each historical repair.

[0011] Preferably, the specific judging process of judging whether the vehicle to be tested needs to be cleaned is as follows:

[0012] Substitute the hue, brightness and saturation of each collected point of the vehicle to be tested into the calculation formula The color deviation coefficient of the vehicle to be tested is obtained, where A i , B i , C i are the reference values ​​of hue, brightness and saturation of the i-th collection point of the vehicle to be tested stored in the database, i represents the number corresponding to each collection point, i=1, 2, 3...n, ΔA, ΔB, ΔC are the preset allowable differences of hue, brightness and saturation, respectively, A i ′、B i ′、C i ′ are the hue, brightness and saturation corresponding to the i-th acquisition point of the vehicle to be tested, τ 1 , τ 2 , τ 3 They are the weight factors corresponding to hue, brightness and saturation respectively;

[0013] The deviation degree coefficient corresponding to the vehicle to be tested is compared with the preset deviation degree coefficient threshold. If the deviation degree coefficient corresponding to the vehicle to be tested is greater than the preset deviation degree coefficient threshold, it is judged that the vehicle to be tested does not need to be cleaned; if the deviation degree coefficient corresponding to the vehicle to be tested is less than or equal to the preset deviation degree coefficient threshold, it is judged that the vehicle to be tested needs to be cleaned.

[0014] Preferably, the analysis obtains the cleanliness level corresponding to the vehicle to be tested, and the specific analysis process is as follows:

[0015] The color deviation coefficient corresponding to the vehicle to be tested is compared with the color deviation coefficient corresponding to each set cleaning level. If the color deviation coefficient corresponding to the vehicle to be tested is the same as the color deviation coefficient corresponding to a certain cleaning level, the cleaning level is used as the cleaning level corresponding to the vehicle to be tested.

[0016] Preferably, the cleaning price and cleaning cycle corresponding to the vehicle to be tested are evaluated, and the specific confirmation process is as follows:

[0017] Obtain the vehicle model, cleaning level, cleaning price, cleaning cycle and cleaning time corresponding to each historical maintenance from the database;

[0018] Compare the model corresponding to the vehicle to be tested with the vehicle model corresponding to each historical maintenance. If the model corresponding to the vehicle to be tested is the same as the vehicle model corresponding to a certain historical maintenance, use the historical maintenance as a reference historical maintenance corresponding to the vehicle to be tested, thereby obtaining each reference historical maintenance corresponding to the vehicle to be tested, and then compare the cleaning level corresponding to the vehicle to be tested with the cleaning level corresponding to each reference historical maintenance. If the cleaning level corresponding to the vehicle to be tested is the same as the cleaning level corresponding to a certain reference historical maintenance, use the reference historical maintenance as the reference maintenance, and use the cleaning price, cleaning cycle and cleaning time corresponding to the cleaning level of the reference maintenance as the reference cleaning price, reference cleaning cycle and reference cleaning time corresponding to the vehicle to be tested, thereby obtaining each reference cleaning price, each reference cleaning cycle and each reference cleaning time corresponding to the vehicle to be tested;

[0019] By calculating the formula Get the cleaning price growth rate corresponding to the vehicle to be tested, where K is the cleaning price growth rate corresponding to the vehicle to be tested, Q j is the reference cleaning price corresponding to the jth reference maintenance, j is the number corresponding to each reference maintenance, j = 1, 2, 3...m, T j is the cleaning time corresponding to the jth reference maintenance, T j-1 is the cleaning time corresponding to the j-1th reference maintenance, Q j-1 is the reference cleaning price corresponding to the j-1th reference repair, m represents the total number of reference repairs, and γ is the correction factor for the growth rate of the cleaning price;

[0020] According to the calculation formula Q = Q m (1+K), and get the cleaning price corresponding to the vehicle to be tested, where Q m is the cleaning price corresponding to the mth reference repair, Q is the cleaning price corresponding to the vehicle to be tested, and the cleaning price corresponding to the vehicle to be tested is obtained;

[0021] The cleaning cycle corresponding to the vehicle to be tested is obtained by calculating the mean of each reference cleaning cycle.

[0022] Preferably, the analysis of the appearance damage level of the vehicle to be tested is carried out in the following specific analysis process:

[0023] The total dent area and total damaged area are obtained from the corresponding image of the vehicle to be tested, and the calculation formula is used Get the appearance damage level coefficient corresponding to the vehicle to be tested, where S is the set reference dent area, S 1 represents the total dent area corresponding to the vehicle to be tested, S′ is the set reference damage area, S 2 Represents the total damaged area corresponding to the vehicle to be tested, σ 1 , σ 2 are the set concave area and the weight factor corresponding to the area respectively;

[0024] The appearance damage degree coefficient corresponding to the vehicle to be tested is compared with the preset appearance damage degree coefficient threshold. If the appearance damage degree coefficient corresponding to the vehicle to be tested is greater than the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested needs repair; if the appearance damage degree coefficient corresponding to the vehicle to be tested is less than or equal to the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested does not need repair.

[0025] Preferably, the evaluation of the appearance repair price and appearance repair cycle corresponding to the vehicle to be tested is carried out in the following specific evaluation process:

[0026] The appearance damage grade coefficient corresponding to the vehicle to be tested is compared with the appearance damage grade coefficient corresponding to each set maintenance grade. If the appearance damage grade coefficient corresponding to the vehicle to be tested is the same as the appearance damage grade coefficient corresponding to a certain maintenance grade, then the maintenance grade is used as the maintenance grade corresponding to the vehicle to be tested.

[0027] The appearance damage grade, appearance repair price and appearance repair cycle corresponding to each reference historical repair are obtained from the database, and the appearance repair price and appearance repair cycle corresponding to the vehicle to be tested are calculated according to the calculation method of the cleaning price and cleaning cycle corresponding to the vehicle to be tested.

[0028] Preferably, the analysis of the engine operation evaluation coefficient corresponding to the vehicle to be tested is specifically performed as follows:

[0029] By calculating the formula Get the engine operation evaluation coefficient corresponding to the vehicle to be tested, where α represents the engine operation evaluation coefficient corresponding to the vehicle to be tested, Y 1 ′、Y 2 ′、Y 3 ′ are the set allowable emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively, and Y 1 , Y 2 , Y 3are the emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively. They are the weight factors corresponding to carbon monoxide, nitrogen oxides and sulfur dioxide emissions respectively.

[0030] Preferably, the specific judging process of judging whether the vehicle to be tested needs engine maintenance is as follows:

[0031] The engine operation evaluation coefficient corresponding to the vehicle to be tested is compared with the set engine operation evaluation coefficient threshold. If the engine operation evaluation coefficient corresponding to the vehicle to be tested is less than the set engine operation evaluation coefficient threshold, it is judged that the engine needs maintenance; if the engine operation evaluation coefficient corresponding to the vehicle to be tested is greater than or equal to the set engine operation evaluation coefficient threshold, it is judged that the engine does not need maintenance.

[0032] Preferably, the maintenance level corresponding to the vehicle to be tested is determined, and then the engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested are evaluated. The specific determination process is as follows:

[0033] The engine operation evaluation coefficient corresponding to the vehicle to be tested is compared with the engine operation evaluation coefficients corresponding to each set maintenance level. If the engine operation evaluation coefficient corresponding to the vehicle to be tested is the same as the engine operation evaluation coefficient corresponding to a certain maintenance level, the maintenance level is used as the maintenance level corresponding to the vehicle to be tested.

[0034] According to the calculation method of the cleaning price and cleaning cycle corresponding to the tested vehicle, the engine maintenance price and maintenance cycle corresponding to the tested vehicle are analyzed and obtained;

[0035] The beneficial effects of the present invention are as follows: the present invention provides an efficient and comprehensive automobile detection system, which collects automobile information, performs all-round cleaning and maintenance on the automobile, analyzes the degree of damage to the appearance of the automobile, thereby evaluating the appearance maintenance price and appearance maintenance cycle corresponding to the vehicle to be tested, and then obtains the emission of pollutant gases during normal operation of the vehicle to be tested according to the background data of the vehicle to be tested, analyzes whether the engine needs maintenance and the engine maintenance level, the cleaning price, cleaning cycle, appearance maintenance price, appearance maintenance cycle, engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested, generates a maintenance document corresponding to the vehicle to be tested, and then sends it to the user terminal of the corresponding owner of the vehicle to be tested, so that the customer can judge whether the car maintenance is needed after understanding it, avoids economic disputes that may occur in subsequent maintenance, and avoids the impact on the customer's daily life during maintenance, improves the user's car maintenance experience, increases the user's understanding of vehicle maintenance projects, and makes the car maintenance price transparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0039] The present invention provides an efficient comprehensive automobile detection system, including an automobile information collection module, a cleanliness analysis module, a maintenance situation analysis module, an exhaust gas detection module, a maintenance result generation and sending module and a database;

[0040] The automobile information collection module is respectively connected to the cleanliness analysis module and the maintenance situation analysis module, the exhaust gas detection module is respectively connected to the maintenance situation analysis module and the maintenance result generation and sending module, and the database is also respectively connected to the automobile information collection module, the cleanliness analysis module, the maintenance situation analysis module, the exhaust gas detection module, and the maintenance result generation and sending module.

[0041] The vehicle information acquisition module is used to acquire images of the vehicle to be tested through a camera, arrange a number of acquisition points in the vehicle to be tested, and obtain the hue, brightness, saturation corresponding to each acquisition point in the vehicle to be tested and the model of the vehicle to be tested from the image of the vehicle to be tested;

[0042] It should be noted that the image of the vehicle to be tested is collected by a camera and then compared with the images of various reference model vehicles in the database to obtain the model corresponding to the vehicle to be tested.

[0043] As an optional implementation manner, the specific process of judging whether the vehicle to be tested needs to be cleaned is as follows:

[0044] Substitute the hue, brightness and saturation of each collected point of the vehicle to be tested into the calculation formula The color deviation coefficient of the vehicle to be tested is obtained, where A i , B i , C iare the reference values ​​of hue, brightness and saturation of the i-th collection point of the vehicle to be tested stored in the database, i represents the number corresponding to each collection point, i=1, 2, 3...n, ΔA, ΔB, ΔC are the preset allowable differences of hue, brightness and saturation, respectively, A i ′、B i ′、C i ′ are the hue, brightness and saturation corresponding to the i-th acquisition point of the vehicle to be tested, τ 1 , τ 2 , τ 3 They are the weight factors corresponding to hue, brightness and saturation respectively;

[0045] The deviation degree coefficient corresponding to the vehicle to be tested is compared with the preset deviation degree coefficient threshold. If the deviation degree coefficient corresponding to the vehicle to be tested is greater than the preset deviation degree coefficient threshold, it is judged that the vehicle to be tested does not need to be cleaned; if the deviation degree coefficient corresponding to the vehicle to be tested is less than or equal to the preset deviation degree coefficient threshold, it is judged that the vehicle to be tested needs to be cleaned.

[0046] The cleanliness analysis module is used to calculate the color deviation coefficient of the vehicle to be tested based on the hue, brightness and saturation of each collection point of the vehicle to be tested, and then judge whether the vehicle to be tested needs to be cleaned based on the color deviation coefficient of the vehicle to be tested. If the vehicle to be tested needs to be cleaned, the corresponding cleaning level of the vehicle to be tested is analyzed, so as to evaluate the cleaning price and cleaning cycle corresponding to the vehicle to be tested;

[0047] As an optional implementation, the analysis obtains the cleanliness level corresponding to the vehicle to be tested, and the specific analysis process is as follows:

[0048] The color deviation coefficient corresponding to the vehicle to be tested is compared with the color deviation coefficient corresponding to each set cleaning level. If the color deviation coefficient corresponding to the vehicle to be tested is the same as the color deviation coefficient corresponding to a certain cleaning level, the cleaning level is used as the cleaning level corresponding to the vehicle to be tested.

[0049] As an optional implementation, the cleaning price and cleaning cycle corresponding to the vehicle to be tested are evaluated, and the specific confirmation process is as follows:

[0050] Obtain the vehicle model, cleaning level, cleaning price, cleaning cycle and cleaning time corresponding to each historical maintenance from the database;

[0051] It should be noted that the cleaning time is the time when the vehicle cleaning starts.

[0052] Compare the model corresponding to the vehicle to be tested with the vehicle model corresponding to each historical maintenance. If the model corresponding to the vehicle to be tested is the same as the vehicle model corresponding to a certain historical maintenance, use the historical maintenance as a reference historical maintenance corresponding to the vehicle to be tested, thereby obtaining each reference historical maintenance corresponding to the vehicle to be tested, and then compare the cleaning level corresponding to the vehicle to be tested with the cleaning level corresponding to each reference historical maintenance. If the cleaning level corresponding to the vehicle to be tested is the same as the cleaning level corresponding to a certain reference historical maintenance, use the reference historical maintenance as the reference maintenance, and use the cleaning price, cleaning cycle and cleaning time corresponding to the cleaning level of the reference maintenance as the reference cleaning price, reference cleaning cycle and reference cleaning time corresponding to the vehicle to be tested, thereby obtaining each reference cleaning price, each reference cleaning cycle and each reference cleaning time corresponding to the vehicle to be tested;

[0053] By calculating the formula Get the cleaning price growth rate corresponding to the vehicle to be tested, where K is the cleaning price growth rate corresponding to the vehicle to be tested, Q j is the reference cleaning price corresponding to the jth reference maintenance, j is the number corresponding to each reference maintenance, j = 1, 2, 3...m, T j is the cleaning time corresponding to the jth reference maintenance, T j-1 is the cleaning time corresponding to the j-1th reference maintenance, Q j-1 is the reference cleaning price corresponding to the j-1th reference repair, m represents the total number of reference repairs, and γ is the correction factor for the growth rate of the cleaning price;

[0054] According to the calculation formula Q = Q m (1+K), and get the cleaning price corresponding to the vehicle to be tested, where Q m is the cleaning price corresponding to the mth reference repair, Q is the cleaning price corresponding to the vehicle to be tested, and the cleaning price corresponding to the vehicle to be tested is obtained;

[0055] The cleaning cycle corresponding to the vehicle to be tested is obtained by calculating the mean of each reference cleaning cycle.

[0056] The maintenance situation analysis module is used to calculate the appearance damage level coefficient of the vehicle under test based on the image corresponding to the vehicle under test, and determine whether the vehicle under test needs appearance repair. If the vehicle under test needs repair, the appearance damage level of the vehicle under test is analyzed, so as to evaluate the appearance repair price and appearance repair cycle of the vehicle under test;

[0057] As an optional implementation manner, the analysis of the appearance damage level corresponding to the vehicle to be tested is specifically performed as follows:

[0058] The total dent area and total damaged area are obtained from the corresponding image of the vehicle to be tested, and the calculation formula is used Get the appearance damage level coefficient corresponding to the vehicle to be tested, where S is the set reference dent area, S 1 represents the total dent area corresponding to the vehicle to be tested, S′ is the set reference damage area, S 2 Represents the total damaged area corresponding to the vehicle to be tested, σ 1 , σ 2 are the set concave area and the weight factor corresponding to the area respectively;

[0059] The appearance damage degree coefficient corresponding to the vehicle to be tested is compared with the preset appearance damage degree coefficient threshold. If the appearance damage degree coefficient corresponding to the vehicle to be tested is greater than the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested needs repair; if the appearance damage degree coefficient corresponding to the vehicle to be tested is less than or equal to the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested does not need repair.

[0060] As an optional implementation, the evaluation of the appearance repair price and appearance repair cycle corresponding to the vehicle to be tested is specifically carried out as follows:

[0061] The appearance damage grade coefficient corresponding to the vehicle to be tested is compared with the appearance damage grade coefficient corresponding to each set maintenance grade. If the appearance damage grade coefficient corresponding to the vehicle to be tested is the same as the appearance damage grade coefficient corresponding to a certain maintenance grade, then the maintenance grade is used as the maintenance grade corresponding to the vehicle to be tested.

[0062] The appearance damage grade, appearance repair price and appearance repair cycle corresponding to each reference historical repair are obtained from the database, and the appearance repair price and appearance repair cycle corresponding to the vehicle to be tested are calculated according to the calculation method of the cleaning price and cleaning cycle corresponding to the vehicle to be tested.

[0063] The exhaust gas detection module is used to obtain the emissions of carbon monoxide, nitrogen oxides and sulfur dioxide of the vehicle under test, and determine whether the vehicle under test needs engine maintenance. If the vehicle under test needs engine maintenance, the engine maintenance level corresponding to the vehicle under test is analyzed, so as to evaluate the engine maintenance price and engine maintenance cycle corresponding to the vehicle under test;

[0064] It should be noted that engine maintenance refers to the maintenance of the engine exhaust system.

[0065] It should also be noted that a carbon monoxide sensor, a nitrogen oxide sensor and a sulfur dioxide sensor are installed inside the engine. When the vehicle to be tested is running each time, several collection times are set, and the carbon monoxide, nitrogen oxide and sulfur dioxide emissions in the exhaust gas of the automobile engine are monitored by the carbon monoxide sensor, the nitrogen oxide sensor and the sulfur dioxide sensor respectively, and sent to the control center of the vehicle to be tested. Therefore, the carbon monoxide, nitrogen oxide and sulfur dioxide emissions corresponding to each collection time in each operation of the vehicle to be tested are obtained from the control center corresponding to the vehicle to be tested, and then the average carbon monoxide, nitrogen oxide and sulfur dioxide emissions corresponding to the vehicle to be tested are obtained by mean calculation, and used as the carbon monoxide, nitrogen oxide and sulfur dioxide emissions corresponding to the vehicle to be tested.

[0066] As an optional implementation manner, the analysis of the engine operation evaluation coefficient corresponding to the vehicle to be tested is specifically performed as follows:

[0067] By calculating the formula Get the engine operation evaluation coefficient corresponding to the vehicle to be tested, where α represents the engine operation evaluation coefficient corresponding to the vehicle to be tested, Y 1 ′、Y 2 ′、Y 3 ′ are the set allowable emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively, and Y 1 , Y 2 , Y 3 are the emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively. They are the weight factors corresponding to carbon monoxide, nitrogen oxides and sulfur dioxide emissions respectively.

[0068] As an optional implementation manner, the specific process of determining whether the vehicle to be tested needs engine maintenance is as follows:

[0069] The engine operation evaluation coefficient corresponding to the vehicle to be tested is compared with the set engine operation evaluation coefficient threshold. If the engine operation evaluation coefficient corresponding to the vehicle to be tested is less than the set engine operation evaluation coefficient threshold, it is judged that the engine needs maintenance; if the engine operation evaluation coefficient corresponding to the vehicle to be tested is greater than or equal to the set engine operation evaluation coefficient threshold, it is judged that the engine does not need maintenance.

[0070] As an optional implementation, the maintenance level corresponding to the vehicle to be tested is determined, and then the engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested are evaluated. The specific determination process is as follows:

[0071] The engine operation evaluation coefficient corresponding to the vehicle to be tested is compared with the engine operation evaluation coefficients corresponding to each set maintenance level. If the engine operation evaluation coefficient corresponding to the vehicle to be tested is the same as the engine operation evaluation coefficient corresponding to a certain maintenance level, the maintenance level is used as the maintenance level corresponding to the vehicle to be tested.

[0072] According to the calculation method of the cleaning price and cleaning cycle corresponding to the tested vehicle, the engine maintenance price and maintenance cycle corresponding to the tested vehicle are analyzed and obtained;

[0073] The maintenance result generation and sending module is used to generate the maintenance document corresponding to the vehicle to be tested according to the cleaning price, cleaning cycle, appearance maintenance price, appearance maintenance cycle, engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested, and then send it to the user terminal of the corresponding owner of the vehicle to be tested.

[0074] The database is used to store the reference values ​​of hue, brightness and saturation of the standards corresponding to the tested vehicle, and store the vehicle model, cleaning level, cleaning price, cleaning cycle, cleaning time, appearance damage level, appearance repair price and appearance repair cycle corresponding to each historical repair.

[0075] The embodiment of the present invention collects automobile information, performs comprehensive cleaning and maintenance on the automobile, analyzes the degree of damage to the automobile's appearance, and thus evaluates the appearance maintenance price and appearance maintenance cycle corresponding to the vehicle to be tested, and then obtains the emission of pollutant gases during normal operation of the vehicle to be tested based on the background data of the vehicle to be tested, analyzes whether the engine needs maintenance and the engine maintenance level, and generates maintenance documents corresponding to the vehicle to be tested, so that customers can judge whether automobile maintenance is needed after understanding it, avoid economic disputes that may occur in subsequent maintenance, and avoid the impact on customers' daily lives during maintenance, thereby improving users' automobile maintenance experience, increasing users' understanding of vehicle maintenance projects, and making automobile maintenance prices transparent.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An efficient comprehensive automobile detection system, characterized in that: include: The vehicle information acquisition module is used to acquire images of the vehicle to be tested through a camera, arrange a number of acquisition points in the vehicle to be tested, and obtain the hue, brightness, saturation corresponding to each acquisition point in the vehicle to be tested and the model of the vehicle to be tested from the image of the vehicle to be tested; The cleanliness analysis module is used to calculate the color deviation coefficient of the vehicle to be tested based on the hue, brightness and saturation of each collection point of the vehicle to be tested, and then judge whether the vehicle to be tested needs to be cleaned based on the color deviation coefficient of the vehicle to be tested. If the vehicle to be tested needs to be cleaned, the corresponding cleaning level of the vehicle to be tested is analyzed, so as to evaluate the cleaning price and cleaning cycle corresponding to the vehicle to be tested; The maintenance situation analysis module is used to calculate the appearance damage level coefficient of the vehicle under test based on the image corresponding to the vehicle under test, and determine whether the vehicle under test needs appearance repair. If the vehicle under test needs repair, the appearance damage level of the vehicle under test is analyzed, so as to evaluate the appearance repair price and appearance repair cycle of the vehicle under test; The exhaust gas detection module is used to obtain the emissions of carbon monoxide, nitrogen oxides and sulfur dioxide of the vehicle under test, and determine whether the vehicle under test needs engine maintenance. If the vehicle under test needs engine maintenance, the engine maintenance level corresponding to the vehicle under test is analyzed, so as to evaluate the engine maintenance price and engine maintenance cycle corresponding to the vehicle under test; The maintenance result generation and sending module is used to generate the maintenance document corresponding to the vehicle to be tested according to the cleaning price, cleaning cycle, appearance maintenance price, appearance maintenance cycle, engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested, and then send it to the user terminal of the corresponding owner of the vehicle to be tested.

2. An efficient comprehensive automobile detection system as claimed in claim 1, characterized in that: The specific process of judging whether the vehicle to be tested needs to be cleaned is as follows: Substitute the hue, brightness and saturation of each collected point of the vehicle to be tested into the calculation formula The color deviation coefficient of the vehicle to be tested is obtained, where A i , B i , C i are the reference values ​​of hue, brightness and saturation of the i-th collection point of the vehicle to be tested stored in the database, i represents the number corresponding to each collection point, i=1, 2, 3...n, ΔA, ΔB, ΔC are the preset allowable differences of hue, brightness and saturation, respectively, A i ′、B i ′、C i ′ are the hue, brightness and saturation corresponding to the i-th acquisition point of the vehicle to be tested, τ1, τ2 and τ3 are the weight factors corresponding to the hue, brightness and saturation respectively; Comparing the deviation degree coefficient corresponding to the vehicle to be tested with a preset deviation degree coefficient threshold, if the deviation degree coefficient corresponding to the vehicle to be tested is greater than the preset deviation degree coefficient threshold, it is determined that the vehicle to be tested does not need to be cleaned; If the deviation degree coefficient corresponding to the vehicle to be tested is less than or equal to a preset deviation degree coefficient threshold, it is determined that the vehicle to be tested needs to be cleaned.

3. The efficient comprehensive vehicle detection system according to claim 1, characterized in that: The analysis obtains the cleanliness level corresponding to the vehicle to be tested, and the specific analysis process is as follows: The color deviation coefficient corresponding to the vehicle to be tested is compared with the color deviation coefficient corresponding to each set cleaning level. If the color deviation coefficient corresponding to the vehicle to be tested is the same as the color deviation coefficient corresponding to a certain cleaning level, the cleaning level is used as the cleaning level corresponding to the vehicle to be tested.

4. The efficient comprehensive vehicle detection system according to claim 1, characterized in that: The specific confirmation process of evaluating the cleaning price and cleaning cycle corresponding to the vehicle to be tested is as follows: Obtain the vehicle model, cleaning level, cleaning price, cleaning cycle and cleaning time corresponding to each historical maintenance from the database; Compare the model corresponding to the vehicle to be tested with the vehicle model corresponding to each historical maintenance. If the model corresponding to the vehicle to be tested is the same as the vehicle model corresponding to a certain historical maintenance, use the historical maintenance as a reference historical maintenance corresponding to the vehicle to be tested, thereby obtaining each reference historical maintenance corresponding to the vehicle to be tested, and then compare the cleaning level corresponding to the vehicle to be tested with the cleaning level corresponding to each reference historical maintenance. If the cleaning level corresponding to the vehicle to be tested is the same as the cleaning level corresponding to a certain reference historical maintenance, use the reference historical maintenance as the reference maintenance, and use the cleaning price, cleaning cycle and cleaning time corresponding to the cleaning level of the reference maintenance as the reference cleaning price, reference cleaning cycle and reference cleaning time corresponding to the vehicle to be tested, thereby obtaining each reference cleaning price, each reference cleaning cycle and each reference cleaning time corresponding to the vehicle to be tested; By calculating the formula Get the cleaning price growth rate corresponding to the vehicle to be tested, where K is the cleaning price growth rate corresponding to the vehicle to be tested, Q j is the reference cleaning price corresponding to the jth reference maintenance, j is the number corresponding to each reference maintenance, j = 1, 2, 3...m, T j is the cleaning time corresponding to the jth reference maintenance, T j-1 is the cleaning time corresponding to the j-1th reference maintenance, Q j-1 is the reference cleaning price corresponding to the j-1th reference repair, m represents the total number of reference repairs, and γ is the correction factor for the growth rate of the cleaning price; According to the calculation formula Q = Q m (1+K), and get the cleaning price corresponding to the vehicle to be tested, where Q m is the cleaning price corresponding to the mth reference repair, Q is the cleaning price corresponding to the vehicle to be tested, and the cleaning price corresponding to the vehicle to be tested is obtained; The cleaning cycle corresponding to the vehicle to be tested is obtained by calculating the mean of each reference cleaning cycle.

5. The efficient comprehensive automobile detection system according to claim 1, characterized in that: The specific analysis process of analyzing the appearance damage level of the vehicle to be tested is as follows: The total dent area and total damaged area are obtained from the corresponding image of the vehicle to be tested, and the calculation formula is used The appearance damage degree coefficient corresponding to the vehicle to be tested is obtained, where S is the set reference dent area, S1 represents the total dent area corresponding to the vehicle to be tested, S′ is the set reference damage area, S2 represents the total damage area corresponding to the vehicle to be tested, σ1 and σ2 are the set dent area and weight factors corresponding to the area respectively; The appearance damage degree coefficient corresponding to the vehicle to be tested is compared with the preset appearance damage degree coefficient threshold. If the appearance damage degree coefficient corresponding to the vehicle to be tested is greater than the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested needs repair; if the appearance damage degree coefficient corresponding to the vehicle to be tested is less than or equal to the preset appearance damage degree coefficient threshold, it is judged that the vehicle to be tested does not need repair.

6. An efficient comprehensive automobile detection system as claimed in claim 4, characterized in that: The specific evaluation process of evaluating the appearance repair price and appearance repair cycle of the vehicle to be tested is as follows: Compare the appearance damage grade coefficient corresponding to the vehicle to be tested with the appearance damage grade coefficient corresponding to each set maintenance grade. If the appearance damage grade coefficient corresponding to the vehicle to be tested is the same as the appearance damage grade coefficient corresponding to a maintenance grade, then use the maintenance grade as the maintenance grade corresponding to the vehicle to be tested. The appearance damage grade, appearance repair price and appearance repair cycle corresponding to each reference historical repair are obtained from the database, and the appearance repair price and appearance repair cycle corresponding to the vehicle to be tested are calculated according to the calculation method of the cleaning price and cleaning cycle corresponding to the vehicle to be tested.

7. The efficient comprehensive automobile detection system according to claim 1, characterized in that: The specific analysis process of analyzing the engine operation evaluation coefficient corresponding to the vehicle to be tested is as follows: By calculating the formula The engine operation evaluation coefficient corresponding to the vehicle to be tested is obtained, where α represents the engine operation evaluation coefficient corresponding to the vehicle to be tested, Y1′, Y2′, and Y3′ are the set allowable emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively, and Y1, Y2, and Y3 are the emissions of carbon monoxide, nitrogen oxides, and sulfur dioxide, respectively. They are the weight factors corresponding to carbon monoxide, nitrogen oxides and sulfur dioxide emissions respectively.

8. The efficient comprehensive vehicle detection system according to claim 1, characterized in that: The specific process of judging whether the vehicle under test needs engine maintenance is as follows: Comparing the engine operation evaluation coefficient corresponding to the vehicle to be tested with a set engine operation evaluation coefficient threshold, if the engine operation evaluation coefficient corresponding to the vehicle to be tested is less than the set engine operation evaluation coefficient threshold, it is determined that the engine needs maintenance; If the engine operation evaluation coefficient corresponding to the vehicle to be tested is greater than or equal to the set engine operation evaluation coefficient threshold, it is determined that the engine does not need maintenance.

9. The efficient comprehensive vehicle detection system as claimed in claim 4, characterized in that: The maintenance level corresponding to the vehicle to be tested is determined, and then the engine maintenance price and engine maintenance cycle corresponding to the vehicle to be tested are evaluated. The specific determination process is as follows: Compare the engine operation evaluation coefficient corresponding to the vehicle to be tested with the engine operation evaluation coefficient corresponding to each set maintenance level; if the engine operation evaluation coefficient corresponding to the vehicle to be tested is the same as the engine operation evaluation coefficient corresponding to a maintenance level, then use the maintenance level as the maintenance level corresponding to the vehicle to be tested; According to the calculation method of the cleaning price and cleaning cycle corresponding to the vehicle to be tested, the engine maintenance price and maintenance cycle corresponding to the vehicle to be tested are analyzed and obtained.

10. The efficient comprehensive vehicle detection system according to claim 1, characterized in that: The efficient comprehensive automobile detection system also includes a database for storing the hue, brightness and saturation reference values ​​corresponding to the standards of the vehicle to be tested, and storing the vehicle model, cleaning level, cleaning price, cleaning cycle, cleaning time, appearance damage level, appearance repair price and appearance repair cycle corresponding to each historical repair.

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