62 results about "Process improvement" patented technology

The invention discloses airtightness detection equipment of a valve body and a use method thereof, the airtightness detection equipment of the valve body comprises a rack and a detection mechanism, the detection mechanism comprises a static chuck and a movable chuck, and the static chuck is provided with an air outlet pipe, an infrared monitoring probe and an air flow meter; the movable chuck is provided with an air inlet pipe, an electronic barometer, a heating cavity and an air inlet switch and is connected with an external air compressor, the air inlet pipe further comprises an upper-layer pipeline and a lower-layer pipeline, the air inlet switch is communicated with the lower-layer pipeline, and the heating cavity is communicated with the upper-layer pipeline; two supporting frames are further arranged on the two sides of the static chuck, and an infrared imaging display screen and a control box are further arranged on the machine frame. According to the air tightness detection device, manual air tightness judgment is not needed, the position where an unqualified product leaks can be displayed and recorded, and assistance is provided for product upgrading and process improvement; and heat preservation can be carried out on gas in the valve body, the influence of temperature change on gas pressure is prevented, and the detection accuracy is improved.

The invention provides a business workflow dynamic arrangement and optimization method based on a large model agent, and the method comprises the steps: (1) analyzing the features and operation logic of a multi-element business workflow, and defining a business workflow description language; and (2) decomposing a complex business process construction process, and providing a layered process modeling system to guide a large model agent to construct a workflow model. And (3) constructing a task execution queue based on the task dependency relationship, and dynamically executing and monitoring the workflow. And (4) according to the execution log of the business workflow, discovering the bottleneck, redundancy and abnormity of the workflow model by adopting a process mining algorithm, and proposing a process improvement and optimization strategy. And (5) constructing a collaboration framework of a plurality of large model agents, and realizing dynamic arrangement, monitoring and optimization of the business workflow. According to the method, the defects that the current business workflow construction depends on experience of designers, and effectiveness and function requirements are difficult to guarantee are overcome; the defect that the business workflow is difficult to adapt to dynamic demand changes is overcome.

The utility model relates to a process improvement device of a cage type anti-floating anchor, which belongs to the technical field of building construction and comprises a top plate, electric guide rails are fixedly mounted on two sides of the inner wall of the top plate, and sliders are slidably connected into the electric guide rails. The device has the advantages that the electric guide rail and the sliding block are used in cooperation so that the anchor rod can be conveyed into a target hole, certain guiding and limiting effects can be achieved, the deviation phenomenon in the anchor rod installation process can be reduced, in the anchor rod installation process, the perpendicularity of the anchor rod can be monitored through the perpendicularity measuring sensor, and therefore the anchor rod can be conveniently installed. The detection information is transmitted to the controller, then the controller controls the air cylinders to carry out deviation correction, at the moment, the two air cylinders are matched with each other, the piston rod of one air cylinder contracts, and the piston rod of the other air cylinder stretches out, so that the anchor rods in the clamping device a and the clamping device b are in an inclined adjustable state until the anchor rods are in a reasonable perpendicularity range; and tedious manual operation is reduced.

Systems and methods for accelerating the identification of process transformation opportunities offer a data-driven, systematic approaches that incorporate generative AI and user input. Organizational processes are modeled to extract customer pain points, create process activity graphs, identify, and compute key performance indicators (KPIs), benchmark against similar organizations, and simulate business value to highlight transformation opportunities. Embodiments leverage existing knowledge base of customer profiles and solutions to enhance the accuracy of process improvement recommendations.

The invention discloses a welding defect monitoring method and system based on production business, and the method comprises the steps: collecting workpiece information and welding seam information of a to-be-welded workpiece after the to-be-welded workpiece is fed and before welding is started; and executing a predetermined welding defect monitoring logic based on an identification result of the welding seam information. According to the invention, fusion of welding defect monitoring and production business is realized, one-to-one correspondence of welding defect monitoring results with workpiece information and welding seam information is realized, guidance is provided for welding seam inspection and repair, a data basis is provided for process improvement, and an effect of deep fusion with a production business process is achieved.

The application provides a preparation method of a graphene porous membrane. Through process improvement and control of different process parameters, a porous graphene oxide is formed by hole etching on a raw material graphene oxide cake, and then the porous graphene oxide is pulped and coated to form a membrane to form a nanopore surface. After chemical reduction and foaming, exhaust passages are formed on the surface and the edge, the problem of bulging and delamination caused by untimely exhaust during industrial production is solved, and the interlayer bonding force is improved.

To provide feedback for process improvement to increase the efficiency of on-site processes.SOLUTION: A feedback system using causal inference of the present invention includes: a data acquisition unit 121 that acquires sensor data in a manufacturing process 300; a causal inference unit 122 that performs causal inference using a causal structure in which the sensor data is a variable and a conditional probability between variables; an uncontrollable variable avoidance unit 123 that constructs an inference model by replacing an uncontrollable variable with a controllable variable when the result of the causal inference includes an uncontrollable variable; an optimization unit 125 that optimizes each controllable variable in the inference model; and an output unit 126 that feeds back the optimal value of each optimized controllable variable to the manufacturing process.SELECTED DRAWING: Figure 3

The present invention discloses a process monitoring and early warning method for multiple scenarios, including real-time operation monitoring, process trend monitoring and indicator statistical monitoring; real-time operation monitoring includes: collecting real-time operation data in the production process and performing online analysis, and giving an alarm when an abnormality is found; process trend monitoring includes: collecting process trend data in the production process and performing analysis to obtain the process execution status on site, and performing corresponding process improvements based on the analysis results; indicator statistical monitoring includes: collecting indicator statistical data in the production process and performing analysis to obtain key indicator information, and displaying it in an intuitive manner to provide a basis for decision makers; wherein, real-time operation monitoring, process trend monitoring and indicator statistical monitoring configure monitoring rules according to needs to meet the monitoring needs of different scenarios and meet the differentiated needs of different users.

The invention relates to the technical field of water cup manufacturing, in particular to a double-color injection molding process method and system for a sports water cup. Comprising the following steps: step 1, primary injection molding: injecting first-color plastic into a first mold cavity, and cooling to crystallization temperature to obtain the sports water cup liner; step 2, primary detection: taking out the inner container of the sports water cup, detecting internal and external temperatures, hardness and surface integrity of the inner container of the sports water cup, and then placing qualified products and defective products in a classified manner; the absolute quality of finished products is guaranteed, defective product defect items and defect degrees can be marked carefully and accurately, available parameters are provided for follow-up rework and follow-up process improvement, the quality of existing finished sports cups is guaranteed, follow-up treatment is facilitated due to accurate classification of unqualified products, and the production efficiency is improved. The waste of raw materials is reduced, and meanwhile, the auxiliary effect on the process improvement is achieved.

A method for developing or improving a process for producing a product from a material comprising steps of acquiring process data from at least two different sources for the production process and its relevant parameters by using a Data Collecting computer; using the acquired process data related to the production process to perform a Process Mapping step by using a Process Mapping computer; assigning the acquired process data related to the relevant parameters of the production process to its corresponding process parts by performing a Data Mapping step by using a Data Mapping computer; analyzing the therefore mapped process data with a specific software performed on an Analyzing computer thereby identifying and validating one or more existing characteristics related to the quality or performance of the production process; and using the identified and validated characteristics to develop the production process or improve its performance.

The utility model relates to the technical field of process improvement, in particular to an additive system metering pump PLC linkage device which comprises an EB tank body, a heating pipe is installed on one side of the EB tank body, one end of the heating pipe penetrates through the ED tank body to extend into the ED tank body, a feeding piece is installed on the top of the EB tank body, a three-way pipe is installed at the bottom of the EB tank body, and a PLC is installed on the other side of the EB tank body. The two ends of the three-way pipe are fixedly connected with one ends of metering pumps correspondingly, and one sides of the two metering pumps are fixedly connected with the PLC through data transmission lines. According to the improved additive system metering pump PLC linkage device, a single tank is adopted to be connected with additive pumps of two systems at the same time, the mode is different from an existing mode that a positive pump and a standby pump are adopted, the utilization rate of resources is increased, resource waste is avoided, the volume of the tank body can be utilized to the maximum extent, excessive production capacity is avoided, in addition, the linkage device is additionally arranged between the additive pumps, and the production efficiency is improved. And automatic pump reversing is realized through flow pressure, so that accidents are reduced.

The present invention provides a rapid temperature change test method for encapsulated products. The test equipment used includes a test chamber, a positioning unit, and a test unit. In the present invention, a sample module that can accurately simulate the actual temperature inside the encapsulated product during the test can truly simulate the test state of the encapsulated product, and based on this, output a signal to the temperature controller to automatically correct and compensate for the temperature inside the test chamber, ensuring that the equipment operates effectively during the test, effectively improving the accuracy of the test results, so as to timely detect design and process faults of the product, facilitate subsequent design and process improvements, and improve the reliability of the product.

The invention provides an LQFP144pin high-precision lead frame progressive die manufacturing method, which belongs to the technical field of die manufacturing, and comprises the following steps: S1, processing an upper die holder and a lower die holder; s2, an upper die plate and a lower die plate are machined; s3, a male die is machined; s4, machining a female die; s5, a small discharging plate is machined; and S6, the mold is assembled. The manufacturing method has the beneficial effects that through a series of process improvements, the manufacturing difficulty of a high-precision multi-pin LQFP144 lead frame mold is overcome, and the processing and manufacturing precision is ensured; the pins in the die are firstly punched into short pins and then punched into long pins, so that the pins are prevented from being twisted and deformed in the punching process; the inner pins are punched in 16 stations, the pins in the step pitch direction are punched firstly, then the pins in the material width direction are punched, and the pin deviation phenomenon caused by step pitch accumulation in the punching process is reduced.

The invention provides a supporting device and reaction equipment, the supporting device is used for supporting a working platform in the reaction equipment, and the supporting device comprises a base; the supporting platform is movably arranged on the base, the supporting platform is used for supporting the working platform, and the supporting platform is provided with a datum plane fixed relative to the working platform; the translation mechanism is arranged on the base and used for driving the supporting platform to translate on the base; the leveling mechanism is arranged on the supporting platform and used for adjusting the inclination angle of the datum plane. The supporting device can drive the working platform to translate through the translation mechanism, the inclination angle of the working platform can be adjusted through the leveling mechanism, then it can be ensured that the working platform is located in a proper reaction area in the reaction cavity, the bearing face of the working platform is located at a proper angle, and the whole working platform is located in a proper position state; process requirements are met, the workpiece reaction effect is ensured, and the purpose of process improvement is achieved.

A high-precision cross-scale 3D structure manufacturing method and a use thereof. The method comprises: performing multi-stage imprinting on a processing substrate using an imprint mold, wherein one or more imprint patterns composed of a target 3D structure are formed after each imprinting, and the hardness of the imprint mold is greater than that of a surface to be processed; during the multi-stage imprinting, sequentially forming the scales of the target 3D structure from small to large; and during the multi-stage imprinting, performing bidirectional conversion on the basis of the morphology requirements of the target 3D structure and / or the mechanical properties of the formed imprint patterns as well as operational parameters of imprinting work. Processing and manufacturing of high-precision cross-scale 3D structures can be realized in a simple and efficient manner, the overall solution can be applied to almost all materials by means of process improvement, and key parameters are set to greatly improve industrial operability and production effectiveness.

A method suitable for a flexible manufacturing production process includes a workbench, a batching warehouse, a finished product warehouse, a first transport unit, a second transport unit and a third transport unit, and obtains a production process flow, with sub-steps with a single relationship as secondary sub-steps, and determining the secondary sub-steps according to the production process relationship between the previous and next sub-steps in each sub-step in the production process flow, merging the secondary sub-steps in the sub-steps to form a serial node, and the process in the serial node is performed according to the execution order between the atomic steps. The present invention merges complex multi-node parallel and serial tasks into single-node parallel or serial tasks that can work directly on the workflow, solves the problem of cumbersome modification of established processes due to process improvements or changes in the on-site production environment in flexible manufacturing, improves the flexibility of flexible manufacturing, and can arbitrarily configure and modify the production process in combination with actual conditions.

According to one aspect, there is provided a computer-implemented system for evaluating and improving strain production using three integrated components: a prototype system for evaluating candidate strains, an optimization system for enhancing strain performance, and a scale-up system for adapting laboratory results to commercial-scale parameters. The system employs artificial intelligence models trained on data from all three components. The system continuously receives performance data from these systems to update its AI models. Using these updated models, the system generates modified operational parameters for the prototype, optimization, and scale-up systems, creating a feedback loop for continuous process improvement.

The application provides a method for monitoring the quality of overlay mark process, providing a design mark; according to the design mark, the design mark is made on a wafer to obtain an overlay mark; the overlay mark is scanned, and a scanned signal is received to generate a photo of the overlay mark; the CD of the contour of the overlay mark is extracted based on the photo; the CD of the contour of the design mark is compared with the CD of the contour of the overlay mark to measure the difference between the two; or the CDs of different positions of the contour of the overlay mark are compared with each other to measure the difference of the CDs of different positions. The application extracts the edge CD from the picture scanned by an electron microscope, and stacks the contour CD of the design mark or the contour CD of the mark at different positions. If there is a difference, the abnormality can be found in time. If the actual mark deviates, the deviation will be reflected on the overlay measurement result, the process and the measurement result are preliminarily judged in advance, the wrong overlay feedback is avoided, and the guidance for process improvement is provided.

The present invention relates to the field of wafer processing technology, and discloses an improved process for manufacturing compound semiconductor wafers. The process comprises the following steps: S1, completing a front-end crystallization process of the wafer; S2, temporarily bonding the wafer to a glass carrier; S3, thinning the back surface and manufacturing a back component process; S4, placing the back surface on a first carrier and removing the glass carrier; S5, completing the fixation of the wafer edge with a deposit and performing a high-temperature tempering process to activate ions and a front surface process; S6, bonding the front surface of the wafer to a second carrier and removing the first carrier on the front surface; S7, continuing the process on the back surface of the wafer; S8, performing a cutting process; S9, attaching the cut crystals to a cutting mold frame, removing the third carrier, and completing the wafer processing. The present invention adopts a four-step bonding technology, and after passing through a temporarily bonded glass carrier, the front and back surface processes are performed simultaneously, simplifying the operation steps and reducing the operational difficulty.

The application discloses a process intelligent improvement method based on building block units and a manufacturing industry engineering promotion system. The method comprises the following steps: constructing a three-layer knowledge base comprising a general knowledge base, a factory-specific knowledge base and an improvement case result base; adapting the model to the factory through two-stage training and continuous learning; segmenting the process video shot by the on-site personnel into at least one building block unit, wherein the building block unit is the smallest indivisible independent operation segment; extracting the action features of each building block unit and comparing them with the standard template to calculate the deviation quantization value; when the deviation exceeds the preset threshold, matching the waste type and retrieving similar historical cases to generate an improvement scheme; adopting at least one level of human-computer interaction, wherein the first level is confirmed or interactively modified by the on-site personnel and then submitted, and the second level is audited and approved by the industrial engineering department and then executed; after execution, the video is shot again to verify the effect, and the case is automatically stored in the warehouse; the stored case is used for pushing similar problems, training new people and introducing new products. The application realizes fine-grained quantization, low-cost adaptation, case reuse and controllable closed loop of process improvement.

The invention relates to the technical field of digital twinborn models, and discloses a digital twinborn model for a nuclear-grade additive manufacturing process, and a model construction method comprises the following steps: dividing process state units according to a preset rule and constructing feature vectors based on a standardized manufacturing process data set obtained by preprocessing original manufacturing data; performing backtracking consistency evaluation on the process state unit and calculating a comprehensive consistency evaluation value under the constraint of a process, a material and equipment based on an association probability model constructed by historical data; and screening candidate process state units, and outputting a manufacturing sequence formed by defects and corresponding process state information. According to the method, quantitative tracing of the nuclear-grade additive manufacturing defect forming stage can be achieved, reliable support is provided for quality responsibility definition and process improvement, and nuclear-grade manufacturing quality control requirements are met.

The invention discloses a friction plate production quality management system and method based on a block chain, and relates to the technical field of friction plates, and the system comprises four core modules: a friction plate authenticity identification module employs a PUF code and block chain technology, achieves the authenticity verification of a product through the scanning of a vehicle owner APP, and carries out the multi-level early warning of a counterfeit product; the service feedback chain evaluation module collects service data such as braking strength and thermal stress coefficient, calculates a working condition wear evaluation value, and realizes dynamic evaluation of use performance; the anomaly type analysis module integrates failure characteristic data and process consumption data, and accurately positions anomaly types such as high-temperature wear and low-temperature embrittlement through quantitative calculation; and the process adjustment analysis module outputs a production end adjustment instruction covering formula optimization and hot pressing process improvement in a targeted manner according to the abnormal type. The system takes the block chain as a data base, realizes quality tracing and intelligent management and control of the friction plate in the whole life cycle from production to service, and effectively improves the product quality and brand competitiveness.

The invention belongs to the technical field of spaceflight product quality reliability, and particularly relates to a spaceflight product implementation process improvement and predominance grade authentication method, which specifically comprises the following steps: establishing a predominance grade evaluation element model: adopting three-level step-by-step progressive basic architecture of aspects, elements and sub-elements to describe model elements; a predominant grade authentication evaluation element grading matrix is established, wherein predominant grades are determined to be divided into a fine grade, a lean grade and a predominant grade, and standards which need to be achieved are formulated for each sub-element according to the fine grade, the lean grade and the predominant grade; sub-element collection and evaluation: collecting corresponding sub-elements according to the predominance grade evaluation element model, and judging whether each sub-element reaches the standard of the corresponding grade step by step from the fine grade according to the predominance grade authentication evaluation element grading matrix; and predominant grade evaluation: determining the grade of each engineering stage according to the grade of the evaluation sub-element, and determining the predominant grade of the aerospace equipment model according to the grade of each engineering stage.

The invention relates to the technical field of BYD preparation, and discloses a device for preparing BYD from a low-concentration formaldehyde solution and a process improvement method.The device comprises a formaldehyde generation unit and a BYD generation unit, the formaldehyde generation unit comprises an evaporator and a formaldehyde reactor communicated with the evaporator, and the formaldehyde reactor is communicated with a waste heat boiler; one side of the waste heat boiler is connected with a double-tower absorption assembly; the formaldehyde reactor comprises a mixing chamber and an oxidizing chamber arranged in the mixing chamber; the BYD generation unit comprises a reaction assembly and a power pump connected to one side of the reaction assembly, the other end of the power pump is connected with a filter, one side of the filter is connected with a BYD rectifying tower, and the other side of the BYD rectifying tower is connected with a formaldehyde rectifying tower; the double-tower absorption assembly comprises a first absorption tower and a second absorption tower arranged on one side of the first absorption tower; the problems that in the prior art, formaldehyde needs to be concentrated, the raw material consumption is large, the energy consumption is large, and the BYD production cost is high are solved.

The invention provides a process parameter optimization method and device, electronic equipment and a storage medium, and the process parameter optimization method comprises the steps: obtaining real-time process parameters of a product in a plurality of manufacture procedures, and carrying out the preprocessing of the real-time process parameters, and obtaining key process parameters; based on the trained quality prediction model, obtaining a plurality of prediction quality indexes of the product according to the key process parameters; under a preset process constraint condition, taking the key process parameters as variables, taking minimization of a weighted total loss function value as a target, performing minimization solution on the weighted total loss function, and determining a target process parameter combination, the weighted total loss function being a loss weighted sum corresponding to each quality index in the plurality of predicted quality indexes; and optimizing the real-time process parameters according to the target process parameter combination. On the basis, the global optimal process parameters crossing multiple processes can be dynamically found, the improvement period of an existing process is shortened, and the production efficiency and the product yield are improved.

The embodiment of the present specification provides an abnormality monitoring method for electrolytic production, comprising: acquiring production monitoring information; determining production abnormality information based on the production monitoring information; determining process improvement information or an abnormality processing scheme based on the production abnormality information.

The present invention provides a method for identifying a cluster of M0 patterns arranged continuously on a gate, including obtaining layout information; identifying a rectangular M0 that is only connected to one gate and has no overlapping area with the active region as the first target M0; forming a first region by translating the sides of the first target M0 outward by a preset first distance respectively; identifying a polygon formed by synthesizing the first regions with overlapping areas as the first polygon; and forming a second region by translating the sides of the first polygon inward by a preset second distance respectively, and the second region is the cluster of M0 patterns arranged continuously on the gate. It can identify a cluster of M0 patterns with a specific quantity, and can also distinguish the relative positions of each M0 pattern in the cluster. The process is simple, and the result is intuitive and accurate, which is beneficial to process improvement and efficiency enhancement.

The present invention relates to the field of chemical synthesis, and in particular to a process improvement method for preparing pinoxaden. The method includes two-step reactions of deamination and acylation, and an intermediate treatment step. In the process method, an inorganic base is used as an acid binding agent, which avoids the use of triethylamine, reduces the recovery process, is convenient for continuous production, and also satisfies the color state of the product, avoiding the decolorization process. At the same time, the process method greatly improves the reaction yield and product purity, the total reaction yield can reach 95%, the product purity can reach 99%, and the operation is simple, no special reagents are used, the cost is low, green and environmentally friendly, and is suitable for industrialized scale-up production.

The invention relates to a method for creating a residual stress distribution simulation model of a glass sealing electric connector, which comprises the following steps of: actually testing material characteristics, constructing a three-dimensional entity simulation model and a model hexahedral mesh of the glass sealing electric connector, importing material characteristic parameters into the constructed geometric mesh, and establishing a residual stress distribution simulation model of the glass sealing electric connector. The residual stress distribution condition of the sealed electric connector is analyzed and solved through a full Newton-Rafson iteration method and an updating Lagrangian method based on large strain, and if the error between an experimental result and a simulation result is larger than 10%, the model needs to be corrected and optimized until the error between the simulation result and the experimental result is smaller than 10%. The constructed model can accurately and efficiently simulate the influence of different process parameters, device materials and geometric structures on the sealing quality, solves the problems of high cost, long period and difficulty in comprehensive acquisition of internal stress distribution in the existing experimental test research of residual stress, provides powerful support for product design optimization and process improvement, and has a wide application prospect. And the product quality and reliability are obviously improved.

Techniques disclosed herein pertain to region building for cloud networks and, particularly, for region building process improvements. The techniques include accessing first configuration instructions for building a physical region of a cloud service provider and executing the first configuration instructions. Executing the first configuration instructions causes a first graph that includes nodes to be traversed. A second graph for replacing the first graph can be selected from among candidate graphs. The candidate graphs are generated by reducing an execution time associated with a node of the nodes of the first graph. Second configuration instructions that include instructions for traversing the second graph are generated and executed. Executing the second configuration instructions causes a second graph that includes the nodes to be traversed.