CN111064772B - Vehicle service response method and system - Google Patents
Vehicle service response method and system Download PDFInfo
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- CN111064772B CN111064772B CN201911151185.5A CN201911151185A CN111064772B CN 111064772 B CN111064772 B CN 111064772B CN 201911151185 A CN201911151185 A CN 201911151185A CN 111064772 B CN111064772 B CN 111064772B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
- H04L67/2871—Implementation details of single intermediate entities
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- 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
- G06Q10/02—Reservations, e.g. for tickets, services or events
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- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
Abstract
The invention is suitable for the technical field of Internet, and provides a vehicle service response method and a vehicle service response system, wherein the vehicle service response method comprises the following steps: the service response middleware receives the service request and determines a first service processing node for responding to the service type based on the service type of the service request; receiving a service request sent by a service response middleware and sending a data acquisition instruction; receiving vehicle information returned based on the data acquisition instruction, and generating a service response result corresponding to the service request according to all the vehicle information; and sending a service response result. The service request can be issued to the corresponding first service processing node according to the service type through the service response middleware, so that the independence of processing logics of different types of vehicle services can be ensured, the coupling degree among different service types is reduced, and the success rate of service response is improved.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a vehicle service response method and system.
Background
With the continuous development of the internet technology, more and more services can be realized through online modes, for example, a user can call or reserve car rental services through applications on an intelligent terminal, and various types of vehicle services can be completed online, so that the service response efficiency is greatly improved, and the convenience of the user in using the vehicle services is improved.
The existing vehicle service response technology provides quick and various vehicle services for users, and simultaneously, different vehicle service requests are processed by the same server, and the processing logics of different service requests are different, so that the processing logics are easy to conflict, the response delay and even the response failure of the service requests are caused, and the use experience of the users is reduced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a vehicle service response method and system, so as to solve the problems that in the existing vehicle service response technology, different vehicle service requests are processed by the same server, which easily causes processing logic conflicts, increases the service response duration, and reduces the success rate of service response.
The first aspect of the embodiment of the present invention provides a response method for vehicle services, which is applied to a response system for vehicle services, where the response system for vehicle services includes: service response middleware and at least one service processing node;
the response method of the vehicle service comprises the following steps:
the service response middleware receives a service request and determines a first service processing node for responding to the service type based on the service type of the service request;
the first service processing node receives the service request sent by the service response middleware and sends a data acquisition instruction;
the first service processing node receives vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information;
and the first service processing node sends the service response result.
A second aspect of an embodiment of the present invention provides a response system for vehicular service, including: service response middleware and at least one service processing node;
the service response middleware is used for receiving a service request and determining a first service processing node for responding to the service type based on the service type of the service request;
the first service processing node is used for receiving the service request sent by the service response middleware and sending a data acquisition instruction;
the first service processing node is used for receiving the vehicle information returned based on the data acquisition instruction and generating a service response result corresponding to the service request according to all the vehicle information;
and the first service processing node is used for sending the service response result.
The vehicle service response method and the vehicle service response system provided by the embodiment of the invention have the following beneficial effects:
in the embodiment of the invention, the service response middleware receives the service request sent by the user terminal, and because the incidence relation between the service request and the first service processing node is established in advance, the service response middleware can determine the corresponding first service processing node according to the incidence relation and the service type of the service request, so as to respond to the service request of the type through the first service processing node, acquire the vehicle information fed back by the vehicle-mounted intelligent terminal through the first service processing node, output the service response result of the service request and feed the service response result back to the user terminal, thereby realizing the response to the vehicle service requests of multiple types. Compared with the prior vehicle service response technology, the method and the system have the advantages that the corresponding first service processing nodes are configured for different service types, and the service request is issued to the corresponding first service processing nodes according to the service types through the service response middleware, so that the independence of processing logics of different types of vehicle services can be ensured, the coupling degree among different service types is reduced, the success rate of service response is improved, and response abnormity caused by logic conflict is reduced; on the other hand, because different service types in the service response system are handed to different service processing nodes to respond to the service request, the parallel processing of multiple types of requests can be realized, the response efficiency of vehicle service is improved, and the response time consumption of response operation is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is an interactive flow chart of a response method for vehicle services provided by a first embodiment of the present invention;
FIG. 2 is a flow chart of a detailed implementation of a response method for vehicle service according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a response method for vehicle service according to a third embodiment of the present invention;
fig. 4 is a flowchart of a detailed implementation of a response method S103 for vehicle service according to a fourth embodiment of the present invention;
FIG. 5 is a flowchart illustrating a response method for vehicle service according to a fifth embodiment of the present invention;
fig. 6 is a flowchart of a detailed implementation of a response method S101 for vehicle service according to a sixth embodiment of the present invention;
FIG. 7 is a flowchart illustrating a response method for vehicle service according to a seventh embodiment of the present invention;
FIG. 8 is a block diagram of a response system for vehicle services according to an embodiment of the present invention;
fig. 9 is a block diagram of a response system for vehicle service according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention receives the service request sent by the user terminal through the service response middleware, and the service response middleware can determine the corresponding first service processing node according to the incidence relation and the service type of the service request because the incidence relation between the service request and the first service processing node is established in advance, the first service processing node responds to the service request of the type, and then the vehicle information fed back by the vehicle-mounted intelligent terminal is acquired through the first service processing node, and outputs a service response result of the service request and feeds back the service response result to the user terminal, thereby realizing the response to the multi-type vehicle service request, solving the response technology of the prior vehicle service, when different vehicle service requests are processed, the same server is used for processing, so that processing logic conflict is easily caused, the service response time is prolonged, and the success rate of service response is reduced.
In the embodiment of the invention, the execution subject of the process is a response system for serving the vehicle. The vehicle service response includes at least service response middleware and at least one service processing node, wherein each service processing node is used for responding to a service request of one service type. The service response middleware may be a server, and the service processing node may be a server or a server cluster including a plurality of servers. Fig. 1 shows a flow chart of an implementation of a response method for vehicle service provided by a first embodiment of the invention, which is detailed as follows:
in S101, the service response middleware receives a service request, and determines a first service processing node for responding to a service type of the service request based on the service type of the service request.
In this embodiment, the user terminal may send the service request to the response system of the vehicle service through a client installed locally or a web page associated with the response system of the vehicle service. The service request carries the service type of the vehicle service that needs to be requested, and the device identification of the requesting party. The vehicle service response system can converge all the service requests received from the user terminal side to the service response middleware, and the service response middleware forwards the service requests.
Optionally, in this embodiment, before forwarding the service request to the service response middleware, the response device of the vehicle service may filter the abnormal service request through the data filtering server, that is, deploy the data filtering server between the communication links between the user terminal and the service response middleware. After receiving a service request sent by a user terminal, the data filtering server determines whether the service request contains preset key parameter items, wherein the key parameter items include but are not limited to a service type, a terminal identifier of the user terminal, a network address and the like. If the data filtering server detects that the service request does not contain any key parameter item, the data filtering server identifies the service request as an abnormal request and filters the abnormal request, so that data is cleaned, a large number of invalid requests are prevented from entering a response system of vehicle service, the safety of the system is improved, response operation to the invalid requests is reduced, and resource waste is avoided.
In this embodiment, after receiving a service request sent by a user terminal, the service response middleware may identify a service type corresponding to the service request. The service type may include a vehicle call service type, a car rental reservation service type, a fare payment service type, a vehicle inquiry service type, and the like, which are services related to the vehicle service. The service response middleware may determine a corresponding service type according to the request content of the service request, and may query the corresponding service type based on the service identifier if the service request carries the service identifier.
In this embodiment, the service response middleware may be configured with a correspondence table between service types and first service processing nodes, where each first service processing node may correspond to one service type. The service response middleware may query the correspondence table, determine a first service processing node corresponding to the service type for responding to the received service request, and send the service request to the first service processing node for processing.
Optionally, in this embodiment, the service response middleware may configure a state list regarding the running state of the first service processing node. The state list includes the service type and the running state associated with each first service processing node. When a service response request of any service type does not exist in a response system of vehicle service, the service response middleware can adjust the running state of a first service processing node associated with the service type to be a closed state and update a state list; if the running state of the first service processing node corresponding to the service type received by the vehicle service response system is detected to be the closed state, the first service processing node corresponding to the service type can be started, and the state list is updated. The service response middleware can determine the service types which can be responded in the current service response system and the currently started service types according to the state list, and open and close the corresponding first service processing node based on the service type of the received service request, so that the resource consumption of the service response system can be reduced.
In S102, the first service processing node receives the service request sent by the service response middleware, and sends a data acquisition instruction.
In this embodiment, the first service processing node receives the service request forwarded by the service response middleware, and responds to the issued service request. Alternatively, the first service processing node may add the service requests to the request queue and respond in sequence based on the order of addition of the respective service requests. When the service request is responded, the first service processing node needs to acquire the required vehicle information, so that a data acquisition instruction is sent to the vehicle-mounted intelligent terminal connected with the response system of the vehicle service, and the vehicle-mounted intelligent terminal is informed to feed back the vehicle information.
Optionally, the range of the vehicle information required to be collected is different for different service types. For example, if the service request is a payment service request, the first service processing node only needs to acquire vehicle information taken by a user, and therefore only needs to send a data acquisition instruction to a vehicle-mounted intelligent terminal associated with the service request, so that a vehicle driving path is uploaded through the vehicle-mounted intelligent terminal, and the cost required to be paid at this time is calculated through the vehicle driving path; if the service request is a vehicle calling service request, the first service processing node needs to acquire vehicle information in the area where the user is located, so that the associated area corresponding to the user position can be determined according to the user position carried in the service request, and a data acquisition instruction is sent to all vehicle-mounted intelligent terminals currently located in the associated area. Based on the method, the first service processing node can select the target vehicle-mounted terminal from all the vehicle-mounted intelligent terminals according to the request type of the service request, and sends a data acquisition instruction to the target vehicle-mounted terminal.
Optionally, the step of judging whether to feed back the vehicle information may be executed by the vehicle-mounted intelligent terminal, the data acquisition instruction may carry a data feedback range, and if the vehicle-mounted intelligent terminal detects that the vehicle-mounted intelligent terminal is not within the data feedback range, the data acquisition instruction does not need to be uploaded. For example, the data feedback range may be a location area, and if the vehicle-mounted intelligent terminal detects that the current location is not within the location area, it is not necessary to report vehicle information.
In S103, the first service processing node receives the vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information.
In this embodiment, after receiving the data acquisition instruction, the vehicle-mounted intelligent terminal generates vehicle information through a preset module, and sends the generated vehicle information to the first service processing node. Optionally, the data collected by the vehicle-mounted intelligent terminal is matched with the request type of the service request, and vehicle information is generated based on the collected vehicle data. For example, if the service request is a payment request, the current billing value may be generated as vehicle information, or the vehicle information may be generated by encapsulating the vehicle travel path and the travel time; if the service request is a vehicle call service request, the current position and the renting state can be packaged to generate vehicle information, and the vehicle information is uploaded to the first service processing node. The vehicle-mounted intelligent terminal stores a corresponding relation table of the service request and the data type, and when a data acquisition instruction issued by the first service processing node is received, the corresponding relation table is inquired, at least one vehicle data matched with the data type is obtained, and vehicle information is generated.
Optionally, in this embodiment, if the first service processing node has a data feedback range, the maximum feedback duration may be set. After the first service processing node issues the data acquisition instruction, the first service processing node starts a feedback timer and detects whether the count value of the feedback timer is greater than the maximum feedback duration. If the counting value of the timer is detected to be larger than the maximum feedback time length and the vehicle information fed back by all the vehicle-mounted intelligent terminals in the data feedback range is not received, the vehicle intelligent terminal which does not feed back the vehicle information can be identified as an abnormal terminal, and/or a service response result of the service request is generated based on all the vehicle information received in the maximum feedback time length.
In this embodiment, each first service processing node is configured to respond to a service request of the same service type, that is, the first service processing node is configured with a service response flow corresponding to the service type. After receiving the vehicle information, the first service processing node may process the vehicle information through a preset service response flow, so as to generate a service response result associated with the service request. For example, for a fee payment request, the first service processing node is configured with a billing model, and after receiving vehicle information fed back by a target vehicle, the first service processing node extracts a vehicle travel path and vehicle travel time included in the vehicle information, identifies a total vehicle travel distance corresponding to the current travel process based on the vehicle travel path, imports the total vehicle travel distance and the vehicle travel time into the billing model, outputs a rental fee corresponding to the current rental service, and takes the rental fee as a service response result. Of course, the processing flows corresponding to different service types are different, and are not described in detail herein.
In S104, the first service processing node sends the service response result.
In this embodiment, the first service processing node extracts the communication address corresponding to the user terminal from the service request, and sends the service response result to the user terminal based on the communication address, thereby completing the service response procedure. Optionally, if the first service processing node is provided with a request list, after the first service processing node responds to the service request, it may respond to other service requests to be responded in the list according to the adding order of each service request in the list.
As can be seen from the above, in the response method for vehicle service provided in the embodiment of the present invention, the service response middleware receives the service request sent by the user terminal, and because the association relationship between the service request and the first service processing node is pre-established, the service response middleware can determine the corresponding first service processing node according to the association relationship and the service type of the service request, so as to respond to the service request of the type through the first service processing node, then acquire the vehicle information fed back by the vehicle-mounted intelligent terminal through the first service processing node, output the service response result of the service request, and feed back the service response result to the user terminal, thereby implementing response to multiple types of vehicle service requests. Compared with the prior vehicle service response technology, the method and the system have the advantages that the corresponding first service processing nodes are configured for different service types, and the service request is issued to the corresponding first service processing nodes according to the service types through the service response middleware, so that the independence of processing logics of different types of vehicle services can be ensured, the coupling degree among different service types is reduced, the success rate of service response is improved, and response abnormity caused by logic conflict is reduced; on the other hand, because different service types in the service response system are handed to different service processing nodes to respond to the service request, the parallel processing of multiple types of requests can be realized, the response efficiency of vehicle service is improved, and the response time consumption of response operation is reduced.
Fig. 2 is a flowchart illustrating a specific implementation of a response method for vehicle service according to a second embodiment of the present invention. Referring to fig. 2, with respect to the embodiment shown in fig. 1, the method for responding to the vehicle service provided by the present embodiment further includes: s201 to S204 are specifically detailed as follows:
further, the service request comprises a vehicle service request, and the service processing nodes comprise second service processing nodes constructed based on a large-scale data processing engine Spark; the response method of the vehicle service further includes:
in S201, the second service processing node receives the vehicle service request; the car using service request comprises a request initiating time and a request initiating address.
In this embodiment, a second service processing node is further configured in the response system of the vehicle service. The second service processing node is specifically a service node constructed based on Spark. Because the Spark framework has the characteristics of high processing rate, high compatibility, convenience in use and the like in a scene of dealing with big data processing, the Spark framework can divide data into a plurality of data segments in a built server and process the data segments in a batch processing mode similar to batch processing. The second service processing node is built on the Spark framework, and is used for real-time calculation due to the adoption of a low-delay execution engine, and can be recalculated from the source data to achieve the purpose of fault-tolerant processing. The second service processing node may be used for performing user behavior analysis through the above-mentioned features of the Spark framework.
In this embodiment, after receiving the service request sent by the user terminal, when detecting a car rental request type that is a request type of the service request, the service response middleware may send the car using service request to the first service processing node for responding to the car rental service, and may also synchronously forward the car using service request to the second service processing node. Responding the vehicle using service request through the first service processing node, and outputting a vehicle renting service response result corresponding to the vehicle using service request; and the second service processing node may store all received in-vehicle service requests, thereby outputting user behavior analysis through the in-vehicle service requests.
In this embodiment, in order to determine the user behavior analysis, the vehicle-using service request may include a request initiation time and a request initiation address, so that a busy time period and a busy address of the vehicle-using service can be determined, and a corresponding number of vehicles are deployed for the busy time period and the busy address, so as to meet the vehicle-using service request initiated by the user terminal. Optionally, the second service processing node may perform data verification on the in-vehicle service request, determine whether the in-vehicle service request includes the two types of information, if yes, identify the in-vehicle service request as a legal service request, and store the legal service request in the database; otherwise, the request is identified as an abnormal request and discarded. The second service processing node is a service node constructed based on a Spark framework, so that the received service request can be divided into a plurality of fragments and processed in a distributed mode, and in the subsequent analysis and processing process, the vehicle using service request can be acquired in parallel in a distributed storage mode.
In S202, the second service processing node generates a time dimension portrait about the car using service according to the request initiation time of all the car using service requests.
In this embodiment, the response system of the vehicle service may be provided with an analysis triggering condition, for example, by a practice triggering manner or an event triggering manner, and when it is detected that the current time reaches a preset user behavior analysis node, the operations of S202 to S204 are performed; or detecting that the load value of the current system is smaller than the preset load threshold value, and executing the operations from S202 to S204 when the response system for identifying the vehicle service is idle.
In this embodiment, in order to analyze the car rental behavior habit of the user, the second service processing node may perform user behavior analysis from two perspectives, namely, a time dimension and a geographic space dimension. Based on this, the second service processing node may extract all the received user terminal-initiated vehicle-using service requests from the database, and extract the request initiation time and the request initiation address from each vehicle-using service request.
In this embodiment, the second service processing node may count the number of requests received in each preset time period according to the request initiation time of each vehicle service request, and obtain the time dimension portrait based on the number of requests in all time periods. For example, the method divides 24 hours a day into a plurality of time periods at intervals of 10 minutes by taking 10 minutes as a division reference, counts the number of service requests received in the time period of 10:00-10:10, and generates a corresponding time dimension portrait.
In S203, the second service processing node marks the request initiation address of each car use service request on a preset map interface to obtain a car use request distribution map.
In this embodiment, the second service processing node determines coordinate points associated on the map interface according to the request initiation addresses of all the car use service requests, and marks the coordinate points corresponding to the request initiation addresses on the map interface in a preset marking manner, so as to generate and obtain a car use request distribution map.
In S204, the second service processing node generates vehicle deployment recommendation information according to the time dimension representation and the vehicle usage request distribution map, and sends the vehicle deployment recommendation information.
In this embodiment, the second service processing node may determine behavior characteristics of the user terminal initiating the vehicle renting service, such as idle and busy time periods and characteristic addresses with a large vehicle using service request amount, according to the time dimension representation and the vehicle using request distribution map, of course, each characteristic address may be associated with a corresponding idle and busy time period, and may obtain a plurality of vehicle deployment recommendation information according to the two parameters, and send the vehicle deployment recommendation information obtained through analysis to each vehicle-mounted intelligent terminal, so as to implement vehicle scheduling and improve response efficiency of the vehicle renting service.
Optionally, in this embodiment, if it is detected that a certain vehicle is in a stationary state within a preset time period, that is, the position information fed back by the vehicle-mounted intelligent terminal is the same within the preset time period, it indicates that the vehicle is in an idle state, and at this time, according to the vehicle deployment recommendation information obtained by analysis, a feature address with a larger demand for rental vehicle service, which is closer to the position of the idle vehicle, may be determined, and a driving route between the feature address and the position of the idle vehicle is generated, so as to indicate the vehicle to wait to the feature address, so as to improve the passenger carrying success rate.
In the embodiment of the invention, the travel habit of the user is analyzed and obtained according to the time and the position information carried by the vehicle using service request initiated by the user terminal, so that the deployment recommendation information is generated to indicate that the vehicle is deployed in advance at the key address, and therefore, the response efficiency of the vehicle renting service can be improved and the waiting time of the user can be reduced.
Fig. 3 is a flowchart illustrating a response method for vehicle service according to a third embodiment of the present invention. Referring to fig. 3, with respect to the embodiment shown in fig. 1, before the first service processing node receives the vehicle information returned by each vehicle-mounted intelligent terminal based on the data acquisition instruction, and generates the service response result corresponding to the service request according to all the vehicle information, the response method for vehicle service according to this embodiment further includes: s301 to S303 are specifically detailed as follows:
further, the service processing node comprises a third service processing node for data filtering; before the first service processing node receives the vehicle information returned based on the data acquisition instruction and generates a service response result corresponding to the service request according to all the vehicle information, the method further includes:
in S301, the third service processing node receives each piece of the vehicle information, and identifies whether each piece of the vehicle information includes a target information item.
In this embodiment, a third service processing node for data filtering is further provided in the response system of the vehicle service. The third service processing node may perform data filtering on all information received in the response system to vehicular service. Specifically, the third service processing node may record the check rule of different information. When interactive data generated by data interaction between equipment in the system or between the system and external equipment is received in a response system of vehicle service, identifying the information type of the interactive data, determining a check rule corresponding to the information type, identifying whether the interactive data is legal data or not through the check rule, and if so, forwarding the interactive data; if not, identifying the abnormal data, and filtering the abnormal data.
In this embodiment, in the process of responding to the service request, the first service processing node needs to collect the vehicle information from each vehicle-mounted intelligent terminal, and before sending the vehicle information to the first service processing node, the third service processing node may identify the completeness of the data of the vehicle information, and determine whether each piece of vehicle information includes a preset target information item.
In S302, if the third service processing node detects that any piece of vehicle information does not include any piece of target information, it identifies that the piece of vehicle information is abnormal information, and sends a data re-acquisition instruction.
In this embodiment, if it is detected that the vehicle information does not include any of the preset target information items, the third service processing node may determine that the vehicle information lacks the target information, recognize the vehicle information as abnormal information, filter the abnormal information, and send a data flushing acquisition instruction to the vehicle-mounted intelligent terminal associated with the abnormal information, so as to reacquire the vehicle information corresponding to the vehicle, that is, send a data reacquisition instruction to the vehicle-mounted intelligent terminal, so as to acquire legal vehicle information corresponding to the vehicle.
In S303, if it is detected that any one of the pieces of vehicle information includes all the target information items, the third service processing node sends the piece of vehicle information to the first service processing node.
In this embodiment, if it is detected that any one of the pieces of vehicle information includes all the target information items, the third service processing node recognizes that the piece of vehicle information is legal information, and at this time, the first service processing node may be sent to the first processing node.
In the embodiment of the invention, the vehicle information is filtered through the third service processing node, so that the legality of the vehicle information received by the first processing node can be ensured, the data processing efficiency of the first processing node is improved, and the service response speed is increased.
Fig. 4 shows a flowchart of a specific implementation of a response method S103 for vehicle service according to a fourth embodiment of the present invention. Referring to fig. 4, with respect to any one of the embodiments shown in fig. 1 to 3, the present embodiment provides a response method S103 for vehicle service, which includes: s1031 to S1034 are specifically described as follows:
further, if the service request is a vehicle position query request, the first service processing node is a service processing node based on a distributed full-text retrieval ElasticSearch cluster;
the first service processing node receives the vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information, wherein the service response result comprises:
in S1031, the first service processing node acquires a user location.
In this embodiment, when a vehicle position query request is responded, position information of nearby vehicles needs to be displayed in a preset area according to the current position of the user, that is, a vehicle position related to the current position of the user needs to be selected from vehicle positions sent by all vehicle-mounted intelligent terminals, so that the first service processing node can adopt a service processing node of an ElasticSearch cluster to improve the speed of data search.
In this embodiment, the first service processing node may extract the user location related to the user terminal from the service request sent by the user terminal, or may establish a real-time communication link with the user terminal to obtain the user location fed back by the user terminal in real time.
In S1032, the first service processing node searches, through the ElasticSearch cluster, the vehicle position where the distance value between the first service processing node and the user position is smaller than a preset distance threshold from among all the received vehicle positions included in the vehicle information, and identifies the vehicle-mounted intelligent terminal to which the vehicle position obtained through the search belongs as a target intelligent terminal.
In this embodiment, the first service processing node may receive vehicle information sent by each vehicle-mounted intelligent terminal, after the user position of the user terminal is determined, search for target data in full-text data formed by all vehicle positions may be performed through an ElasticSearch frame, a distance value between each vehicle position and the user position is calculated, a vehicle position at which the distance value is smaller than a preset distance threshold value is selected as target data, the target data is extracted, a terminal identifier corresponding to each target data is determined, that is, a vehicle-mounted intelligent terminal corresponding to the vehicle position is identified as a target intelligent terminal.
In S1033, the first service processing node obtains a real-time location of each target smart terminal, and generates a vehicle driving track about each target smart terminal based on the real-time location.
In this embodiment, the first service processing node may establish a real-time communication link with the target intelligent terminal, acquire a real-time position of the target intelligent terminal through the real-time communication link, and mark the position of the target intelligent terminal on a preset map interface in real time, so that a user can conveniently determine the position of all vehicles. In order to improve the display efficiency of vehicle position query, the first service processing node can also draw the vehicle running track of the target intelligent terminal on a preset map interface according to each real-time position.
In S1034, the first service processing node sends the vehicle driving track.
In this embodiment, the first service processing node may use the vehicle driving track as a service response result, and send the service response result to the user terminal, it should be noted that before receiving the query end instruction sent by the user terminal, the first service processing node may continuously obtain real-time drawing of the target intelligent vehicle, update the vehicle driving track, and send the updated vehicle driving track to the user terminal.
In the embodiment of the invention, the associated target intelligent terminal is selected according to the position of the user, the vehicle running track of the target intelligent terminal is generated and sent to the user terminal so as to respond to the vehicle inquiry request of the user, and the display effect of the vehicle position is improved.
Fig. 5 is a flowchart illustrating a response method for vehicle service according to a fifth embodiment of the present invention. Referring to fig. 5, with respect to any one of the embodiments in fig. 1 to 3, before the first service processing node receives the vehicle information returned by each vehicle-mounted intelligent terminal based on the data acquisition instruction, and generates the service response result corresponding to the service request according to all the vehicle information, the response method for vehicle service according to this embodiment further includes: S501-S502 are detailed as follows:
further, before the first service processing node receives vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information, the method further includes:
in S501, the service response middleware divides the vehicle information into a plurality of data packets based on a data type; each of the data packets corresponds to one of the data types.
In this embodiment, the vehicle information uploaded by the vehicle-mounted intelligent terminal may include different types of data, for example, position information, fee deduction information, image data captured during the driving of the vehicle, and the like. In order to improve the efficiency of data storage, the response system of the vehicle service can store different types of data in different databases according to different types of data so as to improve the efficiency of data storage.
In this embodiment, before sending the vehicle information to the first service processing node, the vehicle-mounted intelligent terminal may send the vehicle information to the service response middleware, and the service response middleware may divide the vehicle information into different data packets based on a division rule of a data type, where of course, if the vehicle information only carries one type of data, one data packet is obtained. Each packet corresponds to a data type.
In S502, the service response middleware queries the first service processing node associated with the data type, and sends the data packet corresponding to the data type to the first service processing node.
In this embodiment, the service response middleware queries the data type associated with each first service processing node, and determines the first service processing node corresponding to the storage data packet according to the data type associated with each data packet acquired this time. For example, for a data packet of a location type, the data packet can be sent to a first service processing node constructed based on the mongoDB framework; for the data packets with the cost types of service recharging, fee deduction and the like, the data packets can be sent to a first service processing node constructed based on a MySQL frame, and Redis is provided for caching query data; the data packets of the picture type can be sent to the first service processing node constructed based on the HDFS framework, and the data packets of the real-time log data type can be sent to the first service processing node constructed based on the ElasticSearch cluster framework for indexing and querying.
In the embodiment of the invention, the vehicle information is divided into different data packets according to the data types and is sent to the associated service processing node for storage according to the data types, so that the efficiency of data storage and query is improved.
Fig. 6 shows a flowchart of an implementation of S101 of a response method for vehicle service according to a sixth embodiment of the present invention. Referring to fig. 6, with respect to any one of the embodiments in fig. 1 to 3, a response method S101 for vehicle service provided by this embodiment includes: s1011 to S1012, detailed description is as follows:
further, if the first service processing node comprises a plurality of cluster servers, the response system for the vehicle service further comprises a load balancing server;
the service response middleware receiving a service request and determining a first service processing node for responding to a service type of the service request based on the service type of the service request comprises:
in S1011, the load balancing server obtains the current load parameter of each cluster server, and selects a target server based on the load parameter.
In this embodiment, in the response system for vehicle service, the first service processing node includes a cluster server, that is, the first service processing node is formed by a plurality of cluster servers together, at this time, after determining the first service processing node associated with the service request, the service response middleware needs to determine to specifically deliver the first service processing node to a target server connected below the node for response, and based on this, a load balancing server may be configured in the service response system, so as to implement load balancing of each cluster server in the same node.
In this embodiment, after the service response middleware determines the first service response node responding to the service request, the service response middleware may send a node identifier to the load balancing server, and the load balancing server may obtain load parameters of each cluster server connected to the node in a downstream manner according to the node identifier, and select a cluster server with the smallest load parameter as the target server.
In S1012, the service response middleware receives the load balancing server feedback about the communication address of the target server, and sends the service request to the target server of the first service processing node matching the service type based on the communication address.
In this embodiment, the load balancing server sends the selected communication address of the target server to the service response middleware, and then the service response middleware may send the service request to the target server according to the communication address, so as to respond to the service request through the target server.
In the embodiment of the invention, the load balancing server is configured in the system to realize the load balancing in the response system of the vehicle service, thereby improving the stability of the system and the efficiency of service response.
Fig. 7 is a flowchart illustrating a specific implementation of a response method for vehicle service according to a seventh embodiment of the present invention. Referring to fig. 7, with respect to any one of the embodiments shown in fig. 1 to 3, the method for responding to the vehicle service provided by this embodiment further includes: S701-S703 are detailed as follows:
in S701, the service response middleware obtains service types of all the service requests in the response system of the vehicle service in a preset monitoring period.
In this embodiment, the service response middleware acquires the service types of all the received service requests in the system in a preset monitoring period, so as to manage the operating state of the first service processing node in the system based on the service types.
In S702, if it is detected that the current monitoring period does not include a service request of any service type, the service response middleware adjusts the operating state of the first service processing node corresponding to the service type to a closed state.
In this embodiment, if the service response middleware detects that the current monitoring period does not include a service request of any service type, it indicates that the first service processing node associated with the service type is not required to respond to the service request currently, and at this time, the operating state of the first service processing node corresponding to the service type may be adjusted to a closed state, so as to reduce resource consumption. Optionally, if the first service processing node has processing logic of different service types built therein, the processing logic of the first service processing node may be switched from the processing logic corresponding to the currently absent service type to the processing logic of the currently present service type, so that a service request of a service type with a large request amount can be responded, and the utilization rate of resources is improved.
In S703, if the service response middleware detects that a new service type exists in the current monitoring period, the service response middleware adjusts the operating state of the first service processing node corresponding to the new service type to an open state.
In this embodiment, if the service response middleware detects that a new service type exists in the current monitoring period, that is, the received service type cannot find a matched processing node in the currently started first service processing node, at this time, the running state of the first service processing node of the new service type may be adjusted to an open state, so as to respond to the service request of the currently added request type. When the capacity of the response system of the vehicle service is expanded, the newly added first service response node can be added into the management and control node list of the service response middleware, and the corresponding service type is associated with the newly added first service response node, so that the convenience of capacity expansion operation is improved.
In the embodiment of the invention, the service response middleware can manage the switching state of the first service processing node according to the condition of the service request in the current system, thereby improving the resource utilization rate of the system.
Fig. 8 is a schematic structural diagram illustrating a response system for vehicle service according to an embodiment of the present invention. Referring to fig. 8, the response system of the vehicle service includes a user terminal 81, a vehicle-mounted intelligent terminal 82, a service response middleware 83, a load balancing server 84, a first service processing node 85, a second service processing node 86, and a third service processing node 87. Wherein, the user terminal 81 can send the service request to the service response middleware 83, determine the service processing node corresponding to the service request through the service response middleware 83, because each service processing node usually includes a plurality of cluster servers, one load balancing server 84 can be cascaded, determine the cluster server for responding to the service request in the target service processing node through the load balancing server 84, wherein the service processing node can be built based on different frames corresponding to different service types and data types stored in the service types, for example, for the first service processing node 85 of the account management service type and the vehicle information service type, the service processing node can be built through a MongoDB frame, for the first service processing node 85 of the recharging payment service type, the service processing node can be built through a MySQL frame, and the large data processing is needed due to the analysis of the user behavior, the second service processing node 86 may be constructed through a Spark framework, store detailed data through an HBASE database, and search for location information data through an ElasticSearch database, thereby enabling real-time display of location information and drawing of a driving track. The third service processing node 87 performs data cleaning and data filtering on the received service request and the data sent by the vehicle-mounted intelligent terminal 82, so as to ensure the integrity of the received data.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.
Fig. 9 is a block diagram illustrating a response system for vehicle service according to another embodiment of the present invention, where the response system for vehicle service includes units for performing the steps in the corresponding embodiment of fig. 1. Please refer to fig. 1 and fig. 1 for the corresponding description of the embodiment. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 9, the response system for vehicle service includes: service response middleware 91 and at least one service processing node 92;
the service response middleware 91 is configured to receive a service request, and determine, based on a service type of the service request, a first service processing node for responding to the service type;
the first service processing node 92 is configured to receive the service request sent by the service response middleware and send a data acquisition instruction;
the first service processing node 92 is configured to receive vehicle information returned based on the data acquisition instruction, and generate a service response result corresponding to the service request according to all the vehicle information;
the first service processing node 92 is configured to send the service response result.
Optionally, the service request includes a vehicle service request, and the service processing node includes a second service processing node 921 constructed based on the large-scale data processing engine Spark.
The second service processing node 921, configured to receive the vehicle-use service request; the car using service request comprises request initiating time and a request initiating address.
And the second service processing node 921 is configured to generate a time dimension representation related to the in-vehicle service according to the request initiation time of all the in-vehicle service requests.
And the second service processing node 921 is configured to mark each request initiation address of the car use service request on a preset map interface, so as to obtain a car use request distribution map.
And the second service processing node 921 is configured to generate vehicle deployment recommendation information according to the time dimension representation and the vehicle usage request distribution map, and send the vehicle deployment recommendation information.
Optionally, the service processing node includes a third service processing node 922 for data filtering;
the third service processing node 922 is configured to receive vehicle information, and identify whether each piece of the vehicle information includes a target information item.
The third service processing node 922 is configured to, if it is detected that any one of the pieces of vehicle information does not include any one of the target information items, identify that the piece of vehicle information is abnormal information, and send a data re-acquisition instruction.
The third service processing node 922 is configured to send the vehicle information to the first service processing node if it is detected that any one of the vehicle information items includes all the target information items.
Optionally, if the service request is a vehicle location query request, the first service processing node 92 is a service processing node based on a distributed full-text search cluster.
Specifically, the first service processing node 92 is configured to obtain a user location.
Specifically, the first service processing section 92 is configured to search, by using the ElasticSearch cluster, vehicle positions in all the received vehicle positions included in the vehicle information, where a distance value between the vehicle position and the user position is smaller than a preset distance threshold, and identify a vehicle-mounted intelligent terminal to which the vehicle position obtained through the search belongs as a target intelligent terminal.
Specifically, the first service processing node 92 is configured to obtain a real-time location of each target smart terminal, and generate a vehicle driving track about each target smart terminal based on the real-time location.
Specifically, the first service processing node 92 is configured to send the vehicle driving track.
Optionally, the service response middleware 91 is specifically configured to:
the service response middleware 91 is configured to divide the vehicle information into a plurality of data packets based on data types; each data packet corresponds to one data type;
the service response middleware 91 is configured to query the first service processing node associated with the data type, and send the data packet corresponding to the data type to the first service processing node.
Optionally, if the first service processing node 91 includes a plurality of cluster servers, the response system for vehicle service further includes a load balancing server.
And the load balancing service is used for acquiring the current load parameter of each cluster server and selecting a target server based on the load parameter.
The service response middleware 91 is configured to receive the communication address of the load balancing server feedback about the target server, and send the service request to the target server of the first service processing node matching the service type based on the communication address.
Optionally, the service response middleware 91 is configured to obtain service types of all the service requests in the response system of the vehicle service in a preset monitoring period.
Optionally, the service response middleware 91 is configured to, if it is detected that the current monitoring period does not include a service request of any service type, adjust the operating state of the first service processing node corresponding to the service type to a closed state.
Optionally, the service response middleware 91 is configured to, if it is detected that a new service type exists in the current monitoring period, adjust an operating state of the first service processing node corresponding to the new service type to an open state.
Therefore, in the response system for vehicle services provided in the embodiment of the present invention, the corresponding first service processing node is configured for different service types, and the service request is sent to the corresponding first service processing node according to the service type through the service response middleware, so that the independence of processing logics of different types of vehicle services can be ensured, the coupling degree between different service types is reduced, the success rate of service response is improved, and response anomalies caused by logic conflicts are reduced; on the other hand, because different service types in the service response system are handed to different service processing nodes to respond to the service request, the parallel processing of multiple types of requests can be realized, the response efficiency of vehicle service is improved, and the response time consumption of response operation is reduced.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (8)
1. A response method of vehicle service is applied to a response system of vehicle service, and is characterized in that the response system of vehicle service comprises: service response middleware and at least one service processing node;
the response method of the vehicle service comprises the following steps:
the service response middleware receives a service request and determines a first service processing node for responding to the service type based on the service type of the service request;
the first service processing node receives the service request sent by the service response middleware and sends a data acquisition instruction;
the first service processing node receives vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information;
the first service processing node sends the service response result;
the service request comprises a vehicle service request, and the service processing nodes comprise second service processing nodes built based on a large-scale data processing engine Spark; the response method of the vehicle service further includes:
the second service processing node receives the vehicle service request; the car using service request comprises request initiating time and a request initiating address;
the second service processing node generates a time dimension portrait about the vehicle using service according to the request initiation time of all the vehicle using service requests;
the second service processing node marks the request initiating address of each vehicle using service request on a preset map interface to obtain a vehicle using request distribution map;
and the second service processing node generates vehicle deployment recommendation information according to the time dimension portrait and the vehicle using request distribution map, and sends the vehicle deployment recommendation information.
2. The response method of claim 1, wherein the serving processing node comprises a third serving processing node for data filtering;
before the first service processing node receives the vehicle information returned based on the data acquisition instruction and generates a service response result corresponding to the service request according to all the vehicle information, the method further includes:
the third service processing node receives each piece of vehicle information and identifies whether each piece of vehicle information contains a target information item;
if the third service processing node detects that any piece of vehicle information does not contain any target information item, the third service processing node identifies the vehicle information as abnormal information and sends a data re-acquisition instruction;
and if the third service processing node detects that any vehicle information contains all the target information items, the third service processing node sends the vehicle information to the first service processing node.
3. The response method according to any one of claims 1 to 2, wherein if the service request is a vehicle location query request, the first service processing node is a service processing node based on a distributed full-text search cluster;
the first service processing node receives the vehicle information returned based on the data acquisition instruction, and generates a service response result corresponding to the service request according to all the vehicle information, wherein the service response result comprises:
the first service processing node acquires a user position;
the first service processing node searches vehicle positions with a distance value smaller than a preset distance threshold value from all the received vehicle information contained in the vehicle positions through the ElasticSearch cluster, and identifies the vehicle-mounted intelligent terminal to which the searched vehicle positions belong as a target intelligent terminal;
the first service processing node acquires the real-time position of each target intelligent terminal and generates a vehicle running track related to each target intelligent terminal based on the real-time position;
and the first service processing node sends the vehicle running track.
4. The response method according to any one of claims 1-2, before the first service processing node receives the vehicle information returned based on the data collection instruction and generates a service response result corresponding to the service request according to all the vehicle information, further comprising:
the service response middleware divides the vehicle information into a plurality of data packets based on data types; each data packet corresponds to one data type;
and the service response middleware queries the first service processing node associated with the data type and sends the data packet corresponding to the data type to the first service processing node.
5. The response method according to any one of claims 1-2, wherein if the first service processing node comprises a plurality of cluster servers, the response system for vehicular service further comprises a load balancing server;
the service response middleware receiving a service request and determining a first service processing node for responding to a service type of the service request based on the service type of the service request comprises:
the load balancing server acquires the current load parameters of each cluster server and selects a target server based on the load parameters;
the service response middleware receives the communication address of the load balancing server feedback about the target server and sends the service request to the target server of the first service processing node matched with the service type based on the communication address.
6. The response method according to any one of claims 1 to 2, characterized in that the response method further comprises:
the service response middleware acquires the service types of all the service requests in a response system of the vehicle service in a preset monitoring period;
if the service response middleware detects that the current monitoring period does not contain the service request of any service type, adjusting the running state of the first service processing node corresponding to the service type into a closed state;
and if the service response middleware detects that a new service type exists in the current monitoring period, the service response middleware adjusts the running state of the first service processing node corresponding to the new service type into an open state.
7. A response system for vehicular service, the response system for vehicular service comprising: service response middleware and at least one service processing node;
the service response middleware is used for receiving a service request and determining a first service processing node for responding to the service type based on the service type of the service request;
the first service processing node is used for receiving the service request sent by the service response middleware and sending a data acquisition instruction;
the first service processing node is used for receiving the vehicle information returned based on the data acquisition instruction and generating a service response result corresponding to the service request according to all the vehicle information;
the first service processing node is used for sending the service response result;
the service request comprises a vehicle service request, and the service processing nodes comprise second service processing nodes built based on a large-scale data processing engine Spark;
the second service processing node is used for receiving the vehicle using service request; the car using service request comprises request initiating time and a request initiating address;
the second service processing node is used for generating a time dimension portrait about the car using service according to the request initiation time of all the car using service requests;
the second service processing node is used for marking the request initiating address of each vehicle using service request on a preset map interface to obtain a vehicle using request distribution map;
and the second service processing node is used for generating vehicle deployment recommendation information according to the time dimension portrait and the vehicle using request distribution map, and sending the vehicle deployment recommendation information.
8. The response system of claim 7, wherein the service processing node comprises a third service processing node for data filtering;
the third service processing node is used for receiving each piece of vehicle information and identifying whether each piece of vehicle information contains a target information item;
the third service processing node is configured to, if it is detected that any one of the pieces of vehicle information does not include any one of the target information items, identify the piece of vehicle information as abnormal information, and send a data re-acquisition instruction;
and the third service processing node is used for sending the vehicle information to the first service processing node if any vehicle information is detected to contain all the target information items.
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| CN112199266B (en) * | 2020-10-23 | 2022-11-29 | 中国第一汽车股份有限公司 | Log transmission method and system for vehicle-mounted machine system, vehicle and storage medium |
| CN112596899A (en) * | 2020-12-18 | 2021-04-02 | 江苏省苏力环境科技有限责任公司 | Pollution source online monitoring concurrent data processing method, system and storage medium |
| CN113986493B (en) * | 2021-10-26 | 2023-11-14 | 阿波罗智能技术(北京)有限公司 | Service use request processing method, related device and computer program product |
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