56 results about "Critical system" patented technology

Sustainable enterprise-wide energy balancing is presented herein, which describes a series of processes to make choices in favor of a sustainably sourced energy mix, grid reliability, and / or to prioritize critical systems in times of a catastrophe. An example method comprises receiving a group of input data representing a standardized phrase, wherein the group of input data is received from first equipment associated with an electric power generation and transmission operator entity; parsing the standardized phrase to identify an initiating event; in response to identifying the initiating event, determining that an initiating threshold value associated with the initiating event has fallen below a defined risk threshold value; and executing, on remote second equipment, a flow of customer defined processes representing a group of runbooks.

The invention provides a shipborne intelligent network security protection architecture and method, and relates to the technical field of network security, and the architecture comprises a security domain division module which is used for dividing a shipborne network into three physically isolated security domains, including a key task domain, an operation management domain and a crew life domain; the longitudinal protection strategy module is used for generating a longitudinal strategy comprising a protection instruction, a communication control instruction and a risk quantification instruction based on the security domain structure; and the risk calculation module is used for detecting intra-domain equipment access behaviors by trapping addresses in the key task domain, collecting intra-domain network traffic and service unit logs, and outputting a service asset quantized value, a vulnerability severity quantized value and a threat behavior deviation degree according to a risk quantization instruction. According to the invention, accurate identification, graded response and efficient disposal of shipborne network threats are realized, and the safety of a ship key system is guaranteed.

A secure system for sending and receiving remote signals that control semiautonomous critical systems and infrastructure. The secure system includes a plurality of independent operator stations to provide command signals to the remote critical systems and infrastructure by means of wired and / or wireless communications. Decoupling of the secure system from raw signals is performed by a data broker that serves to check for time-dependent and signal-dependent corroboration between the raw signals and then provide limited-scope instructions to the secure system controller. Further security is afforded to the secure system through encryption of the incoming command signals, convoluting the encrypted command signals within data structures, and padding with erroneous information with the implementation of a synthesized command signal that renders successfully decrypted and deconvoluted command signals neither readable by humans or machines. The final method of data security is appropriated through the synthesis of transmitter / receiver unique “languages” that serve to translate decrypted and unconvoluted signals into their final human / machine readable instructions.

Systems and Methods for Automatically Detecting Root Cause Failures Described herein are techniques for automatically detecting root cause failures in a computing environment. A data center may experience a critical system failure that renders the data center inoperable. An administrator may utilize a root cause detector to analyze alerts generated from the data center to automatically detect the root cause of the critical system failure. Once detected, the administrator may investigate the device with the root cause failure to repair the data center. In some examples, the root cause detector may compare alerts received from the data center with root cause failures in a failure repository that it is familiar with to determine whether the present sequence of alerts is similar to alert patterns it has seen before. The root cause detector may be implemented with a classifier model, a large language model, a rule-based heuristics identifying spurious alert patterns, or combinations of these techniques.

The invention discloses a multi-model analysis-based risk monitoring method and system for a safety critical system. The method comprises the following steps: acquiring physiological parameters, behavior tracks, machine operation parameters and environmental parameters of an operator in real time through intelligent risk monitoring equipment; the method comprises the following steps: constructing a database with real-time, multi-mode and multi-diversity characteristics, storing and converting historical data and virtual simulation data of a safety-critical system, preprocessing real-time risk data of people, machines and environments, and generating input parameters based on the historical data, the virtual simulation data and the preprocessed real-time risk data; based on a Bayesian network, time sequence analysis, graph calculation and machine learning, constructing a risk judgment model of the safety critical system, and calculating an overall risk value through input parameters; and according to the risk value, judging a risk grade and a risk type, and carrying out visual early warning and triggering a grading response measure. According to the invention, the risk of the safety-critical system can be dynamically and comprehensively monitored in real time.

Systems and methods are disclosed for generating a fueling plan based on navigation data for the trip, fuel type data for the vehicle, and fuel price data for fuel locations within a geographic threshold of the trip. The fueling plan may include a selected fuel location. For instance, the system may determine, based on the fuel type data, that the vehicle cannot reach the selected fuel location. In response to this determination, the system may automatically configure the vehicle to reduce fuel consumption. In some embodiments, this may include limiting acceleration of the vehicle, limiting speed of the vehicle, or modifying the operation of non-critical systems and services, such as shutting down the AC, opening or closing windows of the vehicle, limiting the number of built-in screens which are consuming content or disabling the functionality of some or all the screens, disabling media streaming functionality or auxiliary functionality such as pairing a phone with the infotainment system, disabling device chargers, etc.

The invention discloses a safety-critical system decision optimization system based on artificial intelligence redundancy. A data input unit inputs a decision result of an AI service model; the analysis processing unit performs parallel processing on the decision result of the AI service model through a plurality of XAI models, analyzes the decision process of the AI service model, and checks the analysis process of each XAI model; the fusion optimization unit fuses the outputs of the plurality of XAI models to ensure that an optimal decision result is obtained; and the result output unit outputs a decision result of the AI service model and an analysis result of the XAI model. The method not only improves the decision-making efficiency and reliability of the system in the security key field, but also provides more flexible and transparent decision-making support in practical application, and has important social and economic values.

Described herein are techniques for automatically detecting root cause failures in a computing environment. A data center may experience a critical system failure that renders the data center inoperable. An administrator may utilize a root cause detector to analyze alerts generated from the data center to automatically detect the root cause of the critical system failure. Once detected, the administrator may investigate the device with the root cause failure to repair the data center. In some examples, the root cause detector may compare alerts received from the data center with root cause failures in a failure repository that it is familiar with to determine whether the present sequence of alerts is similar to alert patterns it has seen before. The root cause detector may be implemented with a classifier model, a large language model, a rule-based heuristics identifying spurious alert patterns, or combinations of these techniques.

A computer-implemented method in a hardware-secured mission-critical system governs text outputs produced by a transformer-based language model. A first transformer-based model generates candidate text and machine-identified propositions. A timing subsystem synchronized to PTP, GPS, or IMU clocks timestamps propositions and retrieved reports, logs, and sensor products, and admits only evidence within a configured skew window. Each proposition is segmented into semantic units under a constrained domain grammar that distinguishes subjects, predicates, modifiers, and domain-specific clauses. A second, architecturally isolated transformer-based model receives adversarial prompts built from propositions and summaries of admitted evidence and outputs structured challenge records with challenge types and severities. From evidence associations and challenge records the system constructs a semantic support mask and generates a conservative rewrite that preserves, in order, only tokens mapped to units that satisfy governance thresholds, introduces no new tokens, and passes a grammar-based integrity check before release as governed text output.

The invention relates to a method for updating software of a target component of a security-critical system (SYS), the security-critical system (SYS) comprising a maintenance management component (MDM), a central authorization unit (A) and at least one persistently authorizable target component (TC-A, TC-B, TC-C), the initial system configuration comprises a first combination of target components and the target system configuration comprises a second combination of target components, having the following method steps: a) an external maintenance mechanism (M) requests an update to the system configuration; b) the authorization unit (A) transitions from a state "inactive" to a state "update"; c) informing the continuously authorized target component (TC-A, TC-B, TC-C) of the update to be made; d) the authorization unit (A) performs a system integrity pre-check and triggers a first state change and a version check of the persistently authorizable target component (TC-A, TC-B, TC-C); e) the continuously authorized target component (TC-A, TC-B, TC-C) performs a version check and if necessary a version update and notifies the authorization unit (A) of the result; f) the authorization unit (A) performs a system integrity check and triggers a second state transition of the continuously authorizable target component (TC-A, TC-B, TC-C) if the system integrity check has succeeded; g) the authorization unit (A) changes from the state "update" to the state "inactive".

A secure system for sending and receiving remote signals that control semiautonomous critical systems and infrastructure. The secure system includes a plurality of independent operator stations to provide command signals to the remote critical systems and infrastructure by means of wired and / or wireless communications. Decoupling of the secure system from raw signals is performed by a data broker that serves to check for time-dependent and signal-dependent corroboration between the raw signals and then provide limited-scope instructions to the secure system controller. Further security is afforded to the secure system through encryption of the incoming command signals, convoluting the encrypted command signals within data structures, and padding with erroneous information with the implementation of a synthesized command signal that renders successfully decrypted and deconvoluted command signals neither readable by humans or machines. The final method of data security is appropriated through the synthesis of transmitter / receiver unique "languages" that serve to translate decrypted and unconvoluted signals into their final human / machine readable instructions.

A computer-implemented method includes training a machine-learning model, using a training dataset that distinguishes between critical systems and non-critical systems, to classify a particular comput

The invention relates to a method for automatically optimizing safety critical system parameters of interconnected subsystems. The method comprises the following steps: selecting a representative sample data set for parameter optimization; decomposing and optimizing the complexity of a high-dimensional system of the interconnection subsystem; exploring a parameter space of each subsystem to perform parameter setting of the subsystem; determining parameter setting of the system; and proving the rationality of parameter selection to achieve authentication of the security-critical system.

A method may include receiving a set of inputs; transforming the set of inputs into a set of corresponding waveforms; generating from the set of corresponding waveforms, a composite wave spectrum, including identifying a waveform sub-set corresponding to a time interval of the composite wave spectrum; determining based on a comparison of the waveform sub-set to a pattern repository, an anomaly exists within the waveform sub-set in response to determining the composite wave spectrum is an operational-type spectrum; analyzing the anomaly to determine an associated risk; logging based on the anomaly and the associated risk, an incident record; determining based on the anomaly, an approved change control exists; and executing the approved change control.

This invention relates to a log management method and a log management system. Embodiments for reliable, safety-critical system logs are disclosed. In one embodiment, a method includes: obtaining data to be added to a log; creating entries for the data; and adding the entries to a linked sequence of entries in the log, wherein the linked sequence of entries includes a plurality of data entries and a plurality of sentinels intertwined with the plurality of data entries, wherein each data entry in the entry chain is appended to an error detection code calculated for that entry and a previously calculated error detection code or error detection root of the preceding data entry, and each sentinel in the entry chain includes an error detection code calculated for that sentinel and a previously calculated error detection code or error detection root of the preceding data entry, and each sentinel includes a previously calculated and encrypted blockchain value or blockchain root value of the preceding sentinel.

The invention provides a vehicle risk assessment method and system and a storage medium. The method comprises the steps of obtaining target asset data, and performing threat assessment according to the target asset data to obtain a threat assessment result; generating a threat scene according to the threat evaluation result based on the scene library, obtaining a damage scene according to the threat scene, and generating an attack tree through logic gating and selective re-calculation based on the currently generated threat scene and damage scene; wherein when the preset data changes, the scene library is updated in real time based on the preset data; and obtaining a risk assessment result according to the attack tree. According to the invention, the efficiency and accuracy of attack tree construction can be improved; meanwhile, a real-time updating mechanism of the scene library ensures that the threat scene is continuously updated along with the evolution of the system, so that repeated information input is avoided, and the expansibility of the vehicle risk assessment method is improved; in combination with the method, the reliability of network security analysis in a complex security-critical system is ensured.

Electronic circuits and methods sense an electromagnetic property of a target, and transmit data packets that encode the property along with diagnostic messages while avoiding data loss due to truncation at high sensing speeds. Data address bits may be used to split messages across multiple data packets. Data bits may be combined into a unified header that takes less time to transmit than in prior communication protocols. The transmission duration of each data bit may be lowered, thereby increasing throughput. The receiving system may synchronize its own operation against these shortened data bits, increasing its speed. Error packets may be sent between data packets, thereby reducing time to respond to faults in safety-critical systems. And additional current levels may be used to increase the data information rate.

Disclosed is a system (100) and a method (500) for hot dip galvanization using compressed biogas (CBG) as fuel for heating the zinc kettle maintained at 450 ± 10°C. The system (100) comprises a gas delivery module (200), an electronic monitoring and control module (300), and an ignition module (400) communicatively and operably connected. The gas delivery module (200) carries out a stagewise reduction in the CBG pressure. The electronic monitoring and control module (300) receives values from a plurality of sensors to provide a signal to a variable frequency drive (305) to adjust the pressure of air supplied by a combustion blower to achieve a predefined temperature of the zinc kettle. The system (100) and the method (500) reduce dependence on fossil fuels, minimizing the waste going to landfills, and improving real-time visibility of critical system parameters, facilitating better decision-making.

The invention discloses a cross-domain high-precision impact-free leap second processing method which is suitable for all safety-critical systems (including cross-domain scenes of finance, aerospace, medical treatment, industry and the like), wherein the time synchronization error of the safety-critical systems is less than or equal to 1ns and the time continuity is not interrupted. The core scheme is as follows: pre-calibration before leap second and enabling an initial synchronization error to meet the subsequent calibration requirement, uniformly dividing the total step number corresponding to a transition period into M (a positive integer greater than or equal to 2) sections, calculating a uniform step length, executing adjustment section by section, dynamically sharing an error (an absolute value of a delta E section is less than or equal to 0.000001 [mu] s * the step number of each section), and combining two-way closed-loop calibration (adjusting a time sequence of related steps). The total error in the whole process is smaller than or equal to 0.2 ns (preferably smaller than or equal to 0.1 ns), and the step length is not changed suddenly (the difference value of adjacent steps is smaller than or equal to 0.000001 microseconds). The method supports bidirectional compensation and cross-field seamless adaptation, can meet compliance requirements of different fields without modifying a core scheme, is high in anti-interference capability, low in landing cost and comprehensive in protection range, can effectively prevent various evasion behaviors, and is suitable for various high-precision scenes such as high-frequency transactions, aerospace navigation, medical surgical robots and the like.

The invention relates to the technical field of manned aircrafts, in particular to a manned aircraft, an off-line state automatic control system and method thereof and a storage medium. The method comprises the following steps: acquiring battery power, motor temperature, flight time and residual voyage data of the aircraft in real time through an endurance monitoring module; when it is detected that the aircraft enters the off-line state, a preset off-line control strategy is started; a safe landing point or a return path is dynamically generated according to the endurance monitoring data, and the aircraft is controlled to execute automatic landing or return operation; and continuous power supply of the key system is guaranteed through the redundant power supply module. The method has the advantages that the safety is realized; the accident risk in an offline state is reduced by combining the endurance data and the terrain information; reliability: a redundant power supply design ensures continuous operation of a key system; the compatibility is that various aircraft structures such as multi-rotor and fixed-wing aircraft structures are supported.

A method for discriminating, by a first destination client entity, requests in a communication network according to the 3GPP MCS “3rd Generation Partnership Program Mission-Critical System” standard, wherein the requests received by the destination client entity include a first mission-critical service request originating from the non-controlling server of the second communication group and a second mission-critical service request originating from the non-controlling server of the third communication group, each request received including at least one piece of belonging group information of the non-controlling server emitting the request.

FC style connectors do not afford a secondary engineering control that would prevent the removal of the connector. Exemplary locks include a first lock portion; and a second lock portion. The first and second lock portions are configured to fit over a fiber connector, and wherein the first and second lock portions are selectably rigidly fixable to each other. Exemplary embodiments allow for the locking of potentially hazardous, or critical systems, to prevent inadvertent disconnection.

This invention discloses an ATL-based method for converting SLIM models to XSAP models, comprising: designing a SLIM metamodel and an XSAP metamodel according to predefined model conversion rules, and obtaining the abstract syntactic structures of the SLIM metamodel and the XSAP metamodel; designing a model conversion algorithm based on ATL, utilizing the metamodel and abstract syntactic structures to convert the SLIM model to an XSAP model, obtaining a converted XML-formatted XSAP model; and designing a verification algorithm to verify the XSAP model, obtaining a complete SMV-formatted XSAP model. This invention can directly convert safety-critical systems from SLIM models to XSAP models and perform verification analysis on the converted XSAP models. The conversion algorithm and model verification algorithm proposed in this invention have universality.

The application relates to the technical field of heat exchange equipment, and particularly provides a heat exchange device CO 2Air cooler and cooling method of critical system. The air cooler comprises a tube bundle assembly, a tube box assembly, a fan system, a control unit and a lightweight framework. The tube bundle assembly adopts micro-channel flat tubes or internal thread tubes to improve heat transfer efficiency; the tube box assembly integrates a filtering module and a pre-stabilization chamber to ensure reliable sealing; the fan system optimizes air distribution through combination of axial flow and centrifugal fans; and the control unit dynamically controls operation parameters based on sensor data. The cooling method comprises CO 2Fluid pretreatment, heat exchange matching and critical parameter optimization. The application solves the problems of low heat transfer efficiency and unreliable sealing of traditional technology, and compared with the prior art, actually measured heat exchange efficiency is improved, and the application is suitable for supercritical CO 2Energy system.

The invention relates to the technical field of information security, in particular to a chaos-based script code protection method and device, a computer readable storage medium and computer equipment, and the method comprises the following steps: S1, performing flow segmentation and simulation on a protected script: giving a web front-end script, and firstly performing abstract syntax tree level analysis on the web front-end script; according to the method, the PWLCM chaotic mapping is introduced, so that the context relation, which is easy to reverse, of the script code is successfully disorganized in a static state and conditionally submitted to a plurality of index sequences to be controlled; an attacker cannot correctly analyze correct sources and directions of parameters and return values associated with key system calling in protected script codes only by off-line analysis in a static state, an introspection integrity self-checking logic is embedded in each sub-process, and encryption protection is performed on communication between the front end and the rear end of a web system. Therefore, the protected script can actively resist reverse analysis and protect the security of end-to-end data.

This invention relates to the field of data migration and data synchronization technology, specifically to a method and system for full and incremental collaborative intelligent verification of data migration. The method establishes a data baseline by performing a full consistency verification after data migration initialization, monitors near real-time data changes by performing incremental consistency verification based on synchronization points and dynamic delay windows, coordinates the two types of verification tasks through a collaborative scheduling mechanism to form a closed-loop process, and finally classifies and automatically compensates and repairs discrepancies in the data. This invention integrates technologies such as hash calculation, point tracking, and dynamic thresholds to achieve integrity, accuracy, and consistency verification throughout the entire data migration lifecycle, reducing resource consumption, decreasing false alarm rates, and improving system reliability and automation levels. It is particularly suitable for data migration scenarios in critical systems such as power grids.

This application discloses a security reinforcement method and system for a real-time operating system. This method involves first configuring the target system to generate a symbol table and suspending all tasks in the current target system; searching the symbol table based on the name of the system function and recording the address of the system function to be stubbed; then writing a stub function to control the return value according to a preset policy; and finally, after the stub function loads and updates the symbol table, resuming all tasks in the target system. This application monitors and controls key system functions through dynamic loading, preventing malicious programs from accessing sensitive resources. It also flexibly configures security policies based on actual needs, enabling more refined access control.

The application provides a kind of error detection architecture design method for multi-core safety critical system, with the method of software and hardware collaborative design, including configurable microarchitecture based on RCPs supporting asynchronous thread level error detection, custom RISCV instruction set architecture and control interface provided for OS scheduling algorithm, and special check thread developed for check core;Any processor core in the architecture of the application can be configured as a main core running application threads, a check core for correctness verification and a normal computing core not participating in error detection, which allows threads running on any core to be reproduced and verified on different cores, and the verification mode can be configured as one-to-one, one-to-two or more modes to match different safety critical task scenarios.

An embodiment relates to a design of a safety critical system, and more particularly, to a computing apparatus having a multi-layered framework including a problem layer, a data layer, and an evidence layer to provide guidance for a safety assurance process in designing a machine learning-based safety critical system, and a method of designing a safety critical system using the multi-layered framework.

A secure system for sending and receiving remote signals that control semiautonomous critical systems and infrastructure. The secure system includes a plurality of independent operator stations to provide command signals to the remote critical systems and infrastructure by means of wired and / or wireless communications. Decoupling of the secure system from raw signals is performed by a data broker that serves to check for time-dependent and signal-dependent corroboration between the raw signals and then provide limited-scope instructions to the secure system controller. Further security is afforded to the secure system through encryption of the incoming command signals, convoluting the encrypted command signals within data structures, and padding with erroneous information with the implementation of a synthesized command signal that renders successfully decrypted and deconvoluted command signals neither readable by humans or machines. The final method of data security is appropriated through the synthesis of transmitter / receiver unique "languages" that serve to translate decrypted and unconvoluted signals into their final human / machine readable instructions.