4 results about "Product assessment" patented technology

The present invention relates to the field of product evaluation, and more specifically, to a product quality evaluation method and system based on big data. The method comprises: collecting multi-dimensional detection data, obtaining a quality evaluation value of a product, and calculating the degree of abnormality; calculating the degree of influence of the detection data of a target dimension on a target product; respectively calculating the correlation between the detection data of the target dimension and the detection data of each dimension, and using the global influence degree to correct the correlation coefficient correction value, constructing a correlation coefficient correction value matrix, and using matrix decomposition to obtain the weight of the detection data of the target dimension during quality evaluation; respectively multiplying the weight by the detection data of the corresponding dimension to obtain new multi-dimensional detection data to complete product quality evaluation. Through the technical solution of the present invention, the accuracy and efficiency of product quality evaluation can be improved.

The invention discloses a product life cycle evaluation system and method based on the Internet of Things, and relates to the technical field of product evaluation, the transportation mode of a product is confirmed according to order information, and the influence result of the product storage loss uniformity on the transportation loss under the selected transportation mode is analyzed, so that the product life cycle evaluation result is obtained. The method comprises the steps that firstly, a warehouse-out scheme and a placement scheme are formulated based on the influence result, then in the transportation process, vibration data of products are monitored, when the vibration data exceed a set threshold value, product stacking data are obtained, and the deviation and damage conditions of the products are confirmed, and according to the scheme, the product warehouse-out selection accuracy is improved, loss of subsequent products in the transportation process is reduced, and the transportation efficiency is improved. Meanwhile, the condition of the product in the transportation process can be known more deeply, the protection accuracy in the transportation process is improved, the influence on the transportation efficiency is reduced, and meanwhile the safety of the product in the transportation process is guaranteed.

The present invention discloses an Internet of Things-based product life cycle assessment system and method, which relates to the technical field of product assessment. According to the order information, the transportation mode of the product is confirmed, and the influence result of the product storage loss uniformity on the transportation loss under the selected transportation mode is analyzed. Then, an outbound plan and a placement plan are formulated based on the influence result. During the transportation process, the vibration data of the product is monitored. When the set threshold is exceeded, the product stacking data is obtained to confirm the offset and damage conditions of the product. This solution improves the accuracy of product outbound selection, reduces the loss of subsequent products during transportation, and can also more deeply understand the situation of the product during transportation, improve the protection accuracy during transportation, reduce the impact on transportation efficiency, and ensure the safety of the product during transportation.

The present application is directed to a system which integrates advanced scientific methods, and artificial intelligence (AI) enabled software, applications and algorithms to assess and optimize health impacts of existing consumables and theoretical consumable formulations, artificial and natural ingredients, and associated bio-functional effects, for purposes of generating actionable Relevant Nutrition Scores (RNS's). RNS AI-enabled software, algorithms and applications, systems & methods analyze comprehensive food information, food preparation practices, additives, preservatives and packaging by weighting user-aligned inputs. RNS supports global product assessments inclusive of health benefits, opportunities and risks, dietary choices, food innovations, purposeful health certifications, and healing and recovery protocols, achieved through dynamic, multi-dimensional nutritional research and applied health impacts, each and all aligned in support of specific diverse users. System outputs optimize existing, speculative and future consumable formulations, deliberate dietary recommendations, purposeful products production, treatment protocols, and pharmaceutical efficacies, while promoting wellness, disease resilience and natural immunities.