CN203858773U - Comprehensive practical training platform based on intelligent recognition technology - Google Patents
Comprehensive practical training platform based on intelligent recognition technology Download PDFInfo
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- CN203858773U CN203858773U CN201420259731.3U CN201420259731U CN203858773U CN 203858773 U CN203858773 U CN 203858773U CN 201420259731 U CN201420259731 U CN 201420259731U CN 203858773 U CN203858773 U CN 203858773U
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- 238000004891 communication Methods 0.000 claims abstract description 41
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Abstract
The utility model relates to a comprehensive practical training platform based on the intelligent recognition technology, and the platform is disposed in a small and exquisite portable experiment box. The platform comprises a comprehensive-module main control unit, a single-chip microcomputer module, a wireless communication module, an ARM-Cortex A8 embedded system module, an LF RFID intelligent recognition module, an HF RFID intelligent recognition module, a UHF RFID intelligent recognition module, a one-dimensional/two-dimensional code intelligent-recognition module, and a northern-hemisphere 2GNSS positioning module. The platform employs the FPGA technology to dispatch and control various types of hardware resources flexibly and conveniently, is wide in technical width and depth, aims at the teaching the majors of IOT application technology and the application technology of embedded software and mobile Internet, and provides strong support for the cultivating and teaching of innovation capability of a student.
Description
Technical field
The utility model relates to research and teaching experimental provision technical field, especially a kind of intelligent identification technology comprehensive training platform.
Background technology
Along with development and the application of electronic information technology, intelligent identification technology has been widely used in different field, especially the RFID technology based on LF/HF/UHF different frequent points such as industry, business, military affairs and one dimension code/Quick Response Code scanning technique is exhibited one's skill to the full especially in application.About weary old the stating of training platform of intelligent identification technology, mostly adopt the form of large-scale experiment platform at present, have following shortcoming:
1, experiment table is bulky, the complexity such as teaching, maintenance, and for the more occasion of number of students (as 30 are more than student), teaching environment is wayward, and teaching efficiency is vulnerable to impact.
2, experiment table technology integrated level is low, technique drill resource not in, be difficult to meet general ability teaching to intelligent identification technology and impart knowledge to students with integration capability.
3, owing to cannot regularly moving, therefore cannot meet the requirement that student trains whenever and wherever possible, also cannot meet the training of the integrated project such as development of Mobile Internet technology, sensor network technology.
Although therefore the related technological side of intelligent identification technology comprehensive experiment table is wider, lack the technology degree of depth, technology degree of depth training resource deficiency for the training of single technology.
Utility model content
The technical problems to be solved in the utility model is: provide a kind of portable, based on ARM-Cortex A8 processor, integrated LF, HF, UHF and one dimension code/Quick Response Code intelligent identification technology, for the comprehensive training platform of the relevant specialities such as Internet of Things application technology, embedded software technology and development of Mobile Internet technology, portable construction, technology integrated level is high, is convenient to teaching environment control and management.
The utility model solves the technical scheme that its technical matters adopts: a kind of intelligent identification technology comprehensive training platform, comprise base plate, be installed on comprehensive module and the enclosure group on base plate by connected structure, described comprehensive module comprises comprehensive module main control unit, described comprehensive module main control unit is connected with one-chip computer module by standard communication interface, wireless communication module, ARM-Cortex A8 embedded system module, LF RFID intelligent identification module, UHF RFID intelligent identification module, one dimension code/Quick Response Code intelligent identification module, Big Dipper 2GNSS locating module, power module, experimental project is selected module, RTC module, 5 key board modules, 1206 LCDs, 4 LED luminotrons, serial communication interface and temperature/humidity/illuminance sensor module, in described comprehensive module main control unit, there is FPGA device able to programme, described experimental project selects module to select different training programs by FPGA device able to programme.
Enclosure group described in the utility model comprises power supply adaptor, Altera programmable chip debugger, TI wireless chip debugger and USB cable.
Crystal oscillating circuit, reset circuit and DLL (dynamic link library) that one-chip computer module described in the utility model comprises cpu chip and is connected with cpu chip; Antenna, crystal oscillating circuit and DLL (dynamic link library) that described wireless communication module comprises cpu chip and is connected with cpu chip; Described ARM-Cortex A8 embedded system module comprises processor core core module; Described processor core core module is connected with HDMI display interface, TFT LCDs, Ethernet interface, audio interface, USB interface, SD card interface, QWERTY keyboard module, cmos camera module, WiFi communication module and GSM/3G/LTE communication module; Described LF RFID intelligent identification module comprises the interconnective processing nucleus module of LF RFID and LF aerial coil; Described HF RFID intelligent identification module comprises HF RFID process chip and HF PCB antenna and crystal oscillating circuit with HF RFID process chip; Described UHF RFID intelligent identification module comprises that interconnective UHF RFID processes nucleus module and UHF ceramic antenna; Described one dimension code/Quick Response Code intelligent identification module comprises one dimension code/Quick Response Code processing nucleus module; Described one dimension code/Quick Response Code is processed nucleus module and is connected with triggering button, reset key and information ring circuit; Described Big Dipper 2GNSS locating module comprises the Big Dipper 2 localization process nucleus modules, and the described Big Dipper 2 localization process nucleus modules are connected with big-dipper satellite antennal interface; Described experimental project selects module to have two 16 rotary coding switch, comprises 256 kinds of different circuit forms.
One-chip computer module described in the utility model, wireless communication module, three kinds of modules of ARM-Cortex A8 embedded system module are all to walk abreast and serial interface mode accesses comprehensive module main control unit; LF RFID intelligent identification module, UHF RFID intelligent identification module, one dimension code/Quick Response Code intelligent identification module, Big Dipper 2GNSS locating module, serial communication interface all access comprehensive module main control unit with RS232 or its Transistor-Transistor Logic level mode; HF RFID intelligent identification module accesses comprehensive module main control unit in the mode of SPI universal serial bus; Experimental project selects module, 1206 LCDs, 4 LED luminotrons to access comprehensive module main control unit with parallel mode; RTC module, temperature/humidity/illuminance sensor module are with I
2the mode of C bus accesses comprehensive module main control unit.
Cpu chip in one-chip computer module described in the utility model is STC89LE516RD chip; Cpu chip in described wireless communication module is CC2530 chip; The processor core module model of described ARM-Cortex A8 embedded system module is S5PV210; It is CYK125 that the LF RFID of described LF RFID intelligent identification module processes nucleus module model; The model of the HF RFID process chip of described HF RFID intelligent identification module is CLRC632; It is JR2010 that the UHF RFID of described UHF RFID intelligent identification module processes nucleus module model; The model of described one dimension code/Quick Response Code intelligent identification module is EM3000; The Big Dipper 2 localization process nucleus module models of described Big Dipper 2GNSS locating module are UM220; It is R9316R0S that described experimental project is selected the model of module.
The beneficial effects of the utility model are:
1, contained the training resource of multiple intelligent identification technology, relate to multi-door course, there is certain technology range, support student's each different technologies aspect in intelligent identification technology field, but carry out both can be basic, the also project training of comprehensive, course level necessarily, there is good range technique drill resource.
2, three large backbone technologies of intelligent identification technology have been combined, be LF/HF/UHF RFID technology, one dimension code/Quick Response Code scanning recognition technology and image recognition technology, therefore can support simulation training reality, that there is stronger comprehensive mega project, there is good degree of depth technique drill resource.
3, mainly adopt the version of base plate and plug-in card, can increase or adjust various training topics and content by redesigning all kinds of plug-in cards, there is high opening and extendability, the possibility of various innovations is also provided for student's technique drill simultaneously.
4, experimental box volume is small and exquisite, be easy to carry, student in classroom, the place such as dormitory, library can use, and expanded the time and space of student training.
5, training program is more, technical feature excellence, and low price, has high cost performance.
Brief description of the drawings
Below in conjunction with drawings and Examples, the utility model is further illustrated.
Fig. 1 is structured flowchart of the present utility model;
Fig. 2 is the comprehensive module composition diagram in Fig. 1.
Embodiment
With preferred embodiment, the utility model is described in further detail by reference to the accompanying drawings now.These accompanying drawings are the schematic diagram of simplification, and basic structure of the present utility model is only described in a schematic way, and therefore it only shows the formation relevant with the utility model.
As shown in Figure 1, a kind of intelligent identification technology comprehensive training platform has comprised comprehensive module 1 and enclosure group 2, enclosure group 2 has comprised a power supply adaptor, an Altera programmable chip debugger, a TI wireless chip debugger, a USB cable, power supply adaptor output direct current 24V/20W, wall-hanging is installed.
The composition of comprehensive module 1 as shown in Figure 2, comprise comprehensive module main control unit 101, one-chip computer module 102, wireless communication module 103, ARM-Cortex A8 embedded system module 104, LF RFID intelligent identification module 105, HF RFID intelligent identification module 106, UHF RFID intelligent identification module 107, one dimension code/Quick Response Code intelligent identification module 108, Big Dipper 2GNSS locating module 109, power module 110, experimental project is selected module 111, RTC module 112, 5 key board modules 113, 1206 LCDs 114, 4 LED luminotrons 115, serial communication interface 116, temperature humidity illuminance sensor module 117 modular units such as grade.
The unified power supply that provides of power module 110 is all provided all circuit in comprehensive module 1, by the unified connection of processing between other each modular units of comprehensive module main control unit 101, wherein, one-chip computer module 102, wireless communication module 103, 104 3 kinds of modules of ARM-Cortex A8 embedded system module are all to walk abreast and serial interface mode accesses comprehensive module main control unit 101, LF RFID intelligent identification module 105, UHF RFID intelligent identification module 107, one dimension code/Quick Response Code intelligent identification module 108, Big Dipper 2GNSS locating module 109, serial communication interface 116 all accesses comprehensive module main control unit 101 with RS232 or its Transistor-Transistor Logic level mode, HF RFID intelligent identification module 10 accesses comprehensive module main control unit 101 in the mode of SPI universal serial bus.Experimental project selects 115 of 114,4 LED luminotrons of module 111,1206 LCDs to access comprehensive module main control unit 101 with parallel mode, illuminance sensor in RTC module 112, temperature humidity illuminance sensor module 117 accesses comprehensive module main control unit 101 in the mode of I2C bus, and the Temperature Humidity Sensor in temperature humidity illuminance sensor module 117 accesses comprehensive module main control unit 101 in the mode of class I2C bus.
Experimental project selects module 111 that two 16 rotary coding switch are provided, can select altogether 256 kinds of different circuit forms, by the circuit design to the interior FPGA device able to programme of comprehensive module main control unit 101, according to the needs of different training programs, can design different circuit to meet project training needs.
Below eight kinds of modules such as one-chip computer module 102, wireless communication module 103, ARM-Cortex A8 embedded system module 104, LF RFID intelligent identification module 105, HF RFID intelligent identification module 106, UHF RFID intelligent identification module 107, one dimension code/Quick Response Code intelligent identification module 108, Big Dipper 2GNSS locating module 109 are done to implementation method explanation.
The composition of one-chip computer module 102 has comprised cpu chip, crystal oscillating circuit, reset circuit and DLL (dynamic link library).Wherein cpu chip has adopted STC89LE516RD chip.
Wireless communication module 103 comprises wireless singlechip, antenna, crystal oscillating circuit, DLL (dynamic link library).What wherein wireless singlechip adopted is the CC2530 chip of TI company.
ARM-Cortex A8 embedded system module 104 comprises processor core core module, WiFi communication module, GSM/3G/LTE communication module, cmos camera module, QWERTY keyboard module, HDMI interface, TFT LCDs screen, Ethernet interface, audio interface, USB interface, SD card interface.Processor core core module adopts Samsung's host CPU, and concrete model is S5PV210.
LF RFID intelligent identification module 105 has comprised LF RFID and has processed nucleus module, LF aerial coil.It is CYK125 that LF RFID processes the concrete model of nucleus module.
HF RFID intelligent identification module 106 has comprised HF RFID process chip, HF PCB antenna and crystal oscillating circuit.HF RFID process chip adopts the family chip of PHILIPS company, and concrete model is CLRC632.
UHF RFID intelligent identification module 107 has comprised UHF RFID and has processed nucleus module, UHF ceramic antenna.It is JR2010 that UHF RFID processes the concrete model of nucleus module.
One dimension code/Quick Response Code intelligent identification module 108 has comprised one dimension code/Quick Response Code and has processed nucleus module, triggers button, reset key, information ring circuit.It is EM3000 that one dimension code/Quick Response Code is processed the concrete model of nucleus module
Big Dipper 2GNSS locating module 109 has comprised the Big Dipper 2 localization process nucleus modules, satellite antenna interface.The concrete model of the Big Dipper 2 localization process nucleus module is UM220.
The course that this platform can be supported and experimental real-training project are as follows:
1, " short-distance wireless communication and wireless network basis " course
Project 1 is set up development environment
Project 2 GPIO use
Project 3 interrupts using
Project 4 system clock source choice for uses
Project 5 32KHz oscillators use
Project 6 power manageds use
Project 7 sleep timers use
Project 8 WatchDog Timers use
Project 9 serial communications use
The simple wireless receiving and dispatching application of project 10
Project 11 error rate test application
Project 12 Z-Stack point-to-point communication application
Project 13 Z-Stack radial network communication applications
Project 14 Z-Stack tree network communication applications
Project 15 Z-Stack MESH net communication applications
Project 16 Z-Stack Zigbee PRO communication applications
2, " RFID technology and application " course
Project 1 LH rfid card data read
Project 2 ISO14443A card data read and store experiment
Project 3 ISO14443B card data read and store experiment
Project 4 UHF rfid card power dispatching experiments
Project 5 UHF rfid card data read and store experiment
Project 6 one dimension code/Quick Response Code data read
Project 7 image recognition experiments
3, " single-chip microcomputer application technology " course
Project 1 is set up development environment
Project 2 interrupts using
Project 3 timers use
Project 4 asynchronous serial communications use
The single lamp flicker of project 5 project
Project 68 lamp flicker running lamp projects
Project 7 eight segment numeral pipe display items display
Project 8 keyboard scan control projects
Project 9 LCD control experiment
Project 100 is with interior arithmetic counter
Project 11 single-chip microcomputers and computer serial communication
Project 12 single-chip microcomputer point-to-point serial communications
Project 13 single-chip microcomputer multiple spot serial communications
Project 14 I2C interface ADC analog acquisitions
Project 15 SPI interface illuminance gather
The design of project 16 green house of vegetables temperature and humidity control systems
4, " embedded system application technology "
The foundation of project 1 IAR development environment
Project 2 interrupts using
Project 3 timers use
The single lamp flicker of project 4 project
Project 54 lamp flicker running lamp projects
Project 6 keyboard scan control projects
Project 7 TFT LCDs Control experiments
Project 80 is with interior arithmetic counter
Project 9 Communication in embedded system tests
Project 10 ADC analog measurements
Project 11 USB interface are used
Project 12 SD card data storages with read in
Project 13 Ethernet interface application
Project 14 audio collections and broadcasting application
Project 15 MP3 designs
Project 16 I2C interface ADC analog acquisitions
Project 17 SPI interface HF rfid card data storages with read
Project 18 asynchronous serial communication interface application
Project 19 GPRS wireless communication technology application
Project 20 WiFi radio network technique application
Project 21 wireless sense network gateway system designs
5, " Android operating system " course
6, " Java language Courses of Program Designing
7, " EDA technology and project training " course
Project 1 is set up development environment
Project 2 three people's voting machine schematic diagram hardware design
Project 3 reversible cycle color lamp controller schematic diagram hardware design
Project 4 three people's voting machine VHDL hardware design
Project 5 reversible cycle color lamp controller VHDL hardware design
Project 6 keyboard scan control project VHDL hardware design
Project 7 unibus temperature, humidity collection system VHDL hardware design
The design VHDL hardware design of project 8 green house of vegetables temperature and humidity control systems
8, " Internet of Things comprehensive practical traning " course
Project 1 environmental information wireless data acquisition system
Project 2 Intelligent logistics information management systems
Project 3 green house of vegetables Temperature and Humidity Control system ensembles
Project 4 intelligent domestic systems
Project 5 intelligent queue systems
Project 6 gate inhibition's locking systems
Project 7 Park Information Management System
Project 8 HF RFID attendance checking systems
The attendance checking system of project 9 based on recognition of face
9, " sensing network installation and debugging " course
Project 1 high-frequency RF ID reader device installation and debugging experiment
The installation and debugging experiment of project 2 ZigBee wireless sense network route nodes
Project 3 ZigBee wireless sense network Properties Testing experiments
Project 4 networking wireless sensing measuring system experiments
What in above instructions, describe is embodiment of the present utility model, various not illustrating is construed as limiting flesh and blood of the present utility model, person of an ordinary skill in the technical field read after instructions can to before described embodiment make an amendment or be out of shape, and do not deviate from essence and the scope of utility model.
Claims (5)
1. an intelligent identification technology comprehensive training platform, is characterized in that: comprise base plate, be installed on comprehensive module and the enclosure group on base plate by connected structure, described comprehensive module comprises comprehensive module main control unit, described comprehensive module main control unit is connected with one-chip computer module by standard communication interface, wireless communication module, ARM-Cortex A8 embedded system module, LF RFID intelligent identification module, UHF RFID intelligent identification module, one dimension code/Quick Response Code intelligent identification module, Big Dipper 2GNSS locating module, power module, experimental project is selected module, RTC module, 5 key board modules, 1206 LCDs, 4 LED luminotrons, serial communication interface and temperature/humidity/illuminance sensor module, in described comprehensive module main control unit, there is FPGA device able to programme, described experimental project selects module to select different training programs by FPGA device able to programme.
2. a kind of intelligent identification technology comprehensive training platform as claimed in claim 1, is characterized in that: described enclosure group comprises power supply adaptor, Altera programmable chip debugger, TI wireless chip debugger and USB cable.
3. a kind of intelligent identification technology comprehensive training platform as claimed in claim 1, is characterized in that: crystal oscillating circuit, reset circuit and DLL (dynamic link library) that described one-chip computer module comprises cpu chip and is connected with cpu chip; Antenna, crystal oscillating circuit and DLL (dynamic link library) that described wireless communication module comprises cpu chip and is connected with cpu chip; Described ARM-Cortex A8 embedded system module comprises processor core core module; Described processor core core module is connected with HDMI display interface, TFT LCDs, Ethernet interface, audio interface, USB interface, SD card interface, QWERTY keyboard module, cmos camera module, WiFi communication module and GSM/3G/LTE communication module; Described LF RFID intelligent identification module comprises the interconnective processing nucleus module of LF RFID and LF aerial coil; Described HF RFID intelligent identification module comprises HF RFID process chip and HF PCB antenna and crystal oscillating circuit with HF RFID process chip; Described UHF RFID intelligent identification module comprises that interconnective UHF RFID processes nucleus module and UHF ceramic antenna; Described one dimension code/Quick Response Code intelligent identification module comprises one dimension code/Quick Response Code processing nucleus module; Described one dimension code/Quick Response Code is processed nucleus module and is connected with triggering button, reset key and information ring circuit; Described Big Dipper 2GNSS locating module comprises the Big Dipper 2 localization process nucleus modules, and the described Big Dipper 2 localization process nucleus modules are connected with big-dipper satellite antennal interface; Described experimental project selects module to have two 16 rotary coding switch, comprises 256 kinds of different circuit forms.
4. a kind of intelligent identification technology comprehensive training platform as claimed in claim 1, is characterized in that: described one-chip computer module, wireless communication module, three kinds of modules of ARM-Cortex A8 embedded system module are all to walk abreast and serial interface mode accesses comprehensive module main control unit; LF RFID intelligent identification module, UHF RFID intelligent identification module, one dimension code/Quick Response Code intelligent identification module, Big Dipper 2GNSS locating module, serial communication interface all access comprehensive module main control unit with RS232 or its Transistor-Transistor Logic level mode; HF RFID intelligent identification module accesses comprehensive module main control unit in the mode of SPI universal serial bus; Experimental project selects module, 1206 LCDs, 4 LED luminotrons to access comprehensive module main control unit with parallel mode; RTC module, temperature/humidity/illuminance sensor module access comprehensive module main control unit in the mode of I2C bus.
5. a kind of intelligent identification technology comprehensive training platform as claimed in claim 3, is characterized in that: the cpu chip in described one-chip computer module is STC89LE516RD chip; Cpu chip in described wireless communication module is CC2530 chip; The processor core module model of described ARM-Cortex A8 embedded system module is S5PV210; It is CYK125 that the LF RFID of described LF RFID intelligent identification module processes nucleus module model; The model of the HF RFID process chip of described HF RFID intelligent identification module is CLRC632; It is JR2010 that the UHF RFID of described UHF RFID intelligent identification module processes nucleus module model; The model of described one dimension code/Quick Response Code intelligent identification module is EM3000; The Big Dipper 2 localization process nucleus module models of described Big Dipper 2GNSS locating module are UM220; It is R9316R0S that described experimental project is selected the model of module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327941A (en) * | 2016-10-18 | 2017-01-11 | 西安工程大学 | Modularization communication experimental facility supporting various communication modes |
| CN106409116A (en) * | 2016-10-25 | 2017-02-15 | 江西师范大学 | RFID teaching demonstration device and method |
| CN109523848A (en) * | 2018-12-12 | 2019-03-26 | 珠海城市职业技术学院 | Artificial intelligence technology instructional device |
| CN111371550A (en) * | 2020-03-11 | 2020-07-03 | 北京红亚华宇科技有限公司 | Data security code box, experiment method and system |
-
2014
- 2014-05-20 CN CN201420259731.3U patent/CN203858773U/en not_active Expired - Lifetime
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327941A (en) * | 2016-10-18 | 2017-01-11 | 西安工程大学 | Modularization communication experimental facility supporting various communication modes |
| CN106409116A (en) * | 2016-10-25 | 2017-02-15 | 江西师范大学 | RFID teaching demonstration device and method |
| CN109523848A (en) * | 2018-12-12 | 2019-03-26 | 珠海城市职业技术学院 | Artificial intelligence technology instructional device |
| CN111371550A (en) * | 2020-03-11 | 2020-07-03 | 北京红亚华宇科技有限公司 | Data security code box, experiment method and system |
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