86 results about "Quality process" patented technology

A quality management framework system and method for operating a quality plan in a product development organization having quality objectives. The system includes a plurality of computer implemented tools accessible by users for operating a plurality of quality processes. Data relative to the quality processes is collected and aggregated to generate quality reports. Reports are analyzed and problems are detected through a defect prevention process. Quality actions are initiated in a feedback quality management action tracking process.

A plasma processing apparatus can apply a high-quality process to an object to be processed by removing impurities from a gas-introducing part of a process chamber. The gas-introducing part connected to the process chamber so as to introduce a reactant gas into the process chamber. A first vacuum pump is connected to the process chamber so as to evacuate gas from the process chamber so that the process chamber is maintained at a negative pressure. A gas-evacuating arrangement is connected to the gas-introducing part so as to exclusively evacuate the reactant gas from the gas-introducing part. The gas-evacuating arrangement includes a second vacuum pump directly connected to the gas introducing part or a bypass passage connecting the gas-introducing par to the first vacuum pump by bypassing the process chamber.

The invention provides a new process of quick superplastic forming of automotive body parts of aluminum alloy automobiles, which is mainly characterized in that hot stamping is combined with superplastic gas-bulging forming, so that the advantages of the hot stamping and the superplastic gas-bulging forming are relatively complemented to achieve the aim of quick superplastic forming. The process reduces the requirements of the conventional superplastic forming on grain sizes of sheet materials, and allows for the use of ordinary commercial aluminum alloy sheet materials. Compared with a cold stamping process, the new process has the advantages of overcoming the drawbacks of cracks and large springback, along with fewer working procedures and high yield; and compared with the conventional superplastic forming process, the new process improves the forming speed obviously, and reduces the material cost. The new process eliminates the technical barriers in making light weight automobile bodies of the low and medium-grade automobiles by using aluminum alloy, and is an efficient and high-quality process for the mass production of the automobile bodies of the aluminum alloy automobiles.

The invention discloses a method for making an omega event interval control chart for high quality process statistics control. In the method, a production process is supposed to be complied with normal distribution, and the production process and the normal distribution are independent; as a high quality process is sensitive to a false alarm rate, a time interval of an omega event is monitored in order to reduce the false alarm rate; and if the time interval is abnormal, the process is abnormal and is out of control. The method specifically comprises the following steps of: 1, acquiring historical data; 2, performing statistical description on the historical data; 3, designing parameters of the omega event interval control chart; 4, monitoring the process by using the omega event interval control chart; 5, judging whether the process is really out of control; and 6, analyzing a reason why the process is out of control, and adjusting and repairing the process to make the process reenter a controlled state. By the method, the problems of high false alarm rate of the conventional control chart in high quality process monitoring application and the like can be solved; furthermore, the method has high reference value for process alarm diagnosis and has a wide application prospect in the technical field of statistical process control technologies.

The invention discloses a multivariate quality process out-of-control signal diagnostic method based on a support vector machine and genetic optimization. The multivariate quality process out-of-control signal diagnostic method based on the support vector machine and the genetic optimization is characterized in that first, the types of signals likely to lead to abnormality of a multivariate process are determined according to the mean value dimensions of the multivariate process, namely the structure of a classifier model is determined; second, radial basis function parameters and penalty factors of the support vector machine are optimized with the genetic algorithm; third, the optimal support vector machine classifier model is obtained through the acquired optimal parameters, and the multivariate process out-of-control signals are diagnosed on the basis of the optimal support vector machine classifier model. The parameters of the SVM are selected dynamically through global searching ability of the genetic algorithm, and thus automatic optimization selection of the parameters of the SVM classifier is achieved, and quality diagnosis effects of the multivariate process are also promoted. The multivariate quality process out-of-control signal diagnostic method based on the support vector machine and the genetic optimization integrates the GA global searching ability and the classifying ability of the SVM, and meanwhile avoids complex calculation, simplifies the network structure of the classifier and promotes generalization ability and identification efficiency of the classifier.

The invention belongs to the technical field of air monitoring, and discloses an indoor air monitoring alarming system. The indoor air monitoring alarming system is provided with a temperature sensor, a humidity sensor, a PM2.5 sensor and an air quality sensor and is used for monitoring indoor air temperature, air humidity, PM2.5 and other quality parameters of the air in real time; the all-around monitoring of the indoor air quality can be facilitated, and the living quality and living standard of people can be improved; and a storage device is used for storing various index parameters of the air quality processed by a central processor and a processing process for fire alarm information, so that the later investigation on the fire reason can be facilitated. The indoor air monitoring alarming system is also provided with a fire alarming function, so that the fire alarming can be realized, the information can be transmitted to a mobile terminal and a fire station in time, the fire can be discovered in time and alarmed in time, and the property loss of house owners can be maximally reduced.

The invention discloses a microwave roller kiln, which comprises a heating section furnace body, a heat preservation section furnace body, a cooling section furnace body (4), a dehumidification and exhaust system (9), a cooling and exhaust system (10), a temperature measurement control system (7) and stick transmission system (6), the described heating section furnace body is a microwave heating section furnace body (2), and the described heat preservation section furnace body is a microwave heat preservation section furnace body (3), and the microwave The microwave energy feeding system (8) of the heating section body of furnace (2) and the microwave heat preservation section body of furnace (3) is connected with a microwave control system (13), and the inlet of the microwave heating section body of furnace (2) The kiln inlet microwave suppression section (1) is docked at the end, and the outlet end of the cooling section furnace body (4) is docked with a kiln outlet microwave suppression section (5), and microwave sealing devices are provided at the joints of various parts of the entire kiln. . The invention is a microwave roller kiln with low heating temperature, fast reaction speed and high quality of processed materials.

Methods, systems, and software for improving the product quality of a production line having multiple production steps, at least some of which employ multiple individual tools, including producing product lots using different combinations of tools, setting a quality benchmark for the resulting product lots, identifying product lots that meet the quality benchmark, identifying the tools used to produce the identified quality product lots, and producing additional product lots using at least substantially the identified quality tools.

The invention discloses an iteration project quantification monitoring method based on defect drive and a system thereof, belonging to the field of computer software engineering. The method of the invention comprises the following steps: 1) extracting stable historic process from a software process database to establish an iteration project process performance baseline; 2) using the iteration project process performance baseline to estimate workload, progress and quality of each iteration; 3) using the estimation results to monitor whether practical iteration workload, practical iteration progress and practical iteration quality meet process performance targets. The system of the invention comprises a data layer and a model layer; wherein the data layer stores defect-related measurement indicators and process performance data, the model layer comprises an iteration project process performance baseline builder, an iteration initial estimator, an iteration workload process performance model, an iteration progress process performance model and an iteration quality process performance model. The invention provides all-dimensional measurement of workload, progress and quality and real-time monitoring during execution period of the project.

The invention discloses a cut tobacco production batch homogenization evaluation method. Production is carried out in multiple batches in the cut tobacco production process, and in the cut tobacco production process of a single batch, tobacco leaf material sequentially goes through the steps of hot-air tobacco leaf moistening, leaf flavoring, cutting, heating and moistening of cut tobacco, cut tobacco drying and cut tobacco aromatization; each on-line index datum of each step is first acquired on line; each off-line index datum is acquired by artificial sampling inspection; each acquired datum is inputted into a quality management information system for statistical analysis, and according to a statistical analysis result, each index related to each datum is evaluated to generate a corresponding single-batch evaluation index value; according to the single-batch evaluation index value generated in the cut tobacco production process of each single batch, the quality management information system automatically generates a whole-batch cut tobacco quality evaluation report, and according to the whole-batch cut tobacco quality evaluation report, a corresponding step improvement measure is taken. The method can effectively increase the accuracy, controllability and homogenization of cut tobacco production quality process control, and the implementation of the method does not require new inspection instruments and equipment to be added.

Legal document processing (review/summarization/analysis) is a complex and intellectually intensive process. The quality process required for accomplishing this task needs to ensure acceptable levels of accuracy to the customer along with speed and efficiency. Defining of Error Codes, measurement of Error Codes and the related analysis, calibration of results and the analysis of deviations and similarities and the sampling strategy associated with unit selection are critical in ensuring a high acceptable quality level. A system and method of searching through documents in order to find documents relevant to a defined inquity, whereby the number of irrelevant documents produced and number of relevant documents overlooked is minimized. A system and method of using scoring and quality evaluations for a given search project are described.

A pedestal is provided for supporting wafer boats in a process chamber during semiconductor fabrication. The pedestal contains hollow spaces, such as within porous insulating plugs, and gases inside the pedestal may expand during semiconductor processing. The pedestal has an opening for exhausting gases out of its interior and into the process chamber. The opening is provided with a filter, in the form of a sintered ceramic or glass disc sealed within a tube covering the opening, to prevent the passage of particles which may be present inside the pedestal. By filtering the particles, the filter removes a source of contamination, thereby allowing for high quality process results on wafers processed in the process chamber.

The aim is to effectively remove the unpleasant raw odor that is characteristic of soybeans and provide a high quality processed soybean food product. In a production method for processed soybean food products that includes a grinding step (A) in which raw soybeans are ground to obtain a soybean slurry and a heating step (B) in which the obtained soybean slurry is heated and thermally denatured, a deaeration step (C) for removing air bubbles mixed in with the soybean slurry is performed partway through the heating step (B). It is preferable that the heating step (B) and the deaeration step (C) are performed continuously.

The invention discloses a mark reaching treatment method of packaged wastewater in an industrial park. Aiming at the characteristics that the source of the packaged wastewater in the industrial part is wide, the components are complex, and the mark reaching treatment is not reliable by adopting the general biochemistry technology, firstly, the packaged wastewater in the industrial park is adjusted the pH value by mixing isotrope, and the impact load of the water quality and quantity is reduced; secondly, the biochemical property can be improved through the oxidation pretreatment, the removal rate of the organic matter is about 10-40 percent, the COD is reduced to 400-1000 mg/L, the biochemical property (B/C) can be improved by more than 0.3; thirdly, 0.01-0.1 percent of active carbon is added into a polytype main biochemical treatment system of activated sludge and biomembrane to form a PACT system, the removal rate of the organic matter is about 70-90 percent, the COD can be reduced to 120-150 mg/L; fourthly, suspended organic matter and inorganic matter are removed by coagulating sedimentation, the removal rate of the organic matter is about 10-30 percent, the COD can be stabilized under 100 mg/L, and the requirement (the COD is less than 100 mg/L) of the sewage complex discharge national standard (GB 8978-1996) is achieved.

The invention provides a honeycomb core material optimization cutting processing method. The method comprises the steps of obtaining typical machining defects of a honeycomb core material through honeycomb core material milling tests and representing the defects at the cut-in angles of the honeycomb walls where the defects obtained through classification and detection are located; establishing a relation model, namely an optimization condition equation of cutting parameters and the value taking interval of the cutting parameters, between the cutting parameters and the cut-in angles, and selecting the cutting parameters according to the value taking interval so as to achieve optimization cutting processing of the honeycomb core material. Through the honeycomb core material optimization cutting processing method, the manufacturing defects of the honeycomb core material are avoided, and the high-quality processed surfaces are obtained.

The invention provides a river water quality monitoring data sequence encryption method. Firstly a regression equation between a pollutant flux and flow is optimized through an LOADEST model, a water quality sequence encrypted for the first time is pre-estimated through high-frequency flow monitoring data, and a fluctuation characteristic of a flow process is transmitted to a water quality process through the regression equation, so that the deficiency that a linear interpolation method cannot describe a fluctuation characteristic of a water quality change process is made up for; secondly the water quality sequence encrypted for the first time is corrected through a Kalman filtering correction model, and a water quality actual measurement value and a water quality estimation value based on the LOADEST model are subjected to data assimilation, so that an error between the final estimation value and the actual measurement value can be effectively reduced and the deficiency of relatively large error of related model interpolation methods is made up for; and finally the obtained encrypted water quality data sequence can not only describe the fluctuation change characteristic of the water quality process between two actual measurement points but also effectively reduce the error between the estimation value and the actual measurement value, so that the defects of an existing method are overcome.

The invention provides a method for concentrating waste liquid generated when marine products are processed, which orderly comprises the following processing steps: 1) the waste liquid is cooled down to the temperature of between 20 and 30 DEG C; 2) the pH value of the waste liquid is adjusted to between 4.5 and 5.8; 3) impurity removal; 4) desalting; 5) dewatering; and 6) concentration by evaporation. The method has the advantages of obviously lowering the energy consumption, improving the working efficiency and reducing labor intensity; simultaneously, film permeating water can be used as good-quality process water for reutilization, thereby realizing the reutilization and clean production, avoiding the environmental pollution due to massive discharge of pollutants and emphasizing on economic benefits as well as social benefits so as to realize the win-win.

A method for representing the quality change process of beef fat during repeated freezing and thawing through a Raman spectrum. The method comprises the steps of (1) setting operating parameters of a laser Raman spectrometer, wherein the operating parameters include the wavelength of exciting light, the laser power and the scanning time; (2) repeatedly freezing and thawing beef, extracting fat in the thawed beef, and then conducting Raman spectrum scanning on the extracted fat; (3) analyzing and processing an obtained original Raman spectrum, so that the quality change process of beef fat during repeated freezing and thawing is represented. The Raman spectrum is used for monitoring the quality change process of beef fat during repeated freezing and thawing, the method is flexible and simple, the analysis speed is high, and the fat quality of beef which is repeatedly frozen and thawed can be represented efficiently and accurately; in addition, analysis solvent consumption is low, and the detection cost is low.

The invention discloses a method and a system for automatically matching different audio parameters based on a mobile terminal. The method comprises the following steps: A, presetting and storing the model information of audio amplifiers and audio parameters in the mobile terminal; B, after the mobile terminal is started, calling corresponding audio parameters to be output according to the model information of the audio amplifiers, in the current mass production stage of the mobile terminal, namely a plurality of audio amplifiers of different models using the same driver can be compatible to be carried with the corresponding audio parameters by using the same suit of software; in the current debugging stage of the mobile terminal, a plurality of audio amplifiers of multiple models using the same driver can be debugged and verified by providing one suit of software, so that a plurality of suits of software are prevented from being output; and the audio amplifier devices are prevented from being exchanged in current after-scales repair of the mobile terminal to cause the problems in tone quality process due to the occurrence of audio parameter and chip mismatching. The matching of application layer audio parameters and driver layer machine chips is realized.

The invention provides a preparation method and application of a V-shaped groove of a micro-fluidic chip injection mold and a preparation method of the micro-fluidic chip, and relates to the field ofmanufacturing of micro-fluidic chips. The preparation method of the V-shaped groove comprises the following steps of providing a third micro conical electrode with a conical tip to machine the workpiece to obtain a main body contour of the V-shaped groove, and then further trimming the third micro conical electrode into a fourth tip conical electrode with a smaller cone height and a smaller angleso as to further modify the body contour of the V-shaped groove to obtain the V-shaped groove with a smaller bottom end round angle. The preparation method solves the technical problem of lack of a high-quality process for manufacturing the V-shaped groove of the micro-fluidic chip injection mold in the prior art.

The invention relates to the technical field of deep processing such as unstable clamping and positioning of irregular parts, and discloses an auxiliary increasing technology boss. The auxiliary increasing technology boss comprises an irregular part blank, wherein the side edge of the irregular part blank is processed into a clamping and positioning surface with a certain drawing angle; the surface of the clamping and positioning surface of the irregular part blank is provided with a boss for clamping the irregular part blank during milling a groove by casting; a positioning surface or a positioning point is added at a proper position of the irregular part to change a clamping mode, so that the stressed position is artificially controlled to a position beneficial to processing and convenient to stress; the added technology boss is milled after the content of a product is processed; on the premise of ensuring the stable quality process, the processing parameters reduced due to instability are reduced for actually producing the product, and meanwhile, different types of bosses can be pertinently adopted for clamping according to the thickness condition of the different-shaped parts,thereby effectively improving the clamping effect of different-shaped parts with different thicknesses.

The invention discloses a remote sensing image denoising method. The method comprises the following steps of logarithm transformation, double-density dual-number complex wavelet decomposition, shrinkage coefficient calculation, layer-by-layer processing, double-density dual-number complex wavelet reconstruction, inverse-logarithm transformation and image output. Double-density double-tree complexwavelet transformation, the Bayesian theory and the quantum-derived idea are combined, and double-density double-tree complex wavelet transformation has translation invariance and the anti-aliasing characteristic, is more approximate to continuous wavelet transformation and has higher directivity, so that a mutual promotion effect is achieved after double-density double-tree complex wavelet transformation is combined with the quantum-derived method, the contradiction between spot removing smoothing and detail maintaining is better solved, the quality processed images is improved, an image speckle removing method is simple and effective, the image detail maintaining capability is high, a better visual effect is achieved, high-frequency signals and noise of the images are effectively distinguished, the self-adaptability of local filtering is enhanced, and image edge details are kept to a greater extent.