WO2020024434A1 - 一种车辆信息查询方法和系统 - Google Patents

一种车辆信息查询方法和系统 Download PDF

Info

Publication number
WO2020024434A1
WO2020024434A1 PCT/CN2018/110586 CN2018110586W WO2020024434A1 WO 2020024434 A1 WO2020024434 A1 WO 2020024434A1 CN 2018110586 W CN2018110586 W CN 2018110586W WO 2020024434 A1 WO2020024434 A1 WO 2020024434A1
Authority
WO
WIPO (PCT)
Prior art keywords
query
cache
model information
database
keyword
Prior art date
Application number
PCT/CN2018/110586
Other languages
English (en)
French (fr)
Inventor
蔡灵敏
Original Assignee
平安科技（深圳）有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 平安科技（深圳）有限公司 filed Critical 平安科技（深圳）有限公司
Publication of WO2020024434A1 publication Critical patent/WO2020024434A1/zh

Links

Images

Classifications

    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the present application relates to the field of computer technology, and in particular, to a vehicle information query method and system.
  • agents can perform business processing over the phone, such as applying for vehicle insurance for users, recommending vehicle insurance to users, answering users' questions about vehicle insurance, etc. Because the car insurance business is often related to vehicle models, agents often need to be in the database Query model information.
  • the database requires frequent and large query operations of vehicle model information.
  • the database has a large processing burden and a large processing pressure, which may easily cause the database to crash, Queries are slow.
  • the present application provides a vehicle information query method and system to reduce data processing pressure.
  • the present application provides a vehicle information query method.
  • the method is applied to a system including a cache and a query client used by an agent.
  • the method includes:
  • the query client sends a query keyword to the cache
  • the cache query matches vehicle model information matching the query keywords
  • the cache pushes the model information to the query client.
  • system further includes a database
  • method further includes:
  • the cache When the cache does not query vehicle model information that matches the query keyword, the cache sends an indication message to the query client to indicate that the query failed;
  • the query client After receiving the instruction message, the query client sends the query keyword to the database;
  • the database querying vehicle model information matching the query keywords
  • the database pushes the model information to the query client.
  • system further includes a database
  • method further includes:
  • the cache When the cache does not query vehicle model information matching the query keyword, the cache sends the query keyword to the database;
  • the database querying vehicle model information matching the query keywords
  • the database pushes the model information to the query client.
  • the method further includes:
  • the cache stores the model information.
  • the method further includes:
  • the cache stores vehicle model information corresponding to query keywords whose number of queries exceeds a specified threshold.
  • the present application provides a vehicle information query system, which includes a cache unit and a query unit used by agents;
  • the query unit is configured to send a query keyword to the cache unit
  • the cache unit is configured to query vehicle type information matching the query keyword
  • the buffer unit is further configured to push the vehicle model information to the query unit.
  • the system further includes a storage unit;
  • the cache unit is further configured to: when the cache unit does not query vehicle type information matching the query keyword, send an instruction message to the query unit to indicate that the query fails;
  • the query unit is further configured to send the query keyword to the storage unit after receiving the instruction message;
  • the storage unit is configured to query vehicle type information matching the query keyword
  • the storage unit is further configured to push the vehicle model information to the query unit.
  • the system further includes a storage unit;
  • the cache unit is further configured to send the query keyword to the storage unit when the cache unit does not query vehicle type information matching the query keyword;
  • the storage unit is configured to query vehicle type information matching the query keyword
  • the storage unit is further configured to push the vehicle model information to the query unit.
  • the storage unit is further configured to:
  • the storage unit queries vehicle type information matching the query keyword, push the vehicle type information to the cache unit;
  • the buffer unit is further configured to store the model information.
  • the cache unit is further configured to count query keywords whose query times exceed a specified threshold
  • the cache unit is further configured to store vehicle model information corresponding to a query keyword whose query count exceeds a specified threshold.
  • an embodiment of the present application provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the first program as described above when the computer program is executed. Aspect of the method.
  • an embodiment of the present application provides a computer non-volatile readable storage medium, which is characterized in that the computer non-volatile readable storage medium includes a stored program, and where the program is controlled when the program is run
  • the device on which the computer non-volatile readable storage medium is located executes the method according to the first aspect.
  • the query client after obtaining the query keywords, sends the query keywords to the cache. Because the cache has a storage function, some vehicle model information can be stored in the cache in advance. After receiving the query keywords, the cache , Directly query the vehicle model information matching the query keyword from the vehicle model information stored by itself, and then push the queryed vehicle model information to the query client so that the query client can display it.
  • the query client because when the agent queries the vehicle model information, the query client sends the query keywords to the cache, and the cache searches from the vehicle model information stored in itself. Since there is no need to query from the database, it is beneficial to reduce the processing pressure of the database. It is beneficial to reduce the probability of database crash. At the same time, because the cache has the advantage of fast query speed, when querying vehicle model information through the cache, it is beneficial to improve the query speed.
  • FIG. 1 is a schematic flowchart of a vehicle information query method provided by the present application
  • FIG. 2 is a schematic flowchart of another vehicle information query method provided by the present application.
  • FIG. 3 is a schematic flowchart of another vehicle information query method provided by this application.
  • FIG. 4 is a schematic flowchart of another vehicle information query method provided by this application.
  • FIG. 5 is a schematic flowchart of another vehicle information query method provided by the present application.
  • FIG. 6 is a schematic structural diagram of a vehicle information query system provided by the present application.
  • FIG. 7 is a schematic structural diagram of another vehicle information query system provided by the present application.
  • FIG. 8 is a schematic structural diagram of another vehicle information query system provided by the present application.
  • FIG. 1 is a schematic flowchart of a vehicle information query method provided by the present application.
  • the method is applied to a system including a cache and a query client used by agents.
  • the method can be applied to a vehicle type query scenario, and can be specifically applied to car insurance
  • the method includes the following steps:
  • the query client sends a query keyword to the cache.
  • the query client may be a computer used by the agent, and the query client may provide an input box for receiving query keywords input by the agent.
  • the specific format of the query keywords can be set according to actual needs.
  • the query keywords can be information related to the vehicle type, such as the brand of the vehicle, the name of the vehicle, or the key letters in the model. This application does not address this. It is specifically limited.
  • some specified vehicle model information is stored in the cache in advance, or some commonly used vehicle model information is stored according to actual needs.
  • the cache After receiving the query keyword, the cache queries from the stored vehicle model information according to the query keyword Match model information to get target model information.
  • the cache pushes the model information to the query client.
  • the target vehicle model information is cached, the target vehicle model information is pushed to the query client, so that the query client displays the target vehicle model information, so that the agent can answer questions for the customer based on the vehicle model information.
  • the query client after obtaining the query keywords, sends the query keywords to the cache. Because the cache has a storage function, some vehicle model information can be stored in the cache in advance. After receiving the query keywords, the cache , Directly query the vehicle model information matching the query keyword from the vehicle model information stored by itself, and then push the queryed vehicle model information to the query client so that the query client can display it.
  • the query client because when the agent queries the vehicle model information, the query client sends the query keywords to the cache, and the cache searches from the vehicle model information stored in itself. Since there is no need to query from the database, it is beneficial to reduce the processing pressure of the database. It is beneficial to reduce the probability of database crash. At the same time, because the cache has the advantage of fast query speed, when querying vehicle model information through the cache, it is beneficial to improve the query speed.
  • the cache can be set on the background server, or the cache server can be set as the cache separately, or the cache can be set on the query client, that is, the cache can be set on the computer used by the agent,
  • the specific manner may be set according to actual needs, and is not specifically limited herein.
  • the cache server can automatically clear the data after it is turned off every day.
  • it can be cleared according to the specified clear rules.
  • the model data is not cleared every time the cache server is closed.
  • the above model data can be cleared after the data clearing operation is performed a specified number of times. That is, the above model data can be stored in the cache server for a long time and will not be cached.
  • the server is cleared every day after the server is turned off. For another example, statistics are collected on vehicle models that are used more than a certain value.
  • the vehicle model data can be stored in the cache server for a specified period of time. After the server is shut down, the model data is cleared. Alternatively, you can delete data at a specified period.
  • FIG. 2 is a schematic flowchart of another vehicle information query method provided by the present application.
  • the system further includes a database, that is, the system includes a database, a cache, and a query client, as shown in FIG. 2.
  • the method further includes the following steps:
  • the cache When the cache does not query vehicle model information that matches the query keywords, the cache sends an indication message to the query client to indicate that the query failed.
  • the query client After receiving the instruction message, the query client sends a query keyword to the database.
  • the database queries the vehicle model information that matches the query keywords.
  • the database pushes the model information to the query client.
  • the cache when querying the vehicle model information that matches the query keyword, the cache first queries whether the vehicle model information stored in the vehicle model information that matches the query keyword exists, and if it exists, the query result is pushed to the query customer. End, if it does not exist, send an indication message to the query client to indicate that the query failed, and then the query client continues to push the query keyword to the database, and the database performs the query again, and the database pushes the query result to the query.
  • the client that is, if the model information matching the query keyword is stored in the cache, the query result is directly pushed to the query client. If it does not exist, the database queries the model information matching the query keyword.
  • the number of queries from the query client to the database can be reduced, which is beneficial to reducing the data processing load, which is beneficial to reducing the probability of a database crash. Also, because the cache has a bit of fast query speed, it also has Conducive to improving query speed.
  • the data stored in the cache may be part of the data stored in the database, or may be the same as the data stored in the database.
  • the specific setting method can be set according to actual needs, and is not specifically limited here.
  • FIG. 3 is a schematic flowchart of another vehicle information query method provided by the present application.
  • the system further includes a database, that is, the system includes a database, a cache, and a query client, as shown in FIG. 3,
  • the method further includes the following steps:
  • the cache sends the query keywords to the database.
  • the database queries the vehicle model information that matches the query keywords.
  • the database pushes the model information to the query client.
  • the cache when querying the vehicle model information that matches the query keyword, the cache first queries whether the vehicle model information stored in the vehicle model information that matches the query keyword exists, and if it exists, the query result is pushed to the query customer. End, if it does not exist, the cache will push the query keywords to the database, and then the database will perform the query, and the database will push the query results to the query client, that is, if the cache matches the query keywords For the vehicle model information, the query result is directly pushed to the query client. If it does not exist, then the database queries the model information that matches the query keyword. After using the above method, the number of query from the client to the database can be reduced. It is beneficial to reduce the processing load of data, which is helpful to reduce the probability of database crash.
  • the cache has a bit of query speed, it is also helpful to improve the query speed.
  • the cache will directly query the keywords Sent to the database, the database continues to be queried by the way help to reduce signaling overhead, and help to improve query speed.
  • FIG. 4 is a schematic flowchart of another vehicle information query method provided in the present application. As shown in FIG. 4, after step 203 or step 302 is performed, the method further includes the following steps:
  • the database pushes the model information to a cache.
  • the cache stores the model information.
  • the database synchronizes the model information to the cache so that the cache receives the After the query keywords, the query results can be obtained from the cache and pushed to the query client, which is beneficial to improving the query efficiency.
  • the query client can also synchronize the query results obtained from the database to the cache.
  • the specific implementation can be set according to actual needs, and is not detailed here. limited.
  • FIG. 5 is a schematic flowchart of another vehicle information query method provided in the present application. As shown in FIG. 5, the method further includes the following steps:
  • the cache stores vehicle model information corresponding to the query keywords whose query times exceed a specified threshold.
  • the cache must count the query keywords whose query times exceed the specified threshold, that is, the cache needs to count the commonly used query keywords, such as the query keywords entered by all agents, and the query times exceed the specified number.
  • Store the vehicle model information corresponding to the threshold query keyword and store the vehicle model information corresponding to the query keyword, so that in subsequent queries, the hit rate of the cached vehicle model information can be improved, and it is beneficial to reduce the query from the database Queries.
  • the size of the specified threshold can be set according to actual needs, and is not specifically limited here.
  • FIG. 6 is a schematic structural diagram of a vehicle information query system provided in the present application. As shown in FIG. 6, the system includes a cache unit 61 and a query unit 62 used by agents.
  • the query unit 62 is configured to store and send query keywords to the buffer unit 61;
  • the buffer unit 61 is configured to query vehicle type information matching the query keywords
  • the buffer unit 61 is further configured to push the model information to the query unit 62.
  • FIG. 7 is a schematic structural diagram of another vehicle information query system provided in the present application. As shown in FIG. 7, the system further includes a storage unit 63;
  • the buffer unit 61 is further configured to send an instruction message for indicating that the query fails to the query unit 62 when the buffer unit 61 does not query vehicle type information matching the query keywords;
  • the query unit 62 is further configured to send a query keyword to the storage unit 63 after receiving the instruction message;
  • a storage unit 63 configured to query vehicle type information matching the query keywords
  • the storage unit 63 is further configured to push the vehicle model information to the query unit 62.
  • FIG. 8 is a schematic structural diagram of another vehicle information query system provided in the present application. As shown in FIG. 8, the system further includes a storage unit 63;
  • the cache unit 61 is further configured to send the query keywords to the storage unit 63 when the cache unit 61 does not query vehicle type information matching the query keywords;
  • a storage unit 63 configured to query vehicle type information matching the query keywords
  • the storage unit 63 is further configured to push the vehicle model information to the query unit 62.
  • the storage unit 63 is further configured to:
  • the storage unit 63 queries the vehicle model information that matches the query keywords, push the vehicle model information to the cache unit 61;
  • the buffer unit 61 is further configured to store the vehicle model information.
  • the cache unit 61 is further configured to count query keywords whose query times exceed a specified threshold
  • the cache unit 61 is further configured to store vehicle model information corresponding to a query keyword whose number of queries exceeds a specified threshold.
  • cache unit 61 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk, etc.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EPROM erasable programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory magnetic memory
  • flash memory magnetic disk or optical disk, etc.
  • the above-mentioned query unit 62 includes, but is not limited to, a personal computer (PC), a personal digital assistant (PDA), a wireless handheld device, a tablet computer, a mobile phone, and the like.
  • PC personal computer
  • PDA personal digital assistant
  • the above-mentioned storage unit 63 may be a solid state hard disk, a mechanical hard disk, a hybrid hard disk, or the like, which can be permanently sealed and fixed in the hard disk drive.
  • the query client after obtaining the query keywords, sends the query keywords to the cache. Because the cache has a storage function, some vehicle model information can be stored in the cache in advance. After receiving the query keywords, the cache , Directly query the vehicle model information matching the query keyword from the vehicle model information stored by itself, and then push the queryed vehicle model information to the query client so that the query client can display it.
  • the query client because when the agent queries the vehicle model information, the query client sends the query keywords to the cache, and the cache searches from the vehicle model information stored in itself. Since there is no need to query from the database, it is beneficial to reduce the processing pressure of the database. It is beneficial to reduce the probability of database crash. At the same time, because the cache has the advantage of fast query speed, when querying vehicle model information through the cache, it is beneficial to improve the query speed.
  • An embodiment of the present application further provides a computer device.
  • the computer device includes a memory and a processor.
  • the memory is used to store information including program instructions.
  • the processor is used to control the execution of the program instructions.
  • the computer device application is used to include caches and agents. In the query client system, when the program instructions are loaded and executed by the processor, the following steps are implemented: the query client sends query keywords to the cache; the query queries the vehicle model information that matches the query keywords; the cache pushes the model information to the query client end.
  • the system further includes a database, and when the program instructions are loaded and executed by the processor, the following steps are further implemented: when the cache does not query vehicle model information that matches the query keywords, the cache sends a query to the query client to indicate that the query has failed After receiving the instruction message, the query client sends query keywords to the database; the database queries the model information that matches the query keywords; the database pushes the model information to the query client.
  • the system further includes a database, and when the program instructions are loaded and executed by the processor, the following steps are also implemented: when the cache does not query vehicle model information that matches the query keywords, the cache sends the query keywords to the database; the database queries Model information that matches the query keywords; the database pushes the model information to the query client.
  • the program instructions are loaded and executed by the processor to further implement the following steps: the database pushes the vehicle model information to the cache; the cache stores the vehicle model information.
  • the following steps are also implemented: cache query keywords whose statistical query count exceeds a specified threshold; cache the vehicle model information corresponding to the query keywords whose query count exceeds the specified threshold.
  • An embodiment of the present application further provides a computer non-volatile readable storage medium.
  • the computer non-volatile readable storage medium includes a stored program.
  • the computer non-volatile readable storage medium is applied to a computer including a cache and an agent.
  • the device that controls the computer's non-volatile readable storage medium executes the following steps: the query client sends query keywords to the cache; the cache queries the vehicle model information that matches the query keywords ; The cache pushes the model information to the query client.
  • the system further includes a database
  • the device that controls the computer's non-volatile readable storage medium further performs the following steps: when no model information matching the query keyword is cached, the cache queries the customer
  • the terminal sends an instruction message for indicating that the query fails;
  • the query client sends a query keyword to the database after receiving the indication message;
  • the database queries the vehicle model information that matches the query keyword;
  • the database pushes the model information to the query client.
  • the system further includes a database.
  • the device that controls the computer's non-volatile readable storage medium also performs the following steps: When the cache does not query vehicle model information that matches the query keywords, the cache queries the key The words are sent to the database; the database queries the vehicle model information that matches the query keywords; the database pushes the vehicle model information to the query client.
  • controlling the device where the computer non-volatile readable storage medium is located while the program is running also performs the following steps: the database pushes the vehicle model information to the cache; Information is stored.
  • the device controlling the computer's non-volatile readable storage medium further performs the following steps: caching query keywords whose statistical query times exceed a specified threshold; caching the corresponding keywords of query keywords whose query times exceed the specified threshold Model information is stored.

Landscapes

  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

本申请提供一种车辆信息查询方法和系统，该方法包括：查询客户端向缓存发送查询关键词；缓存查询与查询关键词相匹配的车型信息；缓存将车型信息推送给查询客户端，在本申请实施例中，由于坐席人员在查询车型信息时，查询客户端会将查询关键词发送给缓存，由缓存从自身存储的车型信息中进行查询，由于无需从数据库中进行查询，从而有利于降低数据库的处理压力。

Description

一种车辆信息查询方法和系统
本申请要求于2018年07月31日提交中国专利局、申请号为201810858027.2、发明名称为“一种车辆信息查询方法和系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及计算机技术领域，尤其涉及一种车辆信息查询方法和系统。
背景技术
目前，坐席人员可以通过电话进行业务处理，如为用户办理车辆保险，向用户推荐车辆保险，答复用户关于车辆保险的疑问等，由于车险业务往往与车型相关，因此，坐席人员常常需要在数据库中查询车型信息。
然而，由于坐席人员较多，且每天会有大量的车险业务，因此，数据库需要频繁且大量的处理车型信息的查询业务，数据库的处理负担较大，处理压力比较大，从而容易导致数据库崩溃、查询速度慢等问题。
申请内容
有鉴于此，本申请提供了一种车辆信息查询方法和系统，以降低数据的处理压力。
具体地，本申请是通过如下技术方案实现的：
第一方面，本申请提供了一种车辆信息查询方法，所述方法应用在包括缓存和坐席人员使用的查询客户端的系统中，所述方法包括：
所述查询客户端向所述缓存发送查询关键词；
所述缓存查询与所述查询关键词相匹配的车型信息；
所述缓存将所述车型信息推送给所述查询客户端。
可选地，所述系统还包括数据库，所述方法还包括：
当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存向所述查询客户端发送用于指示查询失败的指示消息；
所述查询客户端在接收到所述指示消息后，向所述数据库发送所述查询关键词；
所述数据库查询与所述查询关键词相匹配的车型信息；
所述数据库将该车型信息推送给所述查询客户端。
可选地，所述系统还包括数据库，所述方法还包括：
当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存将所述查询关键词发送给所述数据库；
所述数据库查询与所述查询关键词相匹配的车型信息；
所述数据库将该车型信息推送给所述查询客户端。
可选地，在所述数据库查询与所述查询关键词相匹配的车型信息后，所述方法还包括：
所述数据库将该车型信息推送给所述缓存；
所述缓存对该车型信息进行存储。
可选地，所述方法还包括：
所述缓存统计查询次数超过指定阈值的查询关键词；
所述缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
第二方面，本申请提供了一种车辆信息查询系统，所述系统包括缓存单元和坐席人员使用的查询单元；
所述查询单元，用于向所述缓存单元存发送查询关键词；
所述缓存单元，用于查询与所述查询关键词相匹配的车型信息；
所述缓存单元，还用于将所述车型信息推送给所述查询单元。
可选地，所述系统还包括存储单元；
所述缓存单元，还用于当所述缓存单元未查询到与所述查询关键词相匹配的车型信息时，向所述查询单元发送用于指示查询失败的指示消息；
所述查询单元，还用于在接收到所述指示消息后，向所述存储单元发送所述查询关键词；
所述存储单元，用于查询与所述查询关键词相匹配的车型信息；
所述存储单元，还用于将该车型信息推送给所述查询单元。
可选地，所述系统还包括存储单元；
所述缓存单元，还用于当所述缓存单元未查询到与所述查询关键词相匹配的车型信息时，将所述查询关键词发送给所述存储单元；
所述存储单元，用于查询与所述查询关键词相匹配的车型信息；
所述存储单元，还用于将该车型信息推送给所述查询单元。
可选地，所述存储单元，还用于：
在所述存储单元查询与所述查询关键词相匹配的车型信息后，将该车型信息推送给所述缓存单元；
所述缓存单元，还用于对该车型信息进行存储。
可选地，
所述缓存单元，还用于统计查询次数超过指定阈值的查询关键词；
所述缓存单元，还用于对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
第三方面，本申请实施例提供一种计算机设备，包括存储器、处理器以及存储在存储器中并可在处理器上运行的计算机程序，其特征在于，处理器执行计算机程序时实现如上述第一方面所述的方法。
第四方面，本申请实施例提供一种计算机非易失性可读存储介质，其特征在于，所述计算机非易失性可读存储介质包括存储的程序，其中，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备执行如上述第一方面所 述的方法。
上述技术方案中的任一个技术方案具有如下有益效果：
在本申请实施例中，查询客户端在获得查询关键词后，将该查询关键词发送给缓存，由于缓存具有存储功能，可以预先在缓存中存储一些车型信息，缓存在接收到查询关键词后，直接从自身存储的车型信息中查询与该查询关键词相匹配的车型信息，然后将查询到的车型信息推送给查询客户端，以便于查询客户端进行显示，在本申请实施例中，由于坐席人员在查询车型信息时，查询客户端会将查询关键词发送给缓存，由缓存从自身存储的车型信息中进行查询，由于无需从数据库中进行查询，从而有利于降低数据库的处理压力，有利于降低数据库崩溃的概率，同时，由于缓存具有查询速度快的优点，因此，在通过缓存查询车型信息时，有利于提高查询速度。
附图说明
图1为本申请提供的一种车辆信息查询方法的流程示意图；
图2为本申请提供的另一种车辆信息查询方法的流程示意图；
图3为本申请提供的另一种车辆信息查询方法的流程示意图；
图4为本申请提供的另一种车辆信息查询方法的流程示意图；
图5为本申请提供的另一种车辆信息查询方法的流程示意图；
图6为本申请提供的一种车辆信息查询系统的结构示意图；
图7为本申请提供的另一种车辆信息查询系统的结构示意图；
图8为本申请提供的另一种车辆信息查询系统的结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。 以下示例性实施例中所描述的实施方式并不代表与本申请相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本申请的一些方面相一致的装置和方法的例子。
在本申请使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本申请。在本申请和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
图1为本申请提供的一种车辆信息查询方法的流程示意图，该方法应用在包括缓存和坐席人员使用的查询客户端的系统中，该方法可以应用在车型查询的场景中，具体可以应用在车险坐席人员进行车型查询的业务处理的场景中，该方法包括以下步骤：
101、查询客户端向缓存发送查询关键词。
具体的，查询客户端可以是坐席人员使用的计算机，查询客户端可以提供输入框，用以接收坐席人员输入的查询关键词。查询关键词的具体格式可以根据实际需要进行设定，举例说明，查询关键词可以是与车型相关的信息，如车辆的品牌、车辆的名称或者型号中的关键字母等，本申请对此不进行特别限定。
102、缓存查询与查询关键词相匹配的车型信息。
具体的，预先在缓存中存储一些指定的车型信息，或者根据实际需要将一些常用的车型信息进行存储，缓存在接收到查询关键词之后，根据该查询关键词从自身已存储的车型信息中查询相匹配的车型信息，以获得目标车型信息。
需要注意的是，关于缓存中存储的具体车型信息可以根据实际需要进行设定，在此不做具体限定。
103、缓存将车型信息推送给查询客户端。
具体的，当缓存查询到目标车型信息后，将该目标车型信息推送给查询客户端，以便查询客户端对该目标车型信息进行显示，从而可以使坐席人员根据该车型信息为客户解答疑问。
在本申请实施例中，查询客户端在获得查询关键词后，将该查询关键词发送给缓存，由于缓存具有存储功能，可以预先在缓存中存储一些车型信息，缓存在接收到查询关键词后，直接从自身存储的车型信息中查询与该查询关键词相匹配的车型信息，然后将查询到的车型信息推送给查询客户端，以便于查询客户端进行显示，在本申请实施例中，由于坐席人员在查询车型信息时，查询客户端会将查询关键词发送给缓存，由缓存从自身存储的车型信息中进行查询，由于无需从数据库中进行查询，从而有利于降低数据库的处理压力，有利于降低数据库崩溃的概率，同时，由于缓存具有查询速度快的优点，因此，在通过缓存查询车型信息时，有利于提高查询速度。
需要注意的是，缓存可以设置在后台服务器上，或者，也可以单独设置缓存服务器作为缓存，再或者，也可以将缓存设置在查询客户端，即可以将缓存设置在坐席人员使用的计算机上，具体的方式可以根据实际需要进行设置，在此不做具体限定。
需要说明的是，如果设置缓存服务器，缓存服务器在每天关机后，可以自动清空数据，其中，在清空数据时可以按照指定的清楚规则进行清楚，例如，统计使用频率超过一定数值的车型数据，该车型数据不是在每次关闭缓存服务器时都被清除，当清空数据的动作执行指定次数后才可以将上述车型数据清除，即上述车型数据可以在缓存服务器中存储较长的时间，不会在缓存服务器每天关机之后就被清除，再例如，统计使用频率超过一定数值的车型数据，该车型数据可以在缓存服务器中保存指定的时长，当该车型数据在缓存服务器中存放的时长超时后，在缓存服务器在关机后，才对该车型数据进行清除。或者，也可以按照指定周期删除数据。
在一个可行的实施方案中，图2为本申请提供的另一种车辆信息查询方法 的流程示意图，该系统还包括数据库，即该系统包括数据库、缓存和查询客户端，如图2所示，该方法还包括以下步骤：
201、当缓存未查询到与查询关键词相匹配的车型信息时，缓存向查询客户端发送用于指示查询失败的指示消息。
202、查询客户端在接收到指示消息后，向数据库发送查询关键词。
203、数据库查询与查询关键词相匹配的车型信息。
204、数据库将该车型信息推送给查询客户端。
具体的，在查询与查询关键词相匹配的车型信息时，首先由缓存查询自身存储的车型信息中是否存在与该查询关键词相匹配的车型信息，如果存在，则将查询结果推送给查询客户端，如果不存在，则向查询客户端发送用于指示查询失败的指示消息，然后查询客户端继续将该查询关键词推送给数据库，由数据库再进行查询，并由数据库将查询结果推送给查询客户端，即如果缓存中存储有与该查询关键词相匹配的车型信息，则直接将查询结果推送给查询客户端，如果不存在，则再由数据库查询与该查询关键词相匹配的车型信息，在采用上述方式后，可以降低查询客户端到数据库查询的次数，有利于降低数据的处理负担，从而有利于降低数据库崩溃的概率，并且，由于缓存具有查询速度快的有点，因此，也有利于提高查询速度。
需要注意的是，缓存存储的数据可以为数据库中存储的数据的一部分，或者也可以与数据库中存储的数据相同，具体的设置方式可以根据实际需要进行设定，在此不做具体限定。
在一个可行的实施方案中，图3为本申请提供的另一种车辆信息查询方法的流程示意图，该系统还包括数据库，即该系统包括数据库、缓存和查询客户端，如图3所示，该方法还包括以下步骤：
301、当缓存未查询到与查询关键词相匹配的车型信息时，缓存将查询关键词发送给数据库。
302、数据库查询与查询关键词相匹配的车型信息。
303、数据库将该车型信息推送给查询客户端。
具体的，在查询与查询关键词相匹配的车型信息时，首先由缓存查询自身存储的车型信息中是否存在与该查询关键词相匹配的车型信息，如果存在，则将查询结果推送给查询客户端，如果不存在，则由缓存将查询关键词推送给数据库，然后由数据库再进行查询，并由数据库将查询结果推送给查询客户端，即如果缓存中存储有与该查询关键词相匹配的车型信息，则直接将查询结果推送给查询客户端，如果不存在，则再由数据库查询与该查询关键词相匹配的车型信息，在采用上述方式后，可以降低查询客户端到数据库查询的次数，有利于降低数据的处理负担，从而有利于降低数据库崩溃的概率，并且，由于缓存具有查询速度快的有点，因此，也有利于提高查询速度，同时，由于当缓存为查询到与查询关键词相匹配的车型信息时，缓存直接将查询关键词推送数据库，由数据库继续进行查询，该方式有利于降低信令的开销，并且有利于提高查询速度。
在一个可行的实施方案中，图4为本申请提供的另一种车辆信息查询方法的流程示意图，如图4所示，在执行完步骤203或步骤302后，该方法还包括以下步骤：
401、数据库将该车型信息推送给缓存。
402、缓存对该车型信息进行存储。
具体的，为了丰富缓存中存储的车型信息，降低从数据库进行查询的次数，在由数据库查询到与查询关键词相匹配的车型信息后，数据库将该车型信息同步至缓存，以便缓存在接收到该查询关键词后，可以由缓存获取到查询结果，并将该查询结果推送给查询客户端，从而有利于提高查询效率。
作为替换方案，在数据库将车型信息推送给查询客户端后，也可以由查询客户端将从数据库获得的查询结果同步给缓存，具体的实现方式可以根据实际需要进行设定，在此不做具体限定。
在一个可行的实施方案中，图5为本申请提供的另一种车辆信息查询方法 的流程示意图，如图5所示，该方法还包括下步骤：
501、缓存统计查询次数超过指定阈值的查询关键词。
502、缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
具体的，无论缓存是否查询成功，缓存都要统计查询次数超过指定阈值的查询关键词，即缓存需要统计常用的查询关键词，例如统计所有坐席人员输入的查询关键词，并对查询次数超过指定阈值的查询关键词对应的车型信息进行存储，并将该查询关键词对应的车型信息进行存储，以便在后续查询时，可以提高缓存查询车型信息的命中率，并且，有利于降低从数据库进行查询的查询次数。
需要注意的是，指定阈值的大小可以根据实际需要进行设定，在此不做具体限定。
图6为本申请提供的一种车辆信息查询系统的结构示意图，如图6所示，系统包括缓存单元61和坐席人员使用的查询单元62；
查询单元62，用于向缓存单元61存发送查询关键词；
缓存单元61，用于查询与查询关键词相匹配的车型信息；
缓存单元61，还用于将车型信息推送给查询单元62。
在一个可行的实施方案中，图7为本申请提供的另一种车辆信息查询系统的结构示意图，如图7所示，系统还包括存储单元63；
缓存单元61，还用于当缓存单元61未查询到与查询关键词相匹配的车型信息时，向查询单元62发送用于指示查询失败的指示消息；
查询单元62，还用于在接收到指示消息后，向存储单元63发送查询关键词；
存储单元63，用于查询与查询关键词相匹配的车型信息；
存储单元63，还用于将该车型信息推送给查询单元62。
在一个可行的实施方案中，图8为本申请提供的另一种车辆信息查询系统的结构示意图，如图8所示，系统还包括存储单元63；
缓存单元61，还用于当缓存单元61未查询到与查询关键词相匹配的车型信 息时，将查询关键词发送给存储单元63；
存储单元63，用于查询与查询关键词相匹配的车型信息；
存储单元63，还用于将该车型信息推送给查询单元62。
在一个可行的实施方案中，存储单元63，还用于：
在存储单元63查询与查询关键词相匹配的车型信息后，将该车型信息推送给缓存单元61；
缓存单元61，还用于对该车型信息进行存储。
在一个可行的实施方案中，
缓存单元61，还用于统计查询次数超过指定阈值的查询关键词；
缓存单元61，还用于对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
关于上述实施例中的系统的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
需要注意的是，上述的缓存单元61可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘等。
需要再次注意的是，上述的查询单元62包括但不限于个人计算机(Personal Computer，PC)、个人数字助理(Personal Digital Assistant，PDA)、无线手持设备、平板电脑(Tablet Computer)、手机等。
需要再次注意的是，上述的存储单元63可以为固态硬盘、机械硬盘、混合硬盘等能够永久性地密封固定在硬盘驱动器中。
在本申请实施例中，查询客户端在获得查询关键词后，将该查询关键词发送给缓存，由于缓存具有存储功能，可以预先在缓存中存储一些车型信息，缓存在接收到查询关键词后，直接从自身存储的车型信息中查询与该查询关键词 相匹配的车型信息，然后将查询到的车型信息推送给查询客户端，以便于查询客户端进行显示，在本申请实施例中，由于坐席人员在查询车型信息时，查询客户端会将查询关键词发送给缓存，由缓存从自身存储的车型信息中进行查询，由于无需从数据库中进行查询，从而有利于降低数据库的处理压力，有利于降低数据库崩溃的概率，同时，由于缓存具有查询速度快的优点，因此，在通过缓存查询车型信息时，有利于提高查询速度。
本申请实施例还提供了一种计算机设备，该计算机设备包括存储器和处理器，存储器用于存储包括程序指令的信息，处理器用于控制程序指令的执行，计算机设备应用在包括缓存和坐席人员使用的查询客户端的系统中，程序指令被处理器加载并执行时实现以下步骤：查询客户端向缓存发送查询关键词；缓存查询与查询关键词相匹配的车型信息；缓存将车型信息推送给查询客户端。
可选地，系统还包括数据库，程序指令被处理器加载并执行时还实现以下步骤：当缓存未查询到与查询关键词相匹配的车型信息时，缓存向查询客户端发送用于指示查询失败的指示消息；查询客户端在接收到指示消息后，向数据库发送查询关键词；数据库查询与查询关键词相匹配的车型信息；数据库将车型信息推送给查询客户端。
可选地，系统还包括数据库，程序指令被处理器加载并执行时还实现以下步骤：当缓存未查询到与查询关键词相匹配的车型信息时，缓存将查询关键词发送给数据库；数据库查询与查询关键词相匹配的车型信息；数据库将车型信息推送给查询客户端。
可选地，在数据库查询与查询关键词相匹配的车型信息后，程序指令被处理器加载并执行时还实现以下步骤：数据库将车型信息推送给缓存；缓存对车型信息进行存储。
可选地，程序指令被处理器加载并执行时还实现以下步骤：缓存统计查询次数超过指定阈值的查询关键词；缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
本申请实施例还提供了一种计算机非易失性可读存储介质，计算机非易失性可读存储介质包括存储的程序，计算机非易失性可读存储介质应用在包括缓存和坐席人员使用的查询客户端的系统中，其中，在程序运行时控制计算机非易失性可读存储介质所在设备执行以下步骤：查询客户端向缓存发送查询关键词；缓存查询与查询关键词相匹配的车型信息；缓存将车型信息推送给查询客户端。
可选地，系统还包括数据库，在程序运行时控制计算机非易失性可读存储介质所在设备还执行以下步骤：当缓存未查询到与查询关键词相匹配的车型信息时，缓存向查询客户端发送用于指示查询失败的指示消息；查询客户端在接收到指示消息后，向数据库发送查询关键词；数据库查询与查询关键词相匹配的车型信息；数据库将车型信息推送给查询客户端。
可选地，系统还包括数据库，在程序运行时控制计算机非易失性可读存储介质所在设备还执行以下步骤：当缓存未查询到与查询关键词相匹配的车型信息时，缓存将查询关键词发送给数据库；数据库查询与查询关键词相匹配的车型信息；数据库将车型信息推送给查询客户端。
可选地，在数据库查询与查询关键词相匹配的车型信息后，在程序运行时控制计算机非易失性可读存储介质所在设备还执行以下步骤：数据库将车型信息推送给缓存；缓存对车型信息进行存储。
可选地，在程序运行时控制计算机非易失性可读存储介质所在设备还执行以下步骤：缓存统计查询次数超过指定阈值的查询关键词；缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
本领域技术人员在考虑说明书及实践这里公开的公开后，将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (20)

  1. 一种车辆信息查询方法，其特征在于，所述方法应用在包括缓存和坐席人员使用的查询客户端的系统中，所述方法包括：
    所述查询客户端向所述缓存发送查询关键词；
    所述缓存查询与所述查询关键词相匹配的车型信息；
    所述缓存将所述车型信息推送给所述查询客户端。
  2. 如权利要求1所述的方法，其特征在于，所述系统还包括数据库，所述方法还包括：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存向所述查询客户端发送用于指示查询失败的指示消息；
    所述查询客户端在接收到所述指示消息后，向所述数据库发送所述查询关键词；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  3. 如权利要求1所述的方法，其特征在于，所述系统还包括数据库，所述方法还包括：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存将所述查询关键词发送给所述数据库；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  4. 如权利要求2或3所述的方法，其特征在于，在所述数据库查询与所述查询关键词相匹配的车型信息后，所述方法还包括：
    所述数据库将所述车型信息推送给所述缓存；
    所述缓存对所述车型信息进行存储。
  5. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    所述缓存统计查询次数超过指定阈值的查询关键词；
    所述缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
  6. 一种车辆信息查询系统，其特征在于，所述系统包括缓存单元和坐席人员使用的查询单元；
    所述查询单元，用于向所述缓存单元存发送查询关键词；
    所述缓存单元，用于查询与所述查询关键词相匹配的车型信息；
    所述缓存单元，还用于将所述车型信息推送给所述查询单元。
  7. 如权利要求6所述的系统，其特征在于，所述系统还包括存储单元；
    所述缓存单元，还用于当所述缓存单元未查询到与所述查询关键词相匹配的车型信息时，向所述查询单元发送用于指示查询失败的指示消息；
    所述查询单元，还用于在接收到所述指示消息后，向所述存储单元发送所述查询关键词；
    所述存储单元，用于查询与所述查询关键词相匹配的车型信息；
    所述存储单元，还用于将该车型信息推送给所述查询单元。
  8. 如权利要求6所述的系统，其特征在于，所述系统还包括存储单元；
    所述缓存单元，还用于当所述缓存单元未查询到与所述查询关键词相匹配的车型信息时，将所述查询关键词发送给所述存储单元；
    所述存储单元，用于查询与所述查询关键词相匹配的车型信息；
    所述存储单元，还用于将该车型信息推送给所述查询单元。
  9. 如权利要求7或8所述的系统，其特征在于，所述存储单元，还用于：
    在所述存储单元查询与所述查询关键词相匹配的车型信息后，将该车型信息推送给所述缓存单元；
    所述缓存单元，还用于对该车型信息进行存储。
  10. 如权利要求6所述的系统，其特征在于，
    所述缓存单元，还用于统计查询次数超过指定阈值的查询关键词；
    所述缓存单元，还用于对查询次数超过指定阈值的查询关键词对应的车型 信息进行存储。
  11. 一种计算机设备，包括存储器和处理器，所述存储器用于存储包括程序指令的信息，所述处理器用于控制所述程序指令的执行，其特征在于，所述计算机设备应用在包括缓存和坐席人员使用的查询客户端的系统中，所述程序指令被所述处理器加载并执行时实现以下步骤：
    所述查询客户端向所述缓存发送查询关键词；
    所述缓存查询与所述查询关键词相匹配的车型信息；
    所述缓存将所述车型信息推送给所述查询客户端。
  12. 根据权利要求11所述的计算机设备，其特征在于，所述系统还包括数据库，所述程序指令被所述处理器加载并执行时还实现以下步骤：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存向所述查询客户端发送用于指示查询失败的指示消息；
    所述查询客户端在接收到所述指示消息后，向所述数据库发送所述查询关键词；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  13. 根据权利要求11所述的计算机设备，其特征在于，所述系统还包括数据库，所述程序指令被所述处理器加载并执行时还实现以下步骤：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存将所述查询关键词发送给所述数据库；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  14. 根据权利要求12或13所述的计算机设备，其特征在于，在所述数据库查询与所述查询关键词相匹配的车型信息后，所述程序指令被所述处理器加载并执行时还实现以下步骤：
    所述数据库将所述车型信息推送给所述缓存；
    所述缓存对所述车型信息进行存储。
  15. 根据权利要求11所述的计算机设备，其特征在于，所述程序指令被所述处理器加载并执行时还实现以下步骤：
    所述缓存统计查询次数超过指定阈值的查询关键词；
    所述缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
  16. 一种计算机非易失性可读存储介质，其特征在于，所述计算机非易失性可读存储介质包括存储的程序，所述计算机非易失性可读存储介质应用在包括缓存和坐席人员使用的查询客户端的系统中，其中，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备执行以下步骤：
    所述查询客户端向所述缓存发送查询关键词；
    所述缓存查询与所述查询关键词相匹配的车型信息；
    所述缓存将所述车型信息推送给所述查询客户端。
  17. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述系统还包括数据库，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备还执行以下步骤：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存向所述查询客户端发送用于指示查询失败的指示消息；
    所述查询客户端在接收到所述指示消息后，向所述数据库发送所述查询关键词；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  18. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，所述系统还包括数据库，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备还执行以下步骤：
    当所述缓存未查询到与所述查询关键词相匹配的车型信息时，所述缓存将所述查询关键词发送给所述数据库；
    所述数据库查询与所述查询关键词相匹配的车型信息；
    所述数据库将所述车型信息推送给所述查询客户端。
  19. 根据权利要求17或18所述的计算机非易失性可读存储介质，其特征在于，在所述数据库查询与所述查询关键词相匹配的车型信息后，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备还执行以下步骤：
    所述数据库将所述车型信息推送给所述缓存；
    所述缓存对所述车型信息进行存储。
  20. 根据权利要求16所述的计算机非易失性可读存储介质，其特征在于，在所述程序运行时控制所述计算机非易失性可读存储介质所在设备还执行以下步骤：
    所述缓存统计查询次数超过指定阈值的查询关键词；
    所述缓存对查询次数超过指定阈值的查询关键词对应的车型信息进行存储。
PCT/CN2018/110586 2018-07-31 2018-10-17 一种车辆信息查询方法和系统 WO2020024434A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810858027.2 2018-07-31
CN201810858027.2A CN109241253A (zh) 2018-07-31 2018-07-31 一种车辆信息查询方法和系统

Publications (1)

Publication Number Publication Date
WO2020024434A1 true WO2020024434A1 (zh) 2020-02-06

Family

ID=65073329

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/110586 WO2020024434A1 (zh) 2018-07-31 2018-10-17 一种车辆信息查询方法和系统

Country Status (2)

Country Link
CN (1) CN109241253A (zh)
WO (1) WO2020024434A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111861607A (zh) * 2019-04-29 2020-10-30 天津五八到家科技有限公司 数据关联方法、装置、设备和存储介质
CN111597199A (zh) * 2020-05-18 2020-08-28 泰康保险集团股份有限公司 车型查询方法、装置、设备及计算机可读存储介质

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127587A (zh) * 2016-06-24 2016-11-16 焦文华 自助保险方法及适用于该方法的保险自助柜员机

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101765096A (zh) * 2008-12-26 2010-06-30 中兴通讯股份有限公司 定购关系查询方法、装置和系统
CN105354193A (zh) * 2014-08-19 2016-02-24 阿里巴巴集团控股有限公司 数据库数据缓存方法、查询方法及缓存装置、查询装置
CN105488208B (zh) * 2015-12-11 2019-03-08 北京奇虎科技有限公司 数据查找方法与装置
CN106296414A (zh) * 2016-08-17 2017-01-04 深圳市永兴元科技有限公司 车险投保方法及系统

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127587A (zh) * 2016-06-24 2016-11-16 焦文华 自助保险方法及适用于该方法的保险自助柜员机

Also Published As

Publication number Publication date
CN109241253A (zh) 2019-01-18

Similar Documents

Publication Publication Date Title
TWI663518B (zh) Search cache update method and device
WO2020024434A1 (zh) 一种车辆信息查询方法和系统
US20090204570A1 (en) Method and apparatus for performing multi-stage table updates
CN102867070A (zh) 更新key-value分布式存储系统缓存的方法
JP2005057701A5 (zh)
WO2020108544A1 (zh) 同步缓存数据的方法、装置和系统
WO2019100853A1 (zh) 分页查询方法及装置和电子设备
US9531827B1 (en) Push notification delivery system with feedback analysis
US11347646B2 (en) Method, device and computer program product for managing cache based on matching API
CN116226200A (zh) 一种基于bff架构的服务接口数据缓存方法、装置及设备
US20130332417A1 (en) Hybrid Client-Server Data Proxy Controller For Software Application Interactions With Data Storage Areas And Method Of Using Same
WO2019019382A1 (zh) 缓存处理方法、装置、计算机设备和存储介质
US20040210761A1 (en) Method and apparatus to update a cache for security records
JP7341330B2 (ja) 日付切替データオフロード方法、装置、設備及び媒体
KR101993435B1 (ko) 키드 데이터베이스를 사용하여 유지되는 키드 데이터의 탐색 및 검색
CN108874876A (zh) 一种消息推送方法、计算机可读存储介质及终端设备
KR20190129474A (ko) 데이터 검색 장치 및 방법
US8650209B1 (en) System, method, and computer program for determining most of the non duplicate records in high performance environments in an economical and fault-tolerant manner
US20200210087A1 (en) Method and system for a configurable storage engine
US20190108139A1 (en) Client-side persistent caching framework
US11741103B1 (en) Database management systems using query-compliant hashing techniques
US20230289349A1 (en) Database management systems using query-compliant hashing techniques
WO2018121558A1 (zh) 信息处理
US20220309413A1 (en) Method and apparatus for automated workflow guidance to an agent in a call center environment
CN101872356B (zh) 一种内存数据库处理性能的方法与系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18928735

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18928735

Country of ref document: EP

Kind code of ref document: A1