CN115660361A - Service audit information distribution method and device - Google Patents
Service audit information distribution method and device Download PDFInfo
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- CN115660361A CN115660361A CN202211374881.4A CN202211374881A CN115660361A CN 115660361 A CN115660361 A CN 115660361A CN 202211374881 A CN202211374881 A CN 202211374881A CN 115660361 A CN115660361 A CN 115660361A
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Abstract
The application provides a service audit information distribution method and a service audit information distribution device, which can be used in the technical field of machine learning, and the method comprises the following steps: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the plurality of intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services; acquiring real-time coordinate information of each mobile terminal device; and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing service audit reminding information to the mobile terminal equipment. According to the method and the device, the accuracy and the efficiency of service audit reminding information distribution can be improved, and further the service handling experience of a client is improved.
Description
Technical Field
The application relates to the technical field of artificial intelligence, in particular to a service audit information dispatching method and device.
Background
The rapid development of the internet and computer technology provides powerful support for bank outlets to realize intelligent services. Nowadays, most of banking businesses are developed to electronic and intelligent modes, and main application devices of the banking businesses comprise: the system comprises an intelligent self-service terminal, a self-service receipt printer and mobile terminal equipment of a customer service manager, wherein the mobile terminal equipment of the customer service manager can be a mobile auditing assistant PAD and the like. The intelligent self-service terminal is a main device for realizing network point service distribution, and can be used for handling various services such as password modification, mobile phone number replacement, fee collection and the like. Since the mobile phone is put into use, the handling efficiency of common services is improved, convenience is brought to users, and part of counter manpower is released.
However, when a customer transacts services such as activating a card, modifying a password or a mobile phone number, transferring a large amount of money and the like on an intelligent self-service device, a service manager who needs on-site guidance often needs to perform auditing authorization, and an order sending method for sending service auditing reminding information to a mobile terminal device of the service manager by an intelligent self-service terminal system is to randomly select the mobile terminal device to send, so that the situation that the mobile terminal device is not sent to the service manager nearest to the intelligent self-service terminal exists. The derivation method has two disadvantages:
1. the business auditing method includes that an executive customer service manager needs to ask other customer service managers to forward business auditing reminding information received by the mobile terminal equipment to the upper part of the logged mobile terminal equipment for auditing;
2. the authorization service audit reminding information is forwarded on different mobile terminal devices to influence the working efficiency of hall personnel, so that the waiting time of a client is prolonged, and the user experience is poor.
Disclosure of Invention
Aiming at least one problem in the prior art, the application provides the service audit information distribution method and device, which can improve the accuracy and efficiency of service audit reminding information distribution and further improve the service handling experience of customers.
In order to solve the technical problem, the present application provides the following technical solutions:
in a first aspect, the present application provides a method for dispatching service audit information, including:
receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the plurality of intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services;
acquiring real-time coordinate information of each mobile terminal device;
and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
Further, the determining, according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, a mobile terminal device closest to the target intelligent self-service terminal, and sending the service audit prompt information to the mobile terminal device includes:
dividing all the mobile terminal devices into a plurality of classes according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, wherein each class corresponds to a unique intelligent self-service terminal and is different from each class of corresponding intelligent self-service terminals;
detecting whether the number of the mobile terminal devices to be detected is unique, if so, determining the mobile terminal devices to be detected as the mobile terminal devices closest to the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal devices;
and the mobile terminal equipment to be detected is mobile terminal equipment in the class corresponding to the target intelligent self-service terminal.
Further, after the detecting whether the number of the mobile terminal devices to be detected is unique, the method further includes:
if the number of the mobile terminal devices to be detected is multiple, determining the mobile terminal device closest to the target intelligent self-service terminal in each mobile terminal device to be detected as the mobile terminal device closest to the target intelligent self-service terminal according to the real-time coordinate information of each mobile terminal device to be detected and the pre-acquired coordinate information of the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal device.
Further, before determining the mobile terminal device closest to the target intelligent self-service terminal according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, the method further includes:
obtaining a sample training set, the sample training set comprising: training samples in batches and actual classification results corresponding to the training samples, wherein each training sample comprises: historical coordinate information of each intelligent self-service terminal and each mobile terminal device;
and training the k nearest neighbor algorithm by applying the sample training set to obtain the classification model.
Further, the obtaining real-time coordinate information of each mobile terminal device includes:
receiving wireless access point signals sent by each mobile terminal device;
and determining real-time coordinate information of each mobile terminal device according to the wireless access point signal.
Further, the sending the service audit prompting information to the mobile terminal device includes:
the service audit reminding information is distributed to the mobile terminal equipment and output and displayed;
the service audit reminding information comprises: and the coordinate information of the target intelligent self-service terminal and the type of the service to be audited.
Further, the preset classification model is obtained by applying a k-nearest neighbor algorithm for training in advance.
In a second aspect, the present application provides a service audit information distribution apparatus, including:
the system comprises a receiving module, a service auditing module and a service auditing module, wherein the receiving module is used for receiving service auditing reminding information sent by a target intelligent self-service terminal in a financial institution website, a plurality of intelligent self-service terminals and mobile terminal equipment are arranged in the financial institution website, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service auditing, and the intelligent self-service terminal is used for a client to handle services;
the acquisition module is used for acquiring real-time coordinate information of each mobile terminal device;
and the dispatching module is used for determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the coordinate information pre-acquired by each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and dispatching the service audit reminding information to the mobile terminal equipment.
Further, the dispatch module comprises:
the classification unit is used for classifying all the mobile terminal devices into a plurality of classes according to a preset classification model, coordinate information pre-acquired by each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, wherein each class corresponds to a unique intelligent self-service terminal and is different from each class of corresponding intelligent self-service terminals;
the detection unit is used for detecting whether the number of the mobile terminal devices to be detected is unique, if so, determining the mobile terminal devices to be detected as the mobile terminal devices closest to the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal devices; and the mobile terminal equipment to be detected is the mobile terminal equipment in the class corresponding to the target intelligent self-service terminal.
Further, the service audit information distribution device further includes:
and the detection module is used for determining the mobile terminal equipment which is closest to the target intelligent self-service terminal in each piece of mobile terminal equipment to be detected as the mobile terminal equipment which is closest to the target intelligent self-service terminal according to the real-time coordinate information of each piece of mobile terminal equipment to be detected and the pre-acquired coordinate information of the target intelligent self-service terminal if the number of the mobile terminal equipment to be detected is multiple, and distributing the service audit reminding information to the mobile terminal equipment.
Further, the service audit information distribution device further includes:
a module for obtaining historical data, configured to obtain a sample training set, where the sample training set includes: training samples in batches and actual classification results corresponding to the training samples, wherein each training sample comprises: historical coordinate information of each intelligent self-service terminal and each mobile terminal device;
and the training module is used for applying the sample training set to train the k nearest neighbor algorithm to obtain the classification model.
Further, the obtaining module comprises:
a receiving unit, configured to receive a wireless access point signal sent by each mobile terminal device;
and the determining unit is used for determining the real-time coordinate information of each mobile terminal device according to the wireless access point signals.
Further, the detection module is configured to:
the service audit reminding information is distributed to the mobile terminal equipment and output and displayed;
the service audit reminding information comprises: and the coordinate information of the target intelligent self-service terminal and the type of the service to be audited.
Further, the preset classification model is obtained by applying a k-nearest neighbor algorithm for training in advance.
In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the service audit information distribution method when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which computer instructions are stored, and when executed, the instructions implement the service audit information distribution method.
According to the technical scheme, the service audit information dispatching method and device are provided. Wherein, the method comprises the following steps: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services; acquiring real-time coordinate information of each mobile terminal device; according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, the mobile terminal device closest to the target intelligent self-service terminal is determined, and the service audit prompt information is distributed to the mobile terminal device, so that the accuracy and efficiency of distribution of the service audit prompt information can be improved, and further the service handling experience of a client is improved; specifically, classification of the mobile terminal device and the nearest intelligent self-service terminal can be dynamically realized by embedding a KNN classification algorithm in the intelligent self-service terminal, so that the mobile terminal devices collected into the same category are bound and linked, service audit reminding information is sent to the nearest mobile terminal device, forwarding of the service audit reminding information on different mobile terminal devices is reduced, and the work efficiency of bank outlet workers is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a first flowchart of a service audit information distribution method in an embodiment of the present application;
FIG. 2 is a second flowchart of a service audit information distribution method in an embodiment of the present application;
fig. 3 is a third flow diagram of a service audit information distribution method in an embodiment of the present application;
fig. 4 is a fourth flowchart illustrating a service audit information distribution method in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a service audit information distribution device in an embodiment of the present application;
FIG. 6 is a schematic diagram of a location relationship between a smart kiosk and a PAD in an example of the present application;
fig. 7 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Aiming at the problem of random dispatching of audit information of the existing intelligent terminal, the embodiment of the application provides a method and a device for dispatching service audit information, which aim to enable the service audit information of the intelligent terminal to be sent to a PAD (mobile audit Assistant) closest to the intelligent terminal based on a machine learning K proximity algorithm (KNN), optimize a traditional audit information random dispatching mechanism and improve the accuracy of matching of the PAD approved by the intelligent terminal.
In order to improve accuracy and efficiency of service audit reminding information distribution and further improve service handling experience of a client, an embodiment of the application provides a service audit information distribution device, which may be a server or a client device, where the client device may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), a vehicle-mounted device, an intelligent wearable device, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch and intelligent bracelet etc..
In practical applications, the service audit information distribution part may be executed on the server side as described in the above, or all operations may be completed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.
The client device may have a communication module (i.e., a communication unit), and may be communicatively connected to a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.
The server and the client device may communicate using any suitable network protocol, including network protocols not yet developed at the filing date of this application. The network protocol may include, for example, a TCP/IP protocol, a UDP/IP protocol, an HTTP protocol, an HTTPS protocol, or the like. Of course, the network Protocol may also include, for example, an RPC Protocol (Remote Procedure Call Protocol), a REST Protocol (Representational State Transfer Protocol), and the like used above the above Protocol.
It should be noted that the method and the device for dispatching the service audit information disclosed by the application can be used in the technical field of finance, and can also be used in any field except the technical field of finance, and the application field of the method and the device for dispatching the service audit information disclosed by the application is not limited.
The following examples are intended to illustrate the details.
In order to improve the accuracy and efficiency of service audit reminding information distribution and further improve the service handling experience of a client, the embodiment provides a service audit information distribution method in which an execution subject is a service audit information distribution device, the service audit information distribution device includes but is not limited to a server, and as shown in fig. 1, the method specifically includes the following contents:
step 101: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services.
Specifically, the financial institution website may be a bank website, the intelligent self-service terminal may be a bank self-service terminal, and the mobile terminal device may be a tablet computer (portable Android device, PAD for short) carried by a customer manager in the financial institution website. The service auditing information distribution device can be an independent server or one of the intelligent self-service terminals.
Step 102: and acquiring real-time coordinate information of each mobile terminal device.
Specifically, in order to assist a client in handling a service and the like, the position of a client manager in a website may change, and thus the position of a mobile terminal device may also change; wireless access point signals sent by each mobile terminal device can be received; and determining the real-time coordinate information of each mobile terminal device according to the wireless access point signal so as to improve the accuracy of determining the real-time coordinate information of each mobile terminal device.
Specifically, the real-time coordinate information of the PAD may be acquired through a WiFi positioning method, which includes the following steps: 1) Under the condition that the mobile auditing assistant PAD starts Wi-Fi, scanning and collecting surrounding wireless Access Point (AP) signals, and acquiring an MAC address broadcasted by the AP; 2) The PAD sends the data capable of marking the APs to the intelligent self-service terminal, the intelligent self-service terminal retrieves the geographic position of each AP, and the geographic position of the PAD is calculated by combining the strength of each signal, so that the positioning of the PAD is realized.
Step 103: and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
Specifically, the coordinate information of each intelligent self-service terminal is fixed and can be pre-stored in the local service audit information distribution device; the service audit reminding information can be distributed to the mobile terminal device closest to the target intelligent self-service terminal. The preset classification model can be obtained by applying a k-nearest neighbor algorithm for training in advance. The KNN algorithm is a machine learning algorithm and can be used for data classification, the algorithm idea is to give prediction data, find K data which are most adjacent to the prediction data in a fixed data set space, and finally determine the classification of the prediction data by using a multi-number solution method.
In order to further improve the matching accuracy of the intelligent self-service terminal and the mobile terminal device, as shown in fig. 2, in an embodiment of the present application, step 103 includes:
step 201: and dividing all the mobile terminal equipment into a plurality of classes according to a preset classification model, the coordinate information pre-acquired by each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, wherein each class corresponds to a unique intelligent self-service terminal and each class of corresponding intelligent self-service terminals is different.
Specifically, each intelligent self-service terminal of the website can be of an independent category, an auditing PAD which is most adjacent to the intelligent self-service terminal and moves randomly can be found through a preset classification model, classification of the mobile auditing assistant PAD and the intelligent terminal is achieved, accordingly, optimal PAD matching is obtained, and the value of K in the KNN algorithm can be 1. The mobile terminal device in the class corresponding to an intelligent self-service terminal may be the mobile terminal device closest to the intelligent self-service terminal.
Step 202: and detecting whether the number of the mobile terminal devices to be detected is unique, if so, executing step 203.
Step 203: determining the mobile terminal equipment to be detected as the mobile terminal equipment closest to the target intelligent self-service terminal, and sending the service audit reminding information to the mobile terminal equipment; and the mobile terminal equipment to be detected is the mobile terminal equipment in the class corresponding to the target intelligent self-service terminal.
Specifically, if the mobile terminal device in the class corresponding to the target intelligent self-service terminal is unique, the mobile terminal device to be detected is determined as the mobile terminal device closest to the target intelligent self-service terminal.
As shown in fig. 6, for example, three intelligent self-service terminals A, B, C are placed in a website hall, that is, three categories, two mobile auditing assistants PAD: PAD1, PAD2 are taken as examples, the position of intelligent self-service terminal A, B, C is fixed, and the assumptions are as follows: a (x) A ,y A )、B(x B ,y B )、C(x C ,y C ) The position of the mobile auditing assistant PAD is changed and is respectively as follows: PAD1 (x) 1 ,y 1 )、PAD2(x 2 ,y 2 ). When a bank user transacts services such as activating a card, modifying a password or a mobile phone number, transferring a large amount of money and the like at an intelligent self-service terminal, the bank user clicks to submit verification after completing information filling, a service verification information distributing device respectively calculates the distances among three categories of PAD1, PAD2 and A, B, C by applying a preset classification model and the obtained real-time position coordinate information of PAD1 and PAD2, and then the PAD1 and PAD2 are classified according to the principle that the distances are the closest. The KNN algorithm can be calculated according to the coordinate information: d C1 ＜D B1 ＜D A1 Thus PAD1 belongs to class C, D A2 ＜D B2 ＜D C2 PAD2 thus falls under class A. Then the intelligent self-service terminal is temporarily bound with a mobile auditing assistant PAD belonging to the same category, service auditing information is sent to the temporarily bound PAD, and after auditing is finished, the temporary binding is carried outAnd releasing the service auditing information of the intelligent terminal so as to realize that the service auditing information of the intelligent terminal can be sent to the PAD which is the nearest mobile auditing assistant, thereby achieving the effect of optimizing and upgrading the traditional random distribution mechanism. Further, D can also be passed C1 ＜D B1 ＜D A1 And D C1 ＜D C2 Determining that PAD1 belongs to class C; d A2 ＜D B2 ＜D C2 And D A2 ＜D A1 And determining that PAD2 belongs to class A.
In order to further improve the efficiency of determining the mobile terminal device closest to the target intelligent self-service terminal, as shown in fig. 3, in an embodiment of the present application, after step 202, the method further includes:
step 301: if the number of the mobile terminal devices to be detected is multiple, determining the mobile terminal device closest to the target intelligent self-service terminal in each mobile terminal device to be detected as the mobile terminal device closest to the target intelligent self-service terminal according to the real-time coordinate information of each mobile terminal device to be detected and the pre-acquired coordinate information of the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal device.
Specifically, if the number of mobile terminal devices used for service auditing in a financial institution website is large, the mobile terminal devices can be classified, then the distances between each mobile terminal device to be detected and a target intelligent self-service terminal are sorted from near to far according to the classification result, and the mobile terminal device closest to the target intelligent self-service terminal in each mobile terminal device to be detected is determined as the mobile terminal device closest to the target intelligent self-service terminal.
Further, whether the mobile terminal equipment nearest to the target intelligent self-service terminal is in a busy state or not can be judged, if yes, the next mobile terminal equipment in the sequence is selected as the mobile terminal equipment nearest to the target intelligent self-service terminal; and judging whether the mobile terminal equipment nearest to the target intelligent self-service terminal is in a busy state again until the mobile terminal equipment nearest to the target intelligent self-service terminal is determined to be in an idle state, so that the service audit reminding information is conveniently distributed to the mobile terminal equipment in the idle state.
In order to obtain a reliable classification model and further apply the reliable classification model to improve the accuracy of service audit information distribution, as shown in fig. 4, in an embodiment of the present application, before step 103, the method further includes:
step 401: obtaining a sample training set, the sample training set comprising: training samples in batches and actual classification results corresponding to the training samples, wherein each training sample comprises: historical coordinate information of each intelligent self-service terminal and each mobile terminal device.
Specifically, each actual classification result may include: each type of intelligent self-service terminal corresponds to the only intelligent self-service terminal, and the intelligent self-service terminals corresponding to the types of intelligent self-service terminals are different.
Step 402: and training the k nearest neighbor algorithm by applying the sample training set to obtain the classification model.
In order to facilitate the customer manager to receive the service audit prompt message in time and to reach the customer location in time for service audit, in an embodiment of the present application, the sending the service audit prompt message to the mobile terminal device in step 103 includes: the service audit reminding information is distributed to the mobile terminal equipment and output and displayed; the service audit reminding information comprises: and the coordinate information of the target intelligent self-service terminal and the type of the service to be audited.
In terms of software, in order to improve the accuracy and efficiency of service audit reminding information distribution and further improve the service handling experience of customers, the application provides an embodiment of a service audit information distribution device for implementing all or part of the contents in the service audit information distribution method, referring to fig. 5, the service audit information distribution device specifically includes the following contents:
the system comprises a receiving module 51, a service auditing module and a processing module, wherein the receiving module 51 is used for receiving service auditing reminding information sent by a target intelligent self-service terminal in a financial institution website, a plurality of intelligent self-service terminals and mobile terminal equipment are arranged in the financial institution website, the target intelligent self-service terminal is at least one of the plurality of intelligent self-service terminals, the mobile terminal equipment is used for service auditing, and the intelligent self-service terminal is used for a client to handle services;
an obtaining module 52, configured to obtain real-time coordinate information of each mobile terminal device;
and the dispatching module 53 is configured to determine a mobile terminal device closest to the target intelligent self-service terminal according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal, and real-time coordinate information of each mobile terminal device, and dispatch the service audit reminding information to the mobile terminal device.
Specifically, the preset classification model may be pre-trained by applying a k-nearest neighbor algorithm.
In one embodiment of the present application, the dispatch module comprises:
the mobile terminal equipment comprises a classification unit, a display unit and a display unit, wherein the classification unit is used for classifying all mobile terminal equipment into a plurality of classes according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal equipment, each class corresponds to a unique intelligent self-service terminal, and the intelligent self-service terminals corresponding to the classes are different;
the detection unit is used for detecting whether the number of the mobile terminal devices to be detected is unique, if so, determining the mobile terminal devices to be detected as the mobile terminal devices closest to the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal devices; and the mobile terminal equipment to be detected is the mobile terminal equipment in the class corresponding to the target intelligent self-service terminal.
In an embodiment of the present application, the service audit information distribution apparatus further includes:
and the detection module is used for determining the mobile terminal equipment which is closest to the target intelligent self-service terminal in each piece of mobile terminal equipment to be detected as the mobile terminal equipment which is closest to the target intelligent self-service terminal according to the real-time coordinate information of each piece of mobile terminal equipment to be detected and the pre-acquired coordinate information of the target intelligent self-service terminal if the number of the mobile terminal equipment to be detected is multiple, and distributing the service audit reminding information to the mobile terminal equipment.
In an embodiment of the present application, the service audit information distribution apparatus further includes:
a module for obtaining historical data, configured to obtain a sample training set, where the sample training set includes: training samples in batches and actual classification results corresponding to the training samples, wherein each training sample comprises: historical coordinate information of each intelligent self-service terminal and each mobile terminal device;
and the training module is used for applying the sample training set to train the k nearest neighbor algorithm to obtain the classification model.
In one embodiment of the present application, the obtaining module includes:
a receiving unit, configured to receive a wireless access point signal sent by each mobile terminal device;
and the determining unit is used for determining the real-time coordinate information of each mobile terminal device according to the wireless access point signals.
In one embodiment of the present application, the detection module is configured to:
the service audit reminding information is distributed to the mobile terminal equipment and output and displayed;
the service audit reminding information comprises: and the coordinate information of the target intelligent self-service terminal and the type of the service to be audited.
The embodiment of the service audit information distribution device provided in this specification may be specifically used to execute the processing flow of the embodiment of the service audit information distribution method, and the functions of the embodiment are not described herein again, and reference may be made to the detailed description of the embodiment of the service audit information distribution method.
According to the description, the method and the device for dispatching the service audit information can improve the accuracy and the efficiency of dispatching the service audit reminding information, and further improve the service handling experience of clients; specifically, classification of the mobile terminal device and the nearest intelligent self-service terminal can be dynamically realized by embedding a KNN classification algorithm in the intelligent self-service terminal, so that the mobile terminal devices collected into the same category are bound and linked, service audit reminding information is sent to the nearest mobile terminal device, forwarding of the service audit reminding information on different mobile terminal devices is reduced, and the work efficiency of bank outlet workers is improved.
Fig. 7 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 7, the electronic device may include: a processor (processor) 401, a communication Interface (communication Interface) 402, a memory (memory) 403 and a communication bus 404, wherein the processor 401, the communication Interface 402 and the memory 403 complete communication with each other through the communication bus 404. Processor 401 may call logic instructions in memory 403 to perform the following method: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services; acquiring real-time coordinate information of each mobile terminal device; and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
In addition, the logic instructions in the memory 403 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. 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.
The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services; acquiring real-time coordinate information of each mobile terminal device; and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
The present embodiment provides a computer-readable storage medium, which stores a computer program, where the computer program causes the computer to execute the method provided by the above method embodiments, for example, the method includes: receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services; acquiring real-time coordinate information of each mobile terminal device; and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description herein, reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," "an example," "a particular example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A service audit information dispatching method is characterized by comprising the following steps:
receiving service audit reminding information sent by a target intelligent self-service terminal in a financial institution website, wherein the financial institution website is provided with a plurality of intelligent self-service terminals and mobile terminal equipment, the target intelligent self-service terminal is at least one of the plurality of intelligent self-service terminals, the mobile terminal equipment is used for service audit, and the intelligent self-service terminal is used for a client to handle services;
acquiring real-time coordinate information of each mobile terminal device;
and determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the pre-acquired coordinate information of each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and distributing the service audit reminding information to the mobile terminal equipment.
2. The service audit information dispatching method according to claim 1, wherein the step of determining the mobile terminal device closest to the target intelligent self-service terminal according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, and dispatching the service audit prompt information to the mobile terminal device comprises the steps of:
dividing all the mobile terminal devices into a plurality of classes according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, wherein each class corresponds to a unique intelligent self-service terminal and is different from each class of corresponding intelligent self-service terminals;
detecting whether the number of the mobile terminal equipment to be detected is unique, if so, determining the mobile terminal equipment to be detected as the mobile terminal equipment closest to the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal equipment;
and the mobile terminal equipment to be detected is the mobile terminal equipment in the class corresponding to the target intelligent self-service terminal.
3. The service audit information dispatching method according to claim 2, wherein after detecting whether the number of the mobile terminal devices to be detected is unique, the method further comprises:
if the number of the mobile terminal devices to be detected is multiple, determining the mobile terminal device closest to the target intelligent self-service terminal in each mobile terminal device to be detected as the mobile terminal device closest to the target intelligent self-service terminal according to the real-time coordinate information of each mobile terminal device to be detected and the pre-acquired coordinate information of the target intelligent self-service terminal, and distributing the service audit reminding information to the mobile terminal device.
4. The service audit information dispatching method according to claim 1, wherein before determining the mobile terminal device closest to the target intelligent self-service terminal according to a preset classification model, pre-acquired coordinate information of each intelligent self-service terminal and real-time coordinate information of each mobile terminal device, the method further comprises:
obtaining a sample training set, the sample training set comprising: batch training samples and actual classification results corresponding to the training samples respectively, wherein each training sample comprises: historical coordinate information of each intelligent self-service terminal and each mobile terminal device;
and training the k nearest neighbor algorithm by applying the sample training set to obtain the classification model.
5. The service audit information dispatching method according to claim 1, wherein the obtaining real-time coordinate information of each mobile terminal device includes:
receiving wireless access point signals sent by each mobile terminal device;
and determining real-time coordinate information of each mobile terminal device according to the wireless access point signal.
6. The service audit information dispatching method according to claim 1, wherein the dispatching the service audit prompt information to the mobile terminal device includes:
the service audit reminding information is distributed to the mobile terminal equipment and output and displayed;
the service audit reminding information comprises: and the coordinate information of the target intelligent self-service terminal and the type of the service to be audited.
7. The service audit information serving method according to claim 1, wherein the preset classification model is obtained by applying a k-nearest neighbor algorithm for pre-training.
8. A service audit information distribution device is characterized by comprising:
the system comprises a receiving module, a service auditing module and a service auditing module, wherein the receiving module is used for receiving service auditing reminding information sent by a target intelligent self-service terminal in a financial institution website, a plurality of intelligent self-service terminals and mobile terminal equipment are arranged in the financial institution website, the target intelligent self-service terminal is at least one of the intelligent self-service terminals, the mobile terminal equipment is used for service auditing, and the intelligent self-service terminal is used for a client to handle services;
the acquisition module is used for acquiring real-time coordinate information of each mobile terminal device;
and the dispatching module is used for determining the mobile terminal equipment closest to the target intelligent self-service terminal according to a preset classification model, the coordinate information pre-acquired by each intelligent self-service terminal and the real-time coordinate information of each mobile terminal equipment, and dispatching the service audit reminding information to the mobile terminal equipment.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the service audit information distribution method according to any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium having stored thereon computer instructions, wherein the instructions, when executed, implement the service audit information distribution method of any of claims 1 to 7.
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| CN202211374881.4A CN115660361A (en) | 2022-11-04 | 2022-11-04 | Service audit information distribution method and device |
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| CN202211374881.4A CN115660361A (en) | 2022-11-04 | 2022-11-04 | Service audit information distribution method and device |
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