64 results about "Safety status" patented technology

The invention provides a ship lock metal structure safety detection and evaluation standardization system and method, and relates to the technical field of ship lock engineering safety detection. A distributed intelligent sensing module is obtained, and multi-dimensional dynamic parameters of a ship lock metal structure are collected through the distributed intelligent sensing module; the computer sends a starting instruction to the distributed intelligent sensing module through a preset sensor control program, receives and stores dynamic parameters returned by each sensor in real time, and establishes a timestamp index. Compared with the prior art, the method has the following beneficial effects: by integrating multi-dimensional dynamic parameters such as vibration acceleration, temperature gradient, corrosion current density and the like, the state change of the ship lock metal structure under dynamic load and severe environment can be comprehensively captured, and the sampling frequency is automatically adjusted in combination with a trigger type sampling mechanism; therefore, the transient response under the sudden load is effectively captured, early damage missed judgment caused by only monitoring static parameters is avoided, and the actual safety condition of the structure is reflected more truly.

The invention relates to the technical field of elevators, in particular to an elevator construction management system and method.The elevator construction management system comprises a data acquisition module used for acquiring operation parameters and environment parameters in the elevator construction process in real time; the data twinning module is used for updating an elevator construction twinning model according to the operation parameters and the environment parameters; the data processing module is used for processing the current elevator construction data reflected by the elevator construction twinning model and generating an optimized construction scheme according to a processing result; and the safety monitoring module is used for generating a construction safety state according to the operation parameters, the environment parameters and the current elevator construction data and generating construction early warning information based on the construction safety state, so that early discovery and active intervention of safety risks are realized. And finally, the core problems of potential safety hazard identification lagging and low transportation efficiency in a traditional mode are solved.

This invention discloses an elevator bearing safety early warning method, device, and medium based on the Internet of Things (IoT), relating to the field of control testing and monitoring technology. The method includes: acquiring raw analog signals and preprocessing them to generate synchronous data frames; decomposing fault impact sequences from the synchronous data frames and obtaining a bearing safety status index through weighted D-S evidence, while simultaneously matching a pre-diagnostic control logic library to generate a pre-diagnostic confidence identifier; based on the pre-diagnostic confidence identifier and the bearing safety status index, obtaining a dynamic health baseline through sliding retrieval and elastic tracking compensation, and dynamically extrapolating the control envelope through a stochastic control boundary evolution algorithm to generate a dynamic safety threshold; comparing the bearing safety status index with the dynamic safety threshold, evaluating link quality, and selecting a candidate route set; and obtaining the optimal route through a shortest delay tree to form an encrypted alarm stream. This invention achieves accurate generation of the dynamic safety threshold.

This invention discloses an intelligent safety belt system. The terminal device includes an online detection module; a server is electrically connected to the online detection module; the server includes a high-altitude work environment detection module, a high-altitude work status detection module, a safety status detection module, a positioning module, and a two-way voice communication module; the two ends of the safety belt body are opened and closed via buckle assemblies, and a second electrical box is used to detect the opening and closing status of the buckle assemblies; the second electrical box is electrically connected to the server; several hook devices include hook assemblies and a first electrical box, the hook assemblies are connected to the safety belt body, and the first electrical box is used to detect the opening and closing status of the hook bodies; the first electrical box is electrically connected to the server. This system enables monitoring of personnel working at heights.

This invention provides a vehicle door safety control method, comprising: receiving model parameters from a vehicle body domain controller to update a local model, and generating feature data characterizing the safety status of the corresponding vehicle door based on local multimodal sensor data; broadcasting the feature data and receiving feature data broadcast by other subordinate safety sub-controllers via a dedicated internal bus connecting all subordinate safety sub-controllers; performing collaborative reasoning based on its own feature data and all received feature data to determine the judgment result of the safety status of the vehicle door, and executing corresponding vehicle door safety control actions according to the judgment result. This invention solves the problems of insufficient accuracy and comprehensiveness in determining the safety status of vehicles door in the prior art, lack of coordination among vehicle door control units, lack of effective redundancy guarantee capability, and difficulty in meeting continuous reliability requirements.

The invention discloses a distribution network grounding operation safety state intelligent early warning and measurement and control system and method. The system comprises an intelligent jointing clamp, an intelligent grounding pin and a visual monitoring platform. The intelligent jointing clamp is integrated with a pressure sensing module used for sensing the hooking state of the intelligent jointing clamp and a wire, a positioning module used for conducting grounding point space positioning, and a safety authentication module used for equipment identity authentication. The intelligent grounding pin is integrated with a posture sensing module used for monitoring the embedding posture of the grounding pin, a depth measuring module used for measuring the embedding depth of the intelligent grounding pin, and a vibration sensing module used for identifying the impact characteristic in the embedding process of the intelligent grounding pin. And the visual monitoring platform is used for receiving the multi-modal sensing data uploaded by the intelligent jointing clamp and the intelligent grounding pin, and performing diagnosis and early warning of the grounding operation state according to the multi-modal sensing data. According to the invention, by constructing an end-edge-cloud collaborative system architecture, the operation and maintenance security of the power system is improved.

The invention provides a bulk commodity storage supervision method, which comprises the following steps: S1, multi-dimensional data acquisition: configuring acquisition equipment according to bulk commodity types, and acquiring commodity quantity data, environment data, safety protection data and circulation information; s2, data preprocessing: denoising, calibrating and splicing the collected original data; s3, data calculation and analysis: calculating the actual weight or volume of the commodity based on the preprocessed data; s4, real-time monitoring and early warning are carried out, and commodity inventory, environment and safety states are displayed on a monitoring terminal; and S5, control and information management are executed, and the automatic control equipment is docked to execute the regulation and control instruction. Through laser radar three-dimensional modeling and density dynamic correction, the method is superior to traditional manual estimation, solves the problem of inconsistency between accounts and reality, prevents and controls quality risks in real time, collects environmental data in real time, can effectively avoid losses such as grain mildew and dangerous chemical leakage, realizes multi-sensor linkage monitoring and automatic control, and realizes early warning and rapid disposal of risks such as fire and theft.

This invention discloses a multi-source sensing fusion method for safety status assessment of geotechnical structures, belonging to the field of geotechnical engineering monitoring technology. This invention collects comprehensive data through a multi-source sensing network, preprocesses and aligns it spatiotemporally, then extracts four types of heterogeneous features using an improved PCA algorithm and performs fusion and dimensionality reduction to obtain a multimodal feature map. A hybrid assessment model combining a spatiotemporally adaptive graphical neural network (ST-AGNN) and multi-field coupled numerical simulation is constructed. Through parallel inference combined with a risk evolution trend prediction algorithm, a safety status index and risk evolution curve are output. The safety level is determined based on the safety status index, and a tiered early warning and response are triggered by combining an emergency response priority algorithm. The model is periodically trained and parameters are calibrated using actual anomaly or disaster data as labels, resulting in adaptive optimization of the assessment model. This invention balances monitoring accuracy, prediction reliability, and response timeliness, solving the problems of insufficient comprehensiveness and accuracy in geotechnical structure safety assessment, and has broad application value.

The invention relates to the technical field of operation safety, and discloses an early warning information pushing device based on a safety portrait, and the device comprises a first portrait module, an early warning module, a second portrait module, and an alarm module. According to the method, the safety portrait is generated by collecting the safety data, risk early warning and alarming are achieved, and the digital management level is improved; the initial portrait is generated by quantifying the security data, and fine management is realized; by planning an early warning project, pre-risk early warning is emphasized; a basis is provided for dynamic correction of the portrait by calculating difference parameters; by generating a dynamic correction portrait, the safety state is accurately mastered; the early warning value is dynamically adjusted according to the risk level, and the early warning pertinence and accuracy are improved; various kinds of information are integrated into the dynamically-corrected portrait, and early warning value adjustment is achieved through the risk evolution index; precise personal risk management and control are realized, management and control problems are solved, risk prevention and control perspectiveness, effectiveness and refinement are enhanced, enterprise safety production management capability is improved, and enterprise production safety is guaranteed.

The invention relates to a sampling station personnel safety state detection method and system. The method comprises the following steps: acquiring a sampling station area image; target detection is carried out on a sampling station area image to obtain the position of a person, the position of a safety helmet, the position of a human body key point, the position of a safety rope and the positions of hooks at the two ends of a safety belt in the sampling station area image, and the position of the safety helmet and the position of the human body key point are determined based on the position of the person. The human body key points comprise a first detection point at the top of the head and a plurality of second detection points at other parts of the body, and the plurality of second detection points form a directed closed graph; according to the position relation between the safety helmet and the first detection point, the position relation between the hook and the directed closed graph, and the position relation between the hook and the safety rope, the sampling station personnel safety state detection is completed; according to the method, the safety state detection of the personnel performing the sampling operation can be accurately realized.

This invention relates to the field of coal mine safety monitoring technology, specifically providing a three-layer intelligent coal mine system. The three-layer architecture includes a perception layer, a network layer, and an application layer. The perception layer collects data to obtain multi-dimensional mine data, which is then preprocessed to obtain multi-dimensional target data. The network layer transmits this multi-dimensional target data to the application layer, which includes at least a data access layer and a business logic layer. The business logic layer includes at least a safety monitoring module, an equipment monitoring module, and a data analysis and simulation module. The safety monitoring module includes an environmental parameter monitoring submodule and a personnel positioning and safety monitoring submodule. The equipment monitoring module is used for equipment fault monitoring and prediction. The data analysis and simulation module monitors the mine's safety status and triggers risk warnings, improving the efficiency and accuracy of safety monitoring in the intelligent coal mine system.

This invention discloses a safety status detection device and control method for an on-board intelligent energy storage system, relating to the field of new energy vehicle technology. It includes: an information processing module for acquiring driving environment information and vehicle driving parameter information of the target vehicle; a data fusion module for identifying intelligent driving scenario information of the target vehicle by fusing driving environment information and vehicle driving parameter information; a planning module for planning the driving trajectory and actions of the target vehicle based on the intelligent driving scenario information; and a decision-making module for determining the safety status of the target vehicle based on the vehicle driving parameter information and intelligent driving scenario information, and determining target control decisions based on the safety status. This invention alleviates the technical problems of collisions occurring in real-world driving scenarios due to the inability to obtain correct prompts or control the vehicle.

A reservoir safety monitoring and early warning method based on multi-source heterogeneous data fusion is characterized by the following steps: constructing a multi-dimensional reservoir safety risk assessment index system to comprehensively assess reservoir safety; setting a quantitative reservoir safety risk level classification formula based on safety status score, failure probability, and severity of consequences; collecting and fusing multi-source heterogeneous data, and preprocessing the collected raw data; constructing a dynamic prediction model that integrates linear regression and machine learning to predict future values ​​of key safety indicators; assessing comprehensive safety risks; and issuing dynamic graded early warnings to achieve real-time, accurate, and comprehensive perception, intelligent diagnosis, and graded early warning of reservoir safety status.

This invention relates to the field of visual monitoring technology and discloses a method and system for monitoring the safety status of nursing staff. The method includes: performing three-dimensional posture reconstruction on the monitoring video of the nursing staff to obtain skeletal posture imaging; performing pixel-level semantic segmentation on the monitoring video to obtain the nursing staff's wearing status data; conducting a compliance assessment on the skeletal posture imaging based on the nursing staff's standard operating procedure document to obtain the nursing staff's operational standardization score; performing kinematic analysis on the skeletal posture imaging to obtain the nursing staff's biomechanical load index; conducting a multi-dimensional risk assessment on the operational standardization score, wearing status data, and biomechanical load index to obtain a comprehensive safety assessment result for the nursing staff; and encapsulating the comprehensive safety assessment result into a decision to obtain a safety status report for the nursing staff. This invention can improve the efficiency of monitoring the safety status of nursing staff.

This invention discloses a method for assessing the safety risk level of a reservoir dam, specifically relating to the field of reservoir dam risk assessment technology. It involves acquiring real-time stress data of the reservoir dam, spillway discharge capacity data, and reservoir water level change data, extracting and predicting abnormal features from these data, and generating relevant outliers. A fuzzy comprehensive evaluation method is used to perform weighted analysis on multiple risk factors to calculate the dam's comprehensive risk score. The comprehensive risk score is compared with a risk level classification threshold to determine the reservoir dam's safety risk level. Based on the assessment results, corresponding early warning information and emergency response measures are output to ensure the safe operation of the reservoir dam. This method can monitor the safety status of the reservoir dam in real time, provide timely early warning of potential risks, and offer scientific decision support for reservoir management personnel.

This invention belongs to the field of data center fire protection technology and relates to a method for analyzing data center fire protection operations. This invention constructs a digital twin model to dynamically deduce the fire extinguishing sequence chain and sequentially executes a two-stage verification process involving alarm signals and manual confirmation. For verification failure points, a dual identity and video verification process is further initiated, triggering alternative confirmation signals when necessary. Finally, by comprehensively considering fire extinguishing coverage, verification status, and confirmation results, the system's safety status is determined based on multiple criteria, and weak points are automatically located and reinforcement markers are generated. This method solves the problems of traditional simulations ignoring human factors, difficulty in consistently assessing emergency plan upgrades, and inability to automatically locate root causes. It achieves a panoramic and quantitative assessment of the operational safety of the fire protection system, significantly improving assessment reliability, system adaptability, and risk resistance.

This invention discloses a method for assessing the safety status of offshore wind power equipment, comprising the following steps: acquiring basic structural data and historical operational data of the offshore wind power equipment, and constructing a structural safety knowledge graph and a structural safety assessment index system based on the acquired data; determining the subjective, objective, and comprehensive weights of each safety assessment index in the overall structural safety status assessment of the offshore wind power equipment based on the structural safety assessment index system; and quantitatively assessing the safety status based on the acquired structural safety assessment index system and comprehensive weights to obtain its corresponding safety level. This invention constructs a knowledge graph-based structural safety assessment index system for offshore wind power equipment, integrates the optimal / worst-case method and the CRITIC method to extract the subjective and objective weights of the indicators, utilizes a game theory-based combined weighting model to achieve weight balance optimization, and finally combines a multi-index state distance method to quantitatively classify and grade the structural safety status of the equipment.

The embodiment of the invention relates to the technical field of vehicles, and discloses a vehicle-based child safety state monitoring method and device, and the method comprises the steps: obtaining the first boundary information of a target geographic element in a preset perceptible range of a vehicle after the vehicle enters a preset mode; determining a safety area in the perceptible range according to the first boundary information; acquiring position information of children in the perceptible range; and monitoring the safety state of the child according to the position information of the child and the safety area. By means of the technical scheme, the problem that in the prior art, the reliability of the child safety state is poor can be solved.

An asset management system helps ensure the safety of technicians performing maintenance on electrical power generation assets. The system includes an electronic device operated by a technician. Prior to performing maintenance on a power generation asset, the technician utilizes the electronic device to scan an identification marker on the asset. The electronic device then retrieves, from an asset database, status data regarding the safety status of the asset. The electronic device displays the status data to the technician.

This invention discloses a method, apparatus, and electronic device for safety status assessment, belonging to the technical field of railway station building safety status assessment. It includes obtaining assessment value information based on collected monitoring data of target components; determining whether the target effect quantity information conforms to the preset threshold range based on a preset threshold range and component status information corresponding to the threshold range; the component status information includes a... u Level, b u Level, C u level and d u Level, the a u Level, b u Level, C u level and d u The levels decrease sequentially; if so, the corresponding component status information is used as the load-bearing capacity level of the target component; determine whether the load-bearing capacity level is a. u Level or b u If so, then based on the collected displacement deformation information of the target component and the preset design limit range, it is determined whether the displacement deformation information conforms to the preset design limit range. This invention achieves the technical effect of improving evaluation efficiency and enabling timely evaluation and processing.

This application discloses a method, apparatus, device, and storage medium for in-vehicle cleaning, relating to the field of vehicle control technology. The method includes: responding to a user activating an in-vehicle cleaning mode via a mobile terminal, performing multi-dimensional safety checks on the vehicle's door status, occupant status, and battery charge status based on the vehicle's safety status data and vehicle status data; if the safety status checks pass, determining a target cleaning operation that meets triggering conditions based on the current relative humidity value inside the vehicle, and determining the target cleaning unit and target cleaning parameters for the target cleaning operation to perform cleaning on the vehicle's interior. This solution, by determining the target cleaning unit and target cleaning parameters for the target cleaning operation after passing multi-dimensional safety checks, improves the safety of in-vehicle cleaning and enhances the user experience.

To provide a safety monitoring system, a safety monitoring method and a safety monitoring program for detecting both the working state of a worker and the wearing state of a protector, and for monitoring the safety of the worker based on the detection result.SOLUTION: A safety monitoring device includes a prevention detection unit that detects a prevention state in a work environment as to whether or not a safety measure is taken based on information from at least one first sensor, a work detection unit that detects a work state in the work environment as to whether or not predetermined work is being executed based on information from at least one second sensor, and a determination unit that determines whether or not work is possible in the work environment based on the prevention state and the work state.SELECTED DRAWING: Figure 1

To ensure the safety of workers at a waste treatment facility while reducing the workload caused by the work of checking whether safety is ensured through automation. [Solution] A safety device 1 in a waste disposal facility 100, comprising an entry prevention device 4 capable of restricting a worker's entry into the area R in front of the waste inlet opposite a waste inlet 102 connected to a waste pit 105, and a control unit that controls the entry prevention device 4, wherein when the control unit determines that the worker is not wearing a smart safety belt 2, it causes the entry prevention device 4 to restrict the worker's entry into the area R in front of the inlet, and when it is determined that the worker is wearing the smart safety belt 2, it causes the entry prevention device 4 to allow the worker to enter the area R in front of the inlet, with at least one of the conditions being that it has been determined that the worker is wearing the smart safety belt 2.

By making effective use of empty seats and encouraging passengers to sit down, we aim to improve safety inside the train. [Solution] The setting conditions require that there are standing passengers and that certain seats are vacant. This allows for proactive announcements encouraging passengers to sit down in priority seats 16A (recognition of manners) and shared seats 16B (sharing with unfamiliar passengers), which passengers tend to hesitate to sit in.

This invention belongs to the field of vehicle braking control and autonomous driving control technology, and relates to a control method and device for a full-time active safety automatic emergency braking system. The method includes: collecting environmental perception, vehicle operating status, takeover status, boundary constraints, and FAS-AEB system health data, performing time alignment and validity checks; calculating risk fusion values ​​using a unified risk fusion model and mapping them to risk levels; generating graded safety control commands based on risk levels, and generating control switching commands based on risk fusion values; periodically sending safety status identifiers through an independent safety link; continuously monitoring anomalies, triggering graded failure protection based on anomaly duration, and restoring and re-looping in reverse order after anomaly resolution. This invention achieves continuous online active safety throughout the entire process of autonomous driving, local takeover, and remote takeover, reducing the risk of collisions during takeover, operational interruptions caused by single emergency stops, and the insufficient availability of single-level failure protection.

1. Name of the product in this design: Protective wire for light indicator. 2. Purpose of this design: For indicating the safety status of lines during line work, warning of work areas, and protection of lines. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

The system monitors the congestion level in each section of the train car and guides passengers to the less crowded areas. [Solution] Based on image information captured by the surveillance camera 30, the positions of passengers inside the vehicle are estimated, the congestion level of passengers in each area (front area AF, area in front of the middle door AM, and rear area AR) is determined, and announcement information corresponding to the congestion level is selected and the announcement is executed.

The invention discloses an intelligent safety protection system and method for electric power operation. The system comprises a multi-source fusion positioning and three-dimensional modeling module, a safety state perception and risk pre-judgment module, a hierarchical intervention control module, an edge calculation and digital twinning module, a 5G slice communication transmission module, a multi-scene adaptation module and a system data management and optimization module. The UWB, Beidou and visual reconstruction multi-source fusion positioning technology is adopted, dynamic three-dimensional modeling is combined for positioning deviation correction, the positioning limitation of a single technology in a complex environment is effectively solved, high-precision positioning is achieved, and accurate position support is provided for safety protection. According to the method, infrared thermal imaging, millimeter wave radar and a YOLOv8 optimization algorithm are fused, dominant safety violation behaviors can be identified, hidden misoperation risks can be pre-judged based on data such as equipment temperature and operation postures, and full-dimension safety state sensing is achieved.

This invention relates to the field of mine safety monitoring technology, specifically to a coal mine shaft safety monitoring system and method, comprising: an environmental sensing module: simultaneously acquiring first-type monitoring data characterizing the formation water chemical environment and second-type monitoring data characterizing the structural physical response of the shaft wall at key geological strata of the shaft wall; a water chemical environment sensing module: determining the abnormally active state of the formation water chemical environment based on the dynamic change trend of the first-type monitoring data; a data analysis module: analyzing the simultaneously acquired second-type monitoring data based on the abnormally active state; and a safety assessment module: determining the comprehensive safety status level of the shaft wall based on the correlation analysis results of the first-type and second-type monitoring data. This invention achieves early warning of the shaft wall safety status by simultaneously monitoring the water chemical environment and structural physical response, and establishing correlation analysis and classification judgment between the two.

This invention provides a method, device, and readable storage medium for detecting the safety of relay protection operating settings. It considers the rationality of the numerical operating settings of the target relay protection device, determining a first safety score relative to the numerical operating settings. It also considers the issues of anti-over-level protection activation and anti-over-level network communication status, determining a second safety score. Finally, it considers the issue of accurate leakage current protection activation, determining a third safety score. By comprehensively considering all the above scores, a total safety score for the operating settings of the target relay protection device is obtained. This total safety score is then compared with a safety threshold to obtain the safety detection result of the operating settings of the target relay protection device. This detection method can accurately reflect the safety status of the operating settings of the target relay protection device, helping to understand the safety status of the operating settings and prevent accidents.