CN114358645A - Visual intelligent comprehensive business processing system based on Internet of things - Google Patents

Abstract

The invention belongs to the technical field of intelligent business processing, and particularly relates to a visual intelligent comprehensive business processing system based on the Internet of things; the application layer comprises an enterprise application module, an industrial control application module and an intelligent control application module which are matched with each other; the configuration layer is provided with an application model, a data model and a visual configuration tool module; the application model is correspondingly matched with a plurality of modules in the application layer; the application model and the data model are matched with each other; the visual configuration tool module is respectively matched with the application model and the data model; the big data service layer is provided with a database storage unit and also comprises a data storage and forwarding service module, a control signaling forwarding service module and a big data analysis module. The model can be used for rapidly carrying out informationized construction, reducing the informationized time, cost, manpower and later-stage operation and maintenance expenditure, and realizing high expansibility and multi-platform compatible implementation and application by virtue of layered design.

Description

Visual intelligent comprehensive business processing system based on Internet of things

Technical Field

The invention relates to a visual intelligent comprehensive business processing system based on the Internet of things, and belongs to the technical field of intelligent business processing.

Background

At present, under the guidance of national innovative policies, the informatization pace of each industry is accelerated, and various enterprises, industries, security and protection and internet systems and platforms are applied to various industries like bamboo shoots in spring after rain, but the systems have the characteristics of specificity, customization and independence, which seriously hinder the development of information industry, and simultaneously increase unnecessary investment and repeated construction for informatization of each enterprise, bring investment of unnecessary personnel and posts to influence the operation efficiency for informatization management, the development platforms and development tools used by each system are different, bring heavy burden to operation and maintenance and function expansion of later-stage systems, and more importantly, similar industrial software platforms are always mastered in foreign enterprises, and bring certain risk to informatization safety of domestic enterprises.

At present, the informationization construction of each industry generally adopts the mode of purchasing a formed product or finding an outsourcing company to develop an informationized software platform, but along with the development of enterprises or public institutions, the development of the enterprises or public institutions faces the possibility that the function requirement is upgraded and the system function is expanded, the formed product is particularly limited and has the problem of version control, the original product cannot be effectively upgraded due to the upgrading of software hardware after a plurality of years, and if the informationized software is outsourced, the difficulty of searching the research and development of a team again exists.

Based on the dilemma of application Information systems of various industries, system platform companies at home and abroad research and develop visual development tools special for a certain industry to realize later-stage self-function expansion of the system through personnel training aiming at the problems, a representative platform is a Windows Control Center (WinCC) of siemens company or a Building Information Model (BIM) system which is popular in China, but the window Control platform only aims at the use of a specific industry, for example, the WinCC only aims at the production line Control of the industrial production manufacturing industry, the BIM only aims at the Control of the construction processes of pipelines, pipelines and the like, most of software only can run in a Windows operating system, and challenges are brought to the expansibility and the safety of the application platform.

Because of the large demand of each industry on the visualization system, in addition to solving the problem of human-computer interaction, the greatest intention is to define the functions of the system or the platform by the way of visualization, namely, the acquisition, but still has many limitations, which are expressed as follows:

01. the existing visualization tool is specific to the industry, has too high requirements on configuration personnel and low universality,

02. the existing visualization tool only carries out directional development aiming at one operating system platform, has the defect of weak cross-platform capability,

03. the existing visualization tool is developed by adopting a specific development tool, the development tool has strong closure and copyright disputes,

04. existing visualization tools are more typically run in a stand-alone or local area network environment,

05. existing visualization tools do not provide or provide limited third party data information;

06. the existing visualization tool is only a deployment tool for a specific industry and does not have high expansibility.

Disclosure of Invention

Aiming at solving the problems of the defects and the shortcomings of the prior art; the invention aims to provide a visual intelligent integrated service processing system based on the Internet of things, which is a comprehensive model invented by summarizing an information system for the existing informatization and intelligent development of a human society, can quickly carry out informatization construction, reduce the time, cost, manpower and later-stage operation and maintenance expenditure of informatization, and can realize high expansibility and self characteristics through hierarchical design to realize multi-platform compatible implementation and application.

In order to achieve the purpose, the invention adopts the technical scheme that: the system comprises an application layer, a configuration layer and a big data service layer;

the application layer comprises an enterprise application module, an industrial control application module and an intelligent control application module which are matched with each other;

the configuration layer is provided with an application model, a data model and a visual configuration tool module; the application model is correspondingly matched with a plurality of modules in the application layer; the application model and the data model are matched with each other; the visual configuration tool module is respectively matched with the application model and the data model;

the big data service layer is provided with a database storage unit and also comprises a data storage and forwarding service module, a control signaling forwarding service module and a big data analysis module which are matched with the database storage unit;

preferably, the configuration layer is provided with a data editing component, a statistical chart component, an equipment control component, a pipeline component, an industrial control communication component, an intelligent image analysis component, an intelligent voice recognition component and a GIS map component; the eight components are matched with the application model and the data model.

Preferably, the activation of each component in the configuration layer corresponds to a model reference parameter of the application model, and the corresponding component is activated when the parameter is within a specified range value.

Preferably, the configuration system parameter unit in the configuration layer is matched with the cloud storage parameter, the communication parameter and the model reference parameter.

Preferably, the configuration layer further comprises a system authority module, and the system authority module is used for setting and selecting parameters.

Preferably, after the visual configuration tool module is matched with the application model and the data model, the corresponding application layer unit is activated through the activation model.

Preferably, the data editing component corresponds to an editing frame in the system; the statistical chart component corresponds to a statistical chart in the system; the pipeline assembly corresponds to the pipeline drawing in the system; the industrial control communication component corresponds to an industrial control communication signaling in the system; the intelligent image analysis component corresponds to image acquisition in the system; the intelligent voice recognition component corresponds to system voice collection; and the GIS map component corresponds to a GIS map in the system.

Preferably, the data editing component, the statistical chart component, the pipeline component, the industrial control communication component, the intelligent image analysis component, the intelligent voice recognition component and the GIS map component configure the visual configuration tool module 2 through data analysis of the data model under the cooperation of the equipment control component.

The operation flow of the visual intelligent integrated service processing system based on the Internet of things is as follows:

s1, enter into the start program

S2 model mounting platform

S3, configuring system parameters, and configuring model library selection by combining cloud storage parameters, communication parameters and model reference parameters through system authority management;

s4, if the cloud storage parameters, the communication parameters and the model reference parameters cannot be met, entering a configuration model;

s41, configuring model element object parameters through an editing frame corresponding to the data editing component, a statistical chart corresponding to the statistical chart component, a pipeline drawing corresponding to the pipeline component, an industrial control communication signaling corresponding to the industrial control communication component, an image acquisition corresponding to the intelligent image analysis component, a voice acquisition corresponding to the intelligent voice recognition component and a GIS map corresponding to the GIS map component when configuring the model;

s42, storing the user-defined model through visual configuration layout after the model element object parameter configuration is completed;

s5, if the cloud storage parameters, the communication parameters and the model reference parameters are all met, automatically selecting a model;

after confirming the model S6, S42 and S5, the model activation stage can be entered;

s7, after the model is activated, the system starts to operate

S71, combining the big data service layer and the application layer, the system operates intelligently;

s72, combining the big data service layer and the application layer, the system operates under human-computer interaction;

and S8, finishing the operation after the operation is finished.

The invention mainly solves the following technical problems:

(01) the model innovation research and development are realized through open source codes on the basis of an open platform;

(02) performing compatibility test aiming at the current popular operating system platform to realize the operation of a cross-platform model system;

(03) the centralized management of multi-industry service models is realized through a system architecture, and the unified management of platform service flow, control flow and data flow is realized by applying a big data technology;

(04) the system realizes the fusion of enterprise management, industrial control, intelligent control, security management and the like through a model scheme, and realizes the implementation and operation of an enterprise informatization platform through user selection;

(05) the model system provides a visual configuration tool for the personalized configuration of the default service model, and can also reestablish a service model suitable for the model system to realize the implementation and operation of informatization;

(06) the model can select different visual human-computer operation interfaces through the performance adaptation of the operation platform terminal, and the diversification of terminal equipment is maximally adapted;

(07) the model provides diversified and configurable third-party information interaction interfaces according to the prior art, and provides convenience for information fusion between systems.

Drawings

To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention is described in detail by the following specific embodiments and the accompanying drawings.

FIG. 1 is a schematic diagram of the present invention;

FIG. 2 is a flow chart of the present invention;

FIG. 3 is a diagram of a water source heat pump water system in which the present invention is embodied;

description of reference numerals:

an application layer 1, a configuration layer 2 and a big data service layer 3;

an enterprise application module 11, an industrial control application module 12 and an intelligent control application module 13;

an application model 21, a data model 22, a visualization configuration tool module 23;

a data storage and forwarding service module 31, a control signaling forwarding service module 32, a big data analysis module 33, and a database storage unit 34;

data editing component 201, statistical chart component 202, equipment control component 203, pipeline component 204, industrial control communication component 205, intelligent image analysis component 206, intelligent voice recognition component 207, GIS map component 208.

Detailed Description

In order that the objects, aspects and advantages of the invention will become more apparent, the invention will be described by way of example only, and in connection with the accompanying drawings. It is to be understood that such description is merely illustrative and not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.

It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures and/or processing steps closely related to the scheme according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.

Referring to fig. 1-2, the following technical solutions are adopted in the present embodiment: the system comprises an application layer 1, a configuration layer 2 and a big data service layer 3; the application layer 1 comprises an enterprise application module 11, an industrial control application module 12 and an intelligent control application module 13 which are matched with each other; the configuration layer 2 is provided with an application model 21, a data model 22 and a visual configuration tool module 23; the application model 21 is correspondingly matched with a plurality of modules in the application layer 1; the application model 21 and the data model 22 cooperate with each other; the visual configuration tool module 23 is respectively matched with the application model 21 and the data model 22; the big data service layer 3 is provided with a database storage unit 34, the big data service layer 3 further comprises a data storage and forwarding service module 31, a control signaling forwarding service module 32 and a big data analysis module 33, and the data storage and forwarding service module 31, the control signaling forwarding service module 32 and the big data analysis module 33 are matched with the database storage unit 34;

the configuration layer 2 is provided with a data editing component 201, a statistical chart component 202, an equipment control component 203, a pipeline component 204, an industrial control communication component 205, an intelligent image analysis component 206, an intelligent voice recognition component 207 and a GIS map component 208; the eight components are all matched with the application model 21 and the data model 22.

In addition, the activation of each component in the configuration layer 2 corresponds to the model reference parameter of the application model 21, and the corresponding component is activated when the parameter is within the specified range value.

Further, the configuration system parameter unit in the configuration layer 2 is matched with the cloud storage parameter, the communication parameter and the model reference parameter.

Further, the configuration layer 2 further includes a system authority module, and the system authority module is used for setting and selecting parameters.

Further, after the visual configuration tool module 23 is matched with the application model 21 and the data model 22, the corresponding application layer unit is activated by the activation model.

In this embodiment, the data editing component 201 corresponds to an editing frame in the system; the statistical chart component 202 corresponds to a statistical chart in a system; the pipe component 204 corresponds to a pipe drawing in the system; the industrial control communication component 205 corresponds to an industrial control communication signaling in the system; the intelligent image analysis component 206 corresponds to image acquisition in the system; the intelligent voice recognition component 207 corresponds to system voice acquisition; the GIS map component 208 corresponds to a GIS map in the system.

In this embodiment, the data editing component 201, the statistical chart component 202, the pipeline component 204, the industrial control communication component 205, the intelligent image analysis component 206, the intelligent voice recognition component 207, and the GIS map component 208 configure the visual configuration tool module 23 through data analysis of the data model 22 under the cooperation of the device control component 203.

The operation flow of the visual intelligent integrated service processing system based on the internet of things in the specific embodiment is as follows:

s1, entering a starting program;

s2, installing a model platform;

s3, configuring system parameters, and configuring model library selection by combining cloud storage parameters, communication parameters and model reference parameters through system authority management;

s4, if the cloud storage parameters, the communication parameters and the model reference parameters cannot be met, entering a configuration model;

s41, configuring model element object parameters through an edit box corresponding to the data edit component 201, a statistical chart corresponding to the statistical chart component 202, a pipeline drawing corresponding to the pipeline component 204, an industrial control communication signaling corresponding to the industrial control communication component 205, an image acquisition corresponding to the intelligent image analysis component 206, a voice acquisition corresponding to the intelligent voice recognition component 207 and a GIS map corresponding to the GIS map component 208 during model configuration;

s42, storing the user-defined model through visual configuration layout after the model element object parameter configuration is completed;

s5, if the cloud storage parameters, the communication parameters and the model reference parameters are all met, automatically selecting a model;

s6, step S42, S5 can enter the stage of activating model after confirming the model;

s7, after the model is activated, the system starts to operate

S71, combining the big data service layer and the application layer, the system operates intelligently; the application layer comprises enterprise management, industrial control, intelligent security and the like;

s72, combining the big data service layer and the application layer, the system operates under human-computer interaction;

and S8, finishing the operation after the operation is finished.

As shown in fig. 3, when the embodiment is applied to a water source heat pump water system, the configuration layer includes an energy collection system, an energy promotion system and an energy release system, and a plurality of heat pump units can be monitored in real time under the action of a big data service layer.

The specific implementation mode provides multiple models for enterprise management, industrial control, intelligent control and the like, and system deployment is realized through visual configuration; compatible research, development and testing are carried out on the current popular operating system platform, and cross-platform operation is realized; research and development are carried out through an open source tool, so that later copyright disputes are solved, and the creative development in a real sense is realized;

in addition, the invention realizes a multi-data storage and inter-system information sharing mechanism and realizes the large data sharing operation based on cloud computing; a configurable information export or transmission mode is provided, so that data intercommunication with a third-party system or platform is facilitated; the model-based intelligent analysis function provides an AI control-based intelligent control function, and can be widely applied to the field of artificial intelligence or the intelligent control industry.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (9)

1. Visual intelligent integrated service processing system based on thing networking, its characterized in that: the system comprises an application layer (1), a configuration layer (2) and a big data service layer (3);

the application layer (1) comprises an enterprise application module (11), an industrial control application module (12) and an intelligent control application module (13), which are matched with each other;

the configuration layer (2) is provided with an application model (21), a data model (22) and a visual configuration tool module (23); the application model (21) is correspondingly matched with a plurality of modules in the application layer (1); the application model (21) and the data model (22) are matched with each other; the visual configuration tool module (23) is respectively matched with the application model (21) and the data model (22);

the big data service layer (3) is provided with a database storage unit (34), the big data service layer (3) further comprises a data storage and forwarding service module (31), a control signaling forwarding service module (32) and a big data analysis module (33), and the data storage and forwarding service module (31), the control signaling forwarding service module (32) and the big data analysis module (33) are matched with the database storage unit (34).

2. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 1, wherein: the configuration layer (2) is internally provided with a data editing component (201), a statistical chart component (202), an equipment control component (203), a pipeline component (204), an industrial control communication component (205), an intelligent image analysis component (206), an intelligent voice recognition component (207) and a GIS map component (208); the eight components are matched with an application model (21) and a data model (22) mutually.

3. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 1, wherein: the activation of each component in the configuration layer (2) corresponds to the model reference parameter of the application model (21), and the corresponding component is started when the parameter is within a specified range value.

4. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 1, wherein: and the configuration system parameter unit in the configuration layer (2) is matched with the cloud storage parameter, the communication parameter and the model reference parameter.

5. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 1, wherein: the configuration layer (2) also comprises a system authority module, and the system authority module is used for setting and selecting parameters.

6. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 1, wherein: and after the visual configuration tool module (23) is matched with the application model (21) and the data model (22), the corresponding application layer unit is activated by the activation model.

7. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 2, wherein: the data editing component (201) corresponds to an editing frame in the system; the statistical chart component (202) corresponds to a statistical chart in a system; the pipe component (204) corresponds to a pipe drawing in a system; the industrial control communication component (205) corresponds to industrial control communication signaling in the system; the intelligent image analysis component (206) corresponds to image acquisition in a system; the intelligent voice recognition component (207) corresponds to system voice collection; the GIS map component (208) corresponds to a GIS map in the system.

8. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 2, wherein: the data editing component (201), the statistical chart component (202), the pipeline component (204), the industrial control communication component (205), the intelligent image analysis component (206), the intelligent voice recognition component (207) and the GIS map component (208) configure the visual configuration tool module (23) through data analysis of the data model (22) under the cooperation of the equipment control component (203).

9. The visual intelligent integrated service processing system based on the internet of things as claimed in claim 2, wherein: the operation flow of the processing system is as follows:

s1, entering a starting program;

s2, installing a model platform;

s3, configuring system parameters, and configuring model library selection by combining cloud storage parameters, communication parameters and model reference parameters through system authority management;

s4, if the cloud storage parameters, the communication parameters and the model reference parameters cannot be met, entering a configuration model;

s41, configuring model element object parameters through an edit box corresponding to a data edit component (201), a statistical chart corresponding to a statistical chart component (202), a pipeline drawing corresponding to a pipeline component (204), an industrial control communication signaling corresponding to an industrial control communication component (205), an image acquisition corresponding to an intelligent image analysis component (206), a voice acquisition corresponding to an intelligent voice recognition component (207) and a GIS map corresponding to a GIS map component (208) during model configuration;

s42, storing the user-defined model through visual configuration layout after the model element object parameter configuration is completed;

s5, if the cloud storage parameters, the communication parameters and the model reference parameters are all met, automatically selecting a model;

after confirming the model S6, S42 and S5, the model activation stage can be entered;

s7, after the model is activated, the system starts to operate;

s71, combining the big data service layer and the application layer, the system operates intelligently; the application layer comprises enterprise management, industrial control, intelligent security and the like;

s72, combining the big data service layer and the application layer, the system operates under human-computer interaction;

and S8, finishing the operation after the operation is finished.

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