79results about How to "To achieve the purpose of early warning" patented technology

The invention provides a transfusion monitor. The transfusion monitor comprises a shell, a fluid amount collecting and controlling device, a WIFI (Wireless Fidelity) communication module and a power supply management module, wherein the fluid amount collecting and controlling device, the WIFI communication module and the power supply management module are respectively arranged on the shell. The fluid amount collecting and controlling device is used for collecting relevant parameters in a transfusion device, and obtaining the dripping speed and residual liquid measure by the relevant parameters so as to obtain the residual time of the transfusion, realize the prediction on the transfusion completing time and achieve an early warning aim. The invention further provides a transfusion monitoring system based on a cloud service which comprises a transfusion monitor, a wireless receiving and dispatching module, a nurse station computer group, a cloud server and a patient terminal, wherein the transfusion monitor is used for transmitting monitoring information collected by the transfusion motor to the nurse station computer group through the wireless receiving and dispatching module, the nurse station computer group is used for transmitting the monitoring information to the cloud server, and the patient terminal and the nurse station computer group can visit the cloud server to obtain the monitoring information.

The invention relates to bridge collision avoidance pre-warning equipment, which effectively solves a problem that the existing collision avoidance structure can be only used once. The technical scheme for solving the problem is that the bridge collision avoidance pre-warning equipment comprises a bridge column; the bridge column is connected with a bridge pier; the bridge pier fixes a first radian plate; the first radian plate is connected with a second radian plate; the second radian plate is connected with a third radian plate; the third radian plate is connected with a fourth radian plate;the fourth radian plate is connected with a fifth radian plate; the fourth radian plate is indirectly linked with a rack; the rack is engaged with a first gear; the first gear is connected with a water shifter in a transmission manner; the first gear is connected with a first belt wheel in a transmission manner; the first belt wheel is connected with a second belt wheel in a transmission manner;the second belt wheel is connected with a second gear in a transmission manner; the second gear is engaged with a third gear; a fourth spring is connected between the second gear and the third gear; the rack is connected with a hydraulic cylinder connecting block; the hydraulic cylinder connecting block is connected with a hydraulic cylinder; the second belt wheel is connected with a cam in a controller in a transmission manner; the cam can touch a switch by rotating; the right side of the controller is connected with a buzzer; and the buzzer is controlled by the switch. The bridge collision avoidance pre-warning equipment has a good collision avoidance effect.

The invention discloses a mine protecting suit fabric with synergetic functions of bacteria resisting, static resisting, toxic gas monitoring and dust poison filtering and a preparation method thereof. The protecting suit material comprises a body protecting fabric, a sterilization protecting suit fabric and a gasochromic protecting suit fabric, wherein the body protecting fabric comprises a pieceof base cloth which is processed by MXene conductivity and an MXene filtering layer of which the surface comprises hydrophilic functional groups which can be reacted with mine toxic gas and a wear and static resisting hydrophobic layer, the body protecting fabric is taken as the body of a protecting suit, a function fabric which is modified by a dispersing agent and a silver nanowire sterilization agent is adopted by the parts of collar, sleeves and the like where bacteria are easily bred of the protecting suit, and therefore the bacteria can be effectively killed; an outer layer which has agasochromic protecting function is adopted by the sleeves so that mining workers can be warned because the color on a gasochromic layer is significantly changed when encountering mine toxic gas, and therefore mine operation safety is ensured.

The invention discloses an automatic check and early warning method and a system based on infrared imaging temperature measurement for electric power equipment. According to the method, actual measurement temperature, environment temperature, humidity, wind speed, a present visible light video and infrared heat graphs of each detection area of the electric power equipment are acquired, and then trend analysis and prediction on an operation situation of the electric power equipment are carried out through actual measurement temperature threshold value analysis, conversion temperature threshold value analysis, single-phase or interphase temperature difference analysis and largest continuous load heat spot temperature prediction; sound-light early warning is carried out in combination with a warning threshold value according to the prediction values. The method takes intelligent check temperature measurement as the basis, through monitoring on temperature trend change information of the electric power equipment, the operation situation of the electric power equipment for a time segment in future can be predicted, and the early warning effect is realized.

The invention discloses a monitoring and early warning system and method for petrochemical product conveying pipeline leakage. The monitoring and early warning system comprises a sensing detection unit, a wireless communication unit, a remote terminal processing unit, a power supply unit and an execution mechanism. The monitoring and early warning method comprises the following steps of acquiringdata of temperature, humidity, illumination, carbon dioxide, and vibration as well as data of target gas concentration and target product leakage as an original data set; training by adopting a grey neural network algorithm, taking the original data to time integral as input data of the algorithm, and establishing a mathematical relationship model; collecting real-time monitoring data, performingreal-time display output and storage on a remote terminal, and predicting leakage of a target product and leakage occurrence probability according to the mathematical relationship model; and correspondingly starting leakage early warning according to the leakage occurrence probabilities. The system and the method have the characteristics such as good universality, high accuracy, and low energy consumption, and are suitable for leakage monitoring and early warning in a long-distance chemical pipeline conveying process.

The invention discloses a monitoring device and a monitoring method for the current capacity of a maritime platform cable. The monitoring device comprises a power distribution cabinet, an optical-fiber grating demodulation monitoring system, a current acquisition device, transmission and relay equipment and a temperature sensor, wherein the current acquisition device is connected with the power distribution cabinet to be used for transmitting the current which is collected by the current acquisition device into the transmission and relay equipment, and an electrical signal is converted into a light signal through the transmission and relay equipment; the temperature sensor is laid on the surface of a cable, and tail fibers of the temperature sensor are gathered into an optical fiber distribution box to be connected into the optical-fiber grating demodulation monitoring system by the optical fiber distribution box through an optical cable. The monitoring method adopts the following steps of 1, collecting real-time current; 2, collecting real-time temperature; 3, carrying out calculation on the temperature and the current capacity of a conductive wire core; 4, carrying out judgment on monitoring data. According to the monitoring device and the monitoring method, dispatch and adjustment on the load of the cable can be carried out, safety in operation of the cable is guaranteed, the problem of power supply in an emergency status is solved, and reasonable utilization of the cable is realized.

The invention relates to the technical field of image processing, and concretely relates to an optical fiber cable sheath fracture early warning method. The method comprises the following steps: firstly collecting a cable image, and obtaining a plurality of initial connected domains; obtaining a plurality of defect clusters according to the position relation of the central points of the initial connected domains, judging the initial connected domain which does not belong to the defect cluster as a linear defect; obtaining principal component directions of all initial connected domains in the defect cluster, and screening the initial connected domains in the defect cluster for the first time; on the basis of each defect cluster, according to the increase and decrease sequence of the pixel value sequence of each initial connected domain and the density of the initial connected domains, secondarily screening the initial connected domains in the defect cluster; obtaining a gray level co-occurrence matrix of each initial connected domain in the defect cluster; according to the entropy mean value of the gray-level co-occurrence matrix, screening initial connected domains in the defect cluster for three times; and marking linear defects and defect clusters after three times of screening to obtain defect positions. According to the embodiment of the invention, irregular defects are detected, and the purposes of cable defect detection and early warning are achieved.

The invention relates to a method and device for monitoring system faults and hidden dangers based on system healthy degree. The method comprises the steps that firstly the business domains affectingthe system healthy degree are analyzed, corresponding influence factors are selected aiming at the business domains of network situation, safety situation, calculation resources, storage resources andthe like, the selection of the service domains can be determined according to the actual needs of the system healthy degree, the pairwise comparison of each factor of the business domains is conducted on the above basis to form a determination matrix, the maximum characteristic root and the maximum characteristic vector of the matrix are determined, and the maximum characteristic vector obtainedby calculation is taken as the influencing weight of each factor on business domain healthy degree, so that the corresponding healthy degree evaluation models of each business domain are constructed,and finally the monitoring model of the system healthy degree is established. By monitoring the system healthy degree in real time and grading the scale of the system healthy degree, effective and visually advance evaluation and prediction method can be formed on macro business level to facilitate timely discovering of the system faults and the hidden dangers of maintenance personnel and guaranteethe durable and normal operation of a business application system.

The invention discloses intelligent on-board equipment and a communication method thereof. An OBD (On-Board Diagnostic) device transmits real-time diagnostic information of a vehicle to a cloud serverthrough an on-board intelligent terminal, and corresponding diagnosis is provided by the cloud server and corresponding service merchant information is pushed to the on-board intelligent terminal. The method of information pushing based on the OBD information ensures pertinence and continuity of vehicle maintenance and service pushing. According to the equipment, all-personnel participation of supervision and early warning of vehicle conditions, road conditions and driving conditions is also realized through adding an early-warning voting module, and an accident occurrence rate is reduced. The invention also discloses the communication method of the intelligent on-board equipment, false-report and report-missing danger cases are avoided to the greatest extent through carrying out voting and statistical analysis on abnormal information, and danger can be avoided in time; and through presetting an abnormal-information list, early warning can also be quickly carried out when an abnormality occurs, and early-warning efficiency is further improved.

The invention discloses a tire pressure monitoring system and a tire pressure monitoring device. The tire pressure monitoring system comprises the tire pressure monitoring device and a data acquiring device, wherein the tire pressure monitoring device is used for monitoring a tire parameter in real time, recording primary state data into an internal memory of the tire pressure monitoring device and sending the state data to the data acquiring device when the tire parameter reaches the preset value; the data acquiring device is used for acquiring the state data including recording time and tire parameters. According to the tire pressure monitoring system and the tire pressure monitoring device, the tire parameters including the pressure and the like can be monitored in real time, thus achieving real-time monitoring and pre-warning purposes; a driving state of an automobile in a certain time and the situation changes of the parameters including the pressure, the temperature, the accelerated speed and the like can be recorded, so that the track record to the driving state of the automobile is realized, and the stability and the reliability are improved; meanwhile, the system and the device can further play helping roles in the driving state analysis, troubleshooting and the like of the automobile after an event and even play certain reference roles in the accident cause affirmation of vehicles.

An early warning and calling system protecting travelling safety of the aged includes a portable calling system and an early warning shoe circuit module installed in left foot or right foot shoe body; the early warning shoe circuit module can detect obstacle distance and hollow depth and judge whether an old man tumbles or not; when an obstacle or hollow is judged to exist, a vibrating motor stimulates the sole to achieve an early warning function; when the old man tumbles, tumble information is sent to the portable calling system; the early warning shoe circuit module can also detect illumination intensity of ambient environment of the left foot or right foot shoe body, the portable calling system receives tumble or non-tumble information sent by the early warning shoe circuit module installed in the left foot or right foot shoe body, automatically sends help seeking or safety information to n mobile phones one by one in sequence according to set n mobile phone numbers planned to contact, and performs two-way communication with the mobile phones; and the system has handling functions of controlling help seeking and safe states and canceling an alarm by keys through manual operation. The invention also provides a method for using the system to realize early warning and calling alarm.

The invention relates to an oxygenating device for aquaculture and particularly relates to an oxygenator capable of implementing water quality analysis, pre-warning and intelligent control. The oxygenator comprises a motor, a turbine, a sensor module group, a controller module, a high-gloss pre-warning indicating light, a GSM (Global System for Mobile Communications) text message module, a floating body, a power supply module, an insulating shell and a bracket, wherein the sensor module group consists of a dissolved oxygen sensor, a PH value sensor, a temperature sensor, an electric conductivity sensor and a turbidity sensor; a controller is used for acquiring each quality parameter of a water body by the sensor module group, comparing and analyzing the parameters to obtain comprehensive water quality parameters, executing corresponding pre-warning and braking operation according to the comprehensive water quality parameters, sending the water quality parameters and the motor running state to a user by the GSM text message module and also receiving and executing an operation instruction sent in a text message by the user; the motor is used for driving the turbine to rotate to make sprays in order to improve the water quality; the power supply module is used for supplying power to each part of the oxygenator after transforming commercial power. The oxygenator disclosed by the invention is low in cost, simple to operate and wide in applicability.

A tire pressure dynamic weighing device based on a neural network is characterized in that a sensor module connected with a pressure sensor, a temperature sensor and a level sensor collects data transmitted by the sensors, and transmits the data to a signal compilation and transmission module to realize wireless transmission connection of the sensor data; the signal compilation and transmission module compiles a data signal and then transmits the data signal to a data analysis module, and the data analysis module analyzes the data through a neural network analysis mode and transmits the final analysis result to a system display module; and a data interface module connected with the system display module is responsible for sending the analysis result to a peripheral system. The beneficial effect is as follows: tire pressure, temperature information and other data of different vehicles can be collected, stored and transmitted, the data is finally analyzed through a neural network data analysis model, and the analyzed data is output to the system display module to achieve the purpose of monitoring and pre-warning. Meanwhile, data interfaces are provided for the external system.

The invention discloses a cloud early warning system and a method of wires under extreme meteorological conditions. The method includes setting front-end systems on each pylon, setting a vibrating sensor and a meteorological sensor in each front-end system, obtaining vibrating parameters and micro meteorological data around the wires, and transmitting test data of the front-end systems to a remote monitoring system through a communication system; performing grid division on a wire corridor by using the terrain where the wire is located, and obtaining the wind speed distribution of the wire corridor at the forecast moment through combining obtained micro meteorological data with macro weather forecast and calculating a computational fluid dynamics (CFD) model; and obtaining static and dynamic response and ice and snow accumulation conditions of the wires at the forecast moment through a finite element model database of the wire system and combining the obtained wind speed distribution of the wire corridor at the forecast moment. By means of the cloud early warning system and the method, meteorological data of positions where wire system corridors are located in the future can be forecasted accurately, wind, ice and snow resistant capacities of the wire system under meteorological conditions can be simulated, and therefore the early warning effect is achieved.

The invention discloses a safety perception early warning method and system for an underground pipe gallery, and the method comprises the steps: building a global coordinate system of the underground pipe gallery, segmenting the pipe gallery to obtain pipe gallery segments, and building a BIM model, including pipe gallery facility equipment and monitoring points, of each pipe gallery segment; acquiring different types of parameter information of the underground pipe gallery structure body in real time; performing combined configuration of analysis data, determining an analysis and calculation model according to a configuration result, and performing safety perception early warning on the underground pipe gallery according to the analysis and calculation model and different types of parameter information; and calling the BIM models of the pipe gallery facility equipment and the monitoring points according to the safety perception early warning result so as to carry out three-dimensional display on the safety perception early warning result. According to the invention, support can be provided for operation and maintenance personnel, the purposes of safety perception and early warning of the underground pipe gallery are achieved, the workload of field operation personnel and the working pressure of management personnel are reduced, and the operation and maintenance efficiency of the pipe gallery is improved.

The embodiment of the invention discloses a vehicle danger early warning method which is used for achieving the purpose of early warning before an accident occurs. The method comprises the following steps: receiving an environment image sent by a target vehicle, wherein the environment image comprises surrounding vehicle information; extracting vehicle identification information in the peripheral vehicle information; querying historical violation records of corresponding vehicles in a road traffic information database according to the vehicle identification information; determining a risk vehicle and a corresponding risk level according to the query result; and sending a corresponding operation instruction to the target vehicle according to the risk level label.

The invention provides a method of monitoring running status of a steam turbine high-pressure cylinder based on parameter relevance intelligent analysis. The method is applicable to power generation enterprises to monitor running status of a steam turbine high-pressure cylinder and provide early warnings. Historical normal running data of the steam turbine high-pressure cylinder are used as training data to perform modeling based on parameter relevance intelligent analysis so as to estimate real-time data; whether each variable is abnormal is judged according to deviations between actual values and estimated values, so that early warning is achieved. The method has high calculating efficiency and good results accuracy, is well applicable to actual conditions to monitor running status of asteam turbine high-pressure cylinder in a power generation enterprise in real time, and is significant to early warning on anomalies and faults.

The invention discloses a design method for a system for improving the transportation management of dangerous materials, and relates to the technical field of transportation of dangerous materials. The method is characterized in that the method comprises the steps: system design, monitoring sensor selection, and sensor installation. According to the invention, gas monitoring is carried out through a limited space formed by a tunnel, and the method achieves the real-time monitoring an accident of dangerous chemical leakage which may happen to a dangerous chemical transportation vehicle passing through the tunnel, thereby achieving a purpose of the early warning of the accident of dangerous chemical leakage.

The invention relates to a detection and early-warning method of an early-warning system based on abnormal gas detection in high-voltage chamber. The abnormal gas detection early-warning system is composed of a micro-processor, an I / O (Input / Output) interface, a liquid crystal display screen, a keyboard, an analog-digital converter, a sampling holder, a multipath channel switching switch, a current-to-voltage converter, an HCL gas sensor, an SO2 gas sensor, a CO gas sensor and an ozone gas sensor, wherein the I / O interface, the liquid crystal display screen, the keyboard and the analog-digital converter are connected with the micro-processor, and the sampling holder, the multipath channel switching switch, the current-to-voltage converter, the HCL gas sensor, the SO2 gas sensor, the CO gas sensor and the ozone gas sensor are sequentially connected with the analog-digital converter. The control program of the early-warning method adopts two timer interruptions, a main software program used for each branch control of the program and a timer interruption 0 used for data acquisition control. The early-warning system has the advantages that multipath signals are sequentially acquired through multi-channel switching, and analog quantity signals are converted into data signals identified by a computer and are compared with a preset range; and if the signals are beyond the range, the system can give an alarm to achieve the purpose of early warning; meanwhile, a large-screen human-machine interface human-machine interface is arranged, and user operation is convenient and flexible.

The invention relates to a numerical control machine tool running state monitoring method based on Spark. According to the system, Apache Spark is used as a basic computing framework, so that massiveoperating data is processed and analyzed, and meanwhile, components such as an OPC protocol-based acquisition module and a Kafka distributed message queue are added to provide a reliable data interface for the system. A DBSCAN algorithm based on density clustering is adopted for historical data through Spark-MLib, and data distribution characteristics, namely different health states, in differenttime periods are found. Meanwhile, an SVM classification algorithm is adopted to establish a monitoring model, and therefore real-time monitoring of the safe operation state of the numerical control machine tool is achieved.

The invention discloses a discrimination signal identification method and device for cerebral apoplexy, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring signal data of a user, wherein the signal data comprises at least one discrimination signal for diagnosing cerebral apoplexy; inputting the signal data of the user into a first network model for classification to obtain a first signal classification result; comparing the first signal classification result with a preset signal database to obtain an uncertain discrimination signal; and inputting an undetermined discrimination signal in the first signal classification result into a second network model for judgment to obtain a second signal classification result. According to the application, the technical problem that doctors cannot be assisted to diagnose and treat cerebral apoplexy diseases as early as possible due to lack of early warning for early symptoms of cerebral apoplexy inrelated technologies is solved. According to the application, the purpose of early warning early symptoms of cerebral apoplexy is achieved, so the technical effect of assisting doctors in diagnosingand treating cerebral apoplexy diseases as soon as possible is achieved.

The invention provides a failure alarming method of a respirator and the respirator. The failure alarming method comprises the following steps: S1, detecting the concentration c of a chemical toxic gas in a gas fed into a gas inlet in real time; S2, recording the working time t of the respirator; S3, detecting the air inlet quantity q of the respirator in real time; and S4, according to the concentration c of the toxic gas, the working time t and the air inlet quantity q, calculating the quantity of the toxic gas fed into the respirator, and triggering an alarming device to alarm when the quantity of the toxic gas fed into the respirator meets a preset value S, wherein the preset value S is less than or equal to the maximum absorption amount of a chemical gas filter. By adopting the technical scheme, according to real-time accumulation calculation, whether the respirator is failed or not can be indicated in real time, the purpose of proactive alarming can be achieved, and the timeliness of failure alarming can be ensured.

The invention discloses a building carbon emission management method, system and device. The method comprises the following steps: determining the total carbon emission limit of a target building within a preset time period; determining carbon emission historical data of the target building; according to the carbon emission historical data of the target building, the carbon emission proportion corresponding to the target energy type is determined, and the carbon emission proportion is the ratio of the carbon emission value corresponding to the energy of the target energy type to the total carbon emission value; and determining a target carbon emission limit of the target energy type in the preset time period according to the carbon emission limit and a carbon emission proportion corresponding to the target energy type. The technical problems that in the prior art, the carbon emission limit cannot be decomposed into monthly indexes of different energy types, benchmarking with the carbon emission limit cannot be conducted in real time in the management and control process, and overrun early warning cannot be conducted in time are solved.

The invention discloses a safety supporting bracket for bridge construction. The safety supporting bracket structurally comprises cross beam reinforcing rods, stabilizing devices, a bridge main body,a bearing base, bracket reinforcing rods, bracket supporting rods, construction tables, vertical cross beams, horizontal cross beams, concrete balancing weights, wing formwork supporting rods, wing formworks and side formworks. The stabilizing devices comprise alarms, lever compressing mechanisms, device fixing seats, compressing rods, fixing bolts, transmission mechanisms, device shells and earlywarning mechanisms. According to the safety supporting bracket for bridge construction, the lever compressing mechanisms, the transmission mechanisms and the early warning mechanisms are mounted in the stabilizing devices, lever compressing replaces welding and fixing of a traditional bracket and a bridge, and thus the purpose that the supporting bracket and the bridge are fixedly mounted and dismounted quickly can be achieved; and meanwhile, the early warning mechanisms are mounted, so that the construction efficiency and the construction safety are improved, and practicability is high.

The invention discloses an intelligent early-warning flame-retardant material prepared from a modified high-molecular polymer and a method and application thereof. The method comprises the following steps: modifying a high-molecular polymer by diisocyanate; grafting an isocyanate group on the surface of the high-molecular polymer; then adding graphene oxide to react with an isocyanate group on thesurface of the high-molecular polymer to form a graphene layer on the surface of the high-molecular polymer, then adding aminopropyltriethoxysilane for reaction, adding tetraethoxysilane and tetramethylammonium hydroxide, and synthesizing octapolytetramethylammonium polyhedral oligomeric silsesquioxane on the graphene layer by a sol-gel method. The material prepared by the method integrates the flame-retardant property and signal induction into a whole so that the manufacturing cost of a security system can be reduced, and the fire detection precision can be further improved.

The invention relates to a roller way safe operation monitoring method for a roller way kiln. The method comprises the following steps that signals generated when roller bars operate and vibrate are monitored, roller way load queue deformation signals are monitored, and signal conversion processing is carried out on the monitoring signals; the signals corresponding to the roller bars are collected, roller way monitoring signals are collected, and storage and data preprocessing are carried out; signal characteristic value and spectrum analysis is carried out on the monitoring signals corresponding to the roller bars, and an operation condition report of the roller bars is generated; discrete deformation analysis is carried out on section roller way loads, a deformation report is generated,and section bar rollers are integrally evaluated through deformation information; if abnormal characteristics or abnormal spectrums appear, abnormal reports and abnormal early warning signals of the corresponding roller bars are submitted; the roller bars with the abnormal reports and the abnormal early warning signals are checked and confirmed, and an actual abnormal result report is returned; and the characteristic values and the spectrums of the roller bars with the abnormal reports and the abnormal early warning signals are confirmed to serve as correction analysis standards, and resourcelibrary data are accumulated. The roller way safe operation monitoring method aims at achieving safe operation of the roller way kiln.

The invention relates to the technical field of computers, and in particular to a computer with a fatigue pre-warning component. The computer comprises a pre-warning component body which is mounted onthe bottom surface of a keyword of the computer, wherein the pre-warning component body comprises a chassis frame which is rectangular; a front grid mesh frame strip and a rear grid mesh frame stripare correspondingly arranged at the front and rear sides of the chassis frame; and a left chamber and a right chamber are correspondingly arranged at the left and right sides of the chassis frame. According to the computer, a light source pre-warning party and mechanical actions of keyboard sheltering cloth are adopted to achieve the aim of pre-warning; the computer is convenient to use and is capable of carrying out timely pre-warning so as to bring benefit to health of people; and interval rest time is beneficial for the working efficiency of each working period.

The invention discloses an anti-explosion valve which is arranged on a battery box body and comprises a valve body, a pressure relief mechanism movably arranged on the valve body, a detecting switch in contact with the pressure relief mechanism in the normal state; and when the pressure value in the battery box body is greater than the set anti-explosion pressure value, the pressure relief mechanism is separated from the detecting switch, and the detecting switch outputs a signal and transmits the signal to a control system for early warning. According to the anti-explosion valve, the detecting switch is arranged in the valve body, and the pressure relief mechanism is cooperated with the detecting switch to realize the early warming purpose and easily meet the safety standards of various new energy automobiles.