Highway toll lane log collection and processing method and system

Abstract

The present invention relates to the field of data processing technology, and in particular to a method and system for collecting and processing logs of a toll lane of an expressway, comprising: collecting vehicle information of a vehicle, detecting the similarity between the vehicle information and preset vehicle information, a data analysis module determining whether the vehicle meets a preset standard for log collection according to the similarity between the vehicle information and the preset vehicle information, and controlling the collection module to collect the log information of the vehicle when it is determined that the vehicle meets the preset standard for log information collection, thereby improving the control accuracy of the vehicle information, avoiding the impact on the log information collection process of the vehicle due to an unqualified vehicle information collection process, and improving the log information collection efficiency, the data analysis module rating the log information according to the number of keywords extracted by the extraction module, and selecting a corresponding processing method to process the log information according to the proportion of data at each level, thereby improving the data processing efficiency of the log information.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for collecting and processing logs of toll lanes on expressways. Background Art

[0002] Lane logs play an important role in operational business analysis, special situation analysis, transaction reconciliation, toll auditing and other businesses. The existing technology uses the Filebeat lane log collection layer to read the lanes in the target highway toll station in real time, and obtains real-time global evaluation results to chain store Q toll lane log sequences, Q lane joint evaluation results and real-time global evaluation results based on the lane log storage layer, which improves the collection and processing efficiency. However, due to the large amount of log information data, the data processing efficiency is low.

[0003] Chinese patent application number: CN202311287134.1 discloses a method and system for collecting and processing logs of toll lanes on a highway. The invention discloses a method and system for collecting and processing logs of toll lanes on a highway, which relates to the field of data processing. The method includes: reading real-time logs of Q real-time toll lanes in a target highway toll station according to the Filebeat lane log collection layer to obtain Q lane real-time log sets; based on the log filter and log converter in the lane log preprocessing layer, respectively cleaning the Q lane real-time log sets to obtain Q toll lane log sequences; obtaining Q lane joint evaluation results; based on the Q lane joint evaluation results, obtaining real-time global evaluation results; based on the lane log storage layer, chaining and storing Q toll lane log sequences, Q lane joint evaluation results and real-time global evaluation results. The invention solves the technical problems of low efficiency in collecting and processing logs of toll lanes on highways and poor log analysis effect of toll lane logs on highways in the prior art. It can be seen that the method and system for collecting and processing logs of toll lanes on highways have the following problems: due to the large amount of log information data, the data processing efficiency is low. Summary of the invention

[0004] To this end, the present invention provides a method and system for collecting and processing logs of a highway toll lane, so as to overcome the problem of low data processing efficiency due to the large amount of log information data in the prior art.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for collecting and processing logs of toll lanes of expressways. The method comprises:

[0006] Step S1, the collection module collects vehicle information of the vehicle, the detection module detects the similarity between the vehicle information and the preset vehicle information, and the data analysis module determines whether it meets the preset standard for log information collection according to the measured similarity;

[0007] Step S2: When the data analysis module determines that the vehicle meets the preset log information collection standard, the data analysis module controls the collection module to collect the log information of the vehicle;

[0008] Step S3, the extraction module extracts keywords in the log information, and the data analysis module determines whether the log information meets the preset standard according to the number of the keywords, and marks the log information as primary data, secondary data, or tertiary data;

[0009] Step S4, the data analysis module processes the log information according to the proportion of each level of data, and the processing method includes: storing the log information in a database and filtering out the log information marked as level 3 data, or counting keyword information and updating the preset keywords in the database according to the keyword information;

[0010] Step S5: When the data analysis module completes updating the preset keywords in the database, the processing of the log information is completed.

[0011] Further, the detection module detects the similarity between the vehicle information of the collected single vehicle and the preset vehicle information preset in the data analysis module, and the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the similarity, and when it is determined that the vehicle does not meet the preset standard for log information collection, adjusts the clarity of the collected vehicle information to a corresponding value according to the similarity, or creates new preset vehicle information according to the collected vehicle information.

[0012] The data analysis module controls the collection module to collect the log information of the vehicle when determining that the vehicle meets the preset standard for log information collection.

[0013] Furthermore, when the data analysis module determines to adjust the clarity of the collected vehicle information to a corresponding value, a plurality of adjustment methods for the clarity of the collected vehicle information are provided based on the similarity, and the adjustment range of the clarity in each adjustment method is different.

[0014] Furthermore, the detection module redetermines the similarity between the vehicle information and the preset vehicle information preset in the data analysis module when completing the adjustment of the clarity of the vehicle information; the data analysis module determines whether the vehicle meets the preset standards for log information collection based on the redetermined similarity; and when it is determined that the vehicle meets the preset standards for log information collection, the collection module is controlled to collect the log information of the vehicle; when it is determined that the vehicle does not meet the preset standards for log information collection, the data analysis module creates new preset vehicle information according to the collected vehicle information.

[0015] Furthermore, the extraction module extracts keywords from the log information of the vehicle when the data analysis module determines that the vehicle meets the preset standard for log information collection, and the data analysis module records the ratio of the number of keywords that match the extracted keywords with the preset keywords preset in the database to the total number of keywords in the log information as a first-level ratio, and determines whether the log information meets the preset standard based on the first-level ratio, and, when it is determined that the log information meets the preset standard, stores the log information in the database and marks the log information as first-level data,

[0016] When the data analysis module determines that the log information does not meet the preset standard, the log information is marked as secondary data or tertiary data.

[0017] Furthermore, the data analysis module determines a processing method for the log information based on the proportion of each level of data obtained within a preset period, and the processing method includes: storing the log information in a database and filtering out log information marked as third-level data, and counting keyword information to update preset keywords in the database according to the keyword information.

[0018] Furthermore, when the data analysis module determines to filter out log information marked as tertiary data, the ratio of the number of secondary data to the number of primary data is recorded as the secondary ratio, and a processing method for the log information is determined based on the secondary ratio. The processing method includes: filtering out secondary data and updating preset keywords in the database.

[0019] Furthermore, when the data analysis module determines whether to update the preset keywords in the database based on the keyword information, it determines the comprehensive evaluation value S of the keyword based on the frequency P of occurrence of a single keyword contained in the log information that does not match the preset keywords in the database and the average time interval T of occurrence, and sets the comprehensive evaluation value S=P / P0+T0 / T, where P0 is the preset frequency preset in the data analysis module, and T0 is the preset average time interval preset in the data analysis module.

[0020] Furthermore, the data analysis module determines whether the keyword meets the preset update standard according to the comprehensive evaluation value of the single keyword, and updates the keyword into the database when it is determined that the keyword meets the update standard.

[0021] On the other hand, the present invention also provides a highway toll lane log collection and processing system, comprising:

[0022] A collection module, which is used to collect vehicle information and vehicle log information;

[0023] A detection module, connected to the acquisition module, for detecting the similarity between the vehicle information of a single vehicle acquired and the preset vehicle information;

[0024] a data analysis module connected to the acquisition module and the detection module, for determining whether the vehicle meets the preset log information collection standard according to the similarity measured by the detection module, and adjusting the clarity of the vehicle information to a corresponding value according to the similarity when determining that the vehicle does not meet the preset log information collection standard, or creating new preset vehicle information according to the collected vehicle information;

[0025] An extraction module is connected to the data analysis module and is used to extract keywords from the log information of the vehicle according to the determination result of the data analysis module.

[0026] Compared with the prior art, the beneficial effect of the present invention lies in that the data analysis module in the present invention determines whether the vehicle meets the preset standard for log collection based on the similarity between the vehicle information and the preset vehicle information, thereby improving the control accuracy of the vehicle information, avoiding the impact on the vehicle log information collection process due to unqualified vehicle information collection process, and improving the log information collection efficiency. The data analysis module rates the log information according to the number of keywords extracted by the extraction module, and selects the corresponding processing method to process the log information according to the proportion of data at each level, thereby improving the data processing efficiency of the log information.

[0027] Furthermore, the data analysis module in the present invention determines whether the vehicle quantity meets the preset standard for log information collection based on the similarity of the vehicle information, and when it is determined that the vehicle does not meet the preset standard for log information, the clarity of the vehicle information is adjusted to a corresponding value to re-detect the similarity of the vehicle information, thereby further improving the control accuracy of the vehicle information. The data analysis module creates new preset vehicle information according to the collected vehicle information, thereby avoiding the inability to collect log information due to mismatch between the pre-stored vehicle information and the vehicle information.

[0028] Furthermore, the data analysis module in the present invention selects a corresponding adjustment coefficient according to the difference between the similarity and the preset similarity to adjust the clarity of the vehicle information to a corresponding value, thereby improving the control accuracy of the vehicle information and further improving the efficiency of collecting log information.

[0029] Furthermore, the data analysis module in the present invention determines whether the vehicle information meets the preset standard for log information collection according to the re-determined similarity, which further improves the control accuracy of the log information collection process and improves the efficiency of log information collection.

[0030] Furthermore, the data analysis module in the present invention determines whether the log information meets the preset standard according to the number of keywords in the log information, and rates the log information according to the number of keywords, thereby improving the control accuracy of the log information and further improving the log information processing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a structural block diagram of the highway toll lane log collection and processing system of the present invention;

[0032] Figure 2 This is a flow chart of the method for collecting and processing logs of toll lanes on expressways according to the present invention;

[0033] Figure 3 A flow chart of the present invention for determining whether the vehicle meets the preset standard for log information collection;

[0034] Figure 4 This is a flow chart of the present invention for secondary determination of whether the vehicle meets the preset standard for log information collection. DETAILED DESCRIPTION

[0035] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0036] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0037] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0038] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] See also Figure 1As shown, it is a structural block diagram of the highway toll lane log collection and processing system of the present invention.

[0040] The highway toll lane log collection and processing system in the embodiment of the present invention includes:

[0041] A collection module, which is used to collect vehicle information and vehicle log information;

[0042] A detection module, connected to the acquisition module, for detecting the similarity between the vehicle information of a single vehicle acquired and the preset vehicle information;

[0043] a data analysis module connected to the acquisition module and the detection module, for determining whether the vehicle meets the preset log information collection standard according to the similarity measured by the detection module, and adjusting the clarity of the vehicle information to a corresponding value according to the similarity when determining that the vehicle does not meet the preset log information collection standard, or creating new preset vehicle information according to the collected vehicle information;

[0044] An extraction module is connected to the data analysis module and is used to extract keywords from the log information of the vehicle according to the determination result of the data analysis module.

[0045] See also Figure 2 As shown, it is a flow chart of the method for collecting and processing logs of highway toll lanes according to the present invention.

[0046] The method for collecting and processing logs of a toll lane on a highway in an embodiment of the present invention includes:

[0047] Step S1, the collection module collects vehicle information of the vehicle, the detection module detects the similarity between the vehicle information and the preset vehicle information, and the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the measured similarity;

[0048] Step S2: When the data analysis module determines that the vehicle meets the preset log information collection standard, the data analysis module controls the collection module to collect the log information of the vehicle;

[0049] Step S3, the extraction module extracts keywords in the log information, and the data analysis module determines whether the log information meets the preset standard according to the number of the keywords, and marks the log information as primary data, secondary data, or tertiary data;

[0050] Step S4, the data analysis module processes the log information according to the proportion of each level of data, and the processing method includes: storing the log information in a database and filtering out the log information marked as level 3 data, or counting keyword information and updating the preset keywords in the database according to the keyword information;

[0051] Step S5: When the data analysis module completes updating the preset keywords in the database, the processing of the log information is completed.

[0052] The data analysis module described in the present invention determines whether the vehicle meets the preset log collection standard based on the similarity between the vehicle information and the preset vehicle information, thereby improving the control accuracy of the vehicle, avoiding the impact on the vehicle log information collection process due to unqualified vehicle information collection process, and improving the log information collection efficiency. The data analysis module rates the log information according to the number of keywords extracted by the extraction module, and selects the corresponding processing method to process the log information according to the proportion of data at each level, thereby improving the data processing efficiency of the log information.

[0053] See also Figure 3 As shown, it is a flow chart of the present invention for determining whether the vehicle meets the preset standard for log information collection.

[0054] Specifically, the detection module detects the similarity between the vehicle information of a single vehicle collected and the preset vehicle information preset in the data analysis module, and the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the similarity, wherein:

[0055] The first determination method is that the data analysis module determines that the vehicle meets the preset log information collection standard and controls the collection module to collect the log information of the vehicle; the first determination method satisfies that the similarity is greater than or equal to the first preset similarity preset in the data analysis module;

[0056] The second determination method is that the data analysis module determines to adjust the clarity of the collected vehicle information to a corresponding value according to the similarity; the second determination method satisfies that the similarity is less than the first preset similarity and is greater than or equal to a second preset similarity preset in the data analysis module;

[0057] The third determination method is that the data analysis module determines that the vehicle does not meet the preset standard for log information collection, and creates new preset vehicle information according to the collected vehicle information; the third determination method satisfies that the similarity is less than the second preset similarity.

[0058] In the embodiment of the present invention, the first preset similarity is 0.95, and the second preset similarity is 0.85.

[0059] The data analysis module in the present invention determines whether the vehicle quantity meets the preset standard for log information collection based on the similarity of the vehicle information, and when it is determined that the vehicle does not meet the preset standard for log information, the clarity of the vehicle information is adjusted to a corresponding value to re-detect the similarity of the vehicle information, thereby further improving the control accuracy of the vehicle information. The data analysis module creates new preset vehicle information according to the collected vehicle information, thereby avoiding the inability to collect log information due to mismatch between the pre-stored vehicle information and the vehicle information.

[0060] Specifically, the data analysis module records the difference between the similarity and the second preset similarity as a primary difference under the second determination mode, and determines an adjustment method for the clarity of the collected vehicle information according to the primary difference, wherein:

[0061] The first adjustment method is that the data analysis module selects the first adjustment coefficient α1 to adjust the clarity D of the collected vehicle information to a corresponding value, and sets the adjusted clarity D'=α1×D0, where D0 is the initial clarity before adjustment; the first adjustment method satisfies that the first-level difference is less than or equal to the preset first-level difference preset in the data analysis module;

[0062] The second adjustment method is that the data analysis module selects the second adjustment coefficient α2 to adjust the clarity D of the collected vehicle information to a corresponding value, and sets the adjusted clarity D'=α2×D0; the second adjustment method satisfies that the first-level difference is greater than the preset first-level difference.

[0063] In the embodiment of the present invention, the first adjustment coefficient α1 is 1.2, the second adjustment coefficient α2 is 1.3, and the preset first-order difference is 0.2.

[0064] The data analysis module in the present invention selects a corresponding adjustment coefficient according to the difference between the similarity and the preset similarity to adjust the clarity of the vehicle information to a corresponding value, thereby improving the control accuracy of the vehicle information and further improving the collection efficiency of the log information.

[0065] See also Figure 4 As shown, it is a flow chart of the present invention for secondary determination of whether the vehicle meets the preset standard for log information collection.

[0066] Specifically, the detection module re-determines the similarity between the vehicle information and the preset vehicle information preset in the data analysis module under the first preset condition, and the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the re-determined similarity, in a secondary determination method, wherein:

[0067] The first secondary determination method is that the data analysis module determines that the vehicle meets the preset log information collection standard and controls the collection module to collect the log information of the vehicle; the first secondary determination method satisfies that the similarity is greater than or equal to the first preset similarity;

[0068] The second secondary determination method is that the data analysis module determines that the vehicle does not meet the preset standard for log information collection, and creates new preset vehicle information according to the collected vehicle information; the second secondary determination method satisfies that the similarity is less than the first preset similarity;

[0069] The first preset condition is that the data analysis module completes the adjustment of the clarity of the vehicle information.

[0070] The data analysis module in the present invention determines whether the vehicle information meets the preset standard for log information collection according to the re-determined similarity, further improving the control accuracy of the log information collection process and improving the collection efficiency of the log information.

[0071] Specifically, the extraction module extracts keywords from the log information of the vehicle under the first determination mode, the data analysis module records the ratio of the number of keywords that match the extracted keywords with the preset keywords preset in the database to the total number of keywords in the log information as a primary ratio, and determines whether the log information meets the preset standard according to the primary ratio, wherein:

[0072] The first determination method is that the data analysis module determines that the log information meets the preset standard, stores the log information in the database, and marks the log information as primary data; the first determination method satisfies that the primary ratio is greater than or equal to the first preset primary ratio preset in the data analysis module;

[0073] The second determination method is that the data analysis module determines that the log information does not meet the preset standard and marks the log information as secondary data; the second determination method satisfies that the primary ratio is less than the first preset primary ratio and is greater than or equal to the second preset primary ratio preset in the data analysis module;

[0074] The third determination method is that the data analysis module determines that the log information does not meet the preset standard and marks the log information as level 3 data; the third determination method satisfies that the level 1 ratio is less than the second preset level 1 ratio.

[0075] In the embodiment of the present invention, the first preset primary ratio is 0.9, and the second preset primary ratio is 0.7.

[0076] The data analysis module in the present invention determines whether the log information meets the preset standard according to the number of keywords in the log information, and rates the log information according to the number of keywords, thereby improving the control accuracy of the log information and further improving the log information processing efficiency.

[0077] Specifically, the data analysis module determines a processing method for the log information based on the proportion of data at each level obtained within a preset period, wherein:

[0078] The first processing method is that the data analysis module determines to store the log information in the database and screens out the log information marked as level 3 data; the first processing method satisfies that the proportion of level 1 data is greater than or equal to the preset level 1 data proportion preset in the data analysis module;

[0079] The second processing method is that the data analysis module determines statistical keyword information and updates the preset keywords in the database according to the keyword information; the second processing method satisfies that the proportion of secondary data is greater than or equal to the preset secondary data proportion preset in the data analysis module.

[0080] In the embodiment of the present invention, the preset primary data ratio is 0.78, and the preset secondary data ratio is 0.75.

[0081] Specifically, the data analysis module records the ratio of the amount of secondary data to the amount of primary data as the secondary ratio under the first processing mode, and determines the secondary processing mode for the log information according to the secondary ratio, wherein:

[0082] The first secondary processing mode is that the data processing module determines to filter out the secondary data; the first secondary processing mode satisfies that the secondary ratio is less than the preset secondary ratio preset in the data analysis module;

[0083] The second secondary processing method is that the data analysis module determines to update the preset keywords in the database; the second secondary processing method satisfies that the secondary ratio is greater than or equal to the preset secondary ratio.

[0084] In the embodiment of the present invention, the preset secondary ratio is 0.3.

[0085] Specifically, under the second processing mode, the data analysis module determines the comprehensive evaluation value S of the keyword based on the frequency P of occurrence of a single keyword contained in the log information that does not match the preset keyword in the database and the average time interval T of occurrence, and sets the comprehensive evaluation value S=P / P0+T0 / T, where P0 is the preset frequency preset in the data analysis module, and T0 is the preset average time interval preset in the data analysis module.

[0086] Specifically, the data analysis module determines whether the keyword meets the evaluation method of updating the preset standard according to the comprehensive evaluation value of the single keyword, wherein:

[0087] The first evaluation method is that the data analysis module determines that the keyword meets the update standard and updates the keyword to the database; the first evaluation method satisfies that the comprehensive evaluation value is greater than or equal to the preset comprehensive evaluation value preset in the data analysis module;

[0088] The second evaluation method is that the data analysis module determines that the keyword does not meet the update standard; the second evaluation method satisfies that the comprehensive evaluation value is less than the preset comprehensive evaluation value.

[0089] In the embodiment of the present invention, the preset frequency is 2 times / hour, and the preset average time interval is 4 hours.

[0090] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for collecting and processing logs of a highway toll lane, characterized in that: include: Step S1, the collection module collects vehicle information of the vehicle, the detection module detects the similarity between the vehicle information and the preset vehicle information, and the data analysis module determines whether it meets the preset standard for log information collection according to the measured similarity; Step S2: When the data analysis module determines that the vehicle meets the preset log information collection standard, the data analysis module controls the collection module to collect the log information of the vehicle; Step S3, the extraction module extracts keywords in the log information, and the data analysis module determines whether the log information meets the preset standard according to the number of the keywords, and marks the log information as primary data, secondary data, or tertiary data; Step S4, the data analysis module processes the log information according to the proportion of each level of data, and the processing method includes: storing the log information in a database and filtering out the log information marked as level 3 data, or counting keyword information and updating the preset keywords in the database according to the keyword information; Step S5, the data analysis module completes the processing of the log information when the preset keywords in the database are updated; The detection module detects the similarity between the vehicle information of the collected single vehicle and the preset vehicle information preset in the data analysis module, and the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the similarity, and when it is determined that the vehicle does not meet the preset standard for log information collection, adjusts the clarity of the collected vehicle information to a corresponding value according to the similarity, or creates new preset vehicle information according to the collected vehicle information. The data analysis module controls the collection module to collect the log information of the vehicle when it is determined that the vehicle meets the preset log information collection standard; When the data analysis module determines to adjust the clarity of the collected vehicle information to a corresponding value, the data analysis module sets a plurality of adjustment methods for the clarity of the collected vehicle information based on the similarity, and the adjustment range of the clarity in each adjustment method is different; The detection module re-determines the similarity between the vehicle information and the preset vehicle information preset in the data analysis module when the adjustment of the clarity of the vehicle information is completed, the data analysis module determines whether the vehicle meets the preset standard for log information collection according to the re-determined similarity, and controls the collection module to collect the log information of the vehicle when it is determined that the vehicle meets the preset standard for log information collection, and the data analysis module creates new preset vehicle information according to the collected vehicle information when it is determined that the vehicle does not meet the preset standard for log information collection; The extraction module extracts keywords from the log information of the vehicle when the data analysis module determines that the vehicle meets the preset standard for log information collection, the data analysis module records the ratio of the number of keywords that match the extracted keywords with the preset keywords preset in the database to the total number of keywords in the log information as a primary ratio, and determines whether the log information meets the preset standard based on the primary ratio, and, when it is determined that the log information meets the preset standard, stores the log information in the database and marks the log information as primary data, The data analysis module marks the log information as secondary data or tertiary data when determining that the log information does not meet the preset standard; The data analysis module determines a processing method for the log information based on the proportion of each level of data obtained within a preset period, and the processing method includes: storing the log information in a database and filtering out the log information marked as level 3 data, and collecting keyword information to update the preset keywords in the database according to the keyword information; When the data analysis module determines to filter out the log information marked as the third-level data, the ratio of the amount of the second-level data to the amount of the first-level data is recorded as the second-level ratio, and a processing method for the log information is determined according to the second-level ratio, and the processing method includes: filtering out the second-level data and updating the preset keywords in the database; When determining whether to update the preset keywords in the database according to the keyword information, the data analysis module determines the comprehensive evaluation value S of the keyword according to the frequency P of occurrence of a single keyword that does not match the preset keywords in the database contained in the log information and the average time interval T of occurrence, and sets the comprehensive evaluation value S=P / P0+T0 / T, where P0 is the preset frequency preset in the data analysis module, and T0 is the preset average time interval preset in the data analysis module.

2. The method for collecting and processing logs of highway toll lanes according to claim 1 is characterized in that: The data analysis module determines whether the keyword meets the preset update standard according to the comprehensive evaluation value of the single keyword, and updates the keyword into the database when it is determined that the keyword meets the update standard.

3. A highway toll lane log collection and processing system implementing the method described in any one of claims 1-2, characterized in that: include: A collection module, which is used to collect vehicle information and vehicle log information; A detection module, connected to the acquisition module, for detecting the similarity between the vehicle information of a single vehicle acquired and the preset vehicle information; a data analysis module connected to the acquisition module and the detection module, for determining whether the vehicle meets the preset log information collection standard according to the similarity measured by the detection module, and adjusting the clarity of the vehicle information to a corresponding value according to the similarity when determining that the vehicle does not meet the preset log information collection standard, or creating new preset vehicle information according to the collected vehicle information; An extraction module is connected to the data analysis module and is used to extract keywords from the log information of the vehicle according to the determination result of the data analysis module.

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