ETC integrated service data acquisition control system

Abstract

The invention, which belongs to the technical field of ETC integrated service data acquisition control, discloses an ETC integrated service data acquisition control system comprising an acquisition analysis module, an acquisition module, a data storage library, an application processing module and a control docking module. The acquisition and analysis module is used for acquiring and analyzing ETC comprehensive service data; the acquisition module is used for performing data acquisition according to each acquisition item to obtain ETC comprehensive service data; sending the ETC comprehensive service data to a data storage library for storage; the application processing module is used for carrying out application processing on the ETC comprehensive service data, obtaining each application demand, carrying out data extraction on the ETC comprehensive service data according to each acquisition item, and obtaining ETC comprehensive application data of each application demand; performing application preprocessing on the ETC comprehensive application data of each application demand to obtain ETC application transmission data; and the control docking module is used for transmitting the ETC application transmission data to a corresponding application end.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of ETC comprehensive business data acquisition control, and specifically relates to an ETC comprehensive business data acquisition control system. BACKGROUND

[0002] Under the dual driving of the rapid development of intelligent transportation systems and digital transformation, ETC (Electronic Toll Collection) has evolved from a single toll tool to a core hub of traffic data sensing and business collaboration. Traditional ETC systems mainly focus on vehicle identity recognition and toll payment, and the data acquisition dimension is limited to basic fields such as transaction time, license plate number, entrance and exit information, and the data application scenarios are concentrated in toll settlement and simple inspection, which is difficult to support fine traffic management and diversified service needs. With the deepening of concepts such as vehicle-road collaboration and smart city, ETC systems need to break through the one-sidedness of data acquisition and the closedness of application mode, and build a comprehensive business data system covering "people-vehicles-roads-environment" and running through "sensing-analysis-decision-service" whole chain.

[0003] Under this background, an ETC comprehensive business data acquisition control system is urgently needed to realize the transformation of ETC data from "single toll carrier" to "core data source of traffic brain" through unified data acquisition standards, integration of multi-source heterogeneous data, and construction of intelligent analysis engine.

[0004] Based on this, the application provides an ETC comprehensive business data acquisition control system to solve the above problems. SUMMARY

[0005] In order to solve the problems existing in the above scheme, the application provides an ETC comprehensive business data acquisition control system.

[0006] The purpose of the application can be achieved by the following technical solutions:

[0007] An ETC comprehensive business data acquisition control system, comprising an acquisition and analysis module, an acquisition module, a data repository, an application processing module and a control interface module;

[0008] The acquisition and analysis module is used for acquiring and analyzing ETC comprehensive business data, determining each acquisition item corresponding to the ETC comprehensive business data, and adjusting the acquisition according to each acquisition item.

[0009] Further, the determination of the acquisition item comprises:

[0010] A potential demand table is set, which is used to count various potential demands and the acquisition items corresponding to the respective potential demands;

[0011] According to the potential demand table, demand screening is performed to obtain several reserve demands, and a standing demand in the reserve demands is determined, and a corresponding standing label is marked for the corresponding reserve demand; and a demand display table is generated according to each reserve demand;

[0012] The demand display table is displayed to the corresponding manager, and the manager determines an application demand and identifies a collection item corresponding to the application demand.

[0013] Further, the demand screening according to the potential demand table comprises:

[0014] A data application standard is obtained, and each potential demand in the potential demand table is calibrated based on the data application standard to determine whether each potential demand meets the data application standard;

[0015] The potential demand meeting the data application standard is marked as a reserve demand.

[0016] Further, the calibration of each potential demand in the potential demand table based on the data application standard comprises:

[0017] A demand calibration model is established, and an expression of the demand calibration model is:

[0018] ;

[0019] In the formula, (s, p) is input data, s represents a potential demand, p represents a data application standard, s→p represents that the potential demand meets the data application standard, and output data is a demand calibration value HK(s, p), and the demand calibration value is 1 or 0;

[0020] Each potential demand in the potential demand table is identified, and each potential demand and the data application standard are integrated into input data and input into the demand calibration model for analysis to obtain a demand calibration value of the corresponding potential demand;

[0021] When the demand calibration value is 1, it is evaluated that the corresponding potential demand meets the data application standard;

[0022] When the demand calibration value is 0, it is evaluated that the corresponding potential demand does not meet the data application standard.

[0023] Further, the determination of the standing demand in the reserve demand comprises:

[0024] The standing demand is defined, and it is evaluated whether each reserve demand meets the standing demand definition to obtain a standing evaluation result of the corresponding reserve demand;

[0025] The standing demand is determined according to the standing evaluation result.

[0026] Further, the evaluation of whether each reserve demand meets the standing demand definition comprises:

[0027] A definition calibration model is established, and an expression of the definition calibration model is:

[0028] ;

[0029] In the formula, (c, d) is input data, c represents a reserve requirement, d represents a definition of a standing requirement, s→p represents that a storage requirement meets the definition of the standing requirement, and output data is a definition calibration value DK(c, d), which is 1 or 0;

[0030] Each reserve requirement and the definition of the standing requirement are integrated into input data and input into the definition calibration model for analysis, and a definition calibration value of the corresponding reserve requirement is obtained.

[0031] When the definition calibration value is 1, a standing evaluation result is that the standing requirement definition is met.

[0032] When the definition calibration value is 0, the standing evaluation result is that the standing requirement definition is not met.

[0033] The collection module is configured to collect data according to each collection item to obtain ETC comprehensive business data, and send the ETC comprehensive business data to a data repository for storage.

[0034] The data repository is configured to store data.

[0035] The application processing module is configured to perform application processing on the ETC comprehensive business data, obtain each application requirement, identify a collection item corresponding to each application requirement, perform data extraction on the ETC comprehensive business data according to each collection item to obtain ETC comprehensive application data corresponding to each application requirement, perform application preprocessing on the ETC comprehensive application data of each application requirement to obtain ETC application transmission data of each application requirement, and send the ETC application transmission data to the control docking module.

[0036] Further, the application preprocessing on the ETC comprehensive application data of each application requirement includes:

[0037] An application requirement with a standing requirement label is identified, and ETC comprehensive application data corresponding to the application requirement is processed according to a preset processing mode.

[0038] An application requirement without a standing requirement label is marked as an irregular requirement, and each irregular requirement is configured with a corresponding modular data processing unit for preprocessing ETC comprehensive application data corresponding to the irregular requirement.

[0039] The ETC comprehensive application data of the unconventional demand is identified, a corresponding data processing unit is matched for the ETC comprehensive application data, the ETC comprehensive application data is processed through the data processing unit, and ETC application transmission data is obtained.

[0040] The control docking module is used for docking with an application end of a corresponding application demand, and the received ETC application transmission data is transmitted to the corresponding application end.

[0041] Compared with the prior art, the beneficial effects of the present application are:

[0042] The data collection dimension of the traditional ETC system is limited to basic fields such as transaction time, license plate number, entrance and exit information, and it is difficult to meet the needs of modern traffic fine management and diversified services. The ETC comprehensive business data collection control system provided by the present application can integrate multi-source heterogeneous data and cover all elements of "people-vehicles-roads-environment" through unified data collection standards. For example, not only vehicle basic information is collected, but also vehicle driving state, road environment parameters (such as weather, light, road conditions), driver behavior data (such as driving time, fatigue state) and other data are obtained, providing comprehensive and rich data support for the traffic system, making the traffic management decision more scientific and accurate; the collected all-element data can be deeply mined and analyzed, realizing the transformation of ETC data from "single charging carrier" to "core data source of traffic brain". Based on this, various application scenarios can be expanded, such as traffic flow prediction and optimization scheduling, predicting congestion sections in advance and reasonably allocating traffic resources by analyzing vehicle driving trajectory and flow data; personalized travel service, providing customized route planning and travel suggestions for users according to their historical travel data and preferences; intelligent safety warning, real-time monitoring of vehicle state and road environment, timely discovery of potential safety hazards and warning, effectively improving the safety and efficiency of the traffic system. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0044] Figure 1 The principle diagram of the present application. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, an ETC integrated business data acquisition and control system includes an acquisition and parsing module, an acquisition module, a data storage library, an application processing module, and a control interface module.

[0047] The data collection and parsing module is used to collect and parse the comprehensive ETC business data, determine the required collection items corresponding to the comprehensive ETC business data, and then collect data according to the collection items, such as the collection items corresponding to ETC transaction data, device status data, traffic flow data, and meteorological data; and adjust the collection according to each collection item so that subsequent data collection can be carried out according to each collection item.

[0048] In one embodiment, the determination of the collection items can be based on existing methods, such as the common method of setting them manually, or it can utilize intelligent models to analyze the application requirements that need to be met, and set the collection items according to the data required by the application requirements.

[0049] In one embodiment, determining the collection items includes:

[0050] Based on big data and other technologies, we identify the application needs for ETC integrated business data and mark them as potential needs. These include potential needs such as real-time road network monitoring and dynamic control, differentiated tolling, rapid response to emergency events, personalized travel services, contactless payment and dispute resolution, and targeted marketing in service areas. In short, all potentially applicable needs are considered potential needs. These will be further filtered based on actual circumstances. For example, if commercial applications are not permitted, certain commercial needs will be removed, but they will still be included in the statistics as potential needs. A potential needs table will be compiled and used to collect data on various potential needs and their corresponding data collection items. The potential needs table can also be set up manually or through other methods.

[0051] Demands are filtered based on the potential demand list to obtain several reserve demands. Regular demands within these reserve demands are identified and tagged with appropriate regular labels. A demand display table is generated based on each reserve demand (including those tagged with regular labels). This table can be supplemented with relevant data such as the purpose, use, prospects, advantages, and disadvantages of the demands to facilitate management decision-making. The demand display table is then presented to relevant management personnel, who determine the application requirements and identify the corresponding data collection items.

[0052] In one embodiment, the demand screening is performed according to the potential demand table, including:

[0053] The data application standards uploaded by the corresponding staff are obtained, i.e. the standards, requirements, etc. that the comprehensive business data needs to meet, such as the requirements of high-speed toll collection, road network monitoring, and rapid response to emergency events, the requirements of not leaking the information of the vehicle owner, and the requirements of not being used for private and commercial purposes; however, for the requirements of not leaking the information of the vehicle owner, etc., it is necessary to determine whether the corresponding technical means can solve the problem, if yes, the corresponding potential demand meets the data application standards, otherwise, it needs to be excluded, i.e. it also needs to be dynamically analyzed in combination with the technical development;

[0054] The potential demands in the potential demand table are calibrated based on the data application standards to determine whether each potential demand meets the data application standards;

[0055] The potential demands that meet the data application standards are marked as reserve demands.

[0056] In one embodiment, the potential demands in the potential demand table are calibrated based on the data application standards, which can be calibrated based on the existing calibration methods, such as the commonly used intelligent model established based on machine learning and deep learning algorithms for intelligent calibration.

[0057] In one embodiment, the potential demands in the potential demand table are calibrated based on the data application standards, including:

[0058] A demand calibration model is established, and the expression of the demand calibration model is:

[0059] ;

[0060] In the formula, (s, p) is the input data, s represents the potential demand, p represents the data application standard, s→p represents that the potential demand meets the data application standard; the output data is the demand calibration value HK(s, p), and the demand calibration value is 1 or 0; the case of not meeting the data application standard is taken as an abnormal case, and the corresponding data is used to mark the corresponding training set for training;

[0061] Each potential demand in the potential demand table is identified, each potential demand and the data application standard are integrated into input data and input into the demand calibration model for analysis, and the demand calibration value of the corresponding potential demand is obtained;

[0062] When the demand calibration value is 1, it is evaluated that the corresponding potential demand meets the data application standard;

[0063] When the demand calibration value is 0, it is evaluated that the corresponding potential demand does not meet the data application standard.

[0064] In one embodiment, the standing demand in the reserve demand is determined, including:

[0065] The standing demand is defined as a basic demand that must be met, which is used to avoid staff analyzing the standing demand and improve work efficiency, that is, the reserve demand with a standing label can be directly used as an application demand, and the manager can quickly skip the evaluation of the standing demand when selecting the application demand according to the demand display table; the standing demand definition is set by the corresponding manager;

[0066] The standing demand definition is evaluated for each reserve demand to obtain a standing evaluation result of the corresponding reserve demand.

[0067] The standing demand is determined according to the standing evaluation result.

[0068] In one embodiment, the standing demand definition is evaluated for each reserve demand, and calibration is performed in combination with a corresponding calibration mode, such as calibration in combination with a potential demand calibration technique.

[0069] In one embodiment, the standing demand definition is evaluated for each reserve demand, including:

[0070] A definition calibration model is established, and the expression of the definition calibration model is:

[0071] ;

[0072] In the formula, (c, d) is input data, c represents a reserve demand, d represents a standing demand definition, and s→p represents that the storage demand meets the standing demand definition; the output data is a definition calibration value DK(c, d), which is 1 or 0; the case of not meeting the standing demand definition is taken as an abnormal case, and the corresponding data is used to mark the corresponding training set for training on this basis;

[0073] Each reserve demand and the standing demand definition are integrated into input data and input into the definition calibration model for analysis to obtain a definition calibration value of the corresponding reserve demand.

[0074] When the definition calibration value is 1, the standing evaluation result is that the standing demand definition is met.

[0075] When the definition calibration value is 0, the standing evaluation result is that the standing demand definition is not met.

[0076] The collection module is configured to collect data according to each collection item to obtain ETC comprehensive business data, and send the ETC comprehensive business data to the data repository for storage.

[0077] In one embodiment, the data repository can be a data center in a corresponding region.

[0078] In one embodiment, the data repository can be set up based on a cloud platform.

[0079] The data repository is used for data storage.

[0080] The application processing module is used for application processing of the ETC comprehensive service data, obtaining various application requirements, identifying collection items corresponding to the various application requirements, performing data extraction on the ETC comprehensive service data according to the various collection items, and obtaining ETC comprehensive application data corresponding to the various application requirements; performing application preprocessing on the ETC comprehensive application data of the various application requirements, marking the ETC comprehensive application data after the application preprocessing as ETC application transmission data, and sending the ETC application transmission data to the control docking module.

[0081] In one embodiment, the application preprocessing of the ETC comprehensive application data of the various application requirements comprises:

[0082] Identifying an application requirement with a regular requirement label, and processing the application requirement according to a preset processing mode, i.e., performing data processing according to the original processing mode; marking an application requirement without a regular requirement label as an irregular requirement;

[0083] Configuring a corresponding modular data processing unit for each irregular requirement, and the data processing unit is used for processing the ETC comprehensive application data of the specific irregular requirement, so as to meet the application requirement and improve the data transmission and analysis efficiency, such as encryption, partial analysis, etc. Partial analysis refers to a part of processing performed by the data processing unit when performing application analysis at the control end. For example, the processing process of the ETC comprehensive application data at the control end is: ETC comprehensive application data→A→B→C→analysis result, and subsequent processing is performed according to the analysis result. ABC is the processing process data of the ETC comprehensive application data. The data processing unit can pre-process the ETC comprehensive application data into B data, thereby reducing the transmission amount and improving the transmission efficiency, and facilitating the protection of the ETC comprehensive application data and reducing the risk of data leakage. When the processing technology or requirement changes, the corresponding data processing unit can be quickly replaced due to the modular design, thereby adapting to the change of the ETC comprehensive data application requirement.

[0084] Identifying the ETC comprehensive application data of the irregular requirement, and processing the ETC comprehensive application data through the data processing unit corresponding to the irregular requirement to obtain the ETC application transmission data.

[0085] In one embodiment, the respective modular data processing unit is configured for each unconventional demand, which can be configured based on the prior art, first determine the data processing target corresponding to each unconventional demand, that is, the degree of ETC comprehensive application data processing, such as the above-mentioned B data, which can be selected from the aspects of transmission efficiency, safety, etc.; then the processed data is encrypted and processed to meet the application requirements; and then the corresponding modular data processing unit is set.

[0086] The control docking module is used to dock with the application end with corresponding application requirements, and the received ETC application transmission data is transmitted to the corresponding application end, which is not a module in the system.

[0087] In one embodiment, a corresponding security unit can be provided in the control docking module, which checks the ETC application transmission data to be transmitted and analyzes whether the preprocessing is qualified.

[0088] The above formulas are calculated by removing the dimension and taking the numerical value, the formula is obtained by software simulation of a large amount of data to obtain a formula closest to the real situation, and the preset parameters and the preset threshold in the formula are set by the person skilled in the art according to the actual situation or obtained by a large amount of data simulation.

[0089] The above embodiments are only used to illustrate the technical method of the present application and are not limited. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. An ETC integrated business data acquisition and control system, characterized in that, It includes a data acquisition and parsing module, a data acquisition module, a data storage library, an application processing module, and a control interface module; The data collection and parsing module is used to collect and parse ETC comprehensive business data, determine the various collection items corresponding to the ETC comprehensive business data, and adjust the collection based on each collection item. The data acquisition module is used to collect data according to each data acquisition item to obtain ETC integrated business data; The ETC integrated business data is sent to the data storage repository for storage; The data storage library is used for data storage; The application processing module is used to process the ETC integrated business data, obtain various application requirements, identify the collection items corresponding to each application requirement, extract data from the ETC integrated business data according to each collection item, obtain the ETC integrated application data corresponding to each application requirement, perform application preprocessing on the ETC integrated application data of each application requirement, obtain the ETC application transmission data of each application requirement, and send the ETC application transmission data to the control docking module. The control interface module is used to interface with the application terminal that meets the corresponding application requirements, and transmit the received ETC application transmission data to the corresponding application terminal.

2. The ETC integrated business data acquisition and control system according to claim 1, characterized in that, The determination of the data collection items includes: Set up a potential demand table, which is used to count various potential demands and the corresponding collection items for each potential demand; Demands are filtered based on the potential demand list to obtain several reserve demands, and the common demands among the reserve demands are identified. The corresponding common demands are marked with the appropriate common tags; a demand display table is generated based on each reserve demand. The requirements presentation form is shown to the relevant management personnel, who then determine the application requirements and identify the corresponding data collection items.

3. The ETC integrated business data acquisition and control system according to claim 2, characterized in that, Filter requirements based on the potential requirements list, including: Obtain data application standards, calibrate each potential requirement in the potential requirement table based on the data application standards, and determine whether each potential requirement meets the data application standards. Potential needs that meet data application standards are marked as reserve needs.

4. The ETC integrated business data acquisition and control system according to claim 3, characterized in that, Based on data application standards, each potential requirement in the potential requirements table is calibrated, including: Establish a demand calibration model, the expression of which is: ； In the formula: (s, p) are the input data, s represents the potential demand, p represents the data application standard, s→p means the potential demand meets the data application standard; the output data is the demand calibration value HK(s, p), and the demand calibration value is 1 or 0. Identify each potential demand in the potential demand table, integrate each potential demand and data application standard into input data, input them into the demand calibration model for analysis, and obtain the corresponding demand calibration value of the potential demand. When the requirement calibration value is 1, the corresponding potential requirement is assessed to meet the data application standards. When the requirement calibration value is 0, the corresponding potential requirement is assessed as not meeting the data application standards.

5. The ETC integrated business data acquisition and control system according to claim 2, characterized in that, Determine the standing demand within the reserve requirement, including: Define standing requirements, assess whether each reserve requirement meets the definition of standing requirements, and obtain the standing assessment results for the corresponding reserve requirements; The standing needs are determined based on the results of the standing assessment.

6. The ETC integrated business data acquisition and control system according to claim 5, characterized in that, Assess whether each reserve requirement meets the definition of standing reserve requirement, including: Establish and define the calibration model. The expression for the calibration model is as follows: ； In the formula: (c, d) are the input data, c represents the reserve requirement, d represents the definition of the standby requirement, s→p means that the storage requirement meets the definition of the standby requirement; the output data is the defined calibration value DK(c, d), and the defined calibration value is 1 or 0. The definitions of each reserve requirement and standing requirement are integrated into the input data and input into the definition calibration model for analysis to obtain the definition calibration value of the corresponding reserve requirement. When the calibration value is defined as 1, the standby evaluation result is that the standby requirement definition is met. When the calibration value is defined as 0, the standby evaluation result is that the standby requirement definition is not met.

7. The ETC integrated business data acquisition and control system according to claim 1, characterized in that, Application preprocessing is performed on the comprehensive ETC application data for various application requirements, including: Identify application requirements with common demand tags, and process the ETC integrated application data corresponding to the application requirements according to a preset processing method; Application requirements without a standard requirement tag are marked as non-standard requirements; each non-standard requirement is configured with a corresponding modular data processing unit, which is used to preprocess the ETC integrated application data corresponding to the non-standard requirement; Identify ETC integrated application data with non-routine requirements, match the corresponding data processing unit to the ETC integrated application data, and process the ETC integrated application data through the data processing unit to obtain ETC application transmission data.

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