47results about How to "Timely preventive measures" patented technology

The present invention relates to the testing technology field of electronic equipments, especially to a method and system used for assessing circuit boards corrosion risks. According to the method, the surface insulation resistance values of circuit boards are measured and are compared with the corrosion risks discrimination mapping of the circuit boards to get the corrosion risk levels of circuit boards. The present invention also provides a system used for quickly on-site assessing the circuit boards corrosion risks, which comprises a circuit board, a testing module and a discrimination module, wherein the testing module is used for measuring the surface insulation resistance value of the circuit board and sending the measured value to the discrimination module, the discrimination module is used for comparing the surface insulation resistance value measured with the corrosion risks discrimination mapping to get the corrosion risk level of the circuit board. By using surface insulation resistance values easily got on-site to indicate the circuit boards corrosion risks, the present invention is capable of quickly on-site assessing the corrosion risk of a circuit of a board, and then exhibits excellent effect about adopting some protection measures of the circuit board in time.

According to the invention, a three-dimensional numerical model of deep foundation pit excavation deformation stability in a construction area is established on the basis of the physical and mechanical parameters of deep foundation pit rock soil, hydrological engineering geologic conditions of deep foundation pit regions and FLAC3D technology, and a three-dimensional visual safety pre-warning platform of deep foundation pit stability is built based on VTK business software systems. The real-time monitoring data of horizontal displacement of guard piles, horizontal displacement of crown girders and bump deformation at the bottom of foundation pits are collected through a full-section laser scanner and transferred to a remote monitoring and data processing host machine. The three-dimensional numerical model of deep foundation pit excavation deformation stability performs model parameter correction by use of the data of initial digit groups and compares the subsequent measured data with the model parameter threshold values, and the three-dimensional visual safety pre-warning platform of deep foundation pit stability shows the comparison results and provides pre-warning of safety levels of the over-warning parameters. All the pre-warning messages are sent to mobile phones of relevant personnel and also fed back to audible and visual alarms which are mounted on the working plane of the construction area to give sound and light alarms.

The invention provides a wireless medical equipment system used for digital television, which comprises wireless medical equipment, wireless communication equipment connected with a digital set-top box, a data processing server and a medical equipment communication protocol applied on the digital television. The medical equipment module takes charge of acquiring physiological data of human body, a wireless transmitting device transmits the physiological data to a wireless receiving device through a wireless transmission protocol, communication equipment is connected with the set-top box, a set-top box embedded system transmits the data to the data processing server through a bidirectional network transmission protocol, the data processing server outputs feedback information to the set-top box according to request content, and the set-top box displays the data on the digital television. The system is applied to digital televisions, and has the characteristics of simple and easy operation. Meanwhile, the system can be used for further mining knowledge of medical data through data mining.

The invention provides a slide-face type remote three-dimensional digital pre-warning method and a slide-face type remote three-dimensional digital pre-warning system for the stability of a high slope. The method comprises the following steps: establishing a stability three-dimensional numerical model of a high slope in a construction area according to the physical mechanics parameters of the rocks and soil in the high slope, hydrogeological and engineering geological features in the high slope area, meteorological data and FLAC3D (Fast Lagrangian Analysis Of Continua In 3 Dimensions) technology; establishing a three-dimensional visual safety pre-warning platform based on a VTK (Visualization Tool Kit) commercial software system; acquiring real-time offsetting slipping monitoring data of the slide face of the high slope and the ambient pore water pressure data of the slide face; transmitting the data to a remote computer, and loading to the stability three-dimensional numerical model of the high slope; analyzing the actually-measured data by the model, and comparing with the data of the model, so as to generate a sliding stability grading pre-warning parameter of the high slope; displaying and grading the safety pre-warning through the three-dimensional visual safety pre-warning platform; and transmitting the pre-warning information to cell phones of relative personnel in the form of short messages through a short message module which is linked with the remote computer, thus accomplishing the slide-face type stability remote three-dimensional digital pre-warning of the high slope.

The invention relates to a method for dynamically judging the state of slags in the converter smelting process and belongs to the technical field of metallurgy converter control. The technical scheme adopted by the invention is that the method comprises the following steps of transmitting information about the mass of an oxygen lance, oxygen flow, flue gas flow, noises in a converter as well as the concentrations of CO and CO2 in flue gases which are outputted in real time to a computer for detecting the state of the slags through an intermediate information PLC (Programmable Logic Controller); performing composite dynamic analysis on the information by using a built-in model in the computer; comprehensively judging whether the slags are in a partially-dry or partially-diluted state at the current moment; and sending a risk early warning that the slags get dry or slop, and timely processing. According to the method disclosed by the invention, on the basis of an original application of equipment which is arranged on a 120-ton converter at the production site, relational factors between the state of the slags in the converter smelting process and the information acquired by the equipment are fully considered, the factors are fused, the characteristics of various factors are fully exerted, and composite dynamic detection for the state of the slags from the 120-ton converter is realized; and on the premise of reducing the cost of the equipment, the risk early warning that the slags get dry or slop in the converting smelting process is realized.

A composite material used for the shell of car is prepared through proportionally mixing resin with diluent, solidifying and toughening agent, coating the mixing on the fibrous fabric, semi-solidifying, laminating them on a die, accelerating its solidification in a heating and pressurizing container, cooling and removing die.

The present invention relates to an electric energy quality early warning method which is realized through a mean value-standard deviation control chart. The control chart comprises a mean value control chart and a standard deviation control chart. The method comprises the steps of determining the early warning indicator of electric energy quality, judging whether the early warning indicator excesses a standard, preparing the sample group of the historical data of electric energy quality, determining the control limit of a mean value-standard deviation control chart, judging the stability of the data through the sample group through the mean value-standard deviation control chart, judging whether the real-time monitoring data of the electric energy quality is abnormal or not, judging an early warning level according to the abnormal type of the monitoring data, and giving early warning information. According to the invention, the electric energy quality early warning method is used to establish an electric energy quality early warning system, the safety problems or potential problems in a grid are found timely, early warning information is given, the timely adoption of the control measures by an operator is facilitated, the problems are processed as soon so possible or the potential problems are solved in the bud, the grid safety operation and equipment maintenance are served, and the method has a practical meaning for ensuring the reliable operation of a grid.

This invention discloses one gas leakage automatic switch and alarming device, which comprises gas sensor, computation amplifier, impulse trigger circuit, gas automatic switch value, sound and light alarm circuit and signal emission circuit, wherein, when the gas leakage amounts to certain degree, the gas sensor triggers the amplifier to generate control trigger signals to start the impulse circuit by one branch and other branch starts the alarm trigger circuit; the impulse trigger circuit controls the automatic switch valve to close the gas in certain degrees; alarm trigger circuit starts the alarm circuit and signals circuit.

The invention relates to the field of forest fire prevention and disaster resistance, and specifically discloses a remote forest fire prevention monitoring system and method. The system mainly comprises a monitoring terminal, a server terminal and a user terminal. The monitoring terminal collects image information and data information of a monitoring area, carries out preliminary image processingon the image information, and sends the preliminarily processed image information, data information and monitoring terminal information to the server terminal. The server side performs further image processing on the preliminarily processed image information, obtains an analysis result and alarm information, stores the data information, and sends the alarm information to the user side when the alarm information is generated. The user side extracts the data information and the processed image information, and displays an analysis result and alarm information. Through the system and the method,forest fire early warning information can be obtained more efficiently. Meanwhile, related personnel are reminded to take corresponding prevention measures in effective time, and early warning is carried out in time under the trend of forest fire occurrence conditions.

The invention relates to a dry-type transformer overheating early warning method and device, computer equipment and a storage medium. The method comprises the steps: acquiring multiple items of firsthistorical load data and second historical load data with the generation time after the first historical load data; performing correlation analysis on the first historical load data, and screening outthird historical load data having correlation with the second historical load data from the first historical load data; inputting the third historical load data into a target load prediction model toobtain target predicted load data in a future preset time period; obtaining environment prediction temperature data in a future preset time period, and inputting the target prediction load data and the environment prediction temperature into the hot spot temperature calculation model to obtain hot spot temperature distribution of the dry-type transformer in the future preset time period. According to the invention, overheating early warning can be carried out on the dry-type transformer in operation, and corresponding protection measures can be taken for the transformer in time according to an overheating prediction result.

The invention discloses a multifunctional electric energy metering device which comprises a box body and a box door. The box door is provided with an antitheft device. A power supply end electric energy metering device, a plurality of client electric energy metering devices and a master control circuit board are arranged in the box body. The master control circuit board comprises an electric energy collecting module, a total power utilization metering module, a data processing module, a time module, a client electric energy detection module, an electricity stealing warning module, a box door opening module, a box door opening warning module and an information storage module, and further comprises a client terminal. Whether electricity stealing behaviors occur to a power supply line can be detected through the data processing module, whether each client's power utilization conditions are normal is detected in a timing mode through the time module and the client electric energy detection module, and a person in charge can timely learn about the possible electricity stealing behavior through the electricity stealing warning module, so as to facilitate further examination. Remote real-time detection can further be performed through a mobile phone terminal and a computer terminal, and the electricity stealing resistance is improved.

The invention discloses a biomass solid fuel ash high-temperature melting monitoring device based on capacitance measurement. The biomass solid fuel ash high-temperature melting monitoring device comprises a capacitance plate group and a capacitance tester, wherein the capacitance plate group consists of two capacitance plates which are arranged oppositely, and a high-temperature melting area is arranged between the capacitance plate group; ash is arranged in the high-temperature melting area and used as a dielectric medium of the capacitance plate group; the capacitance tester is electrically connected with the capacitance plate group and used for monitoring a capacitance value of the capacitance plate group in real time and determining the melting time of the ash according to the dielectric constant before and after the melting of the ash. The ash is used as the dielectric medium of the capacitance plate group, the capacitance value of the capacitance plate group is changed due to the variation of the dielectric constant before and after the ash is molten, and the melting occurrence and development situation of the ash can be timely and accurately controlled and prevented by monitoring the capacitance value of the capacitance plate group in real time.

The invention relates to a construction method for integrally forming a large cast-in-place thin-wall high pier through a stiff skeleton reinforcement cage. The construction method includes the main construction steps of (1) stiff skeleton erection, (2) locating frame installation, (3) locating frame and stiff skeleton butt joint, (4) reinforcing steel bar binding and forming, (5) lifting frame installation, (6) overall lifting and butt joint, (7) auxiliary facility disassembly, and (8) formwork construction. A structure related to the construction method has the beneficial effects that binding is convenient; the construction efficiency is high; a stiff skeleton can be partially disassembled and recycled; accurate localization of reinforcing steel bars is guaranteed and a double-layer locating frame is easy to disassemble; the reinforcing steel bars can be integrally formed and lifted for butt joint in a segmental manner; reinforcing steel bar binding time is shortened; the upper section and lower section concrete pouring period difference is reduced; and the economic and technological benefits are good.

The invention provides an aphid situation investigation method and device. The method includes the following steps: scanning aphid situation leaf samples so as to obtain aphid situation leaf image information; analyzing the aphid situation leaf image information so as to obtain an aphid number of the aphid situation leaf samples; and according to an aphid number of aphid situation leaf samples of a preset number and a preset aphid situation level standard, calculating an aphid situation level. Through adoption of the aphid situation investigation method and device, because the aphid situation leaf image information is obtained through a scanning method, the aphid situation level is obtained after analysis calculation is performed on the image information so that problems of inaccuracy and larger errors of the aphid situation investigation results, resulted from a visual inspection and manual check method are prevented and thus the aphid situation investigation is standardized and correct.

The invention discloses a multi-person all-weather elderly people nursing and assisting comprehensive service system, which comprises a cloud data storage server, an intelligent terminal and a peripheral camera. The intelligent terminal is provided with an APP; the APP is at least provided with four functional modules, namely a medical module, a food module, a living module and a walking module; and the peripheral camera records the surrounding environment of the elderly in 24 hours at the visual angle of the elderly, is connected with the APP, and uploads the shot video to the cloud data storage server in real time. The APP is established on a platform with calendar layout, children order medical, food, living and office nursing services through the platform, and the APP automatically generates a management log according to the ordered nursing services. The system focuses on solving the problem of looking after the elderly living away from children, achieves multifunctional integration by absorbing high-quality resources in all the fields, improves the service quality for the empty-nest elderly, and reflects more children care and social care.

The invention discloses an early recognition method of a loess shallow landslide and belongs to the technical field of landslide prevention and control engineering. The method comprises the following steps that a, a basic terrain data including the slope of a landslide body alpha, the landslide area A, the upper trailing edge slope of the landslide body beta, the upper trailing edge area of the landslide body A<Lu> and the lower side slope of a free face gamma of the landslide body is determined according to field investigation survey; b, the upper slow factor U is calculated according to U=tan(alpha-beta)*(A<Lu> / A) ,wherein beta<alpha; c, when gamma>alpha, the landslide body has the free face, the terrain synthetic discrimination factor of the landslide body T is calculated through the formula T=tan(alpha)+1.25U; d, the risk grade of the loess shallow landslide is divided into low, medium and high three grades according to terrain synthetic discrimination factor of the landslide body T. The early recognition method of loess shallow landslide and the application can accurately classify the landslide risk in a quantitative way, and identify the early loess shallow landslide without a large amount of historical observation data of the landslide, the early warning reaction time is shortened and the disaster prevention suitability is greatly improved.

The invention discloses HBC-based epileptic seizure prevention wearable medical equipment which structurally comprises a watch, a touch screen, a switch button, a watch strap, a power line, a blood oxygen saturation probe, USB (universal serial bus) interfaces and a connecting ring. The HBC-based epileptic seizure prevention wearable medical equipment has the advantages that fingertip blood changecaused by heart beating can be detected by a pulse sensor by the aid of the characteristic that infrared rays with specific wavelengths are sensitive to blood volume change caused by blood microcirculation of the tail ends of blood vessels, and can be processed by signal amplification and adjustment circuits and the like, the pulse sensor, a pressure sensor and an electrograph instrument contactare connected with data line jacks by the USB interface on the right side of the watch, then a detection watch can be connected with electrograph instruments by data lines, and an epileptic only needsto wear the HBC-based epileptic seizure prevention wearable medical equipment on the hand, so that certain prevention measures can be timely adopted, and accidental injury can be prevented.

The invention discloses a shallow soil landslide early warning method based on a digital topographic map, which belongs to the field of landslide prevention and control engineering, and is characterized by comprising the following steps of: a, connecting a straight line with middle points protruding upwards along a contour line of the topographic map to serve as a middle line; b, determining an intermediate point; c, forming three point groups of plane curvature; d, taking the arithmetic mean value of the gradient as the gradient alpha of the landslide mass; e, according to a terrain DEM data distribution principle, assignments of all points in each grid are the same; f, taking an arithmetic mean value; g, calculating a topographic factor T of the potential landslide mass; h, calculating a rainfall factor R; i, calculating a shallow soil landslide early warning judgment value P; and j, performing early warning according to the shallow soil landslide early warning judgment value P. According to the method, the shallow soil landslide can be pre-warned without a large amount of historical observation data of the landslide, the dangerous landslide body is determined in advance, and the disaster prevention applicability and the pre-warning efficiency are greatly improved.

The invention relates to the field of law risk management and control in colleges and universities. The problem that in an existing college management system, law questions encountered by students need to be investigated regularly for propaganda activities, and consequently the propaganda workload is large is solved. The legal risk assessment and prevention system for the colleges and universitiescomprises a server side, the server side comprises a database, risk information is stored in the database, and the risk information comprises type information; the receiving module is used for acquiring a consultation question; the identification module is used for identifying the consultation questions and matching risk information corresponding to the consultation questions from a database; thepushing module is used for feeding back the risk information to the students; the server side further comprises a statistics module which is used for carrying out classified statistics on the identified risk information; A statistical threshold value is also stored in the database; and the pushing module is used for sending the risk information to the school party when the statistic module countsthat the number of times of the risk information of a certain type exceeds a statistic threshold value.

The invention discloses a railway foreign body invasion distributed intelligent monitoring system based on machine vision. The system comprises an image acquisition unit, an image processing unit, a background estimation module, a target segmentation module, a target positioning module, a feature extraction module, a target recognition module, a behavior understanding module, a threat estimation module and an early warning module, which are connected in sequence. The monitoring system obtains a target image based on a binocular camera, and through middleware technology, supports the distributed deployment and centralized management of monitoring points and ensures system integrity and flexibility as well as effective processing capacity. The system is characterized by monitoring foreign body target information, processing the target image and positioning a foreign body target; then, carrying out threat analysis on the foreign body target; and finally, giving an early warning alert according to threat degree thereof, thereby facilitating trains along the railway to take preventive measures, and preventing accidents.

The invention discloses a serological method for rapid detection of tomato spotted wilt virus carried by individual thrips and its application A hybridoma cell strain 1A5By capable of secreting monoclonal antibody against tomato spotted wilt virus and having a preservation number of CGMCC No.9343 is utilized to establish a dot-ELISA method for detection of tomato spotted wilt virus carried by individual thrips, to research and develop a rapid detection kit, and to rapidly detect the virus carried rate of the field thrips carrying tomato spotted wilt virus. The invention can be used in mass rapid investigation of virus carried rate of the thrips and in early prediction of tendency and outbreak of the tomato spotted wilt virus. The detection method is fast, efficient, sensitive and specific, and has high throughput and easy operation, and provides technical support for the rapid diagnosis, prediction, forecast and scientific prevention and control of the tomato spotted wilt virus disease.

The invention discloses a method for calculating fault probability of an overhead-cable mixed line and a method for diagnosing fault probability of the overhead-cable mixed line, and the method comprises the steps: obtaining n types of first data information, the first data information being basic ledger data information and historical fault data information of a to-be-predicted overhead-cable mixed line; selecting any type of first data information, and performing data analysis on the first data information to obtain a weight and evaluation matrix; performing fuzzy operation on the weight and the evaluation matrix to obtain a fuzzy comprehensive evaluation set, and traversing n types of first data information to obtain n fuzzy comprehensive evaluation sets; performing defuzzification on the n fuzzy comprehensive evaluation sets to obtain the fault probability of the overhead-cable mixed line to be predicted; the invention has the beneficial effects that timely and corresponding precautionary measures can be taken for faults on the mixed line, and the occurrence of risk time on the mixed line is reduced.

The invention provides a medical event prediction method, wearable equipment and a computer readable storage medium, and belongs to the technical field of big data processing, and the calculation method comprises the steps: obtaining life signal data of a user; setting windows based on a preset rule, wherein each window comprises multiple segments of life signal data; extracting features from the multiple sections of life signal data in the window; and calculating the features extracted based on the window and a pre-trained prediction model to obtain a calculation result. The calculation result is accurate, and the state of the user can be accurately reflected, so that the user can know the state of the user in time, discover problems and prevent the problems as soon as possible.

The invention provides an aphid situation investigation method and apparatus. The method comprises: an aphid situation leaf sample is scanned to obtain aphid situation leaf image information; the aphid situation leaf image information is analyzed and the number of aphids of the aphid situation leaf sample is obtained; and according to a preset number of aphids of the aphid situation leaf sample and a preset aphid situation grade standard, an aphid situation grade is calculated. With the method and apparatus, the aphid situation leaf image information is obtained by using a scanning way and then is analyzed and calculated to obtain the aphid situation grade. Therefore, a problem that the aphid situation investigation result is not accurate and the error is large due to utilization of the visual inspection and hand-operated searching method can be solved; and thus the aphid situation investigation becomes standard and accurate.

The invention discloses a safety management method, an intelligent terminal and a computer readable storage medium. The method comprises the following steps: acquiring risk information obtained by identifying daily hazards of employees; performing management and control according to the identified risk information, and updating initial data corresponding to the risk information to obtain updated data; according to the update data, generating a risk hierarchical management and control map, the risk hierarchical management and control map comprising a risk identifier corresponding to each operation area; and when a position coordinate is received, displaying a risk identifier corresponding to the position coordinate according to the risk grading management and control map. According to the method, the risk condition of each operation area can be conveniently and quickly obtained in real time for a user, so that the risk prevention consciousness is improved, and the management and control efficiency of safety production is improved.

The invention relates to the technical field of building construction tools, in particular to an object falling prevention device for building construction management, which comprises a building wall body, a mounting seat, an object receiving table, a connecting pipe and a sliding rod, and further comprises a plurality of suction cups uniformly arranged between the building wall body and the mounting seat; the anti-falling gauze element is arranged in a through window formed in the object receiving table; the winding disc is movably arranged in a cavity formed in the object receiving table, one end of the anti-falling gauze element is connected with the side wall of the through window, the other end of the anti-falling gauze element is connected with the winding disc, and a torsional spring is arranged between the winding disc and the object receiving table; the preliminary air exhaust module is arranged between the suction cup and the sliding rod; the monitoring system is arranged on the object receiving table and is connected with the winding disc; according to the device, the weight of a falling object can be monitored, the alarm volume of the alarm can be adjusted according to the impact force of the falling object on the anti-falling gauze element, a constructor can take prevention measures in time according to the alarm volume of the alarm, and the safety coefficient is high.

The invention discloses a serology method for rapidly detecting the capsicum chlorosis virus. The method adopts the CaCV NP polyclone antibody for detecting CaCV and has the advantages of being rapid,high in specificity, high in sensitivity and reliable in detection result, and the method is not affected by the host type, and can effectively eliminate the false positive reaction. The concentration of the CaCV antigen is 6.25 ng / ml, and the method can specifically recognize the CaCV antigen.