SIMILIN 2.0 is a simulator software of real fruit classification lines predicting mechanical bruises by probabilistic simulation techniques. Classification line simulator shows some specific aspects:
Bruises prediction logistic model: there is the possibility of setting new models using user specific data. An influential data control is performed, as well as the capacity of the prediction model established.
Characterisation statistical of individual fruit loads: this aspect is needed to realistically reproduce the potential damage to the product.
Flexibility in the design and modification of fruit handling lines: from some basic rules, the user is able to build up on the screen a new line, by choosing the elements from a data base.
Impacts data base: by an extensive use of electronic fruits in actual handling lines, we were able to build a data base that characterizes elements and transfers points.
Simulation and validation results: each model must be validated in advance by fruit sampling before and after its line handling.
Line improvements simulation: from a validated model is possible to check the effect of different improvements on classification lines, i.e. replacement of aggressive elements and transfer elements, on the level of damaged fruit.
Introduction of decision aid tools in the agricultural sector. In most installations fruit handling and dressing capacity reaches up to 15 t/h, therefore it is not practical to modify in situ without a previous knowledge of its feasibility. Simulation, as an alternative method to experimentation, is specially indicated in these situations. Simulation is based on the replacement of aleatory data from the real world by a sequence of events generated by a computer. When these events are really aleatory, simulation results are not distinguishable from reality.
SIMLIN 2.0 will permit the user to predict the product losses he will have, depending on line conditions and fruit species, variety and state. This kind of tool helps the user to know the actual aggressiveness degree of his machinery, in relation to the product and to his improvement needs.
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