69 results about "Process efficiency" patented technology

The invention discloses an artificial intelligence-based refining process efficiency optimization and real-time temperature control method and system, and the method achieves the efficient optimization and precise temperature control of a refining process through the innovation of four steps: 1, breaking through the limitation of traditional single-point monitoring, and deploying a multi-modal sensing array and a feed port near infrared spectrum sensor according to three-dimensional coverage; process-raw material two-dimensional data are collected in real time and associated, and the problem of data islands is solved; 2, innovatively constructing a'process-raw material 'two-dimensional feature vector, predicting a finished product rate by adopting an XGBoost model, and judging a dynamic power adjustment demand in combination with a threshold value to replace a traditional experience decision; thirdly, on the basis of the value output by the DQN model, an optimal dynamic temperature curve is calculated in a staged mode, and then the problem of fixed curve stiffness is solved through a generated precise power instruction; and fourthly, a three-level aging standard reaching mechanism is created for the first time, and an effect closed loop is formed corresponding to a differentiated scheme of model strengthening, local compensation and cross-furnace repairing.

The invention relates to the technical field of information technology data processing, and provides an intelligent examination and approval decision-making system and method based on block chain technology change design, which constructs a change process model by obtaining project information and user change demands, and realizes intelligent processing and examination and approval of user change design based on the change process model. The business process data is stored and verified through the block chain technology, and the tampering resistance and traceability of the data are improved; meanwhile, the examination and approval result is verified by using the service examination and approval simulation model, so that the accuracy of examination and approval decision is improved. According to the method, the problems of fragmentation of an approval link, low flow efficiency and the like in an information processing process in the prior art are solved, the safety and transparency of engineering change design management are improved, multi-party cooperative work is promoted, and scientific and efficient decision support is provided for project managers.

The invention provides a bearing device and semiconductor process equipment, and relates to the technical field of semiconductors. The bearing device comprises a base table, an adjusting ring and fingers, wherein a deposition ring is fixedly arranged on the table top of the base table; the top surface of the deposition ring is provided with a first ring surface and a second ring surface, the first ring surface is used for bearing a wafer, and the second ring surface is provided with a limiting structure; the adjusting ring is lapped and limited on the second ring surface through a limiting structure; the multiple fingers are arranged on the peripheral side of the base table in a surrounding mode at intervals. The finger has a support structure for supporting the wafer and the adjustment ring. And the fingers and the base station are configured to be capable of placing the wafer downwards or separating the wafer upwards from the first ring surface and placing the adjusting ring downwards or separating the adjusting ring upwards from the second ring surface in the relative lifting process of the fingers and the base station. In the process of dismounting or replacing the adjusting ring, the adjusting ring is placed downwards or separated upwards from the second ring surface, and the cavity of the semiconductor process equipment does not need to be opened, so that the operation process is simplified, the cost is reduced, and the process processing efficiency is ensured.

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module. According to the method, the corrected plate layer temperature after incomplete freezing is accurately recognized according to double criteria of the freezing center temperature and the temperature drop trend, and after the drying efficiency deviation degree is calculated and the abnormal type is determined by utilizing the preset efficiency interval, the related preset process conditions are adjusted; meanwhile, stagnation and overheating runaway are independently diagnosed and analyzed on the basis of time sequence correlation of the water content decreasing rate and the center temperature increasing rate, the preorder freezing defect is traced when secondary drying is normal but overtime does not reach the standard, and the slab layer temperature is reduced in an equal proportion according to the freezing defect degree; the problem that the process efficiency and the product quality stability are difficult to consider at the same time due to dependence on artificial experience, stage splitting and lack of dynamic feedback is effectively solved.

The invention discloses an increment testing method and device, a storage medium and electronic equipment, and the method comprises the steps: constructing a dependency graph for describing the dependency relationship between software components in a software system according to software system data, and carrying out the continuous integration of the software components on the basis of a code change set corresponding to a current continuous integration task; a minimum candidate influence range is determined on the dependency graph, a candidate test set is delineated, tests in the candidate test set are ranked according to the sequence of risk scores of all the tests from high to low, a target candidate test set is obtained, all the tests are processed through a greedy approximation algorithm, and a target candidate test set is selected under the constraint of resource budget; and the minimum and optimal test set of software system defects is found to the maximum extent. According to the method, the minimum candidate influence range is determined on the dependency graph based on the code change set, the greedy approximation algorithm is combined, intelligent and accurate selection of the test set under the resource budget constraint is achieved, it can be guaranteed that the defect detection rate is not reduced, and the continuous integration process efficiency can be improved to the maximum extent.

The invention belongs to the technical field of additive manufacturing, and particularly relates to a laser strengthening method for regulating and controlling surface and interface characteristics of additive repair, which comprises the following steps: S1, pretreating a base material; s2, coaxial powder feeding is carried out on the base material, and an additive repairing layer is prepared on the to-be-repaired interface of the base material; s3, laser interface gradient strengthening; and S4, carrying out subsequent treatment and performance detection on the base material. According to the method, a protective coating is not needed, and the technological process is simplified; for interface defects of the regulation and control table, accurate regulation and control on the characteristics can be realized according to specific application requirements; in the application of additive repair, higher surface / interface quality is expected to be realized; through a coating-free high-power-density laser strengthening technology and a composite regulation and control mechanism, remarkable effects are achieved in the aspects of surface and interface performance, process efficiency, applicability and the like, the interface bonding performance is remarkably improved, the microstructure and mechanical performance are optimized, the process efficiency and controllability are good, and the engineering application value is outstanding.

The invention relates to the field of compliance authentication intelligent processing, and discloses an authentication whole-process efficiency improving method, which comprises the following steps: receiving an authentication evidence material, and extracting structured information of the authentication evidence material based on an authentication knowledge base; making an authentication plan based on the structured information; performing association matching on the authentication plan and structured expert experience in an authentication knowledge base, and determining a to-be-audited check item set; and based on the to-be-audited check item set, performing conformity judgment on the authentication evidence material, determining a conformity state of the authentication evidence material relative to the check item requirement, and generating an audit conclusion for auditing the check sheet. The end-to-end automation of the authentication process is realized by constructing and utilizing the structured authentication knowledge base, so that the authentication efficiency is remarkably improved, the labor cost is reduced, and the consistency and accuracy of the auditing process and the result are ensured.

Provided is a method and system (108) for building and leveraging a knowledge fabric (110) in a Software Development Lifecycle (SDLC). A plurality of SDLC artifacts are received from a plurality of heterogeneous data sources (102). The plurality of SDLC artifacts are then correlated to build an end-to-end correlation and are clustered to generate an SDLC knowledge fabric (110). This includes extracting semantic and contextual data from the plurality of SDLC artifacts using Natural Language Processing (NLP) and deep text analytics and transforming the extracted semantic and contextual data to knowledge graphs. One or more actionable items (112) are then derived using the SDLC knowledge fabric (110) and the one or more actionable items (112) are used to improve overall process efficiency and accelerate software delivery in the SDLC.

The invention relates to a system and a method for an enhanced atomic layer etching process using a single process gas, and discloses an atomic layer etching (ALE) method and a system using a single gas or a single mixed gas in the whole process so as to improve the process efficiency. The method includes setting durations for a surface modification step and a sputtering step, wherein the duration of the sputtering step is set to minimize any additional surface modification occurring during the step. In addition, the invention also adopts a customized waveform generator to quickly and accurately control the bias of the substrate. And the ALE time is obviously shortened while the high precision of semiconductor manufacturing is maintained.

The present application relates to an American Society of Mechanical Engineers (ASME) Bioprocessing Equipment (BPE) compliant continuous stirred tank reactor (CSTR) array designed for continuous chemical, pharmaceutical, and biotechnological applications. Each array features two to five CSTRs incorporating a comprehensive recirculation and output flow system with a positive displacement pump, a three-way recirculation diverter valve, and control valves for precise management of output and waste allowing handling of solutions, suspensions, and mixtures of fluids, solids, and gases. Additional features support easy maintenance and real-time process monitoring, enhancing operational flexibility and control. This CSTR system is tailored to meet stringent industry standards and improve process efficiency.

The application relates to the technical field of automation equipment, aims to solve the problem of how to improve the process efficiency of a cleaning device, and provides a cleaning module and a cleaning device. The cleaning module comprises a dust sticking film, a material discharging assembly, a material collecting assembly, a dust sticking assembly and a gravity rod. The material discharging assembly comprises a first driving element and a material discharging shaft, one end of the dust sticking film is wound on the material discharging shaft, and the first driving element is in transmission connection with the material discharging shaft. The material collecting assembly comprises a second driving element and a material collecting shaft, one end of the dust sticking film away from the material discharging shaft is wound on the material collecting shaft, and the second driving element is in transmission connection with the material collecting shaft. The dust sticking assembly is in contact with the dust sticking film, and the dust sticking assembly is used for cleaning the surface of a target piece. The gravity rod has a starting position and a completion position which are opposite in the vertical direction, and the gravity rod can reciprocatingly ascend and descend in the vertical direction to descend from the starting position to the completion position or ascend from the completion position to the starting position. The application has the beneficial effect of improving the process efficiency of the cleaning device.

According to the stirring and mixing device capable of improving the uniformity, a periodic sweeping track is formed in the axial lifting process of the flexible stirring belt, a laminar flow dead zone of a traditional stirrer is broken through, radial cutting of the spiral blades and axial vortex superposition of the stirring belt enable materials to form complex convection in a three-dimensional space, and the uniformity of the materials is improved. The traditional'pre-grinding and mixing 'two-step process is integrated to be completed by single equipment, the component segregation risk caused by material transfer is reduced, and through a vortex-lifting-grinding triple coupling mechanism, remarkable advantages are formed in the three aspects of mixing uniformity, process efficiency and equipment integration degree; and the method is particularly suitable for the fields of nano materials, biological agents and high-added-value chemicals with strict requirements on component consistency. The core value of the system is that crushing, dispersing and mixing processes of traditional separation are integrated into a dynamic self-adaptive system, and an innovative normal form is provided for process-equipment collaborative optimization in intelligent manufacturing.

The invention provides an ejector pin supporting mechanism, an adjusting method of the ejector pin supporting mechanism and thin film deposition equipment. The ejector pin supporting mechanism comprises an ejector pin supporting plate arranged below the ejector pin, and a plurality of mounting grooves are formed in the upper surface of the ejector pin supporting plate; and the plurality of ejector pin supports are detachably mounted in the at least one mounting groove of the ejector pin supporting plate so as to align to the corresponding ejector pins, so that the equipment debugging complexity is reduced, the process switching period is shortened, the process cost is reduced, and the process efficiency is improved.

The utility model discloses a device for improving the efficiency of a horizontal flow precipitation separation process based on turbulent laminar flow and shallow pool precipitation, which relates to the technical field of water purification treatment and comprises a bottom fixing support fixedly connected to the bottom of an inverted V-shaped folded plate, and a side fixing support fixedly connected to the side of the inverted V-shaped folded plate. According to the device for improving the efficiency of the horizontal flow precipitation separation process based on turbulent laminar flow and shallow pool precipitation, n layers of inverted V-shaped folded plates are arranged in the horizontal flow pool in the water depth direction, so that the pool depth forms n + 1 layers, a multi-layer parallel horizontal flow precipitation pool is formed, according to the shallow pool precipitation theory, the precipitation efficiency can be improved to n + 1 times compared with that of a conventional horizontal flow pool, and the efficiency of the horizontal flow precipitation separation process is improved. One or more layers of inverted V-shaped folded plates are mounted close to the bottom of the pond, so that the hydraulic flow state of the bottom of the pond is changed, the hydraulic turbulence at the bottom is reduced, the Reynolds number is reduced, and the water flow at the bottom tends to laminar flow, thereby inhibiting the bottom mud from floating due to turbulence. The stability of the precipitation effect is ensured. And secondary muddy water return of the precipitated water is avoided.

The invention provides a tunnel construction process management system and method, and relates to the technical field of tunnel construction, and the system comprises an information obtaining unit which is used for obtaining process creation information; the data splitting unit is used for performing data splitting on the process creation information to obtain subitem creation process information; the energy efficiency detection unit is used for carrying out process energy efficiency detection on the process information for creating the subitem to obtain a process efficiency index; the subitem optimization unit is used for performing subitem process optimization on the process efficiency indexes to obtain corresponding optimized subitem process information; the working procedure splicing unit is used for splicing working procedures so as to fuse and generate tunnel construction working procedures; and the dynamic optimization unit is used for carrying out influence evaluation on the tunnel construction process so as to carry out dynamic management optimization on the tunnel construction process. According to the system and the method provided by the invention, site construction conditions can be better matched, the response capability of process execution parameters is improved, and effective management of tunnel construction processes is ensured.

The present application relates to an American Society of Mechanical Engineers (ASME) Bioprocessing Equipment (BPE) compliant continuous stirred tank reactor (CSTR) array designed for continuous chemical, pharmaceutical, and biotechnological applications. Each array features two to five CSTRs incorporating a comprehensive recirculation and output flow system with a positive displacement pump, a three-way recirculation diverter valve, and control valves for precise management of output and waste allowing handling of solutions, suspensions, and mixtures of fluids, solids, and gases. Additional features support easy maintenance and real-time process monitoring, enhancing operational flexibility and control. This CSTR system is tailored to meet stringent industry standards and improve process efficiency.

This invention reveals a diagnostic and blockage detection system for direct heating process furnaces, aimed at enhancing operational efficiency and safety. The system comprises an accurate dynamic model of the furnace, measuring equipment, and a fault identifier, which work in conjunction to monitor and analyze furnace performance. The dynamic model is constructed using thermodynamic principles, heat transfer, and mass transfer relationships. It is implemented on a powerful computer and calibrated using dimensional specifications and real system data. The model incorporates empirical and semi-empirical relations governing the thermodynamic conditions of crude oil, as well as heat transfer coefficients in both single-phase and two-phase regimes, considering the effects of flame height and combustion conditions. To facilitate real-time monitoring, the system employs various measuring devices, including thermocouples (7) and pressure sensors (6), to capture essential parameters such as fuel flow rate, combustion air flow rate, combustion temperature, and the temperature, pressure, and flow rates of input and output crude oil. These measured values serve as inputs to the mathematical model, allowing for the comparison of model outputs with actual system performance. The fault identifier is designed to classify data into acceptable and unacceptable categories, issuing alerts when the blockage level in the pipes (10) exceeds predetermined thresholds. This functionality enables operators to take preventive actions, such as clearing blockages or performing maintenance, ensuring optimal furnace operation. Overall, this innovative device significantly enhances the ability to detect and analyze blockages in direct heating furnaces, thereby improving operational reliability and reducing downtime, ultimately contributing to better process efficiency in industrial applications.

The invention discloses a water-saving optimization method for a circuit board copper deposition process, and aims to improve the process efficiency, reduce the cost and reduce the environmental influence by optimizing the water resource consumption in the copper deposition process. The use of water resources is optimized through data monitoring, intelligent control and algorithm modeling. Real-time monitoring equipment is installed, data such as temperature, water flow and copper deposition liquid components are collected, and the rule of water resource consumption is identified through data analysis. Based on historical data, the use trend of water is predicted through an algorithm, and technological parameters such as current density, copper deposition time and temperature are adjusted, so that the utilization efficiency of water is improved. Through dynamic optimization control, water resource consumption in the copper deposition process is adjusted in real time, and unnecessary waste is reduced. By reducing the liquid replacement frequency and optimizing the recovery system, the wastewater treatment cost is reduced, and the environmental pollution is reduced. The method not only improves the production efficiency and the copper deposition quality, but also achieves remarkable effects in the aspects of saving resources and reducing environmental influence.

The invention relates to a semiconductor device and a manufacturing method thereof, and electronic equipment, and relates to the technical field of integrated circuits, by optimizing a process sequence, firstly forming a capacitor, then forming a horizontally extending word line, and then forming a vertically arranged bit line, the process design is reasonable, the process sequence is simple and easy to form, the process procedures are few, the process efficiency is high, and the cost is low. The production efficiency is improved, and the production cost is reduced.

This invention discloses a method for cross-production line issue volume entrustment processing and PDCA closed-loop reconciliation management. It achieves full-process control of issue volumes from application, processing, confirmation to final destination through a Plan-Do-Check-Act cycle. The system binds full-dimensional data of the entrusting and processing parties, automatically reconciling changes before and after processing, solving the pain points of information asymmetry and unclear reconciliation in traditional models. Simultaneously, it improves process efficiency through front-end color-coded status differentiation and one-click filtering. This method is applicable to multi-unit collaborative metallurgical production lines, significantly improving the standardization and traceability of issue volume processing. This invention has been practically implemented in state-owned steel plants.

The invention belongs to the technical field of information interaction, and provides an interaction method and system combining a domain knowledge graph and dynamic intention clarification, and the method comprises the steps: analyzing a table structure in an enterprise management system database, mapping fields into entity attributes of the knowledge graph, extracting rules in a business process document of an enterprise management system, and storing the rules in the business process document of the enterprise management system; converting into relation constraints of the knowledge graph, wherein each relation is configured with a weight value; the input of a user is obtained, semantic recognition is conducted on the input through a pre-trained large model, key elements of the intention of the user are extracted, the priority of missing item content is calculated according to the weight value and the key elements, and the missing item content needing to be clarified is recognized according to the priority; generating a clarification problem according to the missing item content needing to be clarified; and obtaining an answer of the user about the clarified question, and performing integrity, consistency and compliance verification on the answer. The clarification process efficiency can be improved, and the user experience is improved.

The application discloses a kind of distributed application batch release method, it is characterized in that, for user, provide a one-key node release configuration and the program entrance of the deployment center of monitoring, in DeployCenter, after the node search range that needs to be released is selected and configuration update is completed, one-key can be completed node batch upgrade, DeployCenter is preset with a finite state machine, reach the solidification of all operations of operation and maintenance personnel in node batch upgrade, replace the operation of operation and maintenance personnel by program, replace the number of operation and maintenance personnel by thread number, so that the process efficiency of application node batch release is greatly improved, unified process control can be accurately and timely found in the process of release Abnormal and make interrupt processing, compared with original multi-person operation, greatly reduce the possibility of error caused by communication effect.

The invention provides a method, a system, equipment and a medium for realizing unified process management, and the method comprises the steps: building an extensible access architecture based on a multi-protocol adaptation layer and a dual-interface separation mechanism, and achieving the standardized access and elastic data management of a heterogeneous system through the combination of dynamic business object modeling; a four-layer processing system with data full life cycle management as a core is constructed, and flow data standardization management is achieved through a dynamic rule engine and hierarchical storage; a full-link process intelligent sensing and self-adaptive early warning system is constructed, and a rule engine is used for driving multi-stage alarm closed-loop management, process abnormity active sensing and hierarchical management and control; an intelligent closed-loop optimization system based on holographic modeling and AI diagnosis is constructed, and end-to-end process efficiency quantitative evaluation and continuous improvement are realized through dynamic digital twinning, so that the problems of data real-time performance, system compatibility and implementation economy of a process management technology based on a data platform are solved.

A system and method for stochastic optimization of manufacturing and supply chain processes are disclosed. The system comprises a processor and memory configured to receive a plurality of tasks associated with a process, along with data items for each task. The data is processed through various modeling modules, including yield, cycle time, throughput, on-time delivery, cost, and financial results modeling modules. The system analyzes the data to determine metrics and provides recommendations for optimization. The method includes steps for determining statistical distributions, identifying bottlenecks, calculating cycle times, and refining estimates to improve process efficiency. The system outputs metrics and recommendations via a user interface, enabling proactive management and optimization of manufacturing and supply chain metrics. This approach addresses the limitations of traditional heuristic and deterministic models by providing a comprehensive, integrated solution for process optimization.

This invention discloses a leaf spring for a suspension system, including a leaf spring body, wherein the leaf spring body has a folded structure and is made of composite material. The leaf spring for the suspension system of this invention, made of composite material, achieves high strength and lightweight; the folded structure reduces production costs and improves process efficiency. This invention also discloses a vehicle including the aforementioned leaf spring for the suspension system.

The present application relates to the technical field of intelligent control, and especially relates to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module.The present application accurately identifies the temperature of a board layer after incomplete freezing by means of a double criterion of a freezing center temperature and a temperature drop trend, adjusts relevant preset process conditions after calculating a drying efficiency deviation and determining an abnormal type by using a preset efficiency interval, and independently diagnoses and analyzes stagnation and overheating out of control based on the time sequence correlation of a moisture content drop rate and a center temperature rise rate, traces back to a previous freezing defect when secondary drying is normal but overtime is not up to standard, and proportionally retreats the temperature of the board layer according to a freezing defect degree, thereby effectively solving the problem that process efficiency and product quality stability are difficult to balance due to reliance on artificial experience, stage fragmentation and lack of dynamic feedback.

A data analysis device, for analyzing efficiency of an assembly line operation including processes, includes: an input interface configured to acquire log data indicating a history of the processes respectively performed for each time of the assembly line operation; and a control circuit configured to generate analysis information indicating an analysis result of the history indicated by the log data, based on information generated by a probability model to calculate probability distribution for the assembly line operation. The probability model is configured to: generate process efficiency distribution indicating probability distribution of efficiency for each process in the assembly line operation, and variation factor distribution indicating probability distribution of a factor probable to vary the efficiency of the assembly line operation in each process; and generate work efficiency distribution indicating probability distribution of the efficiency of the assembly line operation, based on the process efficiency distribution and the variation factor distribution.

The invention relates to the technical field of material science, and provides a photoelectric display material regeneration process optimization control method and system. The method comprises the following steps: acquiring a process node set, traversing historical process node state vectors, and collecting historical extraction, recrystallization, purification and drying state vector sets; traversing the vector set, performing association mapping scoring on the state variable and the action variable according to the node improvement variable, and constructing a hierarchical optimization strategy library; the method comprises the following steps: acquiring process nodes and state variables, executing process optimization control in combination with a hierarchical optimization strategy library, determining an optimization scheme, and performing optimization control on the process nodes based on the scheme, so as to solve the technical problems of low regeneration process efficiency and high energy consumption caused by complex and unstable process parameters of each key node in the traditional photoelectric display material regeneration process. The technical effects that the key node process parameters are accurately optimized through the layered optimization strategy library, the recovery efficiency of the photoelectric display material regeneration process is improved, and the energy consumption is reduced are achieved.

The utility model discloses a laser adjusting ring and a continuous stamping and drawing die for manufacturing the laser adjusting ring. According to the technical scheme, the continuous stamping and drawing die is provided with a lower die and a movable upper die; the upper die is provided with a punching die plate, a punching and stretching die plate and a cutting die plate which are used for punching, punching, stretching and cutting an original part so as to manufacture the laser adjusting ring, the laser adjusting ring manufactured through the continuous punching and stretching die can be rapidly formed, the single-piece machining time is short, and due to the fact that the continuous punching and stretching die does not have the cutting force effect, the secondary working procedure is avoided, and the production efficiency is improved. Meanwhile, the continuous stamping and drawing die is low in use and maintenance cost and operation threshold, the cost is reduced, in addition, due to the fact that the continuous stamping and drawing die is formed at a time and high in material utilization rate, the cost is further reduced, and the production efficiency is improved. The utility model has the beneficial technical effects of high process efficiency and lower cost.

The invention discloses a double-unit batch production optimization control method, which comprises the following steps of: 1) pre-arranging a steelmaking production plan according to a variety structure rolling demand plan transmitted by a hot rolling plant; (2) based on the logistics time optimization model, the plate blank is rapidly transported to the hot rolling process from the steelmaking process; (3) the model is solved, and if the arrival time of the hot rolling procedure of the target steel plate blank does not meet the rolling demand plan, the step (4) is executed; (4) according to the arrival time of the hot rolling procedure of the target steel plate blank, a steel rolling procedure is adopted to execute a rough rolling-finish rolling double-machine cooperative working mode, and the charging temperature is increased and the continuous rolling unit is maximized by optimizing the schedule, so that the efficiency of the hot rolling procedure is improved; and 5) generating an optimal scheduling sequence as a production scheduling strategy according to an optimized scheduling result. The method provided by the invention is beneficial to realizing reduction of production change loss and improvement of efficiency.