CN112987606B - Visual programming tool system based on artificial intelligence and Internet of things - Google Patents
Visual programming tool system based on artificial intelligence and Internet of things Download PDFInfo
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- CN112987606B CN112987606B CN202110089551.XA CN202110089551A CN112987606B CN 112987606 B CN112987606 B CN 112987606B CN 202110089551 A CN202110089551 A CN 202110089551A CN 112987606 B CN112987606 B CN 112987606B
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
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Abstract
The invention discloses a visual programming tool system based on artificial intelligence and the Internet of things, which comprises a logic unit block layout, a unit module, logic verification and running code generation, and is characterized in that the logic unit block layout comprises the following steps: a-1): running visio software, creating a new template, modifying the name of the template into a logic unit block layout, wherein the logic unit block layout is provided with a plurality of groups of independent component block diagrams in block distribution, each group of independent block diagrams are connected with each other, and nodes are arranged between each group of independent block diagrams to form a flow chart; a-2): in the using process, an artificial intelligence technology, an internet of things technology and an edge computing technology are combined, and a building block type visual programming mode based on node flow is adopted, so that the programming difficulty is reduced.
Description
Technical Field
The invention relates to the technical field of visual programming, in particular to a visual programming tool system based on artificial intelligence and the Internet of things.
Background
With The rapid development of science and technology, artificial intelligence and The technology of The Internet of Things (IOT for short) are rapidly improved, the Internet of Things (The Internet of Things) refers to The technology and devices such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and The like, and is used for collecting any object or process needing monitoring, connection and interaction in real time, collecting various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, position and The like, and realizing The ubiquitous connection of objects, objects and people through various possible network accesses, so as to realize The intelligent perception, identification and management of The objects and The process;
artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence, programming operation steps of each step in order to better utilize artificial intelligence and Internet of things technology and improve convenience, and for users who are learning artificial intelligence programming, the difficulty is high in the use process, so that a visual programming tool system based on artificial intelligence and Internet of things is provided for solving the problems.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a visual programming tool system based on artificial intelligence and the Internet of things.
In order to achieve the purpose, the invention adopts the following technical scheme:
a visual programming tool system based on artificial intelligence and the Internet of things comprises a logic unit block layout, unit modules, logic auditing and running code generation, wherein the logic unit block layout comprises the following steps:
a-1): running visio software, creating a new template, modifying the name of the template into a logic unit block layout, wherein the logic unit block layout is provided with a plurality of groups of independent component block diagrams in block distribution, each group of independent block diagrams are connected with each other, and nodes are arranged between each group of independent block diagrams to form a flow chart;
a-2): the unit modules are inserted inside the block diagram for each independent component.
The unit module comprises four parts of data acquisition, data preparation, data analysis, action optimization and application.
Preferably, the unit module includes the steps of:
b-1): the source data includes collecting various required information of sound, light, heat, electricity, mechanics, chemistry, biology and position, analyzing the motion track of human body, recording data information, transmitting and obtaining data information,
b-2): the data is initially processed, firstly, the stored data information is compressed, and then the recorded data is intensively stored;
b-3): analyzing the recorded information, analyzing invalid data information in the recorded information, clearing the invalid data information, marking each piece of valid data information, inputting a logic code, performing simulation training on each piece of data information, analyzing the invalid data information again, deleting the invalid data information in the data information, and finally performing concentrated compression storage on the trained data information;
b-4): and (3) solving the problem of the node between each independent block diagram, dividing answer data into two parts by judgment, solving the problem of the answer data again, planning an optimized algorithm, adjusting the connection position and connection relation of each node according to the optimized algorithm after the algorithm is adjusted, forming a tree-shaped connection diagram, and starting application.
The unit module further includes the steps of: and connecting the nodes according to the data information to form node connection.
Preferably, a network connection unit is inserted between the insertion unit module and the logic auditing module, and the network connection unit is debugged in network running state, where the network running state debugging step includes inputting a domain name, acquiring Body parameters, sending a connection request, and connecting with a network terminal.
Preferably, the logic auditing step includes the following steps:
c-1): reading all node connecting lines between the block diagrams from the unit modules, converting the block diagrams into directed graph vertexes, converting the node connecting lines into directed graph arcs, and generating an AOV network:
c-2): generating an activity diagram among the block diagrams according to the adjacent relation of the AOV network, and performing simulation operation;
c-3): reading the effectiveness of each group of simulated operation states:
c-4): and repeating the steps C-2 and C-3, judging the validity of each simulation running state, deleting invalid simulation running activities in the simulation running states, backtracking the steps B-1, B-2, B-3 and B-4, and performing the step C-2 again.
The running code generation comprises the following steps:
d-1): and after the running simulation is completed, automatically generating the C language by using a code generator.
The visual programming tool system based on artificial intelligence and the Internet of things has the beneficial effects that: the system adopts a visual programming mode, realizes that the design work of an interface can be completed through an intuitive operation mode, reduces the programming difficulty, enables primary and secondary school students who do not understand how to program to build an application scene of artificial intelligence, internet of things and edge calculation through a building block type visual programming mode based on node flow, enables users who are studying artificial intelligence programming to use computational power resources to carry out online programming development and artificial intelligence model training in the system, and is simple to operate;
in addition, based on artificial intelligence and the technology of the Internet of things, various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, position and the like is collected, and the ubiquitous connection between objects and people and the high intelligence in the using process is realized in a network access mode.
Drawings
Fig. 1 is an operation diagram of a visual programming tool system based on artificial intelligence and internet of things according to the present invention;
fig. 2 is an operation diagram of a data end of a visual programming tool system based on artificial intelligence and the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, are used in the orientations and positional relationships indicated in the drawings, which are based on the orientations and positional relationships indicated in the drawings, and are used for convenience of description and simplicity of description, but do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Referring to fig. 1-2, a visual programming tool system based on artificial intelligence and internet of things comprises a logic unit block layout, a unit module, logic auditing and running code generation, wherein the logic unit block layout comprises the following steps:
a-1): running visio software, creating a new template, modifying the name of the template into a logic unit block layout, wherein the logic unit block layout is provided with a plurality of groups of independent component block diagrams in block distribution, each group of independent block diagrams are connected with each other, and nodes are arranged between each group of independent block diagrams to form a flow chart;
a-2): the unit modules are inserted inside the block diagram for each independent component.
The unit module comprises four parts of data acquisition, data preparation, data analysis, action optimization and application.
The unit module includes the steps of:
b-1): the source data includes collecting various required information of sound, light, heat, electricity, mechanics, chemistry, biology and position, analyzing the motion track of human body, recording data information, transmitting and obtaining data information,
b-2): the method comprises the steps of firstly, performing primary processing preparation on data, compressing stored data information, and then performing centralized storage on recorded data;
b-3): analyzing the recorded information, analyzing invalid data information in the recorded information, clearing the invalid data information, marking each piece of valid data information, inputting a logic code, performing simulation training on each piece of data information, analyzing the invalid data information again, deleting the invalid data information in the invalid data information, and finally performing concentrated compression storage on the trained data information;
b-4): and (3) solving the problem of the node between each independent block diagram, dividing answer data into two parts by judgment, solving the problem of the answer data again, planning an optimized algorithm, adjusting the connection position and connection relation of each node according to the optimized algorithm after the algorithm is adjusted, forming a tree-shaped connection diagram, and starting application.
The unit module further includes the steps of: and connecting the nodes according to the data information to form node connection.
And inserting a network connection unit between the insertion unit module and the logic examination module, and debugging the network operation state of the network connection unit, wherein the network operation state debugging step comprises inputting a domain name, acquiring a Body parameter, sending a connection request, and connecting with a network terminal.
The logic auditing step comprises the following steps:
c-1): reading all node connecting lines between the block diagrams from the unit modules, converting the block diagrams into directed graph vertexes, converting the node connecting lines into directed graph arcs, and generating an AOV network:
c-2): generating an activity diagram among the block diagrams according to the adjacent relation of the AOV network, and performing simulation operation;
c-3): reading the effectiveness of each group of simulated operation states:
c-4): and repeating the steps C-2 and C-3, judging the validity of each simulation operation state, deleting invalid simulation operation activities in the simulation operation states, backtracking to the steps B-1, B-2, B-3 and B-4, and performing the step C-2 again.
The running code generation comprises the following steps:
d-1): and after the running simulation is completed, automatically generating the C language by using a code generator.
The system is provided with a data acquisition module which acquires various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, position and the like, realizes the ubiquitous connection of objects and people through various possible network accesses, realizes the intelligent perception, identification and management of objects and processes by utilizing the technology of Internet of things, analyzes, screens, marks and simulates data information, optimizes the data information and deploys scenes on an assembly framework;
in the programming process, different component block diagrams are arranged in each unit module, the component block diagrams are connected through node connecting lines to form a tree-shaped travel diagram, each component block diagram is audited through logic audit, and after the audit of each component block diagram is finished, the C language is automatically generated.
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 (3)
1. A visual programming tool system based on artificial intelligence and the Internet of things comprises a logic unit block layout module, a unit module, a logic auditing module and an operation code generating module, and is characterized in that the logic unit block layout module is used for executing the following steps:
a-1): running visio software, creating a new template, modifying the name of the template into a logic unit block layout, wherein the logic unit block layout is provided with a plurality of groups of independent component block diagrams in block distribution, each group of independent block diagrams are connected with each other, and nodes are arranged between each group of independent block diagrams to form a flow chart;
a-2): inserting a unit module into each independent component block diagram;
the unit module comprises four parts of data acquisition, data preparation, data analysis, action optimization and application, and is used for executing the following steps:
b-1): the data acquisition comprises the acquisition of sound, light, heat, electricity, mechanics, chemistry, biology and position information, the analysis of human body motion trail, the recording of data information, the transmission and the acquisition of data information,
b-2): the data is initially processed, firstly, the stored data information is compressed, and then the recorded data is intensively stored;
b-3): analyzing the recorded information, analyzing invalid data information in the recorded information, clearing the invalid data information, marking each piece of valid data information, inputting a logic code, performing simulation training on each piece of data information, analyzing the invalid data information again, deleting the invalid data information in the invalid data information, and finally performing concentrated compression storage on the trained data information;
b-4): the method comprises the steps of proposing a problem for a node between each independent block diagram, dividing answer data into two parts through judgment, proposing the problem for the answer data again, planning an optimized algorithm, starting to adjust the connection position and connection relation of each node according to the optimized algorithm after algorithm tuning is completed, forming a tree-shaped connection diagram, and starting application;
the unit module further comprises means for performing the steps of: each node is connected according to data information to form node connection;
the logic auditing module is used for executing the following steps:
c-1): reading all the node connecting lines between the block diagrams from the unit module, converting the block diagrams into directed graph vertexes, converting the node connecting lines into arcs of the directed graphs, and generating an AOV network:
c-2): generating an activity diagram among the block diagrams according to the adjacent relation of the AOV network, and performing simulation operation;
c-3): reading the effectiveness of each group of simulated operation states:
c-4): and repeating the steps C-2 and C-3, judging the validity of each simulation running state, deleting invalid simulation running activities in the simulation running states, backtracking the steps B-1, B-2, B-3 and B-4, and performing the step C-2 again.
2. The visual programming tool system based on artificial intelligence and the internet of things as claimed in claim 1, wherein a network connection unit is inserted between the insertion unit module and the logic auditing module, and the network connection unit is debugged for a network running state, wherein the network running state debugging step includes inputting a domain name, acquiring Body parameters, sending a connection request, and connecting with a network terminal.
3. The visual programming tool system based on artificial intelligence and internet of things according to claim 1, wherein the running code generation module is configured to perform the following steps:
d-1): and after the running simulation is completed, automatically generating the C language by using a code generator.
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| US7062718B2 (en) * | 2001-08-14 | 2006-06-13 | National Instruments Corporation | Configuration diagram which graphically displays program relationship |
| CN103823666B (en) * | 2013-11-05 | 2017-02-01 | 国电南瑞科技股份有限公司 | Smart substation equipment visualized programming method |
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