334results about How to "Avoid disaster" patented technology

A security system and method for mass transit and mass transportation whereby high capacity mobile vehicles such as ships, buses, planes, trains and subways transporting large numbers of passengers or cargo, are continuously monitored and secured. Sensors are utilized to detect and alert the presence of radioactive or explosive materials on board as well as within close proximity of the vehicle. Sensors are also used to identify and track cargo and people, such as drivers, operators, employees, crew, and passengers, and provide continuous location and tracking thereof from the point of initial entry to the final point of exit. Additionally, a global positioning system (GPS) provides location data, and wireless data and telecommunications link provides two-way data and voice communication with any designated remote location by using one of several modes of wireless telecommunication. Cameras provide visual observation within designated viewable areas, and may be activated by any detection of motion, and are infrared or night vision capable allowing viewing even in extremely poor light conditions. DVR recording allow a huge amount of video content from the cameras to be digitally recorded, then played back later for further analysis. Finally, the Security System may optionally have an Internet Protocol (IP) address thereby allowing authorized persons to access the system from secured Internet connection.

The water retention coal mining method utilizes a structural key layer being the aquiclude, covering the abilities of hydrogeological exploration, acquiring and modeling the relevant hydrogeological data about the strata, recognizing the structural key layer using mechanics analysis and numerical simulation and choosing the appropriate coal mining method and process parameters through existing conditions. While realizing the protective exploration of water resources, it can prevent water disaster inside the coal mine; Current techniques accumulated in the process of coal mining, like filling, slip casting, can realize reliable protection for structural key layers, based on the conditions of the mining area in selecting mining method, process, support and protective design to realized the final goal of aquiclude coal mining. It can both prevent the damage of water disasters both from the bottom plate and the top plate.

The invention provides a lithium battery thermal runaway early warning and automatic control method, which is characterized by, to begin with, establishing a mathematic model for judging lithium battery thermal runaway development process by utilizing environmental data; then, collecting environmental data of a lithium battery in real time by utilizing a plurality of sensors, and carrying out on-line analysis on change of the collected multiple environmental data with reference to the established mathematic model to judge lithium battery thermal runaway occurrence risk or thermal runaway; and once thermal runaway causes fire, a fire control device is automatically and immediately started to control expansion of the thermal runaway, thereby reducing thermal runaway risk to the lowest degree, and preventing serious safety accidents of an electric automobile to the maximum degree.

The invention discloses a cloud computing based system and method for greenhouse cluster internet of things. The system comprises a greenhouse cluster wireless sensor network, a front end portal service system, a back end cloud computing system and multiple remote communication terminals. The front end portal service system is connected with the back end cloud computing system through a high-speed Ethernet or internet, and then connected with the multiple remote communication terminals through the internet, a wireless mobile network and phone voice, in order to provide services such as inquiry, analysis, early warning, control, decision and maintenance for greenhouse production. The back end cloud computing system accumulates greenhouse monitoring data, online data and production related data according to service orders or automation settings to provide data mining analysis for each greenhouse or the greenhouses in each region, so as to discover the production rule and facilitate decision making; the back end cloud computing system further provides environment prediction models, control models and parameters of each greenhouse, and transmits the information to the front end portal service system or the greenhouse cluster wireless sensor network, in order to provide early warning and control services for each greenhouse. The system and the method can implement intelligent production for the greenhouses, improve the yield, reduce the cost and increase the efficiency.

The invention discloses a tunnel structure monitoring system and a tunnel structure monitoring method based on a distributed long-gauge fiber bragg grating. The system comprises distributed long-gauge fiber bragg grating sensors which are comprehensively distributed in a monitored range along the axial direction and the cross section of a tunnel; and longitudinal sedimentation of the tunnel and change conditions of various ring joints of the shield tunnel are monitored. The method comprises the following steps of arranging the distributed long-gauge fiber bragg grating sensors; and acquiring, transmitting and processing data. By the tunnel structure monitoring system and the tunnel structure monitoring method based on the distributed long-gauge fiber bragg grating, full-life monitoring on a tunnel structure in a construction period and a running period can be carried out, and longitudinal sedimentation, convergence deformation, joint deformation, duct piece internal force, strain and the like of the tunnel structure are dynamically monitored in real time.

The invention relates to a variable rigidity shock insulation integral intelligent support seat and belongs to the technical field of building structure shock absorption. The variable rigidity shock insulation integral intelligent support seat is characterized by comprising an upper connecting plate (1), a lower connecting plate (4), a magnetic conduction steel plate (2), a magnetorheological elastic body (3), an excitation coil (5), a magnetic conduction iron core (6), a polymer matrix composite permanent magnet material (7), a lead core (8), a conducting wire passage (9), an upper connecting screw bolt hole (10), a lower connecting screw bolt hole (11) and a driving power supply (12), wherein the a magnetorheological elastic body (3) and the magnetic conduction steel plate (2) are in a circular ring shape or a square ring shape, the excitation coil (5) and the magnetic conduction iron core (6) are arranged inside a support seat, and the polymer matrix composite permanent magnet material (7) provides a bias magnetic field for a closed magnetic circuit. The variable rigidity shock insulation integral intelligent support seat has the effects and benefits that the shock insulation and the variable rigidity are integrated, the structure is simple, the anti-interference performance is high, the two-way rigidity regulation can be realized, different horizontal rigidities can be provided for the structure according to different quake waves, and the destroy of earthquake disasters on building structures and bridge structures is effectively reduced.

The present invention allows creation of a backup key for backing up an encryption key inside a source trusted chip, encrypting the encryption key with the backup key, exporting the encrypted encryption key from the source trusted chip and storing it in a storage device, encrypting the backup key for transmission to a trusted third party. If the encrypted encryption key needs to be restored inside a destination trusted chip, the backup key and the encryption key encrypted with the backup key are imported to the destination trusted chip, where the encrypted encryption key is decrypted with the backup key inside the destination trusted chip to obtain the encryption key of the source trusted chip.

The invention provides an urban accumulated water prediction and safety early warning system based on a flood drainage model. The urban accumulated water prediction and safety early warning system combines the flood drainage model, weather forecast, an accumulated water on-line monitoring system and a decision support system, and achieves support for urban accumulated water prediction and safety early warning. The urban accumulated water prediction and safety early warning system comprises the following steps: (1) combining a pipe network model with a production and confluence model to construct a flood drainage model; (2) depending on a flood drainage model, performing multi-scenario rainfall simulation and warehousing; (3) collecting and reporting real-time rain condition data; (4) calling a multi-scene rainfall bank; and (5) carrying out online prediction and safety early warning on road ponding. The urban accumulated water prediction and safety early warning system based on a flooddrainage model can effectively, accurately and dynamically forecast the flood prevention and drainage conditions of urban ponding-prone points in real time, and can facilitate decision support of a management department.

The invention relates to a stability evaluation method for a marine natural gas hydrate pilot production reservoir and belongs to the field of natural gas hydrate production. The method comprises the steps that geological survey is performed on the marine natural gas hydrate pilot production reservoir, indoor physical simulation is performed according to similarity criteria, and a stability evaluation model of the marine natural gas hydrate pilot production reservoir is constructed to pre-evaluate the stability of the marine natural gas hydrate pilot production reservoir in the pilot production process. Through the method, mechanical responses, dynamic evolution and unstable critical conditions of the natural gas hydrate decomposition reservoir along with natural gas hydrate decomposition can be accurately described, accurate pre-evaluation is provided for the pilot production process of marine natural gas hydrate, and relevant disasters in a pilot production project of the marine natural gas hydrate can be avoided.

The embodiment of the invention discloses an illegal boundary violation alarm system based on video surveillance. The system is used for automatic and accurate analysis of a video image in real time,and automatically alerts potential security risks to reduce potential risks and avoid disasters. The system provided by the embodiment of the invention comprises a photographing device which is used to acquire the video surveillance image of a target area, and a processor which is used to set a pedestrian detection frame around a target person in the video surveillance image when the photographingdevice detects the target person in the video surveillance image. The processor is further used to judge whether the boundary line of a preset warning region in the video surveillance image coincideswith the pedestrian detection frame. The system further comprises a prompt device which is used to send an alarm prompt if the processor determines that the pedestrian detection frame coincides withthe boundary line.

The invention relates to a special anticorrosion conductive powder coating for vertical shaft fluidized bed dip-coating. The special anticorrosion conductive powder coating is prepared from the following raw materials in parts by weight: 500-900 parts of film-forming resin and curing agent, 0-200 parts of glass flakes, 0-350 parts of filler, 15-50 parts of auxiliaries, 5-100 parts of conductive material and 1-5 parts of nanometer aluminum oxide or nano fumed silica. The powder coating has the characteristics of a high glass transition temperature, low specific gravity which is generally less than or equal to 1.1g / cm<3>, and easiness for fluidization; even though hundreds of tons of powder is added to a 20m deep well, the powder can be fluidized easily and uniformly; in case of too high specific gravity and difficult fluidization, the vertical shaft dip-coating method can not be utilized; the powder aims at a hot-dip coating construction process, and the film formed by the coating has surface conduction characteristics and high temperature water boiling resistance, and therefore, the coating is suitable for anti-corrosion coating of long linear workpieces such as mine mining anti-explosion gas pipelines, natural gas pipelines and liquefied gas pipelines; the coating is adaptive to the vertical shaft fluidized beds as deep as 20m, and still has good fluidity, which cannot be realized by common powders easily.

The invention discloses a sulphoaluminate cement paste for deepwater cementing, comprising cement, a lightening admixture, a fluid loss agent, a dispersing agent, a coagulant, a retarder and water. The ratio by weight of the cement to the lightening admixture to the fluid loss agent to the dispersing agent to the coagulant to the retarder and to the water is 100: (13-35): (2-5): (0.5-2): (0.5-3): (0.1-1): (48-75). The sulphoaluminate cement paste can be used at lower temperature, and has better thickening time and higher compressive strength.

The invention discloses a fuzzy clustering analysis method-based method for determining a critical rainfall threshold of a landslide. The method comprises the steps of building an algorithm empirical model, determining the critical rainfall threshold of the landslide, and performing fuzzy clustering factor selection through a Delphi method; based on this, performing fuzzy clustering analysis of the critical rainfall threshold of the landslide, creating a data matrix and a standard data matrix, and establishing a fuzzy similar matrix; and finally performing fuzzy clustering and determining the critical rainfall threshold. According to the fuzzy clustering analysis method-based method for determining the critical rainfall threshold of the landslide, the rainfall threshold is determined by fully considering influence factors of regions through strict mathematic algorithm derivation, statistics technologies and physical means. The method is high in accuracy; the requirements of current landslide forecasting and warning can be met; the threshold accuracy is greatly improved; and reasonable determination of the critical rainfall threshold plays an important role for guaranteeing the landslide forecasting and warning accuracy.

The invention provides an early warning and automatic control method for thermal runaway of lithium batteries. The method is characterized in that once the batteries in a battery box cause a fire due to development of thermal runaway development, an extinguishing device is automatically started immediately to release an extinguishing agent for extinguishing, and the extinguishing agent is released several times. According to the method, the defect that in an existing traditional extinguishing mode, multiple fires which are caused by fire resurgence and thermal runaway extension in lithium battery box fire controlling cannot be controlled is overcome, extinguishing can be conducted multiple times by releasing the extinguishing agent multiple times in the method, continuous cooling can be conducted, fire resurgence is effectively inhibited, thermal runaway extension is prevented, property losses are reduced, and malignant fire accidents are avoided to the greatest extent.

The invention discloses a system and method for remote control coal mine evacuation working face advance detection and forecasting, which comprises a remote control system, a firing device, a blasting excitation system, a blasting receiving system and an anti-explosion geological advance detector host, and is characterized in that the remote control system comprises an anti-explosion computer, a remote controller master computer and a remote control slave computer; the anti-explosion computer and the remote control master computer are connected to realize duplex communication; the remote controller master computer is connected with the remote controller slave computer point to point through a cable; the remote controller slave computer is connected with the anti-explosion geological advance detector master computer to realize duplex communication; the remote control coal mine evacuation working face advance detection and forecasting system also comprises a synchronous signal detectionbox; and the output end of the firing device is connected with the synchronous signal detection box, the firing device outputs excitation signals to the blasting excitation system through the synchronous signal detection box, thereby preventing an operator from harm.

The invention relates to a flowing current separation process coal mine underground gangue dumping system. The technical scheme includes that a run-of-mine coal conveyor is mounted on one side of a feeding end of a roller screen, two ends of an on-screen selected raw material coal conveyor are connected with a front-screen chute of the roller screen and a feeding port of a flowing current separation machine respectively, a block coal of the flowing current separation machine is connected with a dewatering screen, an oversize material discharging end of the dewatering screen is sequentially connected with a block coal conveyor, a block coal transferring conveyor and a pulverized coal conveyor, a high frequency screen is mounted in the middle of the block coal conveyor, under-screen water of the dewatering screen is connected with a concentration tank through a pipeline, the concentration tank is connected with the high frequency screen, a gangue outlet of the flowing current separation machine is connected with a bucket elevator, a discharging end of the bucket elevator is sequentially connected with a gangue conveyor, a gangue transferring conveyor and a gangue warehousing conveyor, under-screen water of the high frequency screen and overflow of the concentration tank are connected with a circulating water tank through pipelines respectively, and the circulating water tank is connected with a water inlet of the flowing current separation machine through a circulating water pump and a pipeline. The flowing current separation process coal mine underground gangue dumping system is simple in process, good in separation effect, low in power consumption and low in operating cost.

The invention relates to a real-time wireless sensor network routing method supporting large-scale node application. A network is constructed by combining a core cluster head routing mechanism and a flat routing mechanism, so that routing is determined by frequency, and is independent of a specific node; a cooperative processing strategy and an energy balancing strategy are adopted between the nodes; the network is divided into grids according to the space density of the nodes, and an isolated point reduction optimization measure is adopted. According to the method, inter-network cluster-based routing signal interference is reduced, the problem of network disasters caused by routing node failures is solved, the reconstruction frequency of network clusters can be maximally reduced, the maintenance overhead of the clusters is reduced, and the response real-time performance of the whole network is improved.

The invention provides an intelligent dry method gangue discharge system and method applied to an underground coal mine. The intelligent dry method gangue discharge system and method are suitable for preferential separation of underground coal gangue, on-line identification of coal and the coal gangue and sorting based on different densities of the coal and the coal gangue through the synergistic effect of an X-ray and lattice detector and an ultrasonic ranging device. The intelligent dry method gangue discharge system and method are simple in process, high in intelligent level, good in separation effect and small in investment. With the adoption of the intelligent dry method gangue discharge system and method, the gangue can be discharged underground directly on the spot and does not need to be conveyed to the ground. Kinetic energy consumption and transport cost are reduced, due to the fact that the gangue is not lifted out of a well, ineffective transport can be canceled, transport expense is reduced, and transport cost is reduced.

The invention discloses a gas extraction and coal spontaneous combustion coupling disaster-causing experimental simulation apparatus and method in a coal mine. The gas extraction and coal spontaneous combustion coupling disaster-causing experimental simulation apparatus comprises a pressure-resistant insulation seal tank, a gas extraction and filling apparatus and a monitoring apparatus; the gas extraction and filling apparatus comprises a vacuum gas extraction pump and a constant-pressure gas filling apparatus, the constant-pressure gas filling apparatus comprises a gas filling bottle with a pressure gauge, a decompression valve, an explosion-proof gas washing box, a gas drying box, a constant-temperature heating box, a pressure stabilizing valve, a pressure gauge, a flow gauge and two gas switch valves; the monitoring apparatus comprises a plurality of temperature sensors, a temperature analysis instrument and a gas chromatograph; the pressure-resistant insulation seal tank is internally provided with a coal sample, and the gas extraction and filling apparatus enables the vacuum gas extraction pump and the constant-pressure gas filling apparatus to be respectively connected with the coal sample in the heat-resistant insulation seal tank through an h-shaped steel pipe; and the monitoring apparatus is connected with the pressure-resistant insulation seal tank. By adopting the gas extraction and coal spontaneous combustion coupling disaster-causing experimental simulation apparatus and method, a gas extraction and coal spontaneous combustion coupling disaster causing process in the underground gas extraction process of a coal mine can be really and accurately simulated.

The invention relates to a security management system for a rented house. The system comprises a water, electricity and gas data acquisition unit, a central processing unit, a lessee information registration unit and an early warning unit, wherein the lessee information registration unit registers identity information of lessees corresponding to a rented house and the number of the lessees when a lease contract is established; the water, electricity and gas data acquisition unit acquires data information of a water meter, an electricity meter and a gas meter of the rented house in real time and transmits the data information to the central processing unit; the central processing unit processes the data information transmitted from the water, electricity and gas data acquisition unit to obtain consumption information corresponding to different time segments, judges the consumption information and a data threshold range of the corresponding time segment in a feature database, generates an early warning signal according to a judgment result, and transmits the early warning signal to the early warning unit; and the early warning unit performs security management on the rented house according to the early warning signal.

The invention discloses a short-distance coal seam roadway excavating and supporting method. The method comprises steps as follows: 1, basic mechanical parameters of surrounding rock are determined; 2, reserved excavated volumes of two sides of a roadway are determined; 3, the roadway is excavated; 4, a roadway side supporting structure is determined and comprises roadway supporting units and grouted rock bolts which are arranged in a staggered manner, and the roadway supporting units comprise top plate supporting systems, bottom plate supporting systems and roadway side supporting systems; and the limit caving arch rise is determined; 5, the roadway supporting structure is determined; 6, roadway surrounding rock supporting construction is performed; 7, excavation of the next section and roadway surrounding rock supporting construction are performed; 8, the step 7 is repeated multiple times, and the short-distance coal seam roadway construction process is completed. The method is simple, reasonable in design, convenient to realize and good in use effect, the reserved excavated volumes of the two sides of the roadway are determined respectively according to surrounding rock deformation conditions of the short-distance lower coal seam roadway, and whole section supporting is performed on the roadway through combination of the grouted rock bolts with the roadway supporting units.

The invention provides a BIM-based steel structure engineering real-time monitoring and early warning method. The system comprises a BIM model processing subsystem, a structure analysis and service center subsystem, a communication network subsystem and a data acquisition equipment terminal. Based on a building structure finite element model based on a BIM data model and real-time sensor data provided by a data network, the structure is accurately simulated and analyzed, any existing or potential structure problems are judged, early warning information is sent out, and problem components are clearly identified in the BIM model through different colors; meanwhile, structural deformation data, external environment data and the like transmitted by the equipment terminal are collected and automatically added to the BIM informatization model, and the model is synchronously adjusted and changed according to structural deformation. According to the invention, high-precision steel structure engineering health monitoring is realized, and the authenticity of structure monitoring and the accuracy of risk analysis are improved through continuous self-adjustment of the BIM model.

The invention discloses a method for predicting subsidence of soil outside a pit based on a differential evolution support vector machine. The method comprises collection of the subsidence of on-site soil outside the pit, determination of a rough change rule of data to be a tangent curve, tangent fitting on subsidence data through differential evolution (DE), reasonable selection method of a scaling factor F and a crossover probability Cr of the DE, determination of a decision function of the support vector machine (SVM), simulation of generation of the subsidence data, evaluation and the like. The method comprises the following steps: through the DE, determining the basic form of a subsidence function for the soil outside the pit according to the subsidence data, and then performing parametric inversion; taking an obtained analytic function as the decision function of the SVM, and performing kernel function conversion on the decision function by the SVM; and finally, performing fitting prediction through the SVM, and detecting data conformity. Through the subsidence data of the on-site soil and the subsidence prediction simulation, curve fitting of the SVM is quicker and the prediction is more accurate; and the method can be widely applied to safety monitoring on foundation pit construction.

The invention relates to a traffic management technology, in particular to a dynamic scheduling traffic management system and method which can effectively avoid the congestion phenomenon, and enable emergency vehicles to pass preferentially. The dynamic scheduling traffic management system comprises an image acquisition module, a wireless communication module, an intelligent cloud analysis platform, a main controller, a traffic light and a voice broadcast device, wherein the image acquisition module is in signal connection with the intelligent cloud analysis platform through the wireless communication module, the image acquisition module is also in signal connection with the main controller through the wireless communication module, and the intelligent cloud analysis platform is also in signal connection with the main controller through the wireless communication module; the main controller is also in signal connection with the traffic signal lamp and the voice broadcast device. The image acquisition module and the voice broadcast device are installed on the traffic light.

The invention relates to an automatic lifting floating type integrated flexible net cage. The integrated flexible net cage comprises an upper floating frame assembly; the upper floating frame assemblyis of a circular or polygonal rigid structure and floats on water surface through a floating body; multiple automatic lifting devices are arranged at different positions of the upper floating frame assembly and include mounting brackets, winch wheels arranged on the mounting brackets and motors, the winch wheels are wrapped with pulling ropes, and output shafts of the motors are coaxially connected with the winch wheels; the lower ends of the pulling ropes are connected with connecting ropes, the connecting ropes are fixedly connected to a purse seine, and the purse seine is of a flexible structure; the purse seine is fixedly connected with a lower supporting assembly, the lower portion of the lower supporting assembly is connected with an anchor, and the anchor sinks into the bottom of awater body. The adoption of the automatic lifting floating type flexible net cage, on the one hand, can buffer the rigid impact of waves, and on the other hand, can solve disasters caused by bad seaconditions to aquaculture by lifting the purse seine. At the same time, the manufacturing cost of the net cage is reduced, and the mechanical automatic lifting solves the problems of deep sea super large flexible net cages.

The invention relates to a position set urban IoT edge calculation point / site setting and managing method, and belongs to the field of IoT. The method comprises that B1) a subarea is set, and a calculation point / site setting plan is provided by an operator according municipal or private park facilities and monitoring water and soil environment thereof, and set after agreement of an administrationdepartment; B2) a calculation point is set in a small block, and sensor data of the block is acquired, decoded, screened and uploaded to a calculation site; B3) the calculation site is arranged in anexpanded block, uploading information of the calculation site is fused in the deep layer, and uploaded to a background server and an application terminal, and monitoring motion is started; B4) the background server drives the application terminal, and the administration department implements monitoring via the background server; and B5) the administration department pays the rent of the operator and the maintenance cost of sensors, the labor cost can be reduced to certain extent, and the distribution ratio disaster prevention and economic benefit caused by prediction decisions is set by discussion between the calculation point / station operator and the service administration department. The setting and managing method is helpful for smart city.

The invention discloses a self-correcting fully-distributed optical fiber Raman scattering sensor. In the invention, a duplex fiber cable is utilized as a sensing optical fiber, pump light is divided into a forward beam and a backward beam during the transmission process by welding the tail ends of the duplex fiber cable together so as to obtain two anti-Stokes Raman scattering light beams, and the intensity of the anti-Stokes Raman scattering light beams is measured so as to realize temperature measurement; and the intensity values of the two anti-Stokes Raman scattering light beams can be multiplied so as to achieve the purpose of self-correction of curvature, loss, strain and the like. The sensor disclosed by the invention comprises an optical fiber pulse laser, an optical fiber wavelength division multiplexer (WDM), the duplex fiber cable, a photoelectric receiving module, a digital signal processor (DSP) and a computer. The invention has the advantages that self-correction and temperature measurement can be carried out at the same time only by measuring the intensity of the anti-Stokes Raman scattering spectrums; and the system has a simple structure, and avoids the defects that the traditional measuring system has transmission loss and errors caused by different center wavelength and needs a plurality of photoelectric receivers.

The invention relates to a robot dual peg-in-hole assembling method utilizing a genetic evaluative algorithm based on learning and belongs to the technical field of robot automatic assembling. The method has the advantages that a regression prediction model is utilized to predict the fitness value of an actual robot assembling process, only a small number of optimal genes are subjected to actual tests every time, the assembling control algorithm in an actual environment is optimized on the basis of a small number of tests, and the assembling process is improved; the regression model of supportvector machines is utilized, the method has strong fitting ability to a complex nonlinear system containing noise, theoretical optical convergence can be achieved, the local minimum problem is avoided, the calculation complexity of the method depends on the number of the support vector machines instead of the dimensionality of sample spaces, and the dimensionality disaster problem can be avoidedto a certain degree.

The invention relates to bi-component flame-retardant low-viscosity unsaturated polyester resin and a preparation method thereof. The unsaturated polyester resin is prepared by undergoing a polycondensation reaction on dihydric alcohol and binary acid / acid anhydride. A cross-linking agent and a flame retardant are added in the reaction, so that the aims of lowering resin viscosity and enhancing material intensity and flame retardance are fulfilled, and the unsaturated polyester resin can be taken as a grouting reinforcement material for broken surrounding rocks and loose coal-rock masses in underground constructions such as mines and the like.