16results about How to "Improve safety management level" patented technology

The invention discloses an intelligent power distribution room with comprehensive monitoring and management functions, and relates to the technical field of power distribution equipment. The device comprises an isolation plate, one side of the isolation plate is provided with a strong current chamber, the other side of the isolation plate is provided with a monitoring chamber, and the front side of the isolation plate is provided with a door frame. The power distribution room entrance is provided with the strong current room and the monitoring room which are separated by the isolation plate, the fingerprint identifier, the foldable door body and the linkage isolation mechanism are integrated on the door frame, personnel access control is achieved, when verification of monitoring personnel is passed, the first cam and the second cam limit the stroke of the guide rail rod, the door body can only enter the monitoring room in a half-open mode, and the safety of the monitoring personnel is improved. After verification by heavy current maintainers, the cam is completely released from limiting, the guide rail rod can be completely pushed into the rotating groove to drive the rotating disc and the gear ring to rotate, then the isolation door is opened through linkage of the driven gear to enter the heavy current room, physical isolation of a heavy current area and a monitoring area is achieved, and the safety management level of the power distribution room is improved.

A personnel positioning system and method for a large underground cavern complex based on a 5G communication network is disclosed. The system includes: a 5G communication network module transmitting the unique NR-PCI code and antenna deployment information of each base station to a GIS information system module; the GIS information system module providing an indoor geographic database containing the binding relationship between NR-PCI codes and geographic locations to a positioning engine module; the positioning engine module calculating the location of the user equipment based on the measurement data, NR-PCI codes, and GIS geographic information reported by the user equipment, and sending the positioning result to a data management server module; the data management server module storing the positioning result, personnel trajectory, and system configuration data, and supporting access by upper-layer applications; and the user equipment accessing the 5G network, collecting positioning measurements such as reference signal received power, signal arrival time, and signal arrival angle, and uploading the data to the positioning engine module to report its own location. This system addresses the problems of insufficient positioning accuracy, reliance on additional base stations, and poor adaptability in existing technologies.

The invention provides a marine fixing device for keeping a container stable, and relates to the technical field of ship freight. The marine fixing device for keeping the container stable comprises a linear module, the right side of the linear module is electrically connected with a power control cabinet, and a movable platform is installed at the top of the middle end of the linear module. Real-time sensing, analysis and decision making of the position and the stress state of the container are achieved through a control piece composed of an acquisition module, a preprocessing module, a pressure analysis module, a data processing module, a visualization and alarm module and a correction module. The system can dynamically adjust the actions of the linear module, the rotating seat and the locking mechanism according to the difference value between the calculated comprehensive stability score (S) and the target threshold value, so that the fundamental conversion from'maximum locking 'to'on-demand self-adaptive locking' is realized, the fixing reliability is ensured, and meanwhile, the stability of the locking mechanism is improved. And unnecessary energy consumption and equipment loss caused by continuous output of the maximum locking force of a traditional automatic system are avoided.

The application discloses a kind of operation safety monitoring method and system of bulky logistics, it is related to logistics monitoring technical field;The method comprises: based on the multiple heterogeneous sensors arranged on bulky logistics assets, real-time multi-source state data is collected, and unified real-time state vector is generated after data fusion;The state vector is used to update the digital twin model of asset in real time;And the data digest of state vector is recorded in blockchain to ensure that data is not tamperable and traceable;Further, based on the digital twin model, dual-mode safety monitoring is performed, including real-time anomaly monitoring in copy mode and active risk prediction in simulation mode;Finally, a safety alert is generated according to the monitoring or prediction result.The application solves the problems of incomplete state perception, delayed risk warning and low data reliability in the prior art.

The invention discloses a support hanger load and fault diagnosis method based on a finite element model and a vibration test, and the method comprises the steps: building a load-frequency diagnosis database and a fault-frequency spectrum diagnosis database through building a high-fidelity finite element model and applying refined boundary conditions; subsequently, support hanger vibration signals are tested using a portable device on site and features are extracted. And finally, intelligent matching and inversion are carried out on the test characteristics and the database, and quantitative identification of the support hanger load and qualitative diagnosis of faults such as spring failure and connection looseness are realized. The method solves the problems that a traditional method cannot quantitatively evaluate the load and is difficult to warn early faults, and an efficient and accurate technical means is provided for predictive maintenance of an industrial pipeline system.

The application provides a tunnel center drainage ditch and inverted arch filling integrated construction method, which comprises the following steps: step 1) completing inverted arch lining construction; step 2) installing horse stool supports on the inverted arch lining at least at two positions; step 3) constructing a combination of formwork net and steel bars; step 4) installing the combination on the horse stools at the two positions in step 2); step 5) installing horse stool I for supporting the front section of the tunnel center water ditch pouring formwork; step 6) installing the tunnel center water ditch pouring formwork in the combination; step 7) installing center drainage ditch cover plate steel bars on the two side center water ditch body steel bars; step 8) installing end block formwork; step 9) pouring inverted arch filling concrete; step 10) pouring center drainage ditch concrete; step 11) continuously pouring inverted arch filling concrete; step 12) continuously pouring center drainage ditch concrete; step 13) concrete moisture and temperature preservation and maintenance; step 14) demolding; and step 15) performing circulation construction.

The invention discloses a prestressed roof truss beam tensioning method which comprises the following steps: S1, prefabricating a component: binding a steel reinforcement framework, mounting an embedded part, setting a reserved hole channel, and pouring and maintaining concrete in sequence to form a roof truss beam concrete component with the reserved hole channel; the prestressed steel strand is penetrated into the reserved hole channel, the prestressed steel strand is an intelligent sensing steel strand, the structure of the prestressed steel strand is that an optical fiber rope is replaced or merged into the center wire position or the stranded rope core of the prestressed steel strand, at least a plurality of optical fiber sensors are packaged in the optical fiber rope, and the optical fiber sensors are arranged in the optical fiber rope; and a plurality of steel wires are uniformly arranged outside the optical fiber rope or the central wire. According to the method, the tensioning quality is improved from'result verification 'to'process controllability and result knowing', the controllability and precision of the tensioning process are achieved, the problem that prestress application is unqualified due to unsmooth hole channels, equipment errors and the like is solved, and it is guaranteed that the initial state of the structure is healthy.

This invention relates to a video analysis-based method for identifying proper reversing behavior of vehicles on the apron. The method utilizes an edge computing module and a comprehensive processing module for identification. The edge computing module acquires real-time video stream data from the flight area cameras, identifies vehicle and personnel targets, structures the relevant information, and pushes it to the comprehensive processing module. The comprehensive processing module organizes the structured data, performs a comprehensive judgment, generates a violation event, and sends it to the user for review. The advantages of this invention are: after training with real airport data, it achieves high accuracy in identifying apron vehicles and personnel. This invention can identify vehicle reversing behavior and whether someone is directing it, significantly improving the depth and breadth of airport security supervision, significantly increasing the work efficiency of supervisors, and enhancing the overall airport security management level.

The application provides a hazardous chemical vehicle abnormal behavior detection method based on multi-view spatiotemporal data mining, which comprises the following steps: collecting multi-view data information of vehicles entering a toll station area through a physical perception layer device; transmitting the multi-view data information collected by the physical perception layer to a computing service layer through a network transmission layer; receiving and processing the multi-view data information by the computing service layer to obtain multi-view time series data of the vehicles; constructing the multi-view time series data of the vehicles in a fractional domain based on a fractional Fourier transform; identifying vehicle abnormal events through a multi-view spatiotemporal data mining model based on the multi-view time series data of the vehicles in the fractional domain; and performing an alarm pushing operation after detecting the vehicle abnormal events by a business application layer. The application can detect the abnormal behavior of hazardous chemical vehicles in the toll station area of the expressway, discover and prevent risks in time, thereby improving the safety management level of the transportation industry and improving the transportation efficiency and safety.

The invention is suitable for the technical field of water conservancy project informatization, and provides a water conservancy project patrol management and protection method and system, and the method comprises the steps: collecting shoreline parameter data, water area parameter data and reservoir surrounding environment data; preprocessing the shoreline parameter data, the water area parameter data and the reservoir surrounding environment data to obtain a shoreline feature data set, a water area feature data set and a reservoir surrounding environment feature data set, and performing weighted fusion on the shoreline feature data set, the water area feature data set and the reservoir surrounding environment feature data set to obtain a comprehensive feature data set; constructing a potential safety hazard prediction model, inputting the comprehensive feature data set into the potential safety hazard prediction model, and predicting to obtain a potential safety hazard coefficient of the water conservancy project; comparing the predicted potential safety hazard coefficient of the water conservancy project with a preset potential safety hazard coefficient threshold value of the water conservancy project, and judging whether the potential safety hazard exists in the water conservancy project or not; according to the invention, the inspection efficiency and accuracy are greatly improved, and problems can be found and solved in time.

The present application provides a kind of coal mine water exploration intelligent management and control system and method, comprising: data acquisition module, for real-time acquisition in the process of coal mine water exploration multiple-source data;Data processing module, using microservice architecture and component design, for standardization integration and management to multiple-source data;Intelligent analysis module, for real-time analysis based on artificial intelligence machine vision technology to construction process video stream, including identifying drill rod quantity, personnel behavior and equipment state, and by three-dimensional modeling to real-time analysis drill hole trajectory;Intelligent early warning module, for according to real-time drill hole trajectory data and the dynamic comparison of preset design parameter, constructs multidimensional deviation early warning model, realizes risk classification early warning;Visual module;Management module.The present application realizes the whole process intelligent management and control of water exploration, effectively eliminates false exploration, leak exploration and other illegal behaviors, significantly improves the safety management level of coal mine water disaster prevention.

The invention discloses a tunnel constructor position monitoring method and system and an intelligent terminal, and the method comprises the steps: respectively arranging a plurality of wireless positioning base stations with a wireless ad hoc network function at a plurality of designated positions of a construction area in advance, and achieving the initial self-calibration of the wireless positioning base stations added into the network through the distance measurement between each other; accurate calibration of the wireless positioning base station is carried out through a laser radar scanner, and a virtual electronic fence for preventing personnel from entering an unsafe area is set according to a calibration result of the wireless positioning base station; when it is detected that the real-time position of the constructor crosses the set virtual electronic fence, a sound alarm module integrated in a wireless positioning base station is controlled to give an alarm, and a wearable device carried by the constructor is controlled to inform the constructor to leave the dangerous area in time through sound-light alarm and vibration feedback. The system has the characteristics of convenient deployment and high flexibility, can provide high-precision positioning and regional safety management functions in real time, and improves the safety of a construction site.

This utility model discloses a window opening height limiting mechanism and a fume hood having the same mechanism, relating to the field of fume hood technology. The window opening height limiting mechanism includes a housing with an opening groove inside. A window limiting switch is movably disposed within the opening groove. The top of the window limiting switch is hinged to the housing. A return spring is provided on the back of the window limiting switch. The window limiting switch has a limiting protrusion protruding outward from the opening groove. When the return spring is compressed, the limiting protrusion of the window limiting switch retracts into the opening groove. Applying the above-mentioned window opening height limiting mechanism to a fume hood, by limiting the opening height of the window, ensures that laboratory personnel maintain a safe distance from hazardous substances inside the fume hood during operation, preventing the large-scale overflow of toxic and harmful gases, aerosols, etc., reducing the risk of laboratory personnel coming into contact with harmful substances, and avoiding harm from chemical substances.

The application relates to a semiconductor refrigeration device and temperature control system with built-in NTC and TCO, which comprises a cold-end ceramic substrate, a hot-end ceramic substrate, a first NTC temperature sensor and a TCO temperature control controller. A thermoelectric element is arranged between the cold-end ceramic substrate and the hot-end ceramic substrate. The first NTC temperature sensor is built in the cold-end ceramic substrate or the hot-end ceramic substrate, and the heat-sensitive part of the first NTC temperature sensor is directly coupled with the ceramic substrate. The TCO temperature control controller is built in the cold-end ceramic substrate or the hot-end ceramic substrate, and the temperature-sensing part of the TCO temperature control controller is directly coupled with the ceramic substrate. The signal lead-out wire of the first NTC temperature sensor and the electrode lead-out wire of the TCO temperature control controller are respectively led out to the external pins of the semiconductor refrigeration device through the ceramic substrate. The application directly builds the NTC and the TCO in the TEC module, forms good thermal coupling with the ceramic substrate, and reduces the hysteresis and deviation of temperature sensing.

The application provides an all-weather traffic event identification method based on multi-AI large model joint decision, mainly including the following steps: firstly, real-time collection of all-weather traffic images is carried out through a road monitoring camera, and pretreatment is carried out to improve the image definition; subsequently, semantic analysis of the traffic images is carried out by using a large language model, and data structured storage is realized; inference of a traffic event type is carried out by using a locally deployed large language model; determination of the severity of the traffic accident is carried out in combination with the large language model; system maintenance is realized in combination with the large language model; the AITI-Agent is constructed by integrating multiple large models, the limitation of the traditional image recognition method in the complex traffic environment is solved, and more accurate and real-time all-weather traffic event identification and early warning are realized by integrating different large language models.

The utility model discloses an entrance and exit personnel wearing intelligent monitoring device based on image acquisition, which comprises a shell, an intelligent camera is fixedly mounted at the top of an inner cavity of the shell, a water tank is fixedly connected to the bottom of the inner cavity of the shell, and a conveying cylinder is fixedly connected to the left end of the top of the water tank. According to the utility model, through the arrangement of the intelligent camera, image acquisition and identification can be carried out on wearing and dressing of an entering person, the safety management level of a construction site is effectively improved, and through the arrangement of the shell and the transparent glass plate, the intelligent camera can be stored and protected; and meanwhile, through the arrangement of a driving motor, a reciprocating screw rod, an L-shaped rotating rod, a movable frame plate, a vertical rod, a piston, a conveying cylinder, a first one-way valve, a water tank, a second one-way valve and a cleaning spray pipe, the purpose of automatically cleaning dust shielded at a lens of the intelligent camera is achieved, and the situation that the definition of a monitoring recognition picture is affected due to dust attachment is effectively avoided.