Surveying control network optimization design is related to standards, such as precision, reliability, sensitivity and the cost, and these standards are related closely to each other. A new method for surveying contro...Surveying control network optimization design is related to standards, such as precision, reliability, sensitivity and the cost, and these standards are related closely to each other. A new method for surveying control network simulation optimization design is proposed. This method is based on the inner reliability index of the observation values.展开更多
Soft-sensing is widely used in industrial applications. The traditional soft-sensing structure is open-loop without correction mechanism. If the working condition is changed or there is unknown disturbance, the foreca...Soft-sensing is widely used in industrial applications. The traditional soft-sensing structure is open-loop without correction mechanism. If the working condition is changed or there is unknown disturbance, the forecast result of soft-sensing model may be incorrect. In order to obtain accurate values, it is necessary to carry out online correction. In this paper, a semiclosed-loop framework (SLF) is proposed to establish a soft-sensing approach, which estimates the input variables in the next moment by a prediction model and calibrates the output variables by a compensation model. The experimental results show that the proposed method has better prediction accuracy and robustness than other open-loop models.展开更多
To minimize losses between harvest and retail display, a system is needed to track temperature and RH exposure of fresh produce and predict its quality at each step of the distribution chain. With accurate models, suc...To minimize losses between harvest and retail display, a system is needed to track temperature and RH exposure of fresh produce and predict its quality at each step of the distribution chain. With accurate models, such system could （1） identify problematic situations before losses occur; （2） become a management tool for decision makers; and （3） help quantify the real impact of individual inappropriate conditions. A project was initiated to develop models required for such a decision system. Because the data required to develop models were not available for most fruit and vegetables, a series of storage trials was planned for measuring changes in physiological and microbial quality, and development of physiological disorders and/or diseases, as a function of time, temperature and RH. To meet this objective, controlled environment mini-chambers were designed, built and instrumented for measuring the effect of traceable environmental conditions encountered during storage and transportation of fresh horticultural produce of similar size and shape as tomato. Detailed design and performance evaluation of these mini-chambers are presented.展开更多
This is a greenhouse ecological parameters measurement and control system, the system implements the data collection of field temperature, humidity and carbon dioxide by using the 1-wire bus network which consist of 1...This is a greenhouse ecological parameters measurement and control system, the system implements the data collection of field temperature, humidity and carbon dioxide by using the 1-wire bus network which consist of 1-wire bus temperature sensor, 1-wire bus humidity sensor, Analog-to-Digital Converter（ADC）, CO2 sensor and intelligent battery monitor.展开更多
文摘Surveying control network optimization design is related to standards, such as precision, reliability, sensitivity and the cost, and these standards are related closely to each other. A new method for surveying control network simulation optimization design is proposed. This method is based on the inner reliability index of the observation values.
基金Supported by the National Natural Science Foundation of China (60934007, 61074060, 61104078)the Research and Innovation Project of Shanghai Education Commission (11CXY08)the State Key Laboratory of Synthetical Automation forProcess Industries
文摘Soft-sensing is widely used in industrial applications. The traditional soft-sensing structure is open-loop without correction mechanism. If the working condition is changed or there is unknown disturbance, the forecast result of soft-sensing model may be incorrect. In order to obtain accurate values, it is necessary to carry out online correction. In this paper, a semiclosed-loop framework (SLF) is proposed to establish a soft-sensing approach, which estimates the input variables in the next moment by a prediction model and calibrates the output variables by a compensation model. The experimental results show that the proposed method has better prediction accuracy and robustness than other open-loop models.
文摘To minimize losses between harvest and retail display, a system is needed to track temperature and RH exposure of fresh produce and predict its quality at each step of the distribution chain. With accurate models, such system could （1） identify problematic situations before losses occur; （2） become a management tool for decision makers; and （3） help quantify the real impact of individual inappropriate conditions. A project was initiated to develop models required for such a decision system. Because the data required to develop models were not available for most fruit and vegetables, a series of storage trials was planned for measuring changes in physiological and microbial quality, and development of physiological disorders and/or diseases, as a function of time, temperature and RH. To meet this objective, controlled environment mini-chambers were designed, built and instrumented for measuring the effect of traceable environmental conditions encountered during storage and transportation of fresh horticultural produce of similar size and shape as tomato. Detailed design and performance evaluation of these mini-chambers are presented.
文摘This is a greenhouse ecological parameters measurement and control system, the system implements the data collection of field temperature, humidity and carbon dioxide by using the 1-wire bus network which consist of 1-wire bus temperature sensor, 1-wire bus humidity sensor, Analog-to-Digital Converter（ADC）, CO2 sensor and intelligent battery monitor.
