1024results about How to "Guarantee continuous and stable operation" patented technology

The invention relates to the technical field of monitoring or controlling a charging station, in particular to a charging pile safety monitoring method and system, and the method comprises the following steps: step 1, monitoring: step 1.1, electric leakage monitoring: installing a high-sensitivity electric leakage sensor in a charging pile and a charging gun line, continuously monitoring the electric leakage current in real time, and monitoring the electric leakage current in real time; the monitoring frequency is that data are collected once every 10 milliseconds; step 1.2, overload and short circuit monitoring: real-time current change of a charging circuit is monitored by using a current transformer, and the acquisition frequency is once every 5 milliseconds; step 1.3, monitoring the temperature; according to the scheme, through monitoring of electric leakage, overload and short circuit, temperature, smog and flame, charging gun safety, vision and the like in combination with intelligent analysis, the operation state and the surrounding environment condition of the charging pile can be comprehensively, timely and accurately mastered, electrical faults, temperature anomalies and potential safety hazards can be rapidly detected and judged, and the safety and reliability of the charging pile are improved. And all-around real-time monitoring of the potential safety hazard of the charging pile is realized.

The invention discloses an anomaly detection and repair method for non-Gaussian multi-mode sensor data, and belongs to the technical field of unmanned system multi-source autonomous navigation. The method solves the problems that an existing method is poor in performance when facing non-Gaussian data, anomaly detection is difficult to carry out on high-dimensional unstructured data, the robustness of a static anomaly detection model is insufficient, and redundancy compensation is lacked when abnormal data of a sensor is repaired. The method specifically comprises the following steps: step 1, acquiring IMU, GNSS, point cloud and image data of an unmanned system, and then carrying out preprocessing and time synchronization on the acquired data; step 2, respectively extracting features of IMU, GNSS, point cloud and image data at each acquisition moment after time synchronization; step 3, fusing the data features at each acquisition moment; and 4, performing anomaly detection on the data at each acquisition moment according to a fusion result, and further performing data restoration if the data is detected to be abnormal. The method can be applied to data anomaly detection and repair.

The invention discloses a multi-warehouse intelligent distribution and scheduling method for raw material inventory. The method comprises the following steps: collecting raw material inventory data of each warehouse, and monitoring the inventory data of the warehouses in real time; based on the real-time inventory data and the historical inventory data, the inventory state of each warehouse is analyzed to determine the inventory balance state of each warehouse, and the warehouses with excess or short inventory are identified; and calculating an optimal inventory distribution scheme by adopting a dynamic adjustment algorithm based on an inventory state analysis result. According to the invention, by collecting the real-time inventory data and the historical inventory data, the inventory state of each warehouse is deeply analyzed, the inventory balance state is determined, and the warehouse with excess or short inventory is identified. Through the real-time data monitoring and analysis, the system can provide accurate inventory early warning, help managers to take measures in time, avoid production interruption and resource waste, and improve the accuracy and predictability of inventory management.

The invention discloses a mangrove forest disease and insect pest remote monitoring and intelligent prevention and control system based on the Internet of Things. A plurality of modules such as an Internet of Things sensor network, an unmanned aerial vehicle inspection system, a high-definition monitoring camera network, intelligent prevention and control equipment and a software platform are integrated; the Internet of Things sensor network monitors environmental parameters and pest and disease damage signs in real time, the unmanned aerial vehicle inspection system provides aerial inspection support, and the high-definition monitoring camera network realizes 24-hour uninterrupted monitoring on the ground; the software platform is responsible for data acquisition, transmission, analysis and early warning release, and provides a remote control interface for management personnel to perform accurate prevention and control; the intelligent prevention and control equipment automatically or remotely executes prevention and control tasks according to the monitoring data and the early warning information; the system also has additional functions of energy management, network communication, user authority management and the like, and continuous and stable operation and data security of the system are ensured. The implementation of the system can effectively improve the intelligent level of mangrove forest pest control, and provides powerful support for protecting a mangrove forest ecological system.

The invention relates to the technical field of lighting, in particular to a driving power supply control circuit, a control method and a lighting application method. Comprising the steps that an acquisition module acquires spectral data and temperature data of a current environment; the receiving module receives the target color rendering index, the target color temperature and the target illumination; the control module is connected with the acquisition module and the receiving module, and is used for calculating a PWM duty ratio needing to be compensated according to the temperature data, obtaining a target PWM duty ratio based on the current color rendering index Ra, the current correlated color temperature CCT, the current illumination and the control parameters, and outputting a PWM signal based on the target PWM duty ratio and the PWM duty ratio needing to be compensated; and independent and stable constant-current signals are finally output by using the voltage balancing circuit and the driving module. The problems that an existing LED driving power source is single in function and lacks self-adaptive control capacity and monochromatic light trailing are solved. The LED powder-free lamp can continuously and stably operate, and meanwhile, high color rendering index and dynamic light color balance are achieved.

The invention relates to the technical field of lithium iron phosphate grinding, in particular to a grinding device for lithium iron phosphate production and a grinding method.The device comprises a tank body, a driving assembly and a first grinding assembly, a tank cover is installed at the top of the tank body, the driving assembly comprises a driving motor installed at the top of the tank cover, and a rotating shaft is fixedly arranged on an output shaft of the driving motor; the rotating shaft vertically extends into the tank body, the first grinding assembly is installed on the rotating shaft and comprises a first grinding seat, the first grinding seat is rotationally connected to the rotating shaft in a sleeving mode, the peripheral wall of the first grinding seat is fixedly arranged on the inner wall of the tank body, a conical groove is formed in the top face of the first grinding seat, and the rotating shaft is fixedly sleeved with a conical block; and a scraper is fixedly arranged on the peripheral wall of the conical block through a connecting block. According to the invention, the control capability on the granularity of the lithium iron phosphate material is improved, the uniform distribution of the granularity of the material is ensured, the problem of excessive grinding or insufficient grinding is avoided, the risk of material caking caused by the grinding wheel in the grinding process is reduced, and the grinding efficiency is improved.

The invention relates to the field of machine room temperature control, in particular to an efficient machine room approaching temperature control method, and the method comprises the steps: combining historical data prediction with real-time sensor data, and adaptively adjusting the state of a refrigeration system; the cabinet layout and the airflow path are dynamically optimized by using a thermal imaging technology; the air flow design is optimized through computational fluid dynamics, and an air door and a fan are intelligently controlled; heat recovery and renewable energy utilization are implemented, and the energy efficiency is improved; establishing a multi-stage redundant refrigeration system, and predicting and preventing faults; remote monitoring and automatic operation and maintenance are achieved by means of the Internet of Things and AI, accurate control over the temperature of the machine room is ensured, energy consumption is reduced, and operation and maintenance efficiency is improved.

The invention discloses a business process optimization method and system, relates to the technical field of computers, and provides a preventive business process optimization method which can identify and solve potential problems in advance so as to ensure stable operation of a preset business process. According to the main technical scheme, the method comprises the steps of obtaining a preset business process, wherein the preset business process comprises business nodes, a logic operation sequence between the business nodes and monitoring index information corresponding to the business nodes; executing a preset business process according to the logic operation sequence among the business nodes by utilizing a process execution engine, and outputting a monitoring index value corresponding to the monitoring index information in the execution process of the preset business process; judging whether each service node in the preset service process has a fault risk or not by using the monitoring index value; and if yes, adjusting each service node according to a preset adjustment method to generate an optimized service process. The method is used for optimizing the preset business process.

The invention relates to the technical field of wireless sensor networks, and discloses an automatic maintenance method for wireless sensor network nodes in a mine laneway, which comprises the following steps: S1, network topology structure design: establishing a wireless sensor network consisting of sensing nodes, relay nodes and gateway nodes, the sensing nodes being distributed in the mine laneway, the relay nodes being distributed in the mine laneway, and the gateway nodes being distributed in the mine laneway; the data acquisition node is used for acquiring environment data, the relay node is used for multi-hop transmission of the data, and the gateway node is used for communicating with a ground monitoring system; s2, a fault detection mechanism: integrating a fault detection module in each node; s3, a self-repairing mechanism: when the node detects a fault, automatically triggering the self-repairing mechanism; s4, performing fault early warning and reporting; and S5, energy consumption management and optimization: the system integrates an energy consumption management module in the node. Through the integrated fault detection module and the self-repairing mechanism, the system can automatically identify and try to repair the fault when the fault occurs, so that the downtime of the system is reduced, and the continuous and stable operation of the network is ensured.

The invention discloses an intelligent power conversion cabinet control system and a power conversion cabinet, and relates to the technical field of power conversion cabinet control, and the system comprises a user interaction module, a touch screen and voice recognition convenient operation, and multilingual interaction; the battery management module is used for accurately monitoring parameters, quickly early warning abnormity and intelligently regulating and controlling charging and discharging; the battery replacement control module is high in identity verification speed and stable, accurate and fast in battery replacement operation; the data storage and analysis module is used for mass data storage and deep mining; the communication module is used for realizing dual-mode stable transmission and encrypted cache; the cabinet body comprises a plurality of battery cabins, the protection is comprehensive, the heat dissipation is intelligent, the modular design is beneficial to expansion, and the high-speed bus is strongly connected. The system is convenient in interaction and efficient in battery replacement. The battery management is accurate, the service life is prolonged, the data-driven operation is optimized, the communication is safe and stable, the remote monitoring is convenient, the cabinet body design is reasonable, the protection and heat dissipation are good, the modularization is flexible, the battery replacement service experience and operation benefits are powerfully improved, and the development of the intelligent battery replacement field is promoted.

The invention relates to the technical field of new energy storage, and discloses a liquid leakage detection and collection method for a galvanic pile of a flow battery energy storage system, which comprises the following steps of: arranging a humidity sensor, a gas sensor, a temperature sensor, a visual sensor and a pressure sensor in a key area of the galvanic pile to form a high-density detection network of multi-source data; sensor data are collected and transmitted to a control center in real time, multi-source data are fused through Kalman filtering, Bayesian estimation and a deep learning model, and feature information of liquid leakage is obtained; and based on feature information of multi-source data fusion, a multi-point interpolation method and three-dimensional space modeling are used to realize positioning of a liquid leakage area. The intelligent grading response and control technical scheme is adopted, and factors such as leakage diffusion and environmental conditions are dynamically analyzed, so that grading self-adaptive response of operations such as isolation, cooling, load shedding and shutdown is realized, and compared with the scheme that only single isolation or shutdown is adopted to cope with a leakage event in the prior art.

The invention discloses a material conveying equipment management and control method and system for workpiece logistics conveying, and belongs to the field of equipment management and control. The material conveying equipment management and control method comprises the following steps: collecting data of material attributes and environmental parameters; calculating an optimal material conveying path by using a hybrid optimization algorithm in combination with a production environment and material characteristics; using a material demand prediction model to predict the material demand and time in the future preset time based on the optimal material conveying path; in the material conveying process, the quality of the materials is monitored in real time; the predictive maintenance model is used for analyzing the speed and the frequency of the material conveying equipment, and fault occurrence is predicted through real-time monitoring and analysis of equipment operation data. Through real-time monitoring and analysis of equipment operation data, the predictive maintenance model can recognize possible faults in advance, so that a maintenance team can take preventive measures before the faults occur.

The invention discloses a computer monitoring system applied to a water conservancy project, and particularly relates to the technical field of computer monitoring. By monitoring the running state of water level sensor equipment, collecting sensor output data and combining a time sequence analysis method, the overall performance stability of a sensor and the consistency of current water level data and historical data are evaluated; through a fault diagnosis algorithm and an early warning rule, sensor faults can be identified and processed in time, adverse effects of the faults on a water conservancy project are reduced, a standby sensor switching module is designed, automatic switching to a standby sensor and starting can be realized, continuity and stability of a monitoring system are ensured, and reliability of the monitoring system is improved. It can be guaranteed that the monitoring system can continuously and stably operate under various environments and working conditions, and therefore safe operation and management of the water conservancy project are guaranteed.

The invention discloses an efficient light guide mounting bracket matched with a solar photovoltaic panel, which comprises an equipment base, a photovoltaic panel, a Fresnel lens, a magnetic field generator and a temperature difference generator, and is characterized in that the equipment base is fixedly connected with a rotating mechanism, and the rotating mechanism is movably connected with an inclination mechanism for adjusting the angle of the photovoltaic panel; a supporting mechanism is movably connected to the upper portion of the rotating mechanism and comprises a fixing support movably connected to the rotating mechanism. Through the wind-resistant mechanism, self-adaption to different wind power environments is achieved, the magnetic field intensity of the magnetic field generator is regulated and controlled, the magnetorheological fluid increases resistance to limit shaking under strong wind and reduces resistance to guarantee flexible rotation in breeze, meanwhile, a Faraday cage formed by the magnetorheological fluid shields electromagnetic interference, a photovoltaic panel is protected against wind power damage, stability of an electrical system is guaranteed, and the service life of the photovoltaic panel is prolonged. And the equipment fault risk is reduced, the service life is prolonged, and the solar photovoltaic power generation system is ensured to continuously and stably operate in a complex outdoor environment.

The invention relates to the technical field of storage systems, in particular to a communication board card and a storage system. The invention provides a communication board card which is applied to a storage system and comprises at least one controller connecting slot position and at least one communication network port. Wherein each controller in the storage machine head of the storage system is mounted to the communication board card through each controller connecting slot, and is in communication connection with the storage disk cabinet of the storage system based on each communication network port in the communication board card. Therefore, an independent network card does not need to be configured for each controller, so that the cost can be reduced, and the communication between each controller and the storage disk cabinet of the storage system is not influenced.

The invention relates to the technical field of network security analysis, in particular to a big data network signal security early warning system. The system comprises a network signal big data stream transmission module, a network signal ratio difference detection module, a network signal division result safety early warning module and a network signal abnormity safety response module. Data acquisition equipment can be deployed at an entrance and an exit of each network equipment, and network signal data real-time acquisition and big data stream type transmission conversion can be carried out, so that a network signal big data stream can be obtained; carrying out time sequence flow size and access frequency statistical analysis on the network signal big data flow, and carrying out network signal ratio difference detection division and abnormal safety early warning processing at the same time to generate a network signal abnormal safety early warning signal; and uploading the network signal abnormity safety early warning signal to a cloud platform to carry out abnormity safety response processing so as to generate a network signal abnormity safety response protection strategy. According to the invention, network signal abnormity can be efficiently monitored in real time and early warning can be provided.

The invention discloses an operation attitude control method and system for a heavy-load robot and a storage medium, and relates to the technical field of robot control, a collection feature set E is constructed in real time, and load distribution information and a gravity center offset G obtained by a monitoring system in the robot are combined to obtain a control feature set E; and the operation posture and the load condition of the robot in a complex environment are effectively evaluated. The robot can accurately adjust the advancing posture and dynamically generate a control command by executing the vector W, and real-time control and correction are achieved. By continuously tracking and counting the variable quantity Z of the gravity center position of the robot, adjustment and early warning are triggered in time, the stability and safety of the robot in complex tasks are further improved, and compared with a traditional method, the method can respond to dynamic factors such as ground fluctuation and load change in real time, and the real-time performance of the robot is improved. And the adaptability to the external environment and the state change of the robot is enhanced. Especially in the operation process, an accurate attitude adjustment and gravity center shift evaluation mechanism is used.

The invention relates to the technical field of smoke treatment equipment, and provides coal-fired boiler smoke treatment equipment which comprises a shell, a smoke inlet pipe is arranged on one side of the shell, a smoke outlet is formed in the top of the shell, a spraying device is arranged in the shell, a heat conduction cylinder is arranged at the bottom in the shell, a smoke containing cavity is formed in the heat conduction cylinder, and a smoke outlet is formed in the smoke containing cavity. The smoke inlet pipe extends into the smoke containing cavity, the top of the smoke containing cavity is fixedly connected with a plurality of filter cartridges used for filtering particulate matter in smoke, one end of each filter cartridge extends out of the heat conduction barrel, and a plurality of filter holes are formed in the outer surface, at one end of the smoke containing cavity, of each filter cartridge. A plurality of air outlets are formed in the outer surfaces of the sides, away from the heat conduction cylinder, of the filter cylinders, and a cleaning device used for cleaning the outer surfaces of the filter cylinders is arranged in the smoke containing cavity. According to the technical scheme, a worker does not need to shut down when cleaning the filter screen, and the flue gas treatment efficiency is improved.

The invention discloses a coal mine dust concentration real-time monitoring method based on big data analysis, and relates to the technical field of coal mine dust concentration monitoring, and the method comprises the following steps: obtaining various parameter information generated in the data fusion process of a big data system in real time, including transient response information and time synchronization information, and analyzing and processing the obtained transient response information and the time synchronization information. According to the method, the transient deviation index and the phase error index are introduced, the data fusion process is intelligently evaluated in combination with the machine learning model, the error problem caused by the sensor response time difference is solved, and multi-level intelligent sensing is achieved. The system accurately judges the risk level, reduces false alarm and missing alarm, takes maintenance, adjustment or emergency intervention measures corresponding to different risks through a grading early warning mechanism, remarkably improves the coal mine monitoring safety, and reduces the accident risk.

The invention discloses an energy storage lithium battery cabinet supporting capacity expansion, and relates to the technical field of energy storage cabinets, the energy storage lithium battery cabinet comprises a cabinet body, an electric telescopic rod, a solution cavity and a battery supporting plate, the electric telescopic rod is fixedly connected with the cabinet body, the solution cavity is fixedly connected to the upper end of the electric telescopic rod, the battery supporting plate is vertically and slidably connected to the solution cavity, and the battery supporting plate is fixedly connected to the cabinet body. According to the invention, when the weight of the lithium battery is reduced due to over-discharge and aging of the battery, the round pipe orifice and the square through orifice are indirectly matched for use, so that the size of the overlapped circulating orifice is changed, and due to the expression form of the law of conservation of mass in fluid mechanics, the effect of mass conservation is improved. The gradually-decreased coincident circulation openings enable the flow speed of cooling liquid flowing in the transmission pipe to be increased, early warning feedback is carried out under detection of a flow speed sensor in the coincident circulation openings, and the mechanical transmission is different from a monitoring mode adopting a voltage monitoring method in the prior art through the design of a feedback mode of the water flow speed. And the monitoring completeness of the lithium battery over-discharge and battery aging is improved.

The water electrolysis hydrogen production control system comprises an energy conversion unit, an electric energy storage unit, an electrolysis hydrogen production unit, a hydrogen storage unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent regulation and control unit and a remote monitoring unit, and the energy conversion unit is used for converting renewable energy into electric energy. Temperature, pH value, current, voltage, electric quantity, air pressure and hydrogen concentration data are collected in real time, then intelligent analysis and judgment are conducted, an analysis and judgment result is obtained, a regulation and control instruction can be issued in time, it is ensured that the temperature of the electrolytic cell is appropriate, electric energy supply is stable, and the efficiency and safety of electrolytic hydrogen production are effectively improved. And meanwhile, the remote monitoring unit realizes data visualization and abnormity alarm, so that operation and maintenance personnel can master the state of the system in time and quickly respond and process.

The utility model discloses an enrichment device for anaerobic ammonium oxidation bacteria. The device comprises an enrichment unit and a control unit, the enrichment unit comprises one or more culture tanks and carriers fixed in the culture tanks; a liquid inlet and a liquid outlet are respectively formed in a tank body of the culture tank; the one or more culture tanks are connected in sequence; the culture tank is filled with a nutrient medium; the nutrient medium circularly flows in one or more culture tanks to form an aerobic and anaerobic environment. The enrichment device for the anaerobic ammonium oxidation bacteria is independently arranged outside a sewage treatment system, efficient enrichment is achieved, and the problem that the growth and reproduction of the anaerobic ammonium oxidation bacteria are slow due to the fact that the anaerobic ammonium oxidation bacteria are affected by pollutants in the sewage treatment system in the redebugging period is solved.

The invention belongs to the technical field of data storage management, and discloses a distributed storage management system and method for cross-border e-commerce trade data. Comprising the steps of collecting cross-border e-commerce trade data; formulating a data classification rule based on the cross-border e-commerce trade data, and dividing the cross-border e-commerce trade data into a plurality of data subsets according to the data classification rule; constructing a heterogeneous coding graph for each data subset, and coloring the heterogeneous coding graphs to generate a corresponding heterogeneous coding data subset; distributing and storing the heterogeneous coded data subsets in a plurality of heterogeneous storage nodes according to a preset distribution rule, and grouping the heterogeneous storage nodes to obtain n heterogeneous storage node groups; a storage space is allocated for each heterogeneous storage node group, and distributed storage is completed; the method not only optimizes the data management process, but also provides a more reliable data basis for deep data mining and business intelligence analysis.

The invention belongs to the technical field of metallurgical slag recovery, and particularly relates to a metallurgical slag recovery device and a method thereof.The metallurgical slag recovery device comprises a bottom table, a plurality of supporting rods are fixedly connected to the upper surface of the bottom table, a same supporting frame is fixedly connected to the upper surfaces of the supporting rods, and a fixing frame is fixedly connected to the upper surface of the supporting frame; a first cavity is formed in the fixing frame, two driving assemblies are fixedly connected to the upper surface of the supporting frame, the output end of each first motor is in transmission connection with first strip steel, each driving assembly drives a crushing roller through the corresponding first strip steel, and a plurality of iron blocks are fixedly connected to the circumferential face of each crushing roller. The two crushing rollers are used for crushing metallurgical slag, and the problems that a large amount of metal dust is generated in the crushing process due to the fact that the interior of the slag cannot be wetted, the surrounding working environment is affected by raising of the metal dust, and the body health of workers is harmed are solved through the arrangement of the spraying assembly and the screening plate.

The invention discloses a traditional Chinese medicinal material pulverizer with a particle size adjusting function, and relates to the technical field of pulverizers. Comprising a control system, a vacuum pump and a bottom plate, a barrel is rotatably mounted on the bottom plate, a cover barrel is slidably mounted at the upper end of the barrel, a discharging port is formed in the lower end of the barrel, a sleeve is arranged in the barrel, a reciprocating plate and a coil are mounted between the barrel and the sleeve, a driving motor is mounted at the bottom of the barrel, and the output end of the driving motor is connected with a transmission shaft; a plurality of smashing pieces are installed at the upper end of the transmission shaft, extending pieces are slidably installed in the smashing pieces, a filter screen is installed at the lower end of the transmission shaft, a cleaning plate is installed above the filter screen, and a cam is installed below the filter screen. The coil and the reciprocating plate are matched to spray cleaning liquid, the filter screen screens the crushed traditional Chinese medicinal materials, the cleaning plate cleans the filter screen, and the cam drives the filter screen to vibrate to prevent the filter screen from being blocked.

The invention discloses an unmanned vehicle cluster control method and system based on dynamic master-slave switching. The method comprises the following steps: initializing unmanned vehicles, selecting a formation, and determining the initial position and speed of each unmanned vehicle; state data of the unmanned vehicle are collected and monitored, a fitness function value is calculated, and whether main vehicle switching needs to be carried out or not is judged; establishing a multi-layer fitness evaluation method, identifying a vehicle which is most suitable for being used as a new main vehicle, and generating a switching preparation signal; the original main vehicle and the candidate main vehicle are coordinated, and role conversion is carried out through smooth transition; and after master-slave switching is completed, readjusting the formation pattern based on an obstacle avoidance and regression algorithm of a dynamic window. The system comprises a communication architecture module, an initialization module, a decision module, a switching preparation module, a smooth transition module and an adjustment module. According to the invention, by introducing a flexible switching mechanism and a self-adaptive control strategy, the problems of main vehicle selection and calculation load transfer of the current unmanned vehicle cluster are solved.

The invention relates to the technical field of water treatment devices, and particularly provides an aerobic granular sludge precipitation screening device which comprises a particle generator, a forced water inlet system, a water outlet system and a sludge discharge system. The continuous flow aerobic granular sludge precipitation screening device has the beneficial effects that the sludge screening strength is improved by improving the water inlet load of the partial continuous flow aerobic granular sludge precipitation screening device; the light flocculent sludge is actively eliminated so as to improve the particle proportion, and controllable discharge of the light flocculent sludge is realized.

The invention discloses a bridge construction displacement monitoring device, which relates to the field of bridge safety and includes an infrared monitoring sensor, wherein the front and rear of the infrared monitoring sensor are both provided with a connection structure, wherein the connection structure includes a fixed ball seat, wherein the interior of the fixed ball seat penetrates through the front and is rotatably connected to a ball hinge body, wherein the outer surface of the ball hinge body is fixedly connected to a connecting rod 1, wherein one end of the connecting rod 1 is fixedly connected to a connecting frame, wherein a sliding plate is provided inside the connecting frame, wherein the top, bottom and both sides of the sliding plate are fixedly connected to sliders, wherein four sliding grooves are provided inside the connecting frame, wherein six springs are provided between the rear of the sliding plate and the rear of the interior of the connecting frame, and a ball shell is fixedly installed at the front of the sliding plate. By providing a connection structure, the invention not only prolongs the service life of the device, but also ensures the accuracy and reliability of the monitoring data.

The invention discloses a recycling pretreatment structure applied to coke oven tail gas treatment. The recycling pretreatment structure comprises a spraying tower barrel, a supporting base is arranged at the bottom of the spraying tower barrel, a water overflow guide frame is arranged in the spraying tower barrel, a condensed coke separation tower barrel is arranged at the top of the spraying tower barrel, the top of the water overflow guide frame is sleeved with multiple sets of scraping frames, and a filter screen ring is arranged at the bottom of the water overflow guide frame; through the design of the arc-shaped groove, the spraying mist disc, the condensation spiral ring and the like, primary treatment, deep treatment and three-time treatment are achieved, the tail gas purification quality is progressively guaranteed layer by layer, tar is effectively separated and extracted and recycled through an oil conveying pipeline, and the economic benefit and the environmental protection value are improved; the smoke pressure is used for pushing the impeller to rotate and driving related parts to be linked, energy consumption is reduced, a standby motor is arranged, modes can be switched according to needs, working conditions can be flexibly adapted, stable operation of equipment is guaranteed, and cost is reduced.

The invention relates to the technical field of green fuel preparation, and discloses a method for preparing green fuel by coupling biomass gasification and combustion, which comprises the following steps: (1) separating N2 from air, taking a part of residual gas as a gasification agent, and taking the other part as combustion gas; (2) carrying out chemical chain gasification on the biomass through steam under the condition of a gasifying agent to obtain H2 and CO2; (3) carrying out chemical looping combustion on the biomass under the conditions of an oxygen carrier and combustion gas to obtain CO2; (4) electrolyzing a part of obtained CO2 by using electric energy obtained by biomass chemical looping combustion to obtain CO; (5) synthesizing N2 and H2 to prepare a green NH3 product; and synthesizing H2, CO2 and CO to prepare a green methanol product. According to the method, a biomass fuel chemical looping power generation and biomass chemical looping gasification coupling technology is applied, a carbon source in biomass is fully utilized, meanwhile, green NH3 and methanol products are prepared, and efficient utilization of resources is achieved.