WO2023045796A1 - 车辆声品质评估方法、装置、评估设备及存储介质 - Google Patents

车辆声品质评估方法、装置、评估设备及存储介质 Download PDF

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WO2023045796A1
WO2023045796A1 PCT/CN2022/118374 CN2022118374W WO2023045796A1 WO 2023045796 A1 WO2023045796 A1 WO 2023045796A1 CN 2022118374 W CN2022118374 W CN 2022118374W WO 2023045796 A1 WO2023045796 A1 WO 2023045796A1
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complaint
item
sound quality
data
nvh
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French (fr)
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宋福强
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中国第一汽车股份有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Definitions

  • the embodiments of the present application relate to the technical field of big data, for example, to a vehicle sound quality assessment method, device, assessment equipment, and storage medium.
  • Embodiments of the present application provide a vehicle sound quality evaluation method, device, evaluation equipment, and storage medium.
  • the embodiment of the present application provides a method for evaluating vehicle sound quality, including:
  • the complaint data including at least one complaint item, the frequency of complaints corresponding to each complaint item, and the data source corresponding to each complaint item;
  • the evaluation result of the vehicle sound quality is determined according to the complaint data, and the evaluation result includes the impact score of each complaint item and the NVH complaint factor of the vehicle sound quality.
  • the embodiment of the present application also provides a vehicle sound quality evaluation device, including:
  • the collection module is configured to collect user complaint information according to keywords related to vehicle sound quality
  • An extraction module configured to extract complaint data from the user complaint information, the complaint data including at least one complaint item, the frequency of complaints corresponding to each complaint item, and the data source corresponding to each complaint item;
  • the evaluation module is configured to determine the evaluation result of the vehicle sound quality according to the complaint data, and the evaluation result includes the impact score of each complaint item and the NVH complaint factor of the vehicle sound quality.
  • the embodiment of the present application also provides an evaluation device, including:
  • processors one or more processors
  • a storage device configured to store one or more programs
  • the one or more programs are executed by the one or more processors, so that the one or more processors implement the vehicle sound quality evaluation method provided by the embodiment of the present application.
  • the embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the vehicle sound quality evaluation method provided in the embodiment of the present application is implemented.
  • FIG. 1 is a schematic flowchart of a vehicle sound quality evaluation method provided in Embodiment 1 of the present application;
  • FIG. 2 is a schematic flowchart of a vehicle sound quality assessment method provided in Embodiment 2 of the present application;
  • FIG. 3 is a schematic flowchart of a vehicle sound quality evaluation method provided in Embodiment 3 of the present application.
  • FIG. 4 is a schematic structural diagram of a vehicle sound quality evaluation device provided in Embodiment 4 of the present application.
  • FIG. 5 is a schematic structural diagram of an evaluation device provided in Embodiment 5 of the present application.
  • Fig. 1 is a schematic flow chart of a vehicle sound quality evaluation method provided in Embodiment 1 of the present application.
  • the method can evaluate the vehicle NVH performance, and the method can be executed by a vehicle sound quality evaluation device, wherein the device can be controlled by software and/or Or hardware implementation, and generally integrated on an evaluation device capable of data processing.
  • the evaluation device includes but is not limited to: desktop computers, notebook computers, servers and other devices.
  • a method for evaluating vehicle sound quality includes the following steps:
  • S110 Collect user complaint information according to keywords related to vehicle sound quality.
  • the sound quality can refer to the suitability of the sound studied in a specific technical goal or task connotation;
  • the "sound” in the sound quality can refer to the auditory perception of the human ear, and the “quality” can refer to the human ear's auditory perception of sound.
  • Vehicle sound quality can refer to the subjective judgment or evaluation made by the user based on the human ear's auditory perception of vehicle noise, vibration and harshness, that is, NVH. Vehicle sound quality can be used to measure the NVH performance level of the vehicle.
  • the user complaint information related to vehicle sound quality can be collected by using web crawler technology in various information media data on the Internet (ie, big data of Internet public opinion), where the information media can include mainstream media websites , forums, post bars, etc., which are not limited in this embodiment.
  • the information media can include mainstream media websites , forums, post bars, etc., which are not limited in this embodiment.
  • technicians can use the technical means of web crawlers to collect relevant user language complaint information (that is, user complaint information) on mainstream media websites, forums, post bars and other information media by searching keywords related to vehicle sound quality. information), where the collected user language complaint information content can include key information such as model information, user complaint descriptions, and data sources.
  • relevant NVH user complaint information can be collected through keyword retrieval of network public opinion big data, and the NVH market complaint situation can be understood more comprehensively according to the NVH user complaint information.
  • the update and iteration of user complaint information can also be realized through regular retrieval and collection, so as to track the complaints in the automotive NVH market.
  • the complaints with the same attributes in the collected user complaint information are combined into one item, which is called a complaint item; and the complaint data extracted from the user complaint information includes at least one complaint item.
  • the complaint data extracted from the user complaint information includes at least one complaint item.
  • the vehicle model information in the information can be classified to obtain the complaint items of each vehicle model, wherein each vehicle model includes at least one complaint item; finally, the obtained complaint items of each vehicle model can be aggregated to form a NVH complaint database of each vehicle model.
  • the frequency of complaints may refer to the number of times a user complains about a complaint item.
  • the data sources may refer to various information media to which the complaint item data belongs, that is, information media such as mainstream media websites, forums, and post bars described in step S110.
  • the impact score can be used to reflect the user's satisfaction or complaint degree, and can also be used to reflect the importance of each complaint item to the user, to the sound quality of the vehicle, and to the improvement and maintenance of the vehicle performance; for example, according to the impact of a certain complaint item
  • the level of the score can judge the severity of the complaint item and the negative influence of the consumer; the negative influence of the consumer can refer to the negative impact of the consumer's complaint evaluation on the complaint item on other consumers.
  • the NVH complaint factor can be used to reflect the overall level of vehicle NVH performance, and the vehicle NVH performance can be comprehensively and reliably evaluated according to the NVH complaint factor.
  • the impact score of each complaint item can be used as an evaluation standard or basis for each sub-item complaint dimension of the vehicle NVH.
  • the NVH complaint factor can be used as the evaluation standard or basis for the overall vehicle NVH complaint dimension.
  • a vehicle sound quality evaluation method provided in Embodiment 1 of the present application first collects user complaint information based on keywords related to vehicle sound quality, then extracts complaint data from user complaint information, and finally determines vehicle sound quality evaluation based on the complaint data result.
  • this method can obtain relatively comprehensive automotive NVH complaint items and realize the monitoring of market NVH complaint items. It is also possible to determine the impact score of each complaint item and the NVH complaint factor of the vehicle sound quality by analyzing the complaint data extracted from the user complaint information, so as to obtain the NVH evaluation level of automotive products in the market and realize the comprehensive performance of NVH assessment to facilitate the development and optimization of NVH performance.
  • Fig. 2 is a schematic flow chart of a vehicle sound quality assessment method provided in Embodiment 2 of the present application. Embodiment 2 is refined on the basis of the foregoing embodiments.
  • This embodiment provides a method for evaluating the complaint dimension of each sub-item of vehicle NVH by determining the impact score of each complaint item. In this embodiment, the process of how to determine the impact score of each complaint item according to the complaint data described. It should be noted that for technical details not exhaustively described in this embodiment, reference may be made to any of the foregoing embodiments.
  • a method for evaluating vehicle sound quality includes the following steps:
  • S210 Collect user complaint information according to keywords related to vehicle sound quality.
  • user complaint information can be collected according to keywords related to vehicle sound quality in the network public opinion big data of each media platform.
  • each complaint item may refer to each media platform in S210 above.
  • the complaint frequency of each complaint item is different under different data sources, for example, in different media platforms, the complaint frequency of each complaint item is different.
  • S240 Determine the standard score of the complaint item under each of the data sources according to the frequency level to which the complaint frequency under each of the data sources belongs.
  • Table 1 is a correspondence table between complaint frequency and standard score.
  • the frequency level can refer to the level division based on information dissemination theory, with 3 complaint frequencies as a grade, where the complaint frequency can be expressed as N; the standard score can represent the evaluation scores corresponding to different frequency levels
  • a 5-point system evaluation standard is established for the standard score.
  • five frequency levels are divided. For example, when N ⁇ 3, the corresponding standard score is 1; when the complaint frequency is 3 ⁇ N ⁇ 6, the corresponding standard score is 2; when the complaint frequency is 6 ⁇ N ⁇ 10, the corresponding standard score is 3; when the complaint frequency is 10 ⁇ N ⁇ 15, the corresponding standard score is 4; when the complaint frequency N ⁇ 15, the corresponding standard score is 5.
  • the standard score of the complaint item under each data source can be determined by corresponding to the frequency level shown in Table 1.
  • the impact factor may indicate the degree of influence of each media platform (that is, data source), for example, the magnitude of the impact factor may be defined according to information such as the public awareness of the media platform, page views, and the like.
  • the method of determining the impact score of a complaint item may include: the method of calculating the weighted sum of the standard score of the complaint item under each media platform and the corresponding impact factors of each media platform; The method of calculating the average; or the method of adding, screening and eliminating the data source of the complained item, such as eliminating media platforms with low impact factors or adding other media platforms with high impact factors, etc.
  • the manner of determining the impact score can be flexibly allocated according to actual needs, the importance and concern of each data source, which is not limited in this embodiment.
  • determining the impact score of the complaint item includes: The corresponding impact factor is used as a weight, and the standard scores of the complaint item under each of the data sources are weighted and summed to obtain the impact score of the complaint item.
  • This embodiment takes five media platforms as data sources as an example, and Table 2 is a table of impact factors of each media platform.
  • Table 3 is an impact score table of a complaint item. As shown in Table 3, for a complaint item, according to the complaint frequency of the complaint item calculated by each media platform, the standard score of the complaint item under each media platform can be obtained, and then the corresponding impact factor of each media platform As a weight, the weighted sum of the standard scores of the complaint item under each media platform can be used to obtain the impact score of the complaint item.
  • Na, Nb, Nc, Nd, and Ne can respectively represent the complaint frequency of complaint items under each media platform a, b, c, d, and e;
  • Ya, Yb, Yc, Yd, Ye can respectively represent complaint items
  • S260 Determine the severity and/or urgency of each complaint item according to the impact score of each complaint item.
  • the severity and/or urgency of each complaint item can be judged according to the level of the impact score.
  • the severity can indicate the severity of the complaint item to the user or the performance of the vehicle; the urgency can indicate the urgency of the complaint item.
  • Table 4 is a correspondence table between the impact score and the severity and urgency of each complaint item. As shown in Table 4, for the severity of each complaint item, when the impact score is 0.5, the severity is occasional, which can indicate that the complaint item occurs occasionally; when the impact score is 1 or 1.5, the severity is slight ; when the impact score is 2, 2.5 or 3, the severity is moderate; when the impact score is 3.5, 4 or 4.5, the severity is severe; when the impact score is 5, the severity is fatal.
  • the urgency of each complaint item when the impact score is 0.5, 1 or 1.5, the urgency is Low; when the impact score is 2, 2.5 or 3, the urgency is Medium; When the impact score is 3.5, 4 or 4.5, the urgency is High; when the impact score is 5, the urgency is Urgent.
  • technicians can judge the severity and/or urgency of each complaint item according to the impact score, and then perform certain NVH performance development or optimization for each complaint item according to the severity and urgency of each complaint item .
  • Embodiment 2 of the present application provides a vehicle sound quality assessment method, which describes the process of determining the impact score of each complaint item according to complaint data.
  • the method of determining the impact score of the complaint item through the standard score of the complaint item under each data source and the corresponding impact factor of each data source can obtain the evaluation criteria of each complaint item, and can also be based on the impact Scores are used to judge the severity and urgency of each complaint item, and to realize the evaluation of the complaint dimension of each sub-item of vehicle NVH, so as to facilitate the development and optimization of NVH performance.
  • Fig. 3 is a schematic flow chart of a vehicle sound quality evaluation method provided in Embodiment 3 of the present application. Embodiment 3 is refined on the basis of the above-mentioned embodiments.
  • This embodiment provides a method for evaluating the overall NVH complaint dimension of the vehicle by determining the NVH complaint factor of the vehicle sound quality. In this embodiment, the process of how to determine the NVH complaint factor of the vehicle sound quality according to the complaint data is carried out. describe. It should be noted that for technical details not exhaustively described in this embodiment, reference may be made to any of the foregoing embodiments.
  • a method for evaluating vehicle sound quality includes the following steps:
  • S310 Collect user complaint information according to keywords related to vehicle sound quality.
  • S320 Extract complaint data from the user complaint information, where the complaint data includes at least one complaint item, a complaint frequency corresponding to each complaint item, and a data source corresponding to each complaint item.
  • the data on NVH issues can be obtained by conducting market user research on vehicles, for example, using J.D.POWER IQS (Initial Quality Study, new car quality research) market NVH research data, or using network public opinion data or market dedicated to each company
  • the survey data, or data downloaded from a public database or an Internet of Vehicles database, etc., is not limited in this embodiment.
  • J.D.POWER is one of the largest and most comprehensive customer satisfaction databases in the world developed and maintained, which includes many consumers in various fields. and services, such as the automotive sector.
  • the PP100 index contains multiple NVH complaints; among them, PP100 can represent the average number of problems complained by users per 100 vehicles.
  • the NVH problems include: wind noise problems, road noise problems, quality problems and abnormal noise problems.
  • the NVH complaints in the PP100 index can be divided into four types of NVH problems according to their respective characteristics, namely wind noise problems, road noise problems, quality problems and abnormal noise problems; and then according to the NVH complaints problems Content description, classifies and summarizes multiple NVH complaints corresponding to four types of NVH problems, and obtains the frequency of complaints corresponding to the four types of NVH problems according to the statistical analysis results.
  • the frequency level may refer to the level division of the complaint frequency according to a set step size, and the set step size may be fixed or may change with a certain regularity, which is not limited in this embodiment. Then according to the frequency level of the complaint frequency corresponding to each NVH problem, the problem coefficient corresponding to each NVH problem can be determined, wherein the problem coefficient can indicate the importance of each NVH problem to the user or vehicle NVH performance.
  • the frequency grades of the complaint frequency are divided according to a set step size, wherein the set step size is a fixed value, or is positively correlated with the complaint frequency.
  • the setting step size may be a fixed value, for example, a frequency level may be set every 20 complaint frequencies, or a frequency level may be set every 30 complaint frequencies. Or the setting step size can also be positively correlated with the frequency of complaints.
  • the frequency level interval can increase regularly, which can be expressed as N ⁇ 20, 20 ⁇ N ⁇ 50, 50 ⁇ N ⁇ 90, 90 ⁇ N ⁇ 140, ..., By analogy, each interval increases the frequency of complaints by 10 on the basis of the previous interval.
  • the step size of the frequency level can be flexibly set according to actual needs, which is not limited in this embodiment.
  • this embodiment uses a fixed step value as an example to classify the frequency of complaint frequency
  • Table 5 is a table of NVH complaint factors.
  • the set fixed step size is 20 complaint frequencies, and different frequency levels correspond to different problem coefficients M. Then, according to the complaint frequency corresponding to each NVH problem, the corresponding frequency level is determined, thereby determining each NVH
  • Q represents the NVH complaint factor. Q can be obtained by weighting and summing the coefficients of each problem according to the set weight.
  • Embodiment 3 of the present application provides a method for evaluating vehicle sound quality, which describes the process of determining the NVH complaint factor of vehicle sound quality according to complaint data.
  • the method of determining the NVH complaint factors through the problem coefficients and setting weights corresponding to each NVH problem can realize the evaluation of the overall vehicle NVH complaint dimension. According to the evaluation results, the performance level of the NVH of the whole vehicle is measured, so as to facilitate the development and optimization of the NVH performance of the whole vehicle.
  • Fig. 4 is a schematic structural diagram of a vehicle sound quality evaluation device provided in Embodiment 4 of the present application, and the device may be implemented by software and/or hardware. As shown in FIG. 4 , the device includes: a collection module 410 , an extraction module 420 and an evaluation module 430 .
  • the collection module 410 is configured to collect user complaint information according to keywords related to vehicle sound quality
  • the extraction module 420 is configured to extract complaint data from the user complaint information, the complaint data includes at least one complaint item, the frequency of complaints corresponding to each complaint item, and the data source corresponding to each complaint item;
  • the evaluation module 430 is configured to determine the evaluation result of the vehicle sound quality according to the complaint data, and the evaluation result includes the influence score of each of the complaint items and the NVH complaint factor of the vehicle sound quality.
  • the device first collects user complaint information through the collection module, then extracts complaint data through the extraction module, and finally determines the evaluation result of the vehicle sound quality through the evaluation module.
  • the device can obtain relatively comprehensive automotive NVH complaint items and realize the monitoring of market NVH complaint items.
  • the NVH evaluation level of automotive products in the market can be obtained, and a comprehensive evaluation of NVH performance can be realized , in order to facilitate the development and optimization of NVH performance.
  • the evaluation module 430 executes "determining the impact score of each complaint item according to the complaint data", it specifically includes:
  • the first frequency statistics unit is configured to, for each complaint item, count the complaint frequency of the complaint item under each of the data sources;
  • the standard score determination unit is configured to determine the standard score of the complaint item under each of the data sources according to the frequency level to which the frequency of complaints under each of the data sources belongs;
  • the impact score determination unit is configured to determine the impact score of the complaint item according to the standard score of the complaint item under each of the data sources and the impact factor corresponding to each of the data sources.
  • the impact score determination unit is specifically set to:
  • the standard scores of the complaint item under each of the data sources are weighted and summed to obtain the impact score of the complaint item.
  • the device also includes:
  • the severity and/or urgency of each complaint item is determined according to the impact score of each complaint item.
  • the evaluation module 430 executes "determining the NVH complaint factor of the vehicle sound quality according to the complaint data", it specifically further includes:
  • the second frequency statistics unit is configured to obtain the frequency of complaints corresponding to a plurality of NVH problems according to the complaint data
  • the problem coefficient determination unit is configured to determine the problem coefficient corresponding to each of the NVH problems according to the frequency level to which the complaint frequency corresponding to each of the NVH problems belongs;
  • the NVH complaint factor determination unit is configured to perform weighted summation on each of the problem coefficients according to the set weight to obtain the NVH complaint factor.
  • the NVH problems include: wind noise problems, road noise problems, quality problems and abnormal noise problems.
  • the evaluation module 430 executes "determining the NVH complaint factor of the vehicle sound quality according to the complaint data", it is further specifically set to:
  • the frequency grade of the complaint frequency is divided according to the set step size, wherein the set step size is a fixed value, or is positively correlated with the complaint frequency.
  • the vehicle sound quality assessment device described above can execute the vehicle sound quality assessment method provided in any embodiment of the present application, and has corresponding functional modules and beneficial effects for executing the method.
  • FIG. 5 is a schematic structural diagram of an evaluation device provided in Embodiment 5 of the present application.
  • the evaluation device provided by Embodiment 5 of the present application includes: one or more processors 41 and storage devices 42; there may be one or more processors 41 in the evaluation device.
  • the memory device 41 is used as an example; the storage device 42 is used to store one or more programs; the one or more programs are executed by the one or more processors 41, so that the one or more processors 41 realize the The vehicle sound quality evaluation method described in any one of the embodiments.
  • the evaluation device may further include: an input device 43 and an output device 44 .
  • the processor 41 , storage device 42 , input device 43 and output device 44 in the evaluation device may be connected via a bus or in other ways.
  • connection via a bus is taken as an example.
  • the storage device 42 in the evaluation device can be used to store one or more programs, and the programs can be software programs, computer-executable programs and modules, such as the first, second or second embodiments of the present application.
  • Program instructions/modules corresponding to the three provided vehicle sound quality assessment methods for example, the modules in the vehicle sound quality assessment device shown in FIG. 4 , including: collection module 410, extraction module 420, and evaluation module 430).
  • the processor 41 executes various functional applications and data processing of the evaluation device by running the software programs, instructions and modules stored in the storage device 42 , that is, implements the vehicle sound quality evaluation method in the above method embodiments.
  • the storage device 42 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the evaluation device, and the like.
  • the storage device 42 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices.
  • the storage device 42 may further include memories that are remotely located relative to the processor 41, and these remote memories may be connected to the evaluation device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the input device 43 can be used to receive inputted numerical or character information, and to generate key signal input related to user settings and function control of the evaluation device.
  • the output device 44 may include a display device such as a display screen.
  • the programs when one or more programs included in the evaluation device are executed by the one or more processors 41, the programs perform the following operations: collect user complaint information according to keywords related to vehicle sound quality; collect user complaint information from the user complaint Complaint data is extracted from the information, and the complaint data includes at least one complaint item, the complaint frequency corresponding to each of the complaint items, and the data source corresponding to each of the complaint items; the evaluation result of the vehicle sound quality is determined according to the complaint data, and the The above evaluation results include the impact scores of each of the complaint items and the NVH complaint factor of the vehicle sound quality.
  • Embodiment 6 of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it is used to implement a vehicle sound quality assessment method, the method comprising: according to the key related to the vehicle sound quality word to collect user complaint information; extract complaint data from the user complaint information, the complaint data includes at least one complaint item, the frequency of complaints corresponding to each of the complaint items, and the data source corresponding to each of the complaint items; according to the The complaint data determines the evaluation result of the vehicle sound quality, and the evaluation result includes the impact score of each of the complaint items and the NVH complaint factor of the vehicle sound quality.
  • the program when executed by the processor, it can also be used to execute the vehicle sound quality evaluation method provided in any embodiment of the present application.
  • the computer storage medium in the embodiments of the present application may use any combination of one or more computer-readable media.
  • the computer readable medium may be a computer readable signal medium or a computer readable storage medium.
  • a computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof.
  • Computer-readable storage media include: electrical connections with one or more conductors, portable computer disks, hard disks, Random Access Memory (RAM), read-only memory (Read Only Memory, ROM), Erasable Programmable Read Only Memory (EPROM), Flash Memory, Optical Fiber, Portable CD-ROM (Compact Disc Read-Only Memory, Compact Disc Read-Only Memory) , an optical storage device, a magnetic storage device, or any suitable combination of the above.
  • a computer readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.
  • the storage medium may be a non-transitory storage medium.
  • a computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to: electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. .
  • Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wires, optical cables, radio frequency (Radio Frequency, RF), etc., or any suitable combination of the above.
  • any appropriate medium including but not limited to: wireless, wires, optical cables, radio frequency (Radio Frequency, RF), etc., or any suitable combination of the above.
  • Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional Procedural Programming Language - such as "C" or a similar programming language.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g. using an Internet Service Provider to connect via the Internet).
  • LAN local area network
  • WAN wide area network
  • Internet Service Provider to connect via the Internet

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Abstract

一种车辆声品质评估方法、装置、评估设备及存储介质。方法包括：根据与车辆声品质相关的关键词搜集用户抱怨信息；从用户抱怨信息中提取抱怨数据，抱怨数据包括至少一个抱怨项、每个抱怨项对应的抱怨频次以及每个抱怨项对应的数据来源；根据抱怨数据确定车辆声品质的评估结果，评估结果包括每个抱怨项的影响分值以及车辆声品质的NVH抱怨因子。

Description

车辆声品质评估方法、装置、评估设备及存储介质
本申请要求在2021年09月22日提交中国专利局、申请号为202111105293.6的中国专利申请的优先权，以上申请的全部内容通过引用结合在本申请中。
技术领域
本申请实施例涉及大数据技术领域，例如涉及一种车辆声品质评估方法、装置、评估设备及存储介质。
背景技术
随着科技的发展，互联网信息具有操作简单、传播速度快、分布广等特点，极易对用户产生一定的诱导作用，尤其是在汽车行业，用户通常会通过网络，了解和关注车型相关的抱怨信息，这些信息可能会侧面影响用户的满意度和使用意向。此外，随着汽车行业的发展，用户对汽车声品质，即噪声、振动与声振粗糙度(Noise、Vibration、Harshness)性能的要求越来越高。大量的互联网信息从很多维度反映了车辆的NVH性能，目前的评估方法难以利用海量的互联网信息对车辆的NVH性能进行全面的评估，具有一定的片面性，也使得汽车NVH性能的开发和优化较困难。
发明内容
本申请实施例提供了一种车辆声品质评估方法、装置、评估设备及存储介质。
第一方面，本申请实施例提供了一种车辆声品质评估方法，包括：
根据与车辆声品质相关的关键词搜集用户抱怨信息；
从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、每个抱怨项对应的抱怨频次以及每个抱怨项对应的数据来源；
根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括每个抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
第二方面，本申请实施例还提供了一种车辆声品质评估装置，包括：
搜集模块，设置为根据与车辆声品质相关的关键词搜集用户抱怨信息；
提取模块，设置为从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、每个抱怨项对应的抱怨频次以及每个抱怨项对应的数据来源；
评估模块，设置为根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括每个抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
第三方面，本申请实施例还提供了一种评估设备，包括：
一个或多个处理器；
存储装置，设置为存储一个或多个程序；
所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现本申请实施例提供的车辆声品质评估方法。
第四方面，本申请实施例还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现本申请实施例提供的车辆声品质评估方法。
附图说明
图1为本申请实施例一提供的一种车辆声品质评估方法的流程示意图；
图2为本申请实施例二提供的一种车辆声品质评估方法的流程示意图；
图3为本申请实施例三提供的一种车辆声品质评估方法的流程示意图；
图4为本申请实施例四提供的一种车辆声品质评估装置的结构示意图；
图5为本申请实施例五提供的一种评估设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
在更加详细地讨论示例性实施例之前应当提到的是，一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将各项操作(或步骤)描述成顺序的处理，但是其中的许多操作可以被并行地、并发地或者同时实施。此外，各项操作的顺序可以被重新安排。当其操作完成时所述处理可以被终止，但是还可以具有未包括在附图中的附加步骤。所述处理可以对应于方法、函数、规程、子例程、子程序等等。此外，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
本申请使用的术语“包括”及其变形是开放性包括，即“包括但不限于”。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”。
需要注意，本申请中提及的“第一”、“第二”等概念仅用于对相应内容进行区分，并非用于限定顺序或者相互依存关系。
需要注意，本申请中提及的“一个”、“多个”的修饰是示意性而非限制性的，本领域技术人员应当理解，除非在上下文另有明确指出，否则应该理解为“一个或多个”。
实施例一
图1为本申请实施例一提供的一种车辆声品质评估方法的流程示意图，该方法可进行汽车NVH性能的评估，该方法可以由车辆声品质评估装置来执行，其中该装置可由软件和/或硬件实现，并一般集成在具备数据处理能力的评估设备上，在本实施例中评估设备包括但不限于：台式计算机、笔记本电脑和服务器等设备。
如图1所示，本申请实施例一提供的一种车辆声品质评估方法，该方法包括如下步骤：
S110、根据与车辆声品质相关的关键词搜集用户抱怨信息。
其中，声品质可以指在特定的技术目标或任务内涵中研究的声音的适宜性；声品质中的“声”可以指人耳的听觉感知，“品质”可以指根据人耳对声音的听觉感知所做出的主观判断。车辆声品质可以指用户根据人耳对车辆噪声、振动与声振粗糙度，即NVH的听觉感知所做出的主观判断或评价，车辆声品质可以用于衡量车辆的NVH性能水平。
在本实施例中，可以通过在互联网的各个信息媒介数据(即网络舆情大数据)中，采用网络爬虫技术手段，搜集与车辆声品质相关的用户抱怨信息，其中信息媒介可以包括主流的媒体网站、论坛以及贴吧等，本实施例对此不作限定。例如，技术人员可以利用网络爬虫的技术手段，在主流的媒体网站、论坛和贴吧等信息媒介，通过对与车辆声品质相关的关键词的检索，搜集相关的用户语言抱怨信息内容(即用户抱怨信息)，其中所搜集的用户语言抱怨信息内容中可以包含车型信息、用户的抱怨问题描述以及数据来源等关键信息。
本实施例通过对网络舆情大数据的关键词检索，能够搜集到相关的NVH用户抱怨信息，根据NVH用户抱怨信息能够较全面的了解NVH市场抱怨情况。
此外，还可通过定期的检索搜集实现用户抱怨信息的更新迭代，从而实现对汽车NVH市场抱怨情况的跟踪。
S120、从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个 抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源。
其中，将所搜集的用户抱怨信息中具有相同属性的抱怨问题合并为一项，称为抱怨项；且从用户抱怨信息中提取的抱怨数据中包括至少一个抱怨项。例如，首先根据所搜集的用户抱怨信息，从中提取出关键用户抱怨点，并加以转化成工程语言；然后对具有相同属性的抱怨问题进行合并同类项，汇总成至少一个抱怨项，且根据用户抱怨信息中的车型信息可以分类得到各车型的抱怨项，其中每种车型包括至少一个抱怨项；最后还可以将所获得各车型的抱怨项汇总形成一种各车型NVH抱怨数据库。
抱怨频次可以指用户针对某抱怨项所抱怨的次数。数据来源可以指抱怨项数据所归属的各个信息媒介，即步骤S110所述的主流的媒体网站、论坛以及贴吧等信息媒介。
S130、根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括各所述抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
其中，影响分值可以用于反映用户的满意度或抱怨程度，也可以用于体现各抱怨项对用户、对车辆声品质以及对车辆性能改进和维护的重要程度；例如，根据某抱怨项影响分值的高低可以判断该抱怨项的严重程度以及消费者负面影响力；消费者负面影响力可以指消费者对该抱怨项的抱怨评价对其他消费者所产生的负面影响。
NVH抱怨因子可以用于反映车辆NVH性能的整体水平，根据NVH抱怨因子可以全面可靠地对车辆NVH性能进行综合评估。
在本实施例中，各抱怨项的影响分值可以作为车辆NVH各子项抱怨维度的评价标准或依据。NVH抱怨因子可以作为车辆NVH总体抱怨维度的评价标准或依据。
本申请实施例一提供的一种车辆声品质评估方法，首先根据与车辆声品质相关的关键词搜集用户抱怨信息，然后从用户抱怨信息中提取抱怨数据，最后根据抱怨数据确定车辆声品质的评估结果。该方法通过从大量的互联网数据中搜集用户抱怨信息，能够获取较为全面的汽车NVH抱怨项，实现对市场NVH抱怨项的监控。还可通过分析从用户抱怨信息中所提取的抱怨数据，确定各抱怨项的影响分值以及车辆声品质的NVH抱怨因子，能够获取汽车产品在市场中的NVH评价水平，实现对NVH性能的综合评估，以便于NVH性能的开发和优化。
实施例二
图2为本申请实施例二提供的一种车辆声品质评估方法的流程示意图，本实施例二在上述各实施例的基础上进行细化。本实施例提供了一种通过确定各抱怨项的影响分值对车辆NVH各子项抱怨维度进行评估的方法，在本实施例中，对如何根据抱怨数据确定各抱怨项的影响分值的过程进行了描述。需要说明的是，未在本实施例中详尽描述的技术细节可参见上述任意实施例。
如图2所示，本申请实施例二提供的一种车辆声品质评估方法，该方法包括如下步骤：
S210、根据与车辆声品质相关的关键词搜集用户抱怨信息。
在本实施例中，可以通过在各媒体平台的网络舆情大数据中，根据与车辆声品质相关的关键词搜集用户抱怨信息。
S220、从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源。
其中，各抱怨项对应的数据来源可以指上述S210中的各媒体平台。
S230、对于每个抱怨项，统计该抱怨项在各所述数据来源下的抱怨频次。
其中，每个抱怨项在不同的数据来源下的抱怨频次不同，例如，在不同的媒体平台中，针对每个抱怨项的抱怨频次不同。
S240、根据在各所述数据来源下的抱怨频次所属的频次等级，确定该抱怨项在各所述数据来源下的标准分值。
其中，表1为一种抱怨频次与标准分值间的对应关系表。如表1所示，频次等级可以指根据信息传播相关理论，以3抱怨频次为一档所进行的等级划分，其中抱怨频次可表示为N；标准分值可以表示不同频次等级所对应的评价分值，在本实施例中对标准分值建立5分制评价标准。本实施例共划分了5个频次等级，例如，当N＜3时，对应标准分值为1；当抱怨频次3≤N＜6时，对应标准分值为2；当抱怨频次6≤N＜10时，对应标准分值为3；当抱怨频次10≤N＜15时，对应标准分值为4；当抱怨频次N≥15时，对应标准分值为5。
表1抱怨频次与标准分值间的对应关系表
标准分值(分) 1 2 3 4 5
抱怨频次(N) N＜3 3≤N＜6 6≤N＜10 10≤N＜15 N≥15
例如，对于每个抱怨项，根据该抱怨项在各数据来源下的抱怨频次，通过对应表1所示的频次等级，可以确定该抱怨项在各数据来源下的标准分值。
S250、根据该抱怨项在各所述数据来源下的标准分值，以及各所述数据来 源对应的影响因子，确定该抱怨项的影响分值。
其中，影响因子可以表示各媒体平台(即数据来源)的影响程度，例如可以根据媒体平台的公众认知度、浏览量等信息定义影响因子的大小。
确定某抱怨项的影响分值的方式可以包括：对该抱怨项在各媒体平台下的标准分值以及各媒体平台对应的影响因子进行加权求和计算的方式；对各标准分值以及影响因子求平均值的方式；或者是对该抱怨项的数据来源进行增加、筛选和淘汰等步骤的方式，例如可以将影响因子低的媒体平台淘汰掉或者增加影响因子高的其他媒体平台等。确定影响分值的方式可根据实际需求、各数据来源的重要程度和关注程度灵活分配，在本实施例中对此不作限定。
在一实施例中，根据该抱怨项在各所述数据来源下的标准分值，以及各所述数据来源对应的影响因子，确定该抱怨项的影响分值，包括：将各所述数据来源对应的影响因子作为权重，对该抱怨项在各所述数据来源下的标准分值进行加权求和，得到该抱怨项的影响分值。
本实施例以5个媒介平台作为数据来源为例，表2为一种各媒体平台的影响因子表。如表2所示，影响因子可以用K来表示，其中，Ka、Kb、Kc、Kd和Ke可以分别表示媒体平台a、b、c、d和e的影响因子。需要注意的是，本实施例中各个影响因子之和为1，即Ka+Kb+Kc+Kd+Ke＝1。
表2各媒体平台的影响因子表
媒体平台 a b c d e
影响因子(K) Ka Kb Kc Kd Ke
表3为一种抱怨项的影响分值表。如表3所示，针对某一抱怨项，根据各媒体平台所统计的该抱怨项的抱怨频次，可以获得该抱怨项在各媒体平台下的标准分值，然后将各媒体平台对应的影响因子作为权重，对该抱怨项在各媒体平台下的标准分值进行加权求和，可以得到该抱怨项的影响分值。表3中，Na、Nb、Nc、Nd、Ne可以分别表示抱怨项在各媒体平台a、b、c、d和e下的抱怨频次；Ya、Yb、Yc、Yd、Ye可以分别表示抱怨项在各媒体平台a、b、c、d和e下的标准分值；W可以表示抱怨项的影响分值，其计算公式可表示为W＝Ka*Ya+Kb*Yb+Kc*Yc+Kd*Yd+Ke*Ye。
表3抱怨项的影响分值表
Figure PCTCN2022118374-appb-000001
Figure PCTCN2022118374-appb-000002
S260、根据各所述抱怨项的影响分值确定各所述抱怨项的严重度和/或紧急度。
其中，可以根据影响分值的高低来判断各抱怨项的严重度和/或紧急度。严重度可以表示该抱怨项对用户或车辆性能的严重程度；紧急度可以表示该抱怨项的紧急程度。表4为一种影响分值与各抱怨项严重度和紧急度间的对应关系表。如表4所示，针对各抱怨项严重度而言，当影响分值为0.5时，严重度为偶发，可以表示该抱怨项偶尔发生；当影响分值为1或1.5时，严重度为轻微；当影响分值为2、2.5或3时，严重度为中等；当影响分值为3.5、4或4.5时，严重度为严重；当影响分值为5时，严重度为致命。针对各抱怨项紧急度而言，当影响分值为0.5、1或1.5时，紧急度为低(Low)；当影响分值为2、2.5或3时，紧急度为中(Medium)；当影响分值为3.5、4或4.5时，紧急度为高(High)；当影响分值为5时，紧急度为紧急(Urgent)。
表4影响分值与各抱怨项严重度和紧急度间的对应关系表
Figure PCTCN2022118374-appb-000003
在本实施例中，技术人员可以根据影响分值来判断各抱怨项的严重度和/或紧急度，然后根据各抱怨项的严重程度和紧急程度对各抱怨项进行一定的NVH性能开发或优化。
本申请实施例二提供的一种车辆声品质评估方法，描述了根据抱怨数据确定各抱怨项的影响分值的过程。本实施例通过抱怨项在各数据来源下的标准分值，以及各数据来源对应的影响因子，确定该抱怨项的影响分值的方法，能够获得各抱怨项的评价标准，并且还能够根据影响分值大小来判断各抱怨项的严重程度和紧急程度，实现对车辆NVH各子项抱怨维度的评估，以便于NVH性能的开发和优化。
实施例三
图3为本申请实施例三提供的一种车辆声品质评估方法的流程示意图，本 实施例三在上述各实施例的基础上进行细化。本实施例提供了一种通过确定车辆声品质的NVH抱怨因子对车辆NVH总体抱怨维度进行评估的方法，在本实施例中，对如何根据抱怨数据确定车辆声品质的NVH抱怨因子的过程进行了描述。需要说明的是，未在本实施例中详尽描述的技术细节可参见上述任意实施例。
如图3所示，本申请实施例三提供的一种车辆声品质评估方法，该方法包括如下步骤：
S310、根据与车辆声品质相关的关键词搜集用户抱怨信息。
S320、从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源。
S330、根据所述抱怨数据，统计得到多个NVH问题对应的抱怨频次。
其中，NVH问题的数据可以通过对车辆进行市场用户调研的方式获取，例如可使用J.D.POWER IQS(Initial Quality Study，新车质量研究)市场NVH调研数据，也可以使用网络舆情数据或者各公司专用的市场调研数据，或者也可以是从公共数据库或车联网数据库中下载的数据等，本实施例对此不作限定。
在本实施例中，所使用的是J.D.POWER市场NVH调研数据，J.D.POWER是一种开发并维护着世界上现存最大、最全面的用户满意度数据库之一，其中包括各领域众多消费者对产品和服务等方面的反馈信息，例如汽车领域。在J.D.POWER市场NVH调研数据中，PP100指标中包含多个NVH抱怨类问题；其中，PP100可以表示平均每百辆车的用户抱怨的问题数。
在一实施例中，所述NVH问题包括：风噪类问题、路噪类问题、品质类问题和异响类问题。
其中，PP100指标中NVH抱怨类问题根据各自的特性可以分成四大类NVH问题，分别是风噪类问题、路噪类问题、品质类问题和异响类问题；然后可以根据NVH抱怨类问题的内容描述，将多个NVH抱怨类问题分别对应四大类NVH问题进行归类汇总，并且根据统计分析结果获得该四类NVH问题所对应的抱怨频次。
S340、根据各所述NVH问题对应的抱怨频次所属的频次等级，确定各所述NVH问题对应的问题系数。
其中，频次等级可以指按照设定的步长对抱怨频次的等级划分，所设定的步长可以是固定的，也可以是有一定规律变化的，本实施例对此不作限定。然后根据各NVH问题对应的抱怨频次所属的频次等级，可以确定各NVH问题对 应的问题系数，其中问题系数可以表示各NVH问题对于用户或车辆NVH性能的重要程度。
在一实施例中，按照设定步长划分抱怨频次的频次等级，其中，所述设定步长为固定值，或者与抱怨频次呈正相关。
其中，设定步长可以是固定值，例如可以每隔20抱怨频次设定一个频次等级，也可以每隔30抱怨频次设定一个频次等级。或者设定步长也可以是与抱怨频次呈正相关，例如频次等级间隔可以呈规律增长，可表示为N≤20、20＜N≤50、50＜N≤90、90＜N≤140、…，依此类推，每次间隔均在上一次的基础上增加10抱怨频次。在本实施例中，可以根据实际需求对频次等级的步长进行灵活设定，本实施例对此不作限定。
S350、按照设定权重对各所述问题系数进行加权求和，得到所述NVH抱怨因子。
其中，在J.D.POWER市场NVH调研数据中，根据统计分析结果可以得出风噪类问题、路噪类问题、品质类问题和异响类问题的权重比例分别是15％、30％、30％和25％。
示例性的，本实施例以固定步长值为例进行抱怨频次的频次等级划分，表5为一种NVH抱怨因子表。如表5所示，所设定的步长固定值为20抱怨频次，不同的频次等级对应不同的问题系数M，然后根据各NVH问题对应的抱怨频次，确定相应的频次等级，从而确定各NVH问题对应的问题系数M。Q表示NVH抱怨因子，Q可以按照设定权重对各问题系数进行加权求和得到，其计算公式可表示为Q＝M1*15％+M2*30％+M3*30％+M4*25％，其中M1可以表示风噪类问题系数，M2可以表示路噪类问题系数，M3可以表示品质类问题系数，M4可以表示异响类问题系数。
表5 NVH抱怨因子表
Figure PCTCN2022118374-appb-000004
本申请实施例三提供的一种车辆声品质评估方法，描述了根据抱怨数据确定车辆声品质的NVH抱怨因子的过程。本实施例通过各NVH问题所对应的问题系数和设定权重，确定NVH抱怨因子的方法，能够实现对车辆NVH总体抱怨维度的评估。根据评估结果来衡量整车NVH的性能水平，以便于整车NVH性能的开发和优化。
实施例四
图4为本申请实施例四提供的一种车辆声品质评估装置的结构示意图，该装置可由软件和/或硬件实现。如图4所示，该装置包括：搜集模块410、提取模块420以及评估模块430。
其中，搜集模块410，设置为根据与车辆声品质相关的关键词搜集用户抱怨信息；
提取模块420，设置为从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源；
评估模块430，设置为根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括各所述抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
在本实施例中，该装置首先通过搜集模块搜集用户抱怨信息，然后通过提取模块提取抱怨数据，最后通过评估模块确定车辆声品质的评估结果。该装置通过从大量的互联网数据中搜集用户抱怨信息，能够获取较为全面的汽车NVH抱怨项，实现对市场NVH抱怨项的监控。还通过分析从用户抱怨信息中所提取的抱怨数据，确定各抱怨项的影响分值以及车辆声品质的NVH抱怨因子，能够获取汽车产品在市场中的NVH评价水平，实现对NVH性能的综合评估，以便于NVH性能的开发和优化。
在一实施例中，评估模块430，在执行“根据所述抱怨数据确定各所述抱怨项的影响分值”时，具体包括：
第一频次统计单元，设置为对于每个抱怨项，统计该抱怨项在各所述数据来源下的抱怨频次；
标准分值确定单元，设置为根据在各所述数据来源下的抱怨频次所属的频次等级，确定该抱怨项在各所述数据来源下的标准分值；
影响分值确定单元，设置为根据该抱怨项在各所述数据来源下的标准分值，以及各所述数据来源对应的影响因子，确定该抱怨项的影响分值。
在一实施例中，影响分值确定单元具体设置为：
将各所述数据来源对应的影响因子作为权重，对该抱怨项在各所述数据来源下的标准分值进行加权求和，得到该抱怨项的影响分值。
在一实施例中，所述装置还包括：
根据各所述抱怨项的影响分值确定各所述抱怨项的严重度和/或紧急度。
在一实施例中，评估模块430，在执行“根据所述抱怨数据确定车辆声品质的NVH抱怨因子”时，具体还包括：
第二频次统计单元，设置为根据所述抱怨数据，统计得到多个NVH问题对应的抱怨频次；
问题系数确定单元，设置为根据各所述NVH问题对应的抱怨频次所属的频次等级，确定各所述NVH问题对应的问题系数；
NVH抱怨因子确定单元，设置为按照设定权重对各所述问题系数进行加权求和，得到所述NVH抱怨因子。
在一实施例中，所述NVH问题包括：风噪类问题、路噪类问题、品质类问题和异响类问题。
在一实施例中，评估模块430，在执行“根据所述抱怨数据确定车辆声品质的NVH抱怨因子”时，具体还设置为：
按照设定步长划分抱怨频次的频次等级，其中，所述设定步长为固定值，或者与抱怨频次呈正相关。
上述车辆声品质评估装置可执行本申请任意实施例所提供的车辆声品质评估方法，具备执行方法相应的功能模块和有益效果。
实施例五
图5为本申请实施例五提供的一种评估设备的结构示意图。如图5所示，本申请实施例五提供的评估设备包括：一个或多个处理器41和存储装置42；该评估设备中的处理器41可以是一个或多个，图5中以一个处理器41为例；存储装置42用于存储一个或多个程序；所述一个或多个程序被所述一个或多个处理器41执行，使得所述一个或多个处理器41实现如本申请实施例中任一项所述的车辆声品质评估方法。
所述评估设备还可以包括：输入装置43和输出装置44。
评估设备中的处理器41、存储装置42、输入装置43和输出装置44可以通过总线或其他方式连接，图5中以通过总线连接为例。
该评估设备中的存储装置42作为一种计算机可读存储介质，可用于存储一个或多个程序，所述程序可以是软件程序、计算机可执行程序以及模块，如本申请实施例一、二或三所提供车辆声品质评估方法对应的程序指令/模块(例如，附图4所示的车辆声品质评估装置中的模块，包括：搜集模块410、提取模块420以及评估模块430)。处理器41通过运行存储在存储装置42中的软件程序、指令以及模块，从而执行评估设备的各种功能应用以及数据处理，即实现上述方法实施例中车辆声品质评估方法。
存储装置42可包括存储程序区和存储数据区，其中，存储程序区可存储操作***、至少一个功能所需的应用程序；存储数据区可存储根据评估设备的使用所创建的数据等。此外，存储装置42可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中，存储装置42可进一步包括相对于处理器41远程设置的存储器，这些远程存储器可以通过网络连接至评估设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置43可用于接收输入的数字或字符信息，以及产生与评估设备的用户设置以及功能控制有关的键信号输入。输出装置44可包括显示屏等显示设备。
并且，当上述评估设备所包括一个或者多个程序被所述一个或者多个处理器41执行时，程序进行如下操作：根据与车辆声品质相关的关键词搜集用户抱怨信息；从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源；根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括各所述抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
实施例六
本申请实施例六提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时用于执行车辆声品质评估方法，该方法包括：根据与车辆声品质相关的关键词搜集用户抱怨信息；从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、各所述抱怨项对应的抱怨频次以及各所述抱怨项对应的数据来源；根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括各所述抱怨项的影响分值以及车辆声品质的NVH抱怨因子。
在一实施例中，该程序被处理器执行时还可以用于执行本申请任意实施例所提供的车辆声品质评估方法。
本申请实施例的计算机存储介质，可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是但不限于电、磁、光、电磁、红外线、或半导体的***、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(Random Access Memory，RAM)、只读存储器(Read Only Memory，ROM)、可擦式可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)、闪存、光纤、便携式CD-ROM(Compact Disc Read-Only Memory，紧凑型光盘只读储存器)、光存储器件、磁存储器件、或者上述的任意合适的组合。计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行***、装置或者器件使用或者与其结合使用。
存储介质可以是非暂态(non-transitory)存储介质。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于：电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行***、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、无线电频率(Radio Frequency，RF)等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN，Local Area Network)或广域网(WAN，Wide Area Network)——连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
上述仅为本申请的一些实施例及所运用技术原理。本领域技术人员会理解， 本申请不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本申请的保护范围。因此，虽然通过以上实施例对本申请进行了较为详细的说明，但是本申请不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本申请的范围由所附的权利要求范围决定。

Claims (10)

  1. 一种车辆声品质评估方法，包括：
    根据与车辆声品质相关的关键词搜集用户抱怨信息；
    从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、每个抱怨项对应的抱怨频次以及每个抱怨项对应的数据来源；
    根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括每个抱怨项的影响分值以及车辆声品质的噪声、振动与声振粗糙度NVH抱怨因子。
  2. 根据权利要求1所述的方法，其中，根据所述抱怨数据确定每个抱怨项的影响分值，包括：
    对于每个抱怨项，统计每个抱怨项在至少一个数据来源下的抱怨频次；
    根据在所述至少一个数据来源中的每个数据来源下的抱怨频次所属的频次等级，确定每个抱怨项在每个数据来源下的标准分值；
    根据每个抱怨项在每个数据来源下的标准分值，以及每个数据来源对应的影响因子，确定每个抱怨项的影响分值。
  3. 根据权利要求2所述的方法，其中，根据每个抱怨项在每个数据来源下的标准分值，以及每个数据来源对应的影响因子，确定每个抱怨项的影响分值，包括：
    将每个数据来源对应的影响因子作为权重，对每个抱怨项在每个数据来源下的标准分值进行加权求和，得到每个抱怨项的影响分值。
  4. 根据权利要求1所述的方法，还包括：
    根据每个抱怨项的影响分值确定每个抱怨项的严重度或紧急度中的至少一个。
  5. 根据权利要求1所述的方法，其中，根据所述抱怨数据确定车辆声品质的NVH抱怨因子，包括：
    根据所述抱怨数据，统计得到多个NVH问题对应的抱怨频次；
    根据每个NVH问题对应的抱怨频次所属的频次等级，确定每个NVH问题对应的问题系数；
    按照设定权重对每个问题系数进行加权求和，得到所述NVH抱怨因子。
  6. 根据权利要求5所述的方法，其中，所述多个NVH问题包括：风噪类问题、路噪类问题、品质类问题和异响类问题。
  7. 根据权利要求5所述的方法，还包括：按照设定步长划分抱怨频次的频次等级，其中，所述设定步长为固定值，或者与抱怨频次呈正相关。
  8. 一种车辆声品质评估装置，包括：
    搜集模块，设置为根据与车辆声品质相关的关键词搜集用户抱怨信息；
    提取模块，设置为从所述用户抱怨信息中提取抱怨数据，所述抱怨数据包括至少一个抱怨项、每个抱怨项对应的抱怨频次以及每个抱怨项对应的数据来源；
    评估模块，设置为根据所述抱怨数据确定车辆声品质的评估结果，所述评估结果包括每个抱怨项的影响分值以及车辆声品质的噪声、振动与声振粗糙度NVH抱怨因子。
  9. 一种评估设备，包括：
    一个或多个处理器；
    存储装置，设置为存储一个或多个程序；
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-7中任一所述的车辆声品质评估方法。
  10. 一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1-7中任一所述的车辆声品质评估方法。
PCT/CN2022/118374 2021-09-22 2022-09-13 车辆声品质评估方法、装置、评估设备及存储介质 WO2023045796A1 (zh)

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