2605 results about "Operational safety" patented technology

The invention discloses an intelligent operation and maintenance method and system based on an MCP protocol, and belongs to the crossing field of artificial intelligence and operation and maintenance automation. The system comprises an AI Agent module, a central intelligent analysis engine module, a man-machine interaction module and a safety control module. The method comprises the following steps: collecting system operation data in real time through an AI Agent module, and packaging the system operation data into an MCP protocol format; the central intelligent analysis engine module predicts the load based on an LSTM model, and generates operation and maintenance decision suggestions in combination with log anomaly recognition and reinforcement learning; the man-machine interaction module realizes understanding of user input through a natural language large model, automatically converts the user input into an MCP instruction, and supports multiple rounds of interaction confirmation and instruction verification; the safety control module provides an MCP operation sandbox and semantic instruction verification, and the operation safety is guaranteed. The system can dynamically schedule resources and automatically dispose faults, realizes that non-technical personnel can execute complex operation and maintenance operations, and is suitable for application scenes with high reliability requirements, such as industrial data acquisition and chemical engineering.

The invention discloses a ship control auxiliary method based on machine learning, and relates to the technical field of ship intelligent control, and the method comprises the steps of ship data collection, fuel oil energy consumption prediction, dynamic navigational speed planning and energy-saving feedback control. According to the method, the fuel energy consumption is predicted by adopting a prediction method combining multi-mode and disturbance self-adaption, modeling multi-dimensional data is unified, perception of environmental disturbance is enhanced, accurate prediction of the fuel energy consumption under complex navigation conditions is realized, and the reliability of subsequent dynamic navigational speed planning is effectively improved; dynamic speed planning is carried out by adopting a speed planning method combining multiple targets and segmented constraints, three core factors of fuel energy consumption, navigation time and safety risks are comprehensively considered, a multi-target cost function is constructed, segmented constraints are introduced, the physical feasibility and risk control of speed adjustment are guaranteed, the speed is optimized through a reinforcement learning mechanism, and the speed planning efficiency is improved. Intelligent self-adaptive navigational speed adjustment is achieved, and the energy-saving capacity, the navigation efficiency and the operation safety of the ship under the complex navigation condition are improved.

The invention relates to the field of industrial production, and discloses a predictive maintenance system for an ultra-efficient explosion-proof motor based on digital twinning, which comprises the following steps: when key operation parameters of the motor deviate from a normal working condition interval, judging whether the key operation parameters reach a digital twinning model activation threshold value or not; based on historical operation data, sensor real-time data and environmental factors, a digital twin model is called to construct virtual mapping of motor operation, a current state evolution trajectory is generated, and whether the operation trend has a fault or not is predicted; the state track change mode is matched with a historical fault library, and whether a potential fault path exists or not is evaluated; according to the fault risk level and the predicted occurrence time, in combination with the current production plan and the equipment health tolerance, whether an advanced intervention measure needs to be taken is judged; and generating an intervention scheme according to state regulation and control parameters fed back by the digital twinning model in combination with specific working conditions. The method has the advantage that the operation safety and the maintenance efficiency are improved.

The invention relates to the technical field of metering pumps, in particular to an external meshing gear metering pump flow calculation method based on linear regression and curve fitting, which comprises the following steps: generating an integrated data set by monitoring the flow rate, pressure, temperature and viscosity in real time, setting flow rate, pressure and temperature thresholds based on the data set, judging the flow state and recording abnormity, and calculating the flow rate of the external meshing gear metering pump. Flow velocity and viscosity are selected for flow calculation, a corrected flow value is generated, whether flow is normal or not is analyzed and determined, a flow stability evaluation result is generated, and a visual interface is created to display parameters and a calculation result. According to the method, the multiple sensors are installed at the inlet and the outlet of the metering pump, the flow speed, the pressure, the temperature and the viscosity are monitored in real time, an integrated data set provides a precise basis for flow calculation, a threshold value is set, data are monitored, it is ensured that parameters exceeding the normal range can be recorded and analyzed in time, and the process improves the accuracy of flow calculation and improves the working efficiency. And flow evaluation is optimized, and the operation safety and efficiency are improved.

The disclosed invention provides a system and method for processing air traffic control (ATC) communications to ensure real-time validation of aircraft operations and improve pilot logbook accuracy. The system receives ATC voice communications through a digital radio system, converts them to text using a natural language processing model trained on aviation terminology, and extracts key operational data, including aircraft identifiers, instructions, and corrections. This data is correlated with Automatic Dependent Surveillance-Broadcast (ADS-B) and GPS data to verify compliance with ATC instructions. The system creates a continuous transcript of ATC-pilot communications, stitching together conversations across multiple frequencies. Deviations from ATC instructions are detected, generating alerts and logging the events. The method further provides automated reporting, archiving of communications, and enhanced safety metrics in immutable pilot logbooks, using blockchain technology for secure storage. This invention improves operational safety, transparency, and flight data integrity.

The invention relates to the technical field of aerocar mode switching, and discloses a distributed driving aerocar self-adaptive fault-tolerant control method for actuator multimode failure, which comprises the following steps: constructing a unified six-degree-of-freedom dual-mode state space model; residual signals are generated based on extended Kalman filtering and a sliding-mode observer, and fault types and positions are positioned in real time through a lightweight classifier; the method comprises the following steps: extracting residual time-frequency features, identifying hard faults by using a lightweight convolutional neural network, quantifying soft fault degrees through an incremental support vector machine, fusing multi-source information based on a Bayesian network to output fault types, levels and confidence coefficients, and introducing an incremental learning mechanism to realize self-evolution of a diagnosis model; a virtual control instruction is generated by adopting hierarchical sliding mode control, thrust and torque distribution of remaining actuators is optimized based on a dynamic quadratic programming algorithm, control parameters are adjusted online in combination with a Lyapunov adaptive law, aerodynamic interference and model uncertainty are inhibited, attitude stability and trajectory tracking in air-ground mode switching are guaranteed, and the method has the advantages of being high in reliability and high in reliability. And the fault-tolerant performance and the operation safety of the hovercar in the air-ground mode switching process are obviously enhanced.

The invention discloses an intelligent monitoring and adjusting method and system for a steel structure, and the method comprises the steps: deploying a plurality of types of sensors at key parts of the steel structure, continuously collecting various types of physical quantity data, recognizing potential abnormal events in real time through a dynamic threshold detection mechanism, and responding to the abnormality of a certain sensor. The system automatically associates and extracts the time sequence data of other sensors associated with the spatial position of the sensor before and after the exception to form a multi-dimensional and time-space coupled data slice, and then performs time-space feature extraction on the data to extract the mode representation of the complex exception state; and based on this, accurate matching and diagnosis of the causes of the abnormal events are realized. Through the mode, the intelligent sensing and analysis capability of the health state of the complex, multi-source and multi-dimensional steel structure is improved, solid data support and decision basis are provided for subsequent scientific adjustment measures, and the operation safety and management intelligence level of large-scale steel structure engineering are better guaranteed.

The invention discloses a power transmission line icing state monitoring and ultrasonic deicing system and method based on online power taking, and belongs to the technical field of power equipment. The problems that potential safety hazards are caused by icing of a power transmission line and a traditional deicing mode is high in cost and low in efficiency are solved. By integrating an online power taking module, an icing state monitoring module, an ultrasonic deicing module, a hot ice melting module and an intelligent management module, real-time monitoring and intelligent deicing of icing of the power transmission line are realized; wherein the ultrasonic deicing module is used for removing an ice layer through ultrasonic vibration, and the hot ice melting module is used as an auxiliary means for melting the ice layer through resistance heating when necessary; the system controls all the modules to work coordinately through the intelligent management module, and energy consumption and cost are reduced while efficient deicing is ensured; remote monitoring and fault diagnosis are achieved, the line state is mastered in real time, response processing is conducted in time, the operation safety and stability of the power transmission line are improved, power outage accidents and economic losses caused by icing are reduced, and the intelligent operation and maintenance level of a power grid is enhanced.

The present invention discloses a method, apparatus, medium, and device for sway control of an overhead crane, the method comprising: establishing a lifting strategy corresponding to the target lifting operation; obtaining training data of the target operator controlling the crane bridge and / or trolley to complete a simulated lifting operation according to the lifting strategy; analyzing the training data to generate the sway control method for each target motion state of the crane bridge and trolley; and adopting the corresponding sway control method during actual lifting based on the current travel state of the crane bridge and trolley. The present invention performs overall path planning and crane bridge and trolley motion state planning for the lifting operation to determine a lifting strategy consistent with the construction site environment.During the lifting process, electronic and manual sway damping are combined depending on the operator's operating habits and skills, which not only improves the lifting performance but also increases the operational safety of the bridge crane, so that the load only shakes slightly when the bridge crane starts, stops, accelerates or decelerates, which improves the safety of the lifting process.

The invention discloses a vehicle operation control system, method and equipment, a medium and a product. The system comprises an operation state determination subsystem used for determining predicted operation situation information associated with a vehicle; the operation constraint subsystem is used for determining vehicle operation constraint parameters based on the predicted operation situation information and determining a to-be-driven mode of the vehicle; the motion control subsystem is used for determining an actuator reference instruction based on the predicted operation situation information, the to-be-driven mode, the vehicle operation constraint parameters and the to-be-driven track; the control distribution subsystem is used for determining an actuator distribution instruction of a plurality of actuators in the vehicle based on the actuator reference instruction and the predicted operation situation information; and the coordination control subsystem is used for determining target actuator instructions of the plurality of actuators based on the to-be-driven mode and the actuator distribution instruction, and controlling the actuators to operate based on the target actuator instructions. The control consistency, the response real-time performance, the operation safety and the comfort of the whole vehicle in a complex dynamic scene are improved.

The invention relates to the technical field of unmanned ships, and discloses an unmanned ship with a gravity center self-adaptive adjusting device, which comprises a supporting floating body, a gravity center self-adaptive adjusting device, a gravity center self-adaptive adjusting device and a gravity center self-adaptive adjusting device, the driving mechanism is used for providing necessary power for the catamaran; the cross beam mechanism is used for connecting and supporting the floating body and a main body of the ship. According to the unmanned ship with the gravity center self-adaptive adjusting device, the gravity center shifting mechanism is arranged, when the gravity center self-adaptive adjusting device detects that the operation environment of the unmanned ship is gentle, the bottom platform can descend through the telescopic cylinder, the bottom platform drives the vertical connecting plate and the middle floating body to move downwards, and therefore the area, making contact with water, of the middle floating body is increased; therefore, the wet surface area of the ship can be enlarged, frictional resistance can be fully reduced during high-speed operation, and when the gravity center self-adaptive adjusting device detects that the operation environment of the unmanned ship is severe, the battery can be driven to regulate and control the gravity center, the speed can be properly reduced, and operation safety is kept.

The invention discloses an industrial robot control method based on deep learning, and relates to the technical field of industrial robot control. Comprising the steps of collecting operation data of a robot in a working process in real time through a sensor; dynamically adjusting control parameters according to real-time data changes; based on the reinforcement learning model, the complexity of the current task and the robot capability are analyzed in real time, and cooperative tasks among the multiple robots are intelligently distributed; the running state of the robot is continuously monitored, and early warning is given out when abnormity is found; according to the invention, real-time analysis and intelligent allocation are carried out on the task complexity and the robot capability through the reinforcement learning model, the task cooperation efficiency is optimized, and the resource utilization rate is improved; according to the method, an abnormal detection and early warning mechanism is constructed, an operation deviation state is rapidly identified, when an abnormity occurs, the abnormity is fed back to a control system through a graded early warning signal, task redistribution or parameter adjustment is carried out, and the self-adaptability, the cooperation capability and the operation safety of the industrial robot in a complex scene are remarkably improved.

The invention discloses a limited space operation intelligent monitoring system based on multi-sensor fusion, and relates to the technical field of intelligent monitoring. Compared with a previous intelligent monitoring system, the system solves the problems that the space limitation degree and the environment complexity in a limited space are relatively high, and the operation safety risk is relatively high; a traditional monitoring method carries out monitoring based on a single sensor and lacks real-time performance and accuracy. The condition in a limited space is sensed and monitored in real time by fusing data of various sensors, so that the operation safety and the normal operation of equipment are ensured; intelligent mobile equipment is also integrated, so that the position and the state of an operator in a limited space can be accurately determined in real time; behavior recognition is carried out on people, vehicles, non-motor vehicles and the like through a behavior detection method, corresponding alarm and enhanced management are carried out, and the operation safety is further improved; and remote real-time monitoring of limited space operation is realized in combination with the Internet of Things technology, and all-around safety guarantee is provided for the limited space operation.

The invention relates to the technical field of mechanical arms, in particular to a man-machine interaction system of an intelligent mechanical arm with a body. The system decomposes a long time sequence task into sub-tasks through a large language model, and introduces a task acquisition module, a task queue management module, a task re-planning module and a control execution module, uses visual detection to identify gestures and environment events to trigger temporary tasks, and maintains interruptible marks and safety anchor points based on priorities and interruption risks. And during interruption, the mechanical arm with the timestamp and the environment state are collected, during recovery, the states are compared, local re-planning is carried out, transition sub-tasks are automatically generated for failure sub-tasks, and the mechanical arm is controlled to execute after constraint verification. According to the system, on the premise that the structure consistency, the space consistency and the time consistency are guaranteed, safe interruption and efficient recovery in a long-time-sequence task can be achieved, and the autonomy, the real-time performance and the operation safety of the mechanical arm in a man-machine cooperation scene are remarkably improved.

The invention belongs to the technical field of hydroelectric generating set monitoring, and relates to a water turbine bearing temperature and lubricating oil state monitoring and fault diagnosis method and system. According to the method, triple-redundancy temperature measurement values of a water turbine bearing are adopted, multiple parameters are fused, redundancy design is adopted, sensor failure diagnosis is executed, a temperature-vibration-oil pressure combined feature space is constructed according to the triple-redundancy temperature measurement values and online oil quality parameters, a fault propagation map is established, and the fault propagation map is analyzed. And finally, based on the multi-level diagnosis model and in combination with the fault propagation atlas, composite fault mode recognition is realized, a fault classification result is obtained, and the composite fault mode recognition is realized based on the multi-level diagnosis model, so that the problems of low reliability, single monitoring dimension and insufficient fault recognition capability of a sensor in the prior art are effectively solved. And the equipment reliability and the operation safety are obviously improved.

The invention discloses an elevator operation fault early warning method and system, relates to the technical field of intelligent elevator control, and aims to improve the operation safety and fault response capability of an elevator in a potential abnormal state. By constructing a load critical drift test working condition, a sudden non-vertical stress test working condition and a weak power supply fluctuation interference test working condition, abnormal behaviors which are difficult to appear but have potential safety hazards in the normal operation process of an elevator are induced; the method comprises the following steps: acquiring operation data under various working conditions, respectively calculating a drift overload response coefficient, a guide rail non-vertical interference coefficient and a power supply induced instability coefficient, respectively comparing the coefficients with preset thresholds, and judging whether operation faults such as brake response mismatching, asynchronous action of safety tongs and door lock control interference exist or not; and if the judgment result is abnormal, a targeted strategy is automatically generated and early warning is given out. According to the method, active recognition and classified response of elevator faults can be achieved, and the maintenance efficiency and the operation reliability are effectively improved.

The utility model discloses a motor controller power supply framework and a new energy vehicle, and relates to the field of new energy vehicles, and the motor controller power supply framework comprises a plurality of power supply modules, a protection module, an upper bridge power supply circuit and a lower bridge power supply circuit. A plurality of redundant power supply modules are arranged, the upper bridge and the lower bridge of the driving circuit for driving the power modules are separated, and independent power supply of the upper bridge driving circuit and the lower bridge driving circuit is realized through the upper bridge power supply circuit and the lower bridge power supply circuit; the motor control module can still control the drive circuit to enter a safe state when a single-point failure condition exists in a power supply framework, so that the problem of overvoltage damage of a power module and a bus capacitor caused by power loss of a system is avoided, and the operation safety is improved.

The invention relates to the technical field of water conservancy projects, in particular to a construction scheduling method for collaborative linkage of cross-basin water conservancy projects, which comprises the following steps of: constructing a space-time water conservancy topological network to realize multi-source data fusion and spatial association and provide a basis for accurate scheduling; potential contradictions between construction and hydrological regulation and control are found in advance by recognizing conflict areas and performing quantitative analysis; a space-time safety window strategy set is formulated, the construction period is optimized in combination with risk prediction, and operation safety and efficiency are guaranteed; through task decomposition and collaborative factor allocation, an atomic operation unit and a dependency relationship are defined, and the cross-project linkage capability is improved; by generating a preliminary scheduling scheme, and through a resource-collaborative double-constraint graph and a genetic algorithm, efficient resource configuration and conflict minimization are realized; through dynamic risk monitoring and scheduling scheme reconstruction, hydrological abrupt change and construction deviation are quickly responded, cooperative factors are triggered for rebinding, and scheme adaptability and robustness are ensured.

The invention relates to the technical field of authority control, in particular to a Bluetooth-based operation and maintenance authority control system, which comprises a Bluetooth link identification module, a task risk assessment module, an authority adaptation decision module, a task path verification module and an execution consistency verification module. By acquiring the Bluetooth communication address and the channel number and combining the hopping frequency and the stability, the link security state identification is realized, the communication legality judgment precision is improved, the task risk is evaluated by introducing the equipment performance and the communication parameters, the bearing capacity judgment precision is improved, the permission level, the execution frequency and the historical success rate are combined, and the reliability of the system is improved. The permission matching state is dynamically verified, and the task success rate is optimized. Relay node addresses are compared with declaration path structure consistency, accurate and reliable paths are ensured, execution environments are verified according to device roles and instruction contents, instruction execution feasibility judgment is enhanced, all links are compared based on real-time data and structures, task whole-process closed-loop control is formed, and operation safety and decision accuracy are improved.

The invention relates to the technical field of steel ladle cleaning, in particular to an automatic rotary slag scraping device for efficiently removing slag in a steel ladle, which comprises a vehicle body serving as a carrier of the whole device, a slag scraping mechanism for cleaning steel ladles with different sizes is arranged on the vehicle body, and a pushing mechanism for guiding out the slag in the steel ladle is arranged on the vehicle body. The slag scraping mechanism comprises a first motor fixedly installed on the vehicle body, a transmission shaft is arranged at the output end of the first motor and sleeved with a transmission block, a connecting block is fixedly connected to the end of the transmission shaft, a plurality of transmission sleeves are hinged to the connecting block, scrapers are arranged on the transmission sleeves, and hydraulic telescopic rods used for adjusting the angles of the scrapers are hinged between the transmission block and the transmission sleeves. The connecting block is provided with an adjusting assembly for driving the scraper to make contact with the inner walls of the steel ladles of different sizes. Slag attached to the inner wall of the steel ladle can be automatically removed after molten steel is poured out of the steel ladle, the slag removing efficiency is improved, the labor intensity is reduced, clean use of the steel ladle is guaranteed, and operation safety is guaranteed.

The invention relates to the technical field of underground engineering, and discloses an automatic pipe jacking machine for pipe jacking construction, which comprises a main frame made of high-strength steel and capable of bearing thrust applied by the pipe jacking machine in the working process; the propelling module comprises a plurality of push rods, and the maximum thrust of the propelling module is 80 tons; the guide modules are arranged on the two sides of the main rack, each guide module is composed of a guide frame and a base, and the pipe jacking machine keeps linear motion in the construction process; the heading head is mounted in front of the propelling module and comprises a cutting tool and a spiral conveyor; the power module is arranged in the heading head, adopts a diesel engine, has the power of 150kW, and provides continuous power for the heading head; and the control module is arranged in the main rack and fixedly mounted on the side wall of the main rack. The reliability of the equipment is improved, and the intelligent monitoring and early warning system is additionally arranged, so that the equipment deviation or damage caused by geological sudden change can be effectively avoided, the construction risk is greatly reduced, and the operation safety and high efficiency are guaranteed.

Provided are a system and method for diagnosing operational safety of railcars in which one or more vibration sensors installed in each car of a train measure and analyze vibrations generated from the running car, running information including the travel location and travel speed of the car is added to vibration data and transmitted to a central control system, integrated running information is analyzed through pretrained artificial intelligence (AI) to estimate an abnormal part of the cars or railroad, and the AI is retrained through big data analysis.

The invention relates to a base station antenna mounting and adjusting device. The base station antenna installation adjusting device comprises a fixed installation assembly, a lifting mechanism, a deflection mechanism and an inclination angle mechanism. The lifting mechanism is arranged on the fixed mounting assembly and comprises a lifting mounting part and a lifting driving part, and the lifting driving part is used for driving the lifting mounting part to move in the lifting direction; the deflection mechanism is arranged on the lifting mounting part and comprises a deflection mounting part and a deflection driving part, and the deflection driving part is used for driving the deflection mounting part to rotate around a deflection axis; the inclination angle mechanism is arranged on the deflection mounting part, the inclination angle mechanism comprises an antenna mounting part and a pitching driving part, the antenna mounting part is used for rotatably mounting the base station antenna on the deflection mounting part, and the pitching driving part is used for driving the base station antenna to rotate. According to the base station antenna installation and adjustment device, automatic adjustment of the height, the azimuth angle and the inclination angle of the base station antenna is achieved, the installation and adjustment process is simple, the efficiency is high, and the operation safety risk is reduced.

The invention provides an aerial electric wire warning lamp hanging device based on an unmanned aerial vehicle, the aerial electric wire warning lamp hanging device comprises a fixed seat, a movable mechanism and an elastic piece, the movable mechanism is rotatably mounted on the fixed seat, and the elastic piece is connected with the fixed seat and the movable mechanism. Wherein the fixing seat is provided with two fork arms, a clamping jaw used for clamping an external cable is formed between the two fork arms, an avoiding groove is formed in the inner wall of the clamping jaw, and the fixing seat is provided with a rotating shaft and a connecting end. The movable mechanism comprises a rotating body arranged on the rotating shaft, and a special-shaped hole is formed in the rotating body; the rotating body is provided with a linkage rod, an extension arm and a clamping arm, the linkage rod is connected with the elastic piece, and the extension arm and the clamping arm can freely penetrate through the receding groove. During use, the movable mechanism has a waiting state and a clamping state. According to the hanging device for the high-altitude wire warning lamp, the warning lamp can be conveniently and quickly hung on an external cable, and the warning lamp is not easy to shake or slide after being hung, so that the working efficiency and the operation safety are improved.

The invention relates to a self-adaptive control method for a rain and snow mode of rail transit, electronic equipment and a medium, and the method comprises the steps: comprehensively studying and judging a rain condition based on multi-sensor data and numerical weather forecast data, and calculating a weather grade in the rain and snow mode, the multi-sensor data including video detection data, laser radar data and rainfall data; whether a rain and snow mode is set or not is judged according to the weather level, if yes, the current track slip degree is evaluated according to the multi-sensor data, and the GEBR value is adaptively updated based on the slip degree; the CC calculates the running safety braking envelope of the train by using the updated GEBR value, and feeds back a slip detection result and a dynamic parameter adjustment result in real time; and the ATS dynamically adjusts the operation plan of the train according to the slip detection result reported by the CC, and optimizes the operation scheduling of the whole train. Compared with the prior art, the method has the advantages that self-adaptive management of the rain and snow mode is achieved based on the dynamically-adjusted GEBR, and the running safety and reliability of the train in the rain and snow weather are effectively improved.

The invention discloses a security protection method for convergence and distribution equipment based on data intelligence, relates to the technical field of security protection of the convergence and distribution equipment, and solves the technical problem that in the prior art, multi-service execution security analysis cannot be carried out on the convergence and distribution equipment, so that the traffic control security is reduced, in particular to service security analysis. Safety analysis is performed on equipment operation services in the operation process of the convergence and distribution equipment, monitoring control is performed on the operation services of the convergence and distribution equipment, and safety analysis is performed on service execution according to service requirements, so that potential safety hazards existing in service execution are avoided, and the operation safety of the convergence and distribution equipment is reduced; and the security reduction of other security execution services is also influenced.

The invention relates to the technical field of pole-mounted circuit breakers, in particular to a pole-mounted circuit breaker with a protective cover, which comprises a circuit breaker body, the circuit breaker body is detachably connected with the protective cover, the top of the protective cover is provided with a through hole for a cable to pass through, and two opposite side walls of the protective cover are provided with access holes in a penetrating manner. The protective cover is movably provided with a door curtain used for shielding the access hole, the door curtain and the protective cover are both provided with locking structures, and the locking structures are used for locking the door curtain on the protective cover. The circuit breaker body is protected through the protective cover, the operation safety is remarkably improved, the service life of equipment is remarkably prolonged, and the movable door curtain is arranged so that an operator can conveniently overhaul the circuit breaker body.

The invention relates to the technical field of glass detection, in particular to a building glass flatness testing device and a testing method thereof.The building glass flatness testing device comprises a supporting frame, a lifting platform is arranged on the inner bottom face of the supporting frame and used for supporting glass to be tested on a testing station, and the building glass flatness testing device further comprises two oval plates, a supporting plate and a driving device, the supporting rods are symmetrically and fixedly connected to two ends of the supporting frame; the two dual-function limiting mechanisms are arranged on the opposite sides of the two elliptical plates respectively and are jointly used for clamping the two sides of the glass to be detected and supporting the bottom of the glass to be detected; through the design of an elliptical track, simultaneous detection of two surfaces of glass is realized, turn-over operation is avoided, efficiency is greatly improved, in addition, proper bottom support of the glass in the whole detection process is ensured through dynamic adjustment of the dual-function limiting mechanism, and the detection precision is improved. The problem that the clamping force is reduced due to material fatigue caused by long-time suspended clamping of the glass is solved, and the operation safety is remarkably improved.

The invention relates to the technical field of low-altitude aircraft chip safety monitoring, and discloses a low-altitude aircraft chip safety monitoring system which comprises a state acquisition module, a risk assessment module, an anomaly detection module, a strategy generation module, an instruction execution module, an effect verification module, a threshold setting module, a data output module, a feedback optimization module and a system regulation module. The state acquisition module analyzes the operation parameters and the environment interference to obtain a state value; the risk assessment module extracts and screens abnormal protection feature combinations; the anomaly detection module combines a sample variation matching feature with an evaluation combination; the strategy generation module maps a feature strategy based on real-time data and sets a rule; the instruction execution module captures feature data and analyzes a trend; the effect verification module adjusts rules according to errors; the threshold setting module determines a monitoring threshold interval; the data output module generates standardized data; the system realizes comprehensive monitoring of the chip state through cooperation of multiple modules, and the operation safety and stability are improved.

The utility model belongs to the technical field of carbon molecular sieve production equipment, and discloses a flower mud material crushing conveyor line which comprises crushing equipment, a bottom belt conveyor, an inclined lifting belt conveyor and a vibrating screen, a sunken main pit is formed in the workshop ground of a flower mud crushing station, the crushing equipment is installed in the main pit, and the inclined lifting belt conveyor is installed in the main pit. A feeding hopper of the crushing equipment is removed towards the outer side wall, and the bottom of the feeding hopper is connected through a horizontal steel plate, extends and is connected to the workshop ground in a lap joint mode. The bottom belt conveyor is horizontally connected below a discharge port of the crushing equipment, the bottom end of the inclined lifting belt conveyor is connected at the discharge end of the bottom belt conveyor, and the high end of the inclined lifting belt conveyor inputs crushed flower mud materials to a feed port of the vibrating screen. According to the flower mud material crushing conveying line, crushing equipment is installed in a pit mode, the feeding difficulty is lowered, and the operation safety is improved.