Development of a Computer Controlled Underbody Plow: TR412, Final Report, January 2006

Underbody plows can be very useful tools in winter maintenance, especially when compacted snow or hard ice must be removed from the roadway. By the application of significant down-force, and the use of an appropriate cutting edge angle, compacted snow and ice can be removed very effectively by such plows, with much greater efficiency than any other tool under those circumstances. However, the successful operation of an underbody plow requires considerable skill. If too little down pressure is applied to the plow, then it will not cut the ice or compacted snow. However, if too much force is applied, then either the cutting edge may gouge the road surface, causing significant damage often to both the road surface and the plow, or the plow may ride up on the cutting edge so that it is no longer controllable by the operator. Spinning of the truck in such situations is easily accomplished. Further, excessive down force will result in rapid wear of the cutting edge. Given this need for a high level of operator skill, the operation of an underbody plow is a candidate for automation. In order to successfully automate the operation of an underbody plow, a control system must be developed that follows a set of rules that represent appropriate operation of such a plow. These rules have been developed, based upon earlier work in which operational underbody plows were instrumented to determine the loading upon them (both vertical and horizontal) and the angle at which the blade was operating.These rules have been successfully coded into two different computer programs, both using the MatLab® software. In the first program, various load and angle inputs are analyzed to determine when, whether, and how they violate the rules of operation. This program is essentially deterministic in nature. In the second program, the Simulink® package in the MatLab® software system was used to implement these rules using fuzzy logic. Fuzzy logic essentially replaces a fixed and constant rule with one that varies in such a way as to improve operational control. The development of the fuzzy logic in this simulation was achieved simply by using appropriate routines in the computer software, rather than being developed directly. The results of the computer testing and simulation indicate that a fully automated, computer controlled underbody plow is indeed possible. The issue of whether the next steps toward full automation should be taken (and by whom) has also been considered, and the possibility of some sort of joint venture between a Department of Transportation and a vendor has been suggested.

Iowa Workforce, Today and Tomorrow, 2004

Demographic and employment information are used by economic developers, market researchers, counselors and curriculum developers for educational institutions, academic researchers, government planners, and private businesses. Occupational information on employment and wages also provides guidance for students making their first career choices and older workers considering a change of profession. In the last decade, Iowans have grown older and more diverse. The median age (2000) stood at 36.6 years, with 38 counties recording a median age of 40 or above. In the last decade, Hispanics accounted for a third of Iowa’s population growth. The most highly educated Iowans were Asians, with 43 percent earning a minimum of a bachelor’s degree. The Iowa labor force has been growing erratically since 1980, but still reached a record 1,663,000 in 2002 before inching downward. In the next 25 years, the labor force will see dramatic changes with the impending retirement of the baby boom generation and the influx of new immigrants and younger college-educated workers. While Iowa nonfarm employment declined by 7,000 workers during 2003, it did show improvement in the second half of the year. In a prosperous year, the Iowa economy generates an average of 2,500 jobs per month. This number was negative during the recession and has been below average this year. National economic events will continue to have a strong impact on Iowa job growth. Occupations requiring higher education are among the higher-paying Iowa jobs. Computer software engineers, computer support specialists, and customer service representatives are expected to be among the faster-growing occupations. Also, the aging population will bring opportunities for workers in healthcare. Occupations requiring higher education are among the higher-paying Iowa