231 results about "Hard coding" patented technology

The invention provides an intelligent data labeling method and system based on multi-modal fusion and large model verification, belongs to the field of artificial intelligence and data processing, and innovatively fuses multi-modal information such as an OCR recognition result, a layout structure, original image visual features and deep semantic analysis of a large language model (LLM). And a precise automatic labeling result credibility evaluation mechanism is constructed. According to the method, various errors in automatic labeling can be accurately recognized and adaptively corrected, and the errors comprise conventional error correction based on hard coding rules and complex semantic error correction driven by LLM. Meanwhile, the system can continuously optimize the data labeling capability of the system through an efficient man-machine cooperation and closed-loop feedback learning mechanism, and automatically precipitate domain knowledge assets. The invention aims to solve the problems of recognition accuracy bottleneck, heavy manual proofreading burden, lack of intelligent judgment and error correction, knowledge accumulation lag and the like in traditional document data labeling, so that the efficiency, accuracy and automation level of document data labeling are remarkably improved.

The invention discloses a hypergraph feature representation method, system and device based on fuzzy logic and a medium, and the method comprises the steps: obtaining original data, and constructing a hypergraph structure containing vertexes and hyperedges according to the original data; the hypergraph structure is initialized, and an initialized hypergraph structure is obtained; and inputting the initialized hypergraph structure into a preset hypergraph convolutional fuzzy network model for feature representation processing to obtain a hypergraph structure after feature representation processing. According to the hypergraph convolutional fuzzy network model, fuzzy representation and the hypergraph technology are deeply fused, the membership core concept of fuzzy logic is introduced, the hard coding association limitation of an existing hypergraph representation learning method that no black is white is broken through, the technical problems that a traditional hypergraph model cannot capture association gradients and fuzzy semantics are lost are effectively solved, and the learning efficiency is improved. Therefore, the flexibility and accuracy of the model are effectively improved, and stable prediction is provided in an uncertain data environment.

The invention discloses a configurable system for externally providing multi-source interface data, which comprises a flow arrangement engine, a data processing engine and a data processing engine, and is characterized in that the flow arrangement engine comprises a visual node arrangement interface, a dynamic input parameter module and a flow variable pool; through version isolation, new version configuration is automatically generated when a user modifies a process, an old version continuously processes a stock request until the stock request is completed, and a new request is automatically routed to the new version, so that service switching is non-aware, and the risk of service interruption caused by server stopping and restarting in a traditional scheme is eliminated; free combination of heterogeneous data source nodes through a graphical interface and dynamic adjustment of an execution sequence are supported, the solidification problem of a traditional hard coding process is solved, a process variable pool temporarily stores an intermediate result of each node for a subsequent node to reference through a preset format, the limitation that a multi-step result cannot be reused in a traditional scheme is solved, and flexible series connection of heterogeneous data sources is achieved; each configuration version has an independent process variable pool, an intermediate variable generated by an old version only serves a self task, a variable pool of a new version is completely isolated, data cross contamination during parallel of multiple versions is avoided, and result consistency is ensured.

The invention relates to a method, a device, equipment and a medium for dynamically configuring a window control and layout, and the method comprises the following steps: firstly, obtaining and analyzing an XML configuration file to generate a data model tree of a structured window interface in a memory; then, objects are dynamically created based on a Qt reflection mechanism, attributes and signal slots are set, Qt reflection characteristics are fully utilized, object creation and attribute processing are flexible and efficient, hard coding interface elements in the compiling stage are not needed, needed controls and layouts can be dynamically generated according to a data model tree, and the dynamic nature and expandability of interface configuration are greatly enhanced; establishing a set membership tree between the controls and the layouts in the recursive traversal process to obtain a complete interface tree; and finally, performing layout calculation and rendering to generate a display interface, so that automation of interface layout is realized, interface element layout can be automatically adjusted according to a data model tree structure, and efficient dynamic configuration of window controls and layout is realized.

The invention relates to the technical field of stage equipment intelligent control, provides a stage equipment linkage control method and system based on time sequence arrangement and protocol adaptation, and aims to solve the problem of poor stage control dynamic adaptability caused by hard coding binding of art time sequence logic and an equipment protocol in traditional stage control. The method comprises the following steps: constructing an artistic effect causal graph based on an artistic effect sequence, and deconstructing the artistic effect causal graph into a physical executable constraint set; calculating the capability confidence coefficient of the stage equipment in real time, performing dynamic Bayesian network deduction by taking the physical executable constraint set as an observation target and the capability confidence coefficient as a conditional probability, generating a layered executable plan set, and selecting an execution base plan from the layered executable plan set; the execution base plan is compiled into a target equipment protocol instruction, and the target equipment protocol instruction is distributed and executed through a corresponding protocol adapter, so that the stage control adaptive robustness and the art presentation guarantee capability under stage equipment heterogeneity and state dynamic change are remarkably improved.

The invention discloses a zero-configuration knowledge graph construction method, equipment and a medium, belongs to the technical field of knowledge graphs, and aims to solve the technical problem of how to overcome the hard coding defect in traditional knowledge graph construction, realize a more flexible construction mode with lower difficulty in use, further realize data source entity association and semantic fusion and improve the knowledge graph construction efficiency. According to the technical scheme, field name semantic analysis and data content analysis are conducted through a dynamic semantic analysis algorithm, and intelligent database deep analysis is achieved; the same entities in the multiple tables are automatically recognized and merged through a cross-table entity intelligent merging algorithm, and multi-table collaborative intelligent search is achieved; constructing an intelligent knowledge graph: automatically selecting an optimal construction strategy through a multi-strategy relation construction engine according to keyword role features, and independently constructing a local knowledge graph for each data table; and optimizing and intelligently exporting the knowledge graph.

The invention discloses a graphical interface automatic control code generation method based on a large model agent, which comprises the following steps of: firstly, generating a task execution track through interaction between a ReAct agent based on a large language model and a graphical interface environment, and translating a hard coding action in the track into a soft coding action based on a semantic positioning page element; constructing a track library of a tree structure; then, on the basis of information in the trajectory library, a retrieval enhancement mechanism is adopted to generate an RPA function capable of being independently executed, and the RPA function is synthesized on the basis of soft coding actions and is automatically injected into robustness control logic; then executing the RPA function, if execution fails, triggering breakpoint analysis, and optimizing the RPA function through a mixed trajectory; and finally, testing the generated RPA function, and selecting to execute the RPA code or back to the ReAct agent for execution according to a verification result. According to the method, an automatic generation process from an intelligent agent interaction track to a robust and reusable RPA function is realized.

The invention discloses a confidential evaluation compliance document automatic generation system and method based on strategic data management and control and full-link verification, and aims at solving the problems that traditional confidential evaluation document generation is low in efficiency, insufficient in safety protection, poor in expansibility and the like. According to the method, hard coding logic is replaced by a strategy engine center, a scene-template-strategy association mechanism is constructed, and full-process automatic generation of secret evaluation documents is achieved through scene configuration, intelligent template matching, parameter analysis, multi-dimensional data cleaning and desensitization, national secret standard automatic signing and full-process log management and control. The generation efficiency is remarkably improved, a sensitive data'identification-processing-protection 'safety closed loop is formed, the tamper-proof and auditing requirements of secret evaluation are met, a newly-added scene can be quickly accessed through strategy configuration, and the expansibility and reusability are excellent.

The invention provides an unmanned aerial vehicle calling system and method based on open source gap atomization service. The system comprises a gap equipment layer, an atomization service framework layer, a protocol hard mapping engine layer, a shared memory direct writing layer and a PX4 flight control layer which are in communication connection with one another. Wherein the gap equipment layer is used for carrying out atomization service standardization packaging on basic services of the unmanned aerial vehicle according to a gap system rule, and constructing an interaction channel between the unmanned aerial vehicle and various terminals; the atomization service framework layer is used for managing the atomization service of the unmanned aerial vehicle; the protocol hard mapping engine layer is used for constructing a hard coding mapping table of an unmanned aerial vehicle atomization service and a PX4 flight control instruction; the shared memory direct writing layer is used for constructing a direct connection framework between a shared memory area special for the unmanned aerial vehicle and a hardware module in a swan-gap system; and the PX4 flight control layer is used for carrying out direct execution on an instruction from the swan gap system through PX4 flight control and carrying out quadruple safety protection on flight control.

A nuclear power scene-oriented multi-source heterogeneous data acquisition and processing system realizes thorough separation of equipment access and data understanding through a decoupling architecture of acquisition side plug-in and service side normalization, acquisition plug-in only transmits original data, and semantic analysis is centrally processed by a unified physical model engine; the problem of hard coding coupling of the plug-in and the business logic is avoided; by defining a standardized equipment abstract model and shielding bottom layer manufacturer, protocol and format differences, various kinds of heterogeneous data are standardized on the semantic level, unified modeling and semantic alignment of the multi-source heterogeneous data are achieved, data of various internet of things equipment sources are effectively integrated, and the data processing efficiency is improved. The problems of unclear data semantics and difficulty in unified use caused by diverse equipment manufacturers, different communication protocols and heterogeneous data formats are solved, cross-system linkage is promoted, semantic understanding, structured analysis and standardized presentation of cross-protocol and cross-platform equipment data are realized, and the safety, efficiency and management level of a nuclear power station are improved.

The invention provides a method and a system for dynamically calling a kernel unexported function, which are used for dynamically acquiring a function address of an unexported kernel function and forcibly calling the function through a kProbes mechanism, matching with a function pointer type definition and a mechanism for forcibly converting the function address into a function pointer. The method not only supports the calling of the kernel function which is not exported, but also does not need to carry out hard coding on the address of the called kernel function, supports the dynamic acquisition of the address of the kernel function, avoids the change of the coincidence address caused by the difference of kernel versions, greatly enhances the compatibility of the software package of the kernel function which is not exported, and improves the reliability of the software package. And the packet does not need to be recompiled in each kernel small version, so that the problem that the kernel symbol table is not matched and the kernel module cannot be loaded is avoided.

The invention relates to the technical field of industrial automation control, discloses an integrated remote system control cabinet based on intelligent control, and solves the problems that a control system is poor in adaptability, collaborative optimization is difficult, and AI decision security is insufficient. An internally-solidified deterministic rule base is combined with a Gaussian mixture model, so that the macroscopic and microscopic states of the industrial process are accurately identified; a multi-agent cooperative control module of a centralized training and decentralized execution framework is adopted to carry out multivariable cooperative decision making; the efficiency evaluation and model optimization module is used for solving a control time lag problem by constructing a layered reward function and carrying out efficient offline training by adopting an agent model constrained by a physical mechanism; and the safety guarantee and system integration module performs safety boundary verification through a hard coding rule base, and integrates an MLOps operation and maintenance process to realize safe and reliable deployment of the model. According to the method, the adaptivity, the collaborative optimization capability and the full life cycle safety of industrial process control are improved.

The invention discloses a universal serial communication framing and de-framing method for external parameter configuration of an inertial sensor, which comprises the following steps of: dynamically defining a data frame structure by loading an external editable parameter file, including frame header byte content and position, various standard and non-standard data type codes of a data segment, a verification mode of a verification segment and frame tail parameters; in the framing process, the sensor data is converted into byte arrays according to a selected protocol, and complete data frames are assembled and output; and verifying the completeness of the frame header and the frame tail based on the same parameter file in the frame decoding process, executing verification calculation and analyzing the content of the data segment. According to the method, universal adaptation of different serial port communication protocols is realized, the problem of poor reusability of a traditional hard coding mode is solved, the communication processing efficiency and flexibility of the inertial sensing equipment are remarkably improved, and the method is particularly suitable for multi-protocol scenes such as fiber-optic gyroscopes and inertial measurement units.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

The invention relates to the technical field of data processing and large language models, and discloses a table building method and device based on cooperation of a large language model and a speculation algorithm. Comprising the following steps: analyzing a target file to obtain a header, sample data and sample statistical characteristics; performing preliminary inference on the header and the sample data based on a speculation algorithm to generate a preliminary inference result of the field; inputting the field name, the sample data, the sample statistical characteristics and the preliminary inference result into a large language model, and obtaining a corrected inference result of the field in combination with a preset cue word; generating a visual table structure according to the corrected inference result; and in response to a confirmation operation of the user on the visual table structure, generating an SQL table establishment statement based on the corrected inference result, and establishing a table based on the SQL table establishment statement. According to the method, the semantic understanding capability and inference capability of the large language model are utilized, the problem that the header and the data meaning cannot be understood by hard coding is solved, and the accuracy, rationality and automation of table structure design in a complex service scene are realized.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

The invention discloses an alarm processing method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of alarm processing, and the method comprises the steps: after receiving natural language alarm information, extracting an alarm intention and keywords in the natural language alarm information, screening and executing a target function from a preset function set according to the alarm intention, and obtaining an execution result, according to the method, a preset large model is utilized, function cues related to a target function are screened to serve as preposed cues, an execution result and the preposed cues are packaged into a target component, the target component is loaded to a preset decision slot and packaged into decision cues, and finally a target workflow is determined and executed based on the decision cues. The problems in natural language alarm information are solved. The technical problem that the alarm processing effect is poor in a current alarm processing method based on a hard coding rule is solved.

The embodiment of the invention provides a query component construction method and device, equipment and a medium, which are used for solving the problems that service expansion depends on hard coding, newly added fields need to be redeployed and response is slow in the prior art. The method comprises the following steps: if a field adding request is received, obtaining an added field name carried in the field adding request and a corresponding field value interaction device type identifier; if the field value interaction device type corresponding to the newly-added field name is a preset field value interaction device type, determining data source interface information of the newly-added field name, and obtaining a field value corresponding to the newly-added field name based on the data source interface information, storing a corresponding relationship among the newly added field name, the corresponding field value interactor type identifier and the corresponding field value; and adding and rendering the newly added field name into the field list of the query component pull-down menu to obtain the target query component, thereby realizing real-time configuration update of the field, adding or adjusting the field without modifying a code, and shortening response time.

The invention discloses an automatic data calculation method and system based on configuration driving, relates to the technical field of automation of configuration driving, and solves the problems that although standardized data acquisition of multi-source heterogeneous equipment is realized in the prior art, data calculation modeling depends on hard coding; the same function is difficult to reuse so that the development period is long; computational logic is embedded in a program, debugging and modification are difficult, system retransmission is needed for demand change, and the maintenance cost is high; the technical problems that a large amount of manual intervention exists in a calculation link, rules cannot be dynamically adapted according to field requirements, system universality and expandability are poor, project efficiency is restricted, and multi-scene energy data analysis requirements are difficult to meet are solved. According to the method, common model measuring point configuration is set; after common model measuring point configuration information is read, a function registration mechanism is executed; carrying out callback function binding; and setting a function operation mechanism to solve the technical problem.

The invention provides an installation normativity detection method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: retrieving standard terms related to a detection instruction, and decomposing the standard terms into at least one visual detection subtask for detecting an installation image through a language model to obtain a structured task plan; and executing a visual detection sub-task on the installation image by using the visual model to obtain a structured visual detection result, inputting the structured visual detection result and the standard terms into the language model, and obtaining a judgment result of whether product installation is compliant or not. According to the constructed cognitive framework, the language model can understand standard terms in a knowledge base in real time and is dynamically converted into detection planning capable of being executed by the visual model, the knowledge-driven planning and visual execution cooperation mode solves the problems that a traditional scheme depends on hard coding logic and is poor in expansibility, and the method has the advantages of being high in practicability and easy to popularize. The change of business specifications can be quickly responded at extremely low cost, and high accuracy and high agility are both achieved.

The invention discloses a method for integrating a plurality of standard data interfaces into one data interface. The method comprises the following steps: S1, filling in combined data interface configuration information and sending an HTTP (Hyper Text Transport Protocol) request; s2, the back-end system receives HTTP request data sent by the front end, verifies the HTTP request data and stores the HTTP request data in a database S3, calling a combined data interface; hard coding is replaced by a configuration mode, any number of standard data interfaces and automatic parameter conversion are supported, the technical threshold of multi-interface integration is lowered, system flexibility and development efficiency are improved, and the problems that in a traditional method, interface changing cost is high, and professional skills are relied on are solved.

The invention discloses an interface element drawing method, device and equipment and a computer program product, and relates to the technical field of multimedia. The interface element drawing method comprises the following steps: matching a corresponding transparency control frame from a transparency control frame sequence which is obtained from a server in advance and carries interface element pixel transparency control logic based on drawing time sequence information representing a drawing progress before the i drawing of an interface element, according to at least one channel value associated with the transparency of the pixel in the transparency control frame, the transparency of each pixel of the interface element during current drawing is determined, and finally the i-th drawing of the interface element is completed based on the transparency, so that the pixel-level control of the transparency of the interface element is realized, the dependence on hard coding is eliminated, and the drawing efficiency is improved. Repeated development for different effects is not needed, meanwhile, the complex display effect can be achieved according to the transparency control frame sequence, the visual abrupt feeling is avoided, and the interaction experience of a user is improved.

The invention provides a business risk processing method and device, equipment, a storage medium and a program product, and thorough decoupling and low-intrusion integration of business logic and risk control logic are realized by introducing a risk processing system. A business system only needs to initiate standardized calling and transmit business data at a key processing node, all risk control integration logics are automatically completed by a risk processing system, so that the business system does not need to embed any hard-coded risk control code, and therefore, when a risk control strategy is changed or an interface is adjusted, a business side does not need to modify the code and re-publish the code, and the risk control efficiency is improved. And the system coupling degree and the maintenance cost are obviously reduced. Meanwhile, due to a unified processing framework and an automatic expression mapping mechanism, repeated development of all service systems can be avoided, and the consistency of risk control behaviors is ensured.

The present application relates to a kind of kernel driving method under embedded real-time operating system, belong to embedded real-time operating system field.The method of the present application uses bus type driving framework to combine device tree mechanism, realizes the separation of driving code and hardware configuration information, to build kernel driving model;Wherein, bus type driving framework divides the driving of a certain device into two independent parts: bus driver and device driver;Device tree mechanism separates hardware configuration information from kernel code and driver program, and provides a standardized hardware description language to maintain hardware information, so that developers quickly understand hardware resource allocation;Through device tree mechanism, specific information of hardware device is dynamically transmitted to operating system, without using conditional compilation or static configuration hard coding.The present application realizes the standardization of hardware description, the generalization of driving code, to greatly improve the portability, maintainability and stability of embedded real-time operating system driving.

The application relates to the technical field of computer software, and provides a message routing method, a system and electronic equipment, wherein the method comprises the following steps: firstly, after a message queue is accessed, current messages of the message queue are acquired, and description information of the current messages is determined; then, the description information of the current messages is compared with pre-configured rule information, a target processor for processing the current messages is determined, and the current messages are sent to the target processor. The routing method introduces the pre-configured rule information, and different access codes and consumption codes do not need to be written for different MQs, so that the consumption mode of the messages is no longer realized by hard coding, but realized by the configured rule information, so that the implementation cost of different MQs can be greatly reduced, the effective management capability for messages of different sources is improved, the application of the messages of different sources is facilitated, and the messages consumption hot replacement and hot suspension capability of a service with high restart cost can be realized.

The invention belongs to the technical field of data processing, particularly relates to a railway main data verification method, system and equipment based on a multi-rule engine and a storage medium, and aims to solve the problems that rule verification in a railway data base is solidified, the expansibility is poor, and the railway data base cannot adapt to complex business scenes in the prior art. The method comprises the steps that a rule base containing multiple rules is configured, input of data to be verified is received, and verification is executed by a verification engine based on preset groups and priorities. When rule conflicts occur, a multi-strategy conflict resolution mechanism is used for processing, and finally a verification report is generated and displayed. According to the method and the system, configurable management and flexible scheduling of the verification rules are realized, the defects of rule solidification, poor expansibility and the like in a traditional hard coding mode are effectively overcome, and the adaptability and the accuracy of data verification in a complex railway service scene are remarkably improved.

The invention provides a response method and device for a diagnostic service program under ECU simulation, and relates to the technical field of ECU diagnostic testing, ECU diagnostic behaviors are defined through a structured configuration file, an independent state set is established for each diagnostic service program connection, and a response is generated by adopting a secondary matching mechanism and a function addressing processing engine. According to the scheme, multi-program parallel independent testing is supported, scenes can be flexibly switched without code modification, physical and functional addressing is completely covered, the defects of hard code modification difficulty, state management globalization and the like in the prior art are overcome, and the testing efficiency and flexibility are improved.

The invention belongs to the technical field of vulnerability detection, and relates to a firmware analysis and network scanning combined industrial control equipment vulnerability detection method and system. The method comprises the following steps: extracting a component static fingerprint of the industrial control equipment through firmware reverse analysis; obtaining a dynamic fingerprint of the industrial control equipment through network traffic scanning; performing cross validation on the static fingerprint and the dynamic fingerprint of the component, removing unreachable vulnerabilities and finding hidden vulnerabilities to obtain a component-level potential vulnerability information table; detecting and verifying a hard coded password and a weak password of the industrial control equipment based on a cross verification result to form a hard coded password list and a weak password list; and according to the component-level potential vulnerability information table, the hard coded password list and the weak password list, evaluating vulnerability validity, and forming a structured vulnerability list. According to the method, two technologies of firmware analysis and network scanning are effectively combined, so that the false alarm rate and the missing report rate in the vulnerability detection process of the industrial control equipment can be remarkably reduced, and the detection capability of specific types of vulnerabilities is improved.

The invention provides a data processing method and related equipment. The data processing equipment firstly obtains a first security word in a to-be-processed code text and a non-hard-coded code text set; and the data processing device filters the to-be-processed code text based on the first security word. And the data processing equipment identifies non-security words in the filtered code text to be processed. According to the method, the removal of the security text can be assisted in a mode of simplifying the code text through the security word, that is, the to-be-processed code text is simplified from the perspective of the security text, sensitive information in the code text is not changed, and missed judgment can be reduced. And the enumeration difficulty caused by non-security word recognition by using the keywords of the non-security words in the prior art can be reduced.

The invention relates to an unmanned aerial vehicle task allocation method for urban multi-target tracking, and belongs to the technical field of unmanned aerial vehicles. The reinforcement learning calculation efficiency is high, dependence on a prior task list is not needed, and the method is more suitable for a dynamic uncertainty environment. The codec structure gets rid of the characteristic that a traditional neural network carries out hard coding on states, is suitable for modeling variable-length sequence information, and has good scale expansibility. And solving the problems of grouping and task allocation of the unmanned aerial vehicles in a dynamic environment by using reinforcement learning based on a codec.