CN112364772A - Mobile operation terminal system based on cloud platform - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/50—Maintenance of biometric data or enrolment thereof
Abstract
The invention discloses a mobile operation terminal system based on a cloud platform, which comprises the cloud platform, and an application architecture, a technical architecture, a data architecture, a software architecture and face recognition based on the cloud platform. The invention is based on the cloud platform, preliminarily establishes a set of management application based on the mobile operation terminal, realizes terminal standardized management, and has operability and practicability. The management level of the terminal is improved, the overall scheme for improving the mobile application requirements is improved, the abnormal use condition can be managed and controlled, and the technical prevention measures are improved. The invention changes the current situation of low utilization rate by the software and hardware adaptive algorithm, effectively improves the utilization rate of assets, lightens the burden of teams and groups, provides a safe and reliable data transmission channel and data protection measures for the mobile operation terminal and the application, and reduces the safety risk.
Description
Technical Field
The invention relates to the technical field of mobile operation terminals, in particular to a mobile operation terminal system based on a cloud platform.
Background
In a cloud-network-edge-end-core industrial system for building an electric power internet of things, the function of a terminal in the cloud-network-edge-end-core industrial system is necessarily increased. The system plays an increasingly important role in multiple scenes such as service expansion (investigation and dispatching, on-site investigation, service approval, completion and acceptance, periodic inspection, power cut and transmission management), metering (meter reading and acceptance prompting and abnormal feedback), customer service (service acceptance and on-site handling), operation and inspection (substation inspection, line inspection, mobile office, on-site standardized operation, emergency repair), communication inspection and the like, and further provides higher requirements for the overall management and control of a mobile operation terminal (hereinafter referred to as a terminal).
Due to the fact that the types of the terminals are various, the fault rate of equipment management is high, and the compatibility of the equipment causes the phenomena of software installation failure, incapability of login, flash back and blocking. Specifically, the current terminals face the following major problems: 1. the terminal management source head is not strictly controlled. The purchasing, network access, use distribution, scrapping and other asset ledger data of each professional terminal are unclear, the flow is complicated, and the hysteresis is realized. 2. The terminal indicator changes. In 2020, the company brings equipment which is unbound and maintained into the terminal management rate index, and the company has more equipment of this type, which affects the index. 3. The execution terminal overall planning mechanism and the mobile application demand overall planning mechanism are not in place. 4. The terminal liveness supervision is not strict, zombie applications (no one downloads or no one logs in within half a year), and one person and multiple terminals of a team lack technical prevention measures. Thus, changes are urgently required.
Disclosure of Invention
The invention aims to solve the problems and provides a mobile operation terminal system based on a cloud platform.
In order to achieve the purpose, the invention adopts the following technical scheme:
a mobile operation terminal system based on a cloud platform comprises the cloud platform, and an application architecture, a technical architecture, a data architecture, a software architecture and face recognition based on the cloud platform;
the application architecture is composed of a PC port and an APP port, and the data of the PC end and the APP end are fused and communicated;
the PC port comprises four parts of mobile terminal asset life cycle management, mobile application safety management, professional management and control, an interface and data interaction; the APP end is developed for the second time on the basis of the existing MIP system and comprises five parts, namely a safe operation container, data safe transmission, application use condition information acquisition, terminal use condition information acquisition and terminal self information acquisition.
In the mobile operation terminal system based on the cloud platform, the technical architecture is composed of a network service layer, a basic resource layer, a service resource layer and a data resource layer;
a network service layer: providing network service based on an information intranet, and providing basic service for communication between a server and a terminal and transmission of data and information;
base resource layer: basic resource service, storage resources, cloud resource management, servers and container resources are provided through a cloud platform, and basic service is provided for mobile operation terminals and application standardized management application operation;
service resource layer: various middleware and common service components are fully utilized, and service implementation such as service logic processing, data sharing and the like is provided for enterprise-level application according to the requirement of micro-service architecture design;
the data resource layer by layer: the service application mainly comprises data storage, data calculation and data access.
In the mobile operation terminal system based on the cloud platform, the data architecture is composed of an offline data stream and an online data query;
the offline data flow mainly collects and calculates non-real-time data, leads in service data according to a certain frequency through batch synchronization, and processes the data as required through a buffer area, an ODS (color sorting system) unified view area, a data warehouse layer and a data mart layer in a data warehouse;
online data queries provide online access to real-time data, business detail data, and calculation result data, including RDS relational data queries.
In the mobile operation terminal system based on the cloud platform, the software mechanism is composed of a presentation layer, a business service interface layer, a business logic layer and a database access layer;
a presentation layer: the layer is directly oriented to the user, shows the content to be shown to the user and completes the interaction function with the user;
service interface layer: the layer is responsible for receiving the service request of the interface layer and finishing the service function response to the presentation layer by calling the service logic layer;
and a service logic layer: the layer is responsible for completing specific application functions, is service-oriented and is distributed in a componentized mode;
database access layer: this layer is responsible for completing the persistence operation of the data.
In the mobile operation terminal system based on the cloud platform, the face recognition is composed of an acquisition layer, a data layer, a supporting layer and an application layer;
an acquisition layer: acquiring various acquisition modes of basic image data required for developing face recognition for a mobile operation terminal management tool, wherein the acquisition modes mainly comprise acquiring employee photos from a company employee library and carrying out face acquisition on site;
and (3) a data layer: the system comprises three databases, namely a photo library, a basic template library and an index library; the photo library is photos collected in various ways; the basic template library is a portrait identification comparison basic template library corresponding to the photo library; the index library is an important bridge between the application and the feature library, and establishes indexes between each photo library and the basic feature library according to the personnel information so as to provide data sharing for intelligent identification comparison application of the personnel of various police; establishing corresponding service feature library indexes according to different police service requirements, reducing the identification comparison range and improving the identification comparison efficiency;
a support layer: dividing face modeling and face recognition comparison, wherein the face modeling is used for positioning and extracting face data from a static picture and face recognition, modeling and locally analyzing the face data, extracting corresponding face features and further performing structural processing on the local features; the face recognition comparison is responsible for completing the functions of comparing the characteristics of the acquired face image with the face image in the database and retrieving the face image;
an application layer: the face recognition related application is a face recognition related application of a mobile operation terminal management tool.
The invention has the following advantages:
the invention is based on the cloud platform, preliminarily establishes a set of management application based on the mobile operation terminal, realizes terminal standardized management, and has operability and practicability. The management level of the terminal is improved, the overall scheme for improving the mobile application requirements is improved, the abnormal use condition can be managed and controlled, and the technical prevention measures are improved.
The invention changes the current situation of low utilization rate by the software and hardware adaptive algorithm, effectively improves the utilization rate of assets, lightens the burden of teams and groups, provides a safe and reliable data transmission channel and data protection measures for the mobile operation terminal and the application, and reduces the safety risk.
Drawings
FIG. 1 is a schematic diagram of an application architecture of the present invention;
FIG. 2 is a schematic diagram of the technical architecture of the present invention;
FIG. 3 is a diagram of a data architecture according to the present invention;
FIG. 4 is a diagram of a software architecture according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
A mobile operation terminal system based on a cloud platform comprises the cloud platform, and an application architecture, a technical architecture, a data architecture, a software architecture and face recognition based on the cloud platform.
Referring to fig. 1, the application architecture is composed of two parts, a PC port and an APP port, and data fusion and intercommunication is performed between the PC end and the APP end.
The PC port comprises four parts of mobile terminal asset life cycle management, mobile application safety management, professional management and control, an interface and data interaction; the APP end is developed for the second time on the basis of the existing MIP system and comprises five parts, namely a safe operation container, data safe transmission, application use condition information acquisition, terminal use condition information acquisition and terminal self information acquisition.
The current situation of low utilization rate is changed by the software and hardware adaptive algorithm, the utilization rate of assets is effectively improved, the burden of teams and groups is reduced, a safe and reliable data transmission channel and data protection measures are provided for the mobile operation terminal and the application, and the safety risk is reduced.
Referring to fig. 2, the technical architecture is composed of a network service layer, a base resource layer, a service resource layer, and a data resource layer.
A network service layer: and the network service based on the information intranet is provided, and basic service is provided for communication between the server and the terminal and transmission of data and information.
Base resource layer: basic resource service, storage resources, cloud resource management, servers and container resources are provided through the cloud platform, and the basic service is provided for mobile operation terminals and application standardized management application operation.
Service resource layer: various middleware and common service components are fully utilized, and service implementation such as service logic processing, data sharing and the like is provided for enterprise-level application according to the requirements of micro-service architecture design.
The data resource layer by layer: the service application mainly comprises data storage, data calculation and data access.
Referring to fig. 3, the data architecture is composed of two parts, an offline data flow and an online data query;
the off-line data flow mainly collects and calculates non-real-time data, leads in service data according to a certain frequency through batch synchronization, and processes the data as required in a data warehouse through a buffer area, an ODS (oxide dispersion strengthened) unified view area, a Data Warehouse (DW) layer and a Data Mart (DM) layer;
online data queries provide online access to real-time data, business detail data, and calculation result data, including RDS relational data queries.
Referring to fig. 4, the software mechanism is composed of a presentation layer, a service interface layer, a service logic layer and a database access layer;
a presentation layer: the layer is directly oriented to the user, shows the content to be shown to the user and completes the interaction function with the user;
service interface layer: the layer is responsible for receiving the service request of the interface layer and finishing the service function response to the presentation layer by calling the service logic layer;
and a service logic layer: the layer is responsible for completing specific application functions, is service-oriented and is distributed in a componentized mode;
database access layer: this layer is responsible for completing the persistence operation of the data.
The face recognition is composed of a collection layer, a data layer, a support layer and an application layer;
an acquisition layer: acquiring various acquisition modes of basic image data required for developing face recognition for a mobile operation terminal management tool, wherein the acquisition modes mainly comprise acquiring employee photos from a company employee library and carrying out face acquisition on site;
and (3) a data layer: the system comprises three databases, namely a photo library, a basic template library and an index library; the photo library is photos collected in various ways; the basic template library is a portrait identification comparison basic template library corresponding to the photo library; the index library is an important bridge between the application and the feature library, and establishes indexes between each photo library and the basic feature library according to the personnel information so as to provide data sharing for intelligent identification comparison application of the personnel of various police; establishing corresponding service feature library indexes according to different police service requirements, reducing the identification comparison range and improving the identification comparison efficiency;
a support layer: dividing face modeling and face recognition comparison, wherein the face modeling is used for positioning and extracting face data from a static picture and face recognition, modeling and locally analyzing the face data, extracting corresponding face features and further performing structural processing on the local features; the face recognition comparison is responsible for completing the functions of comparing the characteristics of the acquired face image with the face image in the database and retrieving the face image.
An application layer: the face recognition related application is a face recognition related application of a mobile operation terminal management tool.
The application of the face recognition technology in the world is becoming mature, and the face recognition technology meets the project requirements by 'recognizing people with appearances' and the characteristics of simple operation, visual result, good concealment and the like. Aiming at the current situation of 'one person with multiple terminals' in the current power enterprise, the face of a terminal user is registered in the application and is bound with the mobile terminal in the application, and the mobile terminal user realizes quick identity recognition by adopting a face recognition mode, so that the aim of 'one person with one terminal' is fulfilled.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A mobile operation terminal system based on a cloud platform is characterized by comprising the cloud platform, an application architecture, a technical architecture, a data architecture, a software architecture and face recognition based on the cloud platform;
the application architecture is composed of a PC port and an APP port, and the data of the PC end and the APP end are fused and communicated;
the PC port comprises four parts of mobile terminal asset life cycle management, mobile application safety management, professional management and control, an interface and data interaction; the APP end is developed for the second time on the basis of the existing MIP system and comprises five parts, namely a safe operation container, data safe transmission, application use condition information acquisition, terminal use condition information acquisition and terminal self information acquisition.
2. The cloud platform-based mobile operation terminal system according to claim 1, wherein the technical architecture is composed of a network service layer, a basic resource layer, a service resource layer and a data resource layer;
a network service layer: providing network service based on an information intranet, and providing basic service for communication between a server and a terminal and transmission of data and information;
base resource layer: basic resource service, storage resources, cloud resource management, servers and container resources are provided through a cloud platform, and basic service is provided for mobile operation terminals and application standardized management application operation;
service resource layer: various middleware and common service components are fully utilized, and service implementation such as service logic processing, data sharing and the like is provided for enterprise-level application according to the requirement of micro-service architecture design;
the data resource layer by layer: the service application mainly comprises data storage, data calculation and data access.
3. The cloud platform-based mobile operation terminal system according to claim 1, wherein the data architecture is composed of two parts, namely an offline data flow and an online data query;
the offline data flow mainly collects and calculates non-real-time data, leads in service data according to a certain frequency through batch synchronization, and processes the data as required through a buffer area, an ODS (color sorting system) unified view area, a data warehouse layer and a data mart layer in a data warehouse;
online data queries provide online access to real-time data, business detail data, and calculation result data, including RDS relational data queries.
4. The cloud platform-based mobile operation terminal system according to claim 1, wherein the software mechanism is composed of a presentation layer, a business service interface layer, a business logic layer and a database access layer;
a presentation layer: the layer is directly oriented to the user, shows the content to be shown to the user and completes the interaction function with the user;
service interface layer: the layer is responsible for receiving the service request of the interface layer and finishing the service function response to the presentation layer by calling the service logic layer;
and a service logic layer: the layer is responsible for completing specific application functions, is service-oriented and is distributed in a componentized mode;
database access layer: this layer is responsible for completing the persistence operation of the data.
5. The cloud platform-based mobile operation terminal system according to claim 1, wherein the face recognition is composed of an acquisition layer, a data layer, a support layer, and an application layer;
an acquisition layer: acquiring various acquisition modes of basic image data required for developing face recognition for a mobile operation terminal management tool, wherein the acquisition modes mainly comprise acquiring employee photos from a company employee library and carrying out face acquisition on site;
and (3) a data layer: the system comprises three databases, namely a photo library, a basic template library and an index library; the photo library is photos collected in various ways; the basic template library is a portrait identification comparison basic template library corresponding to the photo library; the index library is an important bridge between the application and the feature library, and establishes indexes between each photo library and the basic feature library according to the personnel information so as to provide data sharing for intelligent identification comparison application of the personnel of various police; establishing corresponding service feature library indexes according to different police service requirements, reducing the identification comparison range and improving the identification comparison efficiency;
a support layer: dividing face modeling and face recognition comparison, wherein the face modeling is used for positioning and extracting face data from a static picture and face recognition, modeling and locally analyzing the face data, extracting corresponding face features and further performing structural processing on the local features; the face recognition comparison is responsible for completing the functions of comparing the characteristics of the acquired face image with the face image in the database and retrieving the face image;
an application layer: the face recognition related application is a face recognition related application of a mobile operation terminal management tool.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113810417A (en) * | 2021-09-17 | 2021-12-17 | 广州科天视畅信息科技有限公司 | IOT-based production full-process real-time interaction method |
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