33results about How to "Raise security awareness" patented technology

The invention discloses a building construction safety risk assessment method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a neural network model, and recognizing an unsafe behavior mode of a worker; receiving a data stream from a construction site in real time, dynamically adjusting risk assessment parameters according to a current construction state and environment change, and predicting potential safety risks; according to the prediction result, generating corresponding prevention measure suggestions; key indexes and abnormal conditions are displayed through a monitoring interface, and a detailed analysis report is generated; according to the invention, through dynamic assessment and timely response to the safety risk of the construction site, the risk assessment parameters can be rapidly adjusted according to the environmental change, the potential risk can be predicted, and the prevention measures and suggestions can be provided, so that the occurrence probability of safety accidents is effectively reduced, and the construction efficiency is improved.

The invention relates to the technical field of safety engineering, in particular to an intelligent high-altitude and fire operation safety management system based on risk assessment, which comprises a safety helmet module, a data acquisition and transmission module, an edge calculation and processing module, a risk assessment and decision module, an emergency response module and a data analysis and optimization module. The intelligent safety helmet worn by each operator is integrated with a flame sensor and a height sensor, and flame information in an operation environment and height changes of the operators can be collected in real time. Through the low-power-consumption wireless communication technology, the collected data is transmitted to the edge computing device in real time, and the edge computing device calculates the comprehensive risk index through multi-sensor data fusion. And when the risk index exceeds a preset threshold value, the system automatically triggers alarm, sends early warning information to operators and a management platform, and takes emergency measures, so that the accident rate in high-altitude operation and fire operation can be effectively reduced, and the safety management level of the operation environment is improved.

The invention belongs to the technical field of official vehicle management, and particularly discloses an official vehicle driving safety assessment method and system and a program product, and the method comprises the steps: collecting driving data in real time in an official vehicle use process, carrying out the data processing and feature extraction, and carrying out the risk recognition through employing a corresponding risk recognition network model based on the extracted features. According to the method, the corresponding risk category and probability are determined, then the risk level, the risk feature and the suggested measure are further judged, and finally the risk information is summarized to generate the safety assessment report for output, so that efficient driving safety assessment of the official vehicle can be realized, the risk identification capability is improved, and data-driven decision support is provided for safety management personnel; the safety consciousness of a driver can be enhanced, and the traffic safety accident rate of official vehicles is reduced.

The invention discloses a maintenance personnel operation behavior monitoring method based on artificial intelligence, and relates to the technical field of artificial intelligence. In order to solve the problems that the current locomotive depot personnel behavior monitoring is mainly performed by manual monitoring and cannot give an alarm at the first time when an accident occurs, so that hidden dangers are caused to safety production, and video monitoring personnel often face relatively high working pressure. Through the face recognition and human body posture estimation technology, the system can accurately recognize the identity and the position of the maintenance personnel and monitor the behaviors of the maintenance personnel in real time, the workload of the monitoring personnel is relieved, the behaviors of the maintenance personnel are automatically recognized through the OpenPose algorithm, manual monitoring is not needed, the monitoring efficiency and the automation degree are improved, powerful support is provided for maintenance safety management, and the system is suitable for popularization and application. The system can effectively improve the monitoring efficiency, reduce the safety risk, improve the safety awareness, and promote the scientific and intelligent development of the maintenance safety management, thereby effectively preventing and controlling the safety accidents, and improving the maintenance safety management level.

The invention discloses a building construction safety intelligent management method based on multi-dimensional data analysis, and the method comprises the following steps: S1, building a safety management information system, configuring data analysis software, and inputting the basic information of a construction site and the information of operators into the system; s2, regularly and comprehensively analyzing the potential safety hazard rate, the potential safety hazard thermodynamic diagram, the potential hazard occurrence time period and the violation operation histogram, and formulating safety management measures and adjusting the safety management measures according to an analysis result; and S3, building a safety education platform, and combining learning resources provided by the safety education platform with a plurality of safety education cards. According to the invention, the potential safety hazards existing in the construction site can be accurately identified, efficiently managed and prevented, and the overall efficiency of safety management is improved; and learning resources provided by the safety education platform are combined with a plurality of safety education cards, so that the safety awareness of operators is enhanced, and the occurrence of safety accidents on the construction site is fundamentally reduced.

The invention relates to a multi-scene safety production supervision method, system and device based on intelligent positioning. The method comprises the steps that operation and maintenance monitoring is carried out on an application corresponding to each production scene through an enterprise side safety production risk monitoring and early warning subsystem, and production related information is acquired. Different source data in the production related information are integrally processed, a standard data set is generated, a label is added to each piece of source data in the standard data set, and a labeled data set is obtained. And constructing a safety production monitoring model according to the danger attributes, and inputting the labeled data set as a sample data set into the safety production monitoring model for optimization training to obtain an optimized safety production monitoring model. And deploying the optimized safety production monitoring model to the edge computing device in a distributed manner, so that the operation and maintenance monitoring subsystem carries out supervision processing according to the position information transmitted by the personnel positioning system and the production process information. By adopting the method, the real-time performance and accuracy of production safety monitoring in the dangerous chemical environment can be improved.

The invention discloses an enterprise safety production joint control information management system, which relates to the technical field of production joint control information management and comprises a collection module, a data processing module, a safety management module and a response module. And selectable. According to the invention, dynamic assessment of the safety risk is realized, intelligent early warning is carried out according to the change trend and severity of the risk, the accuracy and timeliness of early warning are improved, quantitative analysis of the degree of dispersion of the safety risk is realized, a scientific basis is provided for emergency response, rapid response and intelligent scheduling are realized, the accident processing efficiency is improved, and the safety risk is protected. According to the method and the system, the real-time monitoring of the wind speed and the flow velocity data is realized, the quantitative evaluation of the emergency response capability is realized, accurate guidance is provided for the formulation and implementation of emergency measures, the accuracy and effectiveness of emergency processing are improved, dynamic early warning and accurate positioning of a risk source can be realized by using the real-time monitored wind speed and flow velocity data, and the accuracy and timeliness of early warning are improved.

This invention discloses a method, apparatus, device, and medium for generating visualization training on puncture based on mixed reality registration, relating to the field of mixed reality technology. The method includes: acquiring cardiac medical image data to generate a three-dimensional cardiac model; dividing the target sampling area and high-risk area and extracting the image coordinate system; acquiring spatial markers on the surface of the real training model to establish a real spatial coordinate system, and acquiring the initial pose of the puncture instrument to establish a pose coordinate system; uniformly registering the image coordinate system, the real spatial coordinate system, and the pose coordinate system and calculating the registration error; when the registration error is below an error threshold, real-time acquisition of the current pose of the puncture instrument and mapping it into the model to generate a virtual puncture path and risk warning information; recording the movement trajectory of the puncture instrument, and generating a quantitative score based on the movement trajectory, deviation angle, and the number of approaches to the high-risk area warning range.

The present invention relates to the technical field of medical equipment, and discloses a hyperbaric oxygen device, including a hyperbaric oxygen chamber body and a patient transfer mechanism, a door frame is provided with a threshold, a pressurized oxygen supply assembly includes an oxygen supply valve, a circulation valve and a replacement valve connected to the hyperbaric oxygen chamber body through a flange with a one-way flow, the oxygen supply valve is connected to the circulation valve, and the replacement valve is connected to the atmosphere, and the patient transfer mechanism includes a bed body and an obstacle crossing unit, the obstacle crossing unit includes an obstacle crossing arm rotatably arranged on the bed body, the obstacle crossing arm includes a first support leg and a second support leg, and a track is rotatably arranged between the first support leg and the second support leg. Through the design of the obstacle crossing arm and the rotating track on the bed, the threshold can be easily crossed, friction can be reduced, the pressure on the bed can be reduced, the transfer safety can be guaranteed, the burden on medical staff can be reduced, the stability and safety of the patient can be ensured, and the risk of transportation can be avoided. The valve provided on the hyperbaric oxygen chamber is used for replacement, the loss of high-purity oxygen can be reduced, and the accumulation of waste gas can be reduced.

The invention relates to the field of building construction safety, in particular to a construction safety risk intelligent management method and system for a fabricated building, and the method comprises the steps: receiving construction personnel data and assembly construction data in a preset range in real time; analyzing a construction type according to the constructor data and the assembly construction data; acquiring current environment data, and analyzing whether a construction condition is met or not according to the environment data and the construction type; when the construction conditions are met, analyzing the risk level of the current construction in combination with the environment data and the construction type; acquiring behavior data of the constructor, and judging whether the behavior data meets an early warning condition or not according to the risk level of the current construction; and when the behavior data meets the early warning condition, early warning information is sent to the target constructor. The risk is dynamically evaluated by collecting construction environment and personnel behavior data in real time. According to the data driving method, the accuracy of early warning is greatly improved, and the problems of missing report and false report caused by traditional static evaluation are effectively reduced.

The utility model discloses a highway dangerous section automatic sound and light early warning and prompting device, the utility model discloses through sound and light prompt mode to the dangerous road section of front carries out early warning, can effectively remind the driver to pay attention to road condition, reduces the traffic accident caused by inattentive or fatigue driving, thereby significantly reduces the accident rate. The setting of the device can improve the safety awareness of the driver, make him more cautious in the passing process, reduce the traffic risk caused by human negligence. At the same time, the device can reduce the economic loss and social influence brought by traffic accidents through preventing accidents and optimizing traffic management, and improve the use efficiency of the road. In addition, the device adopts intelligent and modular design, which is not only beneficial to energy saving and cost reduction and reduces the operation and maintenance cost, but also meets the development needs of modern traffic management facilities, and can promote the technical upgrading of highway traffic safety facilities.

The utility model belongs to the technical field of elevator safety protection, and particularly relates to a pit safety hook for preventing an elevator car from rushing down, which comprises a bottom plate, supporting plates, limiting cylinders, telescopic rods and the like, a plurality of supporting plates are distributed and mounted on the bottom plate in two rows and two columns, a plurality of adjacent limiting cylinders form one group, the number of the four groups is four, each group of limiting cylinders is fixedly connected to each supporting plate, and the telescopic rods are fixedly connected to the bottom plate. Each telescopic rod is arranged on the corresponding limiting cylinder in a sliding mode, one end of each telescopic rod extends out of the corresponding limiting cylinder, and the other end of each telescopic rod extends into the corresponding limiting cylinder. The four symmetrically-distributed buffer units are reasonably arranged on the pit safety hook, when an elevator car rushes downwards accidentally, the four buffer units can provide buffer force from the four corners of the bottom of the elevator car at the same time, according to the multi-point dispersion buffer mode, even if unbalance loading and inclination occur when the elevator car rushes downwards, impact energy can be evenly dispersed and absorbed, and the safety of the elevator car is improved. Local damage of the elevator car is avoided, and structural integrity and passenger safety are guaranteed.

The invention discloses a platform safety line grading early warning method and system based on deep learning, and belongs to the technical field of computer vision and public safety. The method comprises the following steps: initializing a system; acquiring video stream data of a platform monitoring area in real time and performing image preprocessing; identifying and positioning pedestrians in the video frame by using the target detection and segmentation model; based on the identified foot position information of the pedestrian, judging whether the pedestrian crosses a line or not; utilizing a multi-task attribute identification model to identify the attributes of the line-crossing pedestrians; calculating a minimum line-crossing distance of the line-crossing pedestrians and a target density factor of a line-crossing area, generating a comprehensive threat score, and generating a priority queue; and generating and executing a self-adaptive multi-mode safety reminder. According to the invention, the automatic, precise and graded management of the platform line crossing behavior is realized, the timeliness, accuracy and humanization level of early warning can be effectively improved, and the method is suitable for the safety protection of public traffic scenes such as high-speed railway stations and subway stations.

The invention relates to the technical field of radiation detection, in particular to a wearable radiation monitoring method and system, and the method comprises the following steps: installing a radiation detector in a wearable device, continuously monitoring the radiation level in an environment, converting detection data from analog to digital signals, analyzing the fluctuation range of the data, and obtaining a radiation data set. According to the method, the distance of the radiation source is estimated by constructing the attenuation model, more specific environment information and an instant monitoring and alarm mechanism are provided, and remarkable improvement, classification of radiation levels and estimation of the distance of the radiation source are provided in the aspects of real-time performance and personalized safety management, so that a user can know the radiation environment where the user is located more accurately, and the user experience is improved. And the design of the built-in reflective lead plate further enhances the radiation shielding capability of the wearable device, which is particularly important for individuals working in a high-radiation environment.

The utility model relates to the technical field of building construction, in particular to an S-shaped buckle for sealing a reserved hole, S-shaped components are arranged on the two sides of the interior of the reserved hole, the inward sides of the S-shaped components are attached to the inner wall of the reserved hole, plywood is arranged at the outward ends of the S-shaped components, and the plywood is connected with the S-shaped components. And the S-shaped assembly is fixedly connected with the plywood through a fixing plate and a fixing rope. Through the combined design of the S-shaped assemblies, the fixing plates, the fixing ropes and the anti-skid gaskets, stable fixation of the plywood is guaranteed, the falling risk is effectively prevented, the safety coefficient of a construction site is remarkably improved, meanwhile, the S-shaped assemblies can adapt to reserved holes of different sizes through the adjustable design of the U-shaped buckles and the fixing steel plates, and the construction efficiency is improved. And the universality and the field adaptability of the whole device are improved.

The application relates to a portable goaf gas concentration measuring device, which comprises an air suction pump, a gas analyzer and a probe rod; the air suction pump, the gas analyzer and the probe rod are independent structures; the probe rod is a hollow structure, one end of the probe rod is provided with a joint, and the other end of the probe rod is provided with a gas suction port; the air suction pump comprises a self-suction pump and a self-suction pump display screen; the self-suction pump is provided with a self-suction pump air inlet and a self-suction pump air outlet; the self-suction pump display screen is arranged on the self-suction pump and is electrically connected with the self-suction pump; the gas analyzer is provided with an analyzer air inlet, a gas detection component and an analyzer display screen; the probe rod can be detachably connected with the self-suction pump air inlet through the joint and is in conduction; the self-suction pump air outlet can be detachably connected with the analyzer air inlet through a connecting pipe and is in conduction; and the analyzer display screen is electrically connected with the gas analyzer. The scheme provided by the utility model can directly and accurately detect the harmful gas concentration of a goaf, is convenient to carry and is simple to operate.

The invention relates to the technical field of power distribution room operation and maintenance, and provides an acousto-optic warning device for power failure and power transmission of switching operation of a power distribution room, which integrates a microcomputer five-prevention locking system, a controller, an acousto-optic alarm device and a light flickering device. The switch state of a power distribution room is monitored in real time through the sensor module, after data are preprocessed through the controller, risks are evaluated through a machine learning early warning model, when danger is found, the controller immediately starts sound-light alarm and light flickering, a microcomputer five-prevention locking system is synchronized, and accurate transmission of operation instructions is improved. The device effectively solves the problems of high possibility of wrong interval and high misoperation risk in power failure and transmission operation of a power system, and remarkably improves the operation safety and efficiency, reduces the misoperation probability and enhances the system reliability through acousto-optic dual reminding and tight synchronization with a locking system. The system is reasonable in design and easy to install and maintain, provides powerful technical support for safe and stable operation of a power system, and has wide application prospects and practical value.

The utility model is suitable for the technical field of road security and protection, and provides a security and protection road blocking device. A support body; the first hinge blocks are mounted on the inner side of the supporting main body in an array staggered manner; the foldable handrail is movably hinged to the first hinge block; the rolling wheels are movably mounted on the inner side of the lower end of the supporting main body; and the transverse supporting structure is arranged on the outer side of the lower end of the supporting main body and used for transversely supporting the supporting main body. Compared with the prior art, the supporting device has the advantages that when the supporting device is used, the transverse supporting structure is arranged, so that the supporting body can be transversely supported while positioning is conducted, the supporting effect is better, and the problem that the ground needs to be damaged when fixing nails are adopted for fixing is solved.

The utility model discloses a safety behavior monitoring device for constructors, which belongs to the technical field of monitoring devices and comprises an image acquisition device, a smart phone and a server. The image acquisition device comprises an unmanned aerial vehicle carrying a high-definition camera and a remote controller with a display screen, the unmanned aerial vehicle is in wireless connection with the remote controller, the remote controller is in wireless connection with the smart phone, and the smart phone and the remote controller are both in wireless connection with the server. According to the utility model, the aerial work site image is obtained through the unmanned aerial vehicle, and the personal information of the constructor is automatically identified, so that the safety officer can clearly know the personal information of the constructor and whether the constructor has violation operation, and the problem that the existing aerial work patrol mode wastes time and labor is solved.

The invention provides a coal mine safety training system and method, electronic equipment, a storage medium and a product. The system comprises a management platform, a mobile terminal and a demonstration terminal, the management platform comprises a login unit and a training unit; and the login unit is used for enabling trainees to log in the training unit through a user login interface on the mobile terminal or the demonstration terminal, and displaying training contents matched with position attributes on a training interface of the mobile terminal or the demonstration terminal according to the position attributes of the trainees.

The utility model belongs to the technical field of safety education simulation equipment, especially high altitude falling object simulation device, including stand, the upper end of stand is fixedly installed with winch through a plurality of bolts, is coiled with wire rope on the winch, the upper end middle position of stand is equipped with the perforation, the bottom end all around of wire rope is fixedly connected with a plurality of steel wire rope, the bottom end of a plurality of steel wire rope is fixedly connected with the electromagnetic chuck in common, the bottom end of electromagnetic chuck is magnetically absorbed with simulation falling object, the bottom end inside of stand is fixedly installed with base through a plurality of bolts, the front end of base is equipped with the cavity of drawing, the inside sliding connection of cavity of drawing has the box of drawing, the inside bottom end middle position of box of drawing is fixedly installed with the head mould through screw, the upper end of stand is provided with the explosion -proof transparent glass cover, the utility model has good safety education effect, can effectively promote the safety consciousness of worker, uses better.

The invention discloses a traffic accident prediction method and device based on multi-factor influence, and a medium, belongs to the technical field of traffic accident prediction, and is used for solving the problem that road safety and accident early warning are not accurate enough in a complex road condition or a complex road environment in an existing urban road, and the traffic accident prediction efficiency is high. And early warning information is difficult to effectively provide for the driver. The method comprises the following steps: performing multi-factor correlation screening processing on all traffic road sections to obtain an accident risk road section area; performing network structure training processing on historical traffic accident time sequence events in the accident risk road section area under the condition that related time characteristics are matched with traffic accident factors to obtain an urban traffic accident prediction model; performing traffic accident risk prediction on the accident risk road section area in the current time period to obtain traffic accident risk information; and road section division of traffic flow diversion positions is carried out on the accident road traffic network corresponding to the accident risk road section area, and an early warning reminding position is determined.

The invention relates to the technical field of Internet of Vehicles, and relates to a vehicle driving behavior scoring method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: collecting Internet of Vehicles data of a new energy vehicle; based on the Internet of Vehicles data, determining at least one driving behavior scoring object of the vehicle in different travels; obtaining a scoring index value of each driving behavior scoring object; and scoring the vehicle driving behaviors in the target journey according to the driving behavior scoring objects and the corresponding scoring index values in the different journeys. By adopting the method, personalized accurate evaluation of the driving behavior can be realized for the operation condition of the new energy vehicle.

The present invention relates to the technical field of fire warning for new energy vehicles, and in particular to a fire warning system and method for new energy vehicles based on narrowband Internet of Things, including: a sensing module for obtaining battery status data, environmental data, charging data and driving data of new energy vehicles; an Internet of Things module for transmitting the battery status data, environmental data, charging data and driving data to a cloud service module through the narrowband Internet of Things, and setting the Internet of Things module according to the real-time status of the new energy vehicle; a cloud service module for pre-processing the battery status data, environmental data, charging data and driving data, judging the fire situation of the new energy vehicle, and outputting a fire response plan according to the judgment result; and a fire management module for handling the fire according to the fire response plan. The present invention improves the efficiency of fire warning for new energy vehicles.

This invention relates to an AI vision-based method for monitoring static electricity release behavior. It solves the technical problem of lacking a method for monitoring whether static electricity is being released and whether the release behavior is standardized in industrial safety production. The method includes the following steps: 1) Initializing parameters and starting the algorithm service; 2) Acquiring scene images; 3) Sending the scene images to the algorithm detector for detection; 4) Deleting personnel data information not in the static electricity release area; 5) Obtaining tracking numbers; 6) Binding hand detection boxes to corresponding human body detection boxes; 7) Performing minimum pixel filtering; 8) Determining whether the remaining personnel are entering or leaving the workshop; 9) Obtaining the determination result of whether the remaining personnel are releasing static electricity; 10) Obtaining the determination result of whether the remaining personnel have completed releasing static electricity; 11) Obtaining the determination result of whether the remaining personnel have left the static electricity release area; 12) Determining whether an alarm is triggered; 13) Repeating steps 2) to 12) until the monitoring period ends.

The utility model discloses an intelligent oxygen / acetylene gas cylinder storage and fire operation safety monitoring and management system, and mainly relates to the technical field of thermal power station construction safety monitoring. Comprising an intelligent sensor arranged on an oxygen / acetylene gas cylinder, an intelligent ignition device arranged on a welding gun, an intelligent fire extinguisher sensor arranged on a fire extinguisher, a flammable and explosive area protection sensor arranged in a flammable and explosive protection area and a wireless intelligent terminal arranged on a construction site. According to the utility model, monitoring of an oxygen cylinder and an acetylene cylinder on a construction site can be completed, and potential safety hazards can be eliminated.

The embodiment of the present invention provides a method, device, vehicle and storage medium for predicting the probability of an accident. The method includes: obtaining the user's usage behavior information of the assisted driving system; the usage behavior information includes: an evaluation factor selected from the scene information of the assisted driving system, the control information in the process of using the assisted driving system and the system status information of the assisted driving system, and the number of triggering alarm behaviors corresponding to the evaluation factor; according to the preset deduction rule for the evaluation factor, the total deduction value of the user is determined by the number of triggering alarm behaviors corresponding to the evaluation factor; and the predicted probability of the user having an accident is determined. In the embodiment of the present invention, the evaluation factor is obtained through the user's usage behavior information, and the predicted probability of the user having an accident is determined by determining the user's total deduction value, so as to classify the users, so that different risk avoidance strategies can be formulated for different users to improve the user's safety awareness.

The utility model discloses a monitoring alarm device for safety construction of a highway tunnel, which comprises a bottom plate and universal wheels fixedly mounted at four corners of the lower end of the bottom plate, and a packaged camera monitors and observes a construction site in the tunnel and sends instructions to a security horn and an audible and visual alarm. The bottom plate serves as a chassis and is used for hanging all equipment of the device, the movable support can vertically stretch out and draw back to 1-5 meters through the electric push rod, the security horn can play corresponding voice information according to instructions from the packaged camera, and the audible and visual alarm is turned on or turned off according to the instructions from the packaged camera. According to the monitoring alarm device for safety construction of the expressway tunnel, when personnel in a construction area violate construction safety specifications, the on-site security horn and the audible and visual alarm give an alarm, so that the safety awareness of the construction personnel is enhanced, the construction process is standardized, and the labor cost is reduced.