CN111612374A - Article loss prevention method and system, electronic device and computer readable storage medium - Google Patents
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Abstract
The invention relates to the technical field of information, and discloses an article loss prevention method and system, electronic equipment and a computer readable storage medium. In the invention, the article loss prevention method comprises the following steps: setting a first judgment condition, a second judgment condition, a third judgment condition, a judgment mechanism and an automatic scoring mechanism; acquiring first information data, and comparing the first information data with a first judgment condition; acquiring second information data in the executed process of the network car booking order, and comparing the second information data with a second judgment condition; and acquiring third information data, comparing the third information data with a third judgment condition, judging the completion degree of the agreement terms, and grading the network car booking driver. Compared with the prior art, the article loss prevention method and system, the electronic device and the computer readable storage medium provided by the embodiment of the invention have the advantage of effectively reducing the loss of passenger articles.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a method and a system for preventing loss of an article, an electronic device, and a computer-readable storage medium.
Background
The network taxi appointment is a very convenient travel mode under the assistance of the mobile internet, is rapidly developed in recent years, and shows various business modes such as express trains, special trains, windward trains and the like.
However, the inventor of the present invention found that when passengers take the net car reservation, they usually put articles such as luggage carried with them on the net car reservation, and when passengers get off the car, the articles such as luggage are easy to be left on the net car reservation, so that the normal operation of the driver of the net car reservation is seriously affected by the returning process and property disputes.
Disclosure of Invention
An object of embodiments of the present invention is to provide an article loss prevention method and system, an electronic device, and a computer-readable storage medium, which can effectively reduce the loss of passenger articles.
In order to solve the above technical problem, an embodiment of the present invention provides an article loss prevention method, which is applied to a network appointment platform, and includes: setting a first judgment condition, a second judgment condition and a third judgment condition; setting a decision mechanism, the decision mechanism comprising: determining the start of a protocol and determining the termination of the protocol; setting an automatic scoring mechanism for a third judgment condition; generating a vehicle booking order; acquiring first information data, comparing the first information data with the first judgment condition, judging whether the protocol is started, acquiring second information data in the executed process of the network car booking order if the protocol is started, comparing the second information data with the second judgment condition, judging whether the protocol is terminated, and storing the information data in the executed process of the network car booking order if the protocol is terminated; and acquiring third information data, comparing the third information data with the third judgment condition, and grading the network car booking driver through the automatic grading mechanism.
An embodiment of the present invention also provides an article loss prevention system, including: the client comprises a passenger mobile phone, a driver mobile phone and a vehicle-mounted device, feeds back whether to agree with an information data acquisition request, and is used for acquiring first information data, second information data and third information data; forming a taxi appointment order; the server is used for setting a first judgment condition, a second judgment condition and a third judgment condition; setting a decision mechanism, the decision mechanism comprising: determining the start of a protocol and determining the termination of the protocol; setting an automatic scoring mechanism for a third judgment condition; comparing the collected first information data with the first judgment condition, judging whether the protocol is started or not, if so, collecting second information data in the executed process of the network appointment order, comparing the second information data with the second judgment condition, judging whether the protocol is terminated or not, and if so, storing the information data in the executed process of the network appointment order; and acquiring third information data, comparing the third information data with the third judgment condition, and grading the network car booking driver through the automatic grading mechanism.
An embodiment of the present invention also provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of item loss prevention as previously described.
Embodiments of the present invention also provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the article loss prevention method.
Compared with the prior art, the method and the device have the advantages that a judgment mechanism, a first judgment condition and a second judgment condition are set, the start of a protocol and the end of the protocol are judged by collecting first information data and second information data, a network car booking order is generated and information data in the executed process of the network car booking order are stored, so that the information data in the executed process of the network car booking order are collected and recorded; in addition, an automatic scoring mechanism and a third judgment condition are set, third information data are collected, the third information data are compared with the third judgment condition, and a vehicle booking driver is scored through the automatic scoring mechanism. The automatic scoring mechanism scores the behaviors of the online car booking drivers in the execution process of each online car booking order, so that the normalized requirements on the behaviors of the online car booking drivers are effectively met, the awareness that the online car booking drivers take actions for preventing passenger articles from being lost is improved, and the possibility that the passenger articles are lost on the online car booking is effectively reduced.
In addition, before the start of the determination protocol, the method further includes: sending an information data acquisition request to a passenger terminal of the network taxi appointment order; and if the passenger agrees to the information data acquisition request, executing a protocol. Because the privacy of the passenger may be violated in the process of collecting the first information data, the second information data and/or the third information data, the information data collecting request is sent to the passenger terminal before the start of the judgment protocol, and the passenger executes the protocol and collects the information data after agreeing with the information data collecting request, so that the privacy of the passenger can be effectively protected, and the riding experience of the passenger is improved.
In addition, the first determination condition includes: setting vehicle data, wherein the vehicle data is whether a vehicle is started or not; setting in-vehicle environment data, wherein the in-vehicle environment data are in-vehicle environment videos of the network appointment vehicle; user data.
In addition, the second determination condition includes: setting vehicle data, wherein the vehicle data is whether a vehicle is started or not; setting in-vehicle environment data, wherein the in-vehicle environment data are in-vehicle environment videos of the network appointment vehicle; user data.
In addition, the third determination condition includes: presetting a preset behavior action to be executed by a vehicle ordering driver, wherein the preset behavior action is a behavior action for preventing passengers from losing articles; setting vehicle data, wherein the vehicle data is whether a vehicle is started or not; setting in-vehicle environment data, wherein the in-vehicle environment data are in-vehicle environment videos of the network appointment vehicle; user data.
In addition, the in-vehicle environment video further includes: whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
In addition, the user data further includes: the online car booking passenger personal information data and the online car booking driver personal information data.
In addition, the first information data includes: vehicle data, wherein the vehicle data is whether the vehicle is started or not; the in-vehicle environment data are in-vehicle environment videos in the process that the online taxi appointment order is executed; user data.
In addition, the second information data includes: vehicle data, wherein the vehicle data is whether the vehicle is started or not; the in-vehicle environment data are in-vehicle environment videos in the process that the online taxi appointment order is executed; user data.
In addition, the third information data includes: presetting a preset behavior action to be executed by a vehicle ordering driver, wherein the preset behavior action is a behavior action for preventing passengers from losing articles; setting vehicle data, wherein the vehicle data is whether a vehicle is started or not; setting in-vehicle environment data, wherein the in-vehicle environment data are in-vehicle environment videos of the network appointment vehicle; user data.
In addition, the in-vehicle environment video further includes: whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
In addition, the user data further includes: and the client collects the personal information data of the online car booking passenger and the personal information data of the online car booking driver.
In addition, before the protocol is started, the method further comprises the following steps: establishing a credit record corresponding to the online taxi appointment driver; the protocol further comprises: judging whether the taxi booking driver violates rules or not; and after the online taxi appointment driver is judged to be illegal, adding the illegal behavior into the credit record.
In addition, the protocol further comprises: judging whether the taxi booking driver violates rules or not; and after the online taxi appointment driver is judged to be illegal, adding the illegal behavior into the credit record.
In addition, after determining that the online car booking driver violates the rule, the method further includes: and storing the third information data in association with personal information of the taxi appointment driver.
Drawings
Fig. 1 is a flowchart of an article loss prevention method according to a first embodiment of the present invention;
fig. 2 is a flowchart of an article loss prevention method according to a second embodiment of the present invention;
fig. 3 is a flowchart of an article loss prevention method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an article loss prevention system according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural view of an article loss prevention device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
The first embodiment of the invention relates to an article loss prevention method which is applied to a network appointment platform. The specific process is shown in fig. 1, and comprises the following steps:
step S101: a first determination condition is set, a second determination condition is set, and a third determination condition is set.
Specifically, in the present embodiment, the first determination condition includes vehicle data, and the vehicle data is whether or not the vehicle is started, that is, the vehicle data at the time of starting the vehicle is set as the determination condition. In addition, the first determination condition further includes in-vehicle environment data and user data, and the in-vehicle environment data is in-vehicle environment video of the network appointment. Wherein, the in-vehicle environmental data includes: whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
The second determination condition includes vehicle data, which is whether the vehicle is started, that is, vehicle data at the time of setting the vehicle start. In addition, the second determination condition further includes in-vehicle environment data and user data, the in-vehicle environment data being in-vehicle environment video of the network appointment. Wherein, the in-vehicle environmental data includes: whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
The third determination condition includes a predetermined behavior action to be executed by the car booking driver, where the predetermined behavior action is a behavior action for preventing the passenger from losing goods, for example: the predetermined action is to open the trunk of the vehicle after the passenger arrives at the destination, that is, if the passenger places luggage in the trunk, the action of opening the trunk of the vehicle can ensure that the passenger can take out his or her luggage from the trunk to a great extent without leaving the luggage in the trunk. It should be understood that the predetermined behavior is only a specific example of the present embodiment as opening the trunk of the vehicle after reaching the destination, and is not limited thereto, and in other embodiments of the present invention, the predetermined behavior may include other manners such as orally reminding the passenger to get off the vehicle with the personal item after reaching the destination, which are not listed here, and may be flexibly set according to actual needs. Further, the third determination condition further includes vehicle data, in-vehicle environment data, and user data.
Wherein the user data comprises the personal information data of the online car booking passenger and the personal information data of the online car booking driver.
The network taxi booking order is an order system carried by general network taxi booking software.
Step S102: setting judgment mechanism and automatic scoring mechanism
Step S103: first information data is collected, the first information data is compared with a first judgment condition, and a judgment mechanism judges that a protocol is started.
Specifically, in the present embodiment, the first information data includes current vehicle data. In addition, the first information data further comprises vehicle environment data and user data in the process of executing the network car booking order, and the vehicle environment data in the process of executing the network car booking order is vehicle environment video in the process of executing the network car booking order. After the first information data is collected, the first information data is compared with a prestored first judgment condition to judge whether the protocol is started, and if the protocol is started, the step S104 is executed. For example, the determination mechanism compares the first information data with the first determination condition, and if the comparison result shows that it is confirmed that the passenger is in the vehicle and the trunk has luggage and the vehicle is in the activated state, performs step S104; if the comparison result is lack of one of the conditions for confirming that the passenger is in the vehicle or the trunk has luggage or the vehicle is in the starting state, the step S104 is not executed for the moment.
Step S104: and acquiring second information data in the executed process of the network car booking order, comparing the second information data with a second judgment condition, and judging that the protocol is terminated by a judgment mechanism.
The second information data includes current vehicle data. In addition, the second information data also comprises vehicle environment data and user data in the process of executing the network car booking order, and the vehicle environment data in the process of executing the network car booking order is vehicle environment video in the process of executing the network car booking order. After the second information data is collected, the second information data is compared with a second judgment condition which is prestored, and whether the protocol is terminated is judged, for example, the judgment mechanism compares the second information data with the second judgment condition, and if the comparison result shows that the passenger is not in the vehicle, the trunk has no luggage, and the vehicle is in a starting state, the protocol is terminated.
Step S105: third information data in the executed process of the network car booking order is collected, and a network car booking driver is graded according to the third information data and an automatic grading mechanism.
Specifically, when the agreement is ended and the network car booking order is ended, third information data in the process that the network car booking order is executed is stored, the third information data is compared with a third judgment condition, the completion degree of the agreement terms is judged, and a network car booking driver is graded through an automatic grading mechanism. The third information data comprises a preset behavior action which is required to be executed by the online car booking driver, and the preset behavior action is a behavior action for preventing passengers from losing articles; vehicle data, in-vehicle environmental data, and user data. The in-vehicle environment data is in-vehicle environment videos of the online appointment vehicle, wherein the in-vehicle environment videos comprise whether passengers place articles in the vehicle and/or whether the passengers are in the vehicle and/or whether a driver executes a preset behavior action and/or whether a trunk is opened; user data, comprising: and the client collects the personal information data of the online car booking passenger and the personal information data of the online car booking driver. And after the third information data is acquired, comparing the third information data with the third judgment condition, judging the completion degree of the agreement terms, and grading the network car booking driver according to the completion degree of the agreement terms. Preferably, in this embodiment, the determining of the completion degree of the agreement provision is performed after the agreement is terminated and the order of the online taxi appointment is terminated, and the determining of the completion degree of the agreement provision includes: whether the passenger is in the vehicle, the trunk luggage state, the vehicle starting and stopping state and whether the driver has the action of getting off the vehicle. Scoring the protocol completion degree, for example, the starting and stopping states of the vehicle are 1 if the vehicle is started and 0 if the vehicle is not started; whether the passenger is in the vehicle or not is 1 if the passenger is not in the vehicle, and is 0 if the passenger is not in the vehicle; the luggage state of the passengers in the trunk is 1 if the trunk has no luggage and 0 if the trunk has luggage; and (3) enabling the driver to get off, wherein the driver is 1 if the driver executes the getting off action, and the driver is 0 if the driver does not execute the getting off action. When the network car booking driver is graded, the network car booking driver can be graded according to the sum of the judged values.
For example, if the vehicle is in a starting state, the completion degree is determined to be 1, and if the passenger is not in the vehicle, the completion degree is determined to be 1, and if the trunk has no luggage, the completion degree is determined to be 1, and if the driver has an action of getting off the vehicle, the completion degree is determined to be 1, the agreement term completion degree is 1+1+1+ 4, and the network-bound driver is scored to be 4;
for example, if the vehicle is in a starting state, the completion degree is determined to be 1, and if the passenger is not in the vehicle, the completion degree is determined to be 1, and if the trunk has luggage, the completion degree is determined to be 0, and if the driver has an action of getting off the vehicle, the completion degree is determined to be 1, the agreement term completion degree is 1+1+0+1 — 3, and the network-bound driver is scored to be 3;
for example, if the vehicle is in a starting state, the completion degree is determined to be 1, and if the passenger is not in the vehicle, the completion degree is determined to be 1, and if the trunk has no luggage, the completion degree is determined to be 1, and if the driver has no action of getting off the vehicle, the completion degree is determined to be 0, the agreement term completion degree is 1+1+1+0 — 3, and the network-bound driver is scored to be 3;
for example, if the vehicle is in a start state, the completion degree is determined to be 1, and if the passenger is not in the vehicle, the completion degree is determined to be 1, and if the trunk has luggage, the completion degree is determined to be 0, and if the driver does not get off the vehicle, the completion degree is determined to be 0, the agreement term completion degree is 1+1+0+0 — 2, and the network-bound vehicle driver is scored to be 2;
compared with the prior art, in the article loss prevention method provided by the first embodiment of the invention, the determination mechanism, the first determination condition and the second determination condition are set, the start of the agreement and the end of the agreement are determined by collecting the first information data and the second information data, the third information data in the executed process of the network car booking order is collected, when the agreement is ended and the network car booking order is ended, the third information data in the executed process of the network car booking order is stored, in addition, the automatic scoring mechanism and the third determination condition are set, the third information data and the third determination condition are compared, the completion degree of the terms of the agreement is determined, and the network car booking driver is scored through the automatic scoring mechanism. The automatic scoring mechanism scores the completion degree of each agreement, so that the behavior of the net car booking driver is effectively subjected to standardized requirements, the awareness that the net car booking driver makes the action of preventing the passenger goods from being lost is improved, and the possibility that the passenger goods are lost on the net car booking is effectively reduced. A second embodiment of the invention relates to a method of preventing loss of an article. The second embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: in the second embodiment of the present invention, before determining the start of the protocol, the method further includes: and sending an information data acquisition request to a passenger terminal of the online taxi appointment order. The specific steps are shown in fig. 2, and include:
step S201: a first determination condition is set, a second determination condition is set, and a third determination condition is set.
Step S202: setting a judgment mechanism and an automatic scoring mechanism.
Step S203: and sending a first information data, a second information data and a third information data acquisition request to a passenger terminal generating a network appointment order, and executing the step S204 if an agreement signal fed back by the passenger terminal is received.
Step S204: first information data is collected, the first information data is compared with a first judgment condition, and a judgment mechanism judges that a protocol is started.
Step S205: and acquiring second information data in the executed process of the network car booking order, comparing the second information data with a second judgment condition, and judging that the protocol is terminated by a judgment mechanism.
Step S206: and acquiring third information data in the executed network car booking order, storing the third information data in the executed network car booking order when the agreement is ended and the network car booking order is ended, comparing the third information data with a third judgment condition, judging the completion degree of the agreement term, and grading a network car booking driver through an automatic grading mechanism.
It should be noted that steps S201 to S202, step S204, and step S206 in the second embodiment of the present invention are substantially the same as steps S101 to S105 in the first embodiment, and specific description of the first embodiment may be specifically referred to, and are not repeated herein.
Compared with the prior art, the article loss prevention method provided by the second embodiment of the invention maintains all technical effects of the first embodiment, and simultaneously, because the privacy of passengers may be invaded in the data acquisition process, an information data acquisition request is sent to a passenger terminal before information data is acquired, and the information data is acquired only after the passenger agrees the information data acquisition request, so that the privacy of the passengers can be effectively protected, and the passenger riding experience is improved.
A third embodiment of the present invention relates to an article loss prevention method. The third embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: in a second embodiment of the present invention, the method further comprises the step of creating a credit record corresponding to the online car booking driver before the start of the protocol is determined. The specific steps are shown in fig. 3, and include:
step S301: and establishing a credit record corresponding to the online taxi appointment driver.
Specifically, in this step, a credit record corresponding to the online car booking driver is first created, and the credit record records violation records and non-violation records of the online car booking driver. That is, the credit record records whether the online car booking driver violates the rule every time the online car booking driver completes the online car booking order. Step S302: a first determination condition is set, a second determination condition is set, and a third determination condition is set.
Step S303: setting a judgment mechanism and an automatic scoring mechanism.
Step S304: first information data is collected, the first information data is compared with a first judgment condition, and a judgment mechanism judges that a protocol is started.
Step S305: and acquiring second information data in the executed process of the network car booking order, comparing the second information data with a second judgment condition, and judging that the protocol is terminated by a judgment mechanism.
Step S306: and acquiring third information data in the executed network car booking order, storing the third information data in the executed network car booking order when the agreement is ended and the network car booking order is ended, comparing the third information data with a third judgment condition, judging the completion degree of the agreement term, and grading a network car booking driver through an automatic grading mechanism.
It should be noted that steps S302 to S306 in this embodiment are substantially the same as steps S101 to S105 in the first embodiment, and are not repeated herein, and specific reference may be made to the detailed description in the first embodiment.
Compared with the prior art, the credit record corresponding to the net car booking driver is established in the third embodiment of the invention, and whether the net car booking driver violates the rule or not each time the net car booking driver completes the order of the net car booking is recorded in the credit record, so that the net car booking platform can manage the violation operation of the net car booking driver more conveniently, and in addition, a passenger can select the net car booking driver according to the credit record, and the use experience of the passenger is further improved.
A fourth embodiment of the present invention relates to an article loss prevention system, as shown in fig. 4, including:
the client 401 comprises a mobile device of a passenger, a mobile device of a driver and an on-board device, feeds back whether to agree with an information data acquisition request, and is used for acquiring first information data, second information data and third information data;
a server 402 communicatively connected to the client 401, configured to set a first determination condition, set a second determination condition, and set a third determination condition; setting a judgment mechanism, judging the starting of a protocol, judging the termination of the protocol, judging, and checking and judging the collected first information data, second information data and third information data, if the first information data meets the set first judgment condition, starting the protocol, if the second information data meets the set second judgment condition, terminating the protocol, if the third information data meets the set third judgment condition, judging that a network appointment order violates rules, and recording the violation of the network appointment driver; storing the third information data and the personal information data of the taxi appointment driver in an associated manner; personal data of the passenger is stored.
A fifth embodiment of the present invention relates to a terminal, as shown in fig. 5, including: at least one processor 501; and a memory 502 communicatively coupled to the at least one processor 501; wherein the memory 502 stores instructions executable by the at least one processor 501, the instructions being executable by the at least one processor 501 to enable the at least one processor 501 to perform the method for preventing loss of items as described above.
The memory 502 and the processor 501 are coupled by a bus, which may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 501 and the memory 502 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 501 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 501.
The processor 501 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 502 may be used to store data used by processor 501 in performing operations.
It should be understood that this embodiment is a system example corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
A sixth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method according to the above embodiments may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (18)
1. An article loss prevention method is applied to a network appointment platform and comprises the following steps:
setting a first judgment condition, a second judgment condition and a third judgment condition;
setting a decision mechanism, the decision mechanism comprising: determining the start of a protocol and determining the termination of the protocol;
setting an automatic scoring mechanism for a third judgment condition;
acquiring first information data, comparing the first information data with the first judgment condition, judging whether the protocol is started, acquiring second information data in the executed process of the network car booking order if the protocol is started, comparing the second information data with the second judgment condition, judging whether the protocol is terminated, and storing the information data in the executed process of the network car booking order if the protocol is terminated;
and acquiring third information data, comparing the third information data with the third judgment condition, and grading the network car booking driver through the automatic grading mechanism.
2. The method for preventing the loss of the article according to claim 1, wherein before the determining the protocol is started, the method further comprises:
sending an information data acquisition request to a passenger terminal of the network taxi appointment order;
and if the agreement signal fed back by the passenger terminal is received, executing a protocol.
3. The article loss prevention method according to claim 1, wherein the first determination condition includes:
vehicle data, wherein the vehicle data is whether the vehicle is started or not;
the in-vehicle environment data is in-vehicle environment video of the network appointment vehicle;
user data.
4. The article loss prevention method according to claim 1, wherein the second determination condition includes:
vehicle data, wherein the vehicle data is whether the vehicle is started or not;
the in-vehicle environment data is in-vehicle environment video of the network appointment vehicle;
user data.
5. The article loss prevention method according to claim 1, wherein the third determination condition includes:
the method comprises the following steps that a networked car booking driver needs to execute a preset behavior action, wherein the preset behavior action is a behavior action for preventing passengers from losing articles;
vehicle data, wherein the vehicle data is whether the vehicle is started or not;
the in-vehicle environment data is in-vehicle environment video of the network appointment vehicle;
user data.
6. The method for preventing loss of an item according to any one of claims 3 to 5, wherein the in-vehicle environment video further comprises:
whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
7. The method of any of claims 3-5, wherein the user data further comprises:
the online car booking passenger personal information data and the online car booking driver personal information data.
8. The method according to claim 1, wherein the first information data comprises:
vehicle data, wherein the vehicle data is whether the vehicle is started or not;
the in-vehicle environment data are in-vehicle environment videos in the process that the online taxi appointment order is executed;
user data.
9. The method of claim 1, wherein the second information data comprises:
vehicle data, wherein the vehicle data is whether the vehicle is started or not;
the in-vehicle environment data are in-vehicle environment videos in the process that the online taxi appointment order is executed;
user data.
10. The method according to claim 1, wherein the third information data comprises:
presetting a preset behavior action to be executed by a vehicle ordering driver, wherein the preset behavior action is a behavior action for preventing passengers from losing articles;
setting vehicle data, wherein the vehicle data is whether a vehicle is started or not;
setting in-vehicle environment data, wherein the in-vehicle environment data are in-vehicle environment videos of the network appointment vehicle;
user data.
11. The method for preventing loss of an item according to any one of claims 8 to 10, wherein the in-vehicle environment video further comprises:
whether a passenger is in the vehicle and/or whether the driver performs a predetermined behavioral action and/or whether the trunk has been opened.
12. The method of any of claims 8-10, wherein the user data further comprises:
and the client collects the personal information data of the online car booking passenger and the personal information data of the online car booking driver.
13. The method of claim 1, wherein before the protocol is started, the method further comprises: establishing a credit record corresponding to the online taxi appointment driver;
the protocol further comprises: judging whether the taxi booking driver violates rules or not;
and after the online taxi appointment driver is judged to be illegal, adding the illegal behavior into the credit record.
14. The method of claim 1, wherein the protocol further comprises:
judging whether the taxi booking driver violates rules or not;
and after the online taxi appointment driver is judged to be illegal, adding the illegal behavior into the credit record.
15. The method of claim 14, wherein after determining the internet taxi appointment driver is in violation, the method further comprises:
and storing the third information data in association with personal information of the taxi appointment driver.
16. An article loss prevention system, comprising:
the client comprises a mobile device of a passenger, a mobile device of a driver and a vehicle-mounted device, feeds back whether to agree with an information data acquisition request, and is used for acquiring first information data, second information data and third information data;
the server is used for setting a first judgment condition, a second judgment condition and a third judgment condition; setting a decision mechanism, the decision mechanism comprising: determining the start of a protocol and determining the termination of the protocol; setting an automatic scoring mechanism for a third judgment condition; comparing the collected first information data with the first judgment condition, judging whether the protocol is started or not, if so, collecting second information data in the executed process of the network appointment order, comparing the second information data with the second judgment condition, judging whether the protocol is terminated or not, and if so, storing the information data in the executed process of the network appointment order; and acquiring third information data, comparing the third information data with the third judgment condition, and grading the network car booking driver through the automatic grading mechanism.
17. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of protecting an item from loss as claimed in any one of claims 1 to 15.
18. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method and system for preventing loss of an item according to any one of claims 1 to 16.
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