![References
• [1] Shuang Bao, Hairong Yan, Qingping Chi, Zhibo Pang, and Yuying Sun, “FPGA-
Based Reconfigurable Data Acquisition System for Industrial Sensors”, IEEE
Transactions On Industrial Informatics, Vol. 13, No. 4, August 2017
• [2] A. Tisan and J. Chin, “An End-user Platform For FPGA-based Design And Rapid
Prototyping Of Feedforward Artificial Neural Networks With On-chip
Backpropagation Learning,” IEEE Trans. Ind. Informat., vol. 12, no. 3, pp. 1124–
1133, Jun. 2016.
• [3] Q. Chi, H. Yan, C. Zhang, Z. Pang, and L. D. Xu, “A Reconfigurable Smart
Sensor Interface For Industrial WSN In IoT Environment,” IEEE Trans. Ind.
Informat., vol. 10, no. 2, pp. 1417–1425, May 2014](https://image.slidesharecdn.com/fpgaacquisition-190519032620/85/Fpga-acquisition-29-320.jpg)
![Cont…
• [4] J. Mangala and J. Manikandan, “FPGA Implementation Of Reconfigurable
Modulation System,” in Proc. 2015 Int. Conf. Adv. Comput., Commun. Informat.,
Aug. 2015, pp. 493–500.
• [5] S. Agarwal, A. Rani, V. Singh and A. P. Mittal, "FPGA Based Wireless
Emergency Medical System for Developing Countries," 2015 Annual Global Online
Conference on Information and Computer Technology (GOCICT), Louisville, KY,
2015, pp. 80-84.
• [6] Z. Wang, Y. Yao, L. Chen, F. Li and G. Jin, "A reconfigurable ethernet-based
data acquisition and processing system for particle physics experiments," 2016
IEEE-NPSS Real Time Conference (RT), Padua, 2016, pp. 1-4.](https://image.slidesharecdn.com/fpgaacquisition-190519032620/85/Fpga-acquisition-30-320.jpg)
Fpga acquisition
- 1. http://aicra.ac.in Reconfigurable Sensor Data Acquisition Based on FPGA for Industrial Computerization Control Guided By, Presented By, Prof.Alex V Nishmi Suresh Dept. of ECE S3,06 M.Tech Embedded System
- 2. OVERVIEW INTRODUCTION WHAT IS DATAACQUISITION SYSTEM EVOLUTION OF DATAACQUISITION SYSTEM PROBLEMS IN DATAACQUISITION OBJECTIVE FPGA RECONFIGURATION TECHNOLOGY ARCHITECTURE IMPLEMENTATION ADVANTAGES OF FPGA RECONFIGURATION TECHNOLOGY CONCLUSION REFERENCES
- 3. PHASE I Reconfigurable Data Acquisition System & Architecture
- 4. Introduction Sensor data acquisition system is an essential part Variety of sensor producer causes the difficulty of protocol’s unity Requires the acquisition boards to be powered off when the number or types or manufacturer of sensors is changed is unreasonable Proposed to design a reconfigurable data acquisition system for industrial sensors using FPGA Both dynamic system reconfiguration and static system reconfiguration
- 5. What is Data Acquisition Process of measuring an electrical or physical phenomenon such as voltage, current, temperature, pressure, or sound with a computer. Consists of sensors, DAQ measurement hardware, and a computer with programmable software
- 6. Evolution of Data Acquisition System PC based Data Acquisition • Involves reading electrical signals into a computer from some form of sensor • Acquired data may have to be stored, printed or displayed • Analyzed or processed in some way in order to generate further signals for controlling external equipment • Using the PC for data acquisition and control is that there is now a large and expanding pool of programmers,engineers and scientists who are familiar with the PC
- 7. USB based Data Acquisition • USB DAQ devices deliver true high-performance measurements while benefiting from the simplicity and portability of USB. • They range from low-cost, single-function devices to high- performance modular systems • Ideal for a variety of applications from simple data logging to embedded OEM systems.
- 8. Microcontroller based Data Acquisition • Low cost user friendly data acquisition system based on 8051 family microcontroller • General purpose 8 bit ADC 0809 with 8 analogue inputs is used • Clock is derived from a simple NE555 circuit • DAS is designed for 5V DC input for full scale reading • The data transferred between microcontrollers based DAS and PC is in nibble (4 bit) mode • Data read by the controlling program is saved in computer files
- 9. Arduino based Data Acquisition • Arduino Microcontroller board is used which has inbuilt ADC and other peripheral circuitry necessary for operation. • The physical parameter is sensed by the sensors and is converted into analog signal. • This analog signal is fed to the Arduino board ADC pins which is then converted in to an equivalent digital quantity • Processed output is displayed on the LCD display or it’s saved in a database
- 10. Problems In Data Acquisition Real time performance Universality of configuration Universality of function Continuity of working 2 1 3 4
- 11. Universality of function . Data acquisition system tends to connect to a wide variety of sensors. Challenge for the universality of the system. Difficult to implement all the sensor protocols in a single system at the same time Universality of configuration Different functional units may use different sensor combinations. The download process will be very complex and easy to make mistakes When different configuration files are given for different units.
- 12. Continuity of working Replacing sensors is a basic requirement for industrial applications For instance, adding or reducing the number of sensors It is unreasonable to interrupt current work Power off the whole system in order to change a sensor. Real-time performance Industrial applications often require high real-time performance Traditional sensor reading cycle depends more on the embedded program skills.
- 13. Objective i. System is applied to a real time performance ii.FPGA is used as the core controller iii.Architecture is proposed which make the system to achieve a) Sensor protocol can switched at any time b) Acquisition board with different function can download with same configuration file c) Achieve switching sensor data function, without powering off the system
- 14. FPGA Reconfiguration Technology FPGA reconfiguration technology Static reconfiguration Dynamic reconfiguration Global Dynamic reconfiguration Partial Dynamic reconfiguration
- 15. Static Reconfiguration Global Dynamic Reconfiguration Partial Dynamic Reconfiguration Refers to powering off and reconfiguration FPGA with new configuration file to exchange the channels connecting relationship of switch matrix Allow reconfiguring the entire logic of FPGA without shutting down Allow reconfiguring specified logic blocks of FPGA while other parts in keep working without interruption Cont……
- 17. • Xilinx Virtex-4 FPGA is used as core controller • External sensors are connected to the system through peripheral circuits • Debugging software is running on the computer • System communicates through UART serial port • Sensor drivers, chip drivers and interface drivers are modules • Communication circuit, switch matrix circuit, ADC, SystemACE CF reconfigurable circuit, JTAG standard are peripheral circuits • Switch matrix is used for static reconfiguration Architecture Explanation
- 18. • SystemACE CF and JTAG are used for dynamic reconfiguration. • Analog and digital sensor driver are used to analyze and acquired analog and digital sensor data respectively • Both sensor data can be collected through MT8816 switch matrix • MT8816 driver is used to control channels’ connecting relationship in switch matrix. • Analog sensor data is sent to analog sensor driver after analog-to-digital conversion by ADS7870 • ADC driver is used to drive ADS7870 chip to achieve analog-to-digital conversion • Data of digital sensor can also be acquired by digital sensor driver through PMOD interface and RS485 communication port.
- 19. Static Reconfiguration Architecture • Sensor drivers and chip drivers in FPGA • ADC circuit and switch matrix circuit in peripheral circuit • Sensors are connected to FPGA through channels in MT8816 switch matrix • Analog sensor driver to generate valid sensor data from analog sensors • Static reconfiguration is achieved by controlling switch matrix
- 20. Global Dynamic Reconfiguration Architecture • SystemACE CF can be used for online reconfiguration of FPGA • Configuring FPGA via JTAG is also reserved • DIP switch is used to select configuration file stored in CF card • Button is designed for configuration reset • Configuration files corresponding to different sensor application can be stored or update into the CF card • Acquisition function can be changed without shutting off power
- 21. Partial Dynamic Reconfiguration Architecture • Full partial dynamic reconfigurable design consists of static logic and dynamic logic • Static logic is a necessary to ensure system running • UART module, MT8816 driver and ADC driver are designed as static logic module • Analog sensor driver and digital sensor driver are designed as dynamic logic module • All logic in static logic modules is not reconfigurable • Dynamic logic is able to be replaced • Achieve the dynamic change of sensor driver logic without affecting other parts’ working
- 23. Hardware Implementation • Xilinx Virtex-4 FPGA is used as core controller • External sensors are connected to the system through conditioning circuits. • FPGA changes switch matrix’s connection to make sensors’ signals after conditioned bridge to corresponding module in terms of signal type • For digital signals, they are connected to FPGA directly. • For analog signals, they are connected to ADC first, then to the FPGA • 8Mb SRAM is equipped in the system, parallel acquisition of multiple sensors data can used • The system can also send data to PC via serial port for further monitoring and analysis
- 24. Static Reconfiguration Implementation • Static reconfiguration in system is achieved by using MT8816 switch matrix • MT8816 is composed of three parts: address decoder, control data latch and an 8*16 analog switch array • Analog switch array is controlled by row address (AX) and column address (AY) • On-off state of the selected channel is determined by DATA input • Sensors can be changed without disassembling hardware equipment or changing hardware connection.
- 25. Global Dynamic Reconfiguration Implementation • Different situations of sensors’ usage correspond to different sensor drivers’ combinations respectively • Then correspond to different configuration files (.bit) respectively • Configuration files need to be converted to .ace files by iMPACT tool before stored in CF card • File Xilinx.sys and folder sensors_d (custom named) are generated by .bit files using iMPACT tool • Xilinx.sys is used to specify the configuration file path • And the 8 .ace files are stored in sensors_d folder • Select .ace files by changing DIP switch, reset FPGA by pushing button and check reconfiguration status from LEDs
- 26. Partial Dynamic Reconfiguration Implementation • Analog and digital sensor driver are designed as dynamic logic module • Bus macro is the communication channel • Connect between static logic module and reconfigurable module and vice versa • Bus macro located between modules is not only used to connect signals but also align signals before and after reconfiguration • Bus macro of Virtex series FPGA is based on slice structure • Achieve 8-bit data transmission in parallel
- 27. Advantages of FPGA Reconfiguration Technology Allow the FPGA hardware resources in a time multiplexed way Reduction of cost and power consumption System flexibility to cope with frequency change in the function of application Achieve system updating and maintaining online
- 28. Conclusion • FPGA-based reconfigurable data acquisition system for industrial sensors • System can achieve static reconfiguration through MT8816 switch matrix • Achieve the effect of multiple sensor data acquisition on a hardware board without disassembling hardware equipment or changing hardware connection • The system can also achieve global dynamic reconfiguration and partial dynamic reconfiguration through SystemACE CF technology • Dynamic reconfiguration method, the system can use FPGA chip’s logic resources in the way of time sharing • The system can change the sensor connecting in the system online.
- 29. References • [1] Shuang Bao, Hairong Yan, Qingping Chi, Zhibo Pang, and Yuying Sun, “FPGA- Based Reconfigurable Data Acquisition System for Industrial Sensors”, IEEE Transactions On Industrial Informatics, Vol. 13, No. 4, August 2017 • [2] A. Tisan and J. Chin, “An End-user Platform For FPGA-based Design And Rapid Prototyping Of Feedforward Artificial Neural Networks With On-chip Backpropagation Learning,” IEEE Trans. Ind. Informat., vol. 12, no. 3, pp. 1124– 1133, Jun. 2016. • [3] Q. Chi, H. Yan, C. Zhang, Z. Pang, and L. D. Xu, “A Reconfigurable Smart Sensor Interface For Industrial WSN In IoT Environment,” IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1417–1425, May 2014
- 30. Cont… • [4] J. Mangala and J. Manikandan, “FPGA Implementation Of Reconfigurable Modulation System,” in Proc. 2015 Int. Conf. Adv. Comput., Commun. Informat., Aug. 2015, pp. 493–500. • [5] S. Agarwal, A. Rani, V. Singh and A. P. Mittal, "FPGA Based Wireless Emergency Medical System for Developing Countries," 2015 Annual Global Online Conference on Information and Computer Technology (GOCICT), Louisville, KY, 2015, pp. 80-84. • [6] Z. Wang, Y. Yao, L. Chen, F. Li and G. Jin, "A reconfigurable ethernet-based data acquisition and processing system for particle physics experiments," 2016 IEEE-NPSS Real Time Conference (RT), Padua, 2016, pp. 1-4.