CN112349160A - Internet of things technology learning auxiliary system based on dynamic data flow - Google Patents
Internet of things technology learning auxiliary system based on dynamic data flow Download PDFInfo
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- CN112349160A CN112349160A CN202011257135.8A CN202011257135A CN112349160A CN 112349160 A CN112349160 A CN 112349160A CN 202011257135 A CN202011257135 A CN 202011257135A CN 112349160 A CN112349160 A CN 112349160A
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- 238000000034 method Methods 0.000 claims description 16
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- 238000007726 management method Methods 0.000 claims description 4
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/55—Education
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention belongs to the field of teaching of the Internet of things and discloses an Internet of things technology learning auxiliary system based on dynamic data flow. The system comprises an ordinary function realization part of the application system of the Internet of things, which is used for displaying each state item and actual data of the application system of the Internet of things; the Internet of things technology learning auxiliary part is used for displaying a data processing model of an Internet of things application system and a dynamic data stream corresponding to the state change of the Internet of things; and the common function realization part and the technology learning auxiliary part of the Internet of things are respectively displayed on two sides of the large visual data screen. The internet of things system, the data flow graph and the dynamic data flow are organically combined and displayed on a large visual data screen, a data processing model of the current internet of things system is visually seen through the data flow graph, the change condition of data in data processing is observed through the dynamic data flow, and the internet of things technology is more comprehensively learned and understood.
Description
Technical Field
The invention belongs to the field of teaching of the Internet of things, and particularly relates to an Internet of things technology learning auxiliary system based on dynamic data flow.
Background
The Internet of Things (The Internet of Things, IOT for short) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and to realize ubiquitous connection of objects and people through various possible network accesses, so as to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
The teaching system of the internet of things is a set of system which can help students to better understand and learn the technology of the internet of things, however, the traditional teaching system of the internet of things can only display the data of the system of the internet of things in large-screen display, and cannot visually see the data processing model for realizing the current system of the internet of things and the data change condition in the data processing model, so that the things provided for learners are limited to the surface understanding of the application system of the internet of things and cannot go deep into the actual technical level.
Disclosure of Invention
The invention aims to provide an Internet of things technology learning auxiliary system based on dynamic data flow, which can solve the problem that the Internet of things technology cannot be comprehensively learned due to the fact that a data processing model for realizing the current Internet of things system and the data change condition in data processing in the data processing model cannot be intuitively seen in the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
an internet of things technology learning auxiliary system based on dynamic data flow comprises:
the common function realization part of the application system of the Internet of things is used for displaying each state item and actual data of the application system of the Internet of things;
the Internet of things technology learning auxiliary part is used for displaying a data processing model of an Internet of things application system and a dynamic data stream corresponding to the state change of the Internet of things;
and the common function realization part and the technology learning auxiliary part of the Internet of things application system are respectively displayed on two sides of the large visual data screen.
Further, thing networking application system's data processing model includes equipment layer, edge layer, high in the clouds and user, the equipment layer includes sensor and controlled equipment, the edge layer includes data acquisition and edge layer equipment control, the high in the clouds includes system integrated management, data analysis and storage, the user includes data large-size screen and APP.
Further, the data processing model of the application system of the internet of things comprises a plurality of data processing processes, and the data processing processes comprise: the method comprises the steps of collecting data through Socket communication, analyzing according to a modbus protocol, filtering data, updating data, authenticating user operation authority, and calculating based on a rule base and current conditions.
Further, each status item of the internet of things application system comprises environment status information, equipment status information and alarm information.
Further, the presentation of the data stream includes data stream recording and data stream playing, and the presentation mode of the data stream is realized by setting the time period t1 of the data stream recording and the time period t2 of the data stream playing.
Further, the display modes of the data stream are divided into three types, including:
in the real-time mode, t1 and t2 are alternately carried out, the data flow, the state change and the state refresh are basically synchronous, and the data flow is automatically displayed;
the method comprises the following steps that an automatic demonstration mode, namely a default mode, t1 and t2 are configured in advance, the configuration time is 5-10 seconds, data streams are automatically displayed in a mode slower than the real-time mode, state refreshing and the data streams are synchronous, but the state refreshing and the data streams are delayed relative to the actual state change of an Internet of things application system, and in the period of t2, even if new state change occurs, new data streams are not recorded;
and in the interactive learning mode, a button is used for starting and ending t1, the learning auxiliary system records the changed data stream in real time during t1, the learning auxiliary system automatically enters t2 after t1 is ended, the data stream recorded in the t1 link is played in a stepping mode, stepping pause or continuation is controlled according to needs until the explanation or learning is ended, and the explanation or exit is performed again by clicking.
Further, the interactive learning mode decomposes the recorded data stream into a plurality of steps, each step comprising a single data processing node, which advances, retreats or ends in a stepwise manner.
Further, the data of the data stream is displayed on a large screen of visual data through a pop-up window.
Further, in the interactive learning mode, the display of the data stream is independent, not related to the state change-state refresh, and no new data stream is recorded during t 2.
The invention has the beneficial effects that:
1. the system and the method organically combine the IOT system, the data flow graph and the dynamic data flow for display, display a bottom processing model and a logic framework of the learned IOT application system for a learner through the data flow graph, help the student to understand the overall framework and the processing mechanism of the IOT application system according to the dynamic data flow, understand the difference and the relation of the static processing model and the dynamic data flow, understand the relation between the processing unit and other processing units, the processing unit and the system, and perform intuitive learning and understanding.
2. The invention helps learners to select according to learning conditions by changing three modes of data stream display, wherein the interactive learning mode can display data stream changes of the physical networking system in a stepping mode, and is convenient for teachers to explain and students to learn.
Drawings
Fig. 1 is a conceptual diagram of an internet of things technology learning auxiliary system based on dynamic data flow;
fig. 2 is a structure diagram of an internet of things application system of an internet of things technology learning auxiliary system based on dynamic data flow.
Detailed Description
The invention is further described with reference to the following figures and examples.
As shown in fig. 1-2, an internet of things technology learning auxiliary system based on dynamic data flow is composed of two organically combined parts, which are respectively displayed on two sides of a large visual data screen, and includes a function realization part of a common internet of things application system, which is used for displaying each state item and actual data of the internet of things application system; and the Internet of things technology learning auxiliary part displays a data processing model of the Internet of things application system and a dynamic data flow corresponding to the state change of the Internet of things through a data flow graph.
In the above-mentioned system, thing networking application system's data processing model includes but not limited to the equipment layer, the edge layer, high in the clouds and user side, the equipment layer includes the sensor, controlled equipment etc, the edge layer includes data acquisition, edge layer equipment control etc, the high in the clouds includes system integrated management, data analysis, the storage etc, the user side includes the big screen of data, APP etc, when carrying out thing networking technology study, the study auxiliary system shows the equipment layer of the thing networking application system of reality, the edge layer, the logic structure and the model of high in the clouds and user side are on the big screen of visual data with the form of data flow graph, make the more audio-visual thing networking application system's of study bottom processing model and logic framework of student.
On a large visual data screen, each state item of the Internet of things application system comprises environment state information, equipment state information, alarm information and the like.
In the learning auxiliary system, a data processing process of a data processing model in the application system of the internet of things is visually displayed, wherein the data processing process comprises but is not limited to data acquisition by Socket communication, analysis according to a modbus protocol, data filtering, data updating, user operation authority authentication and calculation based on a rule base and current conditions. The data processing process of the Internet of things application system is shown, the function of the rule base is visually known, and the specific algorithm and the processing skill of the corresponding processing unit are known by combining the specific data flow example.
When the internet of things application system detects the state change, the state change-state refreshing delay is required to be shortened as much as possible to be reflected in a large visual data screen in time, and in the system, the relationship between the data flow and the state change-state refreshing is considered by increasing the data flow. The system displays the data stream in a large visual data screen, the display of the data stream comprises data stream recording and data stream playing, and the display mode of the data stream is realized by setting a time period t1 for data stream recording and a time period t2 for data stream playing.
The display mode of the data stream is divided into three types, including:
in the real-time mode, t1 and t2 are short and are rapidly and alternately carried out, t1 and t2 belong to millisecond level, the data stream, the state change and the state refresh are basically synchronous, the real situation is reflected, the data stream is automatically displayed, the data stream display speed is high, and the data stream is not convenient to observe;
the method comprises the following steps that an automatic demonstration mode, namely a default mode, is preset at t1 and t2, the configuration time is 5-10 seconds, data streams are automatically displayed in a mode slower than the real-time mode speed, the viewing is convenient, the state refreshing and the data streams are synchronous, but the state refreshing and the data streams have a certain delay relative to the actual state change of an Internet of things application system, and new data streams are not recorded even if new state changes occur during the period of t 2;
and in the interactive learning mode, t1 is started and ended by buttons, during t1, a learner can operate the equipment, try to change environmental parameters, or only observe the system without any operation, the learning auxiliary system records the changed data stream in real time, the learning auxiliary system automatically enters t2 after t1 is ended, the data stream recorded in the t1 link is played in a stepping mode, and a speaker or the learner controls stepping pause or continuation as required until the explanation or learning is ended and clicks to explain again or quit.
The interactive learning mode decomposes the recorded data stream into multiple steps, each step comprises a single data processing node, and the data processing nodes advance, retreat or end in a stepping mode, are controlled by a learner or an interpreter, can watch the actual data of each data processing node, know the processing rule and understand the relationship among the data processing nodes. The observation and operation of the Internet of things system can be deeply and carefully compared with the actual data flow, so that the operation mechanism of the Internet of things system, the processing logic of data processing and the programming method of related application software can be better understood and learned.
In the interactive learning mode, the playing speed of the data stream is completely controlled by the learner, the corresponding data stream is observed by contrasting the operations during t1, the underlying principle and mechanism of the corresponding processing are learned, and the interrelation among the processing, the processing and the system is known. Also, in this mode, the display of the data stream is independent, not related to state change-state refresh. During t2, the new data stream is not recorded either.
When the internet of things system is studied, the data stream is displayed in a form of a pop-up box on a large visual data screen, and a teacher can conveniently explain data to the state change of the internet of things application system.
Claims (9)
1. An internet of things technology learning auxiliary system based on dynamic data flow is characterized by comprising:
the common function realization part of the application system of the Internet of things is used for displaying each state item and actual data of the application system of the Internet of things;
the Internet of things technology learning auxiliary part is used for displaying a data processing model of an Internet of things application system and a dynamic data stream corresponding to the state change of the Internet of things;
and the common function realization part and the technology learning auxiliary part of the Internet of things application system are respectively displayed on two sides of the large visual data screen.
2. The IOT (Internet of things) technology learning auxiliary system based on the dynamic data flow is characterized in that a data processing model of an IOT application system comprises a device layer, an edge layer, a cloud and a user side, wherein the device layer comprises a sensor and controlled equipment, the edge layer comprises data acquisition and edge layer equipment control, the cloud comprises system comprehensive management, data analysis and storage, and the user side comprises a data large screen and an APP.
3. The system of claim 2, wherein the data processing model of the IOT application system comprises a plurality of data processing procedures, and the data processing procedures comprise: the method comprises the steps of collecting data through Socket communication, analyzing according to a modbus protocol, filtering data, updating data, authenticating user operation authority, and calculating based on a rule base and current conditions.
4. The system of claim 1, wherein the status items of the IOT application system include environmental status information, device status information, and alarm information.
5. The learning aid system for internet of things based on dynamic data stream as claimed in claim 1, wherein the presentation of the data stream includes data stream recording and data stream playing, and the presentation mode of the data stream is implemented by setting a time period t1 for data stream recording and a time period t2 for data stream playing.
6. The system of claim 5, wherein the presentation patterns of the data stream are divided into three types, including:
in the real-time mode, t1 and t2 are alternately carried out, the data flow, the state change and the state refresh are basically synchronous, and the data flow is automatically displayed;
the method comprises the following steps that an automatic demonstration mode, namely a default mode, t1 and t2 are configured in advance, the configuration time is 5-10 seconds, data streams are automatically displayed in a mode slower than the real-time mode, state refreshing and the data streams are synchronous, but the state refreshing and the data streams are delayed relative to the actual state change of an Internet of things application system, and in the period of t2, even if new state change occurs, new data streams are not recorded;
and in the interactive learning mode, a button is used for starting and ending t1, the learning auxiliary system records the changed data stream in real time during t1, the learning auxiliary system automatically enters t2 after t1 is ended, the data stream recorded in the t1 link is played in a stepping mode, stepping pause or continuation is controlled according to needs until the explanation or learning is ended, and the explanation or exit is performed again by clicking.
7. The IOT (Internet of things) technology learning auxiliary system based on dynamic data flow as claimed in claim 6, wherein the interactive learning mode decomposes the recorded data flow into multiple steps, each step comprises a single data processing node, and the steps are advanced, retreated or ended in a stepping manner.
8. The system of claim 7, wherein the data of the data stream is displayed on a large screen of visual data through a pop-up window.
9. The IOT learning support system of claim 7, wherein in the interactive learning mode, the data stream is displayed independently, independent of the state change-state refresh, and no new data stream is recorded during t 2.
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