199 results about "Safety assurance" patented technology

The invention discloses an enamel product and an intelligent spraying system thereof, and belongs to the technical field of enamel product spraying, and the enamel product comprises a high-precision visual guidance module, an environment intelligent control module and an auxiliary function module, the intelligent environment control module is used for monitoring and dynamically regulating and controlling parameters such as temperature and humidity and dust concentration of a spraying environment in real time, ensuring stable coating quality and reducing energy consumption, and the auxiliary function module is used for realizing accurate spraying track planning and quality control through process connection, safety guarantee and data collaboration. And high efficiency and reliability of the spraying process are guaranteed. On the basis that spraying of the enamel product is achieved, the quality of the whole process is improved, and comprehensive benefits can be optimized.

The invention relates to the technical field of closed-loop drift control, and particularly discloses a closed-loop drift control method and system for an autonomous vehicle in an uncertain environment, and the method comprises the steps: building a vehicle kinematic model based on a Frenet coordinate system, and constructing an MPC path tracking controller with a preview mechanism; establishing a three-degree-of-freedom vehicle dynamics model with additional yawing moment; the method comprises the following steps: establishing a UniTile-Ctrl tire dynamic model; designing a robust drift controller by combining LQR and integral sliding mode control on the basis of the whole vehicle dynamic model and the tire dynamic model, designing a torque distribution module by taking minimization of distribution error and tire load utilization rate as targets on the basis of ideal rear wheel rotating speed and additional yawing moment output by the robust controller, and outputting a torque distribution model; according to the drifting vehicle tracking control method, closed-loop drifting control can be achieved, the drifting vehicle tracking control performance and robustness are improved, and safety guarantee is provided for limit control over the uncertain road surface of the vehicle.

The invention provides a campus security risk prevention and control cloud service platform, and relates to the technical field of cloud platforms, and the platform comprises a data processing and transmission module which is used for carrying out data storage, processing and secure transmission based on a cloud platform architecture, and supporting the automatic reconnection and concurrency control of data transmission; the safety guarantee module is connected with the data processing and transmission module and is used for carrying out digital management on civil defense, object defense and technical guarantee information of the campus; the safety risk prevention and control module is connected with the data processing and transmission module and the safety guarantee module and is used for carrying out informatization processing and linkage on campus safety management, safety education and safety emergency processes; and the joint defense and joint control module is connected with the safety risk prevention and control module and is used for realizing data linkage and emergency response command between the multi-level education management department and the school based on a processing result of the safety risk prevention and control module. By constructing the campus safety risk prevention and control cloud service platform, the intelligence and collaboration level of campus safety management is remarkably improved.

The invention discloses an unmanned aerial vehicle-based power grid safety guarantee device and method for live stripping of a lead sheath, the device comprises a stripper main body and a chuck, the lower end of the stripper main body is slidably connected with the upper end of a bottom plate through a guide rail pair, a vertical forward and reverse lead screw is arranged on a support frame arranged on one side of the bottom plate, and the lower end of the stripper main body is connected with the chuck. The two chucks are arranged on the forward and reverse lead screw, a lead screw motor is arranged at the lower end of the supporting frame, the bottom plate is connected with the lower end of a hanging frame, the upper end of the hanging frame is connected with an unmanned aerial vehicle through a connecting rod, and a controller is arranged on the supporting frame. And the controller receives and sends an instruction to enable the lead screw motor and the peeler main body to move. Through deep intelligent integration of the unmanned aerial vehicle platform and the automatic stripping device, remote, automatic and accurate stripping of the insulated wire is realized, the safety of a large-scale power grid can be guaranteed, the labor intensity and the safety risk of operators can be remarkably reduced, and the operation and maintenance level of a power distribution network is improved.

The invention discloses a building construction safety monitoring system based on the Internet of Things technology, and the system comprises the following steps: collecting various types of data of construction personnel, equipment and environment, constructing a unified data sequence, extracting feature information through employing an incremental principal component analysis method, and further employing an elliptical envelope line algorithm by the system, the method comprises the following steps: establishing an anomaly discrimination model in a plurality of local feature spaces, realizing the recognition of abnormal behaviors, integrating noise suppression processing and a dynamic parameter updating mechanism by a system, improving the monitoring accuracy and adaptive ability, combining the states of personnel, equipment and environment on a construction site, generating a corresponding risk level and an early warning control instruction by the system, and improving the early warning efficiency. Real-time risk identification and response linkage is realized, and the safety guarantee level of a construction site is improved. The method has the key characteristics of multi-source data fusion, boundary adaptive updating, risk response linkage and the like, and intelligent monitoring and dynamic intervention of construction site risks are realized.

The invention belongs to the technical field of marine environment monitoring and numerical simulation, and relates to a three-dimensional marine element field reconstruction method based on multivariable empirical orthogonal function decomposition. Comprising the steps of S1, multi-source data collaborative preprocessing; S2, MEOF joint modal extraction; S3, vertical projection operator optimization construction; S4, three-dimensional element field dynamic reconstruction; according to the method, through organic combination of multivariable modal decomposition and physical constraint projection, limitation of precision, efficiency and adaptability in three-dimensional field reconstruction in the prior art is broken through, key technical support is provided for real-time monitoring of the ocean dynamic environment, and the method can be widely applied to the fields of ocean disaster early warning, underwater engineering safety guarantee and the like.

The invention relates to the technical field of aviation safety data analysis and pilot training optimization, provides an aviation safety data and training data integrated analysis method and system, electronic equipment and a storage medium, and solves the problems of poor pertinence of pilot training and poor foresight of safety guarantee. The method comprises the following steps: automatically extracting threats, errors and unexpected aircraft states in aviation unsafe events from multi-source heterogeneous data, and judging a management state; based on the aviation safety knowledge graph, positive and negative competency and behavior indexes corresponding to the managed and unmanaged states are identified through graph calculation; the statistical frequency is analyzed, and a priority list of the security data side is generated; carrying out weighted fusion to obtain a target training list by combining a training data statistical analysis result of the same period; and in combination with the threat priority, generating a training scene configuration scheme containing threat elements and capability items, and forming a course content, evaluation standard and resource optimization configuration scheme. According to the invention, the pertinence of pilot training is improved.

The invention discloses a limited space gas monitoring and emergency response method and system based on multi-modal sensing and intelligent decision, and a storage medium, and aims to solve the problems of one-sided monitoring, low recognition precision and the like in the prior art. The method comprises the steps of system initialization and parameter configuration, multi-modal data real-time acquisition and transmission, fusion analysis and risk identification, leakage source positioning and concentration field modeling, multi-stage dynamic emergency response, emergency process adjustment interaction and system self-learning optimization. The system comprises a multi-mode sensing assembly, an intelligent decision-making module and the like, and can integrate a personnel positioning system and an access control system. According to the method, the risk identification precision is improved through multi-source data fusion, the response pertinence is enhanced through a dynamic emergency strategy, the adaptability is guaranteed through a self-learning and linkage mechanism, and comprehensive safety guarantee is provided for limited space operation.

To provide a safety design device, a safety design method, and a safety design program capable of deriving a security parameter whose safety is guaranteed in encryption design based on a Reused-A-LWE problem using a discrete Gaussian distribution as an error distribution.SOLUTION: A safety design device 1 includes: an inputting portion 11 that receives input of parameters n, m, q, s1, s2 of a Reused -A-LWE problem with a discrete Gaussian distribution as an error distribution; a calculation portion 12 that calculates a parameter sb of the LWE problem with the discrete Gaussian distribution as the error distribution from the parameter s1 and a constant C; an acquiring portion 13 that acquires a security parameter λ of the LWE problem by a calculation formula that guarantees predetermined safety; and an outputting portion 14 that outputs the acquired security parameter λ as a security parameter of the Reused -A-LWE problem.SELECTED DRAWING: Figure 1

Disclosed in the present invention are a non-technical source hierarchical rule base system and risk assessment method for critical information infrastructure. The present solution comprises: first, constructing a rule base of first-level index attributes and second-level rule attributes, so as to form a hierarchical rule base model; second, further classifying and analyzing non-technical source data, and using a confidence rule base model to assess non-technical source rule indexes and safety of a critical information infrastructure system; and finally, with regard to the safety risk situations of critical information infrastructure institutions, fusing and analyzing technical source information and non-technical source information, so as to provide a more accurate risk assessment result. On the basis of a critical information infrastructure safety assurance system, the present solution classifies rules into different levels, so as to improve the detection efficiency and accurate assessment of rule bases.

Embodiments disclosed herein provide an organic matter processing apparatus and method for the use thereof to convert organic matter into a ground and desiccated product. This can be accomplished using a bucket assembly that can grind, paddle, and heat organic matter contained therein. An air treatment system is provided to treat the air interacting with the organic matter. The processing apparatus is outfitted with sensors and switches that provide feedback data to a processing unit and a safety monitor. The feedback data is used to monitor the operating conditions and the status of various components, as well as control the operation of the processing apparatus. In addition, the feedback data is used to enforce a safety protocol.

The invention provides a mining disturbance surrounding rock bearing structure analysis method and a mining disturbance surrounding rock bearing structure analysis system, and relates to the technical field of surrounding rock bearing structure analysis. Through intelligent risk prediction of deep learning methods such as LSTM and the like, whole-process refined management and control of the surrounding rock bearing structure under roadway mining disturbance are realized; in combination with fault zone distribution, rock mass damage evolution and disturbance working conditions, the scheme can identify potential damage surfaces in real time and dynamically correct key geomechanical parameters, and it is ensured that the supporting structure design is highly matched with the actual risk; through hierarchical risk early warning and multi-objective optimization measures, the timeliness and accuracy of disaster early warning are improved, and accurate configuration of support resources and collaborative minimization of economic loss are effectively realized, so that the safety guarantee and management efficiency in a complex underground engineering scene is enhanced.

The invention discloses a robot guide path optimization method and system for gastrointestinal tumor assisted surgery, particularly relates to the technical field of robot assisted navigation, and is used for solving the problem of unstable and inaccurate path planning. According to the method, fusion of multi-modal information under the unified time and space is achieved through space-time alignment of a preoperative model and intraoperative perception data, registration uncertainty and visibility indexes are dynamically calculated, and the fusion of the multi-modal information under the unified time and space is achieved through construction of an anatomical risk layer, a forbidden zone, geometric stenosis, perfusion evidence, a collision distance margin and a puncture point remote rotation center constraint satisfaction degree. A multi-channel path cost graph is generated, the safety of the path is evaluated, a constraint propagation and regulation causal graph mechanism is combined, a conflict solution contribution degree and a path optimization priority sequence can be rapidly output, it is ensured that the robot executes the optimal path in a complex anatomical environment, a conservative mode is switched when a key risk index triggers a threshold value, and the optimal path is obtained. Real-time regulation and control and safety guarantee are achieved, and the stability of the operation process is improved.

The invention relates to the field of end-to-end automatic driving, in particular to an end-to-end automatic driving system and method based on a diffusion model and safety guidance, in the process of generating trajectory planning through the diffusion model, trajectory planning is adjusted through a safety guidance mechanism based on a bird's-eye view energy diagram obtained by sensing the traffic environment through the front end of an own vehicle, and the trajectory planning efficiency is improved. According to the method, the trajectory with safety guarantee is obtained, collision between the planned trajectory and other traffic participants is avoided or reduced, and the safety of automatic driving is improved while the planned trajectory conforms to data distribution learned by the network.

A safety assurance system and apparatus for improving the safety of unmanned vehicles where various computer, GPS and proximity data is collected onboard from the unmanned vehicle and transmitted to a ground / home station, where the data is assigned values according to fuzzy logic rules. The values are input to a fuzzy logic safety module and three different fuzzy logic security modules to safety and risk scores. The safety and risk scores are then applied to a decision tree to determine whether the native navigation control system should be confirmed to continue mission or overridden to hover / idle in place, land in place or return to home.

The invention discloses a sub-pixel-level displacement monitoring method and monitoring system for a steel rail telescopic regulator. The method comprises the following steps: S1, carrying out multi-modal data acquisition on the steel rail telescopic regulator; s2, carrying out sub-pixel-level edge positioning based on the gradient direction consistency constraint of the target edge; S3, carrying out multispectral cooperative imaging by adopting a self-adaptive weight fusion algorithm; s4, collecting temperature data in real time through a temperature sensor, and eliminating systematic deviation by applying a thermal expansion displacement compensation model; and S5, performing multi-modal data fusion on the data in the S2, the S3 and the S4. By innovatively fusing multispectral imaging, sub-pixel analysis and a physical compensation mechanism, a high-precision steel rail displacement monitoring system is constructed to form anti-interference and high-reliability monitoring output; the safety guarantee capability of the seamless track of the high-speed railway is remarkably improved, the monitoring precision is effectively improved, and the false alarm rate is reduced.

This invention provides an apparatus and method for cleaning long-distance filling pipelines using a gas-water mixture, belonging to the field of paste pipeline transportation technology. The apparatus includes a gas supply system, a water supply system, a gas-water mixing system, a safety assurance system, and a data acquisition system. During pipeline cleaning, the gas supply system is turned on after filling is completed; high-pressure gas mixes with the cleaning water to form a gas-water two-phase impact flow; the gas-water impact flow cleans the filling residue inside the pipeline along the transportation pipeline; cleaning ends when the solid content of the cleaning water decreases to 1%–3%. The addition of high-pressure gas intensifies turbulence, rapidly accumulates and releases energy, and induces localized water hammer, thereby improving pipeline cleaning efficiency. This invention can reduce the amount of cleaning water used from the usual 1.3 times the volume of the pipeline to be cleaned to 0.7–0.9 times, and reduce the pipeline cleaning time by 30%. This invention has the advantages of low water consumption, short pipeline cleaning time, and good cleaning effect, overcoming the current problem of high water consumption in pipeline cleaning.

The invention relates to the technical field of power system safety monitoring, in particular to a power transmission line tree flash hidden danger monitoring method based on multi-sensor fusion, which comprises a multi-source data acquisition module, a data fusion and preprocessing module, a risk feature extraction module, a dynamic risk assessment module, an intelligent early warning decision module and a monitoring feedback optimization module. Tree information is collected in real time through multiple sensors such as a laser radar and an infrared thermal imager, data quality is optimized by using improved Kalman filtering and wavelet transformation, risk features are extracted based on a fractional order differential equation, threat indexes are dynamically evaluated in combination with adaptive fuzzy clustering and a Markov chain model, and the risk assessment accuracy is improved. And finally, generating an early warning strategy through mixed integer linear programming. The tree flash hidden danger identification accuracy can be remarkably improved, the potential risk is comprehensively covered, the manual inspection cost is reduced, and intelligent safety guarantee is provided for a power system.

This invention discloses a robot-guided path optimization system for assistive surgery in gastrointestinal tumors, specifically relating to the field of robot-assisted navigation technology, to address the problem of unstable and inaccurate path planning. This invention achieves spatiotemporal alignment of preoperative models and intraoperative sensory data, fusing multimodal information in a unified time and space. It dynamically calculates registration uncertainty and visibility indices, constructs anatomical risk layers, no-entry zones, geometric stenosis, perfusion evidence, collision distance margin, and remote rotation center constraint satisfaction at the puncture point, and generates a multi-channel path cost graph to assess path safety. Combined with constraint propagation and causal graph control mechanisms, it can quickly output conflict resolution contribution and path optimization priority sequences, ensuring the robot executes the optimal path in complex anatomical environments. When key risk indicators trigger thresholds, it switches to a conservative mode, achieving real-time control and safety assurance, and improving the stability of the surgical procedure.

Disclosed are a key facility gas safety assurance method and a system, comprising the steps: 1. acquiring basic data; 2. using BIM technology to perform three-dimensional modeling of a key facility; 3. reviewing a model; 4. performing lightweight model handover of the reviewed model; 5. performing model splitting, control dashboard design, function development, and project deployment on a plan by means of a corresponding platform side of a key facility digital delivery platform adopting a B / S architecture; and optimizing the model by means of a corresponding mobile client utilizing AR and positioning technologies, then uploading the model to an AR collaborative platform, and performing location verification by means of creating a two-dimensional code on the AR collaborative platform and deploying the two-dimensional code. The present invention enables real-time monitoring, rapid linkage, intelligent command, and safety control of a gas system in a key facility.

This invention discloses a vertical lifeline device, comprising an integrated buffer upper support, a cable connector, a steel cable, a bottom support, a tensioning device, and a rope grabber. Both the integrated buffer upper and bottom supports securely hold the ladder using a back-mounted universal clamp. An integrally formed fixing plate on the support provides safety belt attachment points, and the combined effect of a buffer and stress-relief structure effectively mitigates the impact of a fall. The steel cable is fixedly connected by the cable connector, and the tensioning device provides a stable preload to the cable. It also includes a collapsible pad and a tension indicator to ensure reliable tension. The rope grabber also has locking and buffer / stress-relief functions, allowing for quick locking and protection during a fall. This system is easy to install, highly versatile, and through multiple protective structures, enhances the fall prevention and safety assurance capabilities of vertical ladder climbing operations.

This invention provides a method for processing streaming data throughout the entire lifecycle of an engineering project, relating to the field of engineering data processing technology. The method includes: constructing permanent spatial anchoring expression units for target structural units during the construction phase of deeply buried structures, generating a set of permanent spatial expressions for concealed components; performing lifecycle flow mapping modeling of the spatial anchoring expression units to generate a set of traceable spatial evolution paths for the concealed phase; performing spatial expression reconstruction and closed-state association processing for the concealed structural phase to generate a continuous field of spatial expression for the concealed structural phase; and performing continuous generation and flow expression modeling of the spatial semantics of streaming data throughout the entire lifecycle of the engineering project to generate a streaming data flow expression model for the entire lifecycle of the engineering project, completing a traceable flow expression of the spatial state of the concealed structural phase. This achieves continuous streaming data flow throughout the entire lifecycle, improves the digital management and safety assurance capabilities of engineering projects, and solves the problem of non-retrospective spatial flow after the closure of deeply buried structures.

The invention relates to the technical field of power equipment construction, in particular to a transformer substation sling protection system which comprises a power supply module, a main control core module, a distance monitoring module, a signal conditioning circuit, an alarm driving circuit and a limiting control circuit. The power supply module is electrically connected with the master control core module, the distance monitoring module, the alarm driving circuit and the limiting control circuit and supplies power to the master control core module, the distance monitoring module, the alarm driving circuit and the limiting control circuit, the system body including the master control core module and the distance monitoring module is fixed to the middle section of a crane jib and the position 1.5-2 m away from the tail end of the jib through an adjustable clamp, and it is ensured that a sensor is not shielded and directly faces an electrified equipment area; according to the system, the problems of manual control errors and response lag are avoided from the source through multi-dimensional accurate distance measurement and graded alarm setting, and the modular design and strong environment adaptability of the system can be quickly adapted to operation scenes of various swing arm type machines and tools and transformer substations with different voltage grades. And the continuous safety guarantee requirement of long-time high-risk operation is met.

The application provides a kind of campus security risk prevention and control cloud service platform, it is related to cloud platform technical field, including: data processing and transmission module, for based on cloud platform architecture data storage, processing and secure transmission, and support the automatic reconnection and concurrent control of data transmission;Safety assurance module, connect data processing and transmission module, for the digital management of the civil air defense, physical protection and technical support information of campus;Security risk prevention and control module, connect data processing and transmission module and safety assurance module, for the information processing and linkage of campus safety management, safety education and safety emergency process;Joint defense and control module, connect security risk prevention and control module, for based on the processing result of security risk prevention and control module, realize the data linkage and emergency response command between multi-level education management department and school. By constructing the campus security risk prevention and control cloud service platform, the intelligentization and collaboration level of campus safety management is significantly improved.

This invention provides a safety assurance method and system for unmanned aerial vehicles (UAVs) used for medical examinations of high-rise buildings in cities. The method includes: continuously monitoring the flight parameters of the UAV, sampling the flight parameter data at a frequency of ≥100Hz, and performing fusion processing using a Kalman filter algorithm; employing a fault diagnosis algorithm, based on a dual judgment mechanism of threshold and trend analysis, to analyze the collected flight parameter data in real time; comparing power redundancy and attitude stability indicators with preset thresholds to determine the fault level, and performing graded emergency handling according to the fault level, triggering corresponding handling and response strategies for non-catastrophic or catastrophic faults; after the UAV lands, confirming the safety of the landing point through visual SLAM or GPS positioning, and initiating onboard communication to report the status. This invention provides a complete solution from fault prevention to collision buffering through redundant design, graded emergency response, and dual-level protection, maximizing the protection effect and facilitating industrial implementation and verification.

A method and system for adaptive adjustment of power grid operation modes involves acquiring multi-source heterogeneous power grid data and constructing a knowledge base based on this data. Based on the knowledge base, deterministic rule verification is performed on operation instructions to be verified, filtering out instructions that violate preset rules. A large-scale operation instruction model is constructed and trained using the knowledge base to obtain a trained model, outputting dispatch instructions that comply with safety constraints. For operation instructions that pass the deterministic rule verification, power flow calculation verification, N-1 security analysis verification, and a three-level verification for extreme power grid scenarios and major events are performed sequentially. If any level of verification fails, the dispatch instruction is reconstructed by the large-scale operation instruction model, and the three-level verification is re-executed until all verifications pass. This invention achieves automatic generation and closed-loop optimization of safe and compliant dispatch instructions, significantly improving the automation level and safety assurance capability of power grid operation mode adjustment.

The embodiment of the invention provides a task processing method and device, electronic equipment and a readable storage medium. The method comprises the following steps: displaying a task navigation route of a target field task corresponding to a target task point location in an intelligent task map by responding to a navigation triggering operation of a target person for the target task point location; the task navigation route is used for indicating the target personnel to go to a task site corresponding to the target field task; carrying out hidden danger identification on the field picture of the task field to obtain a hidden danger type and hidden danger information corresponding to a potential safety hazard existing in the task field; and pushing the potential safety hazard to a front-end interaction interface corresponding to the target execution role based on the type of the potential safety hazard and the potential safety hazard information so as to prompt the target execution role to process the potential safety hazard. Thus, through the automatic and intelligent process, manual operation links are reduced, errors caused by human factors are reduced, the reliability and normalization of work are improved, and powerful support is provided for field task management and safety guarantee.

A method for constructing a large-section underground passage near a building / structure, comprising the following steps: setting a ring of a pipe shed at the passage section, setting ring and neutral column MJS piles around the outside of the pipe shed, conducting small pipe grouting to supplement stratum reinforcement in a non-MJS reinforcement area, setting a dewatering well at each of four corner positions of the excavated full section; breaking the underground continuous wall by measuring and marking the excavation contour line, and cutting off the reinforcing steel; excavating the full section of the soil, dividing the full section into at least four small sections, excavating each small section in turn until all small sections are completed; excavating the small sections while conducting excavation passage primary support structure construction to realize excavation and support simultaneously; after the primary support structure is completed, removing the steel arch frame, and then conducting waterproof layer construction; and finally conducting secondary lining structure construction. The method can ensure the stability of the soil during excavation, prevent damage to surrounding buildings / structures and underground pipelines, and provide safety assurance for construction.

The application provides a monitoring management module and method, a microcontroller, a computer program and a storage medium. The monitoring management module uniformly runs a security mechanism irrelevant to a virtual machine function or also runs a security mechanism corresponding to a started virtual machine. When a security mechanism monitoring error occurs, if the security mechanism is irrelevant to the virtual machine function, a global response or a partition response is executed; if the security mechanism is relevant to the virtual machine function, a fault response of the corresponding virtual machine is executed. It can be seen that by uniformly managing each security mechanism, the safe running environment of each virtual machine can be maximally ensured, the virtual machine does not need to perform security guarantee by itself, the development workload of the virtual machine monitoring software is reduced, and the hardware resources in the microcontroller and the computing resources of the central processing unit are saved, so that the cost is effectively reduced. In addition, the fault responses are separately managed, so that the virtual machines irrelevant to the fault can be ensured to normally run, and the system availability is improved while the system security is ensured.

The invention provides a battery temperature anomaly real-time monitoring system and method based on multi-dimensional analysis and a terminal, and the method comprises the steps: receiving temperature data collected by a plurality of temperature sensors on a target battery in real time, and caching the temperature data according to a time sequence; then, multi-dimensional detection is carried out based on the data, the absolute high temperature, the temperature rise rate, the overall temperature difference and local hot spot indexes are covered, and an anomaly detection result is accurately obtained. And a temperature anomaly sensor list is output according to a result, and powerful assistance is provided for fault positioning and maintenance decision making. According to the method, multiple indexes such as the absolute high temperature, the temperature rise rate, the overall temperature difference, the local temperature difference and historical frequency statistics are comprehensively considered, comprehensive evaluation and early warning are conducted on the temperature state of the battery pack, excellent real-time performance and robustness are achieved, and the intelligent degree and the safety guarantee capacity of a BMS are effectively improved.