55 results about "Quality costs" patented technology

Methods and apparatus are described in which, at design-time a thorough analysis and exploration is performed to represent a multi-objective “optimal” trade-off point or points, e.g. on Pareto curves, for the relevant cost (C) and constraint criteria. More formally, the trade-off points may e.g. be positions on a hyper-surface in an N-dimensional Pareto search space. The axes represent the relevant cost (C), quality cost (Q) and restriction (R) criteria. Each of these working points is determined by positions for the system operation (determined during the design-time mapping) for a selected set of decision knobs (e.g. the way data are organized in a memory hierarchy). The C-Q-R values are determined based on design-time models that then have to be “average-case” values in order to avoid a too worst-case characterisation. At processing time, first a run-time BIST manager performs a functional correctness test, i.e. checks all the modules based on stored self-test sequences and “equivalence checker” hardware. All units that fail are deactivated (so that they cannot consume any power any more) and with a flag the run-time trade-off controllers, e.g. Pareto controllers, are informed that these units are not available any more for the calibration or the mapping. At processing time, also a set of representative working points are “triggered” by an on-chip trade-off calibration manager, e.g. a Pareto calibration manager, that controls a set of monitors which measure the actual C-Q-R values and that calibrates the working points to their actual values. Especially timing monitors require a careful design because correctly calibrated absolute time scales have to be monitored.

The invention relates to a GNSS (Global Navigation Satellite System) product automatic test method based on function test. A function test module is in connection with a detected GNSS product through a test point, controls the on-off of power-on, burning and detection switches, and successively completes function model test of the GNSS product so as to detect whether each function module of the GNSS product is normal. According to the invention, after the surface mount of the GNSS product, a common operator of a supplier can directly complete mainboard debugging and aging work, requiring no professional debugging personnel to perform test, thereby simplifying a whole debugging process, minimizing manual operation, improving test efficiency and accuracy, meanwhile reducing surface mount quality costs, promoting the surface mount process improvement of the supplier, and realizing win-win.

The invention provides a picture processing method, a picture processing device and a picture processing platform. The method comprises the following steps: obtaining attribute information of an original picture; aiming at a PNG picture, firstly performing lossless compression on the original picture, and then judging a transparent characteristic of the original picture; if a transparent pixel point does not exist, judging the area of the original picture or a picture color value; when the area of the picture is less than an area threshold or the picture color value is less than a color threshold, compressing the picture after the lossless compression, converting a format of the picture after the lossless compression into a JPG format, and then performing compression; and obtaining the picture, which has the smaller volume in the two pictures, through a comparison, and selecting the picture as a processed picture. In the scheme, judgments are performed through combinations with the picture transparent characteristic, the color value and the area of the PNG picture, original picture information is represented well in the smaller picture volume, the picture expression effect is improved, and the picture volume and quality cost performance are improved.

The invention discloses a short-term early warning method for crop pests. The short-term early warning method for crop pests comprises the following steps of 1, performing annual monitoring of the number of pests in the early warning area where the pest forecasting lights are located, and sending the monitoring results to the data terminal; 2, smoothly processing data for the monitoring information of the pest forecasting lights; 3, based on the data after the smoothing, using the gray modeling method to establish the normal model of pest situation changes; 4, based on the rising trend of the normal model of pest situation changes, determining the specific time point of crop pest outbreaks; 5, classifying the degree of plague of the early warning area based on the pest data; 6, sending the monitoring information to the plague monitoring network platform; and 7, recording the warning information specific data into the data terminal database. The beneficial effect is that the monitoring is real-time, the implementation is convenient, the manual cost is greatly saved, the early warning is accurate and effective, the prevention cost is saved, the amount of pesticide residues of the crop is reduced, and the crop yield and output are improved.

The invention provides a project management system and an implementation method based on an industrial cloud platform, which is suitable for the platform-based enterprise management mechanism in the field of information network technology to solve the problem that the various phases encountered in the new product development process are difficult to control, fragmentation of project materials, difficult to manage and control the R&D cost of the project. Based on a six Sigma management and amoeba business model, the project management system connects the time node of new product development with quality and cost, and enhances the designer's awareness of design quality cost and time cost, so that the product designed and developed can meet the current market demand of fast product renewal and high cost performance ratio.

Methods and apparatus are described in which, at design-time a thorough analysis and exploration is performed to represent a multi-objective “optimal” trade-off point or points, e.g. on Pareto curves, for the relevant cost (C) and constraint criteria. More formally, the trade-off points may e.g. be positions on a hyper-surface in an N-dimensional Pareto search space. The axes represent the relevant cost (C), quality cost (Q) and restriction (R) criteria. Each of these working points is determined by positions for the system operation (determined during the design-time mapping) for a selected set of decision knobs (e.g. the way data are organized in a memory hierarchy). The C-Q-R values are determined based on design-time models that then have to be “average-case” values in order to avoid a too worst-case characterization. At processing time, first a run-time BIST manager performs a functional correctness test, i.e. checks all the modules based on stored self-test sequences and “equivalence checker” hardware. All units that fail are deactivated (so that they cannot consume any power any more) and with a flag the run-time trade-off controllers, e.g. Pareto controllers, are informed that these units are not available any more for the calibration or the mapping. At processing time, also a set of representative working points are “triggered” by an on-chip trade-off calibration manager, e.g. a Pareto calibration manager, that controls a set of monitors which measure the actual C-Q-R values and that calibrates the working points to their actual values. Especially timing monitors require a careful design because correctly calibrated absolute time scales have to be monitored.

The invention discloses a method for detecting the thermal design rationality of an electronic product based on an infrared thermal imaging technology, which comprises the steps that infrared imagingdata of a product to be detected is captured through an infrared thermal imaging instrument, the data is transmitted to a computer, and the computer analyzes and judges the measured data according toset detection standards so as to complete detection for the thermal design rationality of the electronic product. The infrared thermal imaging instrument is taken as a main body for detection, and only the handheld infrared thermal imaging instrument is required to be selected to perform detection on a normally operating or aging product; and the operation is flexible, the coverage is comprehensive, and the universality is high. Compared with the prior art, the operation difficulty can be reduced, the test time can be saved, and the risk of test omission is eliminated. The thermal design rationality serves as a necessary item for the hardware reliability in the research and development and sample design finalizing stages of the electronic product; thermal design defects are effectively measured and discovered before mass production of the electronic product, thereby performing rectification and remedy timely, and being capable of effectively reducing the failure rate and the quality cost of the electronic product after mass production.

The invention relates to a method for confirming the shrinkage of an automobile part subjected to injection molding, which comprises the following steps of: (1) selecting at least one position on an injection mold of the automobile part, and dotting and marking; (2) performing injection molding on a product on the mold, and marking a point position of the actual size of the product after the product is subjected to injection molding; and (3) comparing the size difference of the mold and the product, and calculating the shrinkage of the part made of a certain material. By the method, product yield is improved, waste products are reduced, and quality cost is reduced; and problems possibly occur after the product is subjected to mass production are demonstrated and foreseen through tests at the product development stage, the project development capability of a factory is improved, and guarantee is provided for upgrading the technology of the production factory and enhancing a cooperative partnership between the production factory and an automobile main engine factory.