CN110059833B - Real-time maintenance method, device and system for shared automobile - Google Patents

Real-time maintenance method, device and system for shared automobile Download PDF

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CN110059833B
CN110059833B CN201910146216.1A CN201910146216A CN110059833B CN 110059833 B CN110059833 B CN 110059833B CN 201910146216 A CN201910146216 A CN 201910146216A CN 110059833 B CN110059833 B CN 110059833B
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王兆海
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Shandong Chuangqi Cloud Computing Co ltd
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Abstract

The application discloses a real-time maintenance method of a shared automobile, which comprises the following steps: receiving a fault maintenance request message from a terminal, wherein the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first fault data is fault data determined by an end user; acquiring second fault data of the target sharing automobile through vehicle-mounted diagnosis equipment of the target sharing automobile; determining the fault type of the target shared automobile according to the first fault data and/or the second fault data; determining a maintenance node corresponding to the target shared automobile according to one or more of the fault type, the geographical position information and the vehicle model of the target shared automobile; and sending one or more of the fault type, the geographical position information and the vehicle model of the target shared automobile to a maintenance node. The technical scheme provided by the application can improve the maintenance efficiency.

Description

Real-time maintenance method, device and system for shared automobile
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, and a system for maintaining a shared vehicle in real time.
Background
With the popularization and development of shared automobiles, the safety problem of the shared automobiles becomes the focus of more and more attention of people.
In general, a maintenance method of a shared automobile is that when a user or a serviceman finds that the shared automobile has a fault, a prompt message is sent to a server. After the maintenance personnel determine the fault reason, the shared automobile is driven to a 4S shop.
However, the above method requires the shared automobile operator to hire a large number of maintenance personnel to ensure that the shared automobile can be maintained in time, consuming a large amount of human resources, thereby reducing maintenance efficiency.
Disclosure of Invention
In order to solve the above problem, in a first aspect, the present application provides a method for real-time maintenance of a shared vehicle, including:
the method comprises the steps that a server receives a fault maintenance request message from a terminal, wherein the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first fault data is fault data determined by the end user;
the server acquires second fault data of the target shared automobile through vehicle-mounted diagnosis equipment of the target shared automobile;
the server determines the fault type of the target shared automobile according to the first fault data and/or the second fault data;
the server determines a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile;
the server sends one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile to the maintenance node.
In one example, the determining, by the server, a maintenance node corresponding to the target shared automobile according to one or more of a fault type of the target shared automobile, geographic location information of the target shared automobile, and a vehicle model of the target shared automobile includes:
the server determines a preset area identifier corresponding to the target shared automobile according to the geographical position information of the target shared automobile;
the server determines a maintenance node set in an area corresponding to the preset area identifier according to the fault type of the target shared automobile and/or the vehicle model of the target shared automobile, wherein the maintenance node set comprises: a plurality of maintenance nodes;
the server respectively determines the geographical position information of each maintenance node in the maintenance node set;
and the server determines a maintenance node closest to the target shared automobile according to the geographical position information of the target shared automobile and the geographical position information of each maintenance node in the maintenance node set.
In one example, the server determines, according to one or more of the fault type, the geographical location information of the target shared automobile, and a vehicle model of the target shared automobile, a maintenance node corresponding to the target shared automobile, including:
the server determines a preset area identifier corresponding to the target shared automobile according to the geographical position information;
the server determines a maintenance node set in an area corresponding to the preset area identification according to the fault type and/or the vehicle model, wherein the maintenance node set comprises: a plurality of maintenance nodes;
the server broadcasts maintenance orders to all maintenance nodes in the maintenance node set;
and the server receives order receiving data from one or more maintenance nodes in the maintenance node set and determines a maintenance node corresponding to the order receiving data received firstly.
In one example, the method further comprises:
the server acquires a plurality of driving route data and driving time corresponding to each driving route data from driving recording equipment on the target shared automobile;
the server correspondingly stores the first fault data and/or the second fault data, the driving route data, the driving time and the driver identity information;
and the server sends the corresponding stored data to the corresponding terminal according to the driver information and receives the user signature data from the corresponding terminal.
In one example, the method further comprises:
the server receives vehicle maintenance completion information from the maintenance node;
the server acquires state data of the target sharing automobile through vehicle-mounted diagnosis equipment on the target sharing automobile;
and the server determines a maintenance result of the target shared automobile according to the state data and the first fault data and/or the second fault data, and sends the maintenance result to the maintenance node.
In one example, after the server sends the repair result to the repair node, the method further includes:
the server receiving maintenance billing data from the maintenance node;
the server determining whether the end user completed an insurance transaction process for the target shared automobile;
after the end user has completed the insurance transaction process, the server calculates a repair cost for the target shared automobile based on the fault type, the repair billing data, and the type of insurance.
In one example, after the determining the maintenance node corresponding to the target shared automobile, the method further includes:
the server determines geographical position information of the maintenance node;
and the server determines route data from the maintenance node to the target shared automobile according to the geographical position information of the maintenance node and the geographical position information of the target shared automobile, and sends the route data to the maintenance node.
In one example, the determining, by the server, the fault type of the target shared automobile according to the first fault data and/or the second fault data includes:
the server extracts a plurality of fault feature data from the first fault data and/or the second fault data;
the server divides the fault characteristic data into a plurality of fault data sets, wherein the initial element number of each fault data set is equal to 1;
determining Euclidean distances between the fault data sets by the server pairwise;
the server merges the two fault data sets with the minimum Euclidean distance;
the server repeats the step of determining the Euclidean distance and the step of combining the sets until the Euclidean distance between any two fault data sets reaches a preset threshold value;
and the server determines the fault type corresponding to the combined at least one fault data set according to the fault feature data in each fault data set in the combined at least one fault data set.
In a second aspect, an embodiment of the present application provides a real-time maintenance apparatus for sharing a vehicle, including: the device comprises a receiving module, an acquisition module, a data processing module and a sending module;
the receiving module is used for receiving a fault maintenance request message from a terminal, wherein the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first fault data is fault data determined by the end user;
the acquisition module is used for acquiring second fault data of the target sharing automobile through vehicle-mounted diagnosis equipment of the target sharing automobile;
the data processing module is used for determining the fault type of the target shared automobile according to the first fault data received by the receiving module and/or the second fault data acquired by the acquisition module;
the data processing module is further used for determining a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile;
the sending module is used for sending one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile to the maintenance node.
In a third aspect, an embodiment of the present application provides a real-time maintenance system for shared vehicles, including: at least one terminal, at least one maintenance node of at least one shared automobile and the real-time maintenance device in the second aspect.
The real-time maintenance method for the shared automobile can bring the following beneficial effects:
1. according to the first fault data provided by the terminal user and the second fault data acquired by the vehicle-mounted diagnostic equipment, the fault type of the shared automobile can be accurately determined, so that the maintenance efficiency is improved;
2. the first fault data provided by the terminal user and the second fault data collected by the vehicle-mounted diagnosis equipment can be transmitted to the server through the network, so that the manual detection can be replaced by an online detection mode, and the maintenance efficiency is improved;
3. one or more of the fault type, the geographic position information and the vehicle model of the target shared automobile are sent to the maintenance node, so that the maintenance node can take the target shared automobile back to the corresponding 4S shop or the maintenance shop, the hiring amount of maintenance personnel of a shared automobile operator is reduced, and the maintenance efficiency is improved.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a real-time maintenance method for a shared vehicle according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a shared real-time maintenance apparatus for a vehicle according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a real-time maintenance system for shared vehicles according to an embodiment of the present application.
Detailed Description
In order to more clearly explain the overall concept of the present application, the following detailed description is given by way of example in conjunction with the accompanying drawings.
The embodiment of the application discloses a real-time maintenance method of a shared automobile, which comprises the following steps as shown in fig. 1:
step 101, a server receives a fault maintenance request message from a terminal.
In the embodiment of the application, the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to the terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first failure data is failure data determined by an end user. For example, the user sends characters such as "vehicle damaged", "vehicle not flameout", "tire abnormal", "unable to start" to the server through the mobile phone, and sends corresponding photos to the server as the first fault data. In addition, the user may send the license plate number of the target shared automobile to the server, so that the server determines the geographic location information of the target shared automobile and the vehicle model of the target shared automobile.
And step 102, the server acquires second fault data of the target shared automobile through the vehicle-mounted diagnosis equipment of the target shared automobile.
In the embodiment of the application, the vehicle-mounted diagnostic equipment can enter an electronic control unit of an engine, a gearbox, an anti-lock System and the like to read fault codes and other related data, and automatically sends information such as identity codes, fault codes and positions of vehicles to a server by using a vehicle-mounted communication System, for example, a Global Positioning System (GPS) navigation System or a wireless communication mode.
The second fault data includes, but is not limited to: the vibration signal of each bearing in the vehicle power assembly, oil consumption parameters, throttle temperature parameters, air inlet pipe pressure parameters, air inlet temperature parameters, air inlet flow and one or more of coolant temperature. The vibration signal of each bearing is used for representing the wear degree of the bearing, because the bearing surface can be damaged to different degrees due to fatigue after long-time running, such as cracks and surface falling, and the damage of the bearing surface can cause the bearing vibration.
And 103, the server determines the fault type of the target shared automobile according to the first fault data and/or the second fault data in the fault maintenance request message.
Usually, the master control device on the shared automobile can prompt a certain part of the automobile to have a fault, but cannot indicate the fault reason, and needs to be comprehensively checked by a maintenance worker, so that the real-time maintenance efficiency of the shared automobile is reduced. In order to solve the above problem, in the embodiment of the present application, the server determines the fault type of the target shared automobile according to the first fault data and/or the second fault data, so that a serviceman can determine the fault cause according to the fault type.
As shown in step 102, the data type of the first failure data may be characters or pictures, and the data type of the second failure data may be vibration signals, failure codes, signals corresponding to other sensors, and the like. Therefore, the server cannot directly perform data processing using the first failure data and/or the second failure data, and a plurality of pieces of failure feature data need to be extracted from the first failure data and/or the second failure data.
In order to determine the fault type more accurately, fault feature data of multiple dimensions needs to be acquired. However, the difficulty of data processing is greatly increased by multiple dimensions, and therefore, in the embodiment of the present application, the dimensions need to be reduced by merging fault data sets to reduce the difficulty of data processing, and the specific steps are as follows:
firstly, each fault feature data is regarded as a fault data set, and the servers determine the Euclidean distance between a plurality of fault data sets pairwise, for example, if the fault data set A, B, C exists, the servers respectively determine the Euclidean distance between A and B, the Euclidean distance between B and C and the Euclidean distance between A and C. And merging the two fault data sets with the minimum Euclidean distance.
And the server repeatedly executes the step of determining the Euclidean distance and the step of combining the sets until the Euclidean distance between any two fault data sets reaches a preset threshold value. In the above loop process, only two fault data sets are merged in each loop process, and the euclidean distance between the two merged fault data sets is the minimum, so as to ensure the uniqueness of elements in the fault data sets. For example, there are four fault feature data sets, 1, 2, 3, 4, corresponding to four fault data sets a, b, c, d, respectively, and if the euclidean distance between the set a and the set b is the minimum and does not reach a preset threshold, three sets, e, c, d, are obtained after merging, where the elements in the set e are 1, 2. At this time, if the euclidean distance between the set c and the set e is the minimum and does not reach the preset threshold, two sets f and d are obtained after combination, wherein elements in the set f are 1, 2 and 3.
By the method, the corresponding relation between each fault characteristic data and the fault type is converted into the corresponding relation between the fault data set and the fault type, so that the data processing dimensionality is reduced. And finally, the server determines the fault type corresponding to each fault data set by using the fault characteristic data in each combined fault data set. For example, a training vector of the artificial neural network is constructed using the set of fault data such that the artificial neural network determines the type of fault from the set of fault data. After training is completed, when the artificial neural network inputs vectors corresponding to the received first fault data and/or second fault data, the artificial neural network automatically determines the fault type corresponding to the target shared automobile.
And step 104, the server determines a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile in the fault maintenance request message and the vehicle model of the target shared automobile in the fault maintenance request message.
In the embodiment of the present application, if only the geographical location information of the target sharing automobile is considered, the server may select a maintenance node closest to the target sharing automobile, where the maintenance node includes, but is not limited to: individuals, businesses, and 4S stores that specialize in providing vehicle repair services. In addition, the embodiment of the application also provides two other methods for determining the maintenance node:
in the first method, the server determines a preset area identifier corresponding to the target shared automobile according to the geographical location information of the target shared automobile, where the area identifier may be set by itself, for example, A, B, C district, or an identifier corresponding to an administrative area, for example, an identifier corresponding to each province, each city, each district and county.
And the server determines a maintenance node set consisting of a plurality of maintenance nodes in the area corresponding to the preset area identification according to the fault type of the target shared automobile and/or the vehicle model of the target shared automobile. The server determines a selection range of a service node in a specific area to reduce data processing amount, thereby improving vehicle maintenance efficiency. For example, the target shared automobile model is Beijing modern, if the search area is not limited, the server can search modern 4S stores nationwide, and if the search area is limited to Beijing, the server can only search the modern 4S stores nationwide, so that the workload of the server is greatly reduced.
The server respectively determines the geographical position information of each maintenance node in the maintenance node set, and then determines the maintenance node closest to the target shared automobile according to the geographical position information of the target shared automobile and the geographical position information of each maintenance node in the maintenance node set.
In contrast to the first method, the second method requires that the server also defines the region and determines the set of repair nodes according to the type of failure of the target shared automobile and/or the vehicle model of the target shared automobile. And then the server does not appoint the maintenance node according to the distance, but selects the maintenance node in a form of order grabbing. For example, there are A, B, C three repair nodes in the set of repair nodes, the server broadcasts repair orders to A, B, C three repair nodes, and if the A repair node receives the repair order and sends the order pickup data to the server first, the server selects the A repair node.
It can be understood that the first method focuses on saving the time for sending the target shared automobile to the maintenance node, and the second method focuses on letting the maintenance node select whether to take an order or not according to the busy situation of the own service, so as to reduce the waiting time of the shared automobile in the maintenance process. In practical application, the server can select the maintenance node by using the first method or the second method according to an actual scene, so that the maintenance efficiency is improved.
And 105, the server sends one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile to a maintenance node.
In summary, the technical scheme provided by the embodiment of the application improves the maintenance efficiency from the aspects of fault diagnosis, maintenance node selection and the like.
In order to facilitate the maintenance node to quickly receive the target shared automobile, in the embodiment of the application, the server navigates the automobile taking route of the maintenance node. For example, after the server determines that the garage A is a maintenance node, the server determines the geographical position information of the garage A; determining route data from the garage A to the target shared automobile according to the geographical position information of the garage A and the geographical position information of the target shared automobile; and finally, the server sends the route data to the garage A.
Sometimes, the fault of the shared automobile is caused by a user, and in order to determine a responsible party, in the embodiment of the application, the server acquires a plurality of pieces of driving route data and driving time corresponding to each piece of driving route data from driving recording equipment on the target shared automobile, that is, acquires the driving track of the target shared automobile in each time period, and each time period can be divided by a parking time node; the server correspondingly stores the first fault data and/or the second fault data, the driving route data, the driving time and the driver identity information, namely the first fault data and/or the second fault data, the driving route data, the driving time and the driver identity information are bound to make a responsibility party clear; and the server sends the corresponding stored data to the corresponding terminal according to the driver information, receives the user signature data from the corresponding terminal, and enables the user to confirm the stored data so as to further clarify the responsible party.
In order to solve the above problem, in the embodiment of the present application, after the server receives vehicle maintenance completion information from the maintenance node, the server acquires state data of the target shared vehicle through a vehicle-mounted diagnostic device on the target shared vehicle; and the server determines a maintenance result of the target shared automobile according to the state data and the first fault data and/or the second fault data, and sends the maintenance result to the maintenance node. Therefore, the technical scheme provided by the embodiment of the application can realize the remote online detection of the maintenance result of the shared vehicle, so that the working efficiency of maintenance personnel is improved.
In the embodiment of the application, before the user uses the shared automobile, the server recommends the vehicle insurance and additional insurance, such as vehicle damage insurance and non-indemnity insurance, to the user. After the shared vehicle completes the repair, the server receives repair billing data from the repair node. At this time, the server determines whether the terminal user purchases the corresponding insurance; after determining that the user purchases the insurance transaction, the server calculates a repair fee for the target shared automobile based on the type of failure, the repair billing data, and the type of insurance.
As shown in fig. 2, an embodiment of the present application provides a real-time maintenance apparatus for a shared vehicle, including: the system comprises a receiving module 201, an acquisition module 202, a data processing module 203 and a sending module 204;
the receiving module 201 is configured to receive a fault maintenance request message from a terminal, where the fault maintenance request message includes geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile, and first fault data of the target shared automobile; wherein the first fault data is fault data determined by an end user;
the acquisition module 202 is configured to acquire second fault data of the target-sharing automobile through a vehicle-mounted diagnosis device of the target-sharing automobile;
the data processing module 203 is configured to determine a fault type of the target shared automobile according to the first fault data received by the receiving module 201 and/or the second fault data acquired by the acquiring module 202;
the data processing module 203 is further configured to determine a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographic position information of the target shared automobile, and the vehicle model of the target shared automobile;
the sending module 204 is configured to send one or more of a fault type of the target shared automobile, geographic location information of the target shared automobile, and a vehicle model of the target shared automobile to the maintenance node.
As shown in fig. 3, an embodiment of the present application provides a real-time maintenance system for a shared vehicle, including: at least one terminal 301, at least one shared car 302, at least one service node 303, and the real-time maintenance apparatus 304 according to the above embodiment.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (8)

1. A method for real-time maintenance of a shared vehicle, comprising:
the method comprises the steps that a server receives a fault maintenance request message from a terminal, wherein the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first fault data is fault data determined by the end user;
the server acquires second fault data of the target shared automobile through vehicle-mounted diagnosis equipment of the target shared automobile;
the server determines the fault type of the target shared automobile according to the first fault data and/or the second fault data, and specifically includes:
the server extracts a plurality of fault feature data from the first fault data and/or the second fault data;
the server divides the fault characteristic data into a plurality of fault data sets, wherein the initial element number of each fault data set is equal to 1;
determining Euclidean distances between the fault data sets by the server pairwise;
the server merges the two fault data sets with the minimum Euclidean distance;
the server repeats the step of determining the Euclidean distance and the step of combining the sets until the Euclidean distance between any two fault data sets reaches a preset threshold value;
the server determines a fault type corresponding to the at least one merged fault data set according to fault feature data in each fault data set in the at least one merged fault data set;
the server determines a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographical location information of the target shared automobile, and the vehicle model of the target shared automobile, and specifically includes:
the server determines a preset area identifier corresponding to the target shared automobile according to the geographical position information;
the server determines a maintenance node set in an area corresponding to the preset area identification according to the fault type and/or the vehicle model, wherein the maintenance node set comprises: a plurality of maintenance nodes;
the server broadcasts maintenance orders to all maintenance nodes in the maintenance node set;
the server receives order receiving data from one or more maintenance nodes in the maintenance node set, and determines a maintenance node corresponding to the order receiving data received firstly;
the server sends one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile to the maintenance node.
2. The method of claim 1,
the server determines a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographical location information of the target shared automobile and the vehicle model of the target shared automobile, and the method comprises the following steps:
the server determines a preset area identifier corresponding to the target shared automobile according to the geographical position information of the target shared automobile;
the server determines a maintenance node set in an area corresponding to the preset area identifier according to the fault type of the target shared automobile and/or the vehicle model of the target shared automobile, wherein the maintenance node set comprises: a plurality of maintenance nodes;
the server respectively determines the geographical position information of each maintenance node in the maintenance node set;
and the server determines a maintenance node closest to the target shared automobile according to the geographical position information of the target shared automobile and the geographical position information of each maintenance node in the maintenance node set.
3. The method of claim 1, further comprising:
the server acquires a plurality of driving route data and driving time corresponding to each driving route data from driving recording equipment on the target shared automobile;
the server correspondingly stores the first fault data and/or the second fault data, the driving route data, the driving time and the driver identity information;
and the server sends the corresponding stored data to the corresponding terminal according to the driver information and receives the user signature data from the corresponding terminal.
4. The method of claim 1, further comprising:
the server receives vehicle maintenance completion information from the maintenance node;
the server acquires state data of the target sharing automobile through vehicle-mounted diagnosis equipment on the target sharing automobile;
and the server determines a maintenance result of the target shared automobile according to the state data and the first fault data and/or the second fault data, and sends the maintenance result to the maintenance node.
5. The method of claim 4, wherein after the server sends the repair result to the repair node, the method further comprises:
the server receiving maintenance billing data from the maintenance node;
the server determining whether the end user completed an insurance transaction process for the target shared automobile;
after the end user has completed the insurance transaction process, the server calculates a repair cost for the target shared automobile based on the fault type, the repair billing data, and the type of insurance.
6. The method of claim 1, wherein after the determining the repair node corresponding to the target shared automobile, the method further comprises:
the server determines geographical position information of the maintenance node;
and the server determines route data from the maintenance node to the target shared automobile according to the geographical position information of the maintenance node and the geographical position information of the target shared automobile, and sends the route data to the maintenance node.
7. A shared vehicle real-time maintenance device, comprising: the device comprises a receiving module, an acquisition module, a data processing module and a sending module;
the receiving module is used for receiving a fault maintenance request message from a terminal, wherein the fault maintenance request message comprises geographic position information of a target shared automobile corresponding to a terminal user, a vehicle model of the target shared automobile and first fault data of the target shared automobile; wherein the first fault data is fault data determined by the end user;
the acquisition module is used for acquiring second fault data of the target sharing automobile through vehicle-mounted diagnosis equipment of the target sharing automobile;
the data processing module is configured to determine a fault type of the target shared automobile according to the first fault data received by the receiving module and/or the second fault data acquired by the acquiring module, and specifically includes:
the data processing module extracts a plurality of fault characteristic data from the first fault module and/or the second fault data according to an extraction module;
dividing the fault feature data into a plurality of fault data sets, wherein the initial element number of each fault data set is equal to 1;
determining Euclidean distances between the multiple fault data sets pairwise;
merging the two fault data sets with the minimum Euclidean distance;
repeating the step of determining the Euclidean distance and the step of combining the sets until the Euclidean distance between any two fault data sets reaches a preset threshold value;
determining a fault type corresponding to at least one merged fault data set according to fault feature data in each fault data set in the at least one merged fault data set;
the data processing module is further configured to determine a maintenance node corresponding to the target shared automobile according to one or more of the fault type of the target shared automobile, the geographic location information of the target shared automobile, and the vehicle model of the target shared automobile, and specifically includes:
the data processing module determines a preset area identifier corresponding to the target shared automobile according to the geographical position information;
according to the fault type and/or the vehicle model, determining a maintenance node set in a region corresponding to the preset region identification, wherein the maintenance node set comprises: a plurality of maintenance nodes;
broadcasting maintenance orders to each maintenance node in the maintenance node set;
receiving order receiving data from one or more maintenance nodes in the maintenance node set, and determining a maintenance node corresponding to the order receiving data received firstly;
the sending module is used for sending one or more of the fault type of the target shared automobile, the geographical position information of the target shared automobile and the vehicle model of the target shared automobile to the maintenance node.
8. A system for real-time maintenance of a shared vehicle, comprising: at least one terminal, at least one service node of at least one shared vehicle, and the real-time maintenance apparatus of claim 7.
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Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717604A (en) * 2019-09-26 2020-01-21 上海中旖能源科技有限公司 Method and device for determining maintenance point of special transport vehicle
CN110782050A (en) * 2019-10-30 2020-02-11 上海钧正网络科技有限公司 Shared vehicle operation and maintenance method and device, computer equipment and readable storage medium
CN112785868B (en) * 2019-11-01 2023-09-19 富泰华工业(深圳)有限公司 Shared vehicle parking device and fault repairing method
CN113033975A (en) * 2021-03-09 2021-06-25 山东大学 Heavy vehicle scheduling method and equipment with exhaust emission after-treatment system
CN114680507B (en) * 2022-05-26 2022-08-26 深圳壹家智能锁有限公司 User data management method, device, equipment and storage medium of shared accompanying bed
CN115984991A (en) * 2022-12-22 2023-04-18 深圳市超越科技开发有限公司 Vehicle fault maintenance prompting method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103632513A (en) * 2013-11-21 2014-03-12 深圳市卡讯尔车联网科技开发有限公司 Vehicle emergency rescue interactive method and system on basis of cloud server
CN104122865A (en) * 2014-07-17 2014-10-29 江苏大学 Agricultural machine fault analyzing and maintaining method and system
CN104200109A (en) * 2014-09-09 2014-12-10 南车株洲电力机车有限公司 Urban rail vehicle air conditioner system fault diagnosis method and device
CN207475611U (en) * 2017-09-21 2018-06-08 成都亿佰达电子科技有限公司 A kind of shared automobile management system
CN108469802A (en) * 2018-01-31 2018-08-31 武汉华威专用汽车检测有限责任公司 A kind of information of vehicles remote monitoring and diagnostics system
CN108615079A (en) * 2018-04-21 2018-10-02 西安鑫淼环保科技有限公司 A kind of automobile services operation system and its method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106600013A (en) * 2017-02-21 2017-04-26 上海量明科技发展有限公司 Maintenance implementation method, system and client of shared vehicles

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103632513A (en) * 2013-11-21 2014-03-12 深圳市卡讯尔车联网科技开发有限公司 Vehicle emergency rescue interactive method and system on basis of cloud server
CN104122865A (en) * 2014-07-17 2014-10-29 江苏大学 Agricultural machine fault analyzing and maintaining method and system
CN104200109A (en) * 2014-09-09 2014-12-10 南车株洲电力机车有限公司 Urban rail vehicle air conditioner system fault diagnosis method and device
CN207475611U (en) * 2017-09-21 2018-06-08 成都亿佰达电子科技有限公司 A kind of shared automobile management system
CN108469802A (en) * 2018-01-31 2018-08-31 武汉华威专用汽车检测有限责任公司 A kind of information of vehicles remote monitoring and diagnostics system
CN108615079A (en) * 2018-04-21 2018-10-02 西安鑫淼环保科技有限公司 A kind of automobile services operation system and its method

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