CN111724649A - Automatic component identification system of Internet of things teaching and training platform and application thereof - Google Patents
Automatic component identification system of Internet of things teaching and training platform and application thereof Download PDFInfo
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- CN111724649A CN111724649A CN202010710110.2A CN202010710110A CN111724649A CN 111724649 A CN111724649 A CN 111724649A CN 202010710110 A CN202010710110 A CN 202010710110A CN 111724649 A CN111724649 A CN 111724649A
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Abstract
The invention discloses an automatic identification system for a component of an Internet of things teaching practical training platform and application thereof, wherein an on-site monitoring module monitors a component interface of the Internet of things teaching practical training platform in real time, a component library management module is provided with a storage device, the storage device stores component characteristic information of the Internet of things teaching practical training platform, and the system is applied as follows: monitoring the level signal change of the component interface and recording the interface identification by the on-site monitoring module; sending a level signal to a type detection module, and determining whether to start a detection function or not by the type detection module; receiving the level signal of the component in place, starting voltage measurement, and transmitting the measured component voltage value to the microprocessor; the microprocessor compares the voltage value with the component data of the component library management module; transmitting the comparison result to a state management module through an electric signal; displaying the recognition result; the state of a newly accessed component does not need to be checked, the time of trainees is saved, the component information can be directly reflected, the information in the component management module can be updated in real time, and the training content is enriched.
Description
Technical Field
The invention belongs to the technical field of teaching and practical training platforms of the Internet of things, and particularly relates to an automatic component identification system of the teaching and practical training platform of the Internet of things and application of the automatic component identification system.
Background
The combination of the technology of the internet of things and the industry is the core driving force of the future competitive high-point and industry upgrading in the field of information industry, the concept of the internet of things is huge and rich, and a large number of existing professional technical categories and technical systems are covered. At present, in the process of physical operation training of the Internet of things, how to improve the occupational ability of trainees and train the practical ability, professional skills, diligence and rigorous practical work style of the trainees is closely connected with the improvement of training conditions and the innovation of a method.
In the market, the internet of things teaching practical training platform provided by the enterprises of the internet of things teaching practical training platform is in a relatively common stage. However, the components (such as various sensors and control devices) required by the internet of things teaching training platform generally have the following defects: the components are passively identified, namely after the components are connected into the Internet of things teaching practical training platform, the platform cannot automatically identify the components, and the practical training personnel subjectively identify the components and then carry out the Internet of things practical training experiment. The traditional mode causes inconvenience to a certain degree for the training of trainees, influences user experience and reduces training efficiency.
Disclosure of Invention
Aiming at the problems of the traditional Internet of things teaching and training platform, the system and the application thereof disclosed by the invention can timely and autonomously identify the components of the access platform, increase the convenience of user experience and improve the training efficiency. The invention relates to an automatic component identification system of an Internet of things teaching practical training platform, which comprises an in-situ monitoring module, a type detection module, a state management module and a component library management module, wherein the in-situ monitoring module can monitor a component interface of the Internet of things teaching practical training platform in real time, the component interface is a general purpose input/output (GPIO) interface, but interfaces of other standards have the functions of the invention and achieve the purpose, and the interfaces belong to the idea of the invention. The component library management module is provided with a storage device, the storage device stores component characteristic information of the internet of things teaching training platform, the storage device mainly refers to a hardware device applied to a system, but is an external storage device capable of realizing a storage function, and can also be understood as a storage device of the invention, such as a network disk, a cloud disk and the like.
Further, the on-site monitoring module monitors the GPIO interface in real time, and feeds back information to the type detection module through the transmission level signal. The level signal is "1" or "0" in binary. In general, a level of "1" represents one state and a level of "0" represents another state. For example, in the present invention, the in-place monitoring module monitors that a new component has been connected to the GPIO interface, that is, sends a "1" level signal to the type detecting module, where the sent signal further includes information of the interface location where the component that has just been connected to is located.
Further, the type detection module feeds back information to activate an ADC voltage measurement function, when the type detection module receives a level signal '1', and simultaneously obtains the position information of the component, namely, the ADC voltage measurement is determined to be started, after the voltage value of the component is measured, the unique ID of the component is inquired in the component library through the voltage value, after the ID of the component is inquired in the component library, the unique ID of the component is recorded, and the system component is informed of being correctly identified.
Further, the type detection module needs to have a function of comparing the ADC voltage measurement value with the component ID information recorded by the component library management module, for example, the type detection module includes a microprocessor, and the component feature information stored in the component library management module is ID data.
The aforementioned ID data is typically 4 bytes of shaping data.
Furthermore, the state management module also comprises a state indication component, the type detection module is connected with the state indication component, when the comparison result of the type detection module is 'yes', namely the newly accessed component is a component which stores information in the component library management module, the comparison result of the microprocessor is fed back to the state indication component through an electric signal, and the state indication component provides indication; when the comparison result is 'no', the state indicating part also provides an indication. Such a status indication means may be a common status indicator light, such as no or no newly accessed component, shown in "red"; when the result of the alignment is "yes", it is displayed as "green".
Further, the application of the automatic identification system for the components of the internet of things teaching training platform comprises the following steps:
s1: when the component is accessed to the GPIO interface, the on-site monitoring module monitors the level signal change of the component interface and records the interface identification;
s2: the on-site monitoring module sends a level signal to the type detection module, and the type detection module determines whether to start an ADC voltage detection function;
s3: the type detection module receives the level signal of the component in place, starts ADC voltage measurement according to the recorded interface identifier, and transmits the measured voltage value of the component to the microprocessor; the aforementioned interface identifier may be recorded in the shared memory.
S4: the microprocessor compares the voltage value with the component ID data of the component library management module to obtain a comparison result;
s5: transmitting the comparison result to a state management module through an electric signal;
s6: the state management module displays the identification result, and the display can be a transient display or a display state maintained for a long time.
When the monitoring module in place monitors that the subassembly separates from the kneck, monitoring module in place shows through transmission level signal direct control state indicating component, controls the different colour principles of pilot lamp through 2 GPIO mouths: microprocessor (like the singlechip) is connected to driver chip p9813 through 2 GPIO mouths, and driver chip is connected to the pilot lamp through 3 pins, through 1 GPIO output timing signal, 1 GPIO output data signal controls driver chip p9813, and the drive pilot lamp shows different colours, and green is that the subassembly is normal, and red is the subassembly trouble.
Compared with the prior art, the invention has the following beneficial effects:
1. the degree of automation is obviously increased, and trainees are not required to check the state of the newly accessed component;
2. the automatic detection function is provided, so that the time of the trainee can be greatly saved;
3. the component information can be directly reflected, the group training party can update the ID information in the component management module in real time, and the training content is enriched.
Drawings
In order to illustrate the invention more clearly, the drawings that are needed in the description of the embodiments will be briefly described below. It should be apparent that the drawings in the following description are merely descriptions of the embodiments of the present invention, and those skilled in the art can easily modify or change the names of the embodiments or implement the objects of the present invention by adopting conventional means without inventive exercise.
FIG. 1 is a block diagram of an automatic identification method for components.
FIG. 2 is a flow diagram of a method for automatic identification of components.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments, which are illustrative of the present invention and are not limited to the following embodiments, and fig. 1 shows a block diagram of an automatic component identification method, and fig. 2 shows a flowchart of an automatic component identification method.
Example 1
The embodiment discloses an automatic component identification system of an Internet of things teaching and training platform, which comprises an in-place monitoring module, a type detection module, a state management module and a component library management module, wherein the four modules are integrated on a circuit board through a logic structure of an integrated circuit, an STM32F103 processor can be adopted in the technical scheme of the invention, and the specific working principle is as follows:
the in-place monitoring module is accessed to the GPIO port of the slot position through the software logic monitoring component to judge the level of the slot position; the on-site monitoring module monitors a component interface of the Internet of things teaching training platform in real time;
the type detection module is an ADC voltage acquisition interface managed by software logic;
the module library management module is provided with a storage device, the storage device of the embodiment is the STM32F103, namely, the voltage value acquired by the ADC is compared with the module library stored on the FLASH of the STM32F103 through software logic;
the state management module is used for controlling the indicator light through 3 GPIO ports after the software logic receives whether the detection of the component is normal or not, the component characteristic information of the Internet of things teaching training platform is stored in the storage device, and the storage device mainly refers to hardware equipment applied to a system. The component library management module stores information of the Internet of things teaching training platform component, the information comprises ID data of various components, and the information is mainly used for comparing with a newly accessed component.
Further, the on-site monitoring module monitors the GPIO interface in real time, and feeds back information to the type detection module through the transmission level signal. The level signal is "1" or "0" in binary. In general, a level of "1" represents one state and a level of "0" represents another state. The method comprises the steps that an in-place monitoring module monitors that a new component is connected with a GPIO (general purpose input/output) interface, namely a level signal of '1' is sent to a type detection module, the sent signal also comprises information of the interface position where the component which is just connected is located, a slot position identification is stored in a memory, the type detection module directly obtains from the memory, memory data are directly obtained through defined variables, if the monitoring module monitors that the component is separated or does not have the component, an indicator light of a state management module is directly controlled to be 'red', and specifically different colors of the indicator light are controlled through 3 GPIO interfaces.
When the component is connected to the GPIO, the in-situ monitoring module sends a level signal '1' to the type detection module, and the type detection module determines to start ADC voltage measurement. As described in the above paragraph, when the type detection module receives the level signal "1" and at the same time obtains the position information of the component, i.e. decides to start the ADC voltage measurement, after measuring the voltage value of the component, it queries the component unique ID in the component library by the voltage value, after querying the component ID in the component library, records the unique ID of the component, and informs the system that the component has been correctly identified.
The type detection module needs to have a function of comparing ADC voltage measurement values with module ID information recorded by the module library management module, and in this embodiment, the microprocessor is the STM32F103 of the semiconductor by law, the module feature information stored in the module library management module is ID data, and the comparison is performed by the microprocessor, and the ID data is shaped data of 4 bytes.
In this embodiment, the status management module further includes a status indication component, which is a common status indication lamp, the type detection module is connected to the status indication lamp, when the comparison result of the microprocessor in the type detection module is yes, that is, the newly accessed component is a component in the component library management module, which has stored information, the comparison result of the microprocessor is fed back to the status indication lamp through an electric signal, and the status indication lamp provides an indication and displays the indication as green; when the comparison result is 'no', or when the signal fed back by the on-site monitoring module indicates that no component is connected, the status indicator lamp also provides an indication, and the indication is displayed as 'red'.
The embodiment is applied as an automatic component identification system of an internet of things teaching training platform, and the actual operation steps are as follows:
s1: when the component is accessed to the GPIO interface, the on-site monitoring module monitors the level signal change of the component interface and records the interface identification; when the in-place monitoring module does not monitor that the GPIO is connected to the component or the connected component information is not stored in the component library management module, the status indicator lamp is directly displayed in red.
S2: the on-site monitoring module sends a level signal to the type detection module, and the type detection module determines whether to start an ADC voltage detection function;
s3: the type detection module receives the level signal of the component in place, records the recorded interface identifier in the memory according to the recorded interface identifier, starts ADC voltage measurement and transmits the measured voltage value of the component to the microprocessor;
s4: the microprocessor compares the voltage value with the component ID data of the component library management module to obtain a comparison result;
s5: transmitting the comparison result to a state management module through an electric signal; if the comparison result is 'yes', the status indicator light jumps and maintains green, otherwise, the status indicator light is red.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the concept of the present invention, and these modifications and decorations should also be regarded as being within the protection scope of the present invention. Although the present invention has been described with reference to the above embodiments, it should be understood that the scope of the present invention is not limited thereto, and that various changes and modifications may be made by those skilled in the art without departing from the spirit and scope of the present invention.
Claims (7)
1. The utility model provides a real subassembly automatic identification system who instructs platform of thing networking teaching, its characterized in that, the system has subassembly information comparison function, including monitoring module, type detection module, state management module and component library management module in situ, monitoring module in situ can real-time supervision thing networking teaching instruct the subassembly interface of instructing platform, component library management module possess storage device, storage device in store the real subassembly characteristic information who instructs the platform of thing networking teaching.
2. The automatic identification system for the components of the practical training platform for teaching of the internet of things according to claim 1, wherein the component interface is a GPIO interface, the in-situ monitoring module monitors the GPIO interface in real time, and the in-situ monitoring module feeds back information to the type detection module by transmitting a level signal.
3. The automatic component identification system of the internet of things teaching and practical training platform as claimed in claim 1 or 2, wherein the type detection module feeds back information to activate the ADC voltage measurement function.
4. The system for automatically identifying the components of the internet of things teaching and practical training platform as claimed in claim 1, wherein the type detection module comprises a microprocessor, and the component characteristic information stored in the component library management module is ID data.
5. The automatic component identification system of the practical training platform for teaching of the internet of things according to claim 1, wherein the state management module comprises a state indication component, the type detection module is connected with the state indication component, and a comparison result of the microprocessor is fed back to the state indication component through an electric signal.
6. The automatic component identification system of the practical training platform for teaching of the internet of things according to claim 5, wherein the status indication component is an indicator lamp emitting light with different colors.
7. The application of the automatic component identification system of the Internet of things teaching practical training platform according to any one of claims 1, 2, 4, 5 or 6, comprises the following steps:
s1: monitoring the level signal change of the component interface and recording an interface identifier by an in-situ monitoring module;
s2: the on-site monitoring module sends a level signal to the type detection module, and the type detection module determines whether to start a detection function;
s3: the type detection module receives the level signal of the component in place, starts ADC voltage measurement and transmits the measured voltage value of the component to the microprocessor;
s4: the microprocessor compares the voltage value with the component ID data of the component library management module to obtain a comparison result;
s5: transmitting the comparison result to a state management module through an electric signal;
s6: and the state management module displays the identification result.
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| CN202010710110.2A CN111724649A (en) | 2020-07-22 | 2020-07-22 | Automatic component identification system of Internet of things teaching and training platform and application thereof |
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| EP2237188A1 (en) * | 2009-03-30 | 2010-10-06 | T.Med Gesellschaft Für Med. Systeme Mbh | Device with an electronic component and use of the device |
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