Q3181934 (Q3181934): Difference between revisions
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(Created claim: summary (P836): The project was born with the aim of developing a control electronics for a fruit and vegetable weighing machine integrated into a transport chain for its treatment. The weighing machine makes the selection from a sample of products in order to obtain a combination between them that meets a certain weight condition. In order to optimise the performance of the production chain, the weighinger electronics will apply machine learning algorithms tha...) |
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The project was born with the aim of developing a control electronics for a fruit and vegetable weighing machine integrated into a transport chain for its treatment. The weighing machine makes the selection from a sample of products in order to obtain a combination between them that meets a certain weight condition. In order to optimise the performance of the production chain, the weighinger electronics will apply machine learning algorithms that will affect the control and combinatorial processes of the machine in order to increase productivity and processing performance._x000D_ The weighing machine control system shall be automatically adjusted during the operation process by controlling the different performance variables from the search for the optimal operating point determined by maximum machine productivity. The automatic adjustment provided by the electronics will allow adaptation to the current working conditions of the machine in such a way that the intervention of an operator to make adjustments by changing the machine programming can be avoided. In addition, algorithms should be able to detect anomalies during operation that will help to maintain the machine._x000D_ This approach aims to enhance the performance in the treatment of fruit and vegetable products in order to lower processing costs and reduce the percentage of rejection of fruit and vegetables. Both aspects have a direct impact on increasing the profits of warehouses and producers, as well as on lowering the price of the product to the consumer. (English) | |||||||||||||||
| Property / summary: The project was born with the aim of developing a control electronics for a fruit and vegetable weighing machine integrated into a transport chain for its treatment. The weighing machine makes the selection from a sample of products in order to obtain a combination between them that meets a certain weight condition. In order to optimise the performance of the production chain, the weighinger electronics will apply machine learning algorithms that will affect the control and combinatorial processes of the machine in order to increase productivity and processing performance._x000D_ The weighing machine control system shall be automatically adjusted during the operation process by controlling the different performance variables from the search for the optimal operating point determined by maximum machine productivity. The automatic adjustment provided by the electronics will allow adaptation to the current working conditions of the machine in such a way that the intervention of an operator to make adjustments by changing the machine programming can be avoided. In addition, algorithms should be able to detect anomalies during operation that will help to maintain the machine._x000D_ This approach aims to enhance the performance in the treatment of fruit and vegetable products in order to lower processing costs and reduce the percentage of rejection of fruit and vegetables. Both aspects have a direct impact on increasing the profits of warehouses and producers, as well as on lowering the price of the product to the consumer. (English) / rank | |||||||||||||||
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| Property / summary: The project was born with the aim of developing a control electronics for a fruit and vegetable weighing machine integrated into a transport chain for its treatment. The weighing machine makes the selection from a sample of products in order to obtain a combination between them that meets a certain weight condition. In order to optimise the performance of the production chain, the weighinger electronics will apply machine learning algorithms that will affect the control and combinatorial processes of the machine in order to increase productivity and processing performance._x000D_ The weighing machine control system shall be automatically adjusted during the operation process by controlling the different performance variables from the search for the optimal operating point determined by maximum machine productivity. The automatic adjustment provided by the electronics will allow adaptation to the current working conditions of the machine in such a way that the intervention of an operator to make adjustments by changing the machine programming can be avoided. In addition, algorithms should be able to detect anomalies during operation that will help to maintain the machine._x000D_ This approach aims to enhance the performance in the treatment of fruit and vegetable products in order to lower processing costs and reduce the percentage of rejection of fruit and vegetables. Both aspects have a direct impact on increasing the profits of warehouses and producers, as well as on lowering the price of the product to the consumer. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 19:20, 12 October 2021
Project Q3181934 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3181934 in Spain |
Statements
319,882.0 Euro
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639,764.0 Euro
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50.0 percent
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2 March 2020
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31 August 2021
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DISMUNTEL, S.A.L.
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39°11'26.74"N, 0°26'8.70"W
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46029
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El proyecto nace con la objetivo de desarrollar una electrónica de control para una pesadora de productos hortofrutícolas integrada en una cadena de transporte para su tratamiento. La pesadora realiza la selección entre una muestra de productos con el fin de obtener una combinación entre ellos que cumpla con una determinada condición de peso. Para poder optimizar el rendimiento de la cadena de producción, la electrónica de la pesadora va aplicar algoritmos de aprendizaje automático en máquina que afectaran en los procesos de control y combinatoria de la máquina con el fin de aumentar la productividad y el rendimiento en el tratamiento._x000D_ El sistema de control de la pesadora deberá ajustarse automáticamente durante el proceso de funcionamiento controlando las distintas variables de actuación a partir de la búsqueda del punto óptimo de funcionamiento determinado por la máxima productividad en la máquina. El ajuste automático proporcionado por la electrónica permitirá la adaptación a las condiciones actuales de trabajo de la máquina de tal forma que se podrá evitar la intervención de un operario para realizar ajustes mediante cambios en la programación de la máquina. Además, los algoritmos deberán ser capaces de detectar anomalías durante el funcionamiento que ayudaran a realizar el mantenimiento de la máquina._x000D_ Con este planteamiento, se persigue potenciar el rendimiento en el tratamiento de los productos hortofrutícolas con el objeto de abaratar los costes de procesado y reducir el porcentaje de rechazo de frutas y verduras. Ambos aspectos repercuten directamente en el incremento del beneficio de almacenes y productores, así como en el abaratamiento de precio del producto al consumidor. (Spanish)
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The project was born with the aim of developing a control electronics for a fruit and vegetable weighing machine integrated into a transport chain for its treatment. The weighing machine makes the selection from a sample of products in order to obtain a combination between them that meets a certain weight condition. In order to optimise the performance of the production chain, the weighinger electronics will apply machine learning algorithms that will affect the control and combinatorial processes of the machine in order to increase productivity and processing performance._x000D_ The weighing machine control system shall be automatically adjusted during the operation process by controlling the different performance variables from the search for the optimal operating point determined by maximum machine productivity. The automatic adjustment provided by the electronics will allow adaptation to the current working conditions of the machine in such a way that the intervention of an operator to make adjustments by changing the machine programming can be avoided. In addition, algorithms should be able to detect anomalies during operation that will help to maintain the machine._x000D_ This approach aims to enhance the performance in the treatment of fruit and vegetable products in order to lower processing costs and reduce the percentage of rejection of fruit and vegetables. Both aspects have a direct impact on increasing the profits of warehouses and producers, as well as on lowering the price of the product to the consumer. (English)
12 October 2021
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Algemesí
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Identifiers
IDI-20200737
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