19 results about "Critical system" patented technology

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.

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

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.

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.

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.

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 invention discloses a data security detection method based on memory instruction execution sequences, specifically relating to the field of data security detection technology. It constructs a multi-level cumulative distribution function model by collecting the execution time of memory instruction sequences; records execution samples and calculates dynamic fluctuation coefficients during runtime using a sliding window mechanism; generates a risk score by combining the matching results of multiple cumulative distribution function models with the fluctuation coefficients; identifies abnormal trends through a time integration mechanism; and, after determining potential abnormal behavior, collaboratively adjusts the boundary model of the cumulative distribution function model to achieve adaptive model evolution. This method can effectively identify slowly evolving or boundary-drift attacks, improving detection accuracy and system robustness, and is applicable to various resource-constrained embedded devices or security-critical systems.

The application provides a task-critical system operation strategy optimization method for performing heterogeneous tasks, and belongs to the field of system operation strategy optimization. The method comprises the following steps: obtaining posterior distribution of arrival rate and task quantity based on prior distribution of arrival rate and task quantity of each task and new information of the task, and obtaining hyperparameter updating rule and sufficient statistics; describing the degradation process of the system and designing system mode switching strategy and load adjustment strategy; constructing mode switching strategy and load adjustment strategy optimization model based on semi-Markov decision process framework; solving the optimization model by using an improved algorithm to obtain optimal mode switching strategy and load adjustment strategy when each task is completed. The application fully considers cognitive uncertainty caused by unknown parameters in the task arrival process and the task quantity distribution and system accidental uncertainty caused by the dependent relationship between load and degradation, establishes the structural characteristics of the optimal strategy, and realizes optimal strategy solving based on the structural characteristics.

This invention provides a method for scheduling tasks in a multi-core hybrid critical system based on dynamic budgeting, comprising: initializing the hybrid critical system; obtaining a set of tasks to be scheduled in the hybrid critical system; assigning a unique local scheduler to each high-critical task; assigning low-critical tasks to their corresponding local schedulers; marking a task as a migration task when it cannot be handled by a single local scheduler; allocating an initial execution budget to tasks during the operation of the hybrid critical system; scheduling high-critical and low-critical tasks when the local scheduler is in low-criticality mode; increasing the criticality of the scheduler when a high-critical task cannot be completed within the allocated budget; and triggering scheduler criticality rollback when the local scheduler is in high-criticality mode and preset conditions are met. This invention can ensure the real-time performance and security of high-critical tasks while providing a controllable and flexible execution space for low-critical tasks.

Specific algorithmic methods are disclosed herein whereby the accumulated degradation or Remaining Useful Life (RUL) of an electrical semiconductor-based device or subsystem may be determined based on examining unintended RF emissions from the device or a subsystem while it is operating on a periodic, sporadic, or one-time basis. The methods may be then preferably combined to provide an accurate assessment and prediction of degree of its degradation or RUL. These assessments or predictions may be practical for more accurately allocating maintenance or replacement practices, especially for safety-critical systems. These assessments or predictions may be presented in an understandable, useful, comprehensive, more definitive, more detailed, or alternatively simpler format depending on the user's needs.

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.

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 application discloses a deadline-constrained imprecise mixed critical system scheduling feasibility analysis method, which comprises the following steps: determining a system mode conversion strategy according to a deadline-constrained imprecise mixed critical task scheduling model; obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in a low mode; determining processor requirements of low critical level jobs according to a first preset formula or a second preset formula, and then calculating processor requirements of low critical level tasks τ i in the high mode; determining processor requirements of high critical level jobs according to a third preset formula, and then calculating processor requirements of high critical level tasks τ j in the high mode; and obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in the high mode according to the relationship between the length of a task interval and the processor requirements of the imprecise mixed critical task set Γ in the high mode. The deadline-constrained model is used to analyze and determine the processor requirements of the tasks by using a requirement limiting function, so that the scheduling feasibility of the system is improved.

There is provided an apparatus comprising receiving, from a primary mission critical system, one or more user profile configuration documents comprising information identifying one or more partner mission critical systems to which the user equipment can migrate, and a respective one or more user equipment initial configurations associated with each of the one or more partner mission critical systems; selecting a partner mission critical system to migrate to from among the one or more partner mission critical systems; selecting, from the received one or more user profile configuration documents, a user profile configuration document for use in the migration; and based on the selected user profile configuration document, performing migration to the selected partner mission critical system.