CN114333180B - Financial self-service equipment maintenance method based on blockchain technology - Google Patents

Financial self-service equipment maintenance method based on blockchain technology Download PDF

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CN114333180B
CN114333180B CN202111644341.9A CN202111644341A CN114333180B CN 114333180 B CN114333180 B CN 114333180B CN 202111644341 A CN202111644341 A CN 202111644341A CN 114333180 B CN114333180 B CN 114333180B
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尹学松
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Shanghai Haineng Securities Investment Consulting Co.,Ltd.
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract

The application discloses a financial self-service equipment maintenance method based on a blockchain technology, which comprises the following steps of A001: acquiring operation information of financial self-service equipment and maintaining a program list; a002: the financial self-service equipment is controlled to upload operation information to obtain a financial self-service equipment operation information catalog, and the financial self-service equipment operation information catalog corresponds to the maintenance program list one by one; a003: according to the running state image of the financial self-service equipment acquired by the image acquisition device; a004: obtaining evaluation data, wherein the evaluation data comprises a to-be-maintained list of the financial self-service equipment and a maintenance target setting parameter list of the financial self-service equipment; a005: prompt service personnel to maintain and overhaul the self-service financial equipment, prompt and overhaul the service personnel of self-service financial equipment through the historical maintenance program list of the self-service financial equipment, thereby ensuring the normal and stable operation of the self-service financial equipment, avoiding the conditions of low manual overhaul efficiency, low timeliness and the like.

Description

Financial self-service equipment maintenance method based on blockchain technology
Technical Field
The application relates to the technical field of blockchain, in particular to a financial self-service equipment maintenance method based on a blockchain technology.
Background
With the rapid development of science and technology, blockchain technology is known to the public and applied to various aspects. Due to the decentralised, safe and reliable and non-tamperable nature of blockchain technology, new trusted data carriers are becoming available. Thus, the application of blockchain technology to data processing in various industries, including the financial industry, has become a current focus of research in this field.
Most of the service modes provided by the domestic self-service equipment service providers for the self-service equipment of the banks are passive, namely after the self-service equipment fails, a banking machine operator or a bank monitoring person calls to inform a factory to report the maintenance, the factory or the service provider sends out engineers to reserve and maintain or report the maintenance, and finally, the maintenance (maintenance) results are fed back to a bank management department or related personnel.
Because the self-service financial equipment is not timely in the aspect of detection and maintenance, the normal use of the self-service equipment is influenced, and the service life of the equipment is also influenced.
Disclosure of Invention
The application provides a financial self-service equipment maintenance method based on a blockchain technology.
The application is realized by the following technical scheme:
a method of servicing a financial self-service device based on a blockchain technique, the method comprising:
a001: acquiring financial self-service equipment operation information, wherein the financial self-service equipment operation information comprises financial self-service equipment specification data and financial self-service equipment maintenance frequency, and when the financial self-service equipment maintenance frequency is reached, the financial self-service equipment operation information is sent to a maintenance standard online information base for adaptation, so that a maintenance program list is acquired;
a002: the financial self-service equipment is controlled to upload operation information to obtain a financial self-service equipment operation information catalog, and the financial self-service equipment operation information catalog corresponds to the maintenance program list one by one;
a003: acquiring actual working information of the financial self-service equipment according to the running state image of the financial self-service equipment acquired by the image acquisition device;
a004: inputting the operation information catalogue of the financial self-service equipment and the actual working information of the financial self-service equipment into a good operation evaluation model of the financial self-service equipment to obtain evaluation data, wherein the evaluation data comprise a to-be-maintained list of the financial self-service equipment and a maintenance target setting parameter list of the financial self-service equipment;
a005: the to-be-maintained list of the self-service financial equipment and the target setting parameter list of the self-service financial equipment prompt service personnel to maintain and overhaul the self-service financial equipment.
Optionally, in the step a001, further includes:
a0010: obtaining information setting uploading frequency of the financial self-service equipment, wherein the information setting uploading frequency of the financial self-service equipment is smaller than maintenance frequency of the financial self-service equipment;
a0011: acquiring historical maintenance data of the financial self-service equipment according to the information setting uploading frequency of the financial self-service equipment, and acquiring a historical maintenance program list of the financial self-service equipment;
a0012: the history maintenance program list of the financial self-service equipment is transmitted to the maintenance standard online information base and updated, wherein the maintenance standard online information base comprises history maintenance program lists of more than or equal to two financial self-service equipment users;
a0013: and calling out the maintenance program list from the maintenance standard online information base, wherein the maintenance program list is a summary of historical maintenance program lists of more than or equal to two users of the financial self-service equipment.
Optionally, the a001 further includes:
a0014: according to the maintenance program list, a maintenance program list I and a maintenance program list II are obtained, wherein the maintenance program list I comprises characterization information of the financial self-service equipment, and the maintenance program list II comprises configuration parameter values of the financial self-service equipment;
a0015: the maintenance program list is adapted to maintenance equipment summary, the maintenance equipment summary is transmitted to the service provider personnel, maintenance is carried out by adopting the maintenance equipment summary, and self-service equipment characterization state check data are obtained;
a0016, reading the operation variable of the financial self-service equipment through the maintenance program list II to obtain operation variable work patrol data;
and A0017, combining the self-service equipment characterization state check data and the operation variable work inspection data to set the self-service equipment characterization state check data and the operation variable work inspection data as a financial self-service equipment operation information catalog.
Optionally, the a002 further includes:
a0021, obtaining safety secret information according to the specification data of the financial self-service equipment, wherein the safety secret information is secret data confirmed for a level set when the financial self-service equipment leaves a factory;
a0022, inputting the security secret information into a security information database for traversing to obtain a security password,
a0023, sending the safety password to the financial self-service equipment to break the password, and obtaining a control interval after the financial self-service equipment breaks the password.
Optionally, the a0015 further includes:
a00151, obtaining a summary of the primary operation device summary working interval according to the operation information of the financial self-service equipment;
00152, inputting the maintenance program list I, the maintenance equipment summary and the working interval summary into a maintenance result estimation model to obtain estimation summary of the estimation effect, wherein the estimation summary of the estimation effect comprises an optimal setting area of the maintenance equipment summary;
and A00153, transmitting the optimal setting area to the service provider personnel, and setting the area for the maintenance equipment in a summarization way.
Optionally, step a003 further includes:
a0031, performing convolution characteristic extraction on the running state images to obtain running state specification information of the financial self-service equipment, traversing the running state specification information of the financial self-service equipment in a plurality of groups of running state images to obtain normal running state information of the financial self-service equipment;
and A0032, obtaining good operation data based on the normal operation state information of the self-service financial equipment and the operation state specification information of the self-service financial equipment, and setting the good operation data as actual working information of the self-service financial equipment.
Optionally, the step a003 further includes:
a0033, performing convolution characteristic extraction on the running state image to obtain impurity running information of the financial self-service equipment, traversing the impurity running information of the financial self-service equipment in a plurality of groups of running images according to the impurity running information of the financial self-service equipment to obtain impurity running state information of the financial self-service equipment;
and A0034, acquiring status operation data based on the impurity operation state information of the self-service financial equipment, wherein the status operation data is one of the actual working information of the self-service financial equipment.
Optionally, the step a004 further includes
A0041, acquiring preset working data of the financial self-service equipment, and acquiring a good operation evaluation criterion according to deviation of actual working information of the financial self-service equipment and the preset working data of the financial self-service equipment, wherein the actual working information of the financial self-service equipment corresponds to the operation information catalog of the financial self-service equipment one by one;
a0042, establishing a financial self-service equipment good operation evaluation model according to the good operation evaluation criterion, and inputting a plurality of groups of financial self-service equipment operation information catalogues and financial self-service equipment actual working information into the fused self-service equipment good operation evaluation model to obtain a plurality of groups of good evaluation data;
a0043, the operation information catalogs of a plurality of groups of the financial self-service equipment are in one-to-one correspondence with a plurality of groups of good evaluation data;
and A0044, obtaining evaluation data through one-to-one correspondence.
Optionally, in step a0042, the evaluation good data is one of the evaluation data.
Optionally, the above related data is stored in the blockchain through a network.
Compared with the prior art, the application has the following advantages and beneficial effects:
according to the technical scheme, the financial self-service equipment operation information is obtained and sent to a maintenance standard online information base for adaptation, so that a maintenance program list is obtained; the financial self-service equipment is controlled to upload operation information to obtain an operation information catalog of the financial self-service equipment, and meanwhile, the actual working information of the financial self-service equipment is obtained according to the operation state image of the financial self-service equipment, which is acquired by the image acquisition device; and then, inputting the operation information catalogue of the financial self-service equipment and the actual working information of the financial self-service equipment into a good operation evaluation model of the financial self-service equipment to obtain evaluation data, wherein a to-be-maintained list of the financial self-service equipment and a set parameter list of a maintenance target of the financial self-service equipment prompt service personnel to maintain and overhaul the financial self-service equipment. According to the maintenance inspection method, information prompt is carried out on service personnel through information output by the good operation evaluation model of the self-service financial equipment, maintenance and maintenance are carried out on the self-service financial equipment, the problems can be found timely, timely maintenance and comprehensive periodic maintenance are facilitated for the service personnel, and effective and stable operation and service cycle of the self-service financial equipment are effectively ensured.
Drawings
Fig. 1 is a schematic block diagram of a flow structure of the present application.
Detailed Description
The present application will be described in further detail with reference to the following examples, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the description thereof is merely illustrative of the present application and not intended to be limiting.
Example 1:
as shown in fig. 1, a method for overhauling a financial self-service device based on a blockchain technology comprises the following steps:
a001: acquiring financial self-service equipment operation information, wherein the financial self-service equipment operation information comprises financial self-service equipment specification data and financial self-service equipment maintenance frequency, and when the financial self-service equipment maintenance frequency is reached, the financial self-service equipment operation information is sent to a maintenance standard online information base for adaptation, so that a maintenance program list is acquired;
specifically, the financial self-service equipment maintenance method based on the blockchain technology in the technical scheme of the application can be applied to a financial self-service equipment maintenance system based on the blockchain technology, can timely find the problem of the financial self-service equipment in the normal operation period, and can timely and intelligently send maintenance and maintenance prompts, thereby ensuring the stable operation and the service cycle of the financial self-service equipment and realizing the normal order operation of the financial healthy operation environment. The financial self-service equipment is such as automatic teller machine, automatic deposit machine, circulating automatic teller machine, self-service inquiry machine, self-service payment machine and the like. The financial self-service equipment in the technical scheme is any type and is used for maintenance and overhaul by using the maintenance and overhaul method. The financial self-service equipment operation information comprises basic information, and the operation parameter information of equipment involved in operation, such as model, accessories, application range and the like, and the change of the operation parameter and the like when the financial self-service equipment is operated, so that the financial self-service equipment operation information is obtained. The financial self-service equipment operation information comprises financial self-service equipment specification data and financial self-service equipment maintenance frequency. The financial self-service equipment is subjected to external environment influence such as external force in the use process, and possibly also is subjected to internal component acting force in the operation process, so that the service life of the equipment is influenced, and equipment personnel can preset the maintenance and overhaul period of the equipment in a test verification mode and the like before the financial self-service equipment is put into use. Based on the mode, the specification information of the financial self-service equipment is determined, and the maintenance frequency or the maintenance period of the financial self-service equipment is determined, so that the normal use of the financial self-service equipment is maintained.
The maintenance frequency of the self-service financial equipment is determined by comprehensive analysis of the self-service financial equipment according to the detection result, the historical use information and the like, and can also be called as a maintenance period. When the service time of the financial self-service equipment reaches the maintenance frequency of the financial equipment, for example, the financial self-service equipment is maintained for 12 times a year, the financial self-service equipment is maintained once every month, parameters such as operation information, basic information and the like corresponding to the financial self-service equipment are conveyed to a maintenance standard on-line information base after maintenance and overhaul, and after the maintenance standard on-line information base receives related information, the automatic starting of a search adaptation mode is started to obtain maintenance item data corresponding to the operation information of the financial self-service equipment, namely, a maintenance program list.
The program maintenance list comprises characterization states, items, physical parameter information and the like of periodic maintenance and overhaul of the self-service financial equipment, and the maintenance program list corresponding to the self-service financial equipment is obtained through the maintenance specification online information base, so that the periodic and timely maintenance and overhaul of the self-service financial equipment is achieved, and the conditions of missing maintenance and the like are avoided.
A002: the financial self-service equipment is controlled to upload operation information to obtain a financial self-service equipment operation information catalog, and the financial self-service equipment operation information catalog corresponds to the maintenance program list one by one;
specifically, the maintenance and overhaul method of the financial self-service equipment is applied to a corresponding maintenance and overhaul system, and can intelligently control the financial self-service equipment to upload related information conditions, namely operation information, so as to obtain the operation information catalogue of the financial self-service equipment. The operation information catalogue of the financial self-service equipment corresponds to the maintenance program list one by one, working state information, component operation data, position data and the like of the financial self-service equipment in an actual working state are obtained through intellectualization, then the operation information catalogue is compared with each list information in the maintenance program list one by one, and a result obtained through comparison analysis does not accord with a specified item category, so that maintenance and overhaul are carried out in a targeted manner, relevant items of the financial self-service equipment are detected intelligently, normal operation is ensured, and meanwhile, overhaul can be carried out in time when relevant problems occur.
A003: acquiring actual working information of the financial self-service equipment according to the running state image of the financial self-service equipment acquired by the image acquisition device;
specifically, the image acquisition device may be an image sensing device, and has a detection function, and can convert acquired image information into an electric signal or other information according to a certain rule, then transmit the electric signal or other information, and process, store and display the information. The image acquisition device is used for acquiring operation motion images of the financial self-service equipment in different angles and different distances in real time in the working process. The remote acquisition device of the self-service financial equipment analyzes and obtains data information of the self-service financial equipment in the operation process according to the operation state images, such as whether printing paper can be printed normally, whether a display screen can be displayed normally, whether a card can be identified normally and the like, namely, the actual working information of the self-service financial equipment is obtained through the operation state images, and further intelligent judgment and analysis are carried out on the operation state of the self-service financial equipment according to the actual working information, so that the self-service financial equipment is ensured to work to meet the working requirement of normal operation.
In this embodiment, after the image acquisition device acquires the running state image of the self-service financial device and uploads the running state image to the corresponding area, the system starts to perform contrast analysis, intelligent analysis and detection are achieved, the timeliness of manual inspection is reduced, the detection efficiency is low, and the technical problem that detection is incomplete may exist.
A004: inputting the operation information catalogue of the financial self-service equipment and the actual working information of the financial self-service equipment into a good operation evaluation model of the financial self-service equipment to obtain evaluation data, wherein the evaluation data comprise a to-be-maintained list of the financial self-service equipment and a maintenance target setting parameter list of the financial self-service equipment;
a005: the to-be-maintained list of the self-service financial equipment and the target setting parameter list of the self-service financial equipment prompt service personnel to maintain and overhaul the self-service financial equipment.
Specifically, the operation information catalog of the self-service financial equipment and the actual working information of the self-service financial equipment are input into a good operation evaluation model of the self-service financial equipment, and evaluation data can be obtained. The financial self-service equipment good operation evaluation model is formed by training a large amount of data, so that the accuracy of the output evaluation data result is higher. The evaluation data comprise a to-be-maintained list of the self-service financial equipment and a target setting parameter list of the self-service financial equipment, wherein the to-be-maintained list of the self-service financial equipment comprises structural elements which are not maintained by the self-service financial equipment and items which are not maintained by the self-service financial equipment, and the target setting parameter list of the self-service financial equipment, namely, target elements which are to be maintained by the self-service financial equipment, and a catalog list of the maintenance elements, namely, specific items, are required. The list and the project to be maintained of the self-service financial equipment and the standard parameters corresponding to maintenance and overhaul are obtained through the good operation evaluation model of the self-service financial equipment, so that service personnel are reminded to maintain the self-service financial equipment preferentially or pertinently, the position of the self-service financial equipment with problems, reasons for the problems and the like can be found out at the first time, the normal operation and the service cycle of the self-service financial equipment are further ensured, and the normal operation of the financial industry is finally realized.
The financial self-service equipment good operation evaluation model is a neural network model, is mainly applied to machine learning, and can be a mathematical model which can be continuously learned and adjusted. The financial self-service equipment good operation evaluation model is a model which is established for simulating data such as a financial self-service equipment operation information catalog and financial self-service equipment actual work information by adopting a plurality of groups of data and is mainly used for acquiring evaluation data after the data such as the financial self-service equipment operation information catalog and the financial self-service equipment actual work information in the operation process of the financial self-service equipment are input. The financial self-service equipment well-running evaluation model is a model with high accuracy, which is obtained by training a large amount of data, so that the obtained evaluation data is more accurate.
Further, in the step a001, the method further includes:
a0010: obtaining information setting uploading frequency of the financial self-service equipment, wherein the information setting uploading frequency of the financial self-service equipment is smaller than maintenance frequency of the financial self-service equipment;
a0011: acquiring historical maintenance data of the financial self-service equipment according to the information setting uploading frequency of the financial self-service equipment, and acquiring a historical maintenance program list of the financial self-service equipment;
a0012: the history maintenance program list of the financial self-service equipment is transmitted to the maintenance standard online information base and updated, wherein the maintenance standard online information base comprises history maintenance program lists of more than or equal to two financial self-service equipment users;
a0013: and calling out the maintenance program list from the maintenance standard online information base, wherein the maintenance program list is a summary of historical maintenance program lists of more than or equal to two users of the financial self-service equipment.
Specifically, the information setting uploading frequency of the financial self-service equipment is mainly used for uploading, storing and updating relevant data of the working operation, maintenance and overhaul of the financial self-service equipment. When the information setting and uploading frequency of the financial self-service equipment is smaller than the maintenance frequency of the financial self-service equipment, before the set maintenance period time, the information such as the working operation information of the financial self-service equipment and the corresponding items of maintenance and inspection at the latest maintenance time point are transmitted to a remote detection system for the maintenance of the financial self-service equipment, and meanwhile, the data such as standard data, parameter values and working state information of the operation of each part of the financial self-service equipment are uploaded, and the data of an information base is updated on the maintenance standard line. And the maintenance specification online information base stores a plurality of groups or more than two groups of history maintenance program lists of users of the financial self-service equipment, namely, the history maintenance program lists have specified data for detecting the financial self-service equipment.
The maintenance program list is a summary of history maintenance program lists of more than two users of the financial self-service equipment, namely, the data in the maintenance standard online information base is a maintenance program list determined by integrating a plurality of specified data, so that the maintenance program list is convenient to reference. The financial self-service equipment maintenance standard data obtained by integrating the actual operation at a plurality of angles is adopted, so that a standard with a large number of actual operation bases is provided, and the technical effects of accuracy and effectiveness of reference of the standard for maintenance and overhaul are further realized.
Further, the a001 further includes:
a0014: according to the maintenance program list, a maintenance program list I and a maintenance program list II are obtained, wherein the maintenance program list I comprises characterization information of the financial self-service equipment, and the maintenance program list II comprises configuration parameter values of the financial self-service equipment;
a0015: the maintenance program list is adapted to maintenance equipment summary, the maintenance equipment summary is transmitted to the service provider personnel, maintenance is carried out by adopting the maintenance equipment summary, and self-service equipment characterization state check data are obtained;
a0016, reading the operation variable of the financial self-service equipment through the maintenance program list II to obtain operation variable work patrol data;
and A0017, combining the self-service equipment characterization state check data and the operation variable work inspection data to set the self-service equipment characterization state check data and the operation variable work inspection data as a financial self-service equipment operation information catalog.
Specifically, the maintenance program list is obtained according to the maintenance standard online information base, and the corresponding working information and the working operation parameter data of the financial self-service equipment are compared and analyzed. The maintenance program list is used for detecting the characterization state information, the physical state information, the working parameters of equipment components and the like in the financial self-service equipment. When the physical state data of the financial self-service equipment in the maintenance program list are maintained and overhauled, all financial self-service equipment needing to detect relevant physical states is firstly adapted, the maintenance equipment summary is sent to service provider personnel, and the physical state maintenance detection data of each equipment in the maintenance equipment summary are further detected manually. For example: when a receipt is printed in the automatic teller machine, the printing device can normally operate and make a sound of normal operation, but after the receipt is selected to be printed, one minute later, no information such as receipt is printed. And finally integrating the self-service equipment characterization state check data and the operation variable work inspection data to obtain the financial self-service equipment operation information catalog.
The method comprises the steps of obtaining a financial self-service equipment operation information catalog, namely obtaining characterization state or physical state check data during operation of the financial self-service equipment and part operation variable work inspection data during operation of the financial self-service equipment, and obtaining the financial self-service equipment operation information catalog by analyzing and integrating the two condition data.
Optionally, the step a002 further includes:
a0021, obtaining safety secret information according to the specification data of the financial self-service equipment, wherein the safety secret information is secret data confirmed for a level set when the financial self-service equipment leaves a factory;
a0022, inputting the security secret information into a security information database for traversing to obtain a security password,
a0023, sending the safety password to the financial self-service equipment to break the password, and obtaining a control interval after the financial self-service equipment breaks the password.
Specifically, before the self-service financial equipment is manufactured and put into use, the level secret data for security protection is preset, and the level secret data can be understood as preset authority confirmation encryption information, the security secret information corresponding to the self-service financial equipment is input into the security information database for traversing searching, so that the password information in one-to-one correspondence with the security secret information is obtained, and the password is the security password. And the secure password is further transmitted to the financial self-service equipment, so that the financial self-service equipment can decrypt the secure password conveniently, and the control authority corresponding to the financial self-service equipment, namely the control interval, can be obtained after the secure password is decrypted. And the factory is adopted to confirm the secret data at a set level, so that the data information security of the financial self-service equipment can be ensured. The safety password information corresponding to the self-service financial equipment is obtained from a reasonable way, so that the control interval of the self-service financial equipment is obtained, the equipment can be controlled, and the whole equipment operation process is controlled, so that misoperation caused by irrelevant personnel is avoided, and the normal operation of the self-service financial equipment is influenced.
Further, the method a0015 further includes:
a00151, obtaining a summary of the primary operation device summary working interval according to the operation information of the financial self-service equipment;
00152, inputting the maintenance program list I, the maintenance equipment summary and the working interval summary into a maintenance result estimation model to obtain estimation summary of the estimation effect, wherein the estimation summary of the estimation effect comprises an optimal setting area of the maintenance equipment summary;
and A00153, transmitting the optimal setting area to the service provider personnel, and setting the area for the maintenance equipment in a summarization way.
Specifically, according to the operation information of the financial self-service equipment, the corresponding summary of the preliminary operation devices of the financial self-service equipment into the working interval can be obtained. Based on the maintenance program list I, the maintenance equipment summary, the preliminary operation device summary and the working interval summary, the maintenance result presumption model can intelligently analyze and obtain presumption results of the best setting areas summarized by the maintenance equipment in the financial self-service equipment, so that the corresponding best setting areas are sent to service personnel in the form of information, and the service personnel are informed of position arrangement of the maintenance equipment summary. The maintenance result presumption model is trained by multiple sets of training data, and each set of training data comprises detection results of different position areas.
In the training process of the historical maintenance result presumption model, technicians with abundant practical operation experience generally provide an indication of an optimal setting area or an optimal setting position, and after the maintenance result presumption model is converged, data can be directly obtained from the model, so that the dependency on experience of maintenance staff is reduced, and the maintenance method has general applicability. The maintenance result presumption model is specifically a neural network model, the neural network is a complex network system formed by widely connecting a large number of simple processing units or neurons, and the neural network has massively parallel, distributed storage and processing, self-organization, self-adaption and self-learning capabilities, so that the maintenance result presumption model can be understood as a mathematical model, is built for carrying out simulation training by adopting a large number of data such as a maintenance program list I, a maintenance equipment summary and a working interval summary, and ensures that data information output by the maintenance result presumption model is presumed and summarized like presumption effects, is more accurate and accords with actual working operation conditions.
Optionally, step a003 further includes:
a0031, performing convolution characteristic extraction on the running state images to obtain running state specification information of the financial self-service equipment, traversing the running state specification information of the financial self-service equipment in a plurality of groups of running state images to obtain normal running state information of the financial self-service equipment;
and A0032, obtaining good operation data based on the normal operation state information of the self-service financial equipment and the operation state specification information of the self-service financial equipment, and setting the good operation data as actual working information of the self-service financial equipment.
Specifically, the computer is adopted to intelligently conduct convolution feature extraction on the running state image of the financial self-service equipment, so that the specification information of the financial self-service equipment in the running state, such as the relative position relationship between parts in normal running of the financial self-service equipment, is achieved. Traversing the operation state specification information of the financial self-service equipment in a plurality of groups of operation state images to obtain the normal operation state information of the financial self-service equipment. And acquiring the operation good data of the self-service financial equipment by combining the normal operation state information of the self-service financial equipment and the operation state specification information of the self-service financial equipment. The method comprises the steps of acquiring operation good data based on normal operation state information of the financial self-service equipment, and further taking the operation good data as actual working information of the financial self-service equipment, so that intelligent calculation analysis of operation state characteristics based on image characteristic analysis is realized, and meanwhile, the operation state of the financial self-service equipment is displayed in a data form.
Optionally, step a003 further includes:
a0033, performing convolution characteristic extraction on the running state image to obtain impurity running information of the financial self-service equipment, traversing the impurity running information of the financial self-service equipment in a plurality of groups of running images according to the impurity running information of the financial self-service equipment to obtain impurity running state information of the financial self-service equipment;
and A0034, acquiring status operation data based on the impurity operation state information of the self-service financial equipment, wherein the status operation data is one of the actual working information of the self-service financial equipment.
According to the technical scheme, the impurity operation information obtaining mode of the self-service financial equipment is the same as the operation state specification information obtaining mode of the self-service financial equipment, and the self-service financial equipment can obtain the normal operation state information of the self-service financial equipment quickly by collecting some irrelevant or low-correlation object information in the operation process of the self-service financial equipment, and analyze the operation state characteristics, and meanwhile, the self-service financial equipment is displayed in a data form, so that the self-service financial equipment can be guaranteed to operate well and normally, and meanwhile, equipment with problems is also facilitated to be maintained and overhauled in time.
Optionally, step a004 further comprises
A0041, acquiring preset working data of the financial self-service equipment, and acquiring a good operation evaluation criterion according to deviation of actual working information of the financial self-service equipment and the preset working data of the financial self-service equipment, wherein the actual working information of the financial self-service equipment corresponds to the operation information catalog of the financial self-service equipment one by one;
a0042, establishing a financial self-service equipment good operation evaluation model according to the good operation evaluation criterion, and inputting a plurality of groups of financial self-service equipment operation information catalogues and financial self-service equipment actual working information into the fused self-service equipment good operation evaluation model to obtain a plurality of groups of good evaluation data;
a0043, the operation information catalogs of a plurality of groups of the financial self-service equipment are in one-to-one correspondence with a plurality of groups of good evaluation data;
and A0044, obtaining evaluation data through one-to-one correspondence.
Specifically, comparing the preset working data of the financial self-service equipment with the actual working information of the financial self-service equipment, so as to obtain the deviation or gap between the actual working data of the financial self-service equipment and the preset working data, and performing evaluation analysis on the running state condition of the financial self-service equipment based on the magnitude of the deviation, namely obtaining a good running evaluation criterion. According to the good operation evaluation criterion, a good operation evaluation model of the self-service financial equipment can be established, a plurality of groups of operation information catalogues of the self-service financial equipment and actual working information of the self-service financial equipment are further input into the good operation evaluation model of the self-service financial equipment, and the model can intelligently compare and analyze a plurality of groups of evaluation data or scoring results of the self-service financial equipment. The financial self-service equipment operation information catalogues and the plurality of groups of good evaluation data are in one-to-one correspondence, namely have the one-to-one mapping relation, working parameters and characterization states of all equipment or elements can be screened out based on the mapping relation when the financial self-service equipment normally operates, and normal operation state information is used as a standard reference value to be compared with the existing working state, so that maintenance parameters are obtained. Meanwhile, the evaluation data in the technical scheme are obtained without comparison with the standard reference value, namely the value is more in line with the prediction of the current actual situation and is also suitable for the current environment where the financial self-service equipment is located.
Through the good operation evaluation model of self-service financial equipment, can judge currently based on self-service financial equipment actual working information the current operation condition of self-service financial equipment, and to the poor self-service financial equipment of operation condition, ware aassessment data is poor, then can prompt service crewman to maintain and overhaul to guarantee self-service financial equipment's normal operating, ensure that financial work is orderly, stable operation, thereby reach a plurality of angles, the remote control on line can effectively avoid the manpower to maintain when overhauing, overhaul efficiency is low, technical problem such as ageing is poor.
Wherein, in step A0042, the evaluation good data is one of the evaluation data.
Optionally, the data are stored in the blockchain through a network, and in this embodiment, the data processing work of maintenance and overhaul of the financial self-service equipment is combined with the blockchain technology to serve as a new trusted data carrier, so that the smooth performance of remote maintenance and overhaul work is facilitated, and the remote maintenance efficiency is greatly improved.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the application, and is not meant to limit the scope of the application, but to limit the application to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the application are intended to be included within the scope of the application.

Claims (8)

1. A financial self-service equipment overhauling method based on a blockchain technology is characterized by comprising the following steps of: the method comprises the following steps:
a001: acquiring financial self-service equipment operation information, wherein the financial self-service equipment operation information comprises financial self-service equipment specification data and financial self-service equipment maintenance frequency, and when the financial self-service equipment maintenance frequency is reached, the financial self-service equipment operation information is sent to a maintenance standard online information base for adaptation, so that a maintenance program list is acquired;
a002: the financial self-service equipment is controlled to upload operation information to obtain a financial self-service equipment operation information catalog, and the financial self-service equipment operation information catalog corresponds to the maintenance program list one by one;
a003: acquiring actual working information of the financial self-service equipment according to the running state image of the financial self-service equipment acquired by the image acquisition device;
a004: inputting the operation information catalogue of the financial self-service equipment and the actual working information of the financial self-service equipment into a good operation evaluation model of the financial self-service equipment to obtain evaluation data, wherein the evaluation data comprise a to-be-maintained list of the financial self-service equipment and a maintenance target setting parameter list of the financial self-service equipment;
a005: the to-be-maintained list of the financial self-service equipment and the maintenance target setting parameter list of the financial self-service equipment prompt service personnel to maintain and overhaul the financial self-service equipment;
in the step a001, further includes:
a0010: obtaining information setting uploading frequency of the financial self-service equipment, wherein the information setting uploading frequency of the financial self-service equipment is smaller than maintenance frequency of the financial self-service equipment;
a0011: acquiring historical maintenance data of the financial self-service equipment according to the information setting uploading frequency of the financial self-service equipment, and acquiring a historical maintenance program list of the financial self-service equipment;
a0012: the history maintenance program list of the financial self-service equipment is transmitted to the maintenance standard online information base and updated, wherein the maintenance standard online information base comprises history maintenance program lists of more than or equal to two financial self-service equipment users;
a0013: calling out the maintenance program list from the maintenance standard online information base, wherein the maintenance program list is a summary of historical maintenance program lists of more than or equal to two users of the financial self-service equipment;
a0014: according to the maintenance program list, a maintenance program list I and a maintenance program list II are obtained, wherein the maintenance program list I comprises characterization information of the financial self-service equipment, and the maintenance program list II comprises configuration parameter values of the financial self-service equipment;
a0015: the maintenance program list is adapted to maintenance equipment summary, the maintenance equipment summary is transmitted to the service provider personnel, maintenance is carried out by adopting the maintenance equipment summary, and self-service equipment characterization state check data are obtained;
a0016, reading the operation variable of the financial self-service equipment through the maintenance program list II to obtain operation variable work patrol data;
and A0017, combining the self-service equipment characterization state check data and the operation variable work inspection data to set the self-service equipment characterization state check data and the operation variable work inspection data as a financial self-service equipment operation information catalog.
2. The method for overhauling financial self-service equipment based on blockchain technology as in claim 1, wherein the method comprises the steps of: the A002 also comprises:
a0021, obtaining safety secret information according to the specification data of the financial self-service equipment, wherein the safety secret information is secret data confirmed for a level set when the financial self-service equipment leaves a factory;
a0022, inputting the security secret information into a security information database for traversing to obtain a security password,
a0023, sending the safety password to the financial self-service equipment to break the password, and obtaining a control interval after the financial self-service equipment breaks the password.
3. The method for overhauling financial self-service equipment based on blockchain technology as in claim 1, wherein the method comprises the steps of: the a0015: also comprises:
a00151, obtaining a summary of the primary operation device summary working interval according to the operation information of the financial self-service equipment;
00152, inputting the maintenance program list I, the maintenance equipment summary and the working interval summary into a maintenance result estimation model to obtain estimation summary of the estimation effect, wherein the estimation summary of the estimation effect comprises an optimal setting area of the maintenance equipment summary;
and A00153, transmitting the optimal setting area to the service provider personnel, and setting the area for the maintenance equipment in a summarization way.
4. The method for overhauling financial self-service equipment based on blockchain technology as in claim 1, wherein the method comprises the steps of: step a003 further comprises:
a0031, performing convolution characteristic extraction on the running state images to obtain running state specification information of the financial self-service equipment, traversing the running state specification information of the financial self-service equipment in a plurality of groups of running state images to obtain normal running state information of the financial self-service equipment;
and A0032, obtaining good operation data based on the normal operation state information of the self-service financial equipment and the operation state specification information of the self-service financial equipment, and setting the good operation data as actual working information of the self-service financial equipment.
5. The method for overhauling financial self-service equipment based on blockchain technology as in claim 1, wherein the method comprises the steps of: step a003 further comprises:
a0033, performing convolution characteristic extraction on the running state images to obtain impurity running information of the financial self-service equipment, traversing the impurity running information of the financial self-service equipment in a plurality of groups of running state images according to the impurity running information of the financial self-service equipment to obtain impurity running state information of the financial self-service equipment;
and A0034, acquiring status operation data based on the impurity operation state information of the self-service financial equipment, wherein the status operation data is one of the actual working information of the self-service financial equipment.
6. The method for overhauling financial self-service equipment based on blockchain technology as in claim 1, wherein the method comprises the steps of: step A004 also includes
A0041, acquiring preset working data of the financial self-service equipment, and acquiring a good operation evaluation criterion according to deviation of actual working information of the financial self-service equipment and the preset working data of the financial self-service equipment, wherein the actual working information of the financial self-service equipment corresponds to the operation information catalog of the financial self-service equipment one by one;
a0042, establishing a financial self-service equipment good operation evaluation model according to the good operation evaluation criterion, and inputting a plurality of groups of financial self-service equipment operation information catalogues and financial self-service equipment actual working information into the fused self-service equipment good operation evaluation model to obtain a plurality of groups of good evaluation data;
a0043, the operation information catalogs of a plurality of groups of the financial self-service equipment are in one-to-one correspondence with a plurality of groups of good evaluation data;
and A0044, obtaining evaluation data through one-to-one correspondence.
7. The method for overhauling financial self-service equipment based on blockchain technology as in claim 6, wherein the method comprises the steps of: in step a0042, the plurality of sets of good evaluation data is one of the evaluation data.
8. The method for overhauling financial self-service equipment based on blockchain technology as in claim 7, wherein the method comprises the steps of: storing the data of any of claims 1-7 into a blockchain over a network.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103560911A (en) * 2013-10-30 2014-02-05 深圳市怡化电脑有限公司 Method and system for financial self-service equipment initiative preventive maintenance
CN106600163A (en) * 2016-12-26 2017-04-26 中电长城(长沙)信息技术有限公司 Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof
CN107636741A (en) * 2017-07-18 2018-01-26 深圳怡化电脑股份有限公司 Fault early warning method, terminal device and the storage medium of financial terminal
CN107862811A (en) * 2017-10-31 2018-03-30 浪潮金融信息技术有限公司 Self-help terminal equipment and its monitoring method of health state and device, storage medium
CN108335435A (en) * 2018-02-28 2018-07-27 深圳怡化电脑股份有限公司 A kind of maintaining method of automatic teller machine, device, terminal device and storage medium
WO2019190344A1 (en) * 2018-03-30 2019-10-03 Публичное Акционерное Общество "Сбербанк России" System for monitoring a network of self-service devices
CN110443945A (en) * 2019-08-16 2019-11-12 中国银行股份有限公司 Terminal unit status monitoring and notification method, apparatus and system
CN111372042A (en) * 2020-01-16 2020-07-03 上海眼控科技股份有限公司 Fault detection method and device, computer equipment and storage medium
CN111679616A (en) * 2020-07-09 2020-09-18 玉环睿升自动化技术有限公司 Modular air curtain maintenance system based on block chain

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020138431A1 (en) * 2000-09-14 2002-09-26 Thierry Antonin System and method for providing supervision of a plurality of financial services terminals with a document driven interface

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103560911A (en) * 2013-10-30 2014-02-05 深圳市怡化电脑有限公司 Method and system for financial self-service equipment initiative preventive maintenance
CN106600163A (en) * 2016-12-26 2017-04-26 中电长城(长沙)信息技术有限公司 Financial self-service terminal fault diagnosis method based on decision tree learning algorithm and system thereof
CN107636741A (en) * 2017-07-18 2018-01-26 深圳怡化电脑股份有限公司 Fault early warning method, terminal device and the storage medium of financial terminal
CN107862811A (en) * 2017-10-31 2018-03-30 浪潮金融信息技术有限公司 Self-help terminal equipment and its monitoring method of health state and device, storage medium
CN108335435A (en) * 2018-02-28 2018-07-27 深圳怡化电脑股份有限公司 A kind of maintaining method of automatic teller machine, device, terminal device and storage medium
WO2019190344A1 (en) * 2018-03-30 2019-10-03 Публичное Акционерное Общество "Сбербанк России" System for monitoring a network of self-service devices
CN110443945A (en) * 2019-08-16 2019-11-12 中国银行股份有限公司 Terminal unit status monitoring and notification method, apparatus and system
CN111372042A (en) * 2020-01-16 2020-07-03 上海眼控科技股份有限公司 Fault detection method and device, computer equipment and storage medium
CN111679616A (en) * 2020-07-09 2020-09-18 玉环睿升自动化技术有限公司 Modular air curtain maintenance system based on block chain

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