3510results about How to "Relieve pressure" patented technology

An energy scheduling system of a high-power liquid cooling charging pile belongs to the technical field of liquid cooling charging piles, and comprises a power scheduling module, a liquid cooling management module, a data acquisition and monitoring module, an energy storage and energy recovery module, a communication and interaction module, an intelligent scheduling module and a remote management and analysis module. Through the intelligent scheduling and energy optimization technology, power distribution can be adjusted in real time according to the vehicle demand and the power grid state, overload is avoided, and the charging efficiency is improved; and secondly, an advanced liquid cooling management technology is adopted, and temperature monitoring and cooling liquid flow rate adjustment are combined, so that heat balance and stable operation of the equipment under a high-load condition are ensured, the service life of the equipment is prolonged, and energy waste is reduced. In addition, the system can store redundant electric energy and release the electric energy in the peak load period of the power grid through the energy storage and energy recovery module, so that the power grid pressure is effectively reduced, and the energy utilization rate is also improved.

The invention discloses a Transform large model training method based on cloud edge collaboration. The method comprises the following steps: S1, constructing a data set; s2, preprocessing the data set; s3, segmenting the preprocessed data set by using a data parallelism strategy, and performing distributed training by combining data parallelism and model parallelism technologies; s4, monitoring computing resources and network conditions of the edge equipment and the cloud server in real time, dynamically adjusting a data distribution strategy, and optimizing computing load distribution; s5, a multi-agent dominant actor-commentator algorithm is combined with a multi-arm tiger machine strategy, and the layered structure of the Transform model is adjusted in real time; s6, performing partial model reasoning tasks on the edge equipment in combination with the edge reasoning capability; s7, protecting data privacy by adopting a federal learning strategy and utilizing a differential privacy technology; and S8, performing hardware acceleration by utilizing heterogeneous computing resources. According to the method, a cloud edge cooperative computing and intelligent scheduling method is adopted, and large model training and reasoning with efficient privacy protection are realized.

The invention relates to the technical field of power management, in particular to a charging pile group energy management method, which comprises the following steps: S1, predicting the power demand of each charging pile in a short period and the available amount of renewable energy; s2, adjusting the charging power of each charging pile through a dynamic allocation algorithm; s3, encouraging a user to charge in an off-peak period based on a preset pricing algorithm; s4, predicting a user charging demand mode; s5, monitoring electric energy quality in a charging process in real time, and automatically adjusting parameters of charging equipment by using a preset electric energy adjusting technology; and S6, automatically activating a preset standby energy supply scheme under the emergency condition of the power grid fault. According to the invention, energy distribution is optimized through real-time monitoring and intelligent adjustment of the charging strategy, the power grid efficiency is improved, the cost is reduced, and the continuity and safety of the charging service are ensured through the standby energy system, so that the operation efficiency of the charging infrastructure and the user satisfaction are remarkably improved.

The invention discloses an audio and video joint coding and decoding method based on generative artificial intelligence. The coding comprises the following steps: extracting various modal features from an audio signal and a video; fusion is carried out in cross-modal attention; task identification: firstly identifying a current task type, determining the task type, and analyzing specific requirements of the task by a system; dynamic self-adaptive weight distribution is carried out; and fusing the features, namely fusing the multi-modal features distributed with different weights. The audio and video joint coding method has the advantages that audio and video feature extraction, video feature extraction and AI-based generation technologies are applied to audio and video joint coding for the first time, and the problems that when video coding and decoding are conducted through a traditional method, compression efficiency is low, and the pursuit of higher quality cannot be met are solved. Meanwhile, on the basis of a generation type coding and decoding mode, the style and quality can be flexibly adjusted according to the personal requirements of the user.

The invention discloses a charging pile dynamic power scheduling method, and relates to the technical field of charging pile power scheduling, and the method specifically comprises the following steps: obtaining node state information of each remaining normal node in real time, and generating a remaining bearing capability index and a load balancing index of each normal node; and constructing a power distribution evaluation model for the generated residual bearing capacity index and the load balancing index of each normal node, generating a power distribution evaluation coefficient of each normal node, analyzing the power distribution evaluation coefficient after generation, and evaluating the power bearing capacity of each normal node. Dividing each normal node into a high-bearing node, a middle-bearing node and a low-bearing node according to an evaluation result; and respectively adopting a corresponding power scheduling strategy according to a division result of each normal node. According to the invention, the problem that the power resource cannot be quickly and efficiently allocated after the fault node exits is solved, and efficient and stable dynamic balanced power scheduling and system operation are realized.

The invention discloses an AI-based intelligent energy management method and system for air conditioning equipment. The method comprises the following steps that indoor environment data are collected in real time through a sensor on the air conditioning equipment; cleaning, de-noising and normalizing the acquired environment data; collecting air conditioner setting preference data of the user; based on the collected data, reasoning and result output are conducted on operation of the air conditioner through an AI model in the edge computing device; according to the result output, an air conditioner control strategy adapting to the current environment and user requirements is generated; dynamically adjusting the operation mode of the air conditioner based on the real-time load and the power grid condition; the air conditioner control strategy is adjusted according to feedback data in the air conditioner operation process; according to the AI-based intelligent energy management method and system for the air conditioning equipment, a comfortable environment can be provided, efficient energy management can be achieved, the overall energy consumption is reduced, and the pressure on a power grid is reduced.

The invention provides an in-orbit calculation autonomous system for a low-orbit satellite. A satellite system is managed in a mode of dividing satellites in a constellation into a plurality of autonomous groups, a unified management mechanism and an in-autonomous-group management mechanism are constructed to construct a management system of the satellite autonomous groups, and a streaming computing task migration scheme sensitive to a geographic position is constructed to construct an over-the-ground communication optimization scheme of the satellite system. Through a grouping mode, the low-orbit satellites can be divided into a plurality of autonomous groups, and the pressure of management nodes is reduced; a dynamic grouping mechanism is introduced during grouping, so that the balance of calculation load borne by each group in the whole operation period is ensured; a decentralized satellite cluster self-organization and cooperation mode is provided, so that the high availability of the cluster and the robustness of task processing are improved; according to the designed streaming computing task migration scheme sensitive to the geographic position, the expenditure caused by frequent migration of the on-satellite computing task is reduced from two aspects of migration path selection and migration mechanism implementation.

The invention discloses a communication network power distribution cabinet convenient for heat dissipation, and relates to the technical field of power distribution cabinets, and the power distribution cabinet comprises a composite mechanism. According to the communication network power distribution cabinet convenient to dissipate heat, through the design of a composite mechanism, the box body shell is used for storing electronic components, after long-time operation, the temperature in the box body shell rises, hot gas rises, and then the hot gas flows to the processing mechanism from the circular groove, so that the heat dissipation effect is achieved, and the internal temperature of equipment is reduced; the ventilation mechanisms are arranged on the two sides of the box body shell, so that the convection effect is achieved, the cold air flowing effect is improved, the cold air is located at the low position with the high density, hot air is squeezed upwards after entering the box body shell, the discharging speed is increased, and the heat dissipation efficiency is improved. The box body shell is supported through the supporting assembly, so that the effect of reducing deformation of the box body is achieved, and internal electronic elements are protected.

The invention provides a smart power grid data communication optimization method based on edge calculation, and relates to the technical field of smart power grids, and the method comprises the steps: obtaining an inspection topology network of a target power grid; performing multi-angle communication analysis to obtain K power transmission equipment communication feature tuple sets and L inspection site communication feature tuples; carrying out edge step identification to obtain M edge topology sub-networks; performing balanced configuration of sub-network service resources to obtain M edge computing servers; performing routing inspection by using a routing inspection unmanned aerial vehicle and a routing inspection robot to obtain routing inspection video data of L sites; and distributing the data to M edge computing servers for data preprocessing, and uploading the data to a cloud computing center for routing inspection data analysis to obtain a routing inspection analysis result. According to the invention, the technical problem of low data processing efficiency caused by data transmission delay and overweight network load due to the fact that power grid monitoring generally depends on centralized data processing in the prior art is solved.

The invention belongs to the technical field of smart power grids, and discloses a multi-energy collaborative optimization regional power peak regulation cloud service system and method. The method comprises the following steps: collecting regional electricity consumption time sequence data, and collecting photovoltaic power station key data and wind power station key data in unit time; preprocessing the key data of the photovoltaic power station and the key data of the wind power station to obtain preprocessed key data of the photovoltaic power station and preprocessed key data of the wind power station; inputting the preprocessed key data of the photovoltaic power station into a photovoltaic power generation prediction model, inputting the preprocessed key data of the wind power station into a wind power generation prediction model, and respectively obtaining predicted photovoltaic power generation and predicted wind power generation; inputting the regional electricity consumption time sequence data into the regional electricity consumption prediction model to obtain future unit time regional electricity consumption; according to the invention, the prediction accuracy of the regional predicted electricity consumption and the predicted generating capacity of the distributed energy power station is improved.

The invention relates to the technical field of automatic dispatching and management of a power system, and discloses an automatic dispatching control system based on photovoltaic power generation, which comprises a photovoltaic power generation unit used for converting solar energy into electric energy and monitoring power generation power and power generation efficiency in real time; the energy storage unit is electrically connected with the photovoltaic power generation unit and is used for storing redundant electric energy and intelligently releasing the electric energy according to the load state of the power grid; the meteorological monitoring module is used for collecting and predicting meteorological data in real time, the meteorological data comprise sunlight intensity, temperature, wind speed and the like, and generating a short-term weather forecast; and the demand response management system is electrically connected with the power grid and the user side equipment, and the system intelligently identifies non-critical load equipment by monitoring the load of the power grid in real time. The intelligent scheduling module is combined with meteorological prediction and real-time data, so that the system can dynamically adjust the output power of the photovoltaic power generation unit, ensures that the power generation capacity is matched with the power grid demand, reduces the power waste, and maximizes the utilization of renewable energy sources.

The invention relates to the technical field of resource optimization aggregation regulation and control, and particularly discloses an optimization aggregation regulation and control method and system capable of adjusting load resources, and the method comprises the steps: analyzing the environment state of a to-be-adjusted region, determining a resource aggregation regulation and control deviation factor, analyzing the power grid state and power grid weakness characteristics of the to-be-adjusted region, and determining a resource aggregation regulation and control deviation factor; and obtaining a resource aggregation regulation response factor, determining a resource aggregation regulation response priority category and a response duration category of the to-be-regulated region, obtaining regulation scale data of the to-be-regulated region, and judging whether load peak shifting and load power correction need to be performed on the to-be-regulated region or not. The problems that a traditional centralized regulation and control mode is difficult to adapt to the flexibility and complexity of distributed loads, and an existing regulation and control method is insufficient in consideration of load characteristics and influence characteristics and cannot achieve accurate regulation are solved. The utilization rate of power generation equipment is increased, and efficient utilization of energy is promoted. And new energy power generation fluctuation can be smoothed, and the access proportion of renewable energy sources can be improved.

The invention discloses a laser cutting device for kitchenware production, and relates to the technical field of kitchenware production, the laser cutting device comprises a fixed frame, a supporting frame is fixedly mounted at the bottom of the fixed frame, a plurality of placing frames are fixedly mounted on the inner side of the fixed frame, the laser cutting device further comprises a movable frame and a laser cutting device, the movable frame is arranged above the fixed frame, and a movable seat is arranged above the interior of the movable frame; a U-shaped frame is fixedly installed at the bottom of the movable seat, an electric push rod is fixedly installed in the U-shaped frame, meanwhile, a disc is fixedly installed at the movable end of the electric push rod, guide rods are symmetrically installed at the top of the disc, the two sets of guide rods are both slidably connected with the U-shaped frame, and a laser cutting head is fixedly installed at the bottom of the disc; the top of the cutting position can be cleaned after the plate is cut, attached slag can be cleaned down, the subsequent grinding and cleaning step is omitted, the influence on subsequent kitchen ware plate machining is avoided, and the production efficiency of kitchen ware is improved.

The invention discloses a punch forming device for producing an automobile engine oil pan, and relates to the technical field of punch forming, and the punch forming device comprises a composite mechanism. According to the punch forming device for production of the automobile engine oil pan, through the design of the composite mechanism, materials are placed in the processing mechanism and conveyed to the composite base through the processing mechanism, then a movable cross beam is controlled through a hydraulic column to enable a pressing module to extrude a bearing module, and therefore the punch forming effect is achieved; the effect of manually laying materials is reduced, potential safety hazards of operators are reduced, the operation environment is optimized, after long-time operation of the bearing module, parts can be seriously abraded, and therefore the stamping precision of follow-up materials is affected, the bearing module can be replaced, and in the process that the pressing module extrudes the materials towards the bearing module, the pressing module can be replaced, and the pressing module can be replaced. And the magazine mechanism contracts to store force, so that after stamping is finished, ejection is performed through the magazine mechanism, the effect of preventing material adhesion is achieved, and the subsequent operation efficiency is prevented from being influenced.

The invention belongs to the technical field of refrigerant filling, and particularly relates to a refrigerant filling device with a vacuum leak detection function, which comprises a displacement plate, a box body, a controller, a liquid storage tank, a vacuum pump, a manifold assembly, a booster pump and a connecting pipe assembly, and the connecting pipe assembly is connected with a balance assembly; the connecting pipe assembly comprises a manifold head, and the manifold head is connected with the balance assembly through a corrugated pipe. When the refrigerating system is vacuumized, air and water in the refrigerating system are pumped away through the vacuum pump, the sealing plate, the connecting ring and the corrugated pipe synchronously move towards the manifold head under the action of negative pressure, the connecting ring drives the corrugated pipe to be folded, and when the reset spring is stretched to the limit, the corrugated pipe is completely folded; moisture in the annular groove of the corrugated pipe is extruded out of the annular groove and pumped away through the vacuum pump, the corrugated pipe is in a completely folded state, the space of the annular groove is controlled to be in an extremely small range, the moisture is not prone to entering the annular groove when passing through the corrugated pipe, and moisture accumulation in the annular groove is avoided.

The invention discloses a preparation method of a fly ash-Al-MOF material loaded with sodium percarbonate and acid-containing ferrous sulfate, which comprises the following steps: carrying out heat treatment on fly ash, cooling, adding into a sulfuric acid solution, stirring and mixing, carrying out solid-liquid separation, adding sodium hydroxide into a liquid product to adjust the pH value to 4.5-6 to obtain an aluminum hydroxide precipitate, washing and roasting to obtain aluminum oxide, and drying to obtain the fly ash-Al-MOF material loaded with sodium percarbonate and acid-containing ferrous sulfate. The preparation method comprises the following steps: mixing fly ash-Al-MOF with a sulfuric acid solution to obtain an aluminum sulfate solution, uniformly mixing the aluminum sulfate solution with a phthalic acid solution, carrying out solid-liquid separation, washing a solid product, carrying out freeze drying to obtain fly ash-Al-MOF, and respectively loading sodium percarbonate and acid-containing ferrous sulfate on the fly ash-Al-MOF to obtain fly ash-Al-MOF loaded with sodium percarbonate and fly ash-Al-MOF loaded with acid-containing ferrous sulfate; and uniformly mixing the two components to obtain a finished product. Compared with the existing method, the material prepared by the invention can realize long-term, stable, effective and environment-friendly remediation of the organic polluted soil, and the remediation efficiency is high.

The invention relates to a touch all-in-one machine interaction control method and device, computer equipment and a medium, and the method comprises the steps: receiving image data through a preset video stream protocol, and obtaining a corresponding image data stream; acquiring a real-time network bandwidth condition, and then performing adaptive compression processing on the image data stream based on the real-time network bandwidth condition, and dynamically adjusting image transmission parameters; comprehensively analyzing the image data stream by using a deep learning algorithm, extracting operation characteristics of a user, generating an output control instruction based on the operation characteristics, and further controlling and adjusting image display and / or an equipment state; content information is extracted from the image data stream, and content analysis is carried out by adopting a corresponding content analysis strategy according to the content information, so that real-time display and / or storage are / is carried out according to the analyzed content; and obtaining a user interaction behavior, generating a corresponding adjustment feedback instruction based on the user interaction behavior, and performing personalized adjustment on the user interface. The method has the effect of improving the image transmission quality.

The utility model relates to the field of solar photovoltaic, and discloses windproof stable solar photovoltaic power generation equipment, which comprises a mounting rack, the top end of the mounting rack is fixedly connected with a supporting column, the top end of the supporting column is provided with a driving mechanism, and the outer wall of the driving mechanism is in threaded connection with a round sleeve. The left end of the circular sleeve is fixedly connected with a connecting block, the inner wall of the connecting block is elastically connected with a fixing pipe through a torsional spring, the left end of the fixing pipe is fixedly connected with an inserting sleeve, an inserting block is inserted into the inner wall of the inserting sleeve, the left end of the inserting block is fixedly connected with a photovoltaic panel, and the top end of the mounting frame is fixedly connected with a fixing seat. And the top end of the mounting frame is fixedly connected with a U-shaped plate. According to the utility model, the photovoltaic panel is in a transverse state, so that the wind force borne by the structure is more uniformly distributed instead of being concentrated at a specific part, the pressure of the supporting structure and the connecting piece can be reduced, the risk of damage is reduced, and the stability of the device is improved to a certain extent.

The utility model discloses an automatic throttling monitoring manifold for large-drift-diameter well drilling, which comprises an inlet four-way joint, a first pressure control throttling pipeline, a second pressure control throttling pipeline, a third blowout pipeline and a fourth monitoring pipeline, and one interface of the inlet four-way joint is connected with wellhead equipment; the other three interfaces are respectively connected with a first pressure control throttling pipeline, a second pressure control throttling pipeline and a third blowout pipeline; the first pressure control throttling pipeline and the second pressure control throttling pipeline have the same structural composition and are standby for each other; the third blowout pipeline is provided with a special-shaped five-way connector, and the other three connectors of the special-shaped five-way connector are connected with the tail end of the first pressure control throttling pipeline, the tail end of the second pressure control throttling pipeline and the initial end of the fourth monitoring pipeline correspondingly. According to the 5 ''* 35MPa large-drift-diameter automatic throttling monitoring manifold suitable for large-displacement operation of the ultra-deep well, fluid with larger displacement can pass through, circulating friction resistance is reduced, and wellhead pressure is reduced, so that the service life is prolonged, and potential safety hazards are reduced.

The invention provides a distributed simulation system and device based on a DDS (Direct Digital Synthesizer), which can meet the requirements of the accuracy of a human-in-loop semi-physical simulation process of an aircraft, the data publishing / subscribing real-time performance of each component, the compatibility of development software of each professional subsystem, the interactivity of third-party data and simulation data and the reusability and expansibility of a model. A distributed simulation system operation framework is utilized, access of a heterogeneous system is supported, and finally confrontation between a human-in-loop semi-physical simulation system and an illusion party generated by a computer is achieved. An HLA distributed simulation architecture thought is adopted, simulation system data can be interacted through a real-time network through DDS middleware, and interaction content comprises flight simulation data, control panel data, visual head-up display data and MFD data.

The invention discloses an intelligent director system for a symphony concert scene, and the system comprises an audio and video stream receiving and decoding module which is used for decoding original audio and video data at the same time, and transmitting the decoded audio and video data to a feature detection module; the total spectrum analysis module is used for identifying and analyzing the total symphony spectrum data and sending an identification result to the switching logic module; the feature detection module is used for analyzing the decoded video and audio data, identifying various musical instruments appearing in a video frame picture, the scene type of the current picture and the quality of the picture, and providing the identified musical instruments, the scene type and the quality to the switching logic module as reference information; the switching logic module is used for judging whether the current picture can be cut out or not according to a switching judgment rule; and the director visualization module is used for playing the picture cut by the switching logic module. According to the invention, automatic broadcasting of the symphony concert performance is realized.

The invention relates to the technical field of coolers, and provides a plate type cooler which comprises a box body and a spraying pipe and further comprises a plurality of heat exchange plates, the heat exchange plates are arranged in the box body at intervals and located below the spraying pipe, every two adjacent heat exchange plates are communicated, each heat exchange plate comprises a plate body, each plate body is provided with a cavity, and heat exchange water is introduced into each cavity; the multiple turbulent flow strips are arranged in the cavity at intervals, each turbulent flow strip is provided with a baffling part and a turbulent flow part, one end of each baffling part is arranged on the inner wall of the plate body, and each turbulent flow part is rotationally arranged at the other end of the corresponding baffling part; the control piece penetrates through one side of the plate body and extends out of the box body, the control piece is provided with a connecting end, the connecting end is arranged on the turbulent flow part, and the control piece is used for driving the turbulent flow part to rotate. By means of the technical scheme, the problems that in the prior art, due to the fact that channels between the plates of a traditional plate cooler are very narrow, the phenomenon of blockage after scaling is prone to occurring, and the heat exchange effect is affected are solved.

The invention belongs to the technical field of micro-reaction, and particularly relates to a micro-mixer and a method for continuously preparing nano cooling liquid. Comprising a reaction cavity in which a plurality of reaction flow channels are arranged, all the reaction flow channels are used for preparing nano cooling liquid and are vertically arranged in the reaction cavity in a three-dimensional spiral shape, and each reaction flow channel is internally provided with a plurality of disturbance structures and a plurality of distributors which are arranged in the reaction cavity and located above all the reaction flow channels, each distributor is connected with the inlets of all the reaction flow channels, the collectors are arranged at the outlets of all the reaction flow channels, and pressure regulating structures are arranged in the collectors. According to the invention, the distributor is adopted to enable the reaction fluid to flow into the corresponding reaction flow channel, the three-dimensional spiral flow channel design in the reaction cavity is folded in space, so that the overall size of the microreactor is not too large, and a disturbance structure is arranged in each reaction flow channel, so that the mixing efficiency can be further improved; the production rate of the microreactor is improved, and blockage in a flow channel is avoided.

The invention relates to the field of building materials, and particularly discloses a fireproof plate and a preparation method thereof. The fireproof board comprises a base material, reinforcing layers wrapping the two sides of the base material and fireproof coatings coating the outer surfaces of the two sides of the board, the base material comprises wood flour, silicate compounds and phenolic resin adhesives, the two sides of the base material are wrapped with glass fiber mesh cloth to serve as the reinforcing layers, and the surfaces of the base material are coated with the fireproof coatings; the fireproof coating is prepared from the following raw materials in parts by weight: 20 to 30 parts of hollow glass beads, 10 to 15 parts of ammonium polyphosphate, 5 to 10 parts of nano metal oxide, 10 to 15 parts of magnesia, 5 to 10 parts of tetraethoxysilane, 15 to 30 parts of epoxy resin and 30 to 40 parts of water. The composition disclosed by the invention has the advantages of fire prevention and high temperature resistance.

The invention relates to the technical field of file storage, and discloses a method and a system for storing multiple concurrent large files. According to the method and the system, the format and the size of a file are verified, a unique file name is generated and used for identifying metadata of a storage file and outputting the file, each small block of the file is divided into a fixed size and is divided into small blocks, a unique identifier is generated for each small block, a database is connected, and the metadata of the file is stored in the database. Then traversing each small block, selecting a storage node for each small block, uploading the small blocks by using multiple threads, setting a request queue, processing file uploading and downloading requests in sequence, avoiding concurrent write-in conflicts of the same file by using a lock mechanism for file uploading, and reading and controlling a read request through a read-write lock; and acquiring the information of the storage file from the database, acquiring each small block by utilizing a concurrent downloading mode, recombining the small blocks into an original file in sequence after downloading is completed, and performing integrity verification after file recombining.

The invention discloses a constant-pressure type compressed air energy storage system and method combined with pumping and storage, and belongs to the technical field of electric energy physical energy storage systems, and the constant-pressure type energy storage system comprises a pumped storage subsystem, a turbine expansion power generation subsystem, a compressed air energy storage subsystem and a water-gas common-capacity cabin constant-pressure subsystem. By flexibly controlling the operation modes of the subsystems and the on-off states of valves among the subsystems, the system can achieve independent energy storage and power generation operation among the pumped storage subsystem, the air compression subsystem and the turbine expansion subsystem. The design not only improves the flexibility and reliability of the system, but also enables the system to carry out optimal configuration and operation according to actual demands, thereby further improving the energy storage efficiency and economic benefits.

The invention relates to a zero-exchange balloon catheter stent system with a far-end protective umbrella and a using method, and belongs to the technical field of medical instruments. Comprising a balloon catheter and a stent system which are connected, the stent system comprises a conveying system and a stent; the conveying system comprises a control core wire; the center of the control core wire is provided with a connecting binding wire fixing hole and a connecting binding wire releasing point; the support comprises a near-end support, a connecting area and a far-end protective umbrella, and the connecting area is located between the near-end support and the far-end protective umbrella; the connecting area comprises a connecting binding wire, a protective umbrella wire binding ring and a protective umbrella connecting wire. The far-end protection umbrella and the near-end support are designed to be a separable combination, instrument exchange is not needed in the operation process, the operation process is simplified, the operation difficulty is reduced, the operation time is shortened, and therefore the risk of complications such as ischemic stroke is reduced.

The utility model relates to the field of automobile parking space fire fighting equipment, and particularly discloses an intelligent fire extinguishing device for an automobile parking space, which comprises a fireproof cover, a support, a fire fighting nozzle, a temperature sensor, a smoke sensor and a lifting assembly, the fireproof cover is fixedly mounted right above the parking space through the support, and an opening is formed in the bottom of the fireproof cover; the fire-fighting sprayer, the temperature sensor and the smoke sensor are all installed in the fireproof cover, the lower end of the fireproof cover is sleeved with a first fixing frame, the first fixing frame is connected with the lifting assembly and moves up and down under the action of the lifting assembly, when the first fixing frame makes contact with or gets close to the support, the fireproof cover is completely folded, and when the first fixing frame makes contact with the parking space, the first fixing frame moves up and down. The fireproof cover is unfolded, and a closed space is formed between the fireproof cover and the parking space. The fire-proof cover can be used for isolating a vehicle on fire from surrounding vehicles or equipment, fire spreading is avoided, meanwhile, a water pool can be formed in the fire-proof cover to immerse a battery, and the final fire extinguishing purpose is achieved.

The invention discloses an intelligent power grid global data monitoring management system and method based on digital twinning, and relates to the technical field of power grid data. Comprising a user data classification module, a historical abnormal event capture module, a feature response model construction module, a priority ranking module and a response encryption module. The user data classification module is used for classifying the user data based on the power grid operation data; the historical abnormal event capturing module is used for capturing historical abnormal events triggering responses in the digital twinborn model, and the feature response model building module is used for analyzing feature response models, corresponding to the historical abnormal events, of all types of user data; the priority ranking module is used for carrying out priority ranking on the user data of the corresponding type by utilizing the characteristic response frequency; and the response encryption module is used for encrypting the user data conforming to the feature response model in a priority order based on the priority of the user data.

The invention relates to the technical field of tunnel engineering monitoring, in particular to a tunnel health monitoring method and system based on edge computing, and the method comprises the steps: a data collection module obtains the original state data of a tunnel through a sensor deployment network, carries out the primary processing of the original state data based on edge computing, and obtains the actual state data; during the period, the data acquisition module performs data filtering on the original state data based on a state data threshold value, rejects invalid data in the original state data and marks abnormal data in the valid data according to an anomaly detection algorithm, and the remaining unmarked original state data is the actual state data of the tunnel; and the monitoring cloud platform obtains the actual state data every a preset period, and carries out data summarization, data storage and data analysis processing on all the actual state data. The system has the beneficial effects that part of calculation tasks are issued to the data acquisition module, so that the processing burden of the monitoring cloud platform is reduced, and the real-time performance and effectiveness of monitoring and early warning are improved.