54 results about "Process verification" patented technology

The invention discloses an automobile wire harness process rule automatic matching method based on a knowledge graph, and the method comprises the following steps: collecting wire harness design data, and carrying out the standardization processing; analyzing the process rule base, extracting key attribute fields and generating a process rule metadata set; semantic modeling and structured fusion are carried out, and a process knowledge graph is constructed; performing semantic association analysis, causal constraint fusion and feasibility judgment processing by utilizing a semantic retrieval enhancement module; carrying out provable retrieval, risk assessment and conflict resolution based on the candidate process rule set; converting the target process rule set into a process instruction, and driving a design system to perform synchronous updating and rule labeling; and updating the process knowledge graph based on system feedback data, and outputting an optimized process verification report and updating a design version. The method is based on the knowledge graph and the semantic causal fusion technology, intelligent matching of the wire harness process rules is achieved, and the method has the advantages of being high in matching precision, high in interpretability and capable of achieving self-adaptive optimization.

The invention relates to a large language model long thinking chain verification method and device based on an inference process abstract. The method comprises the following steps: obtaining a to-be-verified inference thinking chain; abstracting the obtained reasoning thinking chain to obtain a linear path containing a key reasoning link; and gradually executing verification on the linear path by adopting a checker, judging whether each step is correct or not, positioning the first wrong step, regarding the subsequent steps as invalid, and not independently verifying. Compared with the prior art, the method has the advantages that an accurate and efficient verification scheme is provided, the preciseness of process verification is guaranteed, the verification and labeling cost is remarkably reduced, and large-scale data set construction and model training can be supported.

The invention relates to the technical field of SQL conversion, in particular to an SQL conversion quality optimization method, a medium and equipment, candidate intention labels of initial SQL statements are generated through an intention prediction model and a preset classification model, the matching degree of the candidate intention labels and an SQL syntax tree is verified, if the matching degree reaches the standard, the candidate intention labels are directly used, and if the matching degree reaches the standard, the SQL conversion quality is optimized. If the target intention label does not reach the standard, the structure information and the entity information are fused to recalibrate the target intention label, and evaluation deviation caused by intention misjudgment is effectively avoided; multi-dimensional quality evaluation is carried out on the basis of the target intention label, and specific problem information is recorded when the target intention label does not pass, so that accurate positioning of the problem is realized, and a clear direction is provided for subsequent correction; and for the initial SQL statement which does not pass the evaluation, the original demand of the user and the failure reason are fed back to the SQL generation model, and the whole-process verification is restarted after the new SQL is generated, so that the automatic repair of the SQL statement can be completed without manual intervention, and the automation level and accuracy of SQL conversion are greatly improved.

The invention relates to the technical field of distribution network scheduling, and discloses a distribution network scheduling comprehensive instruction intelligent disassembly and direct remote control method, which comprises the following steps of: constructing a digital distribution network model, a dynamic node branch type topological structure, a dual rule library and an equipment comprehensive state library; the method comprises the following steps: analyzing an instruction core demand through entity identification, and performing three-level disassembly and verification to form a candidate instruction sequence; performing local state initial judgment, whole network topology analysis and whole process verification; quantifying and grading risks, and screening qualified instructions in combination with permission verification; and issuing an instruction according to a topological sequence, confirming completeness through double check, synchronously updating data and carrying out secondary false alarm prevention. According to the method, a standard operation sequence is efficiently generated through BERT three-level disassembly instructions in combination with multi-level anti-misoperation verification and linkage risk and authority control by depending on topology dynamic updating and direct remote control, the misoperation risk is reduced, and the distribution network scheduling safety and efficiency are balanced.

The invention relates to the technical field of digital identity authentication, in particular to an online insurance policy verification method and system and a storage medium. The method comprises the following steps of: authenticating a user identity by adopting a living body detection and certificate OCR (Optical Character Recognition) technology, identifying tampering by using an image tampering detection model, and generating a structured request data packet through an improved OCR content extraction technology; retrieving benchmark insurance policy data in a distributed insurance policy database, and calling a multi-version data fingerprint sequence from a block chain; comparing the reference insurance policy data with the structured request data packet, and outputting a first verification result; matching the structured request data packet with the multi-version data fingerprint sequence, and outputting a second verification result; and generating a final verification conclusion based on the first and second verification results. According to the method, multiple technologies are fused to construct a whole-process verification system, compared with a single verification mode, the anti-fraud capability is improved through multi-dimensional cross verification, and related requirements of financial supervision on Internet insurance services are met.

A method for cutting the lower cover plate of a railway freight car traction beam, belonging to the field of railway freight car component processing technology, includes three steps: pre-layout, optimized layout, and process verification. Pre-layout involves first arranging the lower cover plates of the traction beam, and then nesting the small parts required for railway freight car component processing within the remaining material of the lower cover plates. Optimized layout includes determining the position and size of the process tie rods based on the pre-layout, adjusting the position of the lower cover plates of the rear traction beam so that the front end of the rear lower cover plate is nested within the opening end of the previous lower cover plate, and determining the specifications of the raw materials based on the layout results. Process verification involves selecting a raw material according to the specifications of the raw materials in the layout diagram for a cutting production experiment, and tracking and verifying the cutting dimensions and welding quality of the lower cover plate of the traction beam. This invention can effectively reduce waste of remaining material, improve material utilization, and also reduce the time spent manually assembling process tie rods, improving production efficiency and ensuring part quality.

The application provides a propellant supplementing full-process verification test system, which comprises a test table fixed base, a moving platform arranged on the test table fixed base, the position of the moving platform relative to the test table fixed base being adjustable, a docking mechanism comprising a docking mechanism active end and a docking mechanism passive end, the docking mechanism active end being fixedly arranged on the test table fixed base, and the docking mechanism passive end being fixedly arranged on the moving platform, the propellant supplementing pipeline being in communication when the docking mechanism active end and the docking mechanism passive end are coupled, a pressure sensor being arranged in the propellant supplementing pipeline, and the pressure sensor being used for monitoring the air pressure in the propellant supplementing pipeline in real time. The application solves the problem that the full-process task function verification of mechanism docking, propellant supplementing, high-pressure gas supplementing and mechanism separation cannot be verified in the prior art.

The application provides a reasoning process determination method and device based on a large language model, equipment and a medium, relates to the technical field of artificial intelligence, and is applied to a large language model. The large language model is deployed with a pre-constructed autonomous system of an intelligent agent. The autonomous system of the intelligent agent includes a master intelligent agent and an intention arrangement intelligent agent. The method comprises the following steps: obtaining a natural language to be processed, inputting the natural language to be processed into a pre-trained large language model, performing intention recognition and process reasoning on the natural language to be processed by the master intelligent agent to obtain a reasoning result, performing process arrangement and process verification based on the reasoning result by the intention arrangement intelligent agent to obtain a processing process, and performing process processing and intention reasoning based on the processing process by the large language model to obtain and output a reasoning conclusion. The method can obtain accurate reasoning results and accurately execute the processing process, thereby outputting accurate reasoning conclusions and improving the accuracy of the reasoning conclusions.

This invention relates to the technical field of self-service payment, and in particular to an unmanned self-service payment system, comprising: a data acquisition module, a data analysis module, a storage module, an alarm module, a storage mechanism, and a central control module. The central control module receives data uploaded from each module, issues control commands, verification tasks, and deep learning model inference scheduling commands, coordinates the collaborative operation of each module, and executes the linkage control logic of the device door lock. Through a core control logic combining mobile phone locking with deep learning-based full-process verification and door lock linkage, it fundamentally eliminates the occurrence of multiple or incorrect items and malicious evasion of payment, achieving full-process control with zero loss and no loopholes, adapting to all product categories. The entire process utilizes a mature, standardized deep learning model, requiring no customized improvements, significantly reducing system development costs and edge deployment difficulty, and improving device operational stability and commercialization capabilities.

The invention relates to a modeling method and device for a power business process, computer equipment and a storage medium. The method comprises the following steps: acquiring graphical power business process data; converting the power business process data into a formal semantic model based on a token; determining a model state space scale of the formal semantic model, and performing process verification on the formal semantic model by adopting a verification mode matched with the model state space scale to obtain a verification result; and adjusting the formal semantic model according to the verification result, and taking the adjusted formal semantic model as the power business process model. By adopting the method, the modeling operation difficulty of the power business process model can be reduced, and the modeling efficiency can be improved.

Embodiments of the present disclosure relate to the technical field of chemical engineering process scale-up, and specifically provide a process parameter optimization method and device for large-scale production of ternary positive electrode materials. The method comprises: obtaining reference data corresponding to a target process section of large-scale production of ternary positive electrode materials, the reference data including a set of pilot process parameter values, a set of pilot quality detection values, and a set of large-scale production quality target values; retrieving matching historical data from a pre-set historical database, the historical data including historical process parameters and quality detection data of pilot and large-scale production; using a process parameter optimization model corresponding to the target process section, obtaining a set of predicted values of large-scale production process parameters based on the above data; carrying out large-scale process verification according to the predicted values, if the deviation between the actual value of the verified product quality and the quality target value meets a pre-set condition, determining the set of optimized process parameters, otherwise adjusting the parameters and iteratively verifying until the pre-set condition is met.

The invention provides a distributed transaction state processing method and device, a storage medium and electronic equipment, and relates to the technical field of computers, and the method comprises the steps: firstly generating a unique request identifier and executing a transaction operation when a business system receives a transaction request from a superior first system; and the system synchronously records transaction information, wherein the transaction information comprises a request identifier, a superior system request identifier, a transaction execution result, a verification level and a postmortem verification strategy. And if the transaction execution result is in an unknown state, starting an in-event verification mechanism, and initiating a verification request to a second subordinate system according to a preset strategy. And when the in-event verification still continuously returns to an unknown state within a preset number of times, the system submits a to-be-verified request to the centralized verification processing platform, and the platform is triggered to start polling verification according to an after-event verification strategy. And finally, receiving a transaction state determination notification returned by the platform, and executing corresponding business operation according to the notification. And the transaction consistency of the business system can be effectively guaranteed.

The invention relates to the technical field of sheet metal part bending processes, and discloses a bending process verification method and system based on multi-source parameter linkage, and the system comprises a drawing information acquisition module, an automatic parameter calling module, a parameter analysis and calculation module, a bending process quadruple verification module and a verification result output module. The method comprises the steps of obtaining design parameters of a bent part through a design drawing, receiving empirical values input by a user, completing automatic calling of the parameters through a built-in material mapping function and a built-in equipment mapping function, calculating key process parameters through a preset mathematical formula based on output parameters and a calling result of a primary parameter calling layer, and determining the bending degree of the bent part on the basis of the key process parameters. And performing quadruple verification on the bending process by combining a calling result of the secondary parameter calling layer, outputting process guidance data, realizing automatic parameter mapping, and compressing process analysis time.

The invention discloses a multi-process parameter cooperative control system and method for a die-casting machine, and relates to the technical field of casting equipment control. According to the system, when a mold is in a thin mold state, mold thickness collaborative initialization is completed firstly, then the mold thickness and mold clamping force parameters are cooperatively controlled based on the result, and the minimum safe mold clamping force is determined; in the thin mold state, the mold thickness change rate under the minimum safe mold locking force is monitored in real time, and progressive cooperative control over the mold thickness is carried out; when the mold is in the mold thickness state, the mold thickness and pressure parameters are cooperatively regulated and controlled according to the progressive cooperative control result, and the optimal mold clamping force peak value is determined; and when the mold is in the mold thickness middle state, fluctuation data of the casting forming process under the optimal mold locking force peak value are collected, the collaborative matching degree of the mold thickness and the fluctuation data is quantified, and full-process multi-technological-parameter dynamic collaboration from mold closing initialization to forming process verification is achieved.

The application discloses a kind of ice cream production line multi-process linkage control system, it is related to industrial control technical field, including, batch operation module, ice cream production line process section is divided and registered process flow, buffer capacity and occupancy state, according to the arrival, departure and occupancy record of batch section between process section, conveying path and bearing position, object relationship is completed, and batch section operation table is generated;Receive verification module, based on batch section operation table, verify the receiving condition of each process section, and mark blocked process section, batch section retention position and recovery sequence, generate process receiving table;Beat control module, call process receiving table to execute limited capacity batch section discrete event scheduling, and determine beat reference, cold quantity regulating amount and batch section field state in combination with measured state resynchronization reduced-order digital twin rolling control, generate process control table.The application improves batch traceability and process receiving accuracy in continuous operation by process verification and abnormal batch section reassignment.

This invention discloses a process verification method, device, storage medium, and industrial automation system, belonging to the field of automation control technology. The method includes: displaying judgment elements based on an interactive interface; configuring attribute parameters of the judgment elements according to preset process requirements; and, after running the program corresponding to the judgment elements, determining whether the operation process of the linear motor equipment meets the process requirements based on the attribute parameters of the judgment elements. This application achieves automated process verification of linear motor equipment based on visualized judgment elements. Compared with existing process verification methods that require code modification to cope with changes in process requirements, it has significant advantages such as more intuitive and convenient operation, higher debugging efficiency, and stronger universality.

This utility model relates to the field of hydraulic stamping forming, and in particular to a locking nut small end face torque point mold and system. The locking nut small end face torque point mold includes a base, on which a pressure point assembly and a touch-sensitive spring-loaded assembly are spaced apart. The pressure point assembly includes a lower die base, within which a pressure point cutting block is disposed. A die core is slidably sleeved between the pressure point cutting block and the lower die base, and a pressure rod is disposed on the die core. The touch-sensitive spring-loaded assembly includes a support plate, on which a contact sensor that cooperates with the pressure rod is detachably connected. This utility model, after process verification, significantly simplifies the installation and debugging process, effectively reduces operational difficulty and manual workload, and improves production line efficiency.

The invention belongs to the technical field of vehicle testing, and provides an automobile cross-country reliability test method which comprises the following steps: determining technical requirements of a vehicle; determining a site, wherein the site comprises a concave-convex characteristic road, a mountain land, a mud land, a wading road, a snowfield and a sand land; carrying out a vehicle off-road reliability test based on the site; and compiling a summary report based on a reliability test result. According to the method, the technical requirements of the vehicle are determined to ensure that the test object reaches the standard, multiple types of sites are covered to ensure that the verification scene is comprehensive, and the test is subsequently carried out according to the process and a summary report is formed, so that the problems of lack of system process and limited scene coverage of traditional verification are solved; the all-terrain reliability verification requirement of the off-road vehicle under the background of new energy and intelligence is met, the transformation from random verification to process verification is realized, the blank of all-terrain off-road reliability verification in the industry is effectively filled, and an off-road vehicle type reliability verification system is perfected.

This application provides a verification method, apparatus, storage medium, and device for backpressure flow control. The method includes: acquiring a backpressure model, which includes a backpressure component, an excitation component, and a monitoring component. The backpressure component is communicatively connected to the excitation component and the monitoring component through corresponding interfaces. The backpressure component includes modules corresponding to various backpressure types. After initiating simulation verification of backpressure flow control, in response to an excitation signal sent by the excitation component to the backpressure component, the backpressure component is triggered to execute a corresponding backpressure function. The monitoring component acquires the status information of the backpressure component, and the simulation ends after the monitoring component acquires the excitation signal. This method eliminates the reliance on RTL code delivery for backpressure process verification, allowing for earlier verification work, improving project verification efficiency, and shortening the project cycle.

The invention discloses an engineering project multi-source heterogeneous data global consistency verification and version tracing method, which comprises the following steps: acquiring a multi-source heterogeneous data file, and carrying out data analysis and information extraction; constructing a unified data model based on a knowledge graph by using the extracted information; creating a new-version snapshot for the generated knowledge graph, and judging whether a corresponding old-version snapshot exists or not; if the old-version snapshot does not exist, performing compliance verification on the new-version snapshot based on a static verification rule; and if the old-version snapshots exist, calculating a change set between the new-version snapshots and the old-version snapshots, and performing compliance verification on the change set based on a dynamic process verification rule. According to the method, multi-source heterogeneous data (such as computer-aided design CAD drawings, building information models BIM, project documents and the like) can be automatically integrated, and semantic-based global consistency verification, refined version control and traceable engineering change process management are carried out on the multi-source heterogeneous data.

The invention relates to the technical field of product life cycle management, in particular to a pomegranate pancake full-process traceability management system based on a block chain. The specific implementation process comprises the following steps: collecting native quality data of a product raw material and value-added processing parameters of a processing process, and anchoring the native quality data and the value-added processing parameters to a distributed value account book; triggering a product auditing contract, automatically calculating a theoretical output amount, comparing the theoretical output amount with an actual output amount, and generating a process verification identifier; and performing hash locking on the verification identifier and the whole-process data to form a whole-cycle value resume, and when a quality defect is found, tracing the source of a quality problem and outputting a product whole-life-cycle survey report. According to the method, the native quality of the raw materials is deeply associated with the production process parameters, the automatic auditing contract is utilized to verify the product balance and construct the whole-cycle value resume, accurate attribution and deep traceability of the product quality problem are realized, and the transparency and the quality control management level of the whole process of product production are effectively improved.

Methods, apparatuses, devices, media, and program products for payment and information processing are provided. The method includes: obtaining a plurality of events associated with a payment process of an intelligent agent; generating a plurality of event verification information corresponding to the plurality of events based on event content of the plurality of events; and constructing process verification information corresponding to the payment process based on time sequence information of the plurality of events and the plurality of event verification information. In this way, a plurality of types of objects in the payment process can be uniformly organized as verifiable events, and structured process verification information can be formed based on the time sequence and the causal relationship, thereby supporting subsequent on-demand reconstruction, verification, and provision, and improving traceability efficiency and adoptability.

This application provides a multi-protection method and system for a storage media destruction machine, relating to the field of data security technology. The method includes: the storage medium entering the destruction chamber; reading the unique identification information of the storage medium and comparing it with a preset authorization database for verification; creating a dynamic security zone; performing operator identity verification, external authorization verification, and storage medium status verification; and executing the destruction operation when all three authentications pass; activating multi-source sensors for data acquisition; sending multi-modal sensor data to an abnormal authentication channel; and performing multi-protection destruction based on the destruction encryption digest, a one-time destruction pass code, and multi-modal sensor data. This application solves the technical problem in the prior art where incomplete trust chains and black-box process verification lead to leakage risks of storage media before and after destruction, and unreliable audit results, thus affecting the security of the destruction operation. The multi-protection approach improves the security of the destruction operation.

The invention provides a pumped storage power station monitoring system control flow standardization test method and system, and the method comprises the steps: generating a standard test case set covering all key control branches based on a pumped storage power station control operation sequence and an equipment state constraint condition, and obtaining a standard test case library; based on the standard test case library, designing a multi-frequency vibration suppression equipment state feedback simulator, simulating an equipment state response signal through the equipment state feedback simulator, and outputting an equipment response data stream; performing step-by-step verification on the control logic of the monitoring system based on the equipment response data flow to obtain a control flow verification result; and based on the control flow verification result, performing result analysis to obtain a test result. According to the invention, the standardized test of the control flow of the pumped storage power station monitoring system is realized, and the comprehensiveness, consistency and repeatability of the test are improved.

The invention relates to the technical field of laser cladding, and discloses a laser cladding process optimization forward design method based on thermal coupling analysis, which comprises the following steps of: establishing a single-pass and multi-pass laser cladding thermal coupling finite element simulation analysis model based on ABAQUS finite element simulation analysis software; the influence rule of laser process parameters (laser power, scanning rate and light spot diameter) on a temperature field and a stress field in the laser cladding process can be dynamically analyzed, and a molten pool solidification behavior and a stress evolution mechanism under the action of a laser heat source are disclosed; according to the method, a mapping relation among process parameters, microstructures and mechanical properties is established, so that forward design and optimization of laser process parameters are realized, the process trial and error cost is reduced, and a theoretical support and prediction tool is provided for subsequent development of a laser cladding process.

The embodiment of the invention relates to the technical field of chemical process amplification, and particularly provides a process parameter optimization method and device for large-scale production of a ternary positive electrode material. The method comprises the following steps: acquiring reference data corresponding to a target process section for large-scale production of the ternary positive electrode material, wherein the reference data comprises a pilot plant test process parameter value set, a pilot plant test quality detection value set and a large-scale production quality target value set; retrieving matched historical data from a preset historical database, wherein the historical data comprises historical process parameters and quality detection data of pilot plant test and large-scale production; utilizing a process parameter optimization model corresponding to the target process section to obtain a large-scale production process parameter prediction value set based on the data; and carrying out large-scale process verification according to the predicted value, if the deviation between the actual product quality value and the target quality value is verified to meet a preset condition, determining an optimized process parameter set, otherwise, adjusting the parameters and carrying out iterative verification until the preset condition is met.

This invention belongs to the field of biodetection technology, specifically relating to a highly sensitive and specific quantitative detection method for total RNA of Escherichia coli remaining during the production of biological products (such as recombinant proteins, vaccines, cell therapy products, etc.). In particular, it relates to the construction of a detection system based on reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) technology, primer and probe design, and standardized operating procedures, and further expands its application in drug quality control, process validation, and cleaning validation.

The invention discloses an electronic device aging prediction and life prolonging process optimization method, and relates to the technical field of electronic device reliability improvement. The method comprises the following steps: selecting electrical parameters, environmental parameters and physical characteristics of an electronic device as core aging characteristic parameters, and constructing a multi-dimensional electronic device aging characteristic database through acquisition and preprocessing; fusing an Arrhenius model, a cofen-Mannson model and an attention mechanism long-short term memory network model, constructing an electronic device fusion aging prediction model, and configuring an online learning correction module; a targeted process scheme is designed from the directions of heat dissipation optimization, stress relief and material improvement based on an aging mechanism; and completing model and process verification through an integrated verification platform. The residual life prediction error of the electronic device is less than or equal to 10%, the life of a typical electronic device is prolonged by more than 30%, the reliability of the electronic device can be improved, the operation and maintenance cost is reduced, and the method is suitable for full-life-cycle management of electronic devices in multiple fields.

The application discloses a die casting machine multi-process parameter cooperative control system and method, and relates to the technical field of casting equipment control. The system, when the mold is in a mold thin state, first completes mold thickness cooperative initialization, then cooperatively controls mold thickness and mold clamping force parameters based on the result to determine the minimum safe mold clamping force; when the mold is in a mold thin state, the mold thickness change rate under the minimum safe mold clamping force is monitored in real time, and progressive cooperative control of the mold thickness is performed; when the mold is in a mold thick state, the mold thickness and pressure parameters are cooperatively controlled according to the progressive cooperative control result to determine the optimal mold clamping force peak value; when the mold is in a mold thick state, fluctuation data of the casting forming process under the optimal mold clamping force peak value are collected, and the cooperative matching degree of the mold thickness and the fluctuation data is quantified, so that full-process multi-process parameter dynamic cooperation from mold closing initialization to forming process verification is realized.

A blanking method for a lower cover plate of a traction beam of a railway freight car belongs to the technical field of railway freight car component processing, and comprises three steps of pre-layout, layout optimization and process verification. Wherein the pre-layout comprises the steps of firstly arranging the lower cover plate of the traction beam, and then arranging small parts required for processing railway wagon components in excess materials of the lower cover plate of the traction beam in a sleeving manner; the layout optimization comprises the steps of determining the position and the size of a process brace according to the pre-layout, adjusting the position of a rear traction beam lower cover plate, enabling the front end of the rear traction beam lower cover plate to be embedded in the opening end of the previous traction beam lower cover plate, and determining the specification of a raw material according to a layout result; according to the process verification, one piece of raw material is selected for a blanking production experiment according to the specification of the raw material of the layout drawing, and the blanking size and the assembly welding quality of the lower cover plate of the traction beam are tracked and verified. Waste of excess materials can be effectively reduced, the material utilization rate can be improved, meanwhile, the working time of manual team-up process braces can be shortened, the production efficiency can be improved, and the part quality can be guaranteed.