CN113438280B

CN113438280B - Vehicle starting control method and device

Info

Publication number: CN113438280B
Application number: CN202110622089.5A
Authority: CN
Inventors: 马秦宇
Original assignee: Duodian Life Chengdu Technology Co ltd
Current assignee: Duodian Life Chengdu Technology Co ltd
Priority date: 2021-06-03
Filing date: 2021-06-03
Publication date: 2023-02-17
Anticipated expiration: 2041-06-03
Also published as: CN113438280A

Abstract

The embodiment of the disclosure discloses a vehicle starting control method and device. One embodiment of the method comprises: detecting whether an operation authorization signal is received from a target terminal device; in response to detecting an operation authorization signal, acquiring an initial address data set, wherein the initial address data set comprises province data, city data, district and county data, building data and doorplate data; cleaning the initial address data set to obtain a cleaning index; generating a target address data set based on the initial address data set in response to the cleaning processing index being "1"; receiving vehicle starting information input by a user from a target terminal device; and controlling the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information. According to the embodiment, the acquired initial address data set is cleaned to generate the target address data set, and the target address data is the address data subjected to error correction processing and has better address accuracy, so that the accuracy of vehicle starting is improved, the condition of mistakenly starting the vehicle is reduced, and the waste of vehicle resources is reduced.

Description

Vehicle starting control method and device

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a vehicle starting control method and device.

Background

With the development of new retail concepts, various requirements of new retail related business scenes are promoted. The large-scale business is often faced with various problems of performing on time, improving service quality and the like in the process of new retail transformation. One of the address error correction methods is address error correction, and the user sometimes inputs an error address due to misoperation, so that the order cannot be accurately delivered. Such problems often need to be reported by a courier or store clerk to be discovered, and at the moment, the delivery vehicle is started to send out, so that the delivery vehicle cannot respond and solve the problems in time. In order to better improve user experience and provide better service for users, a set of address error correction system needs to be established to timely correct and remind users of wrong addresses, thereby improving performance efficiency and improving starting efficiency of distribution vehicles.

However, in controlling the starting of the delivery vehicle, there are often technical problems as follows:

firstly, the existing vehicle start control usually corrects the address data after the deliverer arrives at a specific position, which causes a lot of waste of vehicle resources and affects the efficiency of delivery performance.

Secondly, the efficiency of matching the delivery addresses one by one to search the addresses with errors is low, and the problems of inconsistent address data formats, different input habits of users, different names in the same place and the like exist, so that the efficiency of address correction is poor, and the level of vehicle starting control is influenced.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a vehicle start control method and apparatus to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a vehicle start control method, including: detecting whether an operation authorization signal is received from a target terminal device; in response to detecting an operation authorization signal, acquiring an initial address data set, wherein the initial address data set comprises province data, city data, district and county data, building data and doorplate data; cleaning the initial address data set to obtain a cleaning index; generating a target address data set based on the initial address data set in response to the cleaning processing index being '1'; receiving vehicle starting information input by a user from a target terminal device; and controlling the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information.

In a second aspect, some embodiments of the present disclosure provide a vehicle start control apparatus, including: the detection unit is configured to detect whether an operation authorization signal is received from the target terminal device, wherein the operation authorization signal is a signal generated by a user executing a target operation on the target control; an acquisition unit configured to acquire an initial address data set in response to detection of an operation authorization signal, wherein the initial address data set includes provincial data, city data, prefecture and county data, building data, and house number data; the processing unit is configured with an initial address data set for cleaning processing to obtain a cleaning processing index; a generation unit configured to generate a target address data set based on the initial address data set in response to the cleansing processing index being "1"; an input unit configured to receive vehicle start-up information input by a user from a target terminal device; and the control unit is configured to control the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information.

The above embodiments of the present disclosure have the following beneficial effects: according to the vehicle starting control method, the acquired initial address data set can be cleaned to generate the target address data set, the target address data are address data subjected to error correction processing, and the target address data have good address accuracy, so that the vehicle starting accuracy is improved, the condition of starting the vehicle by mistake is reduced, and the waste of vehicle resources is reduced. Specifically, the inventors found that the reason why the accuracy of the present vehicle start control is low is that: the existing vehicle starting control generally corrects the address data after a distributor arrives at a specific position, so that the waste of a large amount of vehicle distribution resources is caused, and the distribution efficiency is influenced. Based on this, first, some embodiments of the present disclosure obtain an initial set of address data. The initial address data set comprises province data, city data, district data, building data and doorplate data. The initial address data set is a four-level address and is obtained order dispatching address data to be dispatched. And secondly, cleaning the initial address data set to obtain a cleaning index. Then, in response to the cleansing processing index being "1", a target address data set is generated based on the initial address data set. And finally, controlling the corresponding vehicle to start by using the target address data set. And the target address data set is the corrected distribution address. The initial address data set is cleaned and then subjected to deviation rectification processing, so that an accurate delivery address can be automatically obtained, the condition of vehicles started by mistake is reduced, and the performance efficiency is improved.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

FIG. 1 is an architectural diagram of an exemplary system in which some embodiments of the present disclosure may be applied;

FIG. 2 is a flow chart of some embodiments of a vehicle launch control method according to the present disclosure;

FIG. 3 is an exemplary authorization prompt box;

FIG. 4 is a flow chart of some embodiments of a vehicle launch control apparatus according to the present disclosure;

figure 5 is a schematic block diagram of a terminal device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and the embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

FIG. 1 illustrates an exemplary system architecture 100 to which embodiments of the vehicle launch control method of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

A user may use

terminal devices

101, 102, 103 to interact with a server 105 over a network 104 to receive or send messages or the like. Various communication client applications, such as an information processing application, an information generation application, a data analysis application, and the like, may be installed on the

terminal devices

101, 102, 103.

The

terminal apparatuses

101, 102, and 103 may be hardware or software. When the

terminal devices

101, 102, 103 are hardware, they may be various terminal devices having a display screen, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the

terminal apparatuses

101, 102, 103 are software, they can be installed in the above-listed terminal apparatuses. It may be implemented as a plurality of software or software modules (e.g., to provide initial address data set input, etc.), or as a single software or software module. And is not particularly limited herein.

The server 105 may be a server that provides various services, such as a server that stores an initial address data set input by the

terminal apparatuses

101, 102, 103, and the like. The server may process the received initial address data set and feed back the processing result (e.g., the target address data set) to the terminal device.

It should be noted that the vehicle start control method provided by the embodiment of the present disclosure may be executed by the server 105 or by the terminal device.

It should be noted that the local area of the server 105 may also directly store the initial address data set, and the server 105 may directly extract the local initial address data set and obtain the target address data set after processing, in this case, the exemplary system architecture 100 may not include the

terminal devices

101, 102, and 103 and the network 104.

It should be noted that the

terminal apparatuses

101, 102, and 103 may also have an apparatus start control application installed therein, and in this case, the processing method may also be executed by the

terminal apparatuses

101, 102, and 103. At this point, the exemplary system architecture 100 may also not include the server 105 and the network 104.

The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules (for example, for providing vehicle start-up control services), or as a single software or software module. And is not particularly limited herein.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to fig. 2, a flow 200 of some embodiments of a vehicle launch control method according to the present disclosure is shown. The vehicle starting control method comprises the following steps:

step 201, detecting whether an operation authorization signal is received from a target terminal device.

In some embodiments, an executing subject (e.g., a server shown in fig. 1) of the device activation control method detects whether an operation authorization signal is received from the target terminal device. The operation authorization signal is a signal generated by a user executing a target operation on the target control. The target terminal device may be a terminal device logged with an account corresponding to the user. The terminal equipment can be a mobile phone or a computer. The target control may be contained in an authorization prompt box. The authorization prompt box can be displayed on the target terminal device. The target control may be a "confirm button".

In response to detecting the operation authorization signal, an initial set of address data is obtained, step 202.

In some embodiments, an executing agent of the vehicle start-up control method (e.g., a server shown in fig. 1) acquires the initial set of address data in response to detecting the operation authorization signal. The operation authorization signal may be a signal generated by a user corresponding to the initial address data set performing a target operation on a target control. The target control may be contained in an authorization prompt box. The authorization prompt box can be displayed on the target terminal equipment. The target terminal device may be a terminal device logged with an account corresponding to the user. The terminal equipment can be a mobile phone or a computer. The target operation may be a "click operation" or a "slide operation". The target control may be a "confirm button".

As an example, the authorization prompt box described above may be as shown in fig. 3. The authorization prompt box may include: a prompt information display section 301 and a control 302. The prompt information display section 301 may be configured to display prompt information. The above-mentioned hint information may be "whether the initial set of address data is allowed to be acquired or not". The control 302 may be a "confirm button" or a "cancel button".

The initial address data set comprises province data, city data, district data, building data and doorplate data. Specifically, the initial address data set represents a four-level address, and the initial data set represents an order address to be delivered. Specifically, the initial address data set may be "metropolis, martial arts, hiton international building, 2 th of world hao square".

And step 203, performing cleaning processing on the initial address data set to obtain a cleaning processing index.

In some embodiments, the execution subject performs a cleaning process on the initial address data set to obtain a cleaning process index.

Optionally, a cleaning process index is generated. Wherein the index of the cleaning process is 0. Specifically, the cleaning processing index in the initial state is 0, which indicates that cleaning is not required to be performed, and the initial address data set is a correct order address to be delivered. And filtering the initial address data set to obtain a filtering index. Specifically, in response to the house number included in the house number data in the initial address data set, the filtering processing index is determined to be 0, which indicates that the filtering processing is not required to be performed, and the initial address data set is a correct order address to be delivered. In response to the filtering process index being "1", the cleaning process index is determined to be "1". In response to the filtering processing index being "0", address directivity processing is performed on the initial address data to obtain an address directivity processing index. Specifically, the address directivity processing is a determination of an unambiguous address. Specifically, the "third kindergarten" may be an explicit address, and the "fourth hospital" may be an explicit address. In response to the address directivity processing index being "1", the cleaning processing index is determined to be "1". Specifically, in response to the address directivity processing index being "1", it indicates that the initial address data set is not an unambiguous address. In response to the address directivity processing index being "0", it means that the initial address data set is an unambiguous address and can be directly used for vehicle start.

And step 204, responding to the cleaning processing index being '1', and generating a target address data set based on the initial address data set.

In some embodiments, the execution subject generates the target address data set based on the initial address data set in response to the cleansing processing index being "1". Optionally, the first address data set and the second address data set are generated according to the initial address data set. The first address data set comprises first province data, first city data, first district data and first building data. The second set of address data includes second building data and second doorplate data. Specifically, the first address data set may be "metropolis, wuhou district, world luxury square", and the second address data set may be "world luxury square, world luxury square 2-storied building".

And inputting the first address data set and the second address data set into a predetermined classification model to obtain a classification index and a classification score. The predetermined classification model includes a predetermined feature extraction module and a text classification module. The text classification module comprises a convolution layer, an activation layer, a pooling layer and a classification layer. The predetermined feature extraction module may be a pre-trained model. The pre-trained model may be a feature table learned for words by running an auto-supervised learning method on a massive corpus basis. Specifically, the pre-training model may provide a model for migration learning of other tasks, and the model may be used as a feature extractor after being fine-tuned or fixed according to the tasks. Specifically, the pre-training model performs task fine-tuning in a pre-training library generated according to the order delivery tasks. Specifically, a historical first address data set and a historical second address data set are generated according to a historical order delivery address data set of a retail store. For each historical first address data in the historical first address data set, the historical first address data is matched with each historical first address data in the historical first address data set, and a straight-line distance value set is generated. For each straight-line distance in the set of straight-line distance values, in response to the straight-line distance value being less than 500 meters, the historical first address data corresponding to the straight-line distance is deleted from the set of historical first address data. And determining a set of historical first address data set and a set of historical second address data set as a pre-training library generated according to the order delivery task. Optionally, the first address data set and the second address data set are respectively input to a predetermined feature extraction module to obtain a first feature vector and a second feature vector. And inputting the first feature vector and the second feature vector into a fee classification module to generate a classification index and a classification score. Specifically, the classification index may characterize a degree of similarity between the first set of address data and the second set of address data. In response to the classification index being "1", the initial set of address data is determined to be the target set of address data. Specifically, in response to the classification index being "1", the first address data set and the second address data set are represented to be similar, and the input addresses are analyzed consistently from the viewpoint of province data, city data, prefecture data, and building data, and from the viewpoint of building data and house number data. The initial address data set may be a correct address of the order to be provisioned, and the initial address data set may be directly determined as the target address data set.

In response to the classification index being "0", the first address data set and the second address data set are characterized as dissimilar, and the input addresses are not analyzed consistently from the viewpoint of provincial data, city data, prefecture data, building data, and from the viewpoint of building data, house number data. In response to the classification index being "0", a sequence of candidate address data sets is generated based on a predetermined library of address sets and a second address data set. Specifically, the predetermined address set library may be a pre-trained library generated according to the order delivery task.

Optionally, for each predetermined address set in the predetermined address set library, determining a distance between the predetermined address set and the second address data set to obtain a distance set. Specifically, for each predetermined set of addresses in the library of predetermined sets of addresses, an edit distance method may be used to determine a distance of the predetermined set of addresses from the second set of address data. Edit distance is the distance between characters when modified to another character by editing a single character, including but not limited to one of: minimum number of insertions, deletions, modifications. The shorter the edit distance, the more similar the two strings are (from a character point of view alone). And sorting the distance sets from small to large to obtain a distance sequence. And determining a sequence of the predetermined address sets corresponding to the first second number of distances in the distance sequence as a preparation candidate address data set sequence.

Optionally, for each preliminary candidate address data set in the preliminary candidate address data set sequence, the preliminary candidate address data set and the second address data set are input into a predetermined classification model, and a preliminary classification index and a preliminary classification score are generated to obtain a preliminary classification index set and a preliminary classification score set. Specifically, the preliminary classification score may be a degree of confidence in the generation of the corresponding preliminary classification index. The preliminary classification score may be 0.8. And sorting the preliminary classification score sets from small to large to obtain a preliminary classification score sequence. And determining a sequence of the predetermined address sets corresponding to the first second number of the preliminary classification scores in the preliminary classification score sequence as a candidate address data set sequence. A set of a first number of candidate address data sets in the sequence of candidate address data sets is determined as a target address data set. Specifically, the first number may be 3.

In some embodiments, the execution body determines the initial address data set as the target address data set in response to the cleansing processing index being "0". Specifically, in response to the cleansing processing index being "0", the initial address data set may be an address to be delivered with accuracy, and the initial address data set is directly determined as the target address data set.

Optional contents in the step 204 are as follows: the technical method for generating the target address data set by utilizing the preprocessing and the transfer learning mode is used as an invention point of the embodiment of the disclosure, and solves the technical problems that the efficiency of searching for the address with the error by matching the delivery addresses one by one is low, the efficiency of address deviation correction is poor due to the problems of inconsistent address data formats, different input habits of users, different names in the same place and the like, and the level of vehicle starting control is influenced. ". Factors that lead to poor vehicle launch control levels tend to be as follows: the conditions that the distribution addresses are inconsistent are various, and the efficiency of searching for the matching one by one is very low. If the above-mentioned factors are solved, the effect of improving the vehicle start control level can be achieved. To achieve this, the present disclosure introduces a method of preprocessing and pre-training migration learning to generate a target address data set. Firstly, generating a first address data set and a second address data set according to an initial address data set, and correcting the initial address data set by judging the similarity degree of the first address data set and the second address data set. And secondly, inputting the first address data set and the second address data set into a predetermined classification model to obtain a classification index and a classification score. The predetermined classification model is a pre-training model generated based on the preprocessed historical data, and may be generated by generating a classification index of similarity categories of the first address data set and the second address data set. And finally, correcting the initial address data set according to the classification indexes to obtain a target address data set. The method can realize address error correction by using preprocessing and pre-training modes if a plurality of merchants without mass data accumulation use less data, thereby greatly improving the level of vehicle starting control and solving the technical problem II.

Step 205, receiving the device start information input by the user from the target terminal device.

In some embodiments, the execution subject receives device start-up information input by a user from the target terminal device. The target terminal device may be a device connected to the execution main body in communication. The target terminal equipment can be a mobile phone or a computer. Specifically, the device start information may be a voice instruction, and the device start information may also be a text instruction.

And step 206, controlling the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information.

In some embodiments, the execution subject controls the vehicle start corresponding to the vehicle start information according to the target address data set and the vehicle start information. Specifically, the vehicle is controlled to start according to the target address data set, and the target address data set is set as a target position where the vehicle runs so as to complete order distribution.

One embodiment presented in fig. 2 has the following beneficial effects: detecting whether an operation authorization signal is received from a target terminal device; in response to detecting an operation authorization signal, acquiring an initial address data set, wherein the initial address data set comprises province data, city data, district and county data, building data and doorplate data; cleaning the initial address data set to obtain a cleaning index; generating a target address data set based on the initial address data set in response to the cleaning processing index being "1"; receiving vehicle starting information input by a user from a target terminal device; and controlling the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information. According to the embodiment, the acquired initial address data set is cleaned to generate the target address data set, the target address data is the address data subjected to error correction processing, and the target address data has better address accuracy so as to improve the accuracy of vehicle starting, reduce the situation of vehicle starting by mistake and reduce the waste of vehicle resources.

With further reference to fig. 4, as an implementation of the above-described method for each of the above-described figures, the present disclosure provides some embodiments of a vehicle start-up control apparatus, which correspond to those of the method embodiments described above for fig. 2, and which may be particularly applicable to various terminal devices.

As shown in fig. 4, a vehicle start control apparatus 400 of some embodiments includes: a detection unit 401, an acquisition unit 402, a processing unit 403, a generation unit 404, an input unit 405, and a control unit 406. Wherein the detection unit 401 is configured to detect whether an operation authorization signal is received from the target terminal device. The operation authorization signal is a signal generated by a user executing a target operation on the target control. An obtaining unit 402 configured to obtain an initial address data set in response to detection of the operation authorization signal, wherein the initial address data set includes provincial data, city data, prefecture data, building data, and house number data. A processing unit 403 configured to perform a cleaning process on the initial address data set to obtain a cleaning process index. A generating unit 404 configured to generate a target address data set based on the initial address data set in response to the cleansing processing index being "1". An input unit 405 configured to receive vehicle start information input by a user from the vending apparatus. A control unit 406 configured to control the vehicle start corresponding to the vehicle start information based on the set of destination address data and the vehicle start information.

It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and are not described herein again.

Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use in implementing a terminal device of an embodiment of the present disclosure. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU) 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM503 are connected to each other through a bus 504. An Input/Output (I/O) interface 505 is also connected to bus 504.

The following components are connected to the I/O interface 505: a storage portion 506 including a hard disk and the like; and a communication section 507 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 507 performs communication processing via a network such as the internet. The driver 508 is also connected to the I/O interface 505 as necessary. A removable medium 509 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 508 as necessary so that the computer program read out therefrom is mounted into the storage section 506 as necessary.

In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 507 and/or installed from the removable medium 509. The computer program performs the above-described functions defined in the method of the present disclosure when executed by a Central Processing Unit (CPU) 501. It should be noted that the computer readable medium in the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the C language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept as defined above. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Claims

1. A vehicle start control method comprising:

detecting whether an operation authorization signal is received from a target terminal device, wherein the operation authorization signal is a signal generated by a user executing a target operation on a target control;

in response to detecting an operation authorization signal, acquiring an initial address data set, wherein the initial address data set comprises province data, city data, district and county data, building data and doorplate data;

cleaning the initial address data set to obtain a cleaning index;

in response to the cleaning processing index being "1", generating a target address data set based on the initial address data set;

receiving vehicle starting information input by a user from a target terminal device;

controlling the vehicle corresponding to the vehicle starting information to start according to the target address data set and the vehicle starting information;

wherein generating a target address data set based on the initial address data set comprises:

generating a first address data set and a second address data set according to the initial address data set, wherein the first address data set comprises first province data, first city data, first district data and first building data, and the second address data set comprises second building data and second doorplate data;

inputting the first address data set and the second address data set into a predetermined classification model to obtain a classification index and a classification score, wherein the predetermined classification model is a pre-training model generated based on preprocessed historical data, the predetermined classification model performs task fine adjustment in a pre-training library generated according to an order distribution task, and the pre-training library is obtained through the following steps: generating a historical first address data set and a historical second address data set according to a historical order distribution address data set of a retail store, for each historical first address data in the historical first address data set, matching the historical first address data with each historical first address data in the historical first address data set, generating a straight line distance value set, for each straight line distance in the straight line distance value set, in response to the straight line distance value being less than 500 meters, deleting the historical first address data corresponding to the straight line distance from the historical first address data set, and determining the historical first address data set and the historical second address data set as a pre-training library generated according to an order distribution task;

in response to the classification indicator being "1", the initial set of address data is determined to be the target set of address data.

2. The method of claim 1, wherein the target control is displayed in an authorization prompt displayed on the target terminal device.

3. The method of claim 2, wherein the method further comprises:

in response to the flush processing indicator being "0", the initial set of address data is determined to be the target set of address data.

4. The method of claim 3, wherein the performing a flush process on the initial set of address data to obtain a flush process indicator comprises:

generating the cleaning treatment index, wherein the cleaning treatment index is 0;

filtering the initial address data to obtain a filtering index;

responding to the filtering processing index being '0', and performing address directivity processing on the initial address data to obtain an address directivity processing index;

in response to the address directivity processing index being "1", the washing processing index is determined to be "1".

5. The method of claim 4, wherein the cleansing the initial set of address data to obtain a cleansing process metric, further comprising:

in response to the filtering process index being "1", the washing process index is determined to be "1".

6. The method of claim 5, wherein generating a target address data set based on the initial address data set further comprises:

in response to the classification index being "0", generating a sequence of candidate address data sets based on a predetermined library of address sets and the second address data set;

determining a set of a first number of candidate address data sets in the sequence of candidate address data sets as the target address data set.

7. The method of claim 6, wherein the generating a sequence of candidate address data sets based on a predetermined library of address sets and the second address data set comprises:

for each predetermined address set in the predetermined address set library, determining the distance between the predetermined address set and the second address data set to obtain a distance set;

sorting the distance sets from small to large to obtain a distance sequence;

determining a sequence of predetermined address sets corresponding to a first second number of distances in the distance sequence as a preparatory candidate address data set sequence;

for each prepared candidate address data set in the prepared candidate address data set sequence, inputting the prepared candidate address data set and the second address data set into a predetermined classification model, and generating a prepared classification index and a prepared classification score to obtain a prepared classification index set and a prepared classification score set;

sorting the preliminary classification score sets from small to large to obtain a preliminary classification score sequence;

and determining a sequence of predetermined address sets corresponding to the first second number of preliminary classification scores in the sequence of preliminary classification scores as the sequence of candidate address data sets.

8. The method of claim 7, wherein the predetermined classification model comprises a predetermined feature extraction module and a text classification module, the text classification module comprising a convolutional layer, an activation layer, a pooling layer, and a classification layer, and

the inputting the first address data set and the second address data set into a predetermined classification model to obtain a classification index and a classification score includes:

inputting the first address data set and the second address data set into a predetermined feature extraction module respectively to obtain a first feature vector and a second feature vector;

and inputting the first feature vector and the second feature vector into the text classification module to obtain the classification index and the classification score.

9. A vehicle start control device comprising:

the detection unit is configured to detect whether an operation authorization signal is received from a target terminal device, wherein the operation authorization signal is a signal generated by a user executing a target operation on a target control;

an acquisition unit configured to acquire an initial address data set in response to detection of an operation authorization signal, wherein the initial address data set includes provincial data, city data, district data, building data, and house data;

a processing unit configured to perform a cleaning process on the initial address data set to obtain a cleaning process index;

a generation unit configured to generate a target address data set based on the initial address data set in response to the cleansing processing index being "1";

an input unit configured to receive vehicle start-up information input by a user from a target terminal device;

a control unit configured to control vehicle start-up corresponding to the vehicle start-up information according to the set of target address data and the vehicle start-up information;

wherein the generation unit is further configured to: