![]() The network allowed a cab-mounted operator interface to communicate with each nozzle-based unit. A plurality of the microcontrollers were incorporated into a CAN bus network along the spray boom of an agricultural vehicle. The microprocessor was coupled to a network controller, allowing each nozzle sensor and microprocessor to operate as a distinct system but also be networked. Nozzle-specific algorithms were developed for air induction and conventional atomizers as typically found on agricultural sprayers. Gated sampling and sample-averaging algorithms were developed to aid in rejection of spurious signals, false detection of clogged or inoperative nozzles and failure of components. A microprocessor was coupled to the MEMS-based detector and sampled the The detector was embedded into commercial nozzle mounting hardware to allow simple retrofit onto existing spray systems and to facilitate introduction into the market. A prototype nozzle vibration detector was developed using low-cost MEMS technology. Experimental data confirmed that the predicted wavebands were indeed the predominant frequencies and were of sufficient magnitude for detection, even in noisy industrial environments. A theoretical analysis of the sheet break-up of aqueous solutions emitted from fan nozzles at typical operating flow rates and liquid pressures suggested that predominant frequencies would be in the 4 to 7 kHz band. The technique was based on measurement of the characteristic vibration produced by conventional agricultural, flat-fan nozzles. Progress 09/01/03 to 08/31/05 Outputs A system and method of remote monitoring of individual spray nozzles was developed and implemented on agricultural sprayers. System, individual nozzle control and monitoring (flow, pattern and droplet size quality) will provide a very reliable and high resolution precision spray system for agriculture. When the monitoring system is integrated into a blended-pulse flow control Proper operation of nozzle actuators such as pulsed flow control valves will also be monitored, and malfunctions will be reported to the operator. Individual nozzle monitors will be integrated into a central system for alerting the driver to malfunctions. Improper operation or malfunctions such as clogs or damaged nozzles will be sensed through a proprietary technique that is sensitive to liquid flowrate, spray pattern and droplet size quality. Improper operation can lead to expensive and wasteful respraying, excessive chemical use, environmental contamination or loss of crop productivity. Often, drivers cannot see all spray nozzles on a large boom or they may be fully engaged in driving a wide, fast-moving vehicle over rough terrain. Goals / Objectives The project addresses a long unsolved and increasingly important need in agrochemical applications, namely, the monitoring of proper spray nozzle operation. Since 1956, Raven has designed, produced, and delivered exceptional solutions, earning the company a reputation for innovation, product quality, high performance, and unmatched service. Raven is a leader in precision agriculture, high-performance specialty films, and lighter-than-air technologies. Raven Industries (NASDAQ:RAVN) is dedicated to providing innovative, high-value products and solutions that solve great challenges throughout the world. “We look forward to continuing to deliver our suite of solutions to the growing precision agriculture industry.” ![]() “Raven is pleased with the results of this settlement,” said Brian Meyer, Division Vice President and General Manager of Raven Applied Technology. The parties agreed to a mutually acceptable, no-fault business solution. SIOUX FALLS, S.D., Ma(GLOBE NEWSWIRE) - Raven Industries (NASDAQ:RAVN) announced today that the patent infringement lawsuit against the company and CNH Industrial brought by Capstan Ag Systems related to Raven’s Hawkeye® Nozzle Control System and CNH Industrial’s AIM Command FLEX™ sprayer system has been settled between the parties.
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