157 results about "Hard coding" patented technology

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 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.

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 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.

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 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 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 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.

This invention provides a method, apparatus, electronic device, and storage medium for installation compliance inspection, belonging to the field of artificial intelligence technology. The method includes: retrieving regulatory clauses related to the inspection instructions; using a language model to decompose the regulatory clauses into at least one visual inspection sub-task for inspecting the installation image to obtain a structured task plan; using a visual model to execute the visual inspection sub-task on the installation image to obtain a structured visual inspection result; and inputting the structured visual inspection result and the regulatory clauses into the language model to obtain a judgment result on whether the product installation is compliant. The cognitive framework constructed by this invention enables the language model to understand the regulatory clauses in the knowledge base in real time and dynamically transform them into an executable inspection plan for the visual model. This collaborative model of knowledge-driven planning and visual execution solves the problems of traditional solutions relying on hard-coded logic and having poor scalability. It can quickly respond to changes in business specifications at extremely low cost, combining high accuracy and high agility.

The embodiment of the invention provides an interface calling method and device, electronic equipment and a storage medium, and relates to an interface calling technology. The method comprises the following steps: acquiring a pre-configured interface execution topological graph comprising an execution sequence relationship among a plurality of to-be-called interfaces; for each to-be-called interface, when an execution sequence of the to-be-called interface is reached, if the to-be-called interface meets a preset interface execution condition, obtaining an input parameter of the to-be-called interface; according to the input parameters of the to-be-called interface, generating an interface calling request message and sending the interface calling request message to a target system to complete calling of the to-be-called interface, thereby realizing flexible arrangement of an interface calling process and decision control during operation, effectively decoupling service logic and the calling process, and improving the calling efficiency of the to-be-called interface. The problems of high maintenance cost, low response speed and the like caused by a traditional hard coding mode are avoided, the flexibility and the expandability of interface calling are improved, and meanwhile the adaptability and the execution efficiency of complex service scenes are enhanced.

The invention belongs to the technical field of deep space exploration, and particularly relates to a multispectral image displacement depth adaptive mapping method and system based on radiometric calibration, and the method comprises the steps: obtaining original black field data with the input bit depth being N and original flat field data with the input bit depth being N; after bad pixels are shielded according to the original black field data and the original flat field data, row offset and row response are calculated; sequentially determining a global scale according to the row offset and the row response, calculating an integration slope, and generating a lookup table according to the integration slope; and acquiring real-time monitoring input, reading the M-bit output value corresponding to the real-time monitoring input according to the lookup table, and correcting and updating the lookup table according to the M-bit output value. Based on a parameterized calculation process (derivation from row bias and row response to a global scale and an integrated slope), different input bit depth and output bit depth requirements can be met by modifying input parameters, inherent limitation caused by hard coding is avoided, and the configurability of cross-platform tasks is improved.

The application discloses an agent interconnection protocol handshake and communication method and system based on algebraic homomorphism, and belongs to the technical field of agent communication. The application describes the communicable ability of each agent as a capability description rule library stored locally, determines semantic compatibility of both sides through deterministic rule matching during handshake, and determines the deterministic evolution of the whole handshake process on the limited partial order set maintained by the communication protocol stack. After successful handshake, the session isolation is ensured through single homomorphism binding. The application solves the problems in the prior art that heterogeneous agent capability negotiation relies on hard-coded adapters, the handshake process lacks deterministic underlying constraints, and session isolation and anti-forgery lack mathematical guarantees, and provides a determined, verifiable and semantically faithful interconnection and intercommunication scheme for heterogeneous agents.

The invention provides a configurable automatic data archiving method and system based on a storage process, and belongs to the technical field of database data life cycle management.The method comprises the following processes that firstly, an archiving task is initialized, and a configuration table archiving rule is loaded; automatically judging and creating an archiving history table; secondly, dynamically calculating an archiving reference date; archiving conditions are generated, and data archiving and source table cleaning are executed in batches; abnormities are processed through log and transaction control, and data archiving and source table cleaning are completed; and finally, task circulation and exception handling are performed, and configurable and automatic historical data management is realized. The method solves the problems that an existing data archiving scheme is high in hard coding dependency, lacks unified configuration, is high in batch processing risk, is weak in fault tolerance and traceability, and is disordered in historical table management, is suitable for batch backup and archiving of historical data and source table cleaning in a core business system, guarantees the performance of a core table, and meets the requirements of data retention compliance.

The invention relates to the technical field of networks, in particular to an interpretation language generation method and device suitable for protocol decoding and a medium, and provides an interpretation language suitable for protocol decoding. The method supports the description of logic combination and complex nested structures, has strong expression ability and good readability, is simple enough in design, greatly reduces the manufacturing difficulty and reading difficulty of decoding scripts and the total amount of codes, and greatly shortens the development period. Meanwhile, in protocol decoding, each network protocol is regarded as a formal language, abstraction is carried out to describe most protocols, an interpretation language which is concise in design is designed to standardize and describe basic logic and combination of the formal language, a plain text protocol decoding script is used for replacing a traditional hard coding decoder, and a complete three-level grammar system of words, sentences and segments is constructed.

The invention provides an automatic benchmarking method and system based on a large model and a storable medium, in response to a table name input by a user, the system transmits metadata and sample data of a resource table corresponding to the table name to the large model; the large model generates semantic interpretation corresponding to each field in the resource table to obtain a recognition result, and the system stores the recognition result into a database original table corresponding to the resource table as a newly added column and splits the resource table into field arrays according to the fields; traversing the field array by a system, and comparing elements in the array with data elements in a vector knowledge base by utilizing an RAG technology to obtain data elements similar to the field array; the large model selects similar data elements for benchmarking according to the metadata to obtain a benchmarking result of the current resource table, and meanwhile the benchmarking result serves as a newly-added column to be stored in the database original table. According to the method, a manually maintained hard coding rule is converted into a semantic matching model, the method has the advantages of self-adaptability, intelligence and lightweight operation and maintenance, and the data value can be released.

An encrypted and untraceable communication between a first and second specially enabled devices that subscribe to a network of such devices with the first device lossless compressing and encrypting a binary input file (IFDS) using an encryption key that is hardcoded in the two devices only, with both encryption and compression processing the IFDS content in term of universal sets of binary constructs based on which the IFDS is uniquely partitioned and transformed, where the encryption and compression is performed over multiple cycles with the order of such cycles being specific to the two devices and hardcoded in the two devices as part of the encryption key, and where the untraceability is achieved by first device sending the encrypted and compressed file to the second device and to one up to all devices in the network and by creating a simulated network traffic.

The invention discloses a configuration multi-stage grabbing and placing planning method, which relates to the technical field of intelligent manufacturing, and is characterized in that through the technical innovations of configuration parameter management, multi-stage seamless connection trajectory planning, double-arm independent configuration, waist-arm trajectory decoupling and splitting and the like. The core problems that in an existing two-arm robot grabbing planning method, parameter hard coding is achieved, stage connection is not flexible, and a whole-body cooperation mechanism is lacked are effectively solved, and the deployment efficiency and operation reliability of the robot under the scenes of flexible manufacturing, multi-task switching, heterogeneous cooperation and the like are remarkably improved; and a solid technical foundation is laid for rapid deployment and task self-adaption of a next-generation collaborative robot, a humanoid robot and a special operation robot.

The application provides a live streaming processing method and system of camera video data, an electronic device and a vehicle. The method comprises the following steps: obtaining a live streaming request instruction of a user; obtaining corresponding encoded data from a data queue based on the live streaming request instruction; the encoded data is obtained by performing hard coding processing on camera video data; in an Ffmpeg live streaming processing sub-thread, the encoded data is encapsulated into a structure object, and when it is determined that the encoded data is a key frame, a flag bit parameter corresponding to the structure object is determined to obtain a structure object to be pushed to a live streaming; and the structure object to be pushed to a live streaming is transmitted to a corresponding streaming media server. The method provided by the application can obtain camera video data in a high-performance and low-latency manner and push the camera video data to a streaming media server, thereby improving the system performance of the whole live streaming process and reducing the live streaming delay, so that the system operation resources are effectively saved.

This invention relates to the field of computer data processing and data visualization technology, specifically a personalized report configuration platform system, comprising: a data virtualization module: establishing physical data source mapping and constructing atomic data pools; an indicator graph construction module: generating atomic indicator dependency graphs, storing logical operation relationships rather than calculation results; a context-aware module: capturing environmental parameters such as tenant roles and time windows; a dynamic compilation engine: injecting environmental parameters into the graph and instantiating and parsing logical nodes to generate structured query instructions; and a rendering and compositing module: executing instructions to obtain result data and mapping it to view components. This invention achieves dynamic instantiation of logic defined once in multiple places, avoiding hard-coding development and improving the maintainability and response speed of the system.

The application relates to the fields of big data processing and aero-engine monitoring, and discloses a UAV engine state evaluation method and system based on digital twinning. The method comprises the following steps: collecting and preprocessing engine operation data; constructing a decoupled cloud macroscopic operation domain twin and an airborne microscopic mechanism domain twin, and hard-coding a physical conservation law into an airborne hybrid evaluation model; introducing a fault injection and adversarial generation mechanism to construct an adversarial game logic of virtual faults and real signals; triggering a meta-learning mechanism based on feature difference signals to perform small sample incremental fine-tuning on the model; and performing cloud-edge collaborative decision and state synchronization according to the confidence. The system comprises data acquisition, double-layer twin construction, adversarial generation evolution and cross-domain collaboration modules. The application improves the system robustness and fault prediction capability through mechanism and data double constraints.

The invention relates to a multi-agent system and method for Simulink modeling in the aviation field. The existing automatic modeling method for Simulink modeling in the aviation field highly depends on hard coding, converts formalized requirements into model design, and has the defects of high development cost, dependence on expert knowledge, incapability of automatic verification, no support of a third-party library and the like. According to the multi-agent system provided by the invention, a plurality of expert agents are integrated and designed and workflows are strictly arranged, so that the design, implementation and verification processes of Simulink modeling in the aviation field are fully automated. With reference to abstract drawings, the whole system comprises a model designer, a test review device, a model builder, an execution and debugger, a report compiler and an Agent RAG subsystem, and different sub-modules depend on large model capability and a context management strategy to collaboratively complete tasks in a specific process. Compared with a traditional automatic modeling technology, the system and the method have the advantage that the modeling flexibility and efficiency are greatly improved.

The invention discloses an LLM-based fuzzy test initial seed generation method and system, a computer and a storage medium. Lightweight static analysis is performed on target software source codes, an expansion function call graph is constructed, two key features of hard coding constraint and security sensitive operation are extracted, and explicit tags are injected in situ into the source codes; a semantic aggregation strategy based on a recursive sub-function abstract is adopted, the sub-function source code injected with the label is converted into a semantic abstract from bottom to top through a large language model, and a global semantic abstract retaining key constraint information is generated through hierarchical cue word construction; constructing a seed generation task containing a thinking chain guide instruction, forcing the model to perform reasoning according to logic steps of constraint solution, abnormal construction and enhanced generation, and generating a targeted initial input sample (namely, an initial seed) for fuzzy testing; and performing static validity check on the grammar by utilizing a general format analyzer, and performing fault-tolerant processing by combining a multi-stage backspacing mechanism. Through the recursive abstract aggregation and thinking chain reasoning technology, deep semantic understanding of complex code logic and automatic generation of high-coverage-rate test cases are achieved.