CN116228168B - Intelligent checking method for declaration parameters of commercial trucks - Google Patents
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Abstract
The application belongs to a data processing system or method suitable for management purposes, and provides an intelligent checking method for reporting parameters of a commercial truck, which comprises the following steps of 1, extracting recorded enterprise record information from related record parameter webpages, and storing the enterprise record information in dictionary data types; step 2, extracting information of product types in the enterprise record information, and judging the types of vehicles through model naming rules; step 3, extracting each reporting parameter in the enterprise record information, and checking whether the data relation among each reporting parameter is closed, whether the reporting parameter is missed to be filled, misplaced and whether the reporting parameter meets the specification; and step 4, storing the inspection result of the declaration parameters through a document, highlighting the nonstandard parameters for modification by enterprises, and repeating the step 3 for rechecking after the modification. The application can rapidly and accurately identify the rationality of each declaration parameter on a large scale, thereby improving the detection efficiency and ensuring the passing rate of automobile products.
Description
Technical Field
The application relates to the technical field of parameter automatic checking, in particular to an intelligent checking method for reporting parameters of a commercial truck.
Background
According to the requirements of the transportation department and the transportation center, the related vehicle production units and the parts suppliers need to complete the related legal detection requirements, so that the operation authorization can be obtained. In the process of operation reporting, enterprises need to input corresponding product information and parameters in a reporting system, and the integrity, correctness and normalization of the product information and parameters directly influence the final reporting result of the vehicle, so that how to systematically check the rationality of the parameters is the opportunity and challenge faced by each detection mechanism at present. In the detection industry, the application and innovation of the information technology is a core engine for the high-quality development of the industry, the intelligent detection system also becomes a necessary product for the development of the next detection stage, intelligent energization for the detection work of a detection mechanism is a main way for solving the current problem, and the intelligent examination method established based on the integrated development environment and the programming language can help the automobile enterprises and the detection mechanism to quickly and accurately identify the rationality of each reporting parameter in a large scale, so that the working efficiency of the staff of the detection mechanism is improved and the passing rate of automobile products is ensured.
Disclosure of Invention
The application provides an intelligent checking method for reporting parameters of a commercial truck, which greatly improves the working efficiency of related staff of a detection mechanism and simultaneously reduces the probability of vehicle model failing due to unreasonable product parameters when the commercial truck is operated and reported by an automobile production enterprise.
Specifically, the application provides an intelligent checking method for reporting parameters of a commercial truck, which comprises the following steps:
step 1, extracting enterprise record information from a related record parameter webpage, and storing the enterprise record information in a dictionary data type;
step 2, extracting information of product types in the enterprise record information, and judging the types of vehicles through product type naming rules;
step 3, extracting each reporting parameter in the enterprise record information, and checking whether the data relation among each reporting parameter is closed, whether the reporting parameter is missed to be filled, misplaced and whether the reporting parameter meets the specification;
step 4, saving the inspection result of the reporting parameters through a document, highlighting the reporting parameters which are not standardized in the enterprise record information for the enterprise to modify and repeating the step 3 for checking again;
wherein, step 3 further comprises the following steps:
step 3.1, extracting characteristic parameter values in the enterprise record information, and judging whether the model of the vehicle meets a naming rule or not;
step 3.2, extracting the reporting parameters of the basic size and the quality in the enterprise record information, and checking whether the basic size and the quality parameters of the reporting vehicle are closed or not by a checking function;
step 3.3, extracting declaration parameters of vehicle types in enterprise record information, and judging whether the declaration parameters of the engine model, specific power, comprehensive fuel consumption and JT/T719-2016 are correct and standard;
step 3.4, extracting reporting parameters of the shaft number information in the enterprise record information, and judging whether the number of the pressure test connectors is correct;
step 3.5, extracting reporting parameters of the automatic brake clearance adjusting device, the anti-lock brake device and the anti-lock brake device signal alarm device in the enterprise record information, and judging whether the automatic brake clearance adjusting device, the anti-lock brake device and the anti-lock brake device signal alarm device meet record requirements;
step 3.6, extracting declaration parameters of rated working pressure of the brake air reservoir in the enterprise record information, and judging whether the rated working pressure of the brake air reservoir is correctly filled;
step 3.7, extracting reporting parameters related to axle arrangement in the enterprise record information, and judging whether the reporting parameters related to the axle arrangement are correctly filled;
step 3.8, extracting reporting parameters related to the suspension in the enterprise record information, and judging whether the reporting parameters related to the suspension fill in the specification;
step 3.9, extracting the reporting parameters related to the braking in the enterprise record information, and judging whether the reporting parameters related to the braking fill in the specification;
step 3.10, extracting reporting parameters of the AEBS and the FCW in the enterprise record information, and judging whether the reporting parameters of the AEBS and the FCW fill in the specification;
and 3.11, extracting declaration parameters of fuel types in the enterprise record information, and judging whether the vehicle belongs to a gas vehicle or not and whether corresponding declaration parameters are missed.
Further, in step 3, python is used as a programming language to convert the filling specification and the examination requirement into statements executable by a chemical program, and the verification function realized based on the logic statements is utilized to carry out intelligent examination on the rationality of each declaration parameter.
Further, in step 3.2, the basic size and quality parameters include:
whole length = front overhang + wheelbase + rear overhang;
the horizontal distance from the central axis of the traction pin to the rearmost end of the semitrailer=wheelbase+rear overhang;
quality of service = sum of shaft loads in service state;
maximum total mass = sum of shaft loads in corresponding states;
maximum total mass = quality of preparation + rated load + cab quasi-adults 65;
total mass of train = quality of service + cab quasi-passenger number 65+ total mass of quasi-trailer.
Further, in step 3.6, the rated working pressure of the braking air reservoir needs to judge the vehicle type of the reporting vehicle, when the reporting vehicle is a truck, whether the total mass is not less than 12t and whether air pressure braking is adopted is judged, if the requirements are met, whether the reporting value of the rated working air pressure of the air reservoir is not less than 1000kPa or not needs to be judged, otherwise, whether the reporting value is not applicable is judged, if the reporting vehicle is a traction vehicle, whether the reporting value of the rated working pressure of the air reservoir is not less than 1000kPa or not needs to be judged, if the requirements are met, whether the reporting value is not applicable is judged.
Further, in step 3.7, the axle arrangement related reporting parameters include the number of drive axles, the number of steering axles, the position of the drive axles, the position of the steering axles, and axle count information.
Further, in step 3.8, the suspension related reporting parameters include a non-freestanding leaf spring, a non-freestanding air suspension, a freestanding air suspension.
Further, in step 3.9, the brake related reporting parameters are shaft brake types including brake disc, brake shoe, brake drum, brake caliper.
Further, in step 3.10, the determining whether the declaration parameters of the AEBS and the FCW fill out the specification sequentially determines two types of configuration including the manufacturing enterprise, the category, the controller model, the controller manufacturing enterprise, the sensor category, the model, the manufacturing enterprise, the number, the installation height and the location information through the character string comparison.
In step 3.11, the declaration parameters of the fuel type include fuel gas, and when the vehicle belongs to the fuel gas vehicle, it is determined whether the vehicle static electricity conducting rubber dragging information and the gas cylinder information are recorded or not.
Further, in step 2, the first digit naming convention on the left of the product model represents the class of vehicle; the vehicle classes include trucks, traction vehicles, semitrailers, buses, and passenger cars; wherein the truck, the traction vehicle and the semitrailer are commercial trucks.
The beneficial effects achieved by the application are as follows:
the intelligent inspection method and the intelligent inspection system realize intelligent inspection of the reporting parameters of the enterprises, so as to judge whether the filled reporting parameter values of the enterprises are normal and reasonable, and the intelligent inspection method replaces the traditional manual inspection, so that the automobile enterprises and the detection institutions can be helped to quickly and accurately identify the rationality of each reporting parameter in a large scale, thereby improving the working efficiency of the staff of the detection institutions and ensuring the passing rate of automobile products.
Drawings
FIG. 1 is a schematic diagram showing steps of an intelligent checking method for reporting parameters of a commercial truck according to the present application;
fig. 2 is a flowchart of an intelligent checking method for reporting parameters of a commercial truck according to an embodiment of the present application.
Description of the embodiments
The technical scheme of the present application will be described in more detail with reference to the accompanying drawings, and the present application includes, but is not limited to, the following examples.
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and the scope of the application is therefore not limited to the specific embodiments disclosed below.
As shown in fig. 1-2, the present embodiment provides an intelligent checking method for reporting parameters of a commercial truck, and the determining method is used for intelligent examination of the reporting parameters, and includes the following steps:
step 1, extracting enterprise record information from a related record parameter webpage, and storing the enterprise record information in a dictionary data type;
a detection mechanism worker opens a related record parameter webpage according to an application number provided by an enterprise, and simultaneously finds a console option in a browser development tool, inputs a code for analyzing a webpage frame and a structure, finds a specified html (HyperText markup-up Language) tag, extracts character string information corresponding to the tag through a JavaScript DOM function, stores the information, namely record information of the enterprise, in a dictionary format, and is convenient for subsequent calling and operation;
step 2, extracting information of product types in the enterprise record information, and judging the types of vehicles through product type naming rules;
based on the recorded information obtained in the step 1, product model information can be extracted according to the corresponding relation of 'health-value' of dictionary data types, then the first digit on the left side in the model can be obtained through a regular expression, which category the vehicle belongs to can be judged through a corresponding model naming rule, the semitrailer is the digit 9, the passenger car is the digit 6, the traction vehicle is the digit 4, the cargo vehicle is the carriage is the digit other than 4, 6, 7 and 9, the recorded parameters of different vehicles are different, the category of the vehicle is clear, and the specific corresponding examination parameters can be clear, so that the aim of optimizing the checking flow is fulfilled; wherein the truck, the traction vehicle and the semitrailer are commercial trucks.
Step 3, extracting each reporting parameter in the enterprise record information, and checking whether the data relation among each reporting parameter is closed, whether the reporting parameter is missed to be filled, misplaced and whether the reporting parameter meets the specification;
selecting Pycharm as an integrated development environment, converting filling specifications and examination requirements into sentences executable by a chemical program by adopting python as a programming language, performing intelligent examination on rationality of each declaration parameter by using a checking function realized by the logic sentences, wherein the main examination requirements are three, namely, checking whether data relations among each declaration parameter are closed, checking whether corresponding configuration parameters have missing filling and misplugging conditions, checking whether the filled parameters are normal and reasonable, storing examination results in a word form, and performing highlighting treatment on unreasonable checking results in the word so as to remind enterprises of modifying related parameters;
further, the function of performing intelligent examination in the step 3 is implemented by a written checking function, and specifically includes:
step 3.1, the checking function extracts the data according to the dictionary format acquired in the step 1 to acquire the characteristic parameter value, and processes the characteristic parameter value by means of mathematical operation to acquire the reserved number and the to-be-discarded number required during the repair, then judges which type of 'house entering rule' the vehicle belongs to through the regular expression, and finally realizes the comparison of the reserved numbers under different house entering rules through the condition selection statement, so as to judge whether the model of the vehicle meets the naming rule;
step 3.2, checking the basic size and quality parameters of the declared vehicle to be closed by a checking function, wherein the closing requirement is as follows:
(1) whole length = front overhang + wheelbase + rear overhang,
(2) the horizontal distance from the central axis of the towing pin to the rearmost end of the semitrailer=wheelbase+rear overhang,
(3) quality of service = sum of shaft loads in service state,
(4) maximum total mass = sum of the axle loads in the corresponding states,
(5) maximum total mass = quality of service + rated load + cab quasi-adults 65,
(6) total mass of train = quality of service + cab quasi-passenger number 65+ total mass of quasi-trailer,
in the closed checking process, the wheelbase parameters still need to be screened when the wheelbase parameters are involved, in the reporting system, the wheelbase parameters are 3, namely, the 'I-axis to II-axis distance', 'II-axis to III-axis distance', 'III-axis to IV-axis distance', and the parameters needed to be reported by vehicles with different numbers of axes are different, for example: the two-axle vehicle only needs to fill in the distance from the I axle to the II axle, the other two parameters are not applicable or N/A, before checking, only the declaration values of the effective wheelbase are required to be extracted, and the declaration values of the declaration parameters possibly generate various declaration configurations because of the relation of arrangement and combination, and here, each declaration configuration needs to be checked in a sealing way, and here, the declaration values of the parameters can be subjected to Cartesian product operation based on a pandas third party library, so that the corresponding relation of various arrangement and combination is obtained, meanwhile, the sealing check of the combination relations is realized based on the screening function of pandas, so that the correct configuration relation is obtained, and the declaration values are compared with the original declaration parameter values based on the correct configuration relation information, so that the declaration values can be judged to be invalid errors;
step 3.3, the checking function confirms the vehicle type according to the result of the step 2, the judging result of different vehicle types is realized through the conditional statement, when the vehicle is a semitrailer, parameters related to the engine and the oil consumption do not need to be checked, when the vehicle type is not a semitrailer, the model, the specific power and the comprehensive fuel consumption (L/100 km) of the engine are checked through the regular expression of a re module and the comparison of character strings and the numerical calculation respectively, and the declaration value conforming to JT/T719-2016 is correct and standard;
step 3.4, the checking function extracts the shaft number information from the recorded information in the step 1, the correct number of the pressure test connectors can be obtained through numerical calculation according to the numerical relation between the shaft number and the number of the pressure test connectors, and then the correct number of the pressure test connectors is compared with a reporting value, so that whether the number of the pressure test connectors is reported to be correct or not is judged;
step 3.5, checking the function and extracting the declaration value of the brake clearance automatic adjusting device, the anti-lock brake device (ABS) and the anti-lock brake device (ABS) signal alarm device from the recorded information in step 1, comparing whether the declaration value is filled in 'yes', thereby judging whether the recorded requirement is met, and when the judgment result in step 2 is a semi-trailer, the semi-trailer is not required to be provided with the anti-lock brake device (ABS) signal alarm device because the semi-trailer is not required to be checked;
step 3.6, judging whether the rated working pressure of the braking air reservoir is correctly filled or not based on a checking function, extracting related reporting parameter values based on the recorded information obtained in the step 1, judging which type the vehicle belongs to based on the step 2, executing different types of examination programs through a condition selection statement, judging whether the total mass of the vehicle reporting is not less than 12t and whether air pressure braking is adopted when the vehicle reporting is a truck, judging whether the reporting value of the rated working pressure of the air reservoir is not less than 1000kPa if the requirement is met, judging whether the reporting value is not applicable or N/A if the reporting value is not applicable, judging whether the vehicle is air pressure braking if the vehicle reporting is a towing vehicle, judging whether the reporting value of the rated working pressure of the air reservoir is not less than 1000kPa if the vehicle is a pneumatically braked vehicle, and if the reporting value is not applicable or N/A if the reporting value is not applicable;
step 3.7, the checking function judges whether the parameters related to the axle arrangement are correctly filled, the checking function directly generates corresponding axle arrangement information according to the designated logic and format through the number of driving axles, the number of steering axles, the positions of driving axles, the positions of steering axles and the information of the number of axles in the recorded information obtained in the step 1, and provides the corresponding axle arrangement information as a suggested value for enterprises, meanwhile, the correct driving form and the correct number of tires are obtained through numerical calculation and character string splicing, and the corresponding declared values are compared through the character strings, so that whether the related parameters are correctly filled is judged;
step 3.8, the checking function determines whether the parameters related to the suspension are in specification, and the format of the suspension type filling value is required to be determined whether the format meets the requirements, and the correct declaration value is as follows: the method comprises the following steps that a non-independent leaf spring, an independent leaf spring, a non-independent air suspension and an independent air suspension are adopted, a declaration value is not a recommended value, enterprises are required to be prompted to modify, in addition, the leaf spring number corresponding to the air suspension is required to be filled with "-", when a vehicle is provided with double steering shafts, the leaf spring number of a front double steering shaft is connected by using "x", in addition, the suspension form is required to be filled according to the shaft number and the shaft group, and related requirements are required to be checked;
step 3.9, the checking function judges whether information related to braking is filled in a standard, wherein the type of each shaft brake corresponds to the type of a service braking system, the information of a brake disc, a brake shoe, a brake drum, a brake caliper and the like is filled in corresponding to the type of the service braking system, error prompt is carried out on parameters which do not meet the requirements, and when a truck Shen Baopan brake is used, a brake lining alarm device is filled in correctly;
step 3.10, the checking function judges the declaration values of related parameters of the AEBS and the FCW, if the declaration values are not null (the declaration values are not 'N/A' or 'inapplicable'), the configuration of the AEBS and the FCW is declared by the vehicle at the same time, when the vehicle at the same time declares the two configurations according to the checking requirement, the parameters of the AEBS are contained in the FCW parameters, at the moment, the checking function enters a corresponding judging scene through a condition judging statement, and meanwhile, the models, the manufacturing enterprises, the types, the controller models, the controller manufacturing enterprises, the sensor types, the models, the manufacturing enterprises, the quantity, the installation height and the position information of the two configurations are judged in sequence through character string comparison, and whether the containing relation exists is checked;
step 3.11, checking the function and comparing the declaration value of the fuel type through the character string, so as to judge whether the vehicle belongs to a gas vehicle, and simultaneously, carrying out different execution results through a condition selection statement, when the vehicle belongs to the gas vehicle, extracting the automobile static electricity conducting rubber dragging zone information and the gas cylinder information in the recorded information obtained in the step 1, and carrying out character string comparison in sequence to judge whether the information is empty;
step 4, saving the inspection result of the reporting parameters through a document, highlighting the reporting parameters which are not standardized in the enterprise record information for the enterprise to modify and repeating the step 3 for checking again;
the intelligent examination result in the step 3 is stored in a file form, the examination result obtained by the checking function in the step 3 is converted into a character string data type, the character string data are written into a new word file based on a docx library of Python, and meanwhile, the result which does not meet the filling specification and the examination requirement is highlighted in the word file, so that an enterprise is reminded of modifying, and after the modification, secondary checking is carried out according to the steps 1-3 until all parameters meet the requirement.
The present application is not limited to the above embodiments, and those skilled in the art can implement the present application in various other embodiments according to the examples and the disclosure of the drawings, so that the design of the present application is simply changed or modified while adopting the design structure and concept of the present application, and the present application falls within the scope of protection.
Claims (10)
1. The intelligent checking method for the declaration parameters of the commercial truck is characterized by comprising the following steps of:
step 1, extracting enterprise record information from a related record parameter webpage, and storing the enterprise record information in a dictionary data type;
step 2, extracting information of product types in the enterprise record information, and judging the types of vehicles through product type naming rules;
step 3, extracting each reporting parameter in the enterprise record information, and checking whether the data relation among each reporting parameter is closed, whether the reporting parameter is missed to be filled, misplaced and whether the reporting parameter meets the specification;
step 4, saving the inspection result of the reporting parameters through a document, highlighting the reporting parameters which are not standardized in the enterprise record information for the enterprise to modify and repeating the step 3 for checking again;
wherein, step 3 further comprises the following steps:
step 3.1, extracting characteristic parameter values in the enterprise record information, and judging whether the model of the vehicle meets a naming rule or not;
step 3.2, extracting the reporting parameters of the basic size and the quality in the enterprise record information, and checking whether the basic size and the quality parameters of the reporting vehicle are closed or not by a checking function;
step 3.3, extracting declaration parameters related to the engine in the enterprise record information, and judging whether the declaration parameters of the engine model, specific power, comprehensive fuel consumption and JT/T719-2016 are correct and standard;
step 3.4, extracting reporting parameters of the shaft number information in the enterprise record information, and judging whether the number of the pressure test connectors is correct;
step 3.5, extracting reporting parameters of the automatic brake clearance adjusting device, the anti-lock brake device and the anti-lock brake device signal alarm device in the enterprise record information, and judging whether the automatic brake clearance adjusting device, the anti-lock brake device and the anti-lock brake device signal alarm device meet record requirements;
step 3.6, extracting declaration parameters of rated working pressure of the brake air reservoir in the enterprise record information, and judging whether the rated working pressure of the brake air reservoir is correctly filled;
step 3.7, extracting reporting parameters related to axle arrangement in the enterprise record information, and judging whether the reporting parameters related to the axle arrangement are correctly filled;
step 3.8, extracting reporting parameters related to the suspension in the enterprise record information, and judging whether the reporting parameters related to the suspension fill in the specification;
step 3.9, extracting the reporting parameters related to the braking in the enterprise record information, and judging whether the reporting parameters related to the braking fill in the specification;
step 3.10, extracting reporting parameters of the AEBS and the FCW in the enterprise record information, and judging whether the reporting parameters of the AEBS and the FCW fill in the specification;
step 3.11, extracting declaration parameters of fuel types in the enterprise record information, and judging whether the vehicle belongs to a gas vehicle or not and whether corresponding declaration parameters are missed;
in the step 3.2, in the closed checking process, screening can also be carried out on the declaration value of invalid errors in the declaration parameters;
the reporting parameter values of the basic size and the quality have various reporting configurations, and each reporting configuration needs to be subjected to closed check; and carrying out Cartesian product operation on the declaration values of all the parameters based on the pandas third party library so as to obtain the corresponding relations of various permutation and combination, realizing the closed verification of the combination relations based on the screening function of the pandas, obtaining the correct configuration relation, comparing the correct configuration relation information with the original declaration parameter values, and screening out invalid false declaration values.
2. The intelligent checking method for parameters of freight car according to claim 1, wherein in step 3, python is used as programming language to convert filling specification and examination requirement into program executable statement, and the checking function based on logic statement is used to carry out intelligent examination on the rationality of each parameters of freight car.
3. The intelligent checking method for parameters of a service wagon according to claim 1, wherein in step 3.2, the basic size and quality parameters include:
whole length = front overhang + wheelbase + rear overhang;
the horizontal distance from the central axis of the traction pin to the rearmost end of the semitrailer=wheelbase+rear overhang;
quality of service = sum of shaft loads in service state;
maximum total mass = sum of shaft loads in corresponding states;
maximum total mass = quality of preparation + rated load + cab quasi-adults 65;
total mass of train = quality of service + cab quasi-passenger number 65+ total mass of quasi-trailer.
4. The intelligent checking method for parameters of operation truck according to claim 1, wherein in step 3.6, the rated working pressure of the brake air reservoir is required to judge the vehicle type of the operation truck, when the operation truck is a cargo truck, whether the total mass is not less than 12t and whether air pressure braking is adopted is judged, if the requirement is met, whether the declared value of the rated working air pressure of the air reservoir is not less than 1000kPa is required to be judged, otherwise, whether the declared value is "inapplicable" is required to be judged, when the operation truck is a traction truck, whether the operation truck is adopted to be air pressure braked is judged, if the requirement is met, whether the declared value of the rated working pressure of the air reservoir is not less than 1000kPa is required to be judged, otherwise, whether the declared value is "inapplicable" is required to be judged.
5. The intelligent checking method for parameters of operation van according to claim 1, wherein in step 3.7, the parameters of operation van related to axle arrangement include the number of driving axles, the number of steering axles, the driving axle position, the steering axle position, and axle number information.
6. The intelligent checking method for parameters of a service truck according to claim 1, wherein in step 3.8, the suspension related parameters include a non-independent leaf spring, an independent leaf spring, a non-independent air suspension, and an independent air suspension.
7. The intelligent checking method for parameters of service truck according to claim 1, wherein in step 3.9, the parameters related to the braking are each axle brake type including a brake disc, a brake shoe, a brake drum, and a brake caliper.
8. The intelligent checking method for parameters of freight car according to claim 1, wherein in step 3.10, the determining whether parameters of AEBS and FCW are filled in specifications determines two types of configuration in sequence through character string comparison, including manufacturing enterprise, category, controller type, controller manufacturing enterprise, sensor category, model, manufacturing enterprise, quantity, installation height and location information.
9. The intelligent checking method for parameters of operation truck according to claim 1, wherein in step 3.11, the parameters of the fuel type include fuel gas, and when the vehicle belongs to the fuel gas vehicle, it is determined whether the vehicle electrostatic conductive rubber towing information, the gas cylinder information, and the gas leakage information of the fuel gas vehicle are recorded.
10. The intelligent checking method for parameters of a service wagon according to claim 1, wherein in step 2, the first numerical naming convention on the left of the product model indicates the class of vehicles; the vehicle classes include trucks, traction vehicles, semitrailers, buses, and passenger cars; wherein the truck, the traction vehicle and the semitrailer are commercial trucks.
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