40 results about "Plant safety" patented technology

The invention relates to the technical field of data early warning, in particular to an intelligent power plant safety early warning method based on multi-data coupling. The method comprises the following steps: acquiring multi-source coupling data including power plant production operation data, key equipment state monitoring data, environment monitoring data and historical accident records, and calculating acquisition time intervals and synchronous delays between data sources; defining the ratio of the acquisition time interval to the topological distance between the corresponding nodes of the key equipment as a coupling propagation rate; constructing a time sequence-topology association window based on the coupling propagation rate, and judging the state type of the key equipment according to the time sequence-topology association window; a key equipment risk parameter is obtained by quantifying the state type; according to the method, key equipment risk parameter quantification and potential risk marking are realized through multi-source coupling data and time sequence-topology correlation analysis, so that dynamic grading early warning is supported, and the operation safety and early warning real-time performance of a power plant are improved.

The invention provides a multi-mode electronic fence forbidden zone intrusion identification method and system based on AI. The method comprises the following steps: firstly, acquiring synchronous multi-modal data acquired by a heterogeneous sensor network; secondly, according to the real-time production activity state, the type attribute and the real-time vehicle scheduling information, a differential perception focusing strategy is generated; performing weighted focusing fusion on the synchronous multi-modal data according to a differential sensing focusing strategy to generate dynamic intrusion sensing features; and then performing pattern analysis through an artificial intelligence model based on the dynamic intrusion sensing features, and finally identifying an intrusion behavior which accords with a preset factory safety regulation definition. According to the technical scheme provided by the invention, the identification precision of real threats in a complex industrial environment and the overall adaptability of the system are improved, and high-precision and self-adaptive intelligent identification of forbidden zone intrusion behaviors in the complex industrial environment is also realized.

The utility model relates to the technical field of thermal power plant safety protection, in particular to a safety protection device for a thermal power plant. The protective fence comprises a mounting base and a protective fence body. The number of the mounting seats is two, and the two mounting seats are arranged in parallel; the protective fence is installed between the two installation bases in a sliding mode. And a driving assembly for driving the protective fence to move along the mounting seat is arranged on the mounting seat. By arranging the movable protective fence and the guide rail structure, the protective fence can be conveniently driven to linearly move along the guide rail under the action of the driving assembly, the distance between internal equipment and the protective fence can be further conveniently adjusted, a worker can conveniently overhaul and maintain the equipment through the space, and the working efficiency is improved.

The invention discloses a power plant safety intelligent early warning method based on a dynamic electronic fence, and the method comprises the steps: firstly analyzing the historical work ticket data of a power plant through a BERT-BiLSTM-CRF hybrid model, and recognizing an equipment entity, an operation type and a risk level; in combination with space coordinates of a power plant equipment three-dimensional model, an initial virtual safety boundary is automatically divided according to work ticket operation content, operation personnel operation actions, multi-person position relations and equipment states are fused in real time, and a buffer distance is dynamically adjusted to form a dynamic electronic fence; based on a dynamic electronic fence and high-precision positioning data, a group operation anti-collision model and a safe path planning strategy are established, a graded early warning mechanism is constructed, and corresponding grade early warning is triggered according to the real-time distance between an operator and the electronic fence through linkage of an intelligent wearable device and a power plant monitoring system. According to the invention, the intelligence and refinement level of power plant safety management can be significantly improved, and the occurrence rate of operation safety accidents is effectively reduced.

The invention relates to a ship production workshop safety monitoring device and method and computer equipment. According to the application, the video stream, the sound data and the environmental parameters are acquired through the multi-mode monitoring terminal, and the procedure exclusive behavior recognition module performs special illegal behavior recognition, so that precise monitoring of procedures such as welding, coating, hoisting and the like is realized, and the recognition accuracy of the special illegal behaviors is improved. When a suspected illegal behavior is detected, the system automatically triggers the authority face recognition camera to carry out secondary verification of the identity and the operation authority of the person, so that closed-loop control of behavior recognition-identity verification-authority verification is realized, and the safety risk caused by operation of an unauthorized person is effectively avoided. The industrial-grade super computer carries out centralized processing on identification results and sends violation information to the grading early warning module, and the grading early warning module carries out three-stage grading early warning and corresponding processing measures according to violation risk grades, so that automation and timeliness of a response mechanism are realized, and safety management is promoted.

The utility model provides a water spraying system for fire extinguishing in a power plant, which belongs to the technical field of power plant safety and comprises a water conveying pipeline, a fire-fighting water pipeline and a fire-fighting pool. The water inlet end of the fire-fighting water pipeline is communicated with a fire-fighting pool arranged underground through an underground pipeline; the water inlet end of the water conveying pipeline is communicated with a fire-fighting water pipeline, the fire-fighting water pipeline is used for providing fire extinguishing water for the water conveying pipeline, and the water outlet end of the water conveying pipeline is communicated with a spray head. According to the utility model, the fire extinguishing water delivery pipeline is communicated with the fire-fighting water pipeline, and the fire-fighting water pipeline is used for taking water from the underground fire-fighting water pool, so that the problem that the water delivery header pipe is frozen due to lower outdoor temperature is effectively avoided, and the fire extinguishing system can quickly respond and effectively deliver water even in a low-temperature environment; therefore, a fire source is extinguished in time, and economic loss and casualties possibly caused by the fire are greatly reduced.

Strengthen safety management for workers. [Solution] A mobile body equipped with an imaging device, a control device, and a notification device, wherein the control device includes a movement control unit that controls the body to move within the factory based on a patrol route for patrolling the work area within the factory, a detection unit that processes motion image data captured by the imaging device after the start of the patrol to detect events that increase the risk of occupational accidents for workers, and a notification instruction unit that, when an event that increases the risk of occupational accidents for workers is detected, provides notification via the notification device to encourage the reduction of the risk of occupational accidents.

The utility model relates to the technical field of power plant safety protection, disclose a kind of power plant production safety management protection device, including base, the bottom four corners of base are uniformly provided with universal wheel, the top of base is provided with foldable fence, the front side of foldable fence is installed with warning sign, the left and right sides of foldable fence are provided with main vertical rod, and the inside of main vertical rod is provided with extension assembly, and the extension assembly includes control rod, the outside of control rod is equipped with pressurized spring, and the middle part of control rod is fixedly connected with limit plate. In the utility model, through foldable fence, and install warning sign at front end, cooperate with the infrared sensor of base front side and the loudspeaker in control box, can effectively prompt the pedestrian close to construction area. Meanwhile, extension assembly is arranged in the main vertical rod of fence two sides, can flexibly adjust protection range according to need, ensure the safety and isolation effect of work area.

The application discloses a power plant safety intelligent monitoring device based on the Internet of Things, which comprises annular guide vane shaft connecting plates and wheel shaft connecting plates, the guide vane shaft connecting plates can be connected to each guide vane shaft of an impeller machine, the wheel shaft connecting plates can be sleeved in the wheel shaft of the impeller machine, and three inclined deformation sensors are uniformly distributed between the guide vane shaft connecting plates and the wheel shaft connecting plates in a circumferential direction. Compared with the prior art, the application can meet the monitoring requirement, reduce the manufacturing and maintenance costs of the device, and provides an efficient and economical safety monitoring solution for a power plant.

The invention discloses a power plant safety monitoring system based on STC space-time coding. The power plant safety monitoring system comprises a sensor data acquisition module, an STC space-time coding module, a data analysis module, an alarm generation module, a user interface module, a communication module, a storage module and a control module. By introducing the STC space-time coding technology, the performance of the power plant safety monitoring system is remarkably improved, the system can efficiently code and process space-time data, reduce misinformation and missed information and achieve more accurate threat detection and real-time response, meanwhile, data storage and transmission are optimized, the system load is reduced, the overall reliability and efficiency are improved, and the power plant safety monitoring system is suitable for popularization and application. And the system can be easily integrated into the existing infrastructure, so that the safety management level of the power plant is enhanced, and self-adaptive adjustment is supported to adapt to different operation conditions.

This invention discloses a safe hoisting system for factory buildings, belonging to the field of construction technology. The system includes baffles at both ends of a crossbeam. The crane comprises a body with a recessed groove on its top surface. Drive wheels are rotatably mounted on both sides of the groove. Drive protrusions are located on the support surfaces on both sides of the crossbeam, positioned along the movement lines of the drive wheels. When the crane moves to the end of the crossbeam, the drive wheels contact the drive protrusions. Slots are opened at both ends of the body, each containing an airbag. Air cylinders are fixedly connected to the ends of the airbags. A rotating wheel is coaxially mounted at the ends of the two air cylinders at both ends of the body. Threaded posts are coaxially mounted on both sides of the rotating wheel, with threaded sealing plates connected to the posts. The sealing plates are movable within the air cylinders. The drive wheels drive the rotating wheels to rotate. The airbag-type buffer ensures a soft impact and minimal rebound distance at the edge of the crossbeam. Furthermore, with the presence of an anti-collision structure, the crane's overall structure can be retracted, improving its tightness.

This invention discloses an artificial intelligence-based safety monitoring method and system for thermal power plants, comprising: firstly, responding to a thermal power plant safety monitoring start command, acquiring current boiler parameters at preset time intervals; then, calling a pre-trained boiler status assessment model to determine whether the current boiler parameters are in a boiler warning state; and finally, when the current boiler parameters are in a boiler warning state, acquiring and executing a target warning resolution strategy for the current boiler parameters. This design, compared to the prior art's process of reporting first and then processing, can improve the efficiency of safety monitoring and processing for thermal power plants.

The invention provides a multi-source target inspection method for inter-plant safety. According to the method, an unmanned aerial vehicle carries high-definition camera shooting to carry out target identification, and the target is transmitted to a ground station cloud platform to carry out component defect diagnosis, so that the problems of high labor intensity, low efficiency and easiness in being influenced by the environment in a traditional inspection mode are solved, and the problems of error detection and missing detection caused by inspection personnel through pictures on a remote controller are solved; and unmanned aerial vehicle inspection can enter a high-risk area, so that personnel are prevented from directly contacting a dangerous environment, and the working safety is remarkably improved.

The invention relates to a deep learning-based factory safety device identification method. The method comprises the following steps of S1, acquiring a to-be-identified image in a factory environment through image acquisition equipment; s2, inputting the to-be-recognized image into a pre-trained target detection model; wherein the target detection model is a neural network model which is based on a YOLOv8 architecture and introduces an attention optimization mechanism, and is used for identifying the category and the position of a safety device in the image; and S3, receiving and outputting a safety device identification result returned by the target detection model. The method has the advantages that the safety equipment can be detected and recognized in real time in a factory through a deep learning algorithm and in combination with a factory management department, it is ensured that a worker wears necessary safety equipment and whether the equipment is correctly placed or not, potential safety hazards are reduced, and the overall safety level of the factory is improved.

The invention belongs to the technical field of power plant safety monitoring, and discloses a power plant safety monitoring system based on artificial intelligence. Comprising the following modules: a data acquisition module used for acquiring environment data and equipment data of all monitoring areas in a power plant in real time; according to the invention, through setting the fire occurrence remaining time prediction model and the support score, the fire prediction is promoted from simple probability evaluation to accurate time prediction, and the time interval from the current moment to the fire in the unit area is accurately predicted. The prediction of the time dimension enables the implementation of prevention and control measures to be more targeted, on this basis, a support score is established, state parameters such as the battery electric quantity, the fire extinguishing agent remaining amount, the historical reliability and the arrival time of the robot are comprehensively considered, the optimal scheduling of the fire extinguishing robot is realized, and the intelligent scheduling method improves the utilization rate of the robot and reduces the labor intensity of the robot. And meanwhile, prevention and control deployment is completed before a fire disaster occurs.

The invention relates to the technical field of wastewater treatment, and particularly discloses a wastewater treatment plant safety protection system which comprises a smoke exhaust mechanism, and a fire extinguishing mechanism is arranged on the surface of the smoke exhaust mechanism; a detection mechanism is further arranged on the front face of the smoke exhaust mechanism. Through the smoke exhaust mechanism, when the concentration of harmful gas in a plant exceeds the standard or smoke is generated in a fire disaster, a shaft rod can drive a main exhaust blade to rotate through driving of a motor, an upward air supply effect can be generated, and smoke in the plant can be sucked and exhausted into an outdoor smoke pipe through air inlet nozzles inside and outside an indoor smoke pipe; and finally, smoke is discharged outdoors through smoke exhaust holes in the smoke exhaust head, dust screen structures are installed on the air inlet part at the lower end in the indoor smoke pipe and the interior of the air inlet nozzle, and batting and dust can be prevented from entering the indoor smoke pipe to be gathered.

The utility model belongs to the technical field of back flushing systems of filter presses, and particularly relates to a pressure relief device of a back flushing system of a program-controlled filter press, which comprises a third chute, a first chute is arranged on the left rear side of the upper portion of the third chute, and a second chute is arranged on the upper portion of the third chute and located on the right side of the first chute. An air outlet and a liquid outlet pipeline are arranged in the first chute, and adjusting mechanisms are arranged on the air outlet and the liquid outlet pipeline. According to the scheme, the air outlet pipeline, the liquid outlet pipeline and the connecting pipeline are connected in series, and the end openings of the air outlet pipeline and the liquid outlet pipeline are adjustably shielded by using the baffles, so that reverse blowing solution and airflow pressure entering the chute are reduced, and the problem that the solution is splashed and scattered in a plant and pollutes the factory environment is solved; the factory safety production standardization dynamic standard reaching is improved, the safety risk of follow-up operating personnel is reduced, and the workload of the operating personnel for cleaning a working site is reduced.

The utility model belongs to the technical field of monitoring and early warning, and particularly relates to an industrial factory building safety intelligent connection panoramic monitoring and early warning device which comprises an MCU microcontroller, an infrared temperature sensor, a signal processing module and an alarm module. The infrared temperature sensor is connected with the MCU microcontroller through the signal processing module; the microcontroller is connected with the alarm module; the signal processing module comprises a signal amplifying circuit and a signal filtering circuit; the signal amplification circuit comprises a signal amplification chip; the slide rheostat is connected between the-Rg pin and the + Rg pin of the signal amplification chip, so that the amplification factor of the signal amplification circuit can be changed by adjusting the resistance value of the slide rheostat, the detection sensitivity is improved, detection and amplification of small voltage are facilitated, and when a fire disaster is in the bud, the fire disaster can be prevented from being damaged. Therefore, the fire hazard can be predicted as early as possible.

The application discloses a kind of fire power plant fine treatment centralized control auxiliary early warning system of fire power plant safety protection technical field, including bottom plate, the upper surface of the bottom plate both sides is equipped with slide rail, its structure is reasonable, the auxiliary early warning component is installed on the moving platform by being equipped with moving platform and auxiliary early warning component, and moving platform is collocated motor A, so that motor A drives control gear rotation, to reach the automatic movement processing of moving platform between cabinet, by auxiliary early warning component taking camera, smoke sensor and temperature sensor, so that camera carries out routine data monitoring and inspection to the cabinet on both sides, during smoke sensor and temperature sensor detect whether temperature in cabinet is excessive and there is smoke phenomenon, if there is generation, alarm can be used to alarm and remind processing, to avoid the situation that fire power plant fine treatment centralized control equipment early warning is not timely as far as possible.

The application belongs to the technical field of unbalanced classification, and discloses an improved LightGBM unbalanced classification method for factory area safety early warning.The overall method has high performance, low cost, flexibility, easy deployment and other advantages, and is very suitable for unbalanced image classification tasks in industrial scenes.Especially in the high-demand application scene of factory safety monitoring, the model can not only ensure high classification accuracy, but also balance resource consumption, so that the method can also perform outstanding performance in the actual environment with limited computing resources.Compared with the traditional method, the application can complete efficient classification of complex data under lower computing overhead, ensure the stability and accuracy of the factory area safety early warning system, and still maintain high classification accuracy and reliability in the case of unbalanced data and many noise points.

The utility model discloses an industrial plant safety energy -conserving mixed ventilation device belongs to plant ventilation device field, including ventilation pipeline main part, the lower extreme fixed mounting of ventilation pipeline main part has rotary base, the rotary base is fixedly installed on the plant, the lower extreme fixed mounting of rotary base has the fan guard shield, the fan guard shield is fixedly installed and has the ventilation fan, the output shaft fixed mounting of ventilation fan has the ventilation vane, through the main body ventilation structure that ventilation pipeline main part, rotary base, fan guard shield, ventilation fan, ventilation vane constitute, collocation closed assembly and adjusting assembly, can accurate control ventilation start -stop, ventilation volume size and ventilation direction, and closed assembly can adjust the opening -closing angle of multiple sets of second pivot flexibly, as needed control airflow enters, and adjusting assembly can realize the steering adjustment of ventilation pipeline main part relative rotary base, can be in the natural ventilation situation according to the wind direction flow and carry out the sleeve joint.

The invention relates to the technical field of coal mine auxiliary conveying equipment, in particular to safety auxiliary coal conveying equipment for a coal mine plant. According to the technical scheme, the safety auxiliary coal conveying equipment for the coal mine plant comprises a coal conveying equipment body, an isolation assembly, a height limiting assembly, a mounting support, a conveying belt, anti-skid patterns, an automatic rotary table, a visual detection probe, a belt driver and a collecting assembly, the isolation assembly is arranged on the top face of the coal conveying equipment body, and the height limiting assembly is arranged on the inner side of the isolation assembly; mounting supports are arranged on the two sides of the surface of the coal conveying equipment body, and conveying belts are arranged on the inner sides of the mounting supports. The coal mine conveying environment is effectively isolated through the dust collection cabin, dust is prevented from flying outwards, the separated dust collection head and the dust collection purification bin work cooperatively, dust in the cabin is sucked and purified, dust flying is remarkably reduced, the working environment is improved, the health of operators is protected, meanwhile, the influence of dust on the equipment performance is reduced, and the service life of the equipment is prolonged. And the service life of the equipment is prolonged.

The utility model discloses a plant safety prompt alarm device convenient to install, which comprises an installation seat and a connection seat, the connection seat comprises a sliding rail, a plurality of installation sliding blocks and a connection convex block, the installation sliding blocks are connected to the bottom of the sliding rail at the bottom of the connection seat in a sliding mode, and the connection convex block is connected with the installation sliding blocks. According to the utility model, the clamping convex block and the mounting groove which correspond to each other are arranged, the connecting convex block is inserted into the mounting groove at the bottom of the mounting seat through the clamping convex block, the connecting convex block is rotated to drive the clamping convex block to rotate to the position above the accommodating clamping groove, and the clamping convex block is driven to descend to be clamped into the accommodating clamping groove under the action of gravity; the fixing device is rapidly installed, the fastening rotating block is rotated to drive the fastening rotating block to rise outside the connecting protruding block to abut against the bottom of the installation base, the connecting protruding block is prevented from moving, the top clamping protruding block is made to retreat from the containing clamping groove, and the stability of rapid installation is improved.

The invention discloses a power plant safety inspection robot, and relates to the technical field of power plant safety, and the power plant safety inspection robot comprises an unmanned travelling vehicle, and a control box and a control system arranged on the unmanned travelling vehicle; the fixed end of the horizontal rotating assembly is arranged on the unmanned traveling vehicle; and the fixed end of the vertical rotating assembly is connected with the rotating end of the horizontal rotating assembly. The beneficial effects are that through cooperation of the horizontal rotation assembly and the vertical rotation assembly, omnidirectional dead-corner-free rotation of the monitoring equipment is realized, and the comprehensiveness and accuracy of routing inspection are greatly improved; through innovative combination of the lifting assembly and the linear assembly, self-adaptive adjustment of the monitoring height is achieved, and the environmental adaptability of the robot is enhanced; by integrating the automatic dust-shielding cleaning assembly, the camera lens can be automatically cleaned after inspection is finished, physical protection is provided in a non-working state, and the definition of a monitoring picture and the service life of equipment are effectively guaranteed.

The application discloses a power plant safety knowledge question and answer method and system based on a large language model, which comprises the following steps: receiving a power plant safety-related question request input by a user, calling a corresponding knowledge source according to the type of the question, wherein a vector library knowledge fragment is searched for a rule query type question, a vector library and a knowledge graph subgraph are jointly searched for an accident disposal type question, and a vector library and real-time operation and maintenance data are fused for an equipment operation and maintenance type question; inputting the question and the searched knowledge into a fine-tuned power plant field large language model to generate a reply, and outputting the reply after verifying the accuracy of the reply through a field rule library, so that the accuracy and timeliness of safety knowledge service can be improved.

The invention relates to an intelligent risk operation supervision method and system based on the Internet of Things, and the method comprises the steps: obtaining the work ticket information of a power plant safety platform, and binding an RFID positioning tag to a work card and a worker in charge; associating the work card, the person in charge of work, the mobile camera and the mobile sound box to the current work ticket; the RFID positioning position is scanned in real time, the work ticket information is identified, and the working state of a worker in charge is dynamically displayed in a two-dimensional plane graph; monitoring the position association state of the worker in charge and the work card in real time, and if the separation exceeds a preset time, triggering a departure alarm; detecting violation operation of a worker in charge, and if violation occurs, triggering violation alarm; and after the risk operation is finished, closing the work ticket, and removing the association binding among all the labels. Compared with the prior art, the probability that hidden dangers such as personnel departure and illegal operation in risk operation are converted into accidents is effectively reduced, and the operation safety is remarkably improved.

The invention discloses a thermal power plant high-risk area personnel management and control device combining 5G and machine vision, and belongs to the technical field of thermal power plant safety management and control. The thermal power plant high-risk area personnel management and control device comprises an angle rotating mechanism, a walking mechanism is assembled at the top end of the angle rotating mechanism, and a fixing mechanism is assembled in the middle of the walking mechanism; the bottom frame is assembled at the top ends of the walking mechanism and the fixing mechanism, the walking driving mechanism is assembled between the bottom frame and the walking mechanism, the fixing driving mechanism is assembled between the bottom frame and the fixing mechanism, the two supporting columns are symmetrically and fixedly connected to the top end of the bottom frame, and the middle frame is fixedly connected to the top ends of the two supporting columns. The driving time of each driving structure is preset according to the position of the maintenance equipment in the high-risk area of the thermal power plant, the maintenance personnel only need to input the maintenance equipment to automatically control each driving structure to drive and accurately reach the position of the maintenance equipment, the maintenance movement of the maintenance personnel can be accurately controlled, the danger caused by irrelevant operation is avoided, and the maintenance efficiency is improved. And the safety is improved.

The invention discloses a power plant safety production management system, and belongs to the technical field of power plant management. The system comprises a data acquisition layer, a data transmission layer, a data processing layer, a business application layer and a user interaction layer which are connected in sequence, and all the layers cooperate to realize safety production whole-process management; the data acquisition layer acquires hidden danger data through multiple types of sensors, intelligent instruments and the like; the data transmission layer ensures safe transmission of data; the business application layer provides the functions of equipment full-life-cycle management, real-time safety monitoring, personnel management, emergency processing and custom report statistics; integration and deep application of power plant safety production data are achieved, management efficiency and safety are effectively improved, accident loss is reduced, and the method is suitable for safety production management of power plants of various scales.